Interactive Fly, Drosophila

atonal


REGULATION

Targets of Activity

The gene atonal and the genes of the achaete-scute complex (AS-C), all proneural genes, are required for the selection of sense organ precursors. The proneural genes also endow these precursors with sense organ subtype information. In most of the ectoderm, atonal is required for precursors of chordotonal sense organs, whereas AS-C genes are required for those of most external sense organs, such as bristles. Previous misexpression experiments have shown that many ectopic external sense organs are formed upon atonal misexpression, as well as chordotonal organs. There are even some ectodermal areas in which atonal seems capable of only yielding external sense organs. The suggestion has been that ato is less capable that AS-C of giving subtype information. But there is also a suggestion that ato's lack of specificity may be an artifact of the nature of misexpression given by heatshock-inducible constructs (Jarman, 1993 and Chien, 1996). To address the question of how proneural genes influence subtype identity, the Gal4/UAS system of misexpression was employed. Unlike previous misexpression experiments, it was found that under specific conditions of misexpression, atonal shows high subtype specificity for ectopic sense organ formation. Moreover, atonal can even transform wild-type external sense organs into chordotonal organs, although scute cannot perform the reciprocal transformation. This evidence demonstrates that atonal's subtype determining role is not to directly activate chordotonal fate, but to repress the activation of cut, a gene that is necessary for external sense organ fate, thereby freeing its precursors to follow the alternative chordotonal organ fate. The realization that ato's subtype determining role is not to activate chordotonal genes but to inhibit cut expression simplifies the apparent complication that ato is required for a variety of sense organs: not only for chordotonal organs but also for R8 photoreceptors and even for a subset of external sense organs (some antennal olfactory receptors). Whereas all AS-C-dependent elements express cut, the unifying theme to these ato-dependent sensory elements is that none of them express cut (and therefore the olfactory organs are distinct from the majority of external sense organs). Therefore, the differential role of proneural genes in subtype determination is to specify not external sense organs vs. chordotonal organs, but Cut-positive vs. Cut-negative sense organs. The exact subtype fate of ato-dependent SOPs is not controlled by ato but presumably depends on the local context. In AS-C dependent SOPs, AS-C genes activate neural precursor genes that determine SOP fate. These genes would normally confer chordotonal fate, except that AS-C genes also activate cut, which inhibits chordotonal fate and activates external sense organ fate. In ato-dependent SOPs, there is still the potential for cut expression, perhaps because of the co-expresssion of AS-C, but this is countered by ato. This allows the SOPs to take on the alternative chordotonal fate (Jarman, 1998).

In the developing Drosophila retina, the proneural gene for photoreceptor neurons is atonal, a basic helix-loop-helix transcription factor. Using atonal as a marker for proneural maturation, the stepwise resolution of proneural clusters was examined during the initiation of ommatidial differentiation in the developing eye disc. In addition, evidence is provided that atonal is negatively regulated by rough, a homeobox-containing transcription factor expressed exclusively in the retina. This interaction leads to the refinement of proneural clusters to specify R8, the first neuron to emerge in the retinal neuroepithelium. Either ectopic expression of atonal or the removal of rough results in the transformation of a discrete 'equivalence group' of cells into R8s. In addition, ectopic expression of rough blocks atonal expression and proneural cluster formation within the morphogenetic furrow. Thus, rough provides retina-specific regulation to the more general atonal-mediated proneural differentiation pathway. Expression of Rough and Atonal is mutually exclusive: as atonal expression resolves from an initial ubiquitous stripe to individual proneural clusters, rough expression emerges in the intervening cells. The opposing roles of atonal and rough are not mediated through the Notch pathway, as their expression remains complementary when Notch activity is reduced. These observations suggest that homeobox-containing genes can serve a function of tissue-specific repression for bHLH factors. Rough is not likely to be a direct negative regulator of Enhancer of split expression since their expression patterns show extensive overlap. Instead, Rough-induced loss of E(spl) expression may be due to loss of atonal expression in a manner analogous to E(spl) requirement for achaete and scute activity. Notch signaling is also presumably required for E(spl) expression in this system (Dokucu, 1997).

The neuropeptide receptor NKD is a Drosophila homologue of the mammalian tachykinin receptors. This receptor is expressed during Drosophila embryonic development and in the adult fly. Use of the NKD promoter region to drive beta-galactosidase expression in transgenic flies reveals a bipartite promoter organization: the distal region controls NKD expression in neurosecretory cells of the central nervous system during late embryogenesis, whereas the proximal region is responsible for transient expression in peripheral nervous system during late embryogenesis, whereas the proximal region is responsible for transient expression in peripheral nervous system precursor cells early in development. This early NKD expression, first restricted to the sensory organ precursor cell, an atonal positive cell, is abolished in the ato1 mutant. The proneural protein Atonal, in association with Daughterless, transactivates the NKD promoter in Schneider S2 cells via the proximal E box NKDE2. Furthermore, heterodimers of Atonal and Daughterless interact with this E box in gel shift assay (Rosay, 1995).

An outstanding model to study how neurons differentiate from among a field of equipotent undifferentiated cells is the process of R8 photoreceptor differentiation during Drosophila eye development. Senseless is a Zn finger transcription factor that is expressed and required in the sensory organ precursors (SOPs) for proper proneural gene expression. In senseless mutant tissue, R8 differentiation fails and the presumptive R8 cell adopts the R2/R5 fate. senseless repression of rough (ro) in R8 is an essential mechanism of R8 cell fate determination and misexpression of senseless in non-R8 photoreceptors results in repression of rough and induction of the R8 fate. Surprisingly, there is no loss of ommatidial clusters in senseless mutant tissue and all outer photoreceptor subtypes can be recruited, suggesting that other photoreceptors can substitute for R8 to initiate recruitment and that R8-specific signaling is not required for outer photoreceptor subtype assignment (Frankfort, 2001).

Since the expression pattern of Sens overlaps that of Ato and sens lies downstream of proneural genes in the PNS, this relationship was confirmed in the developing eye. ato1 mutant clones were generated in the eye using the FLP/FRT system; Sens is not detected within these clones. Similarly, Sens is not detected in eye discs dissected from ato1 mutant larvae. UAS-ato was expressed under the control of sevenless-GAL4, which is expressed in all photoreceptor cells except R8, R2, and R5, and it was found that expression of Sens is strongly activated in response to ectopic ato. Taken together, these data place sens downstream of ato in the developing eye (Frankfort, 2001).

