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Copyright © 2006, Cold Spring Harbor Laboratory Press Genome-wide analyses identify transcription factors required for proper morphogenesis of Drosophila sensory neuron dendrites Departments of Physiology and Biochemistry, Howard Hughes Medical Institute, University of California, San Francisco, California 94143, USA 1These authors contributed equally to this work. 2Corresponding author. E-MAIL yuhnung.jan/at/ucsf.edu; FAX (415) 476-5774. Received November 18, 2005; Accepted February 1, 2006. This article has been cited by other articles in PMC.Abstract Dendrite arborization patterns are critical determinants of neuronal function. To explore the basis of transcriptional regulation in dendrite pattern formation, we used RNA interference (RNAi) to screen 730 transcriptional regulators and identified 78 genes involved in patterning the stereotyped dendritic arbors of class I da neurons in Drosophila. Most of these transcriptional regulators affect dendrite morphology without altering the number of class I dendrite arborization (da) neurons and fall primarily into three groups. Group A genes control both primary dendrite extension and lateral branching, hence the overall dendritic field. Nineteen genes within group A act to increase arborization, whereas 20 other genes restrict dendritic coverage. Group B genes appear to balance dendritic outgrowth and branching. Nineteen group B genes function to promote branching rather than outgrowth, and two others have the opposite effects. Finally, 10 group C genes are critical for the routing of the dendritic arbors of individual class I da neurons. Thus, multiple genetic programs operate to calibrate dendritic coverage, to coordinate the elaboration of primary versus secondary branches, and to lay out these dendritic branches in the proper orientation. Keywords: Transcription, RNAi, Drosophila, neuron, dendrite An important problem in nervous system development is how neurons achieve the proper wiring pattern. At the level of a single neuron, the axon projection pattern and dendrite arborization pattern are two critical determinants of neuronal circuitry. Whereas much attention has focused on elucidating basic mechanisms governing axon development, relatively little is known about the genetic programs required for the establishment of dendrite arborization patterns that are hallmarks of distinct neuronal types. The complex developmental processes involved in dendrite morphogenesis have profound functional implications (Jan and Jan 2003). Following the specification of a neurite as dendrite rather than axon, a dendrite must make critical decisions about when, for how long, and in what direction it will grow, as well as when and where to form branches. The resulting dendrite arborization patterns of a neuron determine the number and arrangement of its sensory or synaptic inputs, the extent of segregation of inputs impinging on a dendritic branch or a subdomain of the dendritic arbor, and the way a neuron integrates and processes its inputs (Magee 2000). Therefore it is important to understand how the dendritic branch number, distribution, and length can be controlled during development. The Drosophila peripheral nervous system (PNS) provides a model for systematic analysis of dendrite morphogenesis. The PNS is comprised of several neuronal types including dendrite arborization (da) neurons, multidendritic (md) neurons that are born by mid-embryogenesis and innervate the epidermis (Bodmer et al. 1987). Da neurons can be divided into distinct classes (I–IV) based on their dendrite arborization pattern (Grueber et al. 2002). These da neurons are a suitable model for dissecting dendrite growth, branching, and class-specific specification/arborization because of their stereotyped dendritic pattern. Furthermore, different classes of da neurons may function in distinct sensory modalities, including thermosensation, nociception, and larval locomotion (Ainsley et al. 2003; Liu et al. 2003; Tracey et al. 2003), raising the possibility that features of dendrite arborization could be correlated with specific behaviors. Class I neurons have simple and stereotyped dendritic arbors. Three class I neurons are present in each abdominal hemisegment and two of these, ddaD and ddaE, are located dorsally, whereas the other, vpda, is located ventrally. ddaD and ddaE each elaborate a single primary dendrite that grows dorsally before generating one or two additional primary branches. Subsequently, secondary branches grow laterally, roughly perpindicular to the primary branches (Sugimura et al. 2003). By the end of embryogenesis, the dendritic arbor of class I neurons is stabilized, and very little dynamic behavior is evident at later developmental stages. Dorsal class I neurons occupy distinct regions of the hemisegment with ddaD sending its arbors dorsally and anteriorly, while ddaE arborizes an equivalent area posterior to ddaD (Grueber et al. 2002). Dendritic arbors from ddaD and ddaE normally do not come into contact, suggesting that intrinsic/extrinsic guidance cues target their dendritic arbors to specific receptive fields. These class I da neurons therefore provide a platform for the identification of genes that control dendrite growth, branching, and routing and for the placement and spacing of dendritic fields of individual da neurons. In the vertebrate spinal cord, a Sonic hedgehog-regulated transcriptional cascade of homeodomain transcription factors (TFs) directs differentiation of specific neuronal subtypes (Ericson et al. 1997; Briscoe et al. 2000). Motorneurons in the spinal cord are organized in columns with distinct columnar sets of motorneurons innervating different targets, and this columnar organization is regulated by a Hox (homeobox) gene transcriptional regulatory network (Dasen et al. 2003, 2005). Likewise, LIM homeodomain TFs are required to establish the columnar identity of motorneurons and control type-specific axon projection patterns (Jessell 2000; Shirasaki and Pfaff 2002). When the axons of motorneurons arrive in the vicinity of their targets, induction of ETS family TFs such as Pea3 is required for proper axon-terminal projection and arborization (Livet et al. 2002). Similarly, TFs have important functions in neuronal differentiation in Drosophila. During Drosophila photoreceptor neuron development, runt, the founding member of the runx class of TFs, is required for lamina/medulla axon target choice (Kaminker et al. 2002), and the POU domain TF acj6 is required for Drosophila olfactory receptor neuron axon targeting (Komiyama et al. 2004). Therefore, multiple aspects of neuronal development and differentiation are transcriptionally regulated. Although the mechanisms underlying dendrite development are still largely unknown, evidence supporting an important role for transcriptional regulation is emerging. In the Drosophila PNS, the zinc-finger TF hamlet regulates a binary choice of cell fates between a neuron with a single unbranched dendrite and a multiple-dendrite neuron, the TF sequoia, which is related to the transcriptional repressor tramtrack, regulates dendrite outgrowth, and the BTB/POZ domain TF abrupt and homeodomain TF cut regulate dendrite arborization and branching (Gao et al. 1999; Brenman et al. 2001; Moore et al. 2002; Grueber et al. 2003a; Li et al. 2004; Sugimura et al. 2004). Furthermore, some TFs that regulate neurogenesis in mammals, including Notch1 and NeuroD, have been shown to function in dendrite morphogenesis, demonstrating that some TFs may function at multiple steps in neuron differentiation (Redmond et al. 2000; Gaudilliere et al. 2004). Finally, calciumresponsive dendrite growth requires the TF CREST in the mouse cortex and hippocampus, demonstrating that transcriptional regulation underlies activitydependent dendritic growth (Aizawa et al. 2004). With these examples illustrating the significant roles of transcription regulation in dendrite morphogenesis, one expects that a systematic analysis of TF function should provide insight into multiple aspects of dendrite development. Traditionally, loss-of-function screens in Drosophila have relied on genetic mutants or chromosome aberrations, but such approaches, while extremely valuable, are sometimes complicated by maternal rescue of mutant phenotypes, redundant gene functions, and the time required to achieve saturation mutagenesis. The use of RNA interference (RNAi) to reduce target gene function provides a solution to many of these difficulties and has proven invaluable in Caenorhabditis elegans in the analysis of basic aspects of cell and developmental biology (Poulin et al. 2004). Two recent screens for genes that function in Drosophila embryonic heart development and nervous system development demonstrate the potential application of RNAi screens in the study of organ development in Drosophila (Ivanov et al. 2004; Kim et al. 2004). The importance of transcriptional regulation in a broad range of developmental programs, including neuronal morphogenesis, prompted us to investigate the roles of transcriptional regulators in dendrite development. We have carried out an RNAi screen to identify transcriptional regulators that control and coordinate various aspects of dendrite arborization of Drosophila class I da neurons. Our results demonstrate that TFs regulate multiple distinct aspects of dendrite development. First, transcriptional regulators can either promote or inhibit dendrite arborization, suggesting that antagonistic functions of TFs regulate arborization patterns. Second, some TFs have opposing actions on dendrite growth and branching, suggesting that dendritic branching programs partly entail limiting primary branch extension. Third, routing of class I dendrites is regulated by TFs, suggesting that directed outgrowth of dendrites involves transcriptionally regulated attractive and/or repulsive signaling. Finally, certain TFs not only regulate class I neuron number but may serve additional function in dendrite morphogenesis. These findings provide a framework for transcriptional regulation of dendrite morphogenesis for one neuronal type. Our study also reveals the identity and possible function of genes that may regulate vertebrate neuronal morphogenesis since most of the genes we have identified are conserved genes with no previously known function in dendrite development. Results Class I da neurons are amenable to RNAi-based analysis of dendrite morphogenesis To assay for the stereotyped dendrite arborization pattern of class I da neurons (hereafter referred to as class I neurons) in RNAi-based analysis of dendrite development, we have used a previously described Gal4 enhancer trap line (Gal4221) that is highly expressed in class I neurons and weakly expressed in class IV neurons during embryogenesis (Grueber et al. 2003a). Because of the simple and stereotyped dendritic arborization patterns of ddaD and ddaE, we have focused our studies of dendrite development on these two dorsally located class I neurons. To establish that RNAi is an efficient method to systematically study dendrite development in the Drosophila embryonic PNS, we first demonstrated that injecting embryos with double-stranded RNA (dsRNA) for green fluorescent protein (gfp), but not nonspecific RNA or buffer alone, is sufficient to attenuate Gal-4221-driven expression of an mCD8 GFP fusion protein as measured by confocal microscopy (Fig. 1B,C
RNAi screening uncovers novel regulators of dendrite development To systematically test the function of TFs in dendrite morphogenesis, we generated a library of dsRNAs covering 730 regulators of transcription, injected dsRNAs individually or in a variety of combinations, and assayed for phenotypes blind to the identity of the injected dsRNA(s) (Supplementary Table S1). Without methods to systematically assess the degree of knockdown of target gene expression, it was not possible to establish a quantitative index of phenotypic effects. Therefore we focused our attention on qualitative analysis of phenotypes. As a safeguard against false positives, candidates were chosen for further analysis only after yielding dendrite phenotypes in multiple blind tests. Finally, these candidates have been characterized using multiple independent markers for different cell types, including other neuronal types, muscle and epidermis to assess the neuronal specificity of the RNAi phenotype (Table 1).
