How organisms adapt to new environments is of fundamental biological interest, but poorly understood at the genetic level. Chemosensory systems provide attractive models to address this problem, because they lie between external environmental signals and internal physiological responses. To investigate how selection has shaped the well-characterized chemosensory system of Drosophila melanogaster, this study analysed genome-wide data from five diverse populations. By couching population genomic analyses of chemosensory protein families, including odorant receptors, gustatory receptors, and odorant-binding proteins, within parallel analyses of other large families, it was demonstrated that chemosensory proteins are not outliers for adaptive divergence between species. However, chemosensory families often display the strongest genome-wide signals of recent selection within D. melanogaster. Recent adaptation has operated almost exclusively on standing variation, and patterns of adaptive mutations predict diverse effects on protein function. Finally, evidence is provided that chemosensory proteins have experienced relaxed constraint, and it is argued that this has been important for their rapid adaptation over short timescales (Arguello, 2016).
Gene expression profiling is one of the most reliable high-throughput phenotyping methods, allowing researchers to quantify the transcript abundance of expressed genes. Because many biotic and abiotic factors influence gene expression, it is recommended to control them as tightly as possible. This study shows that a 24 h age difference of Drosophila simulans females that were subjected to RNA sequencing (RNA-Seq) five and six days after eclosure resulted in more than 2000 differentially expressed genes. This is twice the number of genes that changed expression during 100 generations of evolution in a novel hot laboratory environment. Importantly, most of the genes differing in expression due to age introduce false positives or negatives if an adaptive gene expression analysis is not controlled for age. These results indicate that tightly controlled experimental conditions, including precise developmental staging, are needed for reliable gene expression analyses, in particular in an evolutionary framework (Hsu, 2019).
Divergent populations across different environments are exposed to critical sensory information related to locating a host or mate, as well as avoiding predators and pathogens. These sensory signals generate evolutionary changes in neuroanatomy and behavior; however, few studies have investigated patterns of neural architecture that occur between sensory systems, or that occur within large groups of closely-related organisms. This study examine 62 species within the genus Drosophila and describes an inverse resource allocation between vision and olfaction, which was consistently observe at the periphery, within the brain, as well as during larval development. This sensory variation was noted across the entire genus and appears to represent repeated, independent evolutionary events, where one sensory modality is consistently selected for at the expense of the other. Moreover, evidence is provided of a developmental genetic constraint through the sharing of a single larval structure, the eye-antennal imaginal disc. In addition, the ecological implications of visual or olfactory bias were examined, including the potential impact on host-navigation and courtship (Keesey, 2019).
Thermal adaptation is typically detected by examining the tolerance of a few populations to extreme temperatures within a single life stage. However, the extent to which adaptation occurs among many different populations might depend on the tolerance of multiple life stages and the average temperature range that the population experiences. This study examined local adaptation to native temperature conditions in eleven populations of the well-known cosmopolitan fruit fly, Drosophila melanogaster. These populations were sampled from across the global range of D. melanogaster. Traits related to fitness were measured during each life stage to determine if certain stages are more sensitive to changes in temperature than others. D. melanogaster appeared to show local adaptation to native temperatures during the egg, larval, and adult life stages, but not the pupal stage. This suggests that across the entire distribution of D. melanogaster, certain life stages might be locally adapted to native temperatures, while other stages might use phenotypic plasticity or tolerance to a wide range of temperatures experienced in the native environment of this species (Austin, 2019).
During evolution, organisms have acquired variable feeding habits. Some species are nutritional generalists that adapt to various food resources, while others are specialists, feeding on specific resources. However, much remains to be discovered about how generalists adapt to diversified diets. Larvae of the generalists Drosophila melanogaster and D. simulans develop on three diets with different nutrient balances, whereas specialists D. sechellia and D. elegans cannot develop on carbohydrate-rich diets. The generalist D. melanogaster downregulates the expression of diverse metabolic genes systemically by transforming growth factor beta (TGF-beta)/Activin signaling, maintains metabolic homeostasis, and successfully adapts to the diets. In contrast, the specialist D. sechellia expresses those metabolic genes at higher levels and accumulates various metabolites on the carbohydrate-rich diet, culminating in reduced adaptation. Phenotypic similarities and differences strongly suggest that the robust carbohydrate-responsive regulatory systems are evolutionarily retained through genome-environment interactions in the generalists and contribute to their nutritional adaptabilities (Watanabe, 2019).
Climate warming is threatening biodiversity worldwide. Climate specialists such as alpine species are especially likely to be vulnerable. Adaptation by rapid evolution is the only long-term option for survival of many species, but the adaptive evolutionary potential of heat resistance has not been assessed in an alpine invertebrate. This study show that the alpine fly Drosophila nigrosparsa cannot readily adapt to heat stress. Heat-exposed flies from a regime with increased ambient temperature and a regime with increased temperature plus artificial selection for heat tolerance were less heat tolerant than the control group. Increased ambient temperature affected negatively both fitness and competitiveness. Ecological niche models predicted the loss of three quarters of the climatically habitable areas of this fly by the end of this century. These findings suggest that, alongside with other climate specialists, species from mountainous regions are highly vulnerable to climate warming and unlikely to adapt through evolutionary genetic changes (Kinzner, 2019).
Relationships between an organism and its environment can be fundamental in the understanding how populations change over time and species arise. Local ecological conditions can shape variation at multiple levels, among these are the evolutionary history and trajectories of coding genes. This study examines the rate of molecular evolution at protein-coding genes throughout the genome in response to host adaptation in the cactophilic Drosophila mojavensis. These insects are intimately associated with cactus necroses, developing as larvae and feeding as adults in these necrotic tissues. Drosophila mojavensis is composed of four isolated populations across the deserts of western North America and each population has adapted to utilize different cacti that are chemically, nutritionally, and structurally distinct. High coverage Illumina sequencing was performed on three previously unsequenced populations of D. mojavensis. Genomes were assembled using the previously sequenced genome of D. mojavensis from Santa Catalina Island (USA) as a template. Protein coding genes were aligned across all four populations and rates of protein evolution were determined for all loci using a several approaches. Loci that exhibited elevated rates of molecular evolution tend to be shorter, have fewer exons, low expression, be transcriptionally responsive to cactus host use and have fixed expression differences across the four cactus host populations. Fast evolving genes were involved with metabolism, detoxification, chemosensory reception, reproduction and behavior. Results of this study give insight into the process and the genomic consequences of local ecological adaptation (Allan, 2019).
Population genomic data has revealed patterns of genetic variation associated with adaptation in many taxa. Yet understanding the adaptive process that drives such patterns is challenging; it requires disentangling the ecological agents of selection, determining the relevant timescales over which evolution occurs, and elucidating the genetic architecture of adaptation. Doing so for the adaptation of hosts to their microbiome is of particular interest with growing recognition of the importance and complexity of host-microbe interactions. This study tracked the pace and genomic architecture of adaptation to an experimental microbiome manipulation in replicate populations of Drosophila melanogaster in field mesocosms. Shifts in microbiome composition altered population dynamics and led to divergence between treatments in allele frequencies, with regions showing strong divergence found on all chromosomes. Moreover, at divergent loci previously associated with adaptation across natural populations, the more common allele was found in fly populations experimentally enriched for a certain microbial group was also more common in natural populations with high relative abundance of that microbial group. These results suggest that microbiomes may be an agent of selection that shapes the pattern and process of adaptation and, more broadly, that variation in a single ecological factor within a complex environment can drive rapid, polygenic adaptation over short timescales (Rudman, 2019).
Drosophila melanogaster recently spread from its tropical origin in Africa and became a cosmopolitan species that has adapted to a wide range of different thermal environments, including temperate climates. An important limiting factor of temperate climates has probably been their low and varying temperatures. The transcriptional output of genes can vary across temperatures, which might have been detrimental while settling in temperate environments. The reduction of temperature-sensitive expression of functionally important genes to ensure consistent levels of gene expression might have been relevant while adapting to such environments. This study focuses on the gene vestigial (vg) whose product is a key factor in wing development. Evidence is provided that temperature-sensitivity of vg has been buffered in populations from temperate climates. Temperature-sensitivity of vg gene expression was investigated in six natural populations, including four temperate populations (three from Europe and one from high-altitude Africa), and two tropical populations from the ancestral species range. All temperate populations exhibited a lower degree of temperature-induced expression plasticity than the tropical populations (Voigt, 2019).
Drosophila melanogaster is thought to originate from sub-Saharan Africa. This study documents the collection of 288 D. melanogaster individuals from multiple African wilderness areas in Zambia, Zimbabwe, and Namibia. The presence of D. melanogaster in these remote woodland environments is consistent with an ancestral range in southern-central Africa, as opposed to equatorial regions. After sequencing the genomes of 17 wilderness-collected flies collected from Kafue National Park in Zambia, reduced genetic diversity relative to town populations, elevated chromosomal inversion frequencies, and strong differences at specific genes including known insecticide targets were found. Combining these genomes with existing data, this study probed the history of this species' geographic expansion. Demographic estimates indicated that expansion from southern-central Africa began approximately 10,000 years ago, with a Saharan crossing soon after, but expansion from the Middle East into Europe did not begin until roughly 1,400 years ago. This improved model of demographic history will provide an important resource for future evolutionary and genomic studies of this key model organism. These findings add context to the history of D. melanogaster, while opening the door for future studies on the biological basis of adaptation to human environments (Sprengelmeyer, 2019).
In animals, the most common type of RNA editing is the deamination of adenosines (A) into inosines (I). Because inosines base-pair with cytosines (C), they are interpreted as guanosines (G) by the cellular machinery and genomically encoded G alleles at edited sites mimic the function of edited RNAs. The contribution of this hardwiring effect on genome evolution remains obscure. This study looked for population genomics signatures of adaptive evolution associated with A-to-I RNA edited sites in humans and Drosophila melanogaster. Single nucleotide polymorphisms at edited sites occur 3 (humans) to 15 times (Drosophila) more often than at unedited sites, the nucleotide G is virtually the unique alternative allele at edited sites and G alleles segregate at higher frequency at edited sites than at unedited sites. This study study reveals that a significant fraction of coding synonymous and nonsynonymous as well as silent and intergenic A-to-I RNA editing sites are likely adaptive in the distantly related human and Drosophila lineages (Popitsch, 2020).
The pervasive occurrence of sexual dimorphism demonstrates different adaptive strategies of males and females. While different reproductive strategies of the two sexes are well-characterized, very little is known about differential functional requirements of males and females in their natural habitats. The impact environmental change on the selection response was studied in both sexes. Exposing replicated Drosophila populations to a novel temperature regime, sex-specific changes were demonstrated in gene expression, metabolic and behavioral phenotypes in less than 100 generations. This indicates not only different functional requirements of both sexes in the new environment but also rapid sex-specific adaptation. Supported by computer simulations it is proposed that altered sex-biased gene regulation from standing genetic variation, rather than new mutations, is the driver of rapid sex-specific adaptation. This discovery of environmentally driven divergent functional requirements of males and females has important implications-possibly even for gender aware medical treatments (Hsu, 2020).
Cold stress is a critical environmental challenge that affects an organism's fitness-related traits. In Drosophila, increased resistance to specific environmental stress may lead to increased resistance to other kinds of stress. This study aimed to understand whether increased cold stress resistance in Drosophila melanogaster can facilitate their ability to tolerate other environmental stresses. This study used successfully selected replicate populations of D. melanogaster against cold shock and their control population. The present work investigated egg viability and mating frequency with and without heat and cold shock conditions in the selected and their control populations. Resistance to cold shock, heat shock, desiccation, starvation, and survival post-challenge with Staphylococcus succinus subsp. succinus PK-1 were also examined in the selected and their control populations. After cold-shock treatment, it was found a 1.25 times increase in egg viability and a 1.57 times increase in mating frequency in the selected populations compared to control populations. Moreover, more males (0.87 times) and females (1.66 times) of the selected populations survived under cold shock conditions relative to their controls. After being subjected to heat shock, the selected population's egg viability and mating frequency increased by 0.30 times and 0.57 times, respectively, compared to control populations. Additionally, more selected males (0.31 times) and females (0.98 times) survived under heat shock conditions compared to the control populations. Desiccation resistance slightly increased in the females of the selected populations relative to their control, but no change was observed in the case of males. Starvation resistance decreased in males and females of the selected populations compared to their controls. These findings suggest that the increased resistance to cold shock correlates with increased tolerance to heat stress, but this evolved resistance comes at a cost, with decreased tolerance to starvation (Singh, 2022).
Neuronal activity is temperature-sensitive and affects behavioral traits important for individual fitness, such as locomotion and courtship. Yet not enough is known about the evolutionary response of neuronal phenotypes in new temperature environments. This study used long-term experimental evolution of Drosophila simulans populations exposed to novel temperature regimes. A direct relationship was demonstrated between thermal selective pressure and the evolution of neuronally expressed molecular and behavioral phenotypes. Several essential neuronal genes evolve lower expression at high temperatures and higher expression at low temperatures, with dopaminergic neurons standing out by displaying the most consistent expression change across independent replicates. The link between evolved gene expression and behavioral changes was functionally validated by pharmacological intervention in the experimentally evolved D. simulans populations as well as by genetically triggered expression changes of key genes in D. melanogaster. Since natural temperature clines confirm these results for Drosophila and Anopheles populations, it is concluded that neuronal dopamine evolution is a key factor for temperature adaptation (Jaksic, 2020).
Many organisms enter a dormant state in their life cycle to deal with predictable changes in environments over the course of a year. The timing of dormancy is therefore a key seasonal adaptation, and it evolves rapidly with changing environments. The hypothesis that differences in the timing of seasonal activity are driven by differences in the rate of development during diapause was tested in Rhagoletis pomonella, a fly specialized to feed on fruits of seasonally limited host plants. Transcriptomes from the central nervous system across a time series during diapause show consistent and progressive changes in transcripts participating in diverse developmental processes, despite a lack of gross morphological change. Moreover, population genomic analyses suggested that many genes of small effect enriched in developmental functional categories underlie variation in dormancy timing and overlap with gene sets associated with development rate in Drosophila melanogaster. These transcriptional data also suggested that a recent evolutionary shift from a seasonally late to a seasonally early host plant drove more rapid development during diapause in the early fly population. Moreover, genetic variants that diverged during the evolutionary shift were also enriched in putative cis regulatory regions of genes differentially expressed during diapause development. Overall, these data suggest polygenic variation in the rate of developmental progression during diapause contributes to the evolution of seasonality in R. pomonella. Patterns that suggest hourglass-like developmental divergence early and late in diapause development are discussed along with an important role for hub genes in the evolution of transcriptional divergence (Dowle, 2020).
One hypothesis for the function of sleep is that it serves as a mechanism to conserve energy. Recent studies have suggested that increased sleep can be an adaptive mechanism to improve survival under food deprivation in Drosophila melanogaster. To test the generality of this hypothesis, Sleep and its plastic response to starvation was compared in a temperate and tropical population of Drosophila melanogaster. Flies from the temperate population were found to be more starvation resistant, and it was hypothesized that they would engage in behaviors that are considered to conserve energy, including increased sleep and reduced movement. Surprisingly, temperate flies slept less and moved more when they were awake compared to tropical flies, both under fed and starved conditions, therefore sleep did not correlate with population-level differences in starvation resistance. In contrast, total sleep and percent change in sleep when starved were strongly positively correlated with starvation resistance within the tropical population, but not within the temperate population. Thus, unexpectedly complex relationships between starvation and sleep were observed that vary both within and across populations. These observations falsify the simple hypothesis of a straightforward relationship between sleep and energy conservation. The hypothesis that starvation is correlated with metabolic phenotypes was tested by investigating stored lipid and carbohydrate levels; stored metabolites were found to partially contributed towards variation starvation resistance. These findings demonstrate that the function of sleep under starvation can rapidly evolve on short timescales and raise new questions about the physiological correlates of sleep and the extent to which variation in sleep is shaped by natural selection (Sarikaya, 2020).
Ecological adaptation is frequently inferred by the comparison of natural populations from different environments. Nevertheless, the inference of the selective forces suffers the challenge that many environmental factors covary. With well-controlled environmental conditions, experimental evolution provides a powerful approach to complement the analysis of natural populations. On the other hand, it is apparent that laboratory conditions differ in many ways from natural environments, which raises the question to what extent selection responses in experimental evolution studies can inform about adaptation processes in the wild. This study compared the expression profiles of replicated Drosophila melanogaster populations which have been exposed to two distinct temperature regimes (18/28 °C and 10/20 °C) in the laboratory for more than 80 generations. Using gene-wise differential expression analysis and co-expression network analysis, 541 genes and three co-regulated gene modules were identified that evolved in the same direction in both temperature regimes, and most of these changes probably reflect an adaptation to the space constrain or diurnal temperature fluctuation that is common in both selection regimes. 203 genes and seven modules evolved temperature-specific expression changes. Remarkably, a significant overlap was detected of these temperature-adaptive genes/modules from experimental evolution with temperature-adaptive genes inferred from natural Drosophila populations covering two different temperature clines. It is concluded that well-designed experimental evolution studies are a powerful tool to dissect evolutionary responses (Hsu, 2020).
