Abstract
Argonaute (AGO) proteins partner with microRNAs (miRNAs) to target specific genes for post-transcriptional regulation. During larval development in Caenorhabditis elegans, Argonaute-Like Gene 1 (ALG-1) is the primary mediator of the miRNA pathway, while the related ALG-2 protein is largely dispensable. Here we show that in adult C. elegans these AGOs are differentially expressed and, surprisingly, work in opposition to each other; alg-1 promotes longevity, whereas alg-2 restricts lifespan. Transcriptional profiling of adult animals revealed that distinct miRNAs and largely non-overlapping sets of protein-coding genes are misregulated in alg-1 and alg-2 mutants. Interestingly, many of the differentially expressed genes are downstream targets of the Insulin/ IGF-1 Signaling (IIS) pathway, which controls lifespan by regulating the activity of the DAF-16/ FOXO transcription factor. Consistent with this observation, we show that daf-16 is required for the extended lifespan of alg-2 mutants. Furthermore, the long lifespan of daf-2 insulin receptor mutants, which depends on daf-16, is strongly reduced in animals lacking alg-1 activity. This work establishes an important role for AGO-mediated gene regulation in aging C. elegans and illustrates that the activity of homologous genes can switch from complementary to antagonistic, depending on the life stage.
Author summary
Tiny non-coding RNAs called microRNAs (miRNAs) are broadly conserved across animal species and have established roles in regulating development, metabolism and behavior. In humans, aberrant expression or function of specific miRNAs has been associated with a wide variety of diseases, underscoring the critical role of these molecules in organismal viability. Argonaute (AGO) proteins are essential co-factors for miRNAs to regulate the expression of target genes. In C. elegans nematodes, two highly related AGOs (ALG-1 and ALG-2; Argonaute-Like Genes) play largely overlapping roles in the miRNA pathway during development. Here we report that the activities of these two AGOs diverge in aging animals, as loss of ALG-1 shortens lifespan, while loss of ALG-2 extends it. These opposite longevity phenotypes are associated with differential regulation of specific miRNAs and protein-coding genes that act in the Insulin/ IGF-1 Signaling (IIS) pathway. Furthermore, we present genetic evidence that alg-1 and alg-2 operate within this pathway to impact aging. In sum, our findings reveal that two related AGOs function antagonistically within the conserved insulin signaling pathway that regulates longevity.
Introduction
As components of the microRNA (miRNA) induced silencing complex (miRISC), miRNAs use partial base pairing to tether Argonaute (AGO) and associated proteins to specific target RNAs, typically resulting in RNA destabilization [1]. Each miRNA has multiple targets and regulation of individual targets ranges from fine-tuning to robust silencing [2]. Across multicellular organisms, miRNAs play integral roles in many different pathways, and changes in miRNA expression or function have been linked to numerous human diseases, including cancer, heart ailments and neuronal pathologies [3, 4].
Target regulation by miRNAs is dependent on the availability and function of AGO proteins. Of the 25 different AGOs in C. elegans, only three appear to be dedicated to the miRNA pathway [5–7]. ALG-1 (AGO-Like Gene 1) and ALG-2 are broadly expressed and bind most miRNAs, whereas ALG-5 is restricted to the germline and associates with a small subset of miRNAs [5, 8]. The alg-1 and alg-2 genes encode proteins that are over 75% identical at the amino acid level and appear to share similar spatiotemporal expression patterns during embryogenesis and larval development [8, 9]. Although alg-1 loss-of-function mutants exhibit mild to severe developmental defects, alg-2 null mutants appear to develop normally [6, 8–10]. Furthermore, global misregulation of miRNA biogenesis and target regulation is observed in animals deficient in alg-1 alone [10–12]. Although alg-2 cannot fully compensate for the absence of alg-1 during larval development, embryonic lethality is only observed when both of these AGOs are depleted [6, 8]. Additionally, loss of either alg-1 or alg-2 results in a reduced brood size, decreased numbers of oocytes and defects in ovulation [5, 13, 14]. Overall, ALG-1 appears to serve as the primary AGO for the miRNA pathway during development with ALG-2 contributing mostly redundant functions.
MiRNA activity is also important for the viability of adult C. elegans. Depletion of alg-1 or alg-2 by RNAi has been shown to reduce the lifespan of adult animals [15, 16]. Likewise, animals deficient in Pasha/ DGCR8, an RNA binding protein required for the processing of most miRNAs, are short lived [17]. Thus, the general loss of mature miRNAs or the AGOs needed for their function reduces lifespan. However, individual miRNAs have also been found to regulate nematode longevity. In some instances loss of specific miRNAs (lin-4, miR-71, miR-238, miR-246 or miR-228) has resulted in shortened lifespan, whereas in others (miR-80 or miR-239a/b) lifespan extension has been observed [18–23]. Presumably, misregulation of specific targets in the miRNA mutant backgrounds is responsible for the effects on lifespan. In the case of lin-4 mutants, up-regulation of the lin-14 target seems to underlie the reduced lifespan of this strain [18]. In general though, it is largely unknown how the changes in gene expression caused by loss of individual miRNAs or their AGO cofactors affect aging.
Studies in C. elegans and other short-lived model animals have revealed that organismal lifespan is shaped by several, partially distinct, genetic pathways. Reduced insulin signaling, dietary restriction, diminished mitochondrial respiration, and germline removal are all examples of conditions that increase longevity in a conserved fashion [24]. In C. elegans, the lin-4 miRNA functions within the Insulin/ IGF-1 signaling (IIS) pathway [18], miR-80 responds to dietary restriction [23], and let-7 family miRNAs promote the longevity of animals lacking germ cells [25].
In the canonical C. elegans IIS pathway, insulin-like peptides bind and activate the Insulin/ IGF-1 receptor DAF-2, which leads to a signaling cascade that ultimately phosphorylates the FOXO transcription factor DAF-16 and sequesters it from the nucleus [26]. In long-lived daf-2 mutants, phosphorylation-mediated inhibition of DAF-16 is relieved, allowing it to enter the nucleus and induce the expression of downstream targets that promote longevity. These up-regulated genes (Class I) are considered to be under the direct regulation of DAF-16 [27, 28], whereas another set of genes (Class II), involved in growth and development, undergo down-regulation when DAF-16 is active [27, 28]. Upon increased insulin signaling, the transcription factor PQM-1 localizes to the nucleus and induces the expression of Class II genes, while DAF-16 is restricted to the cytoplasm [28]. When insulin signaling is reduced, DAF-16 enters the nucleus and promotes the expression of Class I genes; at the same time, PQM-1 exits the nucleus, effectively preventing Class II gene transcription. Overall, shifts in the balance between Class I and Class II gene expression contribute to the lifespan phenotypes of mutants in the IIS pathway [28].