RNAi of candidate genes yielded discrete classes of phenotypes affecting branch length, branch number, dendrite arborization pattern, and neuronal number. From multiple independent rounds of RNAi screening (see below), we isolated 76 transcriptional regulators that affect class I dendrite morphogenesis (Table 1). These genes fall into three main functional groups: genes that promote or inhibit arborization by regulating dendrite outgrowth and branching, genes that have opposing functions on dendrite outgrowth and branching, and genes that function in the routing of class I dendrites. Group A TFs that promote arborization through concerted regulation of outgrowth and branching We have identified a group of transcriptional regulators, group A, that controls the size of the dendritic field of class I neurons. RNAi of 19 TFs resulted in reduction of the field size covered by ddaD and ddaE (Table 1). A reduction of coverage could be the result of a net reduction in dendrite outgrowth, branching, or both. As shown in Figure Figure2,2
Although the genes in this class all caused qualitatively similar defects in arborization, some notable phenotypic differences are suggestive of distinct functions for some of these genes in regulating dendrite arborization. RNAi of the nuclear hormone receptors ultraspiracle (usp) and ecdysone receptor (EcR) significantly reduced primary dendrite outgrowth, but caused only modest reduction of lateral branching and lateral branch outgrowth, suggesting that branching is not absolutely dependent on proper outgrowth (Fig. (Fig.2F;2F RNAi of many group A genes resulted in embryonic lethality at a significantly higher rate than control injections (data not shown). Thus, many of these genes are likely essential for embryonic development, either due to their involvement in regulating neuronal morphogenesis or due to other aspects of their functions. Group A transcriptional regulators that restrict dendrite arborization In addition to genes with functions in promoting dendrite arborization, we identified 20 group A genes that regulate dendrite arborization by limiting dendrite growth and/or branching. Consistent with recent reports that loss of function of the BTB/POZ domain TF abrupt (ab) causes an increase in dendritic branching and altered distribution of branches (Li et al. 2004; Sugimura et al. 2004), we found that ab(RNAi) altered the arborization of class I dendrites. As shown in Figure Figure3B,3B
Increased dendritic branching also resulted from RNAi of several genes known to affect nervous system development, including Adh transcription factor 1 (Adf1), the zinc finger TF nervy (nvy), the basic helix–loop–helix (bHLH) TF deadpan (dpn), as well as genes not previously known to affect neuronal function, such as the putative transcription elongation factor Elongin c (Table 1; Fig. Fig.9,9
RNAi of the Polycomb group (PcG) genes Su(z)12, E(z), esc, or Caf1 similarly caused an increase in branch number and an expansion of the receptive field of class I neurons (Fig. (Fig.3C;3C RNAi of several genes affected dendrite arborization primarily by causing an increase in dorsal and lateral dendrite extension without significantly affecting branch number (Table 1). For example, RNAi of the putative transcriptional repressor cg5684 caused dorsal overextension of the primary dendrite in ddaE and an overall increase in dendritic length in both ddaD and ddaE (Fig. (Fig.3D).3D Group B TFs with opposing actions on dendrite outgrowth and branching shape dendrite arbors In contrast to the genes that coordinately affect dorsal dendrite outgrowth and lateral branching/outgrowth, we identified a group of 21 genes (group B) that have opposing effects on dendrite outgrowth and branching, suggesting that dendrite outgrowth and branching might partially antagonize one another. RNAi of 19 of these genes resulted in dorsal overextension of primary dendrites and a reduction in lateral branching/lateral branch extension (Figure 4B–D