Phenotypic plasticity is the ability of a single genotype to produce different phenotypes in response to environmental variation. The importance of phenotypic plasticity in natural populations and its contribution to phenotypic evolution during rapid environmental change is widely debated. This study shows that thermal plasticity of gene expression in natural populations is a key component of its adaptation: evolution to novel thermal environments increases ancestral plasticity rather than mean genetic expression. The evolution of plasticity in gene expression was determined by conducting laboratory natural selection on a Drosophila simulans population in hot and cold environments. After more than 60 generations in the hot environment, 325 genes evolved a change in plasticity relative to the natural ancestral population. Plasticity increased in 75% of these genes, which were strongly enriched for several well-defined functional categories (e.g. chitin metabolism, glycolysis and oxidative phosphorylation). Furthermore, this study showed that plasticity in gene expression of populations exposed to different temperatures is rather similar across species. It is concluded that most of the ancestral plasticity can evolve further in more extreme environments (Mallard, 2020).
A fundamental aim of adaptation genomics is to identify polymorphisms that underpin variation in fitness traits. In D. melanogaster latitudinal life-history clines exist on multiple continents and make an excellent system for dissecting the genetics of adaptation. Previous work has identified numerous clinal SNPs in insulin/insulin-like growth factor signaling (IIS), a pathway known from mutant studies to affect life history. However, the effects of natural variants in this pathway remain poorly understood. This study investigated how two clinal alternative alleles at foxo, a transcriptional effector of IIS, affect fitness components (viability, size, starvation resistance, fat content). This polymorphism from the North American cline was assessed by reconstituting outbred populations, fixed for either the low- or high-latitude allele, from inbred DGRP lines. Since diet and temperature modulate IIS, alleles were phenotyped across two temperatures (18 ° C, 25 ° C) and two diets differing in sugar source and content. Consistent with clinal expectations, the high-latitude allele conferred larger body size and reduced wing loading. Alleles also differed in starvation resistance and expression of InR, a transcriptional target of FOXO. Allelic reaction norms were mostly parallel, with few GxE interactions. Together, these results suggest that variation in IIS makes a major contribution to clinal life-history adaptation ( , ).
While several studies in a diverse set of species have shed light on the genes underlying adaptation, knowledge on the selective pressures that explain the observed patterns lags behind. Drosophila melanogaster is a valuable organism to study environmental adaptation because this species originated in Southern Africa and has recently expanded worldwide, and also because it has a functionally well-annotated genome. This work aimed to decipher which environmental variables are relevant for adaptation of D. melanogaster natural populations in Europe and North America. 36 whole-genome pool-seq samples of D. melanogaster natural populations were ezamined, collected in 20 European and 11 North American locations. The BayPass software was used to identify SNPs and transposable elements showing signature of adaptive differentiation across populations, as well as significant associations with 59 environmental variables related to temperature, rainfall, evaporation, solar radiation, wind, daylight hours, and soil type. Besides temperature and rainfall, wind related variables are also relevant for D. melanogaster environmental adaptation. Interestingly, 23% to 51% of the genes that showed significant associations with environmental variables were not found overly differentiated across populations. Besides SNPs, ten reference transposable element insertions associated with environmental variables were identified. These results showed that genome-environment association analysis can identify adaptive genetic variants that are undetected by population differentiation analysis while also allowing the identification of candidate environmental drivers of adaptation (Bogaerts-Marquez, 2020).
To detect the genomic mechanisms underlying evolutionary dynamics of adaptation in sexually reproducing organisms, this study analyze multigenerational whole genome sequences of Drosophila melanogaster adapting to extreme O(2) conditions over an experiment conducted for nearly two decades. Methods to analyze time-series genomics data and predict adaptive mechanisms were developed. This study report a remarkable level of synchronicity in both hard and soft selective sweeps in replicate populations as well as the arrival of favorable de novo mutations that constitute a few asynchronized sweeps. Additionally direct experimental observations were made of rare recombination events that combine multiple alleles on to a single, better-adapted haplotype. Based on the analyses of the genes in genomic intervals, this study provides a deeper insight into the mechanisms of genome adaptation that allow complex organisms to survive harsh environments (Iranmehr, 2021).
Periods of nutrient shortage impose strong selection on animal populations. Experimental studies of genetic adaptation to nutrient shortage largely focus on resistance to acute starvation at adult stage; it is not clear how conclusions drawn from these studies extrapolate to other forms of nutritional stress. The genomic signature of adaptation to chronic juvenile malnutrition was studied in six populations of Drosophila melanogaster evolved for 150 generations on an extremely nutrient-poor larval diet. Comparison with control populations evolved on standard food revealed repeatable genomic differentiation between the two set of population, involving >3,000 candidate SNPs forming >100 independently evolving clusters. The candidate genomic regions were enriched in genes implicated in hormone, carbohydrate, and lipid metabolism, including some with known effects on fitness-related life-history traits. Rather than being close to fixation, a substantial fraction of candidate SNPs segregated at intermediate allele frequencies in all malnutrition-adapted populations. This, together with patterns of among-population variation in allele frequencies and estimates of Tajima's D, suggests that the poor diet results in balancing selection on some genomic regions. Candidate genes for tolerance to larval malnutrition showed a high overlap with genes previously implicated in acute starvation resistance. However, adaptation to larval malnutrition in this study was associated with reduced tolerance to acute adult starvation. Thus, rather than reflecting synergy, the shared genomic architecture appears to mediate an evolutionary trade-off between tolerances to these two forms of nutritional stress (Kawecki, 2021).
Forecasting which species/ecosystems are most vulnerable to climate warming is essential to guide conservation strategies to minimize extinction. Tropical/mid-latitude species are predicted to be most at risk as they live close to their upper critical thermal limits (CTLs). However, these assessments assume that upper CTL estimates, such as CTmax, are accurate predictors of vulnerability and ignore the potential for evolution to ameliorate temperature increases. This study used experimental evolution to assess extinction risk and adaptation in tropical and widespread Drosophila species. Tropical species were found to succumb to extinction before widespread species. Male fertility thermal limits, which are much lower than CTmax, are better predictors of species' current distributions and extinction in the laboratory. Little evidence was found of adaptive responses to warming in any species. These results suggest that species are living closer to their upper thermal limits than currently presumed and evolution/plasticity are unlikely to rescue populations from extinction (van Heerwaarden, 2021).
Changes in gene regulation at multiple levels may comprise an important share of the molecular changes underlying adaptive evolution in nature. However, few studies have assayed within- and between-population variation in gene regulatory traits at a transcriptomic scale, and therefore inferences about the characteristics of adaptive regulatory changes have been elusive. This study assessed quantitative trait differentiation in gene expression levels and alternative splicing (intron usage) between three closely-related pairs of natural populations of Drosophila melanogaster from contrasting thermal environments that reflect three separate instances of cold tolerance evolution. The cold-adapted populations were known to show population genetic evidence for parallel evolution at the SNP level, and this study found evidence for parallel expression evolution between them, with stronger parallelism at larval and adult stages than for pupae. A flexible method was implemented to estimate cis- versus trans-encoded contributions to expression or splicing differences at the adult stage. The apparent contributions of cis- versus trans-regulation to adaptive evolution vary substantially among population pairs. While two of three population pairs show a greater enrichment of cis-regulatory differences among adaptation candidates, trans-regulatory differences are more likely to be implicated in parallel expression changes between population pairs. Genes with significant cis-effects are enriched for signals of elevated genetic differentiation between cold- and warm-adapted populations, suggesting that they are potential targets of local adaptation. These findings expand knowledge of adaptive gene regulatory evolution and the ability to make inferences about this important and widespread process (Huang, 2021).
A collection of forty populations were used to study the phenotypic adaptation of Drosophila melanogaster larvae to urea-laced food. Fifteen populations subjected to direct selection for urea tolerance and five controls were studied. In addition, another twenty populations were studied that had not been exposed to urea but were subjected to stress or demographic selection. This study describes the differentiation in these population for six phenotypes: (1) larval feeding rates, (2) larval viability in urea-laced food, (3) larval development time in urea-laced food, (4) adult starvation times, (5) adult desiccation times, and (6) larval growth rates. No significant differences were observed for desiccation resistance. The demographically/stress-selected populations had longer times to starvation than urea-selected populations. The urea-adapted populations showed elevated survival and reduced development time in urea-laced food relative to the control and nonadapted populations. The urea-adapted populations also showed reduced larval feeding rates relative to controls. This study showed that there is a strong linear relationship between feeding rates and growth rates at the same larval ages feeding rates were measured. This suggests that feeding rates are correlated with food intake and growth. This relationship between larval feeding rates, food consumption, and efficiency has been postulated to involve important trade-offs that govern larval evolution in stressful environments. These results support the idea that energy allocation is a central organizing theme in adaptive evolution (Bitner, 2021).
Animals may vary in their utilization of plants depending on plant availability, and also on the sex of the animal.
Evolutionary adaptations may arise, particularly in specialist animals to the chemistry of the host plants, and these adaptations may differ between the sexes due to differences in their interactions with the plants. Drosophila mojavensis uses different host cacti across its range, and volatile chemicals emitted by the host are the primary cue for host plant identification. This study measured responses of individual olfactory sensory neurons to a large suite of odorants across males and females of the two southern D. mojavensis populations. A switch in host plant was shown to be accompanied by changes in the olfactory system, but the effect of this switch is minor compared to that of sex. That is, differences were observed in olfactory receptor neuron specificity and sensitivity to odorants between sexes, and to a lesser extent between populations. The majority of sensory differences are restricted to only three of the 17 sensory neurons measured. Further, numerous differences between sexes were found that only occur within one population, i.e., sex-by-population interactions (Ammagarahalli, 2021).
Adaptation to rapid environmental changes must occur within a short-time scale. In this context, studies of invasive species may provide insights into the underlying mechanisms of rapid adaptation as these species have repeatedly encountered and adapted to novel environmental conditions. This study investigated how invasive and noninvasive genotypes of Drosophila suzukii deal with oxidative stress at the phenotypic and molecular levels. Also studied was the impact of transposable element (TE) insertions on the gene expression in response to stress. Results show that flies from invasive areas (France and the United States) live longer in natural conditions than the ones from native Japanese areas. As expected, lifespan for all genotypes was significantly reduced following exposure to paraquat, but this reduction varied among genotypes (genotype-by-environment interaction) with invasive genotypes appearing more affected by exposure than noninvasive ones. A transcriptomic analysis of genotypes upon paraquat treatment detected many genes differentially expressed (DE). Although a small core set of genes were DE in all genotypes following paraquat exposure, much of the response of each genotype was unique. Moreover, it was shown that TEs were not activated after oxidative stress and DE genes were significantly depleted of TEs. In conclusion, it is likely that transcriptomic changes are involved in the rapid adaptation to local environments. This study provides new evidence that in the decade since the invasion from Asia, the sampled genotypes in Europe and the United States of D. suzukii diverged from the ones from the native area regarding their phenotypic and genomic response to oxidative stress (Marin, 2021).
Adaptive evolution is key in mediating responses to global warming and may sometimes be the only solution for species to survive. Such evolution will expectedly lead to changes in the populations' thermal reaction norm and improve their ability to cope with stressful conditions. Conversely, evolutionary constraints might limit the adaptive response. This study tests these expectations by performing a real-time evolution experiment in historically differentiated Drosophila subobscura populations. The phenotypic change was addressed after nine generations of evolution in a daily fluctuating environment with average constant temperature, or in a warming environment with increasing average and amplitude temperature across generations. The results showed that (1) evolution under a global warming scenario does not lead to a noticeable change in the thermal response; (2) historical background appears to be affecting responses under the warming environment, particularly at higher temperatures; and (3) thermal reaction norms are trait dependent: although lifelong exposure to low temperature decreases fecundity and productivity but not viability, high temperature causes negative transgenerational effects on productivity and viability, even with high fecundity. These findings in such an emblematic organism for thermal adaptation studies raise concerns about the short-term efficiency of adaptive responses to the current rising temperatures (Santos, 2021).
An animal's vision depends on terrain features that limit the amount and distribution of available light. Approximately 10,000 years ago, vinegar flies (Drosophila melanogaster) transitioned from a single plant specialist into a cosmopolitan generalist. Much earlier, desert flies (D. mojavensis) colonized the New World, specializing on rotting cactuses in southwest North America. Their desert habitats are characteristically flat, bright, and barren, implying environmental differences in light availability. This study demonstrated differences in eye morphology and visual motion perception under three ambient light levels. Reducing ambient light from 35 to 18 cd/m(2) causes sensitivity loss in desert but not vinegar flies. However, at 3 cd/m(2), desert flies sacrifice spatial and temporal acuity more severely than vinegar flies to maintain contrast sensitivity. These visual differences help vinegar flies navigate under variably lit habitats around the world and desert flies brave the harsh desert while accommodating their crepuscular lifestyle (Currea, 2022).
Proteins are the building blocks for almost all the functions in cells. Understanding the molecular evolution of proteins and the forces that shape protein evolution is essential in understanding the basis of function and evolution. Previous studies have shown that adaptation frequently occurs at the protein surface, such as in genes involved in host-pathogen interactions. However, it remains unclear whether adaptive sites are distributed randomly or at regions associated with particular structural or functional characteristics across the genome, since many proteins lack structural or functional annotations. This study sought to tackle this question by combining large-scale bioinformatic prediction, structural analysis, phylogenetic inference, and population genomic analysis of Drosophila protein-coding genes. Protein sequence adaptation was found to be more relevant to function-related rather than structure-related properties. Interestingly, intermolecular interactions contribute significantly to protein adaptation. Intermolecular interactions, such as physical interactions, may play a role in the coadaptation of fast-adaptive proteins. It was found that strongly differentiated amino acids across geographic regions in protein-coding genes are mostly adaptive, which may contribute to the long-term adaptive evolution. This strongly indicates that a number of adaptive sites tend to be repeatedly mutated and selected throughout evolution in the past, present, and maybe future. These results highlight the important roles of intermolecular interactions and coadaptation in the adaptive evolution of proteins both at the species and population levels (Peng, 2022).
Direct observation of evolution in response to natural environmental change can resolve fundamental questions about adaptation, including its pace, temporal dynamics, and underlying phenotypic and genomic architecture. This study tracked the evolution of fitness-associated phenotypes and allele frequencies genome-wide in 10 replicate field populations of Drosophila melanogaster over 10 generations from summer to late fall. Adaptation was evident over each sampling interval (one to four generations), with exceptionally rapid phenotypic adaptation and large allele frequency shifts at many independent loci. The direction and basis of the adaptive response shifted repeatedly over time, consistent with the action of strong and rapidly fluctuating selection. Overall, clear phenotypic and genomic evidence were found of adaptive tracking occurring contemporaneously with environmental change, thus demonstrating the temporally dynamic nature of adaptation (Rudman, 2022).
Understanding the dynamics of species adaptation to their environments has long been a central focus of the study of evolution. Theories of adaptation propose that populations evolve by "walking" in a fitness landscape. This "adaptive walk" is characterised by a pattern of diminishing returns, where populations further away from their fitness optimum take larger steps than those closer to their optimal conditions. Hence, it is expected that young genes evolve faster and experience mutations with stronger fitness effects than older genes because they are further away from their fitness optimum. Testing this hypothesis, however, constitutes an arduous task. Young genes are small, encode proteins with a higher degree of intrinsic disorder, are expressed at lower levels, and are involved in species-specific adaptations. Since all these factors lead to increased protein evolutionary rates, they could be masking the effect of gene age. While controlling for these factors, this study used population genomic data sets of Arabidopsis and Drosophila and estimated the rate of adaptive substitutions across genes from different phylostrata. A gene's evolutionary age was found to significantly impact the molecular rate of adaptation. Moreover, it was observed that substitutions in young genes tend to have larger physicochemical effects. This study, therefore, provides strong evidence that molecular evolution follows an adaptive walk model across a large evolutionary timescale (Moutinho, 2022).
Populations of short-lived organisms can respond to spatial and temporal environmental heterogeneity through local adaptation. Local adaptation can be reflected on both phenotypic and genetic levels, and it has been documented in many organisms. Although complex fitness-related phenotypes have been shown to vary across latitudinal clines and seasons in similar ways in Drosophila melanogaster populations, the comparative signals of local adaptation across space and time remain poorly understood. This study examined patterns of allele frequency change across a latitudinal cline and between seasons at previously reported expression quantitative trait loci (eQTLs). eQTLs were divided into groups by using differential expression profiles of fly populations collected across latitudinal clines or exposed to different environmental conditions. In general, eQTLs were found to be enriched for clinally varying polymorphisms, and these eQTLs changed in frequency in concordant ways across the cline and in response to starvation and chill-coma. The enrichment of eQTLs among seasonally varying polymorphisms is more subtle, and the direction of allele frequency change at eQTLs appears to be somewhat idiosyncratic. Taken together, it is suggested that clinal adaptation at eQTLs is at least partially distinct from seasonal adaptation (Yu, 2022).
Local adaptation can lead to elevated genetic differentiation at the targeted genetic variant and nearby sites. Selective sweeps come in different forms, and depending on the initial and final frequencies of a favored variant, very different patterns of genetic variation may be produced. If local selection favors an existing variant that had already recombined onto multiple genetic backgrounds, then the width of elevated genetic differentiation (high FST) may be too narrow to detect using a typical windowed genome scan, even if the targeted variant becomes highly differentiated. Therefore a simulation approach was used to investigate the power of SNP-level FST (specifically, the maximum SNP FST value within a window, or FST_MaxSNP) to detect diverse scenarios of local adaptation, and compared it against whole-window FST and the Comparative Haplotype Identity statistic. It was found that FST_MaxSNP had superior power to detect complete or mostly complete soft sweeps, but lesser power than full-window statistics to detect partial hard sweeps. Nonetheless, the power of FST_MaxSNP depended highly on sample size, and confident outliers depend on robust precautions and quality control. To investigate the relative enrichment of FST_MaxSNP outliers from real data, the two FST statistics were applied to a panel of Drosophila melanogaster populations. FST_MaxSNP had a genome-wide enrichment of outliers compared to demographic expectations, and though it yielded a lesser enrichment than window FST, it detected mostly unique outlier genes and functional categories. These results suggest that FST_MaxSNP is highly complementary to typical window-based approaches for detecting local adaptation, and merits inclusion in future genome scans and methodologies (da Silva Ribeiro, 2022).
In spatially structured populations, local adaptation improves organisms' fitness in their native environment. Hosts and pathogens can rapidly adapt to their local antagonist. Since males and females can differ in their immunocompetence, the patterns of local adaptation can be different between the sexes. However, there is little information about sex differences in local adaptation in host-pathogen systems. This study experimentally coevolved four different replicate populations of Drosophila melanogaster (host) and Pseudomonas entomophila (pathogen) along with appropriate controls. The four host-pathogen coevolution populations were used to investigate the occurrence of local adaptation separately in males and females of the coevolving hosts. Local adaptation was also assessed in pathogens. A reciprocal infection experiment was set up where each of the four coevolving hosts were infected with their local pathogen or non-local pathogens from the other three replicate populations. Overall, male and female hosts had better survivorship when infected with local pathogens, indicating that they were locally adapted. Interestingly, males were more susceptible to non-local pathogens compared to females. In addition, no fecundity cost was found in females infected with either local or non-local pathogens. No evidence was found of local adaptation among the pathogens. This study showed sex-specific adaptation in the coevolving hosts where female hosts had a broader response against allopatric coevolving pathogens with no cost in fecundity. Thus, these results might suggest a novel mechanism that can maintain variation in susceptibility in spatially structured populations (Ahlawat, 2022).
Seasonally polyphenic types have been documented in many Drosophilids, which differ significantly during thermal stress. Although Drosophila simulans is a sibling species to Drosophila melanogaster, both thrive in the temperate and tropical climates, but various climatic factors are expected to impact their distribution and abundance. As a result, D. simulans may use phenotypic plasticity to adapt to colder and drier circumstances in temperate zones, although such studies are less known. The main aim of this study was to find a link between adaptive plasticity and thermal tolerance in D. simulans. Two morphs in D. simulans flies were characterized based on the abdominal melanization collected from the same locality and season, as this trait is highly associated with the larval developmental conditions. The results suggested that flies reared from dark and light morph showed significant differences in the basal level of proline, carbohydrates (trehalose, glycogen), and lipids (cuticular lipids and total body lipids) within simulated seasons and morph lineages in D. simulans flies. It was further shown that D. simulans reared from dark morph are better adapted to cold conditions, whereas light flies are more adapted to warm conditions. The flies, both from light and dark morph lineages, when reared at 15 °C, showed an increase in the level of total body lipids after acclimation at 0 °C but a decrease in the level of proline and carbohydrates (trehalose, glycogen). Heat acclimation increases glycogen levels in the flies from light morph lineage while decreases trehalose and proline (Tamang, 2022).
Understanding the genetic properties of adaptive trait evolution is a fundamental crux of biological inquiry that links molecular processes to biological diversity. Important uncertainties persist regarding the genetic predictability of adaptive trait change, the role of standing variation, and whether adaptation tends to result in the fixation of favored variants. This study used the recurrent evolution of enhanced ethanol resistance in Drosophila melanogaster during this species' worldwide expansion as a promising system to add to understanding of the genetics of
adaptation. Elevated ethanol resistance was found to have evolved at least three times in different cooler regions of the species' modern range-not only at high latitude but also in two African high-altitude regions. Applying a bulk segregant mapping framework, this study found that the genetic architecture of ethanol resistance evolution differs substantially not only between the three resistant populations, but also between two crosses involving the same European population. Population genetic scans were applied for local adaptation within the quantitative trait locus regions, and potential contributions were found of genes with annotated roles in spindle localization, membrane composition, sterol and alcohol metabolism, and other processes. Simulation-based analyses were appleid that confirm the variable genetic basis of ethanol resistance and hint at a moderately polygenic architecture. However, these simulations indicate that larger-scale studies will be needed to more clearly quantify the genetic architecture of adaptive evolution and to firmly connect trait evolution to specific causative loci (Sprengelmeyer, 2021).
Local adapation can result in variation in seasonal responses, but the genetic basis and evolutionary history of this variation remains elusive. Many insects, including Drosophila melanogaster, are able to undergo an arrest of reproductive development (diapause) in response to unfavorable conditions. In D. melanogaster, the ability to diapause is more common in high latitude populations, where flies endure harsher winters, and in the spring, reflecting differential survivorship of overwintering populations. Using a novel hybrid swarm-based genome wide association study, this study examined the genetic basis and evolutionary history of ovarian diapause. Outbred females were exposed to different temperatures and day lengths, ovarian development was characterized for over 2800 flies, and their complete, phased genomes were reconstructed. Diapause, scored at two different developmental cutoffs, was found to be modest heritability, and hundreds of SNPs associated with each of the two phenotypes were identified. Alleles associated with one of the diapause phenotypes tend to be more common at higher latitudes, but these alleles do not show predictable seasonal variation. The collective signal of many small-effect, clinally varying SNPs can plausibly explain latitudinal variation in diapause seen in North America. Alleles associated with diapause are segregating in Zambia, suggesting that variation in diapause relies on ancestral polymorphisms, and both pro- and anti-diapause alleles have experienced selection in North America. Finally, outdoor mesocosms were used to track diapause under natural conditions. Hybrid swarms reared outdoors were found to evolve increased propensity for diapause in late fall, whereas indoor control populations experienced no such change. These results indicate that diapause is a complex, quantitative trait with different evolutionary patterns across time and space (Erickson, 2020).
The repeatability or predictability of evolution is a central question in evolutionary biology and most often addressed in experimental evolution studies. This study inferred how genetically heterogeneous natural systems acquire the same molecular changes to address how genomic background affects adaptation in natural populations. In particular, advantage was taken of independently formed neo-sex chromosomes in Drosophila species that have evolved dosage compensation by co-opting the dosage-compensation male-specific lethal (MSL) complex to study the mutational paths that have led to the acquisition of hundreds of novel binding sites for the MSL complex in different species. This complex recognizes a conserved 21-bp GA-rich sequence motif that is enriched on the X chromosome, and newly formed X chromosomes recruit the MSL complex by de novo acquisition of this binding motif. Recently formed sex chromosomes were identified in the D. melanica and D. robusta species groups by genome sequencing and generate genomic occupancy maps of the MSL complex to infer the location of novel binding sites. Diverse mutational paths were utilized in each species to evolve hundreds of de novo binding motifs along the neo-X, including expansions of microsatellites and transposable element (TE) insertions. However, the propensity to utilize a particular mutational path differs between independently formed X chromosomes and appears to be contingent on genomic properties of that species, such as simple repeat or TE density. This establishes the 'genomic environment' as an important determinant in predicting the outcome of evolutionary adaptations (Ellison, 2019).
This study took advantage of naturally occurring variation in sex chromosome karyotype in Drosophila species to study independent replicates of solving the same evolutionary challenge: to dosage compensate newly formed neo-X chromosomes by acquiring hundreds of MSL-binding sites in response to Y degeneration (Ellison, 2019).
The independent acquisition of dosage compensation in Drosophila allows several important questions in evolutionary biology and gene regulation to be addressed: first, how repeatable is evolution? Evolutionary biologists have long debated the predictability of the evolutionary process. At one extreme, evolution could be highly idiosyncratic and unpredictable, since the survival of the fittest could occur along a great number of forking paths. Alternatively, constraints on evolution may force independent lineages to frequently converge on the same genetic solutions for the same evolutionary challenge. Second, how do regulatory networks evolve? And what is the contribution of TEs to regulatory evolution? Evolutionary innovations and adaptations often require rapid and concerted changes in regulation of gene expression at many loci. TEs constitute the most dynamic part of eukaryotic genomes, and the dispersal of TEs that contain a regulatory element may allow for the same regulatory motif to be recruited at many genomic locations, thereby drawing multiple genes into the same regulatory network. Third, what makes a binding motif functional? The genomes of complex organisms encompass megabases of DNA, and regulatory molecules must distinguish specific targets within this vast landscape. Regulatory factors typically identify their targets through sequence-specific interactions with the underlying DNA, but they typically bind only a fraction of the candidate genomic regions containing their specific target sequence motif. An unresolved mystery in regulatory evolution is what drives the specificity of binding to a subset of genomic regions that all appear to have a sequence that matches the consensus binding motif (Ellison, 2019).
Several features make dosage compensation in Drosophila a promising system to tackle these questions. The genetic architecture for most adaptations -- especially those involving regulatory changes -- as well as the timing and exact selective forces driving them is generally little understood. In contrast, detailed knowledge is available of the molecular mechanism of dosage compensation in Drosophila. The cis- and trans-acting components of this regulatory network and the regulatory motif for targeting the MSL complex to the X are known. Clear expectations are available of which genomic regions should acquire dosage compensation and about the timing and the evolutionary forces that drive wiring of hundreds of genes into the dosage-compensation network on newly evolved X chromosomes. Specifically, Y degeneration is a general facet of sex chromosome evolution, creating selective pressures to up-regulate X-linked genes in males. Dosage compensation should thus only evolve on neo-X chromosomes whose neo-Y homologs have started to degenerate and should evolve simultaneously or shortly after substantial gene loss has occurred on the neo-Y. Indeed, comparative data in Drosophila support this model of dosage-compensation evolution. Drosophila species with partially eroded neo-Y chromosomes exist that have not yet evolved MSL-mediated dosage compensation, including D. busckii and D. albomicans, lending empirical support to the notion that dosage compensation evolves in response to Y degeneration and not the other way round. Thus, a refined understanding of how, when, why, and where dosage compensation in Drosophila evolves makes this an ideal model system to study the repeatability of evolution and the evolution of regulatory networks (Ellison, 2019).
Results from evolution experiments indicate that although evolution is not identical in replicate populations, there is an important degree of predictability. Experimentally evolved populations under controlled, identical conditions consistently show parallelism in which mutations in certain genes are repeatedly selected. However, organisms adapting to similar environments are not genetically identical, but their genome instead carries the legacy of their unique evolutionary trajectory, raising the question of how genomic differences affect genetic parallelism (Ellison, 2019).
Sex chromosome-autosome fusions have independently created neo-sex chromosomes in different Drosophila lineages. This provides everal independent replicates to study how, on the molecular level, evolution has solved the same adaptive challenge: acquiring hundreds of binding sites to recruit the MSL complex to newly formed X chromosomes. This allows quantification of how much variation there is, both within and between species, in the underlying mutational paths to acquire hundreds of MSL-binding sites on neo-X chromosomes and identify genomic contingencies that will influence the repeatability of evolutionary trajectories. Importantly, neo-sex chromosomes of Drosophila are evolutionarily young (between 0.1-15 MY old), which allows, in many cases, inferring of the causative mutations that have resulted in the gain of a regulatory element and decipher the evolutionary processes at work to draw hundreds of genes into a new regulatory network (Ellison, 2019).
The results suggest that the evolution of MSL-binding sites is highly opportunistic but contingent on genomic background. In particular, each independently evolved neo-X chromosome was found to use a diverse set of mutational pathways to acquire MSL-binding sites on a new neo-X chromosome, ranging from microsatellite expansions to the utilization of presites to TE insertions. However, different lineages differ with regards to the frequency of which mutational paths are most often followed to acquire novel binding sites, and this propensity may depend on the genomic background. In particular, species found with the higher density of simple repeats are more prone to utilize expansions in GA microsatellites to gain a novel MSL-binding site. In contrast, D. robusta has an elevated TE density compared to its sibling species, and it was found that the dispersal of a TE has played an important role in the acquisition of MSL-binding sites on its neo-X chromosome. Thus, this suggests that the genomic background of a species predisposes it to evolve along a particular path, yet the evolutionary process is random and resourceful with regards to utilizing a variety of mutations to create novel MSL-binding sites. However, different phenotypes show drastic differences in their underlying genetic architecture, and the importance of genomic background likely differs among traits and (Ellison, 2019).
Evolutionary innovations and adaptations often require rapid and concerted changes in regulation of gene expression at many loci. It has been suggested that TEs play a key role in rewiring regulatory networks, since the dispersal of TEs that contain a regulatory element may allow for the same regulatory motif to be recruited at many genomic locations. A handful of recent studies have implicated TEs as drivers of key evolutionary innovations, including placentation in mammals or rewiring the core regulatory network of human embryonic stem cells. While these studies demonstrate that TEs can, in principle, contribute to the creation or rewiring of regulatory networks, they do not address the question of how often regulatory elements evolve by TE insertions versus by other mutations. That is, the importance of TEs in contributing to regulatory evolution is not known. Quantification of the role of TEs would require a priori knowledge of how and when regulatory networks evolve and a detailed molecular understanding of which genes are being drawn into a regulatory network and how. As discussed above, these parameters are well understood for dosage compensation in flies (Ellison, 2019).
Previous work in D. miranda has shown that a helitron TE was recruited into the dosage-compensation network at two independent time points. The younger 1.5-MY-old neo-X chromosome of D. miranda is in the process of evolving dosage compensation, and dozens of new CESs on this chromosome were created by insertions of the ISX element. The domesticated ISX TE gained a novel MRE motif by a 10-bp deletion in the ISY element, which is a highly abundant TE in the D. miranda genome. The remnants of a related (but different) TE at CES was found on the older neo-X of this species (which formed roughly 13-15 MY ago), but the TE was too eroded to reconstruct its evolutionary history. This study, identified another domesticated TE that was utilized to deliver MSL-binding sites to a newly formed neo-X chromosome, but no significant TE contribution was found for MSL-binding site evolution in two independent neo-X chromosomes (Ellison, 2019).
The data shed light on the question of when TEs are expected to be important in regulatory evolution. For TEs to contribute to regulatory rewiring, two conditions have to be met: a regulatory element (or a progenitor sequence that can easily mutate into the required binding motif) needs to be present in the TE, and TE needs to be active in the genome (and not yet silenced by the host machinery). TEs undergo a characteristic life cycle in which they invade a new species (or escape the genome defense by mutation) and transpose until they are silenced by the host genome. Once a TE is robustly repressed, it no longer can serve as a vehicle to disperse regulatory elements, so the time window when a particular TE family can be domesticated is probably short and needs to coincide with a necessity to disperse regulatory motifs. A high TE burden does increase that chance, but at a cost: maintaining active TEs in the genome allows a rapid response to evolutionary challenges but also creates a major source of genomic mutation, illegitimate recombination, genomic rearrangements, and genome size inflation (Ellison, 2019).
The current findings support this view of a TE tradeoff. The ISY element in D. miranda is the most highly abundant transposon in the D. miranda genome and is massively contributing to the degeneration of the neo-Y in this specie. Indeed, the genomic analysis has revealed >20,000 novel insertions of the ISY element on the neo-Y, often within genes. Yet, it contained a sequence that was only one mutational step away from a functional MSL-binding site (that is, a single 10-bp deletion), and domestication of this element allowed for the rapid dispersal of functional binding sites for the MSL complex along the neo-X. The domestication of the TE in D. robusta occurred too long ago for to reconstruct its exact evolutionary history and the potential damage its mobilization may have caused while it was active. However, consistent with a tradeoff that the host genome faces, it was found that D. robusta has a higher TE density than its sister species and also a considerably larger genome size, yet a TE contributed to wiring hundreds of genes into the dosage-compensation network on its neo-X (Ellison, 2019).