In this study, we discovered that the miRNA AGOs, ALG-1 and ALG-2, have distinct expression patterns and activities in aging C. elegans. We show that during adulthood the expression of alg-1 is rapidly down-regulated, whereas that of alg-2 is sustained. Surprisingly, the maintenance of alg-2 does not simply provide a replacement for alg-1 activity. Instead, we found that the two AGOs play opposing roles during adulthood, with alg-1 promoting longevity and alg-2 suppressing it. We detected differential expression patterns for specific miRNAs in alg-1 and alg-2 mutants that were consistent with their opposite lifespan phenotypes. Although largely distinct sets of protein-coding genes were misregulated in each of the AGO mutants, they converged on the IIS longevity pathway. We observed that Class I daf-16 targets were enriched in the genes down-regulated in alg-1 or up-regulated in alg-2 mutants. Consistent with these expression patterns, the extended lifespan of daf-2, which requires active daf-16, was significantly reduced in alg-1 mutants. Moreover, we found that daf-16 and two Class I genes, cest-1 and asah-1, were required for the enhanced longevity of alg-2 mutants. Altogether, our studies reveal opposing roles for two miRNA AGOs in the conserved IIS longevity pathway.
Results
Differential expression of ALG-1 and ALG-2 during adulthood in C. elegans
Previous studies have shown that the predominant miRNA Argonautes, ALG-1 and ALG-2, are expressed constitutively in developing C. elegans, with the highest levels detected in embryos [5, 8]. To analyze the expression of these AGOs in adult animals, we used genome editing methods [29] to tag the N-termini of the protein-coding sequences of the endogenous alg-1 and alg-2 genes with FLAG::GFP (ALG-1) or FLAG::RFP (ALG-2) moieties. To confirm that the tagged AGO proteins retained function, we subjected the strains to a sensitive phenotypic assay. The individual loss of alg-1 or alg-2 has no effect on embryonic viability. However, disruption of both genes results in nearly complete embryonic lethality [6, 8, 30]. While depletion of alg-2 by RNAi caused highly penetrant embryonic lethality in alg-1(gk214) loss-of-function mutants, the same RNAi treatment had no effect on embryo viability in the GFP::ALG-1 strain, demonstrating functionality of the edited gene (S1 Fig). Likewise, alg-1 (RNAi) resulted in embryonic lethality in alg-2(ok304) mutants but not in the RFP::ALG-2 strain, confirming that the edited alg-2 gene retained function (S1 Fig). The tagged genes produced the expected size AGO proteins, as detected with an anti-FLAG antibody (Fig 1A and 1B). While ALG-2 levels remained relatively constant from the fourth larval stage (L4) through day 11 of adulthood, ALG-1 levels decreased precipitously during adulthood (Fig 1A and 1B). The rapid decline in ALG-1 expression as animals entered adulthood was also observed using antibodies against the untagged ALG-1 protein in wildtype, as well as in the sterile spe-9(hc88) strain (see later for examples).
Analysis of GFP::ALG-1 and RFP::ALG-2 in live animals revealed broad spatial expression patterns for these AGOs (Fig 1C and 1D). In agreement with a previous study [8], we observed that both proteins were expressed in most somatic cells but exhibited some tissue specificity in the head region. Pharyngeal cells predominantly expressed GFP::ALG-1, while certain head neurons adjacent to the pharynx were enriched for RFP::ALG-2 (Fig 1C–1E). Consistent with the Western blot results, there was a global decline in expression of GFP::ALG-1 but not RFP::ALG-2 as the animals aged (Fig 1C–1E). We also analyzed the mRNA levels of alg-1 and alg-2, using the sterile spe-9(hc88) background to avoid signal from progeny developing inside of adult animals. Similar to the pattern of ALG-1 protein expression, we observed strong down-regulation of alg-1 mRNA levels in adult compared to L4 stage animals (Fig 1F), as previously reported [31]. Likewise, levels of alg-2 mRNA were unchanged or slightly elevated in adult versus L4 animals (Fig 1F), mirroring the expression of ALG-2 protein. Altogether, these results indicate that alg-1 and alg-2 have distinct spatial and temporal expression patterns.
Opposite effects of alg-1 and alg-2 on lifespan
The differential regulation of alg-1 and alg-2 expression at the onset of adulthood prompted us to investigate potential roles for these AGOs in aging. It was previously shown that depletion of alg-1 by RNAi treatment starting at the L4 stage leads to a shortened lifespan [15]. Consistent with this observation, we found that alg-1(gk214) loss-of-function mutants, which display mild developmental defects [10], have an average lifespan that is significantly shorter than that of WT (Fig 2A; S1 Table). Surprisingly, alg-2(ok304) loss-of-function mutants exhibited the opposite lifespan phenotype, living significantly longer than WT animals (Fig 2A; S1 Table). Initially, these results seemed to contradict a previous report that RNAi of alg-2 shortens the lifespan of WT and long-lived daf-2 mutant animals [16]. In that study, RNAi targeted a conserved domain in the alg-2 coding sequence (CDS), which shares a high degree of similarity with alg-1 (Fig 2B). To specifically repress alg-2 alone, we created an RNAi construct for targeting the alg-2 3’UTR, which lacks extensive sequence homology with alg-1. When WT animals were subjected to RNAi targeting either the alg-2 CDS or the 3’UTR, we observed opposite lifespan phenotypes (Fig 2C; S1 Table). In agreement with the aforementioned study [16], the original alg-2 CDS (RNAi) caused a significantly shortened lifespan. However, the extended lifespan of animals treated with alg-2 3’UTR (RNAi) was consistent with the phenotype of alg-2(ok304) genetic mutants. To further establish that lifespan extension was specifically associated with loss of alg-2 activity, we created a new alg-2 loss-of-function allele. The new alg-2(ap426) allele has an 8-nt deletion in the second exon (Fig 2B), which leads to a frameshift mutation and brings a premature stop codon into frame. The inability of this strain to produce viable embryos when treated with alg-1 (RNAi) confirmed that alg-2(ap426) is a new loss-of-function allele (S1 Fig). As observed for the alg-2(ok304) mutant, the lifespan of the alg-2(ap426) strain was significantly extended in comparison to WT animals (Fig 2D; S1 Table). Although both alg-2 genetic mutant strains exhibit increased longevity, the reason for the difference in the degree of lifespan extension is unclear. In summary, our studies show that miRNA AGOs play opposing roles during aging in C. elegans and suggest that alg-1 positively regulates lifespan, whereas alg-2 negatively impacts it.