In addition to the effects on primary dendrite extension, RNAi of each of these 18 genes limits the number and length of lateral dendrite branches. As mentioned above, RNAi of some genes such as snail or knirps almost completely blocked dendrite branching, whereas RNAi of other genes such l(3)mbt had more modest effects on dendrite branching. In addition, we noticed a significant reduction of branching at the distal tip of the dorsally projected primary dendrite. In control treated stage 17 embryos, branchpoints are distributed along the primary dendrite, with the most distal branchpoint usually located within a few microns of the distal tip of the dendrite (Fig. (Fig.4A).4A In addition to identifying a large class of TFs that inhibit primary branch extension and promote lateral branching, we have also found that TFs promote dendrite extension and limit dendrite branching. RNAi of two genes, glial cells missing 2 (gcm2) and the histone acetyltransferase pcaf, caused an increase in lateral branching and a marked reduction in dorsal extension of ddaE (Fig. 4E,F Group C TFs regulate dendrite routing Proper dendritic routing is important for primary dendrites of ddaD and ddaE to grow in parallel toward the dorsal midline without crossing each other and for secondary branches of ddaD and ddaE to avoid the space between ddaD and ddaE (Fig. (Fig.5A).5A
It is also worth noting that RNAi treatment that caused reduced dendritic outgrowth often caused minor routing defects. For example, pyg(RNAi) or cg1841(RNAi) caused inappropriate routing of ddaE (Fig. 2C,D TFs likely exert distinct mitotic and post-mitotic functions to regulate neuron morphogenesis TFs play critical roles in neurogenesis, and some genes that regulate neurogenesis also affect post-mitotic neuronal differentiation. Because clones of duplicated class I neurons have wild-type dendrite arborization patterns, class I dendritic arbors appear to be insensitive to cell number defects (Grueber et al. 2003b). Indeed, dendrite arborization of class I neurons in embryos carrying the temperature-sensitive neurogenic mutation Notchts (Nts) is unaffected by as much as a fivefold increase in class I neuron number (Fig. 6A–D
RNAi of several genes affected the number of class I neurons as well as morphogenesis of class I dendrites; RNAi of seven genes caused supernumerary cells and RNAi of four genes caused high penetrance cell loss in addition to dendrite defects (Fig. (Fig.6;6 In addition to the seven genes that function to restrict class I neuron number and control dendrite morphology, three other genes are required to maintain the number of class I neurons. Reduction of their function caused a reduction of class I neurons and defects in dendrite morphogenesis in the remaining neurons (Table 1). For example, RNAi of the zinc finger TF senseless (sens) reduced the number of class I neurons, consistent with previous findings that sens is required for development of most cells in the PNS (Nolo et al. 2000). In addition, sens(RNAi) or a sens loss-of-function mutation caused an increase in dendrite outgrowth and mixing of dendrites in segments with both ddaD and ddaE present (see Figure Figure8,8 Finally, we found one gene that appears to be essential for a subset of class I da neurons. RNAi of cubitus interruptus (ci), a component of the hedgehog signaling pathway, caused a loss of dorsal class I da neurons without affecting the ventral class I neuron vpda (Fig. (Fig.6G).6G Reproducibility of RNAi screen To reduce the likelihood of identifying false positives and to determine whether different RNAi protocols yield different results, we have conducted multiple independent screens. Overall, each transcriptional regulator was represented in at least two, and as many as five, distinct screens, and the majority of positive candidates were isolated from multiple screens. Results from three screens with distinct injection protocols are depicted in Figure Figure7.7
As one measure of confidence for our results, we analyzed known expression patterns for our candidates. Consistent with a function in neuron morphogenesis, 91% (51/57; no expression data for other genes) of the candidate genes are expressed in the embryonic CNS and/or PNS (Supplementary Table S3). Genetic mutants have been isolated for 45 of the candidates, but only 24 of these have known functions in embryonic nervous system development. Finally, only one of the candidates, abrupt, has a known function in PNS dendrite development, while two other genes, ecdysone receptor and ultraspiracle, have been implicated in mushroom body dendrite development (Lee et al. 2000; Li et al. 2004; Sugimura et al. 2004). Almost all of these candidates are evolutionarily conserved and have at least one putative mammalian homolog (Table 2), raising the possibility that the majority of these genes function in conserved processes regulating dendrite morphogenesis.
To explore the possibility that the dendrite phenotypes result from defects in neighboring tissues such as the muscle and epidermis or reflect an overall defect in PNS development, we have carried out RNAi of candidate genes using GFP markers that label muscle, epidermis, or all md neurons. In addition, we analyzed the organization of the embryonic nervous system in mutant alleles of 40 of the candidate genes. In general, we found no correlation between any class of dendrite phenotypes and defects in muscle, epidermis, or nervous system morphogenesis, or md neuron number/position (Table 1). However, RNAi of several genes affected muscle, epidermis, and/or PNS organization (Table 1). For this subset of TFs, it remains to be determined whether they directly or indirectly influence dendrite morphogenesis. In general, mosaic analysis with genetic mutants will be required to unambiguously determine whether each of the TFs functions cell autonomously to regulate dendrite development. RNAi phenotypes of many candidates are confirmed by loss-of-function mutant phenotypes To assess the accuracy of our screen, we investigated whether RNAi phenotypes phenocopy loss-of-function mutants in candidate genes with available alleles. Mutant alleles of 27 of 32 genes analyzed affect da neuron development (Figs. (Figs.8,8 In some cases, the penetrance or timing of phenotypes in mutant alleles differs from those seen with RNAi, and alleles of five genes (brm, gro, tgo, Trap100, and trh) showed little or no effect on class I dendrite development. Strong loss-of-function alleles of two of these genes, groucho and the SWI/SNF homolog brahma, showed only mild defects in class I dendrite development, and strong maternal contributions have been reported for both of these genes. The only available allele of Trap100 is likely a hypomorph, and Trap100 is also likely maternally deposited (data not shown); further analyses will be required to determine whether maternal contributions provide the necessary functions each of these genes in embryonic dendrite development. Some TFs are continuously required to regulate class I dendrite morphology As another indication of the hypomorphic nature of many of the alleles and maternal rescue of gene function in mutant embryos, we focused on dendrite defects that were first apparent during larval stages (Fig. (Fig.9;9 RNAi of some group A genes that cause reduced dendrite outgrowth and branching is epistatic to mutation of ab or sens Since group A and B TFs regulate aspects of dendritic growth and branching, we wanted to explore potential epistatic relationships among TFs in these phenotypic classes. To do this, we used RNAi to knockdown expression of select TFs in Drosophila embryos carrying a loss-of-function mutation in either the group B/C gene senseless (sens) or the group A gene abrupt (ab). As described above, sens mutant class I dendrites overextend dorsally and have reduced lateral branching in addition to routing defects (Fig. (Fig.8F)8F
RNAi of group A genes either promoted or antagonized dendrite arborization; therefore, we wanted to determine the effect of simultaneously disrupting one group A gene that promoted and one group A gene that antagonized dendrite outgrowth and lateral branching. As described above, RNAi or a loss-of-function mutant of the group A gene ab caused increased dendritic branching and extension of class I dendrites. In addition, mutation of ab caused a significant reduction in the number of class I neurons labeled by Gal4221 that was most pronounced in the dorsal cluster of PNS neurons, consistent with the results from our RNAi experiments. To facilitate epistasis analysis in ab mutants, we have assayed for dendrite arborization effects in vpda, the ventrally located class I neuron. RNAi of the group A gene hmgD, which caused reduced primary dendrite outgrowth and reduced lateral branching when injected into wild-type embryos, caused a striking reduction in the number of dendritic branches and size of the receptive field of vpda in ab mutants (Fig. 10F–G Discussion Conserved TFs regulate dendrite arborization, coordinate primary dendrite growth and lateral branching, and regulate dendrite routing To investigate the role of TFs in regulating dendrite development, we have systematically reduced TF function in Drosophila using RNAi and monitored the effects on dendrite development in class I da neurons. We found that >70 TFs play essential roles in the development of the stereotyped class I dendritic arbors. These TFs fall into three functional groups and hence provide insights about the underlying logic for dendrite development. Group A genes control both primary dendrite extension and branching, group B genes have opposing effects on primary branch extension and branching, and group C genes are required for proper routing of dendrites. Each of these genes is required for normal dendrite development during embryogenesis, and some of these genes continue to exert their influence over dendrite development beyond embryogenesis, after the basic dendrite patterns have been laid out. Most of these genes have not been implicated in dendrite development prior to this study, though most are expressed in neurons. Recently, it has been reported that >300 different TFs show restricted spatio-temporal expression patterns in the mouse brain (Gray et al. 2004). These TFs serve largely unknown functions in neural development, but given the fact that the majority of the TFs we have identified are evolutionarily conserved (Table 2), it should be possible to combine mouse expression analysis with our functional studies to identify candidate TFs that regulate the dendrite morphology of specific neuronal types in the mouse brain. Interesting layers of regulatory mechanisms are likely under the control of the three groups of TFs, to specify overall dendritic growth, the balance between dendritic extension and branching, and dendritic placement. One large group of TFs (group A) has similar effects on both primary dendrite outgrowth and secondary branch extension, perhaps by regulating the basic building blocks of dendrite formation. A second group of TFs either enhance dendrite outgrowth at the expense of branching or vice versa (group B), demonstrating that, whereas these processes may utilize some of the same machinery, there are genetic programs that coordinate dendrite outgrowth with branching to limit overall dendrite growth and perhaps to temporally regulate dorsal versus lateral growth to conserve the total expanse of the dendrites. In addition to these TFs that regulate the branching pattern and dendrite length, we found that a third group (group C) is necessary for dendrite routing, presumably by interpreting positional cues and signals from surrounding cells. hox genes may contribute to regulation of dendrite arborization The functional links of several group A genes to hox genes suggest that hox genes may contribute to regulation of the extent of dendrite arborization. Among our candidates, E(bx) and Iswi are components of the multiprotein nucleosome remodeling complex (NURF), which is known to be essential for expression of the hox gene ultrabithorax (ubx) in eye imaginal discs (Badenhorst et al. 2002), and Su(z)12, esc, E(z), Rpd3, and Caf1 are components of the Esc/E(z) silencing complex, which functions broadly to repress hox gene expression (Tie et al. 2001; Czermin et al. 2002; Muller et al. 2002) and other target genes. Another group A gene, nervy, is regulated by Ubx and is broadly expressed in neurons, suggesting that hox genes may function in neurons to regulate dendrite arborization (Feinstein et al. 1995). It thus appears that proper regulation of hox gene expression might be important for dendritic arborization. Coordination of primary dendrite growth and lateral branching involves transcriptional silencing Our phenotypic analysis of group B genes indicates that primary branch extension and lateral branch outgrowth at least partially antagonize one another. The majority of the group B genes function in transcriptional repression, suggesting that transcriptional repression is likely an important mechanism underlying this antagonism. Group B transcriptional repressors include TFs such as Tramtrack, Runt, and Groucho that mediate long-range repression involving histone deacetylation, which could be mediated by the Sin3a–Rpd3 deacetylase complex or possibly Sirt2, the Drosophila homolog of the yeast histone deacetylase Sir2. Furthermore, many of these genes may function together in a concerted pathway. For example, Tramtrack and Runt function together to establish repression of the segmentation gene engrailed and Runt recruits the corepressor Groucho to maintain this repression (Wheeler et al. 2002). Multiple components of the transcriptional Mediator (Med21, Trap100, and Trap36) were identified as group B genes and interactions between yeast Tup1 and C. elegans Unc-37, Groucho homologs, and the Mediator suggest that recruitment of the Mediator may contribute to Groucho-mediated redendrite arborizationpression as well (Papamichos-Chronakis et al. 2000; Zhang and Emmons 2002). Therefore, target genes that normally promote outgrowth and limit branching may be targets of Groucho-mediated repression. Other group B TFs, such as Snail, Knirps, and the Snail-related TF Worniu, mediate short-range repression, which provides a way of silencing a particular enhancer of a target locus (Courey and Jia 2001). The use of multiple repressors could allow different sets of target genes to be repressed at different times or in response to different signals, and the use of both long-range and short-range repressors could reflect a need for global regulation of some genes (long range) and more nuanced silencing of other genes in a particular place or time (short range). Taken together, the multiple repressors included among the group B genes allow for flexibility in regulation that may be required for proper coupling of dorsal dendrite outgrowth and lateral branching. What signals regulate class I dendrite routing? As with the number and length of class I dendritic branches, the position and direction of growth of class I dendrites are transcriptionally regulated. The ability of the primary dendrites of ddaD and ddaE to grow dorsally in parallel without crossing one another is controlled by different sets of genes, for nonoverlapping dendritic coverage and for proper orientation of dendrites. First, at least four genes (sens, bap55, cg1244, and cg7417) are necessary to prevent inappropriate crossing of ddaD and ddaE primary dendrites. In principle, the primary dendrite trajectory of ddaD and ddaE could be regulated by heteroneural repulsion that prevents the primary dendrites from crossing. However, class I dendrites are unaffected by removal of neighboring class I neurons or addition of supernumerary class I neurons. It thus seems likely that cues from other cell types contribute to the segregation of these dendrites. Second, several other genes ensure that ddaD and ddaE arborize the anterior or posterior portion of the hemisegment, respectively, perhaps