Literature DB >> 26675724

The C. elegans adult neuronal IIS/FOXO transcriptome reveals adult phenotype regulators.

Rachel Kaletsky1, Vanisha Lakhina1, Rachel Arey1, April Williams1, Jessica Landis1, Jasmine Ashraf1, Coleen T Murphy1.   

Abstract

Insulin/insulin-like growth factor signalling (IIS) is a critical regulator of an organism's most important biological decisions from growth, development, and metabolism to reproduction and longevity. It primarily does so through the activity of the DAF-16 transcription factor (forkhead box O (FOXO) homologue), whose global targets were identified in Caenorhabditis elegans using whole-worm transcriptional analyses more than a decade ago. IIS and FOXO also regulate important neuronal and adult behavioural phenotypes, such as the maintenance of memory and axon regeneration with age, in both mammals and C. elegans, but the neuron-specific IIS/FOXO targets that regulate these functions are still unknown. By isolating adult C. elegans neurons for transcriptional profiling, we identified both the wild-type and IIS/FOXO mutant adult neuronal transcriptomes for the first time. IIS/FOXO neuron-specific targets are distinct from canonical IIS/FOXO-regulated longevity and metabolism targets, and are required for extended memory in IIS daf-2 mutants. The activity of the forkhead transcription factor FKH-9 in neurons is required for the ability of daf-2 mutants to regenerate axons with age, and its activity in non-neuronal tissues is required for the long lifespan of daf-2 mutants. Together, neuron-specific and canonical IIS/FOXO-regulated targets enable the coordinated extension of neuronal activities, metabolism, and longevity under low-insulin signalling conditions.

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Year:  2015        PMID: 26675724      PMCID: PMC4708089          DOI: 10.1038/nature16483

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


The C. elegans IIS pathway acts both cell autonomously and non-autonomously to control longevity, growth, dauer formation, metabolism, and reproduction[5-7] through its regulation of DAF-16/FOXO’s nuclear localization and transcriptional activation. The canonical IIS/FOXO gene set, which identified primarily intestinal and hypodermal targets (Extended Data Fig. 1A–B)[1,8,9], has been instructive in our understanding of how insulin signaling regulates a diverse range of activities, including metabolism, autophagy, stress resistance, and proteostasis. However, IIS mutants also exhibit daf-16-dependent neuronal phenotypes, including extended positive olfactory learning[2], increased short- and long-term associative memory[2], increased thermotaxis learning[10], improved neuronal morphology maintenance[11,12], and improved axon regeneration[3]. These phenotypes are unlikely to be regulated by the known intestinal and hypodermal IIS/FOXO targets[1,8]. Therefore, to understand how IIS/daf-2 animals extend behavioral functionality, we must identify the neuronal targets of FOXO/DAF-16.
Extended Data Fig 1

A) DAF-16 tissue-specific transgenics; heat map of all genes with expression differences ≥1.5-fold in ≥3 arrays. B) Significant Gene Ontology (GO) cluster terms from Punc-119::daf-16-regulated up- and down-regulated genes (Enrichment score >1). C) Pairwise Pearson correlations between arrays of DAF-16-up-regulated or down-regulated targets. The red box highlights the negative correlation between neuronal DAF-16 rescued targets (Punc-119::daf-16::gfp;daf-16;daf-2 vs daf-16;daf-2) and intestinal DAF-16 targets (Pges-1::daf-16::gfp;daf-16;daf-2 vs daf-16;daf-2), while the blue box shows the positive correlation between intestinal DAF-16 targets (Pges-1::daf-16::gfp;daf-16;daf-2 vs daf-16;daf-2) and whole worm DAF-16 targets (Pdaf-16::daf-16::gfp; daf-16;daf-2 vs daf-16;daf-2). The green box shows the weak correlation between neuronal rescued and whole worm DAF-16 targets. D) Tissue enrichment analysis (Mean ± SEM) of significant DAF-16-rescued up- and down-regulated genes (Supplementary Table 1) (FDR < 0.5). E) Significant Gene Ontology (GO) terms (adjusted p-value < 0.05) for DAF-16 up-regulated and down-regulated genes from whole worm, intestine-, neuron-, and muscle-rescued DAF-16 strains. Genes used for GO analysis (Supplementary Table 2) were derived from SAM analysis of the microarrays in (A) and Supplementary Table 1.

We first profiled the expression of daf-16;daf-2 worms with daf-16 rescued in specific tissues[6] (Supplementary Table 1). Intestinal daf-16 rescue correlates best with whole-worm profiles (Extended Data Fig. 1A, C). By contrast, neuronal daf-16 rescue profiles are anti-correlated with the intestinal DAF-16 and whole-worm profiles (Extended Data Fig. 1A, C). Surprisingly, many genes induced by neuronal DAF-16 rescue are expressed (Wormbase) or predicted to be expressed in non-neuronal tissues[13] (Extended Data Fig. 1D), and have non-neuronal functions (e.g., collagens[14]; Extended Data Fig. 1B, 1E, Supplementary Table 2). Thus, whole-worm transcriptional analyses of neuronally-rescued DAF-16 failed to reveal targets that account for daf-2 mutants’ daf-16-dependent age-related behaviors. Therefore, we needed to specifically examine transcription in IIS-mutant neurons. The tough outer cuticle prevents dissociation of adult tissues[15], thus the wild-type adult neuronal transcriptome has not been described. To solve this problem, we used rapid, chilled chemomechanical disruption followed immediately by FACS to isolate GFP-marked neurons from wild-type worms, then RNA-sequenced these isolated cells (Fig. 1A–C, Extended Data Fig. 2A–C,F,G, Supplementary Table 3). This method is gentle enough to preserve the integrity of cells and some neurites (Extended Data Fig. 2A), does not involve cell culturing prior to FACS, in contrast to previous methods[16], and does not affect transcription (Actinomycin D; Fig. 1B, Extended Data Fig. 2D,E, Supplementary Table 4). Downsampling analysis showed that sufficient sequencing depth was achieved (Extended Data Fig. 2H).
Fig 1