Increased expression of alg-1 is insufficient for lifespan extension
Since loss of alg-1 reduces C. elegans lifespan and expression of this AGO was observed to be down-regulated with age, we considered the possibility that alg-2 mutants might express higher levels of ALG-1 and depend on this factor for their extended lifespan phenotype. Consistent with this idea, we found that the lifespan of alg-2(ok304) mutants was significantly shortened when alg-1 was depleted by RNAi starting at the L4 stage (Fig 3A; S1 Table). The lifespan of the alg-2(ok304) animals subjected to alg-1 (RNAi) was even shorter than that of WT animals treated with alg-1 (RNAi), indicating that loss of both miRNA AGOs during adulthood greatly reduces survival. Furthermore, we detected higher ALG-1 protein levels in alg-2(ok304) adults (Fig 3B). The sterile spe-9(hc88) background was used for analyses of ALG-1 protein levels to restrict detection to adult tissues. Although ALG-1 protein expression still decreased in the alg-2 mutant background, the levels were about 2-fold higher at days 2 and 5 of adulthood compared to the ALG-1 levels in WT animals (Fig 3B). The increased expression of ALG-1 in alg-2(ok304) mutants was also apparent in live animals, as detected by GFP::ALG-1 fluorescence (Fig 3C).
To test if elevated ALG-1 expression would be sufficient to induce longevity phenotypes, we created a new allele of alg-1. Since ALG-1 targets its own 3’UTR via multiple miRNA binding sites (Fig 3D) [12, 31, 32], we reasoned that replacement of the entire endogenous 3’UTR with one considered not to be a target of the miRNA complex might result in higher expression of ALG-1. The gene Y45F10D.4 was chosen because it appears to be stably expressed, is commonly used as a control gene in quantitative RT-PCR experiments, and its short 3’UTR lacks ALG-1 binding sites [12, 33, 34]. Replacement of the native alg-1 3’UTR with that of Y45F10D.4 (swap 3’UTR) resulted in ~2-fold increase in ALG-1 protein levels (Fig 3E), which was similar to the degree of up-regulation observed at days 2 and 5 of adulthood in alg-2(ok304) mutants (Fig 3B). Also comparable to alg-2 mutants, ALG-1 protein levels expressed from the edited gene still decreased as the animals transitioned from L4 to adult stages. This is likely due to transcriptional repression of alg-1, as a GFP-reporter driven by the alg-1 promoter is down-regulated in adult compared to L4 animals (S2 Fig). Overall, these results indicate that 3’UTR-mediated regulation does not fully account for the decline in ALG-1 levels during adulthood.
When we performed lifespan assays, we detected no significant difference between strains with the alg-1 gene affixed to its native 3’UTR or to the swapped 3’UTR (Fig 3F; S1 Table), which produced ALG-1 protein at levels similar to that of alg-2(ok304) (Fig 3B and 3E). It therefore seems unlikely that the dependence of alg-2 on alg-1 for increased lifespan (see Fig 3A) is simply through up-regulation of ALG-1 protein. Instead, it is possible that, while the loss of both miRNA AGOs is detrimental, ALG-1 and ALG-2 have some unique targets whose misregulation contributes to the opposite longevity phenotypes.
Distinct miRNA and mRNA expression patterns in alg-1 and alg-2 mutants
Previous studies have implicated several individual miRNAs as regulators of C. elegans lifespan (Fig 4A) [18, 20, 23]. To test if the expression of these aging-associated miRNAs is altered in alg-1 and alg-2 mutants, we analyzed their levels in RNA samples collected from WT and each of the AGO mutants at day 5 of adulthood. Day 5 was chosen because by this point the animals are mostly post-reproductive but still viable. In this panel, only two miRNAs, lin-4 and miR-71, were specifically down-regulated in alg-1 but not alg-2 mutants (Fig 4A). Conversely, the levels of miR-239a/b were increased in alg-1(gk214) and decreased in alg-2(ok304) (Fig 4A). These differential expression patterns in the AGO mutants are consistent with previously reported longevity phenotypes associated with these miRNAs; lin-4 or miR-71 mutants exhibit shortened lifespans, whereas miR-239a/b mutants display enhanced longevity [18, 20]. We also asked if there was preferential binding to either AGO by the aging-associated, or any other miRNAs, in day 5 adults. Through co-immunoprecipitation assays, thirteen and eleven different miRNAs were found to be predominantly associated with ALG-1 or ALG-2, respectively (Fig 4B and S2 Table). Notably, lin-4 and miR-71 were among the miRNAs enriched for binding to ALG-1 compared to ALG-2 (Fig 4B and S2 Table). This preference could underlie the reduced levels of lin-4 and miR-71 in alg-1 mutant animals (Fig 4A), since AGO-association stabilizes mature miRNAs [35].
Based on the differences in miRNA expression and AGO-binding, we predicted that distinct sets of protein-coding genes would be misregulated in alg-1 and alg-2 mutants. Transcriptome profiling revealed extensive changes in gene expression in the alg-1(gk214) mutants compared to WT day 5 adults. We detected significant up-regulation of 3,184 and down-regulation of 5,742 genes in the alg-1(gk214) mutants (S3 Table). In contrast, only 81 and 133 genes were up- or down-regulated, respectively, in alg-2(ok304) mutants compared to WT animals (S3 Table). Notably, there was minimal overlap in genes up-regulated in both AGO mutants (Fig 4C), and each set of genes was enriched for distinct Biological Process Gene Ontology (GO) terms (Fig 4C; S4 Table). Two-thirds of the genes down-regulated in alg-2(ok304) mutants were also down in alg-1(gk214) animals. Despite this overlap, the unique down-regulated gene sets in each AGO mutant were also enriched for distinct GO terms (Fig 4C; S4 Table).