Perhaps surprisingly, in many instances, it was not possible to detect specific mutations that would generate a novel MSL binding motif. Instead, it was found that functional MSL-binding sites are derived from presites containing the GA-rich motif that was already present in an ancestor in which the neo-X is autosomal and in which these sequences do not recruit the MSL complex. The MSL binding motif is only modestly enriched on the X chromosome compared to the autosomes (only approximately 2-fold), and only a small fraction of putative binding sites are actually bound by the MSL complex. The dosage-compensation machinery shares this characteristic with many other sequence-specific binding factors whose predicted target motifs are often in vast excess to the sites actually utilized. It has been speculated that other genomic aspects, such as chromatin context or the 3D organization of the genome, could help to distinguish between utilized and nonutilized copies of a motif. The finding that a large number of sites can acquire the ability to recruit the MSL complex, without any apparent associated changes at the DNA level, supports the view that epigenetic modifications or changes to the 3D architecture of the genome help to ultimately determine which putative binding sites in the genome are actually utilized. In D. melanogaster, the X chromosome has a unique satellite DNA composition, and it was suggested that these repeats play a primary role in determining X identity during dosage compensation. Furthermore, localization of the MSL complex to MREs is dependent on an additional cofactor, the CLAMP protein. CLAMP binds directly to GA-rich MRE sequences and targets MSL to the X chromosome but also binds to GA-rich sequence elements throughout the genome. Recent work has shown that variability in sequence composition within similar GA-rich motifs drive specificity for CLAMP binding, and variation within seemingly similar cis elements may also drive context-specific targeting of the MSL complex. Future investigations of changes in the chromatin level, the repeat content, and the genomic architecture of these newly formed sex chromosomes will help to resolve this outstanding question (Ellison, 2019).
The insulin/insulin-like growth factor signaling pathway has been hypothesized as a major determinant of life-history profiles that vary adaptively in natural populations. In Drosophila melanogaster, multiple components of this pathway vary predictably with latitude; this includes foxo, a conserved gene that regulates insulin signaling and has pleiotropic effects on a variety of fitness-associated traits. It was hypothesized that allelic variation at foxo contributes to genetic variance for size-related traits that vary adaptively with latitude. Patterns of variation were examined among natural populations along a latitudinal transect in the eastern United States; thorax length, wing area, wing loading, and starvation tolerance were found to exhibit significant latitudinal clines for both males and females but that development time does not vary predictably with latitude. Recombinant outbred populations were generated, naturally occurring allelic variation at foxo, which exhibits stronger clinality than expected, were shown to be associated with the same traits that vary with latitude in the natural populations. These results suggest that allelic variation at foxo contributes to adaptive patterns of life-history variation in natural populations of this genetic model (Betancourt, 2021).
The relationships between adaptive evolution, phenotypic plasticity, and canalization remain incompletely understood. Theoretical and empirical studies have made conflicting arguments on whether adaptive evolution may enhance or oppose the plastic response. Gene regulatory traits offer excellent potential to study the relationship between plasticity and adaptation, and they can now be studied at the transcriptomic level. This study took advantage of three closely-related pairs of natural populations of Drosophila melanogaster from contrasting thermal environments that reflect three separate instances of cold tolerance evolution. The transcriptome-wide plasticity in gene expression levels and alternative splicing (intron usage) were measured between warm and cold laboratory environments. Suspected adaptive changes in both gene expression and alternative splicing tended to neutralize the ancestral plastic response. Further, the hypothesis was tested that adaptive evolution can lead to decanalization of selected gene regulatory traits. Strong evidence was found that suspected adaptive gene expression (but not splicing) changes in cold-adapted populations are more vulnerable to the genetic perturbation of inbreeding than putatively neutral changes. Some evidence was found that these patterns may reflect a loss of genetic canalization accompanying adaptation, although other processes including hitchhiking recessive deleterious variants may contribute as well. These findings augment our understanding of genetic and environmental effects on gene regulation in the context of adaptive evolution (Huang, 2022).
To respond to changing environmental conditions, a population may either shift toward better-adapted genotypes or adapt on an individual level. The present work aimed to quantify the relevance of these two processes by comparing the responses of defined Drosophila melanogaster populations to different stressors. To do this, two homogeneous populations (isofemale lines), which differ significantly in fitness, and a synthetic heterogeneous population were infected with a specific pathogen and/or exposed to food restriction. Pectobacterium carotovorum was used to infect Drosophila larvae either fed standard or protein-restricted diet. In particular, the two homogeneous groups, which diverged in their fitness, showed considerable differences in all parameters assessed (survivorship, protein and lipid contents, Phenol oxidase (PO) activity, and antibacterial rate). Under fully nutritious conditions, larvae of the homogeneous population with low fitness exhibited lower survivorship and protein levels, as well as higher PO activity and antibacterial rate compared with the fitter population. A protein-restricted diet and bacterial infection provoked a decrease in survivorship, and antibacterial rate in most populations. Bacterial infection elicited an opposite response in protein and lipid content in both isofemale lines tested. Interestingly, the heterogeneous population showed a complex response pattern. The response of the heterogeneous population followed the fit genotype in terms of survival and antibacterial activity but followed the unfit genotype in terms of PO activity. In conclusion, these results show that defined genotypes exhibit highly divergent responses to varying stressors that are difficult to predict. Furthermore, the responses of heterogeneous populations do not follow a fixed pattern showing a very high degree of plasticity and differences between different genotypes (Meshrif, 2022).
Local adaptation, where fitness in one environment comes at a cost in another, should lead to spatial variation in trade-offs between life history traits and may be critical for population persistence. Recent studies have sought genomic signals of local adaptation, but often have been limited to laboratory populations representing two environmentally different locations of a species' distribution. This study measured gene expression, as a proxy for fitness, in males of Drosophila subobscura, occupying a 20 degrees latitudinal and 11 ° C thermal range. Uniquely, six populations were sampled, and both common garden and semi-natural responses to identify signals of local adaptation were identified. Contrasting patterns of investment were found: transcripts with expression positively correlated to latitude were enriched for metabolic processes, expressed across all tissues whereas negatively correlated transcripts were enriched for reproductive processes, expressed primarily in testes. When using only the end populations, to compare the results to previous studies, it was found that locally adaptive patterns were obscured. While phenotypic trade-offs between metabolic and reproductive functions across widespread species are well-known, the results identify underlying genetic and tissue responses at a continental scale that may be responsible for this. This may contribute to understanding population persistence under environmental change (Porcelli, 2016).
Little is known of how gene expression and its plasticity evolves as populations adapt to different environmental regimes. Expression is expected to evolve adaptively in all populations but only those populations experiencing environmental heterogeneity are expected to show adaptive evolution of plasticity. This study measured the transcriptome in a cadmium-enriched diet and a salt-enriched diet for experimental populations of Drosophila melanogaster that evolved for ~130 generations in one of four selective regimes: two constant regimes maintained in either cadmium or salt diets and two heterogeneous regimes that varied either temporally or spatially between the two diets. For populations evolving in constant regimes, a strong signature of counter-gradient evolution was found; the evolved expression differences between populations adapted to alternative diets is opposite to the plastic response of the ancestral population that is naive to both diets. Based on expression patterns in the ancestral populations, a set of genes was identified for which selection in heterogeneous regimes was predicted to result in increases in plasticity, and the expected pattern was found. In contrast, a set of genes where reduced plasticity was predicted did not follow expectation. Nonetheless, both gene sets showed a pattern consistent with adaptive expression evolution in heterogeneous regimes, highlighting the difference between observing 'optimal' plasticity and improvements in environment-specific expression. Looking across all genes, there is evidence in all regimes of differences in biased allele expression across environments ('allelic plasticity') and this is more common among genes with plasticity in total expression (Huang, 2016).
Species that exhibit broad ranges of distribution may successfully navigate environmental changes by modifying some of their life history traits. Environmental humidity imposes a critical stress that organisms may overcome by increasing their resistance to desiccation. This study used experimental evolution to investigate adaptation to desiccation in the tephritid Anastrepha ludens, a species with high fecundity, late maturation and long lifespan. This study measured morphological, physiological, developmental as well as demographic changes involved in the adaptation to desiccation. Notwithstanding a low heritability (h2 = 0.237), desiccation resistance evolved extremely rapidly and few negative trade-offs were detected. Selected flies exhibited correlated increases in longevity, body size, the amount of body lipids and bulk water content, and in the duration of the pupal stage. Females further delayed sexual maturation, decreased daily fecundity but retained high lifetime reproductive potential. No differences in male mating competitiveness were found. Selected and control lines differed in longevity but not in total female fecundity, demonstrating that A. ludens flies have the capability for fast adaptation to desiccation without loosing their reproductive capability. Thus, it seems that a rapid evolutionary response to desiccation in this polyphagous insect works as a buffer for environmental variation and reduces the strength of selection on reproductive traits (Tejeda, 2016).
Metabolic flexibility is an important component of adaptation to stressful environments, including thermal stress and latitudinal adaptation. The direct relationship between selection on thermal stress hardiness and metabolic flux has not previously been tested. This study investigated flexibility of nutrient catabolism during cold stress in Drosophila artificially selected for fast or slow recovery from chill coma (i.e. cold-hardy or -susceptible), specifically testing the hypothesis that stress adaptation increases metabolic turnover. Using 13C-labelled glucose, this study first showed that cold-hardy flies more rapidly incorporate ingested carbon into amino acids and newly synthesized glucose, permitting rapid synthesis of proline, a compound shown elsewhere to improve survival of cold stress. Second, using glucose and leucine tracers cold-hardy flies were shown to have higher oxidation rates than cold-susceptible flies before cold exposure, similar oxidation rates during cold exposure, and returned to higher oxidation rates during recovery. Additionally, cold-hardy flies transferred compounds among body pools more rapidly during cold exposure and recovery. Increased metabolic turnover may allow cold-adapted flies to better prepare for, resist and repair/tolerate cold damage. This work illustrates for the first time differences in nutrient fluxes associated with cold adaptation, suggesting that metabolic costs associated with cold hardiness could invoke resource-based trade-offs that shape life histories (Williams, 2016).
The effect of temperature on the evolution of metabolism has been the subject of debate for a century; however, no consistent patterns have emerged from comparisons of metabolic rate within and among species living at different temperatures. This study used experimental evolution to determine how metabolism evolves in populations of Drosophila melanogaster exposed to one of three selective treatments: a constant 16 ° C, a constant 25 ° C, or temporal fluctuations between 16 and 25 ° C. August Krogh's controversial hypothesis was tested that colder environments select for a faster metabolism. Given that colder environments also experience greater seasonality, the hypothesis was also tested that temporal variation in temperature may be the factor that selects for a faster metabolism. The metabolic rate of flies from each selective treatment was measured at 16, 20.5, and 25 ° C. Although metabolism was faster at higher temperatures, flies from the selective treatments had similar metabolic rates at each measurement temperature. Based on variation among genotypes within populations, heritable variation in metabolism was likely sufficient for adaptation to occur. It is concluded that colder or seasonal environments do not necessarily select for a faster metabolism. Rather, other factors besides temperature likely contribute to patterns of metabolic rate over thermal clines in nature (Alton, 2016).
Identifying mechanisms of adaptation to variable environments is essential in developing a comprehensive understanding of evolutionary
dynamics in natural populations. Phenotypic plasticity allows for
phenotypic change in response to changes in the environment, and as such
may play a major role in adaptation to environmental heterogeneity. This
study examined the plasticity of stress
response in D. melanogaster originating from two distinct
geographic regions and ecological habitats. Adults were given a
short-term, 5-day exposure to combinations of temperature and photoperiod
to elicit a plastic response for three fundamental aspects of stress
tolerance that vary adaptively with geography. This was replicated in both
the laboratory and in outdoor enclosures in the field. In the laboratory,
geographic origin was found to be the primary determinant of the stress
response. Temperature and the interaction between temperature and
photoperiod were also found to significantly affect stress resistance. In
the outdoor enclosures, plasticity was distinct among traits and between
geographic regions. These results demonstrate that short-term exposure of
adults to ecologically relevant environmental cues results in predictable
effects on multiple aspects of fitness. These patterns of plasticity vary
among traits and are highly distinct between the two examined geographic
regions, consistent with patterns of local adaptation to climate and
associated environmental parameters (Mathur, 2016).
Adaptation to environmental stress is critical for long-term species persistence. With climate change and other anthropogenic stressors compounding natural selective pressures, understanding the nature of adaptation is as important as ever in evolutionary biology. This study investigated this issue in a set of replicated Drosophila lines selected for increased desiccation resistance, a classical physiological trait that has been closely linked to Drosophila species distributions. Pooled whole-genome sequencing was used to compare the genetic basis of their selection responses. While selected SNPs in replicates of the same treatment (desiccation-selection or lab adaptation) tended to change frequency in the same direction, suggesting some commonality in the selection response, candidate SNP and gene lists often differed among replicates. Three of the five desiccation-selection replicates showed significant overlap at the gene and network level. All five replicates showed enrichment for ovary-expressed genes, suggesting maternal effects on the selected trait. Divergence between pairs of replicate lines for desiccation-candidate SNPs was greater than between pairs of control lines. This difference also far exceeded the divergence between pairs of replicate lines for neutral SNPs. Overall, while there was overlap in the direction of allele frequency changes and the network and functional categories affected by desiccation selection, replicates showed unique responses at all levels likely reflecting hitchhiking effects, and highlighting the challenges in identifying candidate genes from these types of experiments when traits are likely to be polygenic (Griffin, 2016).
A painful event establishes two opponent memories: cues that are associated with pain onset are remembered negatively, whereas cues that coincide with the relief at pain offset acquire positive valence. Such punishment- versus relief-memories are conserved across species, including humans, and the balance between them is critical for adaptive behaviour with respect to pain and trauma. In the fruit fly, Drosophila melanogaster as a study case, this study found that both punishment- and relief-memories display natural variation across wild-derived inbred strains, but they do not covary, suggesting a considerable level of dissociation in their genetic effectors. This provokes the question whether there may be heritable inter-individual differences in the balance between these opponent memories in man, with potential psycho-clinical implications (Appel, 2016).
Drosophila melanogaster is able to thrive in harsh northern climates through adaptations in life-history traits and physiological mechanisms that allow for survival through the winter. This examined the genetic basis of natural variation in one such trait, female virgin egg retention, which was previously shown to vary clinally and seasonally. To further understanding of the genetic basis and evolution of virgin egg retention, a genome-wide association study (GWAS) was performed using the previously sequenced Drosophila Genetic Reference Panel (DGRP) mapping population. Twenty-nine single nucleotide polymorphisms (SNPs) associated with virgin egg retention were found, and six available mutant lines, each harboring a mutation in a candidate gene, were examined for effects on egg retention time. Four out of the six mutant lines had defects in egg retention time as compared with the respective controls: mun, T48, Mes-4, and Klp67A Surprisingly, none of these genes has a recognized role in ovulation control, but three of the four genes have known effects on fertility or have high expression in the ovaries. The SNP set associated with egg retention time was enriched for clinal SNPs. The majority of clinal SNPs had alleles associated with longer egg retention present at higher frequencies in higher latitudes. These results support previous studies that show higher frequency of long retention times at higher latitude, providing evidence for the adaptive value of virgin egg-retention (Akhund-Zade, 2016).
Predicting how species will respond to the rapid climatic changes predicted this century is an urgent task. Species distribution models (SDMs) use the current relationship between environmental variation and species' abundances to predict the effect of future environmental change on their distributions. However, two common assumptions of SDMs are likely to be violated in many cases: (i) that the relationship of environment with abundance or fitness is constant throughout a species' range and will remain so in future and (ii) that abiotic factors (e.g. temperature, humidity) determine species' distributions. These assumptions were tested by relating field abundance of the rainforest fruit fly Drosophila birchii to ecological change across gradients that include its low and high altitudinal limits. Then, how such ecological variation affects the fitness of 35 D. birchii families transplanted in 591 cages to sites along two altitudinal gradients, was tested to determine whether genetic variation in fitness responses could facilitate future adaptation to environmental change. Overall, field abundance was highest at cooler, high-altitude sites, and declined towards warmer, low-altitude sites. By contrast, cage fitness (productivity) increased towards warmer, lower-altitude sites, suggesting that biotic interactions (absent from cages) drive ecological limits at warmer margins. In addition, the relationship between environmental variation and abundance varied significantly among gradients, indicating divergence in ecological niche across the species' range. However, there was no evidence for local adaptation within gradients, despite greater productivity of high-altitude than low-altitude populations when families were reared under laboratory conditions. Families also responded similarly to transplantation along gradients, providing no evidence for fitness trade-offs that would favour local adaptation. These findings highlight the importance of (i) measuring genetic variation in key traits under ecologically relevant conditions, and (ii) considering the effect of biotic interactions when predicting species' responses to environmental change (O'Brien, 2017)
What are the genomic foundations of adaptation in sexual populations? This question was addressed using fitness-character and whole-genome sequence data from 30 Drosophila laboratory populations. These 30 populations are part of a nearly forty-year laboratory radiation featuring three selection regimes, each shared by ten populations for up to 837 generations, with moderately large effective population sizes. Each of three sets of ten populations that shared a selection regime consist of five populations that have long been maintained under that selection regime, paired with five populations that had only recently been subjected to that selection regime. A high degree of evolutionary parallelism in fitness phenotypes was found when most-recent selection regimes are shared, as in previous studies from this laboratory. Genomic parallelism was also found with respect to the frequencies of single-nucleotide polymorphisms, transposable elements, insertions, and structural variants, which was expected. Entirely unexpected was a high degree of parallelism for linkage disequilibrium. The evolutionary genetic changes among these sexual populations are rapid and genomically extensive. This pattern may be due to segregating functional genetic variation that is abundantly maintained genome-wide by selection, variation that responds immediately to changes of selection regime (Graves, 2017).
Seasonal overwintering in insects represents an
adaptation to stressful environments and in European Drosophila melanogaster females, low temperatures and short photoperiods can induce an ovarian diapause. Diapause may represent a recent (<15Ky) adaptation to the colonisation of temperate Europe by D. melanogaster from tropical sub-Saharan Africa, because African D. melanogaster and the sibling species D. simulans, have been reported to fail to undergo diapause. Over the past few centuries, D. melanogaster have also invaded North America and Australia, and eastern populations on both continents show a predictable latitudinal cline in diapause induction. In Europe however, a new diapause-enhancing timeless allele, ls-tim, is observed at high levels in southern Italy ( approximately 80%), where it appears to have arisen and has spread throughout the continent with a frequency of approximately 20% in Scandinavia. Given the phenotype of ls-tim and its geographical distribution, it was predicted that it would work against any latitudinal cline in diapause induction within Europe. Indeed this study revealed that any latitudinal cline for diapause in Europe is very weak, as predicted by ls-tim frequencies. In contrast, ls-tim frequencies were determined in North America and it was observed that they would be expected to strengthen the latitudinal pattern of diapause. The results reveal how a newly arisen mutation, can, via the stochastic nature of where it initially arose, blur an otherwise adaptive geographical pattern (Pegoraro, 2017)
Organisms are believed to have evolved circadian clocks as adaptations to deal with cyclic environmental changes, and therefore it has been hypothesized that evolution in constant environments would lead to regression of such clocks. This study examined whether circadian clocks and the associated properties evolve differently under constant light and constant darkness. Activity-rest, adult emergence and oviposition rhythms were measured of D. melanogaster populations that have been maintained for over 19 years (~330 generations) under three different light regimes - constant light (LL), light-dark cycles of 12:12 h (LD) and constant darkness (DD). While circadian rhythms in all the three behaviors persist in both LL and DD stocks with no differences in circadian period, they differed in certain aspects of the entrained rhythms when compared to controls reared in rhythmic environment (LD). Interestingly, it was also observed that DD stocks have evolved significantly higher robustness or power of free-running activity-rest and adult emergence rhythms compared to LL stocks. Thus, this study, in addition to corroborating previous results of circadian clock evolution in constant light, also highlights that, contrary to the expected regression of circadian clocks, rearing in constant darkness leads to the evolution of more robust circadian clocks which may be attributed to an intrinsic adaptive advantage of circadian clocks and/or pleiotropic functions of clock genes in other traits (Shindey, 2017).
During colonization of new areas, natural populations have to deal with changing environments, and transposable elements (TEs) can be useful "tools" in the
adaptation process since they are major contributor to the structural and functional evolution of genomes. In this general context, the activity (copy number, transcriptional and excision rate) of the mariner mos1 element was estimated in 19 natural populations of D. simulans. It is shown (1) that mos1 expression is always higher and more variable in testes than in ovaries; (2) that mos1 activity is higher in colonizing populations compared to the sub-Saharan African ones (ancestral populations); (3) that mos1 variations in transcript levels and copy number are negatively correlated to transcriptional variations of piRNA genes, aubergine and argonaute3. Furthermore, mos1 levels of expression in testes highly contrast with the low expression patterns of ago3. These results strongly suggest that the expression polymorphism of piRNA genes could be responsible for the mos1 variations, first between male and female germlines and second, according to the status of natural populations (colonizing or not). These results provide new perspectives about TEs and piRNA genes co-evolution in Drosophila germlines (Saint-Leandre, 2017).
The Hawaiian Drosophila are one of the most species-rich endemic groups in Hawaii and a spectacular example of adaptive radiation. Drosophila silvestris and D. heteroneura are two closely related picture-winged Drosophila species that occur sympatrically on Hawaii Island and are known to hybridize in nature, yet exhibit highly divergent behavioral and morphological traits driven largely through sexual selection. Their closest-related allopatric species, D. planitibia from Maui, exhibits hybrid male sterility and reduced behavioral reproductive isolation when crossed experimentally with D. silvestris or D. heteroneura. A modified four-taxon test for gene flow was applied to recently obtained genomes of the three Hawaiian Drosophila species. The analysis indicates recent gene flow in sympatry, but also, although less extensive, between allopatric species. This study underscores the prevalence of gene flow, even in taxonomic groups considered classic examples of allopatric speciation on islands. The potential confounding effects of gene flow in phylogenetic and population genetics inference are discussed, as well as the implications for conservation (Kang, 2017).
Identifying the genetic basis for adaptive differences between species requires explicit tests of historical hypotheses concerning the effects of past changes in gene sequence on molecular function, organismal phenotype and fitness. This challenge was addressed by combining ancestral protein reconstruction with biochemical experiments and physiological analysis of transgenic animals that carry ancestral genes. A widely held hypothesis of molecular adaptation was tested in this study-that changes in the alcohol dehydrogenase protein (ADH) along the lineage leading to Drosophila melanogaster increased the catalytic activity of the enzyme and thereby contributed to the ethanol tolerance and adaptation of the species to its ethanol-rich ecological niche. These experiments strongly refute the predictions of the adaptive ADH hypothesis and caution against accepting intuitively appealing accounts of historical molecular adaptation that are based on correlative evidence. The experimental strategy employed can be used to decisively test other adaptive hypotheses and the claims they entail about past biological causality (Siddiq, 2017).
Gene expression levels are important quantitative traits that link genotypes to molecular functions and fitness. In Drosophila, population-genetic studies have revealed substantial adaptive evolution at the genomic level, but the evolutionary modes of gene expression remain controversial. This study presents evidence that adaptation dominates the evolution of gene expression levels in flies. 64% of the observed expression divergence across seven Drosophila species are adaptive changes driven by directional selection. The results are derived from time-resolved data of gene expression divergence across a family of related species, using a probabilistic inference method for gene-specific selection. Adaptive gene expression is stronger in specific functional classes, including regulation, sensory perception, sexual behavior, and morphology. Moreover, a large group of genes was identifed with sex-specific adaptation of expression, which predominantly occurs in males. This analysis opens an avenue to map system-wide selection on molecular quantitative traits independently of their genetic basis (Nourmohammad, 2017).
Gene expression levels are important quantitative traits that link genotypes to molecular functions and fitness. In Drosophila, population-genetic studies have revealed substantial adaptive evolution at the genomic level, but the evolutionary modes of gene expression remain controversial. This study presents evidence that adaptation dominates the evolution of gene expression levels in flies. 64% of the observed expression divergence across seven Drosophila species are adaptive changes driven by directional selection. The results are derived from time-resolved data of gene expression divergence across a family of related species, using a probabilistic inference method for gene-specific selection. Adaptive gene expression is stronger in specific functional classes, including regulation, sensory perception, sexual behavior, and morphology. Moreover, a large group of genes was identified with sex-specific adaptation of expression, which predominantly occurs in males. This analysis opens an avenue to map system-wide selection on molecular quantitative traits independently of their genetic basis (Nourmohammad, 2017).
The inference of adaptation exploits the complex dependence of the expression divergence on the evolutionary distance between species. It reflects two fundamental evolutionary features of quantitative traits. First, such traits generate a divergence pattern with two distinct molecular clocks: at a short evolutionary distance, the divergence is always near the expected value under neutrality; at a longer distance, it depends jointly on stabilizing and directional selection. This feature reconciles seemingly contradictory results of previous studies: analysis of closely related species produces a signal of neutral evolution, whereas evolutionary constraint becomes apparent for more distant species. Second, the phenotypic evolution of gene expression decouples from details of its genetic basis. This explains why overall strong selection on gene expression levels was found even though selection on individual QTLs is often weak. The probabilistic extension of the curren inference scheme, which is based on gene-specific expression divergence, identifies functional gene classes associated with adaptive evolution of regulation (Nourmohammad, 2017).
The selection model underlying this analysis is a single-peak fitness seascape, which contains components of stabilizing and directional selection on a quantitative trait. These components are well-established notions of quantitative genetics on micro-evolutionary timescales. Each of them can provide a snapshot of the predominant selection pressure in a population. However, the description of selection remains incomplete as a description of selection over macro-evolutionary periods. If selection on a trait is directional at a given evolutionary time, will that selection relax after the trait value has significantly adapted in the direction of selection? If selection is stabilizing, can it be assumed that the optimal trait value will remain invariant in the context of a different species? To address these questions, a conceptual and quantitative synthesis of stabilizing and directional selection is need. The single-peak seascape model arguably provides the simplest such synthesis. It also provides a simple picture of continual adaptation over macro-evolutionary periods: a species follows a moving fitness peak, and this process generates positive fitness flux but no net increase in fitness (Nourmohammad, 2017).
This method of selection inference can be applied to a spectrum of molecular quantitative traits with a complex genetic basis, provided that comparative data from multiple, sufficiently diverged species are available. Such traits include genome-wide protein levels, protein-DNA binding interactions, and enzymatic activities. For most of these traits, only partial knowledge is available of the underlying genetic loci and their effects on trait and fitness. This method complements QTL studies and opens a way to infer quantitative phenotype-fitness maps at the systems level (Nourmohammad, 2017).
Determining the mechanisms by which a species adapts to its environment is a key endeavor in the study of evolution. In particular, relatively little is known about how transcriptional processes are fine-tuned to adjust to different environmental conditions. Here we study Drosophila melanogaster from 'Evolution Canyon' in Israel, which consists of two opposing slopes with divergent microclimates. Several hundred differentially expressed genes and dozens of differentially edited sites were identified between flies from each slope; these changes were correlate with genetic differences, and CRISPR mutagenesis was used to validate that an intronic SNP in prominin regulates its editing levels. It was also demonstrated that while temperature affects editing levels at more sites than genetic differences, genetically regulated sites tend to be less affected by temperature. This work shows the extent to which gene expression and RNA editing differ between flies from different microclimates, and provides insights into the regulation responsible for these differences (Yablonovitch, 2017).
The genomes of species that are ecological specialists will likely contain signatures of genomic adaptation to their niche. This study describes the genome of Drosophila montana, which is the most extremely cold-adapted Drosophila species. Branch tests were used to identify genes showing accelerated divergence in contrasts between cold- and warm adapted species, and about 250 genes were identified that show differences, possibly driven by a lower synonymous substitution rate in cold-adapted species. Evidence was sought of accelerated divergence between D. montana and D. virilis, a previously sequenced relative, and no strong evidence was found for divergent selection on coding sequence variation. Divergent genes are involved in a variety of functions, including cuticular and olfactory processes. Three populations of D. montana were resequenced from its ecological and geographic range. Outlier loci were more likely to be found on the X chromosome and there was a greater than expected overlap between population outliers and those genes implicated in cold adaptation between Drosophila species, implying some continuity of selective process at these different evolutionary scales (Parker, 2018).
Studies combining experimental evolution and next-generation sequencing have found that adaptation in sexually reproducing populations is primarily fueled by standing genetic variation. Consequently, the response to selection is rapid and highly repeatable across replicate populations. Some studies suggest that the response to selection is highly repeatable at both the phenotypic and genomic levels, and that evolutionary history has little impact. Other studies suggest that even when the response to selection is repeatable phenotypically, evolutionary history can have significant impacts at the genomic level. This study tests two hypotheses that may explain this discrepancy. Hypothesis 1: Past intense selection reduces evolutionary repeatability at the genomic and phenotypic levels when conditions change. Hypothesis 2: Previous intense selection does not reduce evolutionary repeatability, but other evolutionary mechanisms may. These hypotheses were tested using D. melanogaster populations that were subjected to 260 generations of intense selection for desiccation resistance and have since been under relaxed selection for the past 230 generations. It was found that, with the exception of longevity and to a lesser extent fecundity, 230 generations of relaxed selection has erased the extreme phenotypic differentiation previously found. No signs were found of genetic fixation, and only limited evidence of genetic differentiation between previously desiccation resistance selected populations and their controls. These findings suggest that evolution in this system is highly repeatable even when populations have been previously subjected to bouts of extreme selection. It is therefore concluded that evolutionary repeatability can overcome past bouts of extreme selection in Drosophila experimental evolution, provided experiments are sufficiently long and populations are not inbred (Phillips, 2018).
Adaptation to new hosts in phytophagous insects often involves mechanisms of host recognition by genes of sensory pathways. Most often the molecular evolution of sensory genes has been explained in the context of the birth-and-death model. The role of positive selection is less understood, especially associated with host adaptation and specialization. This study aimed to contribute evidence for this latter hypothesis by considering the case of Drosophila mojavensis, a species with an evolutionary history shaped by multiple host shifts in a relatively short time scale, and its generalist sister species, D. arizonae. A phylogenetic and population genetic analysis framework was used to test for positive selection in a subset of four chemoreceptor genes, one gustatory receptor (Gr) and three odorant receptors (Or), for which their expression has been previously associated with host shifts. Strong evidence was found of positive selection at several amino acid sites in all genes investigated, most of which exhibited changes predicted to cause functional effects in these transmembrane proteins. A significant portion of the sites identified as evolving positively were largely found in the cytoplasmic region, although a few were also present in the extracellular domains. The pattern of substitution observed suggests that some of these changes likely had an effect on signal transduction as well as odorant recognition and protein-protein interactions. These findings support the role of positive selection in shaping the pattern of variation at chemosensory receptors, both during the specialization onto one or a few related hosts, but as well as during the evolution and adaptation of generalist species into utilizing several hosts (Dizz, 2018).
Ecological diversification of the endemic Hawaiian Drosophilidae has been accompanied by striking divergence in egg morphology, and ovarian structure and function. To determine how these flies successfully oviposit in a variety of breeding substrates, Scanning Electron Microscopy was used to examine the ultrastructure of the ovipositor of a sample of 65 Drosophila species and five Scaptomyza species of this hyperdiverse monophyletic group. The Drosophila species analyzed included representatives of the fungus-breeding haleakalae group, the leaf-breeding antopocerus and modified tarsus groups, the modified mouthparts species group, the nudidrosophila, and the picture wing clade; the latter sample of 41 species from four species groups included stem- and bark-breeders, as well as tree sap flux-breeders. Ovipositor length was found to vary more than 12-fold among Hawaiian drosophilids, with the longest ovipositors observed in the bark-breeding species and the shortest among the Scaptomyza and fungus-breeders. More noteworthy is the striking variation in overall shape and proportions of the ovipositor, in the shape of the apical region, and in the pattern of sensory structures or ovisensilla. Ultrastructural observations of the pair of long subapical sensilla on the ventral side identify these as taste bristles. Ovipositor form correlates strongly with the oviposition substrate used by the species, being of a distinctive shape and size in each case. It is inferred that the observed morphological divergence in the ovipositor is adaptive and the product of natural selection for successful reproduction in alternate microhabitats (Craddock, 2018).
Insights into the genetic capacities of species to adapt to future climate change can be gained by using comparative genomic and transcriptomic data to reconstruct the genetic changes associated with such adaptations in the past. This study investigated the genetic changes associated with
adaptation to arid environments, specifically climatic extremes and new cactus hosts, through such an analysis of five repleta group Drosophila species. Disproportionately high rates of gene gains were found in internal branches in the species' phylogeny where cactus use and subsequently cactus specialisation and high heat and desiccation tolerance evolved. The terminal branch leading to the most heat and desiccation resistant species, Drosophila aldrichi, also shows disproportionately high rates of both gene gains and positive selection. Several Gene Ontology terms related to metabolism were enriched in gene gain events in lineages where cactus use was evolving, while some regulatory and developmental genes were strongly selected in the Drosophila aldrichi branch. Transcriptomic analysis of flies subjected to sublethal heat shocks showed many more downregulation responses to the stress in a heat sensitive versus heat resistant species, confirming the existence of widespread regulatory as well as structural changes in the species' differing adaptations. Gene Ontology terms related to metabolism were enriched in the differentially expressed genes in the resistant species while terms related to stress response were over-represented in the sensitive one. It is concluded that daptations to new cactus hosts and hot desiccating environments were associated with periods of accelerated evolutionary change in diverse biochemistries. The hundreds of genes involved suggest adaptations of this sort would be difficult to achieve in the timeframes projected for anthropogenic climate change (Rane, 2019).
Phenotypic plasticity can allow organisms to respond to environmental changes by producing better matching phenotypes without any genetic change. Because of this, plasticity is predicted to be a major mechanism by which a population can survive the initial stage of colonizing a novel environment. This prediction was tested by challenging wild Drosophila melanogaster with increasingly extreme larval environments and then examining expression of alcohol dehydrogenase (ADH) and its relationship to larval survival in the first generation of encountering a novel environment. Most families responded in the adaptive direction of increased ADH activity in higher alcohol environments and families with higher plasticity were also more likely to survive in the highest alcohol environment. Thus, plasticity of ADH activity was positively selected in the most extreme environment and was a key trait influencing fitness. Furthermore, there was significant heritability of ADH plasticity that can allow plasticity to evolve in subsequent generations after initial colonization. The adaptive value of plasticity, however, was only evident in the most extreme environment and had little impact on fitness in less extreme environments. The results provide one of the first direct tests of the adaptive role of phenotypic plasticity in colonizing a novel environment (Wang, 2019).
The genetic architecture of adaptive traits is of key importance to predict evolutionary responses. Most adaptive traits are polygenic-i.e., result from selection on a large number of genetic loci-but most molecularly characterized traits have a simple genetic basis. This discrepancy is best explained by the difficulty in detecting small allele frequency changes (AFCs) across many contributing loci. To resolve this, laboratory natural selection was used to detect signatures for selective sweeps and polygenic adaptation. This study exposed 10 replicates of a Drosophila simulans population to a new temperature regime and uncovered a polygenic architecture of an adaptive trait with high genetic redundancy among beneficial alleles. Convergent responses were observed for several phenotypes-e.g., fitness, metabolic rate, and fat content-and a strong polygenic response (99 selected alleles; mean s = 0.059). However, each of these selected alleles increased in frequency only in a subset of the evolving replicates. Different evolutionary paradigms were discerned based on the heterogeneous genomic patterns among replicates. Redundancy and quantitative trait (QT) paradigms fitted the experimental data better than simulations assuming independent selective sweeps. These results show that natural D. simulans populations harbor a vast reservoir of adaptive variation facilitating rapid evolutionary responses using multiple alternative genetic pathways converging at a new phenotypic optimum. This key property of beneficial alleles requires the modification of testing strategies in natural populations beyond the search for convergence on the molecular level (Barghi, 2019).
The cohabitation of Drosophila melanogaster with humans is nearly ubiquitous. Though it has been well-established that this fly species originated in sub-Saharan Africa, and only recently has spread globally, many details of its swift expansion remain unclear. Elucidating the demographic history of D. melanogaster provides a unique opportunity to investigate how human movement might have impacted patterns of genetic diversity in a commensal species, as well as providing neutral null models for studies aimed at identifying genomic signatures of local adaptation. This study used whole-genome data from five populations (Africa, North America, Europe, Central Asia, and the South Pacific) to carry out demographic inferences, with particular attention to the inclusion of migration and admixture. The importance of these parameters for model fitting is demonstrated, and how previous estimates of divergence times are likely to be significantly underestimated as a result of not including them is shown. Finally, how human movement along early shipping routes might have shaped the present-day population structure of D. melanogaster is discussed (Arguello, 2019).
Gene expression profiling is one of the most reliable high-throughput phenotyping methods, allowing researchers to quantify the transcript abundance of expressed genes. Because many biotic and abiotic factors influence gene expression, it is recommended to control them as tightly as possible. This study shows that a 24 h age difference of Drosophila simulans females that were subjected to RNA sequencing (RNA-Seq) five and six days after eclosure resulted in more than 2000 differentially expressed genes. This is twice the number of genes that changed expression during 100 generations of evolution in a novel hot laboratory environment. Importantly, most of the genes differing in expression due to age introduce false positives or negatives if an adaptive gene expression analysis is not controlled for age. These results indicate that tightly controlled experimental conditions, including precise developmental staging, are needed for reliable gene expression analyses, in particular in an evolutionary framework (Hsu, 2019).
Admixture, the mixing of genetically distinct populations, is increasingly recognized as a fundamental biological process. One major goal of admixture analyses is to estimate the timing of admixture events. Whereas most methods today can only detect the most recent admixture event, this study presents coalescent theory and associated software that can be used to estimate the timing of multiple admixture events in an admixed population. This approach was extensively validated and the conditions under which it can successfully distinguish one from two-pulse admixture models was validated. This approach was applied to real and simulated data of Drosophila melanogaster. Evidence was found of a single very recent pulse of cosmopolitan ancestry contributing to African populations as well as evidence for more ancient admixture among genetically differentiated populations in sub-Saharan Africa. These results suggest this method can quantify complex admixture histories involving genetic material introduced by multiple discrete admixture pulses. The new method facilitates the exploration of admixture and its contribution to adaptation, ecological divergence, and speciation (Medina, 2018).
Drosophila suzukii differs from other melanogaster group members in their proclivity for laying eggs in fresh fruit rather than in fermenting fruits. Earlier work has revealed how the olfactory landscape of D. suzukii is dominated by volatiles derived from its unique niche. This study annotated the Olfactory receptors and Gustatory Receptors in D. suzukii and two close relatives, D. biarmipes and D. takahashii, to identify candidate chemoreceptors associated with D. suzukii's unusual niche utilization. A total of 71 Or genes were annotated in D. suzukii, with nine of those being pseudogenes (12.7 %). Alternative splicing of two genes brings the total to 62 genes encoding 66 Ors. Duplications of Or23a and Or67a expanded D. suzukii's Or repertoire, while pseudogenization of Or74a, Or85a, and Or98b reduced the number of functional Ors to roughly the same as other annotated species in the melanogaster group. Seventy-one intact Gr genes and three pseudogenes were annotated in D. suzukii. Alternative splicing in three genes brings the total number of Grs to 81. Signatures of positive selection were identified in two Ors and three Grs at nodes leading to D. suzukii, while three copies in the largest expanded Or lineage, Or67a, also showed signs of positive selection at the external nodes. This analysis of D. suzukii's chemoreceptor repertoires in the context of nine melanogaster group drosophilids, including two of its closest relatives (D. biarmipes and D. takahashii), revealed several candidate receptors associated with the adaptation of D. suzukii to its unique ecological niche (Hickner, 2016).
Many Drosophila species differ widely in their distributions and climate niches, making them excellent subjects for evolutionary genomic studies. A database was developed of high-quality assemblies for 46 Drosophila species and one closely related Zaprionus. Fifteen of the genomes were newly sequenced, and 20 were improved with additional sequencing. New or improved annotations were generated for all 47 species, assisted by new transcriptomes for 19. Phylogenomic analyses of these data resolved several previously ambiguous relationships, especially in the melanogaster species group. However, it also revealed significant phylogenetic incongruence among genes, mainly in the form of incomplete lineage sorting in the subgenus Sophophora but also including asymmetric introgression in the subgenus Drosophila. Using the phylogeny as a framework and taking into account these incongruences, the data was screened for genome-wide signals of adaptation to different climatic niches. First, phylostratigraphy revealed relatively high rates of recent novel gene gain in three temperate pseudoobscura and five desert-adapted cactophilic mulleri subgroup species. Second, it was found differing ratios of nonsynonymous to synonymous substitutions in several hundred orthologues between climate generalists and specialists, with trends for significantly higher ratios for those in tropical and lower ratios for those in temperate-continental specialists respectively than those in the climate generalists. Finally, resequencing natural populations of 13 species revealed tropics-restricted species generally had smaller population sizes, lower genome diversity and more deleterious mutations than the more widespread species. It is concluded that adaptation to different climates in the genus Drosophila has been associated with large-scale and multifaceted genomic changes (Li, 2022).
In the history of population genetics balancing selection has been considered as an important evolutionary force, yet until today little is known about its abundance and its effect on patterns of genetic diversity. Several well-known examples of balancing selection have been reported from humans, mice, plants, and parasites. However, only very few systematic studies have been carried out to detect genes under balancing selection. This study carried out a genome scan in Drosophila melanogaster to find signatures of balancing selection in a derived (European) and an ancestral (African) population. A total of 34 genomes were scanned, searching for regions of high genetic diversity and an excess of SNPs with intermediate frequency. In total, 183 candidate genes were found: 141 in the European population and 45 in the African one, with only three genes shared between both populations. Most differences between both populations were observed on the X chromosome, though this might be partly due to false positives. Functionally, an overrepresentation of genes involved in neuronal development and circadian rhythm were found. Furthermore, some of the top genes identified are involved in innate immunity. These results revealed evidence of genes under balancing selection in European and African populations. More candidate genes have been found in the European population. They are involved in several different functions (Croze, 2017).
Evolutionary theory predicts that antagonistically selected alleles, such as those with divergent pleiotropic effects in early and late life, may often reach intermediate population frequencies due to balancing selection, an elusive process when sought out empirically. Alternatively, genetic diversity may increase as a result of positive frequency-dependent selection and genetic purging in bottlenecked populations. While experimental evolution systems with directional phenotypic selection typically result in at least local heterozygosity loss, this study reports that selection for increased lifespan in Drosophila melanogaster leads to an extensive genome-wide increase of nucleotide diversity in the selected lines compared to replicate control lines, pronounced in regions with no or low recombination, such as chromosome 4 and centromere neighborhoods. These changes, particularly in coding sequences, are most consistent with the operation of balancing selection and the antagonistic pleiotropy theory of aging and life history traits that tend to be intercorrelated. Genes involved in antioxidant defenses, along with multiple lncRNAs, were among those most affected by balancing selection. Despite the overwhelming genetic diversification and the paucity of selective sweep regions, two genes with functions important for central nervous system and memory, Ptp10D and Ank2, evolved under positive selection in the longevity lines. Overall, the 'evolve-and-resequence' experimental approach proves successful in providing unique insights into the complex evolutionary dynamics of genomic regions responsible for longevity (Michalak, 2017).
Genes involved in immune defense against pathogens provide some of the most well-known examples of both directional and balancing selection. Antimicrobial peptides (AMPs) are innate immune effector genes, playing a key role in pathogen clearance in many species, including Drosophila. Conflicting lines of evidence have suggested AMPs may be under directional, balancing or purifying selection. This study used both a linear model and control gene-based approach to show that balancing selection is an important force shaping AMP diversity in Drosophila. In D. melanogaster, this is most clearly observed in ancestral African populations. Furthermore, the signature of balancing selection is even more striking once background selection has been accounted for. Balancing selection also acts on AMPs in D. mauritiana, an isolated island endemic separated from D. melanogaster by about 4 million years of evolution. This suggests that balancing selection may be broadly acting to maintain adaptive diversity in Drosophila AMPs, as has been found in other taxa (Chapman, 2019).
The gene family of insect olfactory receptors (ORs) has expanded greatly over the course of evolution. ORs enable insects to detect volatile chemicals and therefore play an important role in social interactions, enemy and prey recognition, and foraging. The sequences of several thousand ORs are known, but their specific function or their ligands have only been identified for very few of them. To advance the functional characterization of ORs, this study has assembled, curated, and aligned the sequences of 3902 ORs from 21 insect species, which is provided as an annotated online resource. Using functionally characterized proteins from the fly Drosophila melanogaster, the mosquito Anopheles gambiae and the ant Harpegnathos saltator, amino acid positions were identified that best predict response to ligands. The conservation of these predicted relevant residues was examined in all OR subfamilies; the results showed that the subfamilies that expanded strongly in social insects had a high degree of conservation in their binding sites. This suggests that the ORs of social insect families are typically finely tuned and exhibit sensitivity to very similar odorants. The novel approach of this study provides a powerful tool to exploit functional information from a limited number of genes to study the functional evolution of large gene families (Mier, 2022).
Convergent evolution provides a type of natural replication that can be exploited to understand the roles of contingency and constraint in the evolution of phenotypes and the gene networks that control their development. For sex-specific traits, convergence offers the additional opportunity for testing whether the same gene networks follow different evolutionary trends in males versus females. Thus study used an unbiased, systematic mapping approach to compare the genetic basis of evolutionary changes in male-limited pigmentation in several pairs of Drosophila species that represent independent evolutionary transitions. A strong evidence for repeated recruitment of the same genes to specify similar pigmentation in different species was found. At one of these genes, ebony, convergent evolution of sexually dimorphic and monomorphic expression through cis-regulatory changes was observed. However, this functional convergence has a different molecular basis in different species, reflecting both parallel fixation of ancestral alleles and independent origin of distinct mutations with similar functional consequences. These results show that a strong evolutionary constraint at the gene level is compatible with a dominant role of chance at the molecular level (Signor, 2016). Recent studies have led to an emerging consensus that convergent phenotypes often reflect evolutionary changes in the same genes (the 'evolutionary hotspot' model). However, most case studies supporting the hotspot model relied heavily on candidate gene approaches, which results in a positive ascertainment bias and some difficulty in interpreting the results. Although genetic mapping is more laborious than candidate gene analysis, it offers several key advantages: it is unbiased in that the loci implicated in other species are no more likely to be discovered than any other genes, it produces direct evidence of a gene's causative role in trait evolution (and, equally importantly, allows other genes to be ruled out), and it provides a quantitative estimate of the relative importance of each gene to the overall genetic architecture of a phenotype. This study applied this approach to the ananassae species subgroup, in which multiple species have independently evolved similar male-specific color patterns. The convergent phenotypes were found ti be controlled by overlapping, but not identical, sets of genes in different evolutionary contrasts. The only gene that was implicated in all three high-resolution mapping crosses and could not be ruled out in the fourth, low-resolution cross (D. m. malerkotliana/D. bipectinata) was ebony. Moreover, ebony is the strongest QTL in all contrasts, contributing 35% to 80% of overall divergence. ebony has previously been implicated in both intraspecific and interspecific differences in pigmentation in several other Drosophila species. Clearly, ebony fits the definition of an evolutionary hotspot. ebony encodes an enzyme, β-alanyl-dopamine synthase, that synthesizes light pigment precursors so that higher ebony expression causes lighter pigmentation. Like other pigmentation genes, it has additional roles in other tissues, such as control of circadian locomotor activity in brain glial cells. Every time ebony has been implicated in the evolution of pigmentation, cis-regulatory rather than coding mutations were involved. Presumably, this pattern reflects the ability of cis-regulatory mutations to overcome pleiotropic constraints by uncoupling gene functions in different cell types (Signor, 2016).
Repeated involvement of the same gene in multiple phenotypic transitions could potentially result from different evolutionary processes: recurrent de novo mutation, lineage sorting of ancestral variation, or interspecific introgression. Adaptation from standing variation is likely to be faster than awaiting a new mutation because potentially beneficial alleles are available immediately and are likely to be present at higher frequencies than alleles arising de novo. Cases of parallel fixation appear to be fairly common, most notably when a reservoir of newly adaptive alleles is available to colonizing populations. Similarly, introgressive hybridization has been implicated, among other traits, in the evolution of wing color patterns in Heliconius butterflies and high-altitude adaptation in humans. Genome-wide analyses suggest that interspecific introgression may play a more important role in evolution than previously thought. This study found that in D. malerkotliana, D. bipectinata, and D. parabipectinata, at least some of the putative causative SNPs at the ebony locus are shared across species, most likely reflecting ancestral lineage sorting. However, these variants are not found either in D. pseudoananassae or in the ercepeae species complex, suggesting a role for independent ebony mutations in these taxa. The region of the ebony locus associated with the evolution of color patterns in the bipectinata complex evolves so rapidly that it cannot be aligned with other taxa. Outside of the ananassae subgroup, evolutionary changes in ebony expression that lead to divergent pigmentation map to a different, more upstream region of the gene; population-genetic analysis rules out this region in the bipectinata complex. It can be concluded that the widely convergent involvement of ebony in the evolution of color patterns is not due solely to fixation of pre-existing variation, but reflects independent origin of distinct, though functionally similar, cis-regulatory mutations (Signor, 2016).
Cuticle color depends not just on the level of ebony, but on the balance between ebony, tan, yellow, and potentially other enzymes. For example, tan encodes a β-alanyl-dopamine hydrolase, which reverses the chemical reaction catalyzed by ebony. Although tan is implicated in the evolution of pigmentation in several species, it has been ruled out in many other studies including this one (Table S5). Interestingly, the evolutionary changes that were found to involve tan are never male limited; for example, tan controls a female-limited color polymorphism in D. erecta, and the secondary loss of pigmentation in D. santomea affects both sexes. It is possible that ebony could be favored as the male hotspot due to its dosage sensitivity and chromosomal location. ebony, but not tan or yellow, has a semi-dominant loss-of-function phenotype, suggesting that cis-regulatory mutations in ebony could be more readily visible to directional selection. At the same time, yellow and tan are X-linked, whereas ebony is autosomal, suggesting that it could harbor higher levels of standing genetic variation when not under directional selection. Interestingly, in D. melanogaster, D. americana, and the bipectinata species complex, the role of ebony in phenotypic evolution appears to derive from a combination of pre-existing and de novo mutations. Thus, chromosomal sex, the topology of the regulatory network, the kinetics of the pigment synthesis pathway, and population-genetic factors may all contribute to the evolutionary hotspot status of ebony (Signor, 2016).
In an accompanying paper (Yassin, 2016), a similarly unbiased and systematic approach was taken to map the genetic basis of natural variation in female-specific abdominal pigmentation in multiple species of the Drosophila montium species subgroup, which is closely related to the ananassae lineage. This variation was found to map to the pdm3 transcription factor in several distantly related species. Moreover, convergent involvement of pdm3 appears to reflect independent mutations in this gene in different species. In contrast, ebony does not contribute to color pattern variation in any of the four montium-subgroup species examined. Why do evolutionary hotspots differ in closely related lineages? Is this a matter of historical contingency or different gene network topology in different clades? Or are different genes within a shared network favored for cis-regulatory evolution in different sexes, resulting in sex-specific evolutionary hotspots? Intriguingly, in the only montium subgroup species in which ebony was implicated in color pattern variation, the pigmentation phenotype is male specific, supporting the latter hypothesis (Signor, 2016).
One can envision two principal mechanisms for the gain and loss of sex-specific traits. First (the instructive model), the genes responsible for phenotypic changes may be the same genes that are regulated in a dimorphic manner to generate sex-specific phenotypes, as was observed for ebony. Alternatively (the permissive model), the causative genes could be monomorphic, while sexual dimorphism is encoded in parallel to or downstream of these genes. For example, ebony could have been expressed equally between sexes in all species, while a different, 'gatekeeper' gene is sexually dimorphic in all species. In the latter scenario, high levels of ebony expression in both sexes would mask the dimorphic phenotypes promoted by the sex-specific gatekeeper gene, while low ebony levels would uncover the underlying dimorphism. Thus, ebony would be the causative gene responsible for differences between lineages, while the gatekeeper gene is responsible for sexual dimorphism (Signor, 2016).
These two models suggest very different mechanisms for the evolution of sexual dimorphism. Under the instructive model, gain and loss of sex-specific traits is caused by frequent changes in sex-specific gene regulation. Under the permissive model, the targets of the sex determination pathway can remain static over long evolutionary distances, while the underlying sexual dimorphism is revealed or obscured by sexually monomorphic genetic changes that occur elsewhere in the developmental pathway (Signor, 2016).
The current results argue for the instructive model: in all evolutionary contrasts, sex-specific pigmentation is associated with sex-specific ebony expression, and sexually monomorphic pigmentation is associated with monomorphic expression. Thus, sex-specific transcriptional regulation of ebony has been gained and/or lost several times within the ananassae species subgroup. A similar pattern has been observed in the expression of desat-F, a hydrocarbon desaturase enzyme involved in the synthesis of cuticular pheromones. It appears that sex-specific gene regulation can be gained and lost quite easily over short evolutionary timescales and that the evolution of sexually dimorphic traits is more likely to follow the instructive model (Signor, 2016).
Although the study of color pattern evolution in Drosophila has largely been dominated by candidate gene analyses, it has now been enriched by several unbiased, high-resolution genetic mapping studies, including this work. These studies have gone beyond spotlighting individual genes to provide a more holistic picture of the genetic architecture of evolutionary changes and have confirmed the predominance of cis-regulatory mutations in phenotypic evolution. Although no single gene is involved in all cases, the number of players appears to be limited, and most genes have been implicated repeatedly in multiple taxa. Collectively, parallel genetic analyses in multiple species suggest a 'toolkit model' of convergent evolution. For any trait, there are a limited number of genes that can potentially evolve to produce phenotypic changes. Within that toolkit, the relative likelihood of each gene's involvement may depend on its position in the regulatory network that controls the development of that trait, on the historical contingencies specific to each evolving lineage, and, potentially, on sex. Together, these trends result in a pattern where convergent phenotypes have distinct yet overlapping genetic basis in different species (Signor, 2016).
While most processes in biology are highly deterministic, stochastic mechanisms are sometimes used to increase cellular diversity. In human and Drosophila eyes, photoreceptors sensitive to different wavelengths of light are distributed in stochastic patterns, and one such patterning system has been analyzed in detail in the Drosophila retina. Interestingly, some species in the dipteran family Dolichopodidae (the "long legged" flies, or "Doli") instead exhibit highly orderly deterministic eye patterns. In these species, alternating columns of ommatidia (unit eyes) produce corneal lenses of different colors. Occasional perturbations in some individuals disrupt the regular columns in a way that suggests that patterning occurs via a posterior-to-anterior signaling relay during development, and that specification follows a local, cellular-automaton-like rule. It is hypothesized that the regulatory mechanisms that pattern the eye are largely conserved among flies and that the difference between unordered Drosophila and ordered dolichopodid eyes can be explained in terms of relative strengths of signaling interactions rather than a rewiring of the regulatory network itself. A simple stochastic model is presented that is capable of explaining both the stochastic Drosophila eye and the striped pattern of Dolichopodidae eyes and thereby characterize the least number of underlying developmental rules necessary to produce both stochastic and deterministic patterns. Only small changes to model parameters are needed to also reproduce intermediate, semi-random patterns observed in another Doli species, and quantification of ommatidial distributions in these eyes suggests that their patterning follows similar rules (Ebadi, 2018).
Orphan genes, lacking detectable homologs in outgroup species, typically represent 10-30% of eukaryotic genomes. This study investigated the roots of orphan gene emergence in the Drosophila genus. Across the annotated proteomes of twelve species, 6297 orphan genes were found within 4953 taxon-specific clusters of orthologs. By inferring the ancestral DNA as non-coding for between 550 and 2467 (8.7-39.2%) of these genes, this study describes for the first time how de novo emergence contributes to the abundance of clade-specific Drosophila genes. In support of them having functional roles, it was shown that de novo genes have robust expression and translational support. However, the distinct nucleotide sequences of de novo genes, which have characteristics intermediate between intergenic regions and conserved genes, reflect their recent birth from non-coding DNA. It was found that de novo genes encode more disordered proteins than both older genes and intergenic regions. Together, these results suggest that gene emergence from non-coding DNA provides an abundant source of material for the evolution of new proteins. Following gene birth, gradual evolution over large evolutionary timescales moulds sequence properties towards those of conserved genes, resulting in a continuum of properties whose starting points depend on the nucleotide sequences of an initial pool of novel genes (Heames, 2020).
Herbivory is a key innovation in insects, yet has only evolved in one-third of living orders. The evolution of herbivory likely involves major behavioral changes mediated by remodeling of canonical chemosensory modules. Herbivorous flies in the genus Scaptomyza (Drosophilidae) are compelling species in which to study the genomic architecture linked to the transition to herbivory because they recently evolved from microbe-feeding ancestors and are closely related to Drosophila melanogaster. This study found that Scaptomyza flava, a leaf-mining specialist on plants in the family (Brassicaceae), was not attracted to yeast volatiles in a four-field olfactometer assay, whereas D. melanogaster was strongly attracted to these volatiles. Yeast-associated volatiles, especially short-chain aliphatic esters, elicited strong antennal responses in D. melanogaster, but weak antennal responses in electroantennographic recordings from S. flava. The genome of S. flava was sequenced, and this species' odorant receptor repertoire was characterized. Orthologs of odorant receptors, which detect yeast volatiles in D. melanogaster and mediate critical host-choice behavior, were deleted or pseudogenized in the genome of S. flava. These genes were lost step-wise during the evolution of Scaptomyza. Additionally, Scaptomyza has experienced gene duplication and likely positive selection in paralogs of Or67b in D. melanogaster. Olfactory sensory neurons expressing Or67b are sensitive to green-leaf volatiles. Major trophic shifts in insects are associated with chemoreceptor gene loss as recently evolved ecologies shape sensory repertoires (Goldman-Huertas, 2005).
Understanding the origins and consequences of trophic shifts, especially the transition to herbivory, has been a central problem in evolutionary biology. The paleontological record suggests that evolutionary transitions to herbivory have been rare in insects, and the first transitions to herbivory in vertebrates occurred long after the colonization of land. However, species radiations result from herbivorous transitions in insects and vertebrates, suggesting that herbivory is a key innovation. Identifying functional genomic changes associated with the evolutionary transition to herbivory could yield insight into the mechanisms that have driven their success. However, the origins of the most diverse clades of herbivorous insects are ancient and date to the Jurassic or earlier, limiting meaningful genomic comparisons. In contrast, herbivory has evolved more times in Diptera than in any other order. The Drosophilidae is an excellent system to study the evolution of herbivory from a functional genomic perspective because it includes several transitions to herbivory, and the genomic model Drosophila melanogaster (Goldman-Huertas, 2005).
The transition to herbivory involves adaptations in physiology, morphology, and behavior. The evolution of sensory repertoires could reinforce or even precipitate these adaptations through adaptive loss or relaxation of functional constraint subsequent to a trophic shift. Adaptive loss of chemoreceptors has been rarely shown but occurs in nematodes, although their olfactory systems are distinct from insects. Families of mammalian olfactory receptor proteins have been remodeled during transitions to flight, aquatic lifestyles, and frugivory. Similarly, the evolution of diet specialization in Drosophila species correlates with chemoreceptor gene losses, and hematophagous flies have lost gustatory receptors that detect sweet compounds. More profound changes such as the evolution of new protein families are associated with major evolutionary transitions such as the evolution of flight in insects. Although gene loss is unlikely to be a driving force of innovation, loss-of-function mutations may be exeptations that allow novel behaviors to evolve by disrupting ancestral attractions. If detection of different chemical cues becomes selected in a novel niche, then loss through relaxed constraint may indicate which chemical cues have changed during a trophic shift (Goldman-Huertas, 2005).
The chemosensory repertoires of many drosophilid species have been functionally annotated. The genus Drosophila includes 23 species with published genome sequences, and D. melanogaster presents the most fully characterized insect olfactory system, allowing potential linkage of receptor remodeling to a mechanistic understanding of behavioral change (Goldman-Huertas, 2005).
Most drosophilids feed on yeast and other microbes growing on decaying plant tissues. Adult female D. melanogaster and distantly related species innately prefer yeast chemical cues to those produced by the fruit on which they oviposit. D. melanogaster detects volatiles with chemoreceptors of several different protein families, but especially receptors from the odorant receptor (OR) gene family, some of which, such as Or42b, are highly conserved across species. Or42b is necessary for attraction and orientation to vinegar and aliphatic esters. Similar compounds activate Or42b across many Drosophila species, suggesting that volatile cues for yeast, and the associated receptors, are conserved across the Drosophilidae (Goldman-Huertas, 2005).
The ancestral feeding niche for the genus Scaptomyza (Drosophilidae) is microbe-feeding, but Scaptomyza use decaying leaves and stems rather than the fermenting fruit used by D. melanogaster and other members of the subgenus Sophophora. The close association of Scaptomyza with decaying plant tissues may have precipitated the evolution of herbivory <20 MyBP. Adult females of the species S. flava feed and oviposit on living leaves of many cruciferous plants (Brassicales) including Arabidopsis thaliana. Females puncture leaves with serrated ovipositors to create feeding and oviposition sites, and larvae mine and pupate within the living leaves (Goldman-Huertas, 2005).
This study used Scaptomyza as a model to test the hypothesis that functional loss of chemosensory genes has played a role in a major ecological transition to herbivory in insects. It was hypothesized that the conserved detection of yeast volatiles would be lost in the herbivorous Scaptomyza lineage. This loss was tested by comparing D. melanogaster and S. flava at behavioral, physiological, and genetic levels. First, it was hypothesized that gravid ovipositing S. flava females would not be attracted to yeast volatiles. Second, it was hypothesized that the olfactory sensory organs of S. flava would have a decreased ability to detect individual yeast volatiles and volatile mixtures. Third, chemoreceptor genes from the OR gene family implicated in detection of yeast volatiles would be lost in the S. flava genome. Finally, it was predicted that chemoreceptor genes potentially mediating detection of plant volatiles would show evidence of positive selection and possibly, neofunctionalization (Goldman-Huertas, 2005).
Olfaction is used by insects to find resources, mates, and oviposition substrates. This study tested the hypothesis that S. flava is not attracted to yeast volatiles, whereas D. melanogaster is attracted to yeast volatiles. A four-field olfactometer assay was used in which filtered air blown through four corners of a diamond-shaped arena establishes four independent airfields. Two of the four fields were exposed to yeast volatiles from Saccharomyces cerevisiae cultures. The presence of gravid adult females of both species in either yeast or control fields was recorded every 6 s for 10 min. D. melanogaster flies spent 82.4 ± 18.2% SD of the assay time in yeast-volatile fields and more time in yeast-volatile fields than S. flava. S. flava did not spend more time in yeast-volatile fields and divided residence time evenly between yeast and control fields, consistent with a loss of attraction to yeast volatiles in S. flava flies (Goldman-Huertas, 2005).
Because S. flava flies failed to increase their residence time in olfactometer quadrants exposed to yeast volatiles, it was hypothesized that S. flava antennal olfactory sensory neurons (OSNs) were deficient in their ability to detect yeast volatiles. This hypothesis was tested by conducting electroantennogram (EAG) measurements in adult D. melanogaster and S. flava flies of both sexes 4-20 d after eclosion, exposed to the same yeast volatiles used in the olfactometer assays and to crushed rosette leaves of the host plant of S. flava flies in laboratory colonies (Arabidopsis thaliana accession Col-0). EAG responses are driven by the aggregate depolarization of OSNs in the antennae and scale with the concentration and identity of stimulants. No difference were found between sexes and data for male and female flies were combined. Consistently lower EAG signals were recorded in S. flava flies compared with D. melanogaster, preventing interspecific comparisons of signal amplitude, possibly due to differences in electrical properties of antennae (Goldman-Huertas, 2005).
The antennae of S. flava were more strongly stimulated by Arabidopsis volatiles than by yeast, whereas the antennae of D. melanogaster were more responsive to volatiles from yeast than those from Arabidopsis. Responses were recorded to a small panel of three volatiles associated with A. thaliana [(Z)-3-hexenol, myrcene, phenethyl isothiocyanate] and two with S. cerevisiae (2-phenylethanol, ethyl acetate). Antennae of both species detected all volatiles compared with a negative control. The antennae of S. flava were most responsive to (Z)-3-hexenol, a volatile produced by damaged leaves of many plant species, and were also highly attuned to phenethyl isothiocyanate, a hydrolyzed product of glucosinolates, which are the major defensive compound in host plants of S. flava. Responses to myrcene and 2-phenylethanol were not in the expected direction, although 2-phenylethanol, as a widespread floral volatile, may remain an important chemical cue for Scaptomyza adults (Goldman-Huertas, 2005).
Antennae of S. flava were less responsive to yeast and the yeast-associated volatile ethyl acetate than to plant-related volatiles, but these relative comparisons were insufficient to prove that the detection threshold for yeast volatiles had decreased in Scaptomyza. Therefore the sensitivity of S. flava and D. melanogaster flies to this and other short-chain aliphatic esters was tested by exposing females to half-log dilution series of ethyl acetate, ethyl propionate, and isobutyl acetate. Sensitivity was defined as the first concentration increase that generated an increased antennal response. S. flava was insensitive to ethyl acetate at the concentrations tested. S. flava was also less responsive to ethyl propionate and isobutyl acetate compared with D. melanogaster. Scaptomyza is considerably less sensitive to short aliphatic esters, which may account for differences in signal strength in response to plant and yeast volatile mixtures and the lack of attraction to yeast volatiles by S. flava. This unresponsiveness is consistent with the fact that deficits in the production of aliphatic esters in a yeast strain decreased attractiveness to D. melanogaster flies (Goldman-Huertas, 2005).
The lack of attraction and minimal EAG response to yeast volatiles in S. flava suggested that chemosensory genes have been lost or changed in herbivorous Scaptomyza species. ORs are expressed in the dendrites of OSNs in the antennae and maxillary palps and are the primary receptors by which most neopteran insects detect odors in their environments. The OR family has been functionally annotated in D. melanogaster, and members of subfamily H OR genes in particular are highly conserved and enriched in receptors for aliphatic esters, a group of compounds S. flava detected poorly (Goldman-Huertas, 2005).
To characterize changes in the OR gene repertoire in S. flava associated with the olfactory phenotypes, the genome of S. flava and annotated OR genes were annotated by using reciprocal tBLASTn searches of previously annotated Drosophila OR protein sequences against this de novo S. flava genome assembly. 65 full-length ORFs for OR genes were found in S. flava. Consistent with previous OR gene-naming conventions, ORs were named after the D. melanogaster ortholog or the most closely related gene, with the exception of OrN1 and OrN2 orthologs, which are not present in D. melanogaster (Goldman-Huertas, 2005).
Protein translations of S. flava genes were included in a phylogeny of D. melanogaster, Drosophila virilis, Drosophila mojavensis, and Drosophila grimshawi OR protein sequences to assess homology. The latter three species are the closest relatives of Scaptomyza with fully sequenced genomes (Goldman-Huertas, 2005).
S. flava retains duplicates of Or42a, Or67a, Or74a, Or83c, Or98a, and OrN2 found in other sequenced Drosophila species. Scaptomyza also has duplications not shared with close relatives, although nine of these genes are pseudogenized. The majority of paralogs (56%) were found on the same scaffold in tandem arrays. The functional significance of these gene duplications is not yet clear, but it is suggestive that Or67b, with three copies in S. flava, is in single copy in nearly all sequenced Drosophila. In D. melanogaster, neurons expressing Or67b respond to green leaf volatiles such as (Z)-3-hexenol, to which S. flava also has a robust antennal response (Goldman-Huertas, 2005).