Identification of neuronal IIS/FOXO targets requires neuronal isolation

A) Volcano plot of neuron-expressed relative to whole worm-expressed genes obtained by neuron-specific RNA sequencing of adult wild-type animals. B) Neuron-expressed and enriched genes are not influenced by cell isolation: treatment with the transcription inhibitor Actinomycin D affected only 0.22% of all neuronal genes (Supplementary Table 4). C) Tissue expression prediction of wild-type adult neuron-enriched genes. Mean ± SEM. D) GO terms highlight the neuronal characteristics of both all and previously uncharacterized neuron-enriched genes. E) Embryonic[16], larval[16], and adult neuron-enriched genes and significant GO terms transition from developmental to neuronal and behavioral functions (Supplementary Table 5); FDR<10% for all gene sets.

Extended Data Fig 2

A) Pipeline for isolation of adult cells for FACS and RNA sequencing. B) Workflow for RNAseq data analysis of isolated neurons. C) Heat map of wild type neuron-expressed relative to whole worm-expressed genes. D) Actinomycin D (transcription inhibitor) treatment (100 µg/ml) during the cell isolation process demonstrates that the neuron isolation technique induces minimal transcriptional changes in wild type animals. Gene Ontology (GO) Terms represent genes up-regulated in the absence of Actinomycin D (Fig 1B, Supplementary Table 4). E) The 26 differentially expressed genes from Actinomycin D treatment are listed. F) C. elegans tissue gene expression prediction confirms neuronal character of adult wild-type neuron-enriched genes. Neuron-enriched genes were divided among equal bins according to p-value. Bin 1: FDR<0.003%; Bin 2: 0.003%–0.03%; Bin 3: 0.03%–1.3%; Bin 4: 1.3%–4%; Bin 5: 4–10%. G) Principal component analysis (PCA) shows a clear separation between wild-type adult neuronal and whole-worm samples. H) Down-sampling of wild-type neuron sequencing reads demonstrates sufficient sampling depth. The number of genes detected at the 3 counts per million threshold (for expressed genes) with different proportions of total sequencing depth analyzed.

We compared gene expression in isolated wild-type neurons with whole-worm expression to identify genes that are enriched in neurons (Fig. 1A–C). Of the 1507 “neuron enriched” genes (False Discovery Rate (FDR)<0.1; Supplementary Table 3; Fig. 1A,B), only 4% have previously-described expression patterns exclusively in non-neuronal tissues, and “Neuron” is the only significantly-enriched tissue (Fig. 1C, Extended Data Fig. 2F), suggesting the method is highly selective for neuronal transcripts. Gene promoter-gfp tests of previously uncharacterized genes from our “neuron enriched” list confirmed neuronal expression, with no bias for particular neuron types (Extended Data Fig. 3A). We also detected genes previously reported to be expressed only in single neurons or small subsets of neurons, including glr-3 (RIA), ttx-3 (AIY/AIA), and npr-14 (AIY) (Wormbase).
Extended Data Fig 3

A) Promoter::GFP transcriptional fusions of candidate uncharacterized neuronal genes (Day 1 of adulthood). B) Gene Ontology clusters were generated from the categories in Fig 1E. Non-overlapping GO Terms suggest a transition from development-related processes in embryonic and larval animals to neuronal processes involved in behavior in adults (Supplementary Table 5). C) Venn diagram depicting the overlap between genes classified as “expressed” among embryonic and larval neurons[16] and adult neurons from our RNA-seq analysis (Supplementary Table 5).

The wild-type neuron-enriched set includes synaptic machinery, ion channels, neurotransmitters, and signaling components (Supplementary Table 3), as well as >700 previously-uncharacterized genes; these genes are predicted to have “neuronal”-like character and function (Fig. 1D). Comparison of the wild-type embryonic and larval neuronal transcriptomes with the adult neuronal transcriptome at the same FDR revealed a shift in functional categories from developmental processes to neuronal function/behavior in the adult neuronal transcriptome (Fig. 1E, Extended Data Fig. 3B,C, Supplementary Table 5), suggesting that previous isolation methods[16], either due to early developmental stage isolation or to re-culturing, biased expression toward developmental genes rather than neuronal/behavioral genes. To identify adult neuronal IIS/FOXO targets, we sequenced RNA from isolated daf-2 and daf-16;daf-2 neurons on Day 1 of adulthood (Fig. 2A, Extended Data Fig. 4, Supplementary Table 6, 8). The IIS/FOXO neuron-isolated gene set is enriched for neuronal expression: 86% and 92% of the up- and down-regulated genes, respectively, are expressed in wild-type neurons. While several of DAF-16’s top Class I targets, including hil-1, sip-1, mtl-1, nnt-1, ins-6, and daf-16 itself, were upregulated in both daf-2 neurons and daf-2 whole worms (Group B; Fig. 2B), most of the IIS/FOXO neuronally-regulated set differs from the canonical whole-worm IIS/FOXOs set[1,8] (Fig. 2B). Specifically, in contrast to the metabolism-dominated functions of canonical whole-worm IIS/FOXO targets[1,8], the neuronal IIS set GO terms reflect neuron-like functions (Extended Data Fig. 5B): serpentine receptors, GPCRs, syntaxin, globins, kinesins, insulins, ion channels, potassium channels, seven-transmembrane receptors, the NPR-1 neuropeptide receptor, and the SER-3 octopamine receptor are upregulated in daf-2 neurons (Supplementary Table 6). A few genes (fat-3 and crh-1/CREB) are upregulated in daf-2 neurons but downregulated in whole daf-2 animals.
Fig 2

RNA-seq transcriptional profile of isolated neurons reveals IIS/FOXO neuronal transcriptome

A) Volcano plot of daf-2-regulated, daf-16-dependent up- (red) and down-regulated (green) neuronal genes (p<0.05). B) Comparison of whole-worm (Class I)[8] vs neuronal-IIS/FOXO targets. P-values: hypergeometric distributions. C–E) Short-term associative memory (STAM) assays. C) Schematic of STAM assay and chemotaxis profiles of daf-2 treated with (C) sod-3 or (D, E) neuronal IIS/FOXO target gene RNAi. D) Learning indices relative to control RNAi at 3h post-training of daf-2 treated with adult-only (green) or whole life (blue) neuronal IIS/FOXO target gene RNAi. Mean ± SEM, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001, two-way repeated measures ANOVA, Bonferroni post hoc tests.