Thus a new model is proposed for the genetic regulation of R8 differentiation that includes the relationships among ato, sens, and ro. In this model, ato induces sens within the R8 equivalence group and R8, and sens is in turn required for maintenance of ato expression. Since R8 may transiently differentiate in sens mutant clones, ato is likely sufficient to confer specificity to R8 differentiation, whereas sens is required to 'lock-in' and maintain this program of R8 differentiation, primarily via the repression of ro. Thus, mutual antagonism of ato and ro is likely mediated by sens. sens presumably has a ro-independent role in R8 differentiation as well, because loss of ro function does not completely rescue the sens mutant phenotype (Frankfort, 2001).

Drosophila sensory neurons form distinctive terminal branch patterns in the developing neuropile of the embryonic central nervous system. A genetic analysis of factors regulating arbor position shows that mediolateral position is determined in a binary fashion by expression (chordotonal neurons) or nonexpression (multidendritic neurons) of the Robo3 receptor for the midline repellent Slit. Robo3 expression is one of a suite of chordotonal neuron properties that depends on expression of the proneural gene atonal. Different features of terminal branches are separately regulated: an arbor can be shifted mediolaterally without affecting its dorsoventral location, and the distinctive remodeling of one arbor continues as normal despite this arbor shifting to an abnormal position in the neuropile (Zlatic, 2003).

Two characteristics of sensory neurons that contribute to the final specification of their terminal arborization can be distinguished: position and modality. This study deals specifically with the question of modality-dependent arborization and, as a model for understanding the mechanisms involved, uses the distinctively different projections formed by the ch and md neurons, respectively. The complexity of individual arbors can be reduced by focusing separately on the essential features that give each arbor its characteristic identity; this study initially concentrated on arbor positioning within the mediolateral axis of the CNS. This work was carried out within a framework provided by a prominent set of axon fascicles that are labeled by antibodies to the cell adhesion molecule Fasciclin II (FasII), and this enables the detection of small changes in the position and/or structure of terminal arbors. The axons of the ch neurons branch and terminate on an intermediate axon fascicle, while those of the md neurons terminate on a medial fascicle. There are additional distinguishing features in the two projections, such as their positions in the dorsoventral axis and the late embryonic remodeling of the arbor formed by the dorsal bipolar dendrite (dbd) neuron, an identified member of the md class (Zlatic, 2003).

Using this system, the following four questions were asked about the way in which cell type-specific arborization is patterned in the developing CNS. (1) Since it is known that the Slit/Robo system positions axon fascicles in the mediolateral axis of the CNS, it can be asked whether the same system directly or indirectly controls the positions at which terminal arbors are formed in this axis. (2) Are different aspects of the same arbor, such as dorsoventral as opposed to mediolateral positioning, coordinately controlled or independently specified? (3) Will the likely targets of terminating neurons influence the position at which termination actually occurs? (4) What are the genetic controls that specify the different characteristics of a terminal arbor? It was found that arbor position in the mediolateral axis is determined in a binary fashion by the expression (ch neurons) or nonexpression (md neurons) of the Robo3 receptor for the midline repellent Slit. Robo3 expression is one of a suite of properties characteristic of ch neurons that depends on the expression of atonal in the precursors of these cells. Thus, while ectopic expression of Robo3 in md neurons switches their terminal arbor from a medial to an intermediate fascicle in the mediolateral axis, other properties of the arbor (such as late remodeling of the dbd arbor) are unaffected. In contrast, ectopic expression of the proneural gene ato in the precursors of md neurons transforms all aspects of their central projection to form a ch-like arborization (Zlatic, 2003).

The terminal arbors of sensory neurons in the Drosophila embryo form within a developing neuropile that consists largely of commissural and longitudinal axon fascicles together with the intervening branches and dendrites of other neurons. This mass of axons and dendrites is an organized three-dimensional structure within which there are clear signs of a conserved architecture that recurs throughout the insects and probably more widely in the arthropod phylum. At its most fundamental level, there is a subdivision in which the principal arborizations of the motoneurons form dorsally, whereas sensory terminals are generally found more ventrally. The endings of sensory neurons themselves terminate in distinctive regions of the more ventral neuropile that have an overall similarity across the insects -- the mechanosensory endings in the most ventral sector and the proprioceptive endings more dorsally (Schrader, 2000). This suggests that connections form in a structured environment that imposes an order on the developmental process. It is the nature of this ordering process with which this paper is concerned. The analysis focuses on the distinctive terminal arborizations formed by two different types of sensory neurons, the ch neurons and the dbd neurons (Zlatic, 2003).

The first detailed maps of sensory terminals in the developing CNS of the Drosophila embryo and larva revealed that the arborizations of the sensory axons are as characteristic of particular sense organs as the structures of the sense organs themselves (Merritt, 1995; Schrader, 2000). For example, ch organs have arbors that form at an intermediate and fairly ventral level in the neuropile. In contrast, the arbors of most md neurons develop at a more medial and slightly more ventral location. Within the md class, however, four neurons have specialized projections. In particular, the dbd neuron has a dorsal projection that is uniquely remodeled toward the end of embryogenesis. Interestingly, dbd and the other neurons with specialized arbors correspond to identifiable subsets of cells within the md class that are distinguished both by their peripheral structures and by patterns of gene expression (Zlatic, 2003).

The first finding is that in wild-type embryos, md and ch arborizations are closely aligned with elements of the FasII-positive axon tracts that form a conspicuous set of longitudinal pathways in the embryonic and larval nervous systems. These consistent patterns of termination allow the precise definition, in two dimensions (the dorsoventral and mediolateral axes), of the different coordinates at which ch and dbd terminals will normally form in developing neuropile (Zlatic, 2003).