Only four widely conserved ORs were uniquely lost (Or22a and Or85d) or pseudogenized (Or9a, Or42b) in the Scaptomyza lineage. Syntenic regions flanking OR losses were recovered in the genome assembly. Orthologs of Or9a, Or22a, and Or42b are intact in 23 Drosophila species with genome sequences, and Or85d is missing only in the Drosophila albomicans and Drosophila rhopaloa genome assemblies. As predicted, orthologs of ORs that persist in microbe-feeding Drosophila species and are lost in S. flava, function in yeast-volatile detection. Or42b is highly conserved in sequence among Drosophila species, and the receptor is highly attuned to aliphatic esters at low concentrations. Knockouts of Or42b in adult D. melanogaster result in failure to orient in flight toward aliphatic ester odor plumes , and rescuing these neurons restores attraction to yeast volatiles. Similarly, no sequences similar to Or22a were present in the S. flava assembly, although conserved intergenic regions were found in S. flava that flank Or22a in other Drosophila species. Or22a also detects aliphatic esters and in the specialist species Drosophila erecta and Drosophila sechellia, Or22a detects volatiles produced by host fruit. Both Or22a and Or42b are activated by floral volatiles of Arum palestinum, which mimics yeast fermentation volatiles and attracts a diversity of drosophilids. Finally, Or85d orthologs were not detected in the S. flava genome by BLAST or by inspection of genome regions flanking Or85d in other species. Or85d is expressed in the maxillary palps and in D. melanogaster is responsive to the yeast metabolites 2-heptanol, ethyl acetate, and isoamyl acetate. Or85d is highly sensitive to phenethyl acetate, a common volatile of many yeast species. In D. melanogaster, Or9a is activated by a broad range of ketone-, alcohol-, and carboxylic acid-containing ligands. Some of these ligands, such as acetoin, are common yeast volatiles and strong attractants. The consequences of Or9a pseudogenization will require further study (Goldman-Huertas, 2005).
A time-calibrated phylogeny of the family Drosophilidae suggests that herbivory evolved in Scaptomyza ca.13.5 million years ago (95% highest posterior density 10.02–17.48 million years ago), overlapping with age ranges inferred from previous analyses. Ancestral state reconstructions were performed in the APE package by using an equal rates model. This analysis indicated that microbe feeding is ancestral in Drosophila and Scaptomyza (99.7% probability) and that herbivory evolved once within the genus Scaptomyza (Goldman-Huertas, 2005).
It was hypothesized that OR gene losses would coincide with the evolution of herbivory. Degenerate PCR primers were developed from genomes of multiple Scaptomyza and Drosophila species that targeted exonic sequences of Or22a and Or9a, and conserved, flanking, intergenic sequences of Or42b and Or85d (Goldman-Huertas, 2005).
Gene losses in S. flava were confirmed by PCR screen in three natural populations, with the exception of SflaOr9a-1, which appeared to be present in a functional copy in a population from Arizona. A preliminary genome assembly of Scaptomyza pallida was consistent with PCR screening results for OR loss patterns in this species. The presence/absence of S. flava gene losses was reconstructed along ancestral nodes and found that three of the four OR gene losses in S. flava (Or22a, Or85d, Or42b) coincided with or preceded the evolution of herbivory in Scaptomyza. Losses were shared by herbivorous congeners. Or22a, while lost in S. flava, is intact in the microbe-feeding species Scaptomyza apicata and S. pallida and is also lost in two other herbivorous species, Scaptomyza nigrita and Scaptomyza graminum (Goldman-Huertas, 2005).
Specialist, microbe-feeding Drosophila species, such as D. sechellia and D. erecta have an accelerated rate of chemoreceptor gene loss, but this pattern could also be due to nearly neutral processes. S. flava feeds almost exclusively on plants within the Brassicales, and it was hypothesized that this species has experienced an accelerated rate of chemosensory gene loss compared with other microbe-feeding Drosophila species. This hypothesis was tested by coding homologous groups of ORs as present or absent in S. flava, D. virilis, D. mojavensis and D. grimshawi (the closest Drosophila relatives of Scaptomyza), and two models of gene loss were inferred in the Brownie software package. No evidence was found for the alternative model of increased rate of loss in Scaptomyza, but it cannot be ruled out that there were insufficient loss events to parameterize the more complex model or that other chemoreceptor gene families have undergone accelerated loss in S. flava. Also, S. flava is oligophagous, feeding on many plant species in the Brassicales, and it is less specialized than D. sechellia and D. erecta (Goldman-Huertas, 2005).
Because the shift to herbivory in Scaptomyza likely involved many changes in olfactory cues, it was hypothesized that some S. flava OR genes should bear signatures of episodic positive selection, as flies adapted to a novel environment. To test this hypothesis, null and alternative (branch-site) models were inferred in PAML 4.7a where subsets of codons in extant S. flava ORs could evolve under (i) purifying or neutral selection or (ii) purifying, neutral, or positive selection, relative to 12 Drosophila species. A phylogeny-aware alignment program, PRANK, was used to identify regions where indels were probable while minimizing sensitivity to alignment errors. Alignments where more than one taxon had an inferred indel in greater than two regions were trimmed by using Gblocks to remove columns with ambiguous homology(Goldman-Huertas, 2005).
After correcting for false discovery, two ORs were found in which the branch-site model consistent with episodic positive selection was more likely than the null model. Or88a had the strongest statistical support for the branch-site model. In D. melanogaster, Or88a functions in recognition of male and virgin female conspecifics . Two other branches among the S. flava Or67b paralogs also supported the branch-site model: an ancestral branch preceding a Scaptomyza-specific duplication event and a branch leading to Or67b-3. Homologs of this gene in D. melanogaster encode ORs that respond to the green-leaf volatile (Z)-3-hexenol, one of the most salient ligands found in EAG studies of S. flava. Experimental, functional, and population-based tests are needed to verify whether positive selection has fixed amino acid changes in the Scaptomyza lineage (Goldman-Huertas, 2005).
It is concluded that trophic transitions in the history of animal life, such as herbivory, may be mediated by genetic changes in chemosensory repertoires. The majority of Drosophilidae feed on microbes, and distantly related drosophilid lineages are attracted by the same yeast-mimicking floral scent produced by A. palestinum. A subset of the ORs stimulated by this scent are highly conserved in other drosophilids, which may be part of a homologous and conserved olfactory circuit used to find fermenting host substrates across the family. It was hypothesized that mutations disrupting the function of OR homologs in this conserved olfactory circuit could mediate the evolution of herbivory or other novel food preferences (Goldman-Huertas, 2005).
S. flava, an herbivorous drosophilid, has lost orthologs of ORs involved in this generalized yeast olfactory circuit. Consistent with these findings, S. flava did not respond to yeast volatiles in a behavioral assay. Antennae of S. flava were weakly activated by active yeast cultures and short-chain aliphatic esters, key compounds found in yeast volatile blends and known ligands of ORs in D. melanogaster lost in S. flava. However, retention of some ORs implicated in yeast-volatile detection, such as Or92a and Or59b, implies that S. flava may retain the ability to detect some untested yeast compounds (Goldman-Huertas, 2005).
It is hypothesized that OR genes would be intact in nonherbivorous Scaptomyza and gene losses would coincide with the transition to herbivory. Or22a loss did coincide with the evolution of herbivory, but losses of Or42b and Or85d likely predate the evolution of plant feeding. These more ancient losses of conserved yeast-volatile receptors suggest ancestral Scaptomyza may have already evolved novel olfactory pathways that were later co-opted by herbivorous lineages, and in fact, many Scaptomyza species feed on microbes living within decaying leaves or in leaf mines produced by other insects. Sister groups of many major herbivorous insect lineages also feed on detritus and fungi, suggesting that the transition from microbe feeding to herbivory may be common. The genetic changes that underlie host-finding remain to be identified, but recently duplicated ORs, such as the unique triplication of Or67b in Scaptomyza, are likely candidates for further functional study. Subtle, targeted remodeling of chemoreceptor repertoires may be a general mechanism driving changes in behavior, facilitating trophic shifts and ultimately diversification in animals (Goldman-Huertas, 2005).
Insect odorant receptor (Or) genes determine the responses of sensory neurons that mediate critical behaviours. The Drosophila melanogaster Or22 locus represents an interesting example of molecular evolution, with high levels of sequence divergence and copy number variation between D. melanogaster and other Drosophila species, and a corresponding high level of variability in the responses of the neuron it controls, ab3A. However, the link between Or22 molecular and functional diversity has not been established. This study shows that several naturally occurring Or22 variants generate major shifts in neuronal response properties. The molecular changes were determined that underpin these response shifts, one of which represents a chimaeric gene variant previously suggested to be under natural selection. In addition it was shown that several alternative molecular genetic mechanisms have evolved for ensuring that where there is more than one gene copy at this locus, only one functional receptor is generated. These data thus provide a causal link between the striking levels of phenotypic neuronal response variation found in natural populations of D. melanogaster and genetic variation at the Or22 locus. Since neuronal responses govern animal behaviour, it is predicted that Or22 may be a key player in underlying one or more olfactory-driven behaviours of significant adaptive importance (Shaw, 2019).
Drosophila suzukii Matsumura (Diptera: Drosophilidae) is a significant invasive pest in soft-skin fruits and berries in Asia, Europe, and North and South America. Many herbivorous insects use multiple cues for host selection, particularly olfactory and visual stimuli. The visual system of closely-related Drosophila melanogaster is well-documented, expressing strong sensitivity to short-wavelength colors (ultraviolet to green) and only limited sensitivity to long-wavelength colors (red to infrared). The results suggest that D. suzukii have limited ability to distinguish red consistent with visual sensitivity range within the melanogaster subgroup. It is proposed that color contrast rather than color appearance may be of greater importance in orientation and attraction. It is proposed that differences in reflectance between light wavelengths important for color opponency are key to color discrimination to provide color contrast between foreground and background, as occurs between fruit and foliage, during host-finding (Little, 2019).
The behaviors of closely related species can be remarkably different, and these differences have important ecological and evolutionary consequences. While the recent boom in genotype-phenotype studies has led to a greater understanding of the genetic architecture and evolution of a variety of traits, studies identifying the genetic basis of behaviors are, comparatively, still lacking. This is likely because they are complex and environmentally sensitive phenotypes, making them difficult to measure reliably for association studies. The Drosophila species complex holds promise for addressing these challenges, as the behaviors of closely related species can be readily assayed in a common environment. This study investigated the genetic basis of an evolved behavioral difference, pupation site choice, between Drosophila melanogaster and D. simulans. In this study, A significant contribution was demonstrated of the X chromosome to the difference in pupation site choice behavior between these species. Using a panel of X-chromosome deficiencies, the majority of the X chromosome was screened for causal loci, and two regions were identified associated with this X-effect. Gene disruption and RNAi data were collecting supporting a single gene that affects pupation behavior within each region: Fas2 and tilB. Finally, differences in tilB expression were shown to correlate with the differences in pupation site choice behavior between species. This evidence associating two genes with differences in a complex, environmentally sensitive behavior represents the first step towards a functional and evolutionary understanding of this behavioral divergence (Pischedda, 2019).
Trade-off between vision and olfaction, the fact that investment in one correlates with decreased investment in the other, has been demonstrated by a wealth of comparative studies. However, there is still no empirical evidence suggesting how these two sensory systems coevolve, i.e. simultaneously or alternatively. The "Dark-flies" (Drosophila melanogaster) constitute a unique model to investigate such relation since they have been reared in the dark since 1954, approximately 60 years (~1500 generations). To observe how vision and olfaction evolve, populations of Dark-flies were reared in normal lighting conditions for 1 (DF1G) and 65 (DF65G) generations. The sizes of the visual (optic lobes, OLs) and olfactory (antennal lobes, ALs) primary centres, as well as the rest of the brain, and compared the results with the original and its genetically most similar strain (Oregon flies). Whereas the ALs decreased in size, the OLs (together with the brain) increased in size in the Dark-flies returned back to the light, both in the DF1G and DF65G. These results experimentally show that trade-off between vision and olfaction occurs simultaneously, and suggests that there are possible genetic and epigenetic processes regulating the size of both optic and antennal lobes. Furthermore, although the Dark-flies were able to mate and survive in the dark with a reduced neural investment, individuals being returned to the light seem to have been selected with reinvestment in visual capabilities despite a potential higher energetic cost (Ozer, 2020).
The evolution of animal behaviour is poorly understood. Despite numerous correlations between interspecific divergence in behaviour and nervous system structure and function, demonstrations of the genetic basis of these behavioural differences remain rare. This study develop a neurogenetic model, Drosophila sechellia, a species that displays marked differences in behaviour compared to its close cousin Drosophila melanogaster that are linked to its extreme specialization on noni fruit (Morinda citrifolia). Using calcium imaging, this study identified olfactory pathways in D. sechellia that detect volatiles emitted by the noni host. This mutational analysis indicates roles for different olfactory receptors in long- and short-range attraction to noni, and cross-species allele-transfer experiments demonstrate that the tuning of one of these receptors is important for species-specific host-seeking. The molecular determinants of this functional change were identified, and their evolutionary origin and behavioural importance were characterized. Circuit tracing was performed in the D. sechellia brain, and receptor adaptations were found to be accompanied by increased sensory pooling onto interneurons as well as species-specific central projection patterns. This work reveals an accumulation of molecular, physiological and anatomical traits that are linked to behavioural divergence between species, and defines a model for investigating speciation and the evolution of the nervous system (Auer, 2020).
Females of many animal species mate several times with different males (polyandry), whereas females of some species mate with a single male (monandry) only once. Little is known about the mechanisms by which these different mating systems evolve. Females of Drosophila prolongata mate serially, unlike Drosophila melanogaster females that refuse to remate for several days after their first mating (remating suppression [RS]). Nevertheless, interestingly, nonvirgin D. prolongata females refuse to remate with males that are prohibited from performing their species-specific courtship behavior, leg vibration (LV), suggesting that LV overrides RS making it cryptic in D. prolongata. This study examined how long this cryptic RS persists. Surprisingly, it was sustained for at least 2 weeks, showing that RS is substantially augmented in D. prolongata compared to that of D. melanogaster. The two most closely related species to D. prolongata, Drosophila rhopaloa and Drosophila carrolli, do not perform LV and showed augmented RS, supporting the idea that augmented RS could have evolved before LV was acquired. These results suggested that D. prolongata females are intrinsically monandrous, whereas the newly evolved courtship behavior makes them polyandrous. This is a rare case in which a proximate mechanism of polyandry evolution from monandry is demonstrated (Minekawa, 2020).
Eco-evolutionary dynamics will play a critical role in determining species' fates as climatic conditions change. Unfortunately, there is little understanding of how rapid evolutionary responses to climate play out when species are embedded in the competitive communities that they inhabit in nature. The effects of rapid evolution in response to interspecific competition were tested on subsequent ecological and evolutionary trajectories in a seasonally changing climate using a field-based evolution experiment with Drosophila melanogaster. Populations of D. melanogaster were either exposed, or not exposed, to interspecific competition with an invasive competitor, Zaprionus indianus, over the summer. these populations' ecological trajectories (abundances) and evolutionary trajectories (heritable phenotypic change) were then quantified when exposed to a cooling fall climate. It was found that competition with Z. indianus in the summer affected the subsequent evolutionary trajectory of D. melanogaster populations in the fall, after all interspecific competition had ceased. Specifically, flies with a history of interspecific competition evolved under fall conditions to be larger and have lower cold fecundity and faster development than flies without a history of interspecific competition. Surprisingly, this divergent fall evolutionary trajectory occurred in the absence of any detectible effect of the summer competitive environment on phenotypic evolution over the summer or population dynamics in the fall. This study demonstrates that competitive interactions can leave a legacy that shapes evolutionary responses to climate even after competition has ceased, and more broadly, that evolution in response to one selective pressure can fundamentally alter evolution in response to subsequent agents of selection (Grainger, 2021).
Aggressive behaviours are among the most striking displayed by animals, and aggression strongly impacts fitness in many species. Aggression varies plastically in response to the social environment, but direct tests of how aggression evolves in response to intra-sexual competition are lacking. This study investigated how aggression in both sexes evolves in response to the competitive environment, using populations of Drosophila melanogaster that were experimentally evolved under female-biased, equal, and male-biased sex ratios. After evolution in a female-biased environment-with less male competition for mates-males fought less often on food patches, although the total frequency and duration of aggressive behaviour did not change. In females, evolution in a female-biased environment-where female competition for resources is higher-resulted in more frequent aggressive interactions among mated females, along with a greater increase in post-mating aggression. These changes in female aggression could not be attributed solely to evolution either in females or in male stimulation of female aggression, suggesting that coevolved interactions between the sexes determine female post-mating aggression. Evidence was found consistent with a positive genetic correlation for aggression between males and females, suggesting a shared genetic basis. This study demonstrates the experimental evolution of a behaviour strongly linked to fitness, and the potential for the social environment to shape the evolution of contest behaviours (Bath, 2021).