Extended Data Fig 4

A) Principal Components Analysis of the whole worm and isolated adult neuron samples obtained for this study. B) Venn diagram depicting the overlap of daf-2- and daf-16;daf-2-expressed genes with those expressed in wild-type adult neurons. C) Spearman correlation of whole-worm and isolated adult neuron samples. D) The DAF-16 cell-autonomous and cell non-autonomous targets are distinct. The number of genes that overlap between neuronal DAF-16-rescued whole-worm targets (Punc-119::daf-16::gfp;daf-16;daf-2 vs daf-16;daf-2) and isolated neuron IIS targets (daf-2 vs daf-16;daf-2) is shown (Supplementary Table 8). Hypergeometric distribution analysis (p-values) shows that the extent of overlap between the gene categories is not significant.

Extended Data Fig 5

A) The different classes of neuronal IIS/FOXO genes shown in Figure 2B were analyzed for DBE and DAE sequences in the 1kb upstream promoter regions. The genome-wide % of DBE and DAE occurrences across the 1kb promoters of all gene-encoding regions is reported. Comparison of whole-worm (Class I)[8] vs neuronal-IIS/FOXO-regulated targets. P-values: hypergeometric distributions. B) GO terms of Class I whole worm[8] vs. neuronal-IIS up-regulated genes (left) and Class II whole worm[8] vs neuronal-IIS down-regulated genes (right) (Supplementary Table 5).

The IIS/FOXO downregulated set includes serpentine receptors, guanylate cyclases, signaling peptides and receptors (NLPs, FLPs, and NPRs), and the vesicle trafficking G protein rab-28 (Supplementary Table 6). Expression of the sensory neuron cilia protein IFTA-2, which co-localizes with DAF-2 and whose loss increases lifespan[17], is downregulated in daf-2 mutants, consistent with the longevity of daf-2 and ciliated sensory neuron mutants[18]. Similarly, sams-1 (S-adenosyl methionine synthetase), which is downregulated under long-lived Dietary Restriction conditions[19], and sma-5 and dbl-1, components of TGF-beta pathways linked with IIS[7,20], are downregulated, perhaps coordinating the longevity and reproductive output of these pathways. Unlike canonical IIS/FOXO targets[1], neuronal IIS/FOXO gene promoters are not enriched for the DBE (DAF-16 Binding Element, GTAAAt/cA), but the overlapping, upregulated (Group B) targets’ promoters contain twice as many DBEs (Extended Data Fig. 5A). The overlapping downregulated (Group F) targets are enriched for the PQM-1[8]/DAE motif (CTTATCA[1,8]; Supplementary Table 7). DAF-16 may regulate neuronal activities indirectly through activation of ~60 IIS/FOXO-upregulated transcription factors (Supplementary Table 6). We next tested the roles of top-scoring genes in daf-2-regulated neuronal phenotypes. Long-term and short-term associative memory are both extended in daf-2 mutants in a daf-16-dependent manner[2] (Extended Data Fig. 6). The bZIP transcription factor CREB, which is required for long-term memory in many organisms, including C. elegans[2], is upregulated by IIS/FOXO in neurons (Supplementary Table 6), correlating with daf-2’s increased long-term memory[2,21]. However, short-term associative memory (STAM; Fig. 2C) is CREB-independent[2], and the genes that enable daf-2’s STAM extension are unknown. While the DAF-16 non-neuronal target sod-3 had no effect on daf-2’s extended STAM (Fig. 2C, Extended Data Fig. 6B–D), knockdown of 8 of the 10 top-ranked, upregulated IIS/FOXO targets significantly decreased daf-2(e1370)’s STAM (Fig. 2D,E), both in whole-life and adult-only RNAi tests. (Neuronal RNAi is effective in learning, STAM, and LTAM tests[21].) The variety of genes (ion channels, transcription factors, G-proteins, vesicle fusion proteins) required for daf-2’s extended STAM suggests that decreased insulin signaling affects a broad network of memory extension genes. Several of these genes are also required for wild type’s learning and memory (Extended Data Fig. 6G) suggesting that daf-2 mutants maintain neuronal function, rather than utilizing an alternative short-term memory mechanism.
Extended Data Fig 6

daf-2 is required for various forms of C. elegans associative learning[2,27,30–33]. daf-16 is required for daf-2’s improvements and extensions of abilities with age[2]. daf-2 mutants are defective for salt chemotaxis learning[27,30,31], and daf-16 is not involved in salt chemotaxis learning[27,30,31]. Furthermore, salt learning utilizes a unique daf-2c isoform[27] in a daf-16-independent manner[30], suggesting a learning mechanism distinct from the associative memory paradigms studied here. We are specifically interested in understanding how activation of DAF-16 results in the improved and extended abilities of daf-2 mutants to carry out olfactory associative learning[2], short-term associative memory[2,33], and long-term associative memory[2], all of which require daf-16. A) Chemotaxis index profile of wild type (N2) and daf-2 animals at time points following memory training. B) RNAi knockdown of sod-3, a non-neuronal DAF-16-regulated target that influences lifespan, has no effect on the extended short-term associative memory (STAM) of daf-2 mutants when treated with RNAi-feeding bacteria throughout the whole life (B) or only the post-developmental (adult-only) period (C, D) of the animal. daf-2 worms treated with daf-16 RNAi have defective STAM, as previously reported[2]. E) Knockdown of the neuronal IIS candidate genes zip-5 and best-23 does not affect STAM. Time-courses showing the chemotaxis index for each time point are shown in D and E. Learning indices are shown in B, C, F, and G. B–E) Two-way repeated measures ANOVA, Bonferroni post hoc tests. F) Treatment of daf-2 worms with neuronal DAF-16 target RNAi does not affect short-term associative learning. G) Neuronal-RNAi sensitive worms (Punc-119::sid-1) in a wild-type background were treated only during adulthood with RNAi targeted against the neuronal DAF-16 target genes. (0h) Learning and 1 h short-term associative memory time points are shown. A–G) Mean ± SEM, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

daf-2 mutants also maintain motor neuron axon regeneration ability with age in a daf-16-dependent manner[3], and we found this is also true for mechanosensory neurons (Fig. 3A,B, Extended Data Fig. 7A–D). To identify factors that enable axon regeneration with age, we isolated and RNA-sequenced six adult mechanosensory neurons (Fig. 3C, Supplementary Table 9); this set includes 94 known larval regeneration genes from limited candidate screens[22] (p≤ 1.82 × 10−20). To find daf-2/daf-16-dependent axon regeneration candidates, we identified mechanosensory genes that are also regulated by neuronal IIS/FOXO (Fig. 3C, Supplementary Table 9; p<0.002). The forkhead transcription factor FKH-9 is a neuronal IIS/FOXO target (Supplementary Table 6) and a canonical Class I target[1], and is expressed in mechanosensory neurons (Supplementary Table 9). fkh-9’s promoter is occupied by DAF-16, which we confirmed by chIP-qPCR (Fig. 3E, Extended Data Fig. 8A, B). FKH-9::GFP localized to nuclei, and neurons were the primary site of differential FKH-9::GFP levels in daf-2 mutants (Fig. 3F, Extended Data Fig. 8C), all suggesting a role for FKH-9 in daf-2/daf-16-mediated neuronal function.
Fig 3

FKH-9 is a direct target of DAF-16 and is expressed in mechanosensory neurons

A, B) daf-16 is required for daf-2’s enhanced Day 5 axon regeneration, Mean ± SEM, *p<0.05, Fisher’s exact test. C) Known larval regeneration genes are significantly enriched in the Day 1 adult mechanosensory transcriptome. 63 genes are both DAF-16 targets and expressed in mechanosensory neurons (<5%FDR). D) fkh-9 mRNA levels are higher in aged daf-2 compared to wild type in a daf-16-dependent manner. N=4 biological replicates, two-way ANOVA, Bonferroni post hoc tests. E) Chromatin immunoprecipitation of DAF-16::GFP worms with and without heat shock, which mobilizes DAF-16 into the nucleus. DAF-16 binds to the sod-3 promoter but not its 3’ UTR, and to the fkh-9 promoter at multiple locations (Extended Data Figure 8). Fold enrichment relative to wild-type (not expressing DAF-16::GFP) is shown (mean ± SEM, two-tailed t-test, N=3 biological replicates). F) Neuronal FKH-9::GFP (fkh-9p::fkh-9::gfp) expression in daf-2 compared to wild type. N=25 animals. Mean ± SEM, two-tailed t-test. D–F) *p<0.05, **p<0.01, ***p<0.001.

Extended Data Fig 7

A) Six adult mechanosensory neurons labeled by mec-4p::GFP were isolated for RNA-seq. B) Axon length from the cell body to the site of injury was measured in µm immediately after axotomy and 24 hours later. Regenerative capacity of wild-type PLM axons declines from day 1 to day 5 of adulthood. C) Day 5 wild-type animals regrow axons that are significantly shorter than in Day 1 animals. D) Axotomies of daf-2 mutants grown on vector control, sod-3, or daf-16 RNAi demonstrate that sod-3, a lifespan-regulating DAF-16 target, does not influence the axon regeneration capacity of daf-2 worms at Day 5 of adulthood. E) fkh-9 does not affect the regenerative capacity of daf-2 axons on Day 1 of adulthood. F) fkh-9 is not required for axon regeneration in Day 1 adults. B–F) Mean ± SEM, Fisher’s exact test, *p < 0.05. G) Overexpression of the a and b isoforms of fkh-9 in wild-type animals causes axonal structural defects. Rescuing fkh-9 activity in the mechanosensory neurons of daf-2;fkh-9 mutants results in severe beading and degeneration of axons.

Extended Data Fig 8

Wormbase (www.wormbase.org) gene models for (A) fkh-9 and (B) sod-3 are shown with modENCODE data for DAF-16 ChIP-seq experiments. A) Primer sets for ChIP-qPCR are depicted. C) Posterior intestinal FKH-9::GFP expression is only modestly increased in daf-2 compared to wild-type animals expressing fkh-9p::fkh-9::gfp. N= 25 animals.

While there is no effect on the first day of adulthood (Extended Data Fig. 7E,F), loss of fkh-9 severely impairs daf-2’s axon regeneration ability in aged (Day 5) worms (Fig. 4A), correlating with an increased difference in fkh-9 expression levels between wild-type and daf-2 (Fig. 3D). Pan-neuronal fkh-9 expression rescues the ability of Day 5 daf-2;fkh-9 worms to regenerate PLM axons (Fig. 4B,C). fkh-9 levels are critical for neuron morphology, as fkh-9 neuronal overexpression causes axonal defects (Extended Data Fig. 7G)
Fig 4

FKH-9 is required for daf-2's improved axon regeneration, short-term associative memory, and lifespan

A) fkh-9 knockdown reduces axon regeneration of Day 5 daf-2 mutants, as does daf-16 knockdown. B, C) Neuronally-expressed fkh-9 rescues Day 5 axon regeneration in daf-2;fkh-9 mutants. Mean ± SEM, *p<0.05, Fisher’s exact test. D) fkh-9 is required for daf-2’s enhanced memory in adult-only RNAi-treated worms. E) Neuronally-expressed fkh-9 rescues extended STAM in daf-2;fkh-9 mutants with defective learning and memory. Mean ± SEM, **p<0.01, ***p<0.001, ****p<0.0001, two-way repeated measures ANOVA, Bonferroni post hoc tests. F) Adult-specific fkh-9 RNAi treatment reduces daf-2 mutant lifespan. Median lifespan: control RNAi 42 days, fkh-9 RNAi 21 days, daf-16 RNAi 21 days. p<0.0001 for control RNAi vs. daf-16 RNAi and control vs. fkh-9 RNAi, log-rank test. N=144 worms per strain. G) IMP network analysis of DAF-16 neuronal target genes with STAM phenotypes (red circles).

Adult-specific and whole-life reduction of fkh-9 also severely impair daf-2’s extended STAM (Fig. 4D, Extended Data Fig. 9). daf-2;fkh-9 double mutants are defective in both STAM and learning, and neuronal fkh-9 expression rescues these defects (Fig. 4E, Extended Data Fig. 9D,E), suggesting fkh-9 is required for daf-2’s extended memory and normal neuronal development. Day 1 and 5 fkh-9 expression levels correlate with STAM and axon regeneration (Fig 3D). fkh-9 reduction delays development, and reduction during adulthood causes severe matricide (Extended Data Fig. 10A–C). fkh-9 knockdown in adult daf-2 worms treated with FUdR to block matricide[20] significantly shortens lifespan (40–50%; Fig 4F). Pan-neuronal fkh-9 expression does not rescue lifespan (Extended Data Fig. 10D), suggesting that FKH-9 acts in non-neuronal tissues to regulate lifespan. Thus, IIS/FOXO-regulated FKH-9 function is important for both neuronal and non-neuronal growth and development, as well as adult memory and axon regeneration. Interestingly, FKH-9’s mammalian homolog FoxG1 is required for axon outgrowth[23] and is the most highly-induced gene in spinal cords treated with radial glial cell transplant following spinal cord injury[24].
Extended Data Fig 9

A, B) Whole-life RNAi of fkh-9 reduces daf-2 STAM. C) RNAi knockdown of fkh-9 exclusively during adulthood results in reduced daf-2 STAM comparable to daf-16 RNAi-treatment. D, E) daf-2;fkh-9 mutants have reduced learning (tested immediately following STAM training) and STAM compared to daf-2. Mean ± SEM, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. Mean ± SEM, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. Time-courses showing the chemotaxis index for each time point are shown in B and E. Learning indices are shown in A, C, and D.

Extended Data Fig 10

Adult-only (A) or whole-life (B) fkh-9 RNAi treatment increases matricide in daf-2 worms. The cumulative % of animals dead as a result of bagging and/or exploding was recorded every other day. Two biological replicates were performed, with a representative experiment shown. C) Neuronal rescue of fkh-9 in daf-2;fkh-9 animals does not diminish the rate of vulval protrusions with age. N ≥ 60 per conditions for each experiment. D) Neuronal rescue of fkh-9 does not restore longevity of the daf-2;fkh-9 double mutant. daf-2 median lifespan: 41 days, daf-2;fkh-9 20 days, daf-2;fkh-9;Punc-119::fkh-9 20 days. p < 0.0001 for daf-2 vs. both daf-2;fkh-9 and daf-2;fkh-9;Punc-119::fkh-9. N=112 worms per strain. Censor rate for daf-2 19%, daf-2;fkh-9 51%, daf-2;fkh-9;Punc-119::fkh-9 56%.

Network analysis using fkh-9 and the other 8 neuronal DAF-16 STAM genes (Fig. 4G, Supplementary Table 10) identified casy-1, which is required for several forms of associative learning and memory[2,25-27], apl-1, the C. elegans ortholog of amyloid precursor protein (APP) that can disrupt sensory plasticity[28], and dlk-1, the only previously known regulator of age-dependent axon regeneration[3,29]. Additionally, genes involved in neuronal degeneration (mec-17), neuronal development (egl-44, sem-4), neuronal function (egl-21, rnc-1, vab-9, cysl-1), synaptic regulation and function (cab-1, hlb-1, magu-4, sph-1, unc-64), and axon outgrowth (unc-14) and regeneration (egl-8, fos-1, pmk-3), were connected to the STAM genes. PQM-1[8], whose motif (DAE) is overrepresented in neuronal IIS target promoters, and other IIS (akt-2, dct-6, hlh-30), TGF-β (daf-14, sma-4, crm-1, sma-9, sma-1, sta-1), and MAPK pathway (vhp-1, pmk-3) components emerged in the network. Transcriptional regulation by IIS/FOXO and its targets may lead to broader, indirect transcriptional and non-transcriptional regulation of genes with important neuronal functions. Plasticity in development, reproduction, and longevity allows organisms to respond appropriately to nutrient availability and changes in their environment. The IIS pathway is a critical mediator of these decisions, with FOXO selecting transcriptional targets to execute specific biochemical functions in each tissue, including factors that maintain cognitive function with age. daf-2 worms maintain neuronal behaviors with age by utilizing a set of transcriptional targets that are distinct from previously-identified metabolic and stress resistance targets expressed in other tissues. These genes may regulate additional neuronal targets through non-transcriptional mechanisms (Fig. 4G). The regulation of tissue-specific transcriptional programs is important to coordinate phenotypic responses, extending neuronal abilities in concert with daf-2’s extended longevity and reproductive span.

Methods

Adult cell isolation

Day 1 adult neuronally GFP-labeled worms (Punc119::GFP or Pmec-4::GFP) were prepared for cell isolation as previously described[15] with modifications (Extended Data Fig. 2). Synchronized adult worms were washed with M9 buffer to remove excess bacteria. The pellet (~250 µl) was washed with 500 µl lysis buffer (200 mM DTT, 0.25% SDS, 20 mM Hepes pH 8.0, 3% sucrose) and resuspended in 1000 µl lysis buffer. Worms were incubated in lysis buffer with gentle rocking for 6.5 minutes at room temperature. The pellet was washed 6× with M9 and resuspended in 20 mg/ml pronase from Streptomyces griseus (Sigma-Aldrich). Worms were incubated at room temperature (<20 minutes) with periodic mechanical disruption by pipetting every 2 min. When most worm bodies were dissociated, leaving only small debris and eggs, ice-cold PBS buffer containing 2% fetal bovine serum (Gibco) was added. RNA from FACS-sorted neurons was prepared for RNA-seq and subsequent analysis (see Extended Data for details).

Short-term associative memory assay

Memory assays were performed as described[2].

Axon Regeneration Assays

In vivo laser axotomy of PLM neurons was performed as described[22]. A) DAF-16 tissue-specific transgenics; heat map of all genes with expression differences ≥1.5-fold in ≥3 arrays. B) Significant Gene Ontology (GO) cluster terms from Punc-119::daf-16-regulated up- and down-regulated genes (Enrichment score >1). C) Pairwise Pearson correlations between arrays of DAF-16-up-regulated or down-regulated targets. The red box highlights the negative correlation between neuronal DAF-16 rescued targets (Punc-119::daf-16::gfp;daf-16;daf-2 vs daf-16;daf-2) and intestinal DAF-16 targets (Pges-1::daf-16::gfp;daf-16;daf-2 vs daf-16;daf-2), while the blue box shows the positive correlation between intestinal DAF-16 targets (Pges-1::daf-16::gfp;daf-16;daf-2 vs daf-16;daf-2) and whole worm DAF-16 targets (Pdaf-16::daf-16::gfp; daf-16;daf-2 vs daf-16;daf-2). The green box shows the weak correlation between neuronal rescued and whole worm DAF-16 targets. D) Tissue enrichment analysis (Mean ± SEM) of significant DAF-16-rescued up- and down-regulated genes (Supplementary Table 1) (FDR < 0.5). E) Significant Gene Ontology (GO) terms (adjusted p-value < 0.05) for DAF-16 up-regulated and down-regulated genes from whole worm, intestine-, neuron-, and muscle-rescued DAF-16 strains. Genes used for GO analysis (Supplementary Table 2) were derived from SAM analysis of the microarrays in (A) and Supplementary Table 1. A) Pipeline for isolation of adult cells for FACS and RNA sequencing. B) Workflow for RNAseq data analysis of isolated neurons. C) Heat map of wild type neuron-expressed relative to whole worm-expressed genes. D) Actinomycin D (transcription inhibitor) treatment (100 µg/ml) during the cell isolation process demonstrates that the neuron isolation technique induces minimal transcriptional changes in wild type animals. Gene Ontology (GO) Terms represent genes up-regulated in the absence of Actinomycin D (Fig 1B, Supplementary Table 4). E) The 26 differentially expressed genes from Actinomycin D treatment are listed. F) C. elegans tissue gene expression prediction confirms neuronal character of adult wild-type neuron-enriched genes. Neuron-enriched genes were divided among equal bins according to p-value. Bin 1: FDR<0.003%; Bin 2: 0.003%–0.03%; Bin 3: 0.03%–1.3%; Bin 4: 1.3%–4%; Bin 5: 4–10%. G) Principal component analysis (PCA) shows a clear separation between wild-type adult neuronal and whole-worm samples. H) Down-sampling of wild-type neuron sequencing reads demonstrates sufficient sampling depth. The number of genes detected at the 3 counts per million threshold (for expressed genes) with different proportions of total sequencing depth analyzed. A) Promoter::GFP transcriptional fusions of candidate uncharacterized neuronal genes (Day 1 of adulthood). B) Gene Ontology clusters were generated from the categories in Fig 1E. Non-overlapping GO Terms suggest a transition from development-related processes in embryonic and larval animals to neuronal processes involved in behavior in adults (Supplementary Table 5). C) Venn diagram depicting the overlap between genes classified as “expressed” among embryonic and larval neurons[16] and adult neurons from our RNA-seq analysis (Supplementary Table 5). A) Principal Components Analysis of the whole worm and isolated adult neuron samples obtained for this study. B) Venn diagram depicting the overlap of daf-2- and daf-16;daf-2-expressed genes with those expressed in wild-type adult neurons. C) Spearman correlation of whole-worm and isolated adult neuron samples. D) The DAF-16 cell-autonomous and cell non-autonomous targets are distinct. The number of genes that overlap between neuronal DAF-16-rescued whole-worm targets (Punc-119::daf-16::gfp;daf-16;daf-2 vs daf-16;daf-2) and isolated neuron IIS targets (daf-2 vs daf-16;daf-2) is shown (Supplementary Table 8). Hypergeometric distribution analysis (p-values) shows that the extent of overlap between the gene categories is not significant. A) The different classes of neuronal IIS/FOXO genes shown in Figure 2B were analyzed for DBE and DAE sequences in the 1kb upstream promoter regions. The genome-wide % of DBE and DAE occurrences across the 1kb promoters of all gene-encoding regions is reported. Comparison of whole-worm (Class I)[8] vs neuronal-IIS/FOXO-regulated targets. P-values: hypergeometric distributions. B) GO terms of Class I whole worm[8] vs. neuronal-IIS up-regulated genes (left) and Class II whole worm[8] vs neuronal-IIS down-regulated genes (right) (Supplementary Table 5). daf-2 is required for various forms of C. elegans associative learning[2,27,30-33]. daf-16 is required for daf-2’s improvements and extensions of abilities with age[2]. daf-2 mutants are defective for salt chemotaxis learning[27,30,31], and daf-16 is not involved in salt chemotaxis learning[27,30,31]. Furthermore, salt learning utilizes a unique daf-2c isoform[27] in a daf-16-independent manner[30], suggesting a learning mechanism distinct from the associative memory paradigms studied here. We are specifically interested in understanding how activation of DAF-16 results in the improved and extended abilities of daf-2 mutants to carry out olfactory associative learning[2], short-term associative memory[2,33], and long-term associative memory[2], all of which require daf-16. A) Chemotaxis index profile of wild type (N2) and daf-2 animals at time points following memory training. B) RNAi knockdown of sod-3, a non-neuronal DAF-16-regulated target that influences lifespan, has no effect on the extended short-term associative memory (STAM) of daf-2 mutants when treated with RNAi-feeding bacteria throughout the whole life (B) or only the post-developmental (adult-only) period (C, D) of the animal. daf-2 worms treated with daf-16 RNAi have defective STAM, as previously reported[2]. E) Knockdown of the neuronal IIS candidate genes zip-5 and best-23 does not affect STAM. Time-courses showing the chemotaxis index for each time point are shown in D and E. Learning indices are shown in B, C, F, and G. B–E) Two-way repeated measures ANOVA, Bonferroni post hoc tests. F) Treatment of daf-2 worms with neuronal DAF-16 target RNAi does not affect short-term associative learning. G) Neuronal-RNAi sensitive worms (Punc-119::sid-1) in a wild-type background were treated only during adulthood with RNAi targeted against the neuronal DAF-16 target genes. (0h) Learning and 1 h short-term associative memory time points are shown. A–G) Mean ± SEM, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. A) Six adult mechanosensory neurons labeled by mec-4p::GFP were isolated for RNA-seq. B) Axon length from the cell body to the site of injury was measured in µm immediately after axotomy and 24 hours later. Regenerative capacity of wild-type PLM axons declines from day 1 to day 5 of adulthood. C) Day 5 wild-type animals regrow axons that are significantly shorter than in Day 1 animals. D) Axotomies of daf-2 mutants grown on vector control, sod-3, or daf-16 RNAi demonstrate that sod-3, a lifespan-regulating DAF-16 target, does not influence the axon regeneration capacity of daf-2 worms at Day 5 of adulthood. E) fkh-9 does not affect the regenerative capacity of daf-2 axons on Day 1 of adulthood. F) fkh-9 is not required for axon regeneration in Day 1 adults. B–F) Mean ± SEM, Fisher’s exact test, *p < 0.05. G) Overexpression of the a and b isoforms of fkh-9 in wild-type animals causes axonal structural defects. Rescuing fkh-9 activity in the mechanosensory neurons of daf-2;fkh-9 mutants results in severe beading and degeneration of axons. Wormbase (www.wormbase.org) gene models for (A) fkh-9 and (B) sod-3 are shown with modENCODE data for DAF-16 ChIP-seq experiments. A) Primer sets for ChIP-qPCR are depicted. C) Posterior intestinal FKH-9::GFP expression is only modestly increased in daf-2 compared to wild-type animals expressing fkh-9p::fkh-9::gfp. N= 25 animals. A, B) Whole-life RNAi of fkh-9 reduces daf-2 STAM. C) RNAi knockdown of fkh-9 exclusively during adulthood results in reduced daf-2 STAM comparable to daf-16 RNAi-treatment. D, E) daf-2;fkh-9 mutants have reduced learning (tested immediately following STAM training) and STAM compared to daf-2. Mean ± SEM, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. Mean ± SEM, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. Time-courses showing the chemotaxis index for each time point are shown in B and E. Learning indices are shown in A, C, and D. Adult-only (A) or whole-life (B) fkh-9 RNAi treatment increases matricide in daf-2 worms. The cumulative % of animals dead as a result of bagging and/or exploding was recorded every other day. Two biological replicates were performed, with a representative experiment shown. C) Neuronal rescue of fkh-9 in daf-2;fkh-9 animals does not diminish the rate of vulval protrusions with age. N ≥ 60 per conditions for each experiment. D) Neuronal rescue of fkh-9 does not restore longevity of the daf-2;fkh-9 double mutant. daf-2 median lifespan: 41 days, daf-2;fkh-9 20 days, daf-2;fkh-9;Punc-119::fkh-9 20 days. p < 0.0001 for daf-2 vs. both daf-2;fkh-9 and daf-2;fkh-9;Punc-119::fkh-9. N=112 worms per strain. Censor rate for daf-2 19%, daf-2;fkh-9 51%, daf-2;fkh-9;Punc-119::fkh-9 56%.
  32 in total

1.  Aging-dependent and -independent modulation of associative learning behavior by insulin/insulin-like growth factor-1 signal in Caenorhabditis elegans.

Authors:  Hana Murakami; Karalee Bessinger; Jason Hellmann; Shin Murakami
Journal:  J Neurosci       Date:  2005-11-23       Impact factor: 6.167

2.  The C. elegans TGF-beta Dauer pathway regulates longevity via insulin signaling.

Authors:  Wendy M Shaw; Shijing Luo; Jessica Landis; Jasmine Ashraf; Coleen T Murphy
Journal:  Curr Biol       Date:  2007-09-27       Impact factor: 10.834

3.  Spontaneous age-related neurite branching in Caenorhabditis elegans.

Authors:  Elizabeth M H Tank; Kasey E Rodgers; Cynthia Kenyon
Journal:  J Neurosci       Date:  2011-06-22       Impact factor: 6.167

4.  TGF-β and insulin signaling regulate reproductive aging via oocyte and germline quality maintenance.

Authors:  Shijing Luo; Gunnar A Kleemann; Jasmine M Ashraf; Wendy M Shaw; Coleen T Murphy
Journal:  Cell       Date:  2010-10-15       Impact factor: 41.582

5.  Genome-wide functional analysis of CREB/long-term memory-dependent transcription reveals distinct basal and memory gene expression programs.

Authors:  Vanisha Lakhina; Rachel N Arey; Rachel Kaletsky; Amanda Kauffman; Geneva Stein; William Keyes; Daniel Xu; Coleen T Murphy
Journal:  Neuron       Date:  2015-01-21       Impact factor: 17.173

6.  Insulin signaling and dietary restriction differentially influence the decline of learning and memory with age.

Authors:  Amanda L Kauffman; Jasmine M Ashraf; M Ryan Corces-Zimmerman; Jessica N Landis; Coleen T Murphy
Journal:  PLoS Biol       Date:  2010-05-18       Impact factor: 8.029

7.  Pan-neuronal expression of APL-1, an APP-related protein, disrupts olfactory, gustatory, and touch plasticity in Caenorhabditis elegans.

Authors:  Collin Y Ewald; Ruby Cheng; Lana Tolen; Vishal Shah; Aneela Gillani; Afsana Nasrin; Chris Li
Journal:  J Neurosci       Date:  2012-07-25       Impact factor: 6.167

8.  Tissue-specific activities of C. elegans DAF-16 in the regulation of lifespan.

Authors:  Nataliya Libina; Jennifer R Berman; Cynthia Kenyon
Journal:  Cell       Date:  2003-11-14       Impact factor: 41.582

9.  Dauer-independent insulin/IGF-1-signalling implicates collagen remodelling in longevity.

Authors:  Collin Y Ewald; Jess N Landis; Jess Porter Abate; Coleen T Murphy; T Keith Blackwell
Journal:  Nature       Date:  2014-12-15       Impact factor: 49.962

10.  New genes tied to endocrine, metabolic, and dietary regulation of lifespan from a Caenorhabditis elegans genomic RNAi screen.

Authors:  Malene Hansen; Ao-Lin Hsu; Andrew Dillin; Cynthia Kenyon
Journal:  PLoS Genet       Date:  2005-07-25       Impact factor: 5.917

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  86 in total

1.  Role of Caenorhabditis elegans AKT-1/2 and SGK-1 in Manganese Toxicity.

Authors:  Tanara V Peres; Leticia P Arantes; Mahfuzur R Miah; Julia Bornhorst; Tanja Schwerdtle; Aaron B Bowman; Rodrigo B Leal; Michael Aschner
Journal:  Neurotox Res       Date:  2018-06-07       Impact factor: 3.911

2.  Activation of Gαq Signaling Enhances Memory Consolidation and Slows Cognitive Decline.

Authors:  Rachel N Arey; Geneva M Stein; Rachel Kaletsky; Amanda Kauffman; Coleen T Murphy
Journal:  Neuron       Date:  2018-04-12       Impact factor: 17.173

3.  Piwi/PRG-1 Argonaute and TGF-β Mediate Transgenerational Learned Pathogenic Avoidance.

Authors:  Rebecca S Moore; Rachel Kaletsky; Coleen T Murphy
Journal:  Cell       Date:  2019-06-06       Impact factor: 41.582

4.  Regulation of UNC-40/DCC and UNC-6/Netrin by DAF-16 promotes functional rewiring of the injured axon.

Authors:  Atrayee Basu; Sibaram Behera; Smriti Bhardwaj; Shirshendu Dey; Anindya Ghosh-Roy
Journal:  Development       Date:  2021-06-10       Impact factor: 6.868

5.  Genome-Wide Temporal Expression Profiling in Caenorhabditis elegans Identifies a Core Gene Set Related to Long-Term Memory.

Authors:  Virginie Freytag; Sabine Probst; Nils Hadziselimovic; Csaba Boglari; Yannick Hauser; Fabian Peter; Bank Gabor Fenyves; Annette Milnik; Philippe Demougin; Vanja Vukojevic; Dominique J-F de Quervain; Andreas Papassotiropoulos; Attila Stetak
Journal:  J Neurosci       Date:  2017-06-07       Impact factor: 6.167

6.  A Neuronal piRNA Pathway Inhibits Axon Regeneration in C. elegans.

Authors:  Kyung Won Kim; Ngang Heok Tang; Matthew G Andrusiak; Zilu Wu; Andrew D Chisholm; Yishi Jin
Journal:  Neuron       Date:  2018-01-27       Impact factor: 17.173

7.  Inhibition of Axon Regeneration by Liquid-like TIAR-2 Granules.

Authors:  Matthew G Andrusiak; Panid Sharifnia; Xiaohui Lyu; Zhiping Wang; Andrea M Dickey; Zilu Wu; Andrew D Chisholm; Yishi Jin
Journal:  Neuron       Date:  2019-08-01       Impact factor: 17.173

8.  Antistress and anti-aging activities of Caenorhabditis elegans were enhanced by Momordica saponin extract.

Authors:  Chunxiu Lin; Yue Chen; Yizi Lin; Xuebei Wang; Lanyun Hu; Yong Cao; Yunjiao Chen
Journal:  Eur J Nutr       Date:  2020-08-29       Impact factor: 5.614

Review 9.  Fox transcription factors: from development to disease.

Authors:  Maria L Golson; Klaus H Kaestner
Journal:  Development       Date:  2016-12-15       Impact factor: 6.868

Review 10.  Axon regeneration in C. elegans: Worming our way to mechanisms of axon regeneration.

Authors:  Alexandra B Byrne; Marc Hammarlund
Journal:  Exp Neurol       Date:  2016-08-26       Impact factor: 5.330

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