by providing the secondary lateral branches with the capacity to respond to positional information along the AP axis. Third, our results indicate that the Brahma complex likely plays a key role in the dorsal routing of class I primary dendrites. Interestingly, the Brahma complex has been shown to regulate expression of decapentaplegic (dpp) in wing imaginal discs (Marenda et al. 2004) and dpp is involved in dorsalization during embryogenesis. Moreover, knirps(RNAi) also caused low penetrance dorsal routing defects, and knirps is required for dpp-mediated regulation of tracheal development (Chen et al. 1998). Thus, several links exist between TFs required for proper routing of class I dendrites and dpp. Additional applications for RNAi-based analysis of dendrite morphogenesis In this study we focused on transcriptional regulation of dendrite morphogenesis in class I da neurons. The RNAi screen developed in this study could potentially be adapted in future studies to address questions such as how different types of neurons specify their distinct arborization patterns. It is possible that the combined action of multiple TFs regulates the type-specific dendritic branching of different classes of md neurons. For example, highly branched neurons express high levels of Cut without expressing Abrupt, whereas md neurons with simple dendritic arbors express Abrupt but not Cut (Grueber et al. 2003a; Li et al. 2004; Sugimura et al. 2004). Furthermore, it is possible that a given TF functions differently in distinct neuronal types to regulate dendrite development. Our exhaustive analysis of transcriptional regulation of type I dendrite development provides an entry point to the analysis of type-specific dendrite development and provides a basis for comparison for similar studies in other systems. Materials and methods Drosophila stocks We used Gal4221, UAS-mCD8 GFP to visualize class I dendrites (Grueber et al. 2003a). Gal4109(2)80, UAS-GFP (Gao et al. 1999), and Wee-P26:GFP:Mhc (Clyne et al. 2003) flies are as described. Arm GFPWeeP was kindly provided by Fabrice Roegiers (Fox Chase Cancer Center, Philadelphia, PA).dsRNA synthesis Putative regulators of transcription were identified based on gene ontology (GO) annotation. DNA templates (300–700 base pairs) for in vitro transcription were generated via two rounds of PCR, initially using gene-specific primers (Supplementary Table S1) with a 5′ GC-rich anchor (GGGCGG) and subsequently using a universal primer containing the T7 RNA polymerase promoter followed by the GC-rich anchor (Foley and O’Farrell 2004). dsRNAs were generated from these templates from in vitro transcription reactions carried out overnight at 37°C and were annealed by heating to 65°C and slowly cooling to room temperature. All products were tested for size and yield. Injection and RNAi screening Injections were essentially as described (Kennerdell and Carthew 1998). Embryos were collected on grape juice agar plates for 45 min at 25°C, dechorionated for 2 min in 50% Clorox bleach, washed with distilled water, desiccated on double-sided tape, and covered with Halocarbon 95 oil. dsRNAs were injected into syncytial blastoderm embryos with RNase-free glass capillaries reaching to ~50% egg length using a Picospritzer II (General Valve Inc.). Injected embryos were aged to stages 16 and 17 under oil at 18°C in a moist chamber, and dendrites in abdominal segments A2–A6 were imaged live with a Bio-Rad MRC600 confocal microscope. All dsRNA samples were coded; injection and screening were performed double blind. Time-lapse analysis First instar larvae were covered with 90% glycerol in PBS under a 50 × 22 mm coverslip and then imaged on a Bio-Rad MRC600 confocal microscope. The larvae were recovered with forceps for further development until the next time point and were transferred to a grape juice agar plate. Acknowledgments We thank Edan Foley, Pat O’Farrell, Ron Vale, and Graehme Davis for dsRNA templates and advice on RNAi; Daniel Cox, Fabrice Roegiers, Rebecca Yang, and Susan Younger for fly stocks; the Bloomington and Szeged stock centers for fly stocks; and the Developmental Studies Hybridoma Bank for antibodies. We also thank the many laboratories that have provided fly stocks and antibodies for these studies, including Jurg Muller, Cristos Delidakos, Kryzysztof Jagla, John Tamkun, Alex Kolodkin, Ethan Bier, Andrew Dingwall, Susumu Hirose, J. Peter Gergen, Daisuke Yamamoto, Ruth Lehmann, Hugo Bellen, and Marcus Noll. Finally, we thank members of the Jan laboratory for helpful discussions. This work was supported by a Ruth L. Kirschstein NRSA post-doctoral fellowship to J.Z.P. and NIH grant R01 NS40929 to Y.N.J. L.Y.J. and Y.N.J. are Investigators of the Howard Hughes Medical Institute. Footnotes Supplemental material is available at http://www.genesdev.org. Article published online ahead of print. Article and publication date are at http://www.genesdev.org/cgi/doi/10.1101/gad.1391006 References
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Neuron. 2003 Oct 9; 40(2):229-42.
[Neuron. 2003]Nat Rev Neurosci. 2000 Dec; 1(3):181-90.
[Nat Rev Neurosci. 2000]Cell. 1987 Oct 23; 51(2):293-307.
[Cell. 1987]Development. 2002 Jun; 129(12):2867-78.
[Development. 2002]Curr Biol. 2003 Sep 2; 13(17):1557-63.
[Curr Biol. 2003]Nat Neurosci. 2003 Mar; 6(3):267-73.
[Nat Neurosci. 2003]Cell. 2003 Apr 18; 113(2):261-73.
[Cell. 2003]J Neurosci. 2003 May 1; 23(9):3752-60.
[J Neurosci. 2003]Development. 2002 Jun; 129(12):2867-78.
[Development. 2002]Cold Spring Harb Symp Quant Biol. 1997; 62():451-66.
[Cold Spring Harb Symp Quant Biol. 1997]Cell. 2000 May 12; 101(4):435-45.
[Cell. 2000]Nature. 2003 Oct 30; 425(6961):926-33.
[Nature. 2003]Cell. 2005 Nov 4; 123(3):477-91.
[Cell. 2005]Nat Rev Genet. 2000 Oct; 1(1):20-9.
[Nat Rev Genet. 2000]Genes Dev. 1999 Oct 1; 13(19):2549-61.
[Genes Dev. 1999]Dev Cell. 2001 Nov; 1(5):667-77.
[Dev Cell. 2001]Science. 2002 Aug 23; 297(5585):1355-8.
[Science. 2002]Cell. 2003 Mar 21; 112(6):805-18.
[Cell. 2003]Neuron. 2004 Sep 16; 43(6):823-34.
[Neuron. 2004]Oncogene. 2004 Nov 1; 23(51):8340-5.
[Oncogene. 2004]Proc Natl Acad Sci U S A. 2004 Nov 16; 101(46):16216-21.
[Proc Natl Acad Sci U S A. 2004]Proc Natl Acad Sci U S A. 2004 Jan 6; 101(1):159-64.
[Proc Natl Acad Sci U S A. 2004]Cell. 2003 Mar 21; 112(6):805-18.
[Cell. 2003]Genes Dev. 1999 Oct 1; 13(19):2549-61.
[Genes Dev. 1999]Dev Cell. 2001 Nov; 1(5):667-77.
[Dev Cell. 2001]Science. 2002 Aug 23; 297(5585):1355-8.
[Science. 2002]Proc Natl Acad Sci U S A. 2005 Mar 8; 102(10):3834-9.
[Proc Natl Acad Sci U S A. 2005]Neuron. 2004 Sep 16; 43(6):823-34.
[Neuron. 2004]Neuron. 2004 Sep 16; 43(6):809-22.
[Neuron. 2004]Curr Biol. 2003 Sep 2; 13(17):1557-63.
[Curr Biol. 2003]Genes Dev. 1992 Nov; 6(11):2137-51.
[Genes Dev. 1992]Genetics. 1995 Jun; 140(2):573-86.
[Genetics. 1995]Science. 2004 Feb 20; 303(5661):1204-7.
[Science. 2004]Int J Clin Oncol. 2004 Aug; 9(4):283-7.
[Int J Clin Oncol. 2004]Curr Biol. 2003 Apr 15; 13(8):618-26.
[Curr Biol. 2003]Cell. 2000 Aug 4; 102(3):349-62.
[Cell. 2000]Cell. 1993 Jul 2; 73(7):1307-21.
[Cell. 1993]Neuron. 2000 Mar; 25(3):549-61.
[Neuron. 2000]Neuron. 2000 Dec; 28(3):807-18.
[Neuron. 2000]Neuron. 2004 Sep 16; 43(6):823-34.
[Neuron. 2004]Neuron. 2004 Sep 16; 43(6):809-22.
[Neuron. 2004]Science. 2004 Dec 24; 306(5705):2255-7.
[Science. 2004]Genes Dev. 2002 Dec 15; 16(24):3186-98.
[Genes Dev. 2002]Development. 2001 Jan; 128(2):275-86.
[Development. 2001]Cell. 2002 Oct 18; 111(2):185-96.
[Cell. 2002]Cell. 2002 Oct 18; 111(2):197-208.
[Cell. 2002]Genetics. 1995 Jun; 140(2):573-86.
[Genetics. 1995]Nat Genet. 2002 Sep; 32(1):206-10.
[Nat Genet. 2002]J Biol Chem. 2000 Mar 24; 275(12):8397-403.
[J Biol Chem. 2000]Genetics. 2002 Feb; 160(2):799-803.
[Genetics. 2002]Genes Dev. 2001 Nov 1; 15(21):2786-96.
[Genes Dev. 2001]Dev Biol. 2004 Mar 15; 267(2):279-93.
[Dev Biol. 2004]Development. 1998 Dec; 125(24):4959-68.
[Development. 1998]Cell. 2003 Mar 21; 112(6):805-18.
[Cell. 2003]Neuron. 2004 Sep 16; 43(6):823-34.
[Neuron. 2004]Neuron. 2004 Sep 16; 43(6):809-22.
[Neuron. 2004]Cell. 2003 Mar 21; 112(6):805-18.
[Cell. 2003]Genes Dev. 1999 Oct 1; 13(19):2549-61.
[Genes Dev. 1999]Genetics. 2003 Nov; 165(3):1433-41.
[Genetics. 2003]PLoS Biol. 2004 Aug; 2(8):E203.
[PLoS Biol. 2004]Cell. 1998 Dec 23; 95(7):1017-26.
[Cell. 1998]