We next asked if the differential gene expression patterns might be associated with the altered miRNA levels in the alg-1 mutants; too few genes were changed in alg-2(ok304) to test for enrichment or depletion of miRNA target sites. Strikingly, genes up-regulated in alg-1(gk214) were enriched for 3’UTR sequences that could pair to the seed region, nucleotides 2–7, of lin-4 and miR-71 (Fig 4D). While the increased levels of miR-239a/b in alg-1 mutants were expected to result in stronger target repression, this signature was not observed in the alg-1 down-regulated gene set (Fig 4D). When we considered only conserved miRNA targets sites predicted by the TargetScan algorithm [36, 37], over 50% of the lin-4 targets were up-regulated in alg-1 mutants (Fig 4E). Additionally, almost twice as many conserved miR-71 targets were in the up- compared to down-regulated alg-1(gk214) genes (Fig 4E). There are four genes up-regulated in alg-1 mutants that have conserved target sites for both lin-4 and miR-71 in their 3’UTRs. One of these targets, lin-14, has previously been shown to contribute to the shortened lifespan of lin-4 mutant animals [18]. Taken together, the decreased expression of lin-4 and miR-71 in alg-1 mutants likely results in the up-regulation of lin-14 and other predicted targets of these miRNAs, which contributes to their shortened lifespan.
Differential regulation of genes in the IIS pathway by alg-1 and alg-2
Loss of lin-4 or miR-71 reduces lifespan and loss of miR-239a/b extends it, at least partially through the insulin signaling pathway [18, 20]. Since these miRNAs were differentially expressed in the AGO mutants (Fig 4A), we asked if the IIS pathway would also be affected by alg-1 or alg-2 deficiency. The nuclear residence of the FOXO transcription factor DAF-16 is an indicator of insulin signaling levels, with reduced signaling promoting nuclear accumulation, transcription of Class I DAF-16 targets and lifespan extension [28, 38–40]. If the AGOs function upstream of DAF-16, then the prediction is that nuclear residence of DAF-16 will be reduced in alg-1 and increased in alg-2 mutant backgrounds. Examination of strains expressing a DAF-16::GFP transgene that rescues the short lifespan of daf-16(mu86) mutants [41] revealed no obvious differences in the diffuse pattern of DAF-16 localization in the alg-2(ok304) background compared to WT (Fig 5A; S3 Fig). When nuclear accumulation was detected in these strains, it was restricted to the most anterior intestinal cells. In contrast, nuclear accumulation of DAF-16::GFP in multiple intestinal cells of daf-2(e1370) mutants was readily detected (Fig 5A; S3 Fig). Interestingly, the nuclear localization of DAF-16::GFP was significantly lower in alg-1 mutants than in WT animals (Fig 5A; S3 Fig). These results suggest that loss of alg-1, but not alg-2, alters the nuclear residence of DAF-16.
To further explore the possibility that alg-1 and alg-2 differentially impact the IIS longevity pathway, we examined the expression of genes considered positive (Class I) and negative (Class II) targets of daf-16 regulation in each of the AGO mutants at day 5 of adulthood [27, 28]. Consistent with reduced nuclear localization of DAF-16::GFP (Fig 5A), there was substantial overlap between the most strongly down-regulated genes in alg-1(gk214) mutants and those positively regulated by daf-16 (Fig 5B). We observed that 33% of the genes reduced by at least 4-fold in the alg-1(gk214) mutants belong to Class I (Fig 5B). Some of these Class I down-regulated genes encode proteins with cytochrome P450 (cyp-35B2), oxidoreductase (sodh-1) and glutathione-S-transferase (ortholog of human GSTP1) activities, and RNAi depletion of these factors in WT animals shortens lifespan [27, 42]. Unexpectedly, the set of highly down-regulated genes in alg-1(gk214) was also enriched for Class II genes (Fig 5B). The alg-1 up-regulated genes were not enriched for either Class, although the total number of Class I genes in this category exceeds that in the down-regulated gene set (Fig 5B). Thus, the relationship between the effect of alg-1 on DAF-16 nuclear localization and regulation of Class I and II genes is not straightforward.
Although nuclear accumulation of DAF-16::GFP in intestinal cells was indistinguishable in alg-2(ok304) versus WT animals (Fig 5A), we observed a striking signature of altered daf-16 output in the alg-2 mutants. We found that 35% of all the genes significantly up-regulated in alg-2(ok304) mutants compared to WT animals were Class I DAF-16 targets (Fig 5B), including three genes (lea-1, asp-3 and cdr-6) previously implicated in C. elegans stress tolerance or lifespan control [27, 43, 44]. Additionally, of the genes down-regulated in alg-2 mutants, more than five times as many are considered Class II versus Class I genes (Fig 5B). Thus, alg-2 regulates the expression, directly or indirectly, of many positive and negative targets of daf-16 activity.
Opposite effects of alg-1 and alg-2 on longevity through the IIS pathway
Since the gene expression profiles of alg-1(gk214) and alg-2(ok304) mutants indicated that the IIS pathway is perturbed in these mutants, we next asked if their altered lifespan phenotypes were dependent on key regulators of this pathway. We found that the reduced lifespan of alg-1(gk214) mutants was suppressed in the daf-2(e1370) mutant background (Fig 5C; S1 Table). However, the mean lifespan of the alg-1(gk214); daf-2(e1370) double mutant was about 30% shorter than that of daf-2(e1370) alone. Although caution must be exerted when interpreting the combined effect of incomplete loss-of-function mutations, the results suggest that daf-2 mutants are partially dependent on alg-1 activity for their extended lifespan phenotype. When alg-1(gk214) was combined with daf-16(mu86), the mean lifespan of the double mutants was slightly shorter than that of either single mutant (Fig 5C; S1 Table), making it likely that the reduced lifespan of alg-1(gk214) mutants is not entirely through down-regulation of daf-16 activity. This is not surprising given the large fraction of genes misregulated in alg-1(gk214) mutants at day 5 of adulthood, and the previous reports that loss of lin-4 or miR-71 can impact multiple longevity pathways [18–20, 22, 31].
Interestingly, the long lifespans of alg-2(ok304) and daf-2(e1370) single mutants were additive in strains harboring both mutations (Fig 5D; S1 Table). One interpretation of this result is that independent pathways contribute to the long lifespan of each mutant strain. However, the data are also consistent with the possibility that the loss of alg-2 further weakens daf-2 signaling, since the daf-2(e1370) allele is non-null. For example, it has been shown that the long lifespan of a hypomorphic daf-2 mutant strain can be further extended by daf-2 (RNAi) treatment [45]. Regardless of mechanism, the long lifespan of alg-2(ok304) mutants was completely suppressed by the daf-16(mu86) mutation (Fig 5D; S1 Table). The nearly identical short lifespan curves of daf-16 and alg-2; daf-16 mutants indicate that the long lifespan of alg-2(ok304) animals is dependent on daf-16. Overall, these results illustrate the disparate effects of two miRNA AGOs on the regulation of gene expression and lifespan through the IIS pathway during C. elegans aging.
