Abstract
In most animals, the majority of the nervous system is generated and assembled into neuronal circuits during embryonic development 1. However, during juvenile stages, nervous systems still undergo extensive anatomical and functional changes to eventually form a fully mature nervous system by the adult stage 2,3. The molecular changes in post-mitotic neurons across post-embryonic development and the genetic programs that control these temporal transitions are not well understood 4,5. Using the model system C. elegans, we comprehensively characterized the distinct functional states (locomotor behavior) and corresponding distinct molecular states (transcriptome) of the post-mitotic nervous system across temporal transitions during postembryonic development. We observed pervasive, neuron type-specific changes in gene expression, many of which are controlled by the developmental upregulation of the conserved heterochronic miRNA lin-4 and the subsequent promotion of a mature neuronal transcriptional program through the repression of its target, the transcription factor lin-14. The functional relevance of these molecular transitions are exemplified by a temporally regulated target gene of the lin-14 transcription factor, nlp-45, a neuropeptide-encoding gene, which we find to be required for several distinct temporal transitions in exploratory activity during postembryonic development. Our study provides new insights into regulatory strategies that control neuron-type specific gene batteries to modulate distinct behavioral states across temporal, sexual and environmental dimensions of post-embryonic development.
In most non-metamorphosing invertebrates and vertebrates, including mammals, the majority of neurons of the adult nervous system are born and differentiate during embryogenesis, forming a functional, yet immature nervous system by the time of birth/hatch 1. During postembryonic stages of life, juvenile nervous systems undergo substantial maturation events that have mostly been characterized on the anatomical and electrophysiological level 2,3. However, there have been few systematic efforts to characterize the molecular changes within post-mitotic neurons during postembryonic development 4,5. It also remains unclear whether post-embryonic, post-mitotic maturation of neurons is mostly a reflection of neuronal activity changes 6,7 or whether there are activity-independent genetic programs that mediate these temporal transitions. Earlier acting genetic programs that control the specification of the temporal identity of dividing neuroblasts have been characterized in both vertebrates and Drosophila 8–11. However, genetic programs that may specify temporal transitions in post-mitotic neurons during post-embryonic development have remained more elusive.
At hatching, the juvenile nervous system of the nematode C. elegans contains the vast majority of its adult set of neurons (97 out of 118 hermaphrodite neuron classes), most of which are fully differentiated and wired into a functional nervous system 12. To systematically characterize potential changes in nervous system function during post-embryonic neuronal development, we profiled locomotor behavior across all four larval and the adult stage of the hermaphrodite using an automated, high resolution worm tracking system 13. We observed pervasive changes across throughout all four larval stages into adulthood (Fig. 1a, Supplementary Table 1). For example, animals at the second larval (L2) stage exhibited increased pausing and dwelling behavior compared to animals at the first larval (L1) stage while adult animals exhibited increased forward motion and decreased backward motion compared to animals at the last larval stage (L4).
Distinct behavioral states across post-embryonic life stages, as well as the recently described synaptic wiring changes across post-embryonic development 12, suggest the existence temporal transitions in molecular states. We profiled the transcriptome of the entire nervous system using INTACT technology 14 during all post-embryonic stages and identified 7974 neuronally-enriched genes with temporal changes (Extended Data Fig.1a, Supplementary Table 2,3). Principal-component analysis revealed that the neuronal transcriptome of each developmental stage clustered together and was distinct from the other stages (Fig. 1b,c, Extended Data Fig.1b–d, Supplementary Discussion). Gene ontology analysis of the developmentally regulated genes revealed an expected enrichment in nervous system-associated genes (Extended Data Fig.1e–j, Supplementary Table 4,5). Specific gene families were overrepresented amongst the developmentally regulated genes, including neuropeptides, receptor-type guanylyl cyclases (rGC), zinc-finger transcription factors and cell adhesion molecules which may drive the recently reported changes in synaptic wiring occurring during postembryonic development 12 (Fig. 1d).
Due to the panneuronal nature of our profiling, increases or decreases in gene expression could entail binary on/off switches in individual neuron types and/or relative changes in levels of expression in the same set of neurons. Using gene expression reporters that detect changes with single neuron resolution (many of them endogenous reporter alleles engineered with CRISPR/Cas9 technology), we found ample evidence for both scenarios and near perfect validation of our RNA-seq dataset (Extended Data Fig.2–4, Supplementary Table 6). For example, expression of the glutamate receptor gbb-2 decreased in all expressing cells throughout larval development (Extended Data Fig.2a), while expression of the innexin inx-19 was progressively lost from specific neuron types throughout larval stages (Extended Data Fig.2b). Moreover, we detected uniform changes of broadly expressed genes (i.e. mab-10, Extended Data Fig.2c) and, on the opposite end of the spectrum, changes of very restrictively expressed genes with up- or down-regulation in small subset of neurons or even a single neuron class (e.g. ins-6, Extended Data Fig.3c). Additional validations of neuron type-specific changes that recapitulate all major patterns of developmental regulation are documented in Extended Data Fig.2–4 and Supplementary Table 6. Changes were observed in neurons of all major types.
To investigate the regulation of these temporal transitions, we considered the heterochronic pathway, a cascade of microRNAs, RNA-binding proteins, and transcription factors initially discovered for their regulation of temporal developmental progression in mitotic ectodermal lineages and reproductive system 15–18. Upregulation of the conserved microRNA lin-4 at the L1 to L2 transition, promotes later stage cellular identities and suppresses early (L1/juvenile) identities, via 3’UTR-mediated downregulation of its direct target, the transcription factor LIN-14 17,18 (Fig. 2a). Using fosmid based reporter gene and/or CRISPR/Cas9-engineered reporter alleles we validated the expression dynamics of lin-4 and lin-14 in the context of the nervous system (Extended Data Fig.5).
Consistent with the notion that lin-14 promotes a juvenile state of neuronal function that is suppressed by lin-4 in later stages, we find that behavioral transitions in exploratory activity were partially juvenized (decreased dwelling/increased exploration) in lin-4 mutants and that forced neuronal expression of lin-4 at the L1 stage caused a precocious decrease in exploratory behavior (Fig. 2b). Moreover, lin-14(ma135) null animals significantly reduced their exploratory behavior, and this effect was rescued by re-supplying lin-14 (Fig. 2c).
To assess the effect of lin-4 and lin-14 on molecular transitions in the neuronal transcriptome, we again used INTACT and observed a juvenization of a subset of the neuronal transcriptome in adult lin-4 mutant adults (Fig. 2d, Extended Data Fig.6a–d, Supplementary Table 7, Supplementary Discussion). An engineered lin-14 gain of function allele that is unresponsive to lin-4 (Extended Data Fig.5b) largely recapitulated the juvenizing effect of the lin-4 null mutation (Fig. 2d, Extended Data Fig.6a–d), demonstrating that lin-4 acts through lin-14 to affect the neuronal transcriptome. The lack of developmental regulation of other subsets of genes by lin-4 and lin-14 mutations (Extended Data Fig.7) suggested that there must be additional mechanisms beyond lin-4 and lin-14 triggered heterochronic pathway that regulate the temporal transition of the nervous system across development.
To further investigate the role of lin-14 in the maturation of neuronal transcriptome, we identified genomic sites of direct LIN-14 binding in L1 and L2 animals using ChIP-seq (Extended Data Fig.8a, Supplementary Table 8, 9, Supplementary Discussion). Motif analysis identified YGGAR as a consensus binding sequence for LIN-14 (Extended Data Fig.8b). Amalgamating different methods of differential binding analysis resulted in 3466 neuronally-enriched genes that showed decreased LIN-14 binding within 3kb of the TSS across the L1->L2 transition (Extended Data Fig.8c, Supplementary Table 10–11). This overlapped with 60% of lin-4/lin-14 controlled developmentally upregulated genes (where LIN-14 acts as a repressor) and 49% of lin-4/lin-14 controlled developmentally downregulated genes (where LIN-14 acts as an activator) (Extended Data Fig.8c–e).
To explore the impact of lin-4 and lin-14 on neuron-specific gene expression patterns with single neuron resolution, we examined four neuropeptide-encoding genes (using CRISPR/Cas9-engineered reporter alleles) and one rGC-encoding gene, whose developmental regulation were predicted by our transcriptome and ChIP-seq data to be controlled by lin-4 and lin-14 (Fig. 3a, Extended Data Fig.9, Supplementary Table 12). Our focus on neuropeptides was motivated by the over-representation of neuropeptides in our developmentally regulated gene battery (Fig. 1d, Extended Data Fig.3) and by their well-known function as modulators of transitions between discrete behavioral states 19,20. We observed highly neuron type-specific effects of lin-4/lin-14 on the expression of the analyzed genes (Fig. 3a, Extended Data Fig.9, Supplementary Table 12). For example, at hatching, the gfp-tagged neuropeptide nlp-45 was primarily expressed in the RIA interneuron but expression was turned on in additional sets of neurons at subsequent development stage transitions (Fig. 3a, Extended Data Fig.3b). In the lin-4 null mutant, we observed a “juvenized” pattern of nlp-45 expression as predicted by our transcriptome profiling experiment: expression remained largely restricted to the RIA interneuron throughout development (Fig. 3a). Similarly, in the lin-14(ot1087) gain of function mutant, we observed a recapitulation of the juvenized expression pattern as observed in the lin-4 null mutant (Fig. 3a). Conversely, in the lin-14(ma135) null mutant, cells that typically expressed nlp-45 at later stages showed expression at the L1 stage (Fig. 3a).
Other neuropeptides, as well as the rGC gcy-12, revealed lin-4/lin-14-dependent temporal dynamics of these genes in other individual neuron types (Extended Data Fig.9b–e, Supplementary Table 12). LIN-14 can act as a repressor on the same gene in some neuronal subtypes and as an activator in another neuronal subtype (Extended Data Fig.9c), as revealed by gfp-tagged neuropeptide flp-14. Differential recruitment of additional cofactors may dictate the transcriptional readout of LIN-14 activity.
We used neuropeptide nlp-45 as a paradigm to link temporally controlled gene expression changes to changes in animal behavior. One of the more dramatic transitions in nlp-45 expression in hermaphrodites was the transition between L1 and later larval stages, when expression broadened from RIA to additional sets of neurons (Fig. 3a, Extended Data Fig.3b). One of the locomotor behavioral parameters modulated during this temporal transition was the increased dwelling behavior of L2 stage animals compared to L1 stage animals (Fig. 1a, 2b, Extended Data Fig.10a,b, Supplementary Table 1). Two different engineered deletion alleles of nlp-45 resulted in a stage specific increase in exploratory behavior only observed for L2, and not L1, animals (Fig. 3b, Extended Data Fig.10a). Transgenic expression of nlp-45 in either the RMDD/V or RIA neurons reversed the increased exploratory behavior of L2 nlp-45 mutants to that of L2 control (N2) animals (Fig. 3b). The ectopic/overexpression of nlp-45 in either the RMDD/V or RIA neurons in L1 stage animals (where normally only RIA expresses nlp-45) further reduced exploratory behavior below that of L1 controls (Fig. 3b). Consistent with nlp-45 being a critical effector of the heterochronic pathway, the decreased exploratory behavior in lin-14(ma135) null mutant was partially suppressed in a nlp-45 mutant background (Fig. 2c). Altogether, these data suggest that nlp-45 functions as an anti-exploratory neuropeptide regulated by the heterochronic pathway during the L1 to L2 developmental transition (Extended Data Fig.10c).
We examined two other notable transitions in C. elegans post-embryonic development with reported changes in exploratory behavior. One is the increased exploration drive of adult males but not adult hermaphrodites for mate searching over food, observed upon sexual maturation and mediated by the PDF-1 neuropeptide 21,22. Consistent with an involvement of nlp-45, there are striking sexual dimorphisms in nlp-45 expression. In adult males, nlp-45 was activated in 5 classes of neurons in the head (SAAD/V, AVA, RIV, AIB, RIM), most RVG and most VNC motor neurons, as well as a number of tail neurons (Fig. 4a). This upregulation controlled food leaving behavior since nlp-45 mutant adult males (but not juveniles males or adult hermaphrodites) left food faster/earlier compared to control adult males (Fig. 4b, Extended Data Fig.10d). Moreover, the upregulation of nlp-45 in adult males served as a counterbalancing anti-exploratory signal to the increased exploration drive mediated by pdf-1 (Extended Data Fig.10e–g).
We noted that nlp-45 expression of the early larval lin-14(ma135) mutant hermaphrodites largely mimicked that of the wild type adult males, entailing expression in neurons that was only observed in control adult males (e.g. SAAD/V, RIV, AIB, RIM) and also stronger expression in other neuron classes (e.g. OLL, RMDD/V, CEPD/V) (Fig. 3a, 4a). This observation prompted us to ask whether the LIN-14 transcription factor is expressed in a sexually dimorphic manner. We indeed found that while LIN-14 expression was similarly downregulated in both sexes at early larval stages, expression in the L4 and particularly in the adult stage was significantly more reduced in the male nervous system compared to that of the hermaphrodite (Extended Data Fig.10h,i). Altogether, this data indicated that the LIN-14 transcription factor maintained a juvenile nlp-45 expression pattern by repressing it in specific neuron classes. The further downregulation of lin-14 in the adult male nervous system allowed for the de-repression of nlp-45 in additional neurons such as SAAD/V, RIV, AIB and RIM.
Since ChIP-seq analysis revealed binding of the hermaphrodite enriched master regulator of sexual identity, TRA-1, to cis-regulatory regions of lin-14 23, we examined the effect of TRA-1 on lin-14 expression. To this end, we eliminated TRA-1 from the nervous system through panneuronal overexpression of FEM-3, a negative regulator of TRA-1 expression, frequently used to change the sexual identity of specific cell types 24,25. We found that in these animals LIN-14 expression was significantly reduced in adult hermaphrodites and there was a consequent masculinization of nlp-45 expression (e.g. expression in SAAD/V, AVA, RIV, RIM and VNC MNs) (Fig. 4c, Extended Data Fig 10i,j). In summary, hermaphrodite enriched TRA-1 expression appears to maintain higher neuronal LIN-14 expression in adult hermaphrodites compared to adult males in order to prevent the onset of male-specific nlp-45 expression in specific neuron classes. These observations predict that other genes that are LIN-14-dependent in hermaphrodites may be expressed in a sexually dimorphic manner as well. Analyzing other reporter-tagged neuropeptide genes, we indeed find this to be the case (Extended Data Fig 10k–m, Supplementary Table 12).
Another notable example of a developmentally-controlled transition in exploratory behavior is the previously observed increased locomotor quiescence upon environmentally-induced entry into an alternative developmental stage, the diapause dauer stage 26. In dauer animals, nlp-45 gained expression in 6 classes of head neurons (Fig. 4d). We found that nlp-45 mutant dauer animals had reduced dwelling behavior compared to control dauer animals (Fig. 4e). Hence, consistent with its anti-exploratory role in early larval stage transitions and upon sexual maturation in adult males, nlp-45 upregulation in dauer animals contributes to the increased locomotor quiescence observed for this stage.
Since nlp-45 expression in lin-14(ma135) null hermaphrodites was observed in neurons that only showed nlp-45 expression at the dauer stage (e.g. RMEs, IL1s) (Fig. 3a, 4d), we considered that, similarly to the sexually dimorphic regulation of nlp-45, environmental regulation of nlp-45 expression may also converge on the regulation of transcription factor lin-14. Indeed, we found that this gain in nlp-45 expression correlated with a global downregulation in LIN-14 in the dauer animals (Extended Data Fig.10n). Moreover, through neuron-specific removal of daf-16/FoxO, the key effector of insulin signaling, we found that this dauer-specific LIN-14 downregulation was cell-autonomously controlled by insulin-signaling in the nervous system (Extended Data Fig.10n). This effect may be direct since ChIP-seq analysis revealed multiple DAF-16 in vivo binding sites in the lin-14 cis-regulatory region 27. The de-repression of lin-14 expression observed after neuronal daf-16/FoxO depletion led to the elimination/downregulation of nlp-45 expression in the 6 classes of head neurons that gained expression upon entry into dauer (Fig. 4f, Extended Data Fig.10o). The dynamics of LIN-14 expression in the dauer stage predict that other genes that are LIN-14-dependent may change their expression in the dauer stage. Analyzing other reporter-tagged neuropeptide genes, we indeed find this to be the case (Extended Data Fig.10p, q, Supplementary Table 12).
To assess how global temporal, sexual and environmental signals result in highly neuron type-specific modulation of gene (e.g. nlp-45) expression, we turned to neuron type-specific transcription factors, terminal selectors, that specify and maintain neuron type-specific batteries of terminal identity genes 28. We found that the homeobox gene unc-42/PROP1 which controls the differentiation of many nlp-45 expressing neurons in both hermaphrodite and male animals 29 is required for nlp-45 expression in all neurons where unc-42 and nlp-45 expression normally overlap (e.g. RMDD/V, RIV, SAAD/V) with the exception of AVA, where unc-42 acts redundantly with another terminal selector 29 (Fig. 4g, Extended Data Fig.11a). Similarly, unc-3/EBF, ast-1/ETV1 and ceh-8/RAX mutants affected nlp-45 expression in the cell types where these terminal selectors operate (Fig. 4g, Extended Data Fig.11b–d).
Terminal selectors and the heterochronic pathway members (i.e. lin-14) do not regulate one another (Extended Data Fig.11e–f). Additionally, nlp-45 showed precocious expression in lin-14; unc-42 double mutants, similar to the lin-14 null mutant alone, except in the neurons where unc-42 acts as a terminal selector (Extended Data Fig.11g). We conclude that terminal selectors and lin-14 act in parallel pathways, where unc-42 and other terminal selectors act permissively to promote nlp-45 expression, but temporal, sexual and dauer signals, integrated on the level of lin-14 expression, antagonize the ability of unc-42 to promote nlp-45 expression (Fig. 4h).
In conclusion, we presented here a comprehensive, nervous system-wide map of molecular changes that accompany the many behavioral transitions associated with post-embryonic nervous system maturation from juvenile to adult stages. Among the most striking changes were observed in the neuropeptidergic signaling. Honing in on one example, we demonstrated that the spatiotemporal regulation of a novel anti-exploratory neuropeptide across development resulted in consequential change in exploratory behavior across three separate temporal transitions. Consistent with work in other organsisms 20, our works strongly suggests that neuromodulatory peptides are broadly employed regulators of behavioral state transitions across development.
We characterized a genetic program that controls the temporal transitions in neuronal gene expression profiles across post-embryonic development. While studies in vertebrates have mostly focused on the role of environmental stimuli (e.g. neuronal activity) on the maturation of post-mitotic neuronal features 6,7, much less attention had been focused on identifying the genetic programs that regulated the temporal identity of post-mitotic neurons, akin to those that have been characterized for the temporal identities of dividing neuroblasts 8–11. We described here how an internal clock, the heterochronic gene pathway, composed of several phylogenetically conserved gene regulatory factors, regulates the temporal transitions in the expression of many but not all developmentally-regulated genes in a highly cell type-specific manner throughout the nervous system, in apparent collaboration with neuron-type specific terminal selectors of neuronal identity (see also Supplementary Discussion). The observation that the sex determination pathway (through the global sex regulator TRA-1) and environmentally responsive insulin pathway (through DAF-16/FoxO) regulate LIN-14 expression demonstrate that LIN-14 acts as a key hub to integrate the three different axes of time, sex and environment. “Static” genes are initiated and maintained by neuron identity-determining terminal selector transcription factors alone, while genes dynamically regulated by time, sex or environment, depend on both, the resident terminal selector of a neuron, as well as LIN-14 (Fig. 4h), which either promotes or antagonizes the ability of terminal selectors to activate such target genes.
METHODS
C. elegans strains and handling.
Worms were grown at 20°C on nematode growth media (NGM) plates seeded with E. coli (OP50) bacteria as a food source unless otherwise mentioned. Worms were maintained according to standard protocol. Wild-type strain used is Bristol variety, strain N2. A complete list of strains and transgenes used in this study is listed in Supplementary Table 13. Whenever synchronization of developmental stages was necessary, animals were egg prepped according to standard protocol and synchronized at the L1 stage. They were then plated on food and collected after 8 +/−1 hrs, 21 +/−1 hrs, 30 +/− 2hr, 40 +/− 2hrs, and 53 +/− 2hrs for L1, L2, L3, L4, and adult stages, respectively for either molecular or behavioral analysis. These time points were chosen such that the animals were in the middle of each larval stage or relatively early in adulthood for the analysis. Dauer animals were obtained using standard crowding, starvation and high temperature conditions.
Constructs cloning and stain generation
UPN INTACT.
To generate the UPN::INTACT tag (npp-9::mcherry::3xflag), a concatenated panneuronal promoter 30, containing promoter fragments from unc-11, rgef-1, ehs-1, and ric-19, and the INTACT tag 14 were cloned together using Gibson assembly. The construct was injected (5ng/μl with 100ng/μl digested OP50 DNA) and the resulting extrachromosomal array strain was integrated into the genome using standard UV irradiation methods. This was followed by 6 rounds of backcrossing to N2 to generate otIs790.
Fosmid recombineering.
To generate the lin-4 fosmid reporter, standard fosmid recombineering protocol was used as described previously 31. Briefly, a 90bp lin-4 primary miRNA was replaced with nls::yfp::h2b in fosmid WRM0613aD08. The recombineered fosmid was injected (15ng/μl with 100ng/μl digested OP50 DNA), and the resulting extrachromosomal array strain was integrated into the genome using standard UV irradiation methods. This was followed by 2 rounds of backcrossing to N2 to generate otIs763.
Genome engineering (CRISPR-Cas9).
lin-14(ot1087/1149/1150/1151), lin-28(ot1153/1154/1155), nlp-45(ot1032[nlp-45::t2a::gfp::h2b), nlp-45(ot1046), nlp-45(ot1047) were generated using Cas9 protein, tracrRNA, and crRNAs from IDT, as previously described 32. For lin-14(ot1087/1149/1150/1151), two crRNAs (gttcctgagagcaatttttg and caaaactcacaaccaactca) and a single strand oligodeoxynucleotide (ssODN) donor (ttgctttttcctgcactcactttacctttgtctcactttttcttacttctgtatcacaaaaatgattata) was used to ensure a precise 466bp deletion in the lin-14 3’UTR to remove all seven lin-4 binding site. For lin-28(ot1153/1154/1155), one crRNA (cctgagagtgcaatttgagg) and a ssODN donor (cccctctaaaccatactaccacctacctcctcaaacttttttttttcaaatagaactgattgcacctgtt) were used to ensure a precise 18bp deletion in the lin-28 3’UTR to remove the single lin-4 binding site. For, nlp-45(ot1032[nlp-45::t2a::gfp::h2b), two crRNAs (aagcatctggactgccgatg and tgacttgaacaggaagcatc) and an asymmetric double stranded t2a::gfp::h2b, PCRed from pBALU43, were used to insert the fluorescent tag at the C terminal. For nlp-45(ot1046) and nlp-45 (ot1047), two crRNAs (acttgcgttaaccacaatga and tgacttgaacaggaagcatc) were used and random deletions were screened to obtain nlp-45(ot1046) and nlp-45 (ot1047). These deletions were 43 and 239 bps within the first exon, respectively, and both resulted in frameshift mutations and premature stops. Neither mutation resulted in the production of the predicted mature peptide (Extended Data Fig.10a). npr-17(ot1101) was generated using a standard method as previously described to insert C-terminal fused gfp 33. ins-6(syb2685), ins-9 (syb2616), nlp-50(syb2704), nlp-13(syb3411), flp-26(syb3588), flp-28(syb3207), flp-14(syb3323) were generated by SUNY Biotech. To facilitate the neuronal ID of the secreted neuropeptide expression reporters, a nuclear localized GFP was inserted behind the neuropeptide coding sequences, separated by a T2A sequence that splits the two proteins 34.
Single copy insertion by MiniMos.
The concatenated panneuronal promoter (UPN) and a 338bp fragment containing the lin-4 miRNA were fused together and cloned into pCFJ910 using Gibson Assembly. The plasmid was injected to obtain single copy insertion of UPN::lin-4 as previously described 35.
Cell specific nlp-45 overexpression.
mgl-1 promoter 36 and glr-3 promoter 37 were PCRed from genomic DNA for neuron specific expression in RMDD/V and RIA neurons respectively. nlp-45 cDNA was obtained from Dharmacon. The promoter fragments and the nlp-45 cDNA were fused together with sl2::2xnls::tagrfp::p10 3’utr by Gibson assembly. The constructs were injected at 50ng/μl and extrachromosomal array lines were selected according to standard protocol.
All other strains.
The inx-19 fosmid (otIs773) was obtained through integration of a previously published extrachromosomal array strain 38. The gcy-12 promoter fusion GFP reporter was obtained through integration of an existing extrachromosomal array strain, DA1266. All other strains were previously published, and/or obtained from CGC and/or crosses with these strains as detailed in Supplementary Table 13.
Neuron identification
For neuronal cell identification, colocalization with the NeuroPAL landmark strain (otIs669 or otIs696) was used to determine the identity of all neuronal expression as previously described 30. Examples of how this was done are shown in Supplementary Fig.1. All images using NeuroPAL to ID are deposited to the Zenodo database.
Behavioral analysis
Automated Worm tracking.
Automated single worm tracking was performed using the Wormtracker 2.0 system at room temperature 13. Animals at all stages were recorded for 5 mins each except for dauers, which were recorded for 10 mins to ensure adequate sampling of locomotor features due to increased quiescence. All animals were tracked on NGM plates uniformly covered with food (OP50), except for dauer animals, which were tracked on non-coated plates. Analysis of the tracking videos was performed as previously described 13.
Exploratory Assay.
To measure exploration behavior, an adapted exploratory assay from a previous study 39 was used to increase sensitivity for younger/smaller animals. Individual animals at the respective developmental stages and genotypes were picked to a 5 cm agar plate uniformly seeded with E. coli strain OP50. After 90 min, plates were superimposed on a grid containing 1 mm squares, and the number of squares entered by the worm tracks were manually counted. The number of squares explored is adjusted for the length of the animal, to compensate for the different size of animals at different developmental stages/genotypes. Transgenic and mutant strains were always compared to control animals assayed in parallel. All plates were scored by an investigator blind to the genotype of the animals.
Food leaving Assay.
The food leaving (also known as mate-searching) assay was performed as previously described 22. A single drop (18μl) of OP50 was seeded the day before and allowed to grow. The following day, a single animal of the respective developmental stage, sex and genotype was placed in the center of a 9 cm agar plate, and each animal that had left the food was scored blindly at 8 time points for a period of up to 55 hrs. A worm was considered a leaver if it was 1 cm from the edge of the plate.
Microscopy
Worms were anesthetized using 100mM of sodium azide and mounted on 5% agarose on glass slides. All images were acquired using a Zeiss confocal microscope (LSM880). Image reconstructions was performed using Zen software tools. Maximum intensity projections of representative images were shown. Fluorescence intensity was quantified using the Zen software. Figures were prepared using Adobe Photoshop and Illustrator.
INTACT for purification of affinity-tagged neuronal nuclei
UPN::INTACT control worms (otIs790) as well as mutants were grown on large plates (150mm) with enriched peptone media coated with NA22 bacteria to allow for the growth of large quantities of worms: 100,000 worms can grow from synchronized L1 stage to gravid adults on a single plate. Animals were collected at the respective stage as described above. lin-4(e912) and lin-14(ot1149) animals were slower in their developmental progression compared to controls 40, and adult lin-4(e912) and lin-14(ot1149) animals were collected ~ 57+/− 2 hrs (4 hrs after the control and lin-28(ot1154) adult animals were collected). ~600,000 animals were collected for each L1/L2 replicate, while ~200,000 animals were collected for each L4/adult replicate. At the time of collection, animals were washed off the plate with M9, washed 3x with M9, lightly fixed with cold RNAse-free DMF for 2 minutes before washing with 1xPBS 3x.
Modifications were made from the previous INTACT protocol 14 to optimize pulldown of neuronal nuclei. All steps following were done in cold rooms (4°C) to minimize RNA and protein tag degradation. The animals were homogenized mechanically using disposable tissue grinders (Fisher) in 1x hypotonic buffer (1x HB: 10mM Tris pH 7.5, 10mM NaCl, 10mM KCl, 2mM EDTA, 0.5mM EGTA, 0.5mM Spermidine, 0.2mM Spermine, 0.2mM DTT, 0.1% Triton X-100, 1x protease inhibitor). After each round of mechanical grinding (60 turns of the grinder), the grinder was washed with 1mL 1x HB and the entire homogenate was centrifuged at 100xg for 3 min. The supernatant was collected for later nuclei extraction and the pellet was put under mechanical grinding and centrifugation for 4 additional rounds. The supernatant collected from each round were pooled, dounced in a glass dounce, and gently passed through an 18-gauge needle 20x to further break down small clumps of cells. The supernatant was then centrifuged at 100xg for 10 min to further remove debris and large clumps of cells. Nuclei was isolated from the supernatant using Optiprep (Sigma): supernatant after centrifugation was collected in a 50mL tube, added with nuclei purification buffer (1x NPB: 10mM Tris pH 7.5, 40mM NaCl, 90mM KCl, 2mM EDTA, 0.5mM EGTA, 0.5mM Spermidine, 0.2mM Spermine, 0.2mM DTT, 0.1% Triton X-100, 1x protease inhibitor) to 20mL, and layered on top of 5mL of 100% Optiprep and 10mL of 40% Optiprep. The layered solution was centrifuged at 5000xg for 10 min in a swinging bucket centrifuge at 4°C. The nuclei fraction was collected at the 40/100% Optiprep interface. After removal of the top and bottom layers, leaving a small volume containing the nuclei, the process was repeated 2 additional times. After final collection of the crude nuclei fraction, the volume was added to 4mL with 1xNPB and precleared with 10μl of Protein-G Dynabeads and 10 μl of M270 Carboxylated beads for 30min to 1hr (Invitrogen). The precleared nuclei extract was then removed, and 50 μl was taken out as input samples (total nuclei). The rest was incubated with 30μl of Protein G Dynabeads and 3 μl of anti-FLAG M2 antibody (Sigma) overnight to immunoprecipitate (IP) the neuronal nuclei. The following day, the IPed neuronal nuclei/beads was washed 6-8 times with 1xNPB for 10-15 min each time. The resulting IPed neuronal nuclei/beads were resuspended in 50 ul 1xNPB and a small aliquot was used to check with DAPI staining to quality-check the procedure for the following: 1) sufficient quantities of nuclei was immunoprecipitated; 2) nuclei are intact and not broken; 3) the majority of bound nuclei are single, mCherry-labelled neuronal nuclei and minimal nuclei clumps and large tissue chunks were immunoprecipitated. Anything not satisfying these quality checks were not used for downstream processing. The resulting input and neuronal IP samples were used for isolation of total RNA using Nucleospin RNA XS kit according to manufacturer’s protocol (Takara).
RNA-seq and data analysis
RNA-seq libraries were prepared using the Universal RNA-seq kit (Tecan) according to manufacturer’s protocol. The libraries were sequenced on Illumina NextSeq 500 machines with 75bp single-end reads. After initial quality check, the reads were mapped to WS220 using the Subread package 41, and assigned to genes using featurecounts. Neuronal enrichment was conducted by comparing neuronal IP samples to their respective input samples using DESeq2, with batch effect taken into account for the analysis 42. 7974 genes were found to be neuronally-enriched (Supplementary Table 2). We took the read counts of these 7974 genes for all IP samples across development, normalized for library size, and conducted all developmental and mutant analysis using DESeq2. We found that this approach minimized contamination artifacts resulting from the protocol and led to the best biological validation.
ChIP-seq and analysis
The C-terminally GFP tagged lin-14 (lin14(cc2841[lin-14::gfp]) and N2 strains were used for the ChIP. ~600,000 animals were collected for each L1/L2 replicate and fixed with 2% formaldehyde for 15 minutes at room temperature (RT). ChIP assay was performed as previously described with the following modifications 43. After fixation, worms were resuspended in FA buffer supplemented with protease inhibitors (150 mM NaCl, 10 μl 0.1 M PMSF, 100 μl 10% SDS, 500 μl 20% N-Lauroyl sarcosine sodium, 1 tablets of cOmplete ULTRA Protease Inhibitor Cocktail in 10 ml FA buffer). The sample was sonicated using a Covaris S220 at the following settings: 200 W Peak Incident Power, 20% Duty Factor, 200 Cycles per Burst for 6 min. Samples were transferred to centrifuge tubes and spun at the highest speed for 15 min. The supernatant was transferred to a new tube, and 5% of the material was saved as input. The remainder was incubated with 25 μl GFP-Trap Magnetic Beads (Chromotek gtd) at 4°C overnight. Wild-type (N2) worms do not carry the GFP tag and serve as negative control. The next day, the beads were washed at 4°C twice with 150 mM NaCl FA buffer (5 min each), once with 1M NaCl FA buffer (5 min). twice with 500 mM NaCl FA buffer (10 min each), once with TEL buffer (0.25 M LiCl, 1% NP-40, 1% sodium deoxycholate, 1 mM EDTA, 10 mM Tris-HCl, pH 8.0) for 10 min, and twice with TE buffer (5 min each). The immunocomplex was then eluted in 200 μl elution buffer (1% SDS in TE with 250 mM NaCl) by incubating at 65°C for 20 min. The input and ChIP samples were then treated with 1μl of 20 mg/ml proteinase K, incubated at 55°C for 2 hr, and then 65°C overnight to reverse cross-link. The immunoprecipitated DNA was purified with Ampure XP beads (A63881) according to manufacturer’s instructions, and used to generate sequencing library using Ovation Ultralow System V2 (Tecan) according to manufacturer’s instructions. The libraries were sequenced on Illumina NextSeq 500 machines with 75bp single-end reads. After initial quality check, the reads were mapped to WS220 using BWA 44 and filtered using SAMtools 45. Peaks were called using MACS2 46. The ChIP-seq peak distribution was calculated and plotted using ChIPseeker 47. The consensus binding motif was obtained using MEME-ChIP 48. Differential binding analysis between L1 and L2 was done using Diffbind 49. All peaks and differential binding sites were annotated and assigned to the nearest gene using ChIPseeker 47.
Auxin inducible degradation
The AID system was employed as previously described 38,50. The conditional daf-16 allele daf-16(ot975[daf-16::mneptune2.5::3xflag::aid) 51 was crossed with daf-2(e1370), panneuronal TIR1-expressing transgenic lines and lin-14/nlp-45 reporters to generate the experimental strains. Animals were grown (from embryo onward) on NGM plates supplemented with OP50 and 4mM auxin in EtOH (indole-3 acetic acid, IAA, Alfa Aesar) at 25°C to degrade DAF-16 panneuronally and to induce dauer formation. As controls, plates were supplemented with the solvent EtOH instead of auxin. Additional control animals without panneuronal TIR-1 expression grown on EtOH and auxin were also included for comparison.
Quantification, Statistical analysis AND Reproducibility
Statistical analysis of the automated worm tracking videos was performed as previously described 13. Briefly, statistical significance between each group was blindly calculated using Wilcoxon rank-sum test and correcting for false-discovery rate. Statistical analysis of RNA-seq comparison was performed using DESeq2 as previously described 42. Statistical analysis for various aspects of ChIP-seq was done using MACS2, MEME-ChIP and Diffbind 46,48,49.
All microscopy fluorescence quantifications were done in the Zen software (Carl Zeiss). For image quantifications, all direct comparisons were done in the same imaging sessions with the same laser settings. Wherever possible, an internal control (i.e. another fluorescent marker within the same strain) that was not altered by the different experimental conditions was used to normalize. If that was not possible, then the image was normalized to background fluorescence (taken as the same size box outside of the worm across all conditions).
For all behavioral assay, randomization and blinding was done wherever possible. For all other molecular and microscopy experiments, experimenters were not blind during data collection/analysis. All statistical tests for fluorescence quantifications and behavior assays were conducted using Prism (Graphpad) and Excel as described in figure legends.
All experiments were repeated at least once independently. At each repeat, all control and experimental conditions were included, and the results of all independent experiments were combined. Whenever representative microscopy images were shown without any quantification, the exact same results were observed in at least 10 animals unless variability is stated.
Extended Data
Supplementary Material
ACKNOWLEDGMENTS
We thank Qi Chen and Abhishek Bhattacharya for generating transgenic lines, Dylan Rahe for help with INTACT optimization, Alex Romero and Eviatar Yemini for help with worm tracking, Luisa Cochella, Michael P Hart, Isabel Beets and members of the Hobert lab for comments on the manuscript, Wormbase and CGC for providing resources and reagents. This work was funded by the NIH K99 HD098371, National Research Council of Canada (Holmes Award), and by the Howard Hughes Medical Institute. Some strains were provided by the CGC, which is funded by the NIH Office of Research Infrastructure Program (P40 OLD010440).
Footnotes
DECLARATION OF INTERESTS
The authors declare no competing interests.
Supplementary information is available for this paper.
DATA AVAILABILITY
Raw and processed RNA-seq data is available at GEO accession #GSE158274. Raw and processed ChIP-seq data is available at GEO accession #GSE181288.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Raw and processed RNA-seq data is available at GEO accession #GSE158274. Raw and processed ChIP-seq data is available at GEO accession #GSE181288.