How are these coordinates specified for each neuron type? Previous work in Drosophila has shown that the Robo receptors for the repellent Slit are responsible for positioning CNS axon fascicles in the medial, intermediate, and lateral tracts on either side of the midline. Robo has also been shown to influence dendritic growth and synaptic connectivity in the giant fiber system of the adult fly. At the time of sensory neuron branch formation, Robo is expressed in dbd/md and ch neurons and acts to confine both kinds of projections to the ipsilateral CNS. In a robo mutant, both sets of neurons form bilateral projections, but the distinctive locations of the terminals persist on both sides of the midline. This distinction depends on the expression of Robo3, which is present in ch neurons but not in dbd/md neurons. When Robo3 is absent or downregulated, ch terminals form at the more medial position characteristic of db/dmd neurons. Similarly, if robo3 is ectopically expressed in dbd/md neurons, their terminals are shifted into the ch region of the neuropile. The action of Robo3 on mediolateral positioning is a direct one for two reasons: (1) either ectopic expression of Robo3 or downregulation of Robo3 function (by expression of comm) in sensory neurons but not their central targets selectively induces lateral shifts of sensory arbors and (2) ch projections can form in an intermediate position independently of their normal substrate for arborization. In robo3 mutants, the intermediate FasII fascicle on which ch arbors normally form shifts medially, as do the ch projections. However, when Robo3 function is selectively restored in the sensory system of robo3 mutants, the ch projections form in the intermediate region of the neuropile, as in wild-type (Zlatic, 2003).

These experiments also show that the locations at which terminals form in the mediolateral and dorsoventral axes are separately specified and one can be manipulated independently of the other. Thus, in all cases where dbd/md or ch terminals are shifted in the mediolateral axis by changing levels of Robo3, the dorsoventral position remains unchanged: a medially shifted ch terminal is ventral; a laterally shifted dbd terminal is dorsal. This finding reinforces the distinction between two alternative ways of determining the position of sensory axon terminals in the embryonic neuropile. The simplest model would suggest that growing axons are attracted to a specific central target: in this case, the position of the target (however determined) fixes the three-dimensional location of the terminal arbor of the sensory neuron. These results suggest that this model does not apply: in these experiments, the position of the terminal arbor is regulated by factors that separately specify its position in two dimensions. It is the response of the sensory axon to these different factors rather than to their targets that determines where the terminal arbor will form (Zlatic, 2003).

It is concluded that there are several properties of ch neurons that dictate the position and shape of their terminal arbors, of which Robo3 expression is one. Robo3 expression is specified by the proneural gene ato. Thus, when ato is expressed in other embryonic sensory neurons, these cells too express Robo3. In addition, misexpressing ato can completely transform dbd projections into ch-like projections (although the cell body remains dbd-like). In such cases, both mediolateral and dorsoventral positions are changed and the late stage remodeling does not take place. Thus, ato not only regulates Robo3 expression but also controls the whole suite of properties that dictates the position-specific termination of ch neurons. The mechanism of this regulation, at least for Robo3 expression, is likely to be an indirect one. (1) Transformation (including Robo3 expression) of md into ch-like neurons by ectopic ato requires that ato be expressed early, during the period of sensory organ specification and not as the arbors form. (2) Only primary (not secondary) ch organs express ato, yet all ch neurons express Robo3 and project their terminal arbors into a common region of the neuropile (Zlatic, 2003).

Previous studies have shown that ectopic ato can transform adult es organs into ch organs and that those transformations are achieved by an active downregulation of cut, which is required for es organ formation but is also expressed in a subset of md neurons. If ato upregulated Robo3 by downregulating Cut, then in cut mutant embryos all normally cut-expressing md neurons should be found to express Robo3. This is not the case and in cut mutants Robo3 is expressed only in the ch neurons, as in wild-type. It is also found that md neurons of the dorsal cluster, which normally express Cut, retain their wild-type projections in 15 hr cut mutant embryos (Zlatic, 2003).

While ato regulates ch-like characteristics, what specifies the unique features of the dbd arbor? Alone among md neurons, the dbd neuron projects to the dorsomedial FasII fascicle and undergoes late stage remodeling. The md neurons are a heterogenous population with respect to their expression of proneural transcription factors and identity genes such as cut. Interestingly, the SOPs of the dbd (and ddaE) neurons do not express cut or the AS-C but a different proneural gene, amos. By analogy with the role of ato in determining the ch-like projection pattern, amos may determine aspects of the dbd-specific projection pattern. It is also observed that ectopic expression of ato in dbd can generate intermediates, halfway transformations between dbd and ch, both with respect to mediolateral positioning and late stage remodeling. These intermediates may reveal competitive interactions between ch- and dbd-specific transcription factors. Thus, proneural genes could conceivably act in a combinatorial fashion to specify diverse shapes and positions of terminal branches (Merritt, 1995). Such a view is reinforced by the fact that it is those sensory neurons, which express a combination of proneural genes in their SOPs, that have distinctive terminal arbors (Merritt, 1995). However, there are likely to be additional factors that contribute to specify individual neuronal arbors, in particular in those instances in which terminal projection varies as a function of position. For example, in the cockroach the transcription factor Engrailed controls axon projections and synaptic choice of identified sensory neurons. Similarly, the prepattern genes araucan and caupolican play a role in establishing the difference in the projection pattern between lateral and medial es neurons in the adult Drosophila notum (Zlatic, 2003 and references therein).

Working from first principles, it might be supposed that different kinds of sensory neurons would locate the distinctive positions appropriate for their terminal arbors by seeking out their target interneurons in the developing CNS. However, in its simplest form, this model must be incorrect: in one axis at least, terminating axons detect and are positioned by their response to a cue that is produced not by their targets but by cells on the midline. This might suggest that sensory terminals are located at appropriate positions within the neuropile by factors that are quite independent of the neurons with which they will ultimately form connections. Indeed, an early experiment in the zebrafish embryo showed that if the target Mauthner cell is removed, the conspicuous cap of commissural axon terminals that normally encloses the Mauthner axon hillock continues to form at its proper location in the neuropile. It cannot necessarily be concluded from these experiments that sensory terminals in Drosophila are similarly positioned by factors entirely independent of the target. In the periphery, motoneuron axons are guided to their proper muscles by a hierarchy of cues, starting with a transcription factor code that delivers them to particular regions of the muscle field within which they then seek out and synapse with their targets. In the case of the embryonic sensory neurons, a hierarchy of cues, including target-derived signals, could also be envisaged that would contribute to the final projection pattern and certainly to synaptogenesis (Zlatic, 2003).

When approaching the apparently complex issue of how appropriate connections are formed between neurons within the meshwork of alternatives presented in the developing neuropiles, there may be two simplifying processes that should be considered. The first is that initial patterns of termination may be determined by a combination of cues that separately dictate distinct features of the arbor. The second is that the combination of such cues coupled with specific patterns of receptor expression may lead to the local arborization of pre- and postsynaptic neurons on a common substrate. Such patterns of growth would build a coherent platform on which detailed connectivity could then be established (Zlatic, 2003).

Evolution of neural precursor selection: functional divergence of proneural proteins

How conserved pathways are differentially regulated to produce diverse outcomes is a fundamental question of developmental and evolutionary biology. The conserved process of neural precursor cell (NPC) selection by basic helix-loop-helix (bHLH) proneural transcription factors in the peripheral nervous system (PNS) by atonal related proteins (ARPs) presents an excellent model in which to address this issue. Proneural ARPs belong to two highly related groups: the ATONAL (ATO) group and the NEUROGENIN (NGN) group. A cross-species approach was used to demonstrate that the genetic and molecular mechanisms by which ATO proteins and NGN proteins select NPCs are different. Specifically, ATO group genes efficiently induce neurogenesis in Drosophila but very weakly in Xenopus, while the reverse is true for NGN group proteins. This divergence in proneural activity is encoded by three residues in the basic domain of ATO proteins. In NGN proteins, proneural capacity is encoded by the equivalent three residues in the basic domain and a novel motif in the second Helix (H2) domain. Differential interactions with different types of zinc (Zn)-finger proteins mediate the divergence of ATO and NGN activities: Senseless is required for ATO group activity, whereas MyT1 is required for NGN group function. These data suggest an evolutionary divergence in the mechanisms of NPC selection between protostomes and deuterostomes (Quan, 2004).

ATO and NGN proteins share 47% identity in the bHLH domain including eight out of 12 amino acid residues in the DNA binding basic domain and are expressed in both the Drosophila and vertebrate PNS. However, differences in their usage for early NPC specification in the PNS between vertebrates and invertebrates have been noted. NGN proteins do not act early in NPC specification in invertebrates, whereas ATO proteins do not act early in NPC specification in vertebrates. Does this switch in the use of proneural proteins reflect a mechanistic difference or an inert change of expression pattern of otherwise functionally equivalent genes? To address this issue, a comparative analysis was initiated using Drosophila and Xenopus as model systems. To assay the proneural activity of mouse NGN1 and fly ATO in vertebrates, the mRNA of each was injected into a single blastomere of a two cell-stage Xenopus embryo. Neuronal induction was detected at stage 15 via whole-mount in situ hybridization for N-tubulin, an early marker of neuronal differentiation. Compared with uninjected embryos, injection of Ngn1 mRNA induces a large number of ectopic neuronal precursors on the injected side. By contrast, injection of Ato mRNA does not induce a significant increase in N-tubulin expression. Similarly, the injection of mRNA for Math1, a mouse ortholog of ato does not significantly increase N-tubulin expression at stage 15 but very few scattered N-tubulin positive cells can be seen at stage 19. Similar observations have been made for Xath1 which has been shown to be a much weaker inducer of neuronal precursors than NGN1. These data suggest that the Xenopus ectoderm responds robustly to NGN group proteins, but very weakly to ATO group proteins, to induce neurogenesis (Quan, 2004).

One explanation for the weakness of ATO and MATH1 activity in Xenopus is that NGN proteins are more potent neural inducers than ATO proteins and that, in parallel, stronger induction is needed in the vertebrate neuroectoderm than in the Drosophila neuroectoderm. To test this possibility, ATO proteins and NGN proteins were misexpressed in Drosophila using the UAS/Gal4 system and neural induction was assayed by counting the number of sensory bristles produced. Consistent with the fact that ato and Math1 completely rescue each other's loss of function, the two genes show very similar phenotypes and they were used interchangeably throughout the study. Expression of ngn2 with four different wing disc Gal4 drivers (C5-Gal4, 71B-Gal4, 32B-Gal4 and dpp-Gal4) showed no neural induction. Sixteen out of 23 ngn1 transgenic lines showed no neural induction. The other seven showed very weak induction with the strongest Gal4 driver, dppGal4. Therefore, the combination of dppGal4 and the strongest uas-ngn1 transgenic line were used in the rest of this study to determine the genetic and molecular basis of the difference in activity between ATO proteins and NGN proteins. The dppGal4 driver in Drosophila is used to induce genes of interest along the anteroposterior (AP) axis of the wing disc. Wild-type flies have no external sensory bristles or chordotonal organs (CHOs) on the AP axis of the wing blade. By contrast, a large number of sensory bristles is found along the AP axis of the wing with 100% penetrance when either MATH1 or ATO is expressed using dppGal4. In addition, both ATO and MATH1 induce CHOs. Expression of the strongest NGN1 transgenic line results in very few bristles in only 70% of the flies examined and no detectable CHOs. Quantitative analysis reveals that the number of sensory bristles induced by MATH1 is sixfold more than induced by NGN1. Identical observations were made in the few surviving flies under the same conditions using strong UAS-ATO lines. In the vertebrate PNS, NGN1 and NGN2 are sometimes co-expressed, and activate the expression of NeuroD group proteins. Therefore, it is possible that the weak neural induction of mouse NGN1 is due to the lack of homologs of NeuroD proteins in flies. However, co-expression of NGN1 and NGN2 or NGN1 and MATH3, a NeuroD group protein, failed to enhance the proneural activity of NGN1 in Drosophila (Quan, 2004).

One explanation for the very small number of bristles obtained after strong expression of NGN1 may be that the protein is able to induce NPCs, but most of these NPCs fail to differentiate properly and do not give rise to sensory organs. To test this possibility, NPC formation was examined directly upon expressing NGN1, ATO and MATH1 with dppGal4 in A101-lacZ flies. A101-lacZ is an NPC specific enhancer trap. The normal pattern of NPCs is revealed by anti-ß-GAL staining in third instar larval (L3) wing discs. Misexpression of ATO along the AP axis of the wing disc results in the induction of ectopic NPCs within the domain of ATO expression. By contrast, despite high levels of NGN1 expression, no detectable increase in NPCs is observed upon expression of NGN1. Similarly, ATO, but not NGN1, induced asense expression, another marker of NPC specification (Quan, 2004).

Is the weak activity of NGN1 specific to ectopic expression in the wing disc? Wide expression of NGN1 in embryos using da-Gal4 does not result in ectopic neurons. Finally, attempts were made to rescue the loss of ato in the eye imaginal disc using Gal4-7 and uas-ngn1. Gal4-7 induces expression anterior to the morphogenetic furrow and has been used to restore photoreceptors to ato mutant eye discs using scute and Math1. Expression of NGN1 in ato mutant discs did not result in any rescue nor did it induce ectopic R8 cells when expressed in control discs. For simplicity, the number of bristles was used as a quantitative assay for NPC formation for the remainder of the study (Quan, 2004).

To explore whether the differential activities of NGN proteins and ATO proteins can be understood at the level of the proteins themselves, a comparative analysis of the amino acid sequence of the basic domain was performed. Several studies have shown that important information is encoded by the basic domain, or specific residues therein. In addition, the 12 amino acids in the basic domain are sufficient to phylogenetically delineate ATO proteins and NGN proteins, arguing that sequence differences within the basic domain are of functional significance. However, previous studies did not investigate the genetic basis or address the evolutionary implications of the variation in basic domain sequence. ATO proteins and NGN proteins share eight residues out of 12 in the basic domain. One is variable, and the other three residues show almost absolute group specificity: they are highly conserved within each group but are essentially never the same between the two groups. To investigate whether this sequence specificity can explain the species-specific activities of ATO proteins and NGN proteins, a chimeric protein was created, exchanging the three group-specific amino acids in the basic domain of NGN1 for those present in ATO, named NGNbATO. Expression of NGNbATO induces the appearance of bristles along the AP axis of the wing in all transgenic lines examined. Strong UAS-NGNbATO lines mimic strong UAS-ATO lines and result in significant lethality and more than 60 bristles per wing in the few surviving flies. Moderate UAS-NGNbATO lines behave like moderate UAS-ATO lines and induce an average of 33 bristles per fly along the AP axis when compared with an average of seven for strongest UAS-NGN1 lines. Conversely, a chimeric protein was created exchanging the three group-specific amino acids in the basic domain of ATO to NGN1, named ATObNGN. Whereas the injection of Ato mRNA in Xenopus embryos has no significant effect on the N-tubulin expression pattern, the injection of AtobNGN mRNA induces N-tubulin expression, indistinguishable from that caused by the injection of NGN1. Therefore, the NGNbATO mutant recovers the NPC inducing activity of ATO in Drosophila, and the ATObNGN mutant recovers the NPC inducing activity of NGN1 in Xenopus (Quan, 2004).

It is worthwhile to notice that only some of residues in the basic domain are directly contacting to DNA. The specific activities of ATO and NGN1 are unlikely to depend on differential DNA-binding activity, since ATO proteins and NGN proteins have identical DNA contact amino acids and can activate the NeuroD promoter via the same E-boxes in P19 cells. Interestingly, biophysical and DNA-binding studies comparing MASH1 and MyoD have shown that they display similar binding preferences leading to the conclusion that their different target specificities cannot be explained solely by differential DNA binding. Similar conclusions were made comparing ato and sc activities in neural subtype specification (Quan, 2004).

To investigate whether other functionally specific motifs exist in the bHLH domain of ARP proteins, the evolutionary trace (ET) analysis method was used. ET tracks residues whose mutations are associated with functional changes during evolution. This approach has been used to identify novel functional surfaces, and has recently been shown to be widely applicable to proteins. In practice, ET relies on the phylogenetic tree of a protein family and identifies residues of the alignment that are invariant within branches but variable between them. These positions are called 'class specific'. The smallest number of branches at which a position first becomes class specific defines its rank. The top ranked positions (1) do not vary. Very highly ranked positions (2-8) are such that they vary little and, whenever they do, there is also a major evolutionary divergence. By contrast, poorly ranked positions vary more often, and their variation does not seem to correlate with divergence. Thus, highly ranked positions tend to be functionally important, while poorly ranked ones tend not to be. When examining ARP bHLH domains, ET identified a number of positions that are jointly important in different bHLH domains, yet that undergo significant variation between them. These residues varied in rank from 2 to 7, suggesting that they can undergo non-conservative mutations that are likely to correspond to functional divergence events. These positions tend to be most conserved between NeuroDs and NGN proteins and then undergo variations in ATO proteins, suggesting that they are important for an activity shared by NGN proteins and NeuroDs, but absent in ATO proteins. The data above show that the ability to induce NPCs in vertebrates is precisely such an activity. To investigate further the role of these group-specific residues on functional specificity, a chimeric protein, named NGNH2ATO (exchanging amino acids 37, 39, 43, 44 and 46 in Helix2 of NGN1 with those present in ATO), was created and tested in Drosophila. Expression of the strongest NGNH2ATO transgenic line induces a maximum of two bristles along the AP axis of the wing per fly in 50% of the flies. Quantitative analysis shows that, unlike ATO, NGNH2ATO induces an average of 0.8 bristles along AP axis per fly. These data indicate that the group-specific motif in Helix2 of ATO does not encode proneural activity in Drosophila. Conversely, a chimeric protein, named ATOH2NGN, was generated exchanging the same five amino acids in Helix2 of ATO to those found in NGN1. Injection of ATOH2NGN mRNA causes ectopic N-tubulin expression, indistinguishable from the injection of NGN1. Therefore, ATOH2NGN recovers the activity of NGN1 in Xenopus. Taken together, the mutational analysis results agree with the predictions of the ET analysis indicating that the identified residues in Helix2 mediate the activity of NGN proteins but not of ATO proteins (Quan, 2004).

The data support the hypothesis that ATO proteins and NGN proteins act via different genetic pathways to specify NPCs in different species. What might those pathways be? One simple explanation may be that NGN1 is not able to form heterodimers with fly Daughterless (DA), a required partner protein for NPC specification. In order to test this possibility, co-IP experiments were performed, in which 35S-labeled ATO, MATH1 or NGN1 were co-precipitated with DA-Myc using anti-Myc antibodies. In the presence of DA, mouse MATH1, fly ATO and mouse NGN1 are co-precipitated. Only background levels of NGN1 are detected in the absence of DA. These results suggest that mouse NGN1 can bind physically to fly DA in vitro. To test if DA and NGN1 can interact genetically in vivo, NGN1 was expressed in the absence of one copy of da. The number of sensory bristles produced by NGN1 along the AP axis is greatly decreased in a heterozygous da background. Therefore, mouse NGN1 can physically and genetically interact with fly da in Drosophila in a dose-sensitive manner (Quan, 2004).

Next, the possibility that mouse NGN1 does not respond to the Drosophila Notch signaling pathway was examined. To test this, neural induction by NGN1 was examined in the absence of one copy of Notch (N+/–) or with the co-expression of Notch pathway genes. The proneural activity of NGN1 is enhanced in a N+/– background. Conversely, NGN1 activity is completely inhibited by co-expression of a constitutively active form, Nintra or members of the E(Spl) complex, m8 and mdelta. These data demonstrate that mouse NGN1 can be regulated by the Notch signaling pathway in Drosophila. It should be noted that overexpression of ATO in a N heterozygous background results in almost complete lethality and in extremely deformed wings, owing (in part) to a very large number of bristles in the few surviving flies. Since both ATO and NGN proteins can respond to levels of Notch signaling but only ATO proteins can efficiently specify NPCs, it is possible that ATO proteins and NGN proteins use different mechanisms to interact with the Notch signaling pathway. One possibility is that NGN proteins are more sensitive than ATO proteins to levels of transcriptional inhibitors of proneural activity encoded by the E(spl) genes because NGN1 activity, like that of ATO, can be repressed by ectopic expression of E(spl) proteins. However, in contrast to what is observed with Notch, removing a copy of the E(spl) complex does not alter NGN1 activity, suggesting that NGN1 is not more sensitive to levels of transcriptional inhibitors of proneural activity (Quan, 2004).

NPC formation in Drosophila requires the Zn-finger protein Senseless (SENS). Fly proneural proteins first induce sens expression and then synergize with it in a positive feedback loop. This appears to enhance the ability of proneural genes to downregulate Notch signaling in the presumptive NPC. In vertebrates, Senseless-like proteins appear not to act in NPC formation, although they are expressed in the PNS. To test the possibility that SENS shows group specific interactions with bHLH proteins during NPC selection, the abilities of ATO and NGN1 to induce SENS were examined. SENS expression in wild-type L3 wing discs marks NPC formation. Ectopic SENS induction is detected along the AP axis of wing discs when ATO is misexpressed. However, SENS expression is not induced by NGN1. These data suggest that unlike ATO, NGN1 does not efficiently induce SENS expression. Whether lowering endogenous levels of Notch would allow NGN1 to induce SENS was examined. Expression of NGN1 in Notch heterozygous animals, although significantly increasing the number of induced bristles, fails to induce SENS expression when compared with N+/– controls, arguing that NPCs induced by NGN proteins are specified via a different mechanism not normally used in Drosophila. Although NGN1 does not induce SENS, it is possible that synergy might occur if the requirement for SENS induction is bypassed. Therefore the ability of NGN1 and MATH1 to synergize with SENS in vivo was compared by co-expressing either NGN1 or MATH1 with SENS using a moderate scutellar Gal4 driver (C5-Gal4). Neural induction was examined by counting the ectopic bristles induced on the scutellum. Wild-type flies have four large bristles, or macrochaete, on their scutella. Expression of SENS or MATH1 alone with C5-Gal4 induces a number of ectopic microchaete, or small bristles, on the scutellum. No ectopic sensory bristles were found when NGN1 was expressed alone. Co-expression of NGN1 and SENS has the same effect on the scutellum as the misexpressing SENS alone. Co-expression of MATH1 and SENS, however, causes the appearance of a large number of both micro- and macrochaete. Finally, NGN1 or MATH1 were co-expressed in the absence of one copy of sens. No effect on NGN1 activity in a sens+/– background was observed. By contrast, the average number of sensory bristles produced by MATH1 along the AP axis was reduced by 42% if a single copy of sens was removed suggesting dose-sensitive interactions. Thus, neither by loss nor gain of function criteria does NGN1 appear to interact with SENS, thus explaining its weak proneural activity and inability to efficiently antagonize Notch signaling in Drosophila. Therefore, SENS is a key extrinsic difference in how ATO proteins and NGN proteins regulate NPC selection (Quan, 2004).

In Xenopus, the C2HC-type Zn-finger protein X-MyT1 is expressed in primary neurons and can be induced by NGN proteins. In addition X-MyT1 has been suggested to play a role in NPC formation and to synergize with NGN proteins. In order to test if X-MyT1, like SENS, shows specificity in its interaction with ARP proteins, its ability to interact with NGN1 and ATO in Xenopus was compared. X-MyT1 mRNA was injected alone or co-injected with either Ngn1 or Ato mRNA. As expected, the injection of X-MyT1 increases the number of N-tubulin-expressing cells in the neural plate domains where neurons normally form, while the injection of Ngn1 mRNA alone leads to induction of N-tubulin expression. Co-injection of Ngn1 and X-MyT1 mRNAs results in very strong N-tubulin induction, pointing to a synergistic interaction between the two proteins. By contrast, co-injection of Ato and X-MyT1 mRNAs does not cause a detectable increase in N-tubulin expression compared with the injection of X-MyT1 mRNA alone. Similarly, the few ectopic N-tubulin-expressing cells observed when Math1 mRNA is injected are not increased by co-injection of Math1 and X-MyT1. Thus, X-MyT1 interacts specifically with NGN1 and not with ATO or MATH1. The data above demonstrate that the correct combination of ARP protein and Zn-finger protein is necessary for NPC induction (Quan, 2004).

Does the coding sequence difference mediate the divergence in the genetic interactions of ARPs? To test this, whether the chimeric proteins recover the ability to interact with the respective Zn-finger proteins was examined. Indeed, expression of NGNbATO in Drosophila results in the induction of SENS, and the number of bristles induced by NGNbATO in absence of one copy of sens (sens+/–) is reduced by ~44%. In addition, strong synergy was observed by co-expression of NGNbATO and SENS using the dppGal4 driver. Therefore, NGNbATO is able to induce and interact with SENS in Drosophila. In Xenopus, just like Ngn1, co-injection of AtobNGN and X-MyT1 mRNAs results in synergy and very strong ectopic N-tubulin expression when compared with the injection of X-MyT1 or AtobNGN alone. Similarly, co-injection of ATOH2NGN and X-MyT1 mRNAs results in synergy and very strong induction of N-tubulin expression suggesting that ATOH2NGN and ATObNGN use the same mechanism of action as NGN1 (Quan, 2004).

At the developmental level, the data presented in this study can be explained by two possibilities. The first is that Drosophila and vertebrates use different bHLH proteins with divergent mechanisms for selecting similar cell types: the earliest born neural progenitors. Alternatively, NGN proteins may be involved in selecting neuronal (versus glial) rather than earliest born neural progenitors in vertebrates. This is certainly the case in the mammalian inner ear and it should be determined whether it is a more generally applicable rule, at least in the PNS. These two models for NGN function are not mutually exclusive. It is possible that in different lineages, NGN proteins select first neural, and then neuronal, precursors. This would be compatible with data from both flies and vertebrates showing that Notch signaling, in addition to having anti-neural effects, has also anti-neuronal and pro-glial effects during neural lineage development. Analysis of the fly NGN protein, TAP, may shed some light on this issue. At any rate, a comparative approach should provide a powerful tool for the systematic analysis of the pathways which program neural stem cells (Quan, 2004).

Regardless of the precise developmental step at which ATO proteins and NGN proteins act, it is clear that the genetic and molecular mechanisms by which they act are different, suggesting that the functions of ATO proteins and NGN proteins are regulated by different factors. Furthermore, it is clear that the group-specific amino acids underlie these molecular differences. At this point it is difficult to interpret the precise role of the group specific residues in molecular terms. Nonetheless, three possibilities seem reasonable. The first is that currently unknown proteins bind to these residues. The second is that these residues are sites of differential post-translational modifications which in turn influence the choice of target gene specificity. Finally, it is possible that while these residues do not bind to DNA themselves, they influence the three dimensional structure or the conformational changes which DNA binding residues assume upon contacting DNA. In this scenario, these residues do ultimately influence the choice of the binding site without themselves contacting it. The data illustrate the power of a comparative approach in identifying not only conserved, but also divergent, developmental mechanisms, and suggest a platform for screening for the genes mediating the divergence. It is noteworthy that NGN1, on the one hand, and XATH1 and MATH1, on the other, seem to have retained a type of proneural activity which is largely no longer needed in flies and vertebrates, respectively (Quan, 2004).

Finally, genes common to protostomes and deuterostomes (including atonal, ngn genes, Notch signaling genes, sens and X-MyT1) most probably derive from the last common bilaterian ancestor. This implies that such an ancestor already possessed all the tools to specify a large diversity of neural cell types and lineages, suggesting a structurally, and consequently behaviorally, complex animal (Quan, 2004).

The proneural proteins Atonal and Scute regulate neural target genes through different E-Box binding sites

For a particular functional family of basic helix-loop-helix (bHLH) transcription factors, there is ample evidence that different factors regulate different target genes but little idea of how these different target genes are distinguished. The contribution was investigated of DNA binding site differences to the specificities of two functionally related proneural bHLH transcription factors required for the genesis of Drosophila sense organ precursors (Atonal and Scute). The proneural target gene, Bearded, is regulated by both Scute and Atonal via distinct E-box consensus binding sites. By comparing with other Ato-dependent enhancer sequences, an Ato-specific binding consensus that differs from the previously defined Scute-specific E-box consensus was defined, thereby defining distinct EAto and ESc sites. These E-box variants are crucial for function: (1) tandem repeats of 20-bp sequences containing EAto and ESc sites are sufficient to confer Atonal- and Scute-specific expression patterns, respectively, on a reporter gene in vivo; (2) interchanging EAto and ESc sites within enhancers almost abolishes enhancer activity. While the latter finding shows that enhancer context is also important in defining how proneural proteins interact with these sites, it is clear that differential utilization of DNA binding sites underlies proneural protein specificity (Powell, 2004).

Ato and Sc must interact with distinct DNA binding sites in vivo. In the target genes analyzed in this study, residues immediately flanking the 6-bp core E box allow the definition of distinct EAto and ESc consensus binding sites for Ato/Da and Sc/Da, respectively. It can be deduced that these variant E boxes consist of half sites, with Sc, Ato, and Da contacting GCAG, AWCAK, and STGK, respectively (proneural core sites underlined). Striking affirmation of binding site differences is provided by the common target gene Brd, which is regulated by Ato and Sc in a modular fashion via distinct E boxes in different enhancers. These E-box variations are crucial for function. They are sufficient to confer proneural protein-specific expression patterns on a GFP reporter gene in isolation from other enhancer sequences. Moreover, interchanging ESc and EAto sites within proneural enhancers almost abolishes enhancer activity and so is almost equivalent to destroying the E box. This shows that the correct proneural regulation of target genes requires the presence of a specific E-box binding site in combination with the selective ability to interact with factors bound to other sites within these enhancers (Powell, 2004).

In vivo DNA binding site differences underlie proneural specificity. Yet, paradoxically, evidence from misexpression and protein structure-function studies has strongly suggested that the target gene specificities of Ato and Sc (and their vertebrate homologues) result from specific interactions with protein cofactors and not from intrinsic differences in how proneural proteins contact DNA. For instance, DNA-contacting residues are shared between the proteins, and consequently, as show in this study, Ato/Da and Sc/Da have identical DNA binding properties in vitro. One way to reconcile these observations is that protein-protein interactions with cofactors may induce DNA binding specificity in proneural proteins by modifying the conformation of the DNA-contacting residues of the bHLH domain. It is also possible that DNA binding itself is not selective in vivo but that occupancy of different DNA binding sites triggers productive or unproductive conformational changes in the proneural proteins that influence their interaction with cofactor proteins. The favored view is that specific cofactor interactions will induce distinctive DNA binding affinities; the conformational changes induced by each may be subtle individually but may be interdependent and mutually reinforcing (Powell, 2004).

Significantly, ato can rescue mutations of its mouse orthologue, Math1, and vice versa, suggesting that DNA site preferences will be conserved among vertebrate orthologues. A number of functional E boxes have been characterized in vertebrate neural-specific genes, and in two cases the interacting bHLH protein is likely to be an Ato orthologue: an autoregulatory site in the Math1 promoter (TCAGCTGG) and a proposed Xath5 site in the 3 nAChr promoter (ACAGCTGG). Thus, in these cases the E boxes match EAto in the 5 flanking base (Powell, 2004).

For correct enhancer function, proneural proteins must interact differentially with other DNA binding factors. Although E-box consensus differences underlie specificity, enhancer context is usually also crucial for this specificity to be manifest. In swapping EAto and ESc sequences between the sc and ato autoregulatory enhancers, in only one case was a corresponding 'swap' in enhancer specificity observed: Ato could be made to regulate the sc-SMC-E enhancer via an EAto site. Otherwise, alteration of E-box flanking bases resulted in a severe loss of enhancer activity. This suggests that recruiting a different proneural protein cannot alone change the function of an enhancer. Correct proneural target enhancer function requires a combination of the correct E-box sequence and the ability to interact with other factors bound to the enhancer. This is reminiscent of the cooperative interaction between MyoD and MEF2 in myogenesis and of interaction between Sc/Da and Pannier/Chip to activate ac in a specific part of the thorax. For the Ato enhancer a requirement for cooperative interaction between Ato/Da and the ETS protein Pointed, bound to a site adjacent to the EAto site has been shown (zur Lage, submitted, cited in Powell, 2004). Similarly, neurogenin 2 interacts with LIM factors during the activation of subtype-specific target genes. The finding that EAto and ESc sites encode much specificity in artificial enhancers suggests that tandem E boxes remove the requirement for interaction with factors bound to other DNA sites, perhaps because cooperative binding between proneural proteins themselves is then sufficient and may even allow the recruitment of cofactors by protein interactions alone. Interestingly, the converse situation may also occur: for both the ato and sc enhancers, there is a low level of expression remaining after swapping of E boxes. This suggests that the original bHLH protein can be recruited to the 'wrong' E-box sequence, inefficiently, by interaction with cofactors. A basis for this can be found with MyoD, where interaction with Sp1 allows MyoD to bind to a nonideal site in the human cardiac alpha-actin promoter (Powell, 2004 and references therein).

Another indication of the importance of enhancer context is that parent enhancers support patterns different from those of the isolated E boxes, at least in the case of Ato. [ato-E1]7-GFP is widely expressed in Ato-specific regions in the embryo, whereas the parent ato-FCO-E enhancer is limited to a small subset of chordotonal SOPs (zur Lage, submitted cited in Powell, 2005). In discs, ato-E1 drives expression relatively poorly in FCO precursors compared with ato-FCO-E. TAKR86C is even more extreme: the TAKR86C enhancer is normally active only in a single embryonic chordotonal precursor (the P cell), but the TAKR86C-E2 site drives Ato-dependent expression in the larval and adult eye and not in the P cell. Clearly, the parent enhancers must have other regulatory inputs that restrict expression (Powell, 2004).

Despite the importance of enhancer context and interaction with other factors, the ESc and EAto sequences support strikingly specific expression patterns when taken out of their enhancers. All tandem repeat E-box constructs tested were activated almost exclusively during PNS neurogenesis, despite the presence of some 24 class A factors in Drosophila. None were activated during CNS neurogenesis, myogenesis, or mesoderm formation, even though AS-C proteins function during the former two processes. In the case of two sites, sc-E1 and ato-E1, expression is remarkably consistent, with regulation solely by Ato or Sc, respectively, in PNS neurogenesis; the sites alone must contain all of the information necessary for specific recognition. It is remarkable that ato-E1 does not respond in vivo to the Ato-related protein Cato or Amos, even though the latter has a basic region almost identical to that of Ato and might be expected to have the same DNA binding properties. The main exception to this specificity is the presence of expression in embryonic ectodermal stripes. These resemble muscle attachment sites, suggesting recognition by the Ato superfamily member Delilah. The conclusion is that tandem duplications can overcome the need for DNA binding sites for other factors. Cooperative binding of proneural proteins may negate the need for cofactor interactions, or, as suggested above, cooperative binding may allow the recruitment of cofactors directly (Powell, 2004).

There are dramatic differences between the two Ato sites tested. Unlike ato-E1, the TAKR86C-E2 site drives expression in only a subset of Ato locations; it appears to be photoreceptor specific despite containing a good class A core E-box match (CAGGTG). This opens up the possibility that there may be different subtypes of Ato binding sites. The spatially restricted recognition of TAKR86C-E2 also implies that cellular context is important in how different sites are recognized. One may speculate, for instance, that eye-specific DNA binding properties of Ato may be conferred by interaction with PAX6 proteins. Interestingly, diversity of E-box expression patterns correlates with variability in the consensus sequences. The ESc consensus sequence (based on some 23 sites) is less variable than the Ato/Da consensus, even though the latter is based on only three sites. It is suggested that regulatory fine-tuning by E-box variation is more important for Ato target genes than for Sc target genes (Powell, 2004).

In summary, the E-box sequences and their flanking bases contain impressively sufficient information for regulation by specific proneural proteins. However, there is further complexity: at least the two Ato sites tested support different patterns and have a different relationship with their parent enhancers. Subtle variations in regulation by proneural proteins may therefore contribute to variations in target gene expression; indeed, there may be no such thing as a typical target site or target gene. This may also be true for common target genes: despite the modular regulation of Brd, the possibility is not ruled out that within the spectrum of proneural E boxes there are some sites that are jointly recognized by Sc and Ato in vivo and that this would be another mechanism for regulating common target genes (Powell, 2004).

Protein Interactions

Like the achaete-scute complex genes, Atonal heterodimerizes with Daughterless protein to bind to E boxes (Jarman, 1993).


atonal: Biological Overview | Evolutionary Homologs | Regulation | Developmental Biology | Effects of Mutation | References

Home page: The Interactive Fly © 1997 Thomas B. Brody, Ph.D.

The Interactive Fly resides on the
Society for Developmental Biology's Web server.