Since the genetic evidence indicates that daf-16 is required for the extended lifespan of alg-2 mutants, we asked if up-regulated Class I genes in alg-2(ok304) contribute to their longevity phenotype. We focused on asah-1 (N-Acylsphingosine amidohydrolase 1; K11D2.2) because it was previously reported that RNAi of this gene partially reduced the extended lifespan of daf-2 mutants [27] and cest-1 (carboxyl esterase domain containing 1; T02B5.1) because it is the highest ranking Class I gene (13 out of 1663) up-regulated in the alg-2 mutants [28]. We found that the extended lifespan of alg-2(ok304) was almost completely suppressed in animals subjected to RNAi of asah-1 or cest-1 starting at the L4 stage of development (Fig 5E and 5F). Notably, RNAi of asah-1 or cest-1, compared to vector control RNAi, had no significant effect on the lifespan of WT animals (Fig 5E and 5F), indicating that this treatment did not generally reduce viability. These results suggest that increased expression of asah-1, cest-1 and possibly other Class I targets in alg-2 mutants contributes to the extended lifespan of these animals.
The IIS pathway also controls the ability of larval C. elegans to arrest development and enter a specialized stage called dauer [46]. Normally, entry into the dauer stage occurs in response to harsh environmental conditions. However, animals with mutations in certain daf (dauer formation) genes inappropriately become dauers under favorable conditions. For example, daf-28(sa191) mutants produce an aberrant version of the DAF-28 insulin-like peptide that reduces DAF-2 signaling and causes dauer formation during optimal culture conditions at 20°C [47, 48]. Although alg-1(gk214) and alg-2(ok304) mutants did not form dauers at 20°C (S4 Fig), we asked if loss of either of these AGOs would modify the dauer phenotype of daf-28(sa191) animals. In this sensitized background, dauer formation was significantly suppressed by alg-1(gk214) and enhanced by alg-2(ok304) mutations (S4 Fig). Importantly, dauer formation in the alg-1;daf-28 and alg-2;daf-28 mutants was entirely dependent on daf-16 (S4 Fig). These results further demonstrate a role for the miRNA AGOs in IIS and exemplify their contrasting activities during another life stage.
Discussion
Here we show that the miRNA AGOs, ALG-1 and ALG-2, promote opposing fates during aging in C. elegans. Given their very high degree of homology and redundant roles in embryogenesis and larval development, dichotomous activities for these proteins were unexpected. We found that loss of alg-1 shortens and loss of alg-2 extends lifespan. Instead of compensating for the normally diminished levels of alg-1 in adult animals, the sustained expression of alg-2 during adulthood seems to limit lifespan. Consistent with the contrasting phenotypic effects due to loss of alg-1 or alg-2, distinct miRNAs and largely non-overlapping sets of protein-coding genes were found to be misregulated at day 5 of adulthood in these mutants. Nonetheless, the classes of differentially expressed genes in each mutant pointed to altered regulation of a common pathway–the Insulin/IGF-1 signaling (IIS) pathway. Our results indicate that alg-1 activity positively regulates the expression of many daf-16 target genes and contributes to the extended lifespan of daf-2 mutants. Conversely, alg-2 represses the expression of many daf-16 targets to limit lifespan. Overall, this work reveals that two seemingly homologous proteins can promote opposite fates in specific biological pathways and life stages.
Dynamic Argonaute expression patterns
As the core effector protein of miRISC, Argonaute is expected to display a broad spatiotemporal expression pattern. Previous work has shown that the C. elegans miRNA AGOs exhibit largely overlapping expression domains in most embryonic and larval tissues, which is consistent with their redundant functions at these stages [5, 8–10]. However, we observed a distinct pattern in adults where global ALG-1 levels plummeted as ALG-2 levels remained constant (Fig 1). Whereas the protein coding sequences of these AGO genes are ~75% identical, the regulatory sequences, including promoter and untranslated regions (UTRs), are highly divergent. Additionally, modENCODE data show very different transcription factor binding profiles for alg-1 and alg-2 [49], suggesting that these genes may be subject to distinct transcriptional control mechanisms.
The down-regulation of alg-1 as animals enter adulthood appears to be mediated by both transcriptional and post-transcriptional mechanisms. The alg-1 3’UTR contains many predicted miRNA target sites and biochemical experiments have detected association of this 3’UTR with ALG-1 and specific miRNAs, including miR-71, at the L4 stage (Fig 3D) [32]. Recently, Slack and colleagues confirmed that alg-1 is subject to regulation by miR-71 in adults; loss of this miRNA or its target sites in the alg-1 3’UTR resulted in increased ALG-1 levels [31]. Not surprisingly, then, exchange of the entire alg-1 3’UTR with one unlikely to be targeted by the miRNA complex resulted in higher levels of ALG-1 protein (Fig 3E). This increase resembled the elevated levels of ALG-1 observed in alg-2(ok304) adults (Fig 3B), raising the possibility that alg-2 directly or indirectly regulates the expression of alg-1 through its 3’UTR at this life stage. However, this pathway is only partially responsible for the down-regulation of ALG-1 in adult animals, since levels of ALG-1 still decreased in the absence of alg-2 or the native alg-1 3’UTR (Fig 3B and 3E). A GFP reporter fused to only the promoter sequences of alg-1 also displayed marked down-regulation at the adult compared to larval stages, pointing to a layer of transcriptional control for limiting alg-1 expression in adults (S2 Fig). While the alg-1 and alg-2 genes have maintained a very high degree of protein sequence identity, they apparently have evolved distinct regulatory elements that drive divergent expression patterns in C. elegans transitioning from the larval to adult stages.
Divergent roles for alg-1 and alg-2 in adult animals
The previously described complementary roles of alg-1 and alg-2 during embryogenesis and larval development are consistent with the similar expression patterns of these highly homologous proteins at these stages [5, 6, 8–10]. The opposing effects of alg-1 and alg-2 on lifespan seem to act specifically at adulthood, since depletion of either gene starting at the L4 stage was sufficient to produce longevity phenotypes (Figs 2C and 3A). Notably, RNAi targeting sequences in the alg-2 3’UTR that lacked homology with alg-1 was necessary for observing a lifespan extension phenotype similar to that exhibited by alg-2 loss-of-function genetic mutants (Fig 2). This illustrates that while RNAi can be useful for depleting the expression of related genes that might have redundant functions, it can also obscure potentially distinct phenotypes of individual homologs.
Presently, it is unclear if the contrasting roles of alg-1 and alg-2 during aging are due to differences in expression or protein function. We found that alg-1 is strongly down-regulated in adult animals (Fig 1). Yet, genetic or RNAi-induced loss of alg-1 shortened lifespan (Figs 2 and 3), suggesting that the residual expression of ALG-1 in WT animals is important for longevity. However, increasing ALG-1 protein levels by ~2-fold did not produce a lifespan phenotype (Fig 3E and 3F). Thus, normal aging depends on a minimal level of ALG-1, but doubling its expression does not have an obvious effect on lifespan.
Although the ALG-1 and ALG-2 proteins are predicted to be structurally very similar given their high degree of sequence identity [6, 8, 9], a few functional differences have been reported. Non-overlapping sets of genes have been found to have synthetic lethal interactions with alg-1 or alg-2 mutant animals [9]. This study also reported that ectopically expressed ALG-1 and ALG-2 fractionate into distinct complexes, yet associate with the same populations of miRNAs [9]. However, other studies found that some miRNAs were enriched for association with ALG-1 or ALG-2 in different stages of larval development [5, 8], consistent with our observations in adult animals (Fig 4B). Finally, through unique sequences in its N-terminal domain, ALG-1, but not ALG-2, binds the Receptor for Activated C-Kinase (RACK1) [50]. This interaction was shown to contribute to the repressive function of miRISC in C. elegans [50], although additional roles for RACK1 in miRNA biogenesis and stability have been proposed [51–53]. Some of these reported differences in alg-1 and alg-2 might be related to the contrasting roles of these genes during aging. However, since alg-1 and alg-2 functionally overlap during embryonic and larval development, there would need to be an adult-specific mechanism to convert these AGOs into proteins with opposing activities. For example, protein modifications or the expression of different binding partners restricted to adulthood could enable the regulation of distinct targets by ALG-1 and ALG-2. Our identification of miRNAs and protein-coding genes differentially regulated by alg-1 and alg-2 at day 5 of adulthood further illustrates the divergent activities of these AGOs during aging and points to a common pathway that could explain the opposite effects of these genes on lifespan.
Differential effects on IIS by alg-1 and alg-2
Regulation of lifespan through the IIS pathway is almost entirely dependent on the conserved transcription factor DAF-16. When IIS is low, activated and nuclear localized DAF-16 promotes the transcription of hundreds of genes, which ultimately results in animals with longer and healthier lifespans [24]. Although some individual DAF-16 targets have been shown to regulate longevity, in general the cumulative up- or down-regulation of many genes controlled by daf-16 is likely responsible for the impressive lifespan phenotypes exhibited by mutants with reduced insulin signaling [54]. Considering the central role of daf-16 in longevity control by IIS, the misregulation of many DAF-16 targets in alg-1 and alg-2 mutants suggests that these AGOs regulate lifespan, at least in part, via this pathway. Consistent with the reduced nuclear residence of DAF-16 detected in alg-1 mutants (Fig 5A), about one-third of the most strongly down-regulated genes in these animals are classified as high confidence direct DAF-16 targets (Class I) (Fig 5B) [28]. Since individual depletion by RNAi of some of the genes on this list, such as cyp-35B2 and sodh-1, results in reduced longevity [27], it is likely that decreased expression of these and many other DAF-16 targets in alg-1 mutants contributes to their shortened lifespan.
Since we also found that alg-1; daf-16 double mutants have slightly shorter lifespans than either mutant alone (Fig 5C), the loss of alg-1 likely impacts other mediators of longevity. A good candidate is the heat-shock factor, hsf-1, which we found to be down-regulated in the alg-1 mutant, and expression of its target hsp-12.6 was three-fold lower than that detected in WT animals at day 5 of adulthood (S3 Table). The reduction of hsf-1 or hsp-12.6 levels by RNAi has been shown to decrease lifespan [55, 56], and the overexpression of hsf-1 can extend lifespan [56], at least in part by supporting cytoskeletal integrity [57]. Thus, alg-1 activity may affect the output of two central transcription factors in the C. elegans aging program. Additionally, given the examples of individual miRNAs influencing aging through mechanisms other than IIS [19, 23], it is likely that alg-1 and alg-2 function in multiple longevity pathways.
Consistent with an extended lifespan phenotype, 35% of the genes up-regulated in alg-2 mutants are Class I DAF-16 targets (Fig 5B). Since RNAi depletion of two of the genes on this list, asp-3 and cdr-6, was previously reported to decrease the lifespan of WT animals [27, 44], it is possible that even a modest increase in a combination of these and other daf-16 targets could extend lifespan. We found that the Class I targets, asah-1 and cest-1, are up-regulated in alg-2(ok304) mutants and are required for the extended lifespan of these animals (Fig 5E and 5F). While these genes are predicted to encode broadly conserved enzymatic proteins, little is yet known about their functions in C. elegans. CEST-1 belongs to a large family of carboxylesterases, which generally catalyze the hydrolysis of carboxylic ester substrates [58]. In mammals, some carboxylesterases function in detoxification pathways, which could be relevant for a role in longevity [59]. Previously, RNAi depletion of asah-1 was shown to partially reduce the extended lifespan of daf-2 mutants, further implicating it as an important player in lifespan determination through the IIS pathway [27]. ASAH-1 is homologous to human N-Acylsphingosine amidohydrolase 1 (ASAH, also known as acid ceramidase), a lipid hydrolase that converts ceramide into sphingosine and fatty acids in lysosomes [60]. In humans, loss-of-function mutations in ASAH lead to Farber’s disease, a rare inherited metabolic disorder [60]. Additionally, altered expression of ASAH has been observed in some cancers, Alzheimer’s disease, and type II diabetes, which are all diseases associated with aging [61]. Our finding that cest-1 and asah-1 contribute to the extended lifespan of alg-2 mutants suggests that these predicted enzymes have longevity roles in adult animals.
The distinct set of miRNAs we found to be bound and regulated by ALG-1 and ALG-2 also reflects the divergent longevity roles of these AGOs in adult animals. Our data are consistent with a model where lin-4 and miR-71, in association with ALG-1, regulate IIS by repressing lin-14 and other factors in this pathway, such as daf-2, which has a conserved miR-71 site directly bound by this miRNA at the L4 stage [32, 36, 37]. Although we did not detect up-regulation at the mRNA level for daf-2 or any other core genes in the IIS pathway in day 5 alg-1(gk214) adults (S3 Table), the reduced nuclear localization of DAF-16, decreased expression of Class I genes and genetic interactions with daf-2 imply a role for ALG-1 in restricting insulin signaling. The up-regulation of miR-239a/b in alg-1(gk214) may also contribute to the shortened lifespan of these animals, since deletion of this miRNA locus results in increased longevity [20]. Likewise, reduced levels of miR-239a/b in alg-2(ok304) may factor into their extended lifespan. While previous genetic studies have shown that daf-16 is required for the extended lifespan of miR-239a/b mutants, direct targets of this miRNA that could be responsible for the longevity phenotype are yet to be identified [20].
In conclusion, our transcriptome profiling of day 5 adults revealed distinct gene expression patterns in alg-1 and alg-2 mutant animals. Although the differential expression of specific aging-associated miRNAs and daf-16 target genes is consistent with the opposite lifespan phenotypes, there may be other relevant changes not detectable by RNA expression analyses. Differences in protein levels or modifications may also contribute to lifespan regulation by the AGOs. Although the full set of molecular changes induced by loss of alg-1 or alg-2 is yet to be revealed, our gene expression analyses point to changes in IIS output and our genetic experiments confirm opposing roles for these miRNA AGOs in the regulation of longevity and dauer formation through the IIS pathway. Overall, this study establishes an important role for AGO-mediated gene regulation in C. elegans aging and reveals divergent activities for highly related proteins during specific life stages.
Materials and methods
Nematode culture and lifespan analyses
C. elegans strains were cultured under standard conditions and synchronized by hypochlorite treatment [62]. Lifespan analyses were conducted at 20°C in the absence of FUdR, as previously described [63]. Embryos were plated on NGM plates containing OP50 and the first day after the L4 stage was regarded as adult day 0 (AD 0). Worms were picked on fresh food every other day until reproduction ceased, and scored for viability every 2 to 3 days. Animals that died by bagging, bursting, or crawling off the plates were censored. JMP IN 8.0 software was used for statistical analysis and P-values were calculated using the log-rank (Mantel-Cox) method. Statistics for all assays are shown in S1 Table. RNAi experiments were conducted by feeding the animals dsRNA-expressing bacteria, as previously described [64]. See Supplemental Materials for a list of strains and details on generation of new strains (S1 Text).
Western blotting
Western blotting was performed as previously described [12, 65] using mouse monoclonal antibodies against tubulin (Sigma), FLAG (Sigma), or a custom rabbit polyclonal antibody against ALG-1 [12].
qRT-PCR
Quantitative RT-PCR analyses of mRNA (SYBR Green) and miRNA (Taqman) levels were performed according to manufacturer’s instructions with the StepOnePlus and QuantStudio 3 Real-Time PCR Systems (Applied Biosystems). Levels were normalized to Y45F10D.4 for mRNAs and U18 snoRNA for miRNAs.
RNA sequencing
Synchronized WT, alg-1(gk214) and alg-2(ok304) animals cultured at 20°C were collected at adult day 5 after removing eggs and progeny larvae. Adult C. elegans were separated from eggs and progeny on a daily basis by washing plates with M9 into conical tubes and allowing the adults to settle by gravity for a few minutes on a bench top. The supernatant containing larvae and eggs was then removed, and this process was repeated 3–7 times until eggs and larvae were no longer visible. Three independent RNA samples of each strain were prepared for RNA sequencing with the TruSeq Stranded Total RNA Library Prep Kit (Illumina) according to the Low Sample Protocol. 50-bp single-end indexed RNA sequencing libraries were prepared from 1 μg of RNA of each sample and used for sequencing on an Illumina HiSeq platform. Subsequent mapping of sequencing reads to the C. elegans genome (ce10) was performed using RNA-STAR [66]. Total read counts for each gene were then quantified using HTSeq [67]. These read counts were then input into DESeq [68] to determine log2-fold change and differential expression between the mutant and WT strains.
Co-immunoprecipitation and small RNA sequencing
Synchronized FLAG::GFP::ALG-1 (PQ530) and FLAG::RFP::ALG-2 (PQ582) animals cultured at 20°C were collected at adult day 5 after removing eggs and progeny larvae. Samples were collected and sonicated in 100 mM NaCl, 25 mM HEPES, 250 μM EDTA, 2 mM DTT, 0.1% (w/v) NP-40, 0.1% SDS, 1X Complete Mini Protease Inhibitor (Sigma Aldrich), and 25 U/mL rRNasin (N251A). Cell debris was removed by centrifugation and lysates were incubated with anti-FLAG (F1804) bound to Protein G Dynabeads (10004D) for 1 hour at 4°C. Following co-immunoprecipitation, beads were washed as previously described [65]. RNA was isolated to use for small RNA library preparation. Two independent RNA samples of each strain were prepared for RNA sequencing with the TruSeq small RNA Library Prep Kit (Illumina). RNA sequencing libraries were prepared from 1 μg of RNA of each sample and sequenced on an Illumina HiSeq 4000. Adapter sequences were removed, and using miRDeep2 small RNA sequences were mapped to the C. elegans genome (WS261) and quantified based on miRNA annotations from miRBase release 21 [69, 70]. To identify miRNAs that were enriched with ALG-1 or ALG-2, we first calculated the normalized reads (reads per million in the library). MiRNAs with more than 1.5-fold the number of normalized reads in one Argonaute co-IP versus the other, from independent replicates, were considered enriched. MiRNAs with less than 1000 reads across the libraries were not included in the enrichment analyses. The results are summarized in S2 Table.
Nuclear localization scoring
Synchronized HT1889 (daf-16(mgDf50); unc-119(ed3); lpIs14), HT1883 (daf-16(mgDf50); daf-2(e1370) unc-119(ed3); lpIs14), PQ585 (alg-1(gk214); daf-16(mgDf50); unc-119(ed3); lpIs14) and PQ586 (alg-2(ok304); daf-16(mgDf50); unc-119(ed3); lpIs14) animals cultured at 20°C were grown to L4 before being anesthetized with 1 mg/ml of Levamisole and imaged within a 20 min period at 40X magnification. Images of individual worms (n ≥ 11 for each strain) were presented to four blinded scorers who rated the degree of intestinal nuclear localization based on a provided key.
Supporting information
Acknowledgments
We thank Dr. Malene Hansen and members of the Pasquinelli Lab for helpful discussions and critical reading of the manuscript.
Data Availability
The RNA-seq datasets generated in this study are available from GEO under accession number GSE112775. All other relevant data are in the manuscript and its Supporting Information files. Reagents are available upon request.
Funding Statement
Support for this study was provided by the Sigrid Jusélius Foundation (http://sigridjuselius.fi/en/) and the Finnish Cultural Foundation (https://www.skr.fi/en) (A.P.A.), National Science Foundation (https://www.nsf.gov) Graduate Research Fellowships to J.P.B. (DGE-1144086) and L.B.C. (DGE-1650112), a UCSD Cellular and Molecular Genetics Training Program institutional grant from National Institute of General Medical Sciences (https://www.nigms.nih.gov/) (T32 GM007240) (W.P.S, L.B.C.) and a Ruth L. Kirschstein National Research Service Award from NIGMS (https://www.nigms.nih.gov/) (F32GM112426) (J.S.C.). This work was funded by grants from the NIH through NIGMS (https://www.nigms.nih.gov/) (GM071654) and National Institute on Aging (https://www.nia.nih.gov) (AG056562) and the American Federation of Aging Research (AFAR) (https://www.afar.org) to A.E.P. Some strains were provided by the C. elegans Genetics Center (CGC) (https://cgc.umn.edu), which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440) (https://orip.nih.gov). This work used the Extreme Science and Engineering Discovery Environment (XSEDE) Comet supercomputer at the San Diego Supercomputer Center (SDSC) (http://www.sdsc.edu) through allocation TG-BIO170027. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Jonas S, Izaurralde E. Towards a molecular understanding of microRNA-mediated gene silencing. Nat Rev Genet. 2015;16(7):421–33. doi: 10.1038/nrg3965 . [DOI] [PubMed] [Google Scholar]
- 2.Pasquinelli AE. MicroRNAs and their targets: recognition, regulation and an emerging reciprocal relationship. Nat Rev Genet. 2012;13(4):271–82. doi: 10.1038/nrg3162 . [DOI] [PubMed] [Google Scholar]
- 3.Paul P, Chakraborty A, Sarkar D, Langthasa M, Rahman M, Bari M, et al. Interplay between miRNAs and Human Diseases: A Review. J Cell Physiol. 2017. doi: 10.1002/jcp.25854 . [DOI] [PubMed] [Google Scholar]
- 4.Rupaimoole R, Slack FJ. MicroRNA therapeutics: towards a new era for the management of cancer and other diseases. Nat Rev Drug Discov. 2017. doi: 10.1038/nrd.2016.246 . [DOI] [PubMed] [Google Scholar]
- 5.Brown KC, Svendsen JM, Tucci RM, Montgomery BE, Montgomery TA. ALG-5 is a miRNA-associated Argonaute required for proper developmental timing in the Caenorhabditis elegans germline. Nucleic Acids Res. 2017;45(15):9093–107. doi: 10.1093/nar/gkx536 ; PubMed Central PMCID: PMCPMC5587817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Grishok A, Pasquinelli AE, Conte D, Li N, Parrish S, Ha I, et al. Genes and mechanisms related to RNA interference regulate expression of the small temporal RNAs that control C. elegans developmental timing. Cell. 2001;106(1):23–34. [DOI] [PubMed] [Google Scholar]
- 7.Yigit E, Batista PJ, Bei Y, Pang KM, Chen CC, Tolia NH, et al. Analysis of the C. elegans Argonaute family reveals that distinct Argonautes act sequentially during RNAi. Cell. 2006;127(4):747–57. doi: 10.1016/j.cell.2006.09.033 . [DOI] [PubMed] [Google Scholar]
- 8.Vasquez-Rifo A, Jannot G, Armisen J, Labouesse M, Bukhari SI, Rondeau EL, et al. Developmental characterization of the microRNA-specific C. elegans Argonautes alg-1 and alg-2. PLoS One. 2012;7(3):e33750 doi: 10.1371/journal.pone.0033750 ; PubMed Central PMCID: PMCPMC3309000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Tops BB, Plasterk RH, Ketting RF. The Caenorhabditis elegans Argonautes ALG-1 and ALG-2: almost identical yet different. Cold Spring Harb Symp Quant Biol. 2006;71:189–94. doi: 10.1101/sqb.2006.71.035 . [DOI] [PubMed] [Google Scholar]
- 10.Zinovyeva AY, Bouasker S, Simard MJ, Hammell CM, Ambros V. Mutations in conserved residues of the C. elegans microRNA Argonaute ALG-1 identify separable functions in ALG-1 miRISC loading and target repression. PLoS Genet. 2014;10(4):e1004286 doi: 10.1371/journal.pgen.1004286 ; PubMed Central PMCID: PMCPMC3998888. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Zinovyeva AY, Veksler-Lublinsky I, Vashisht AA, Wohlschlegel JA, Ambros VR. Caenorhabditis elegans ALG-1 antimorphic mutations uncover functions for Argonaute in microRNA guide strand selection and passenger strand disposal. Proc Natl Acad Sci U S A. 2015;112(38):E5271–80. doi: 10.1073/pnas.1506576112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Zisoulis DG, Lovci MT, Wilbert ML, Hutt KR, Liang TY, Pasquinelli AE, et al. Comprehensive discovery of endogenous Argonaute binding sites in Caenorhabditis elegans. Nat Struct Mol Biol. 2010;17(2):173–9. Epub 2010/01/12. nsmb.1745 [pii] doi: 10.1038/nsmb.1745 ; PubMed Central PMCID: PMC2834287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Bukhari SI, Vasquez-Rifo A, Gagne D, Paquet ER, Zetka M, Robert C, et al. The microRNA pathway controls germ cell proliferation and differentiation in C. elegans. Cell Res. 2012;22(6):1034–45. doi: 10.1038/cr.2012.31 ; PubMed Central PMCID: PMCPMC3367518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Rios C, Warren D, Olson B, Abbott AL. Functional analysis of microRNA pathway genes in the somatic gonad and germ cells during ovulation in C. elegans. Dev Biol. 2017;426(1):115–25. doi: 10.1016/j.ydbio.2017.04.007 ; PubMed Central PMCID: PMCPMC5716346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kato M, Chen X, Inukai S, Zhao H, Slack FJ. Age-associated changes in expression of small, noncoding RNAs, including microRNAs, in C. elegans. RNA. 2011;17(10):1804–20. doi: 10.1261/rna.2714411 ; PubMed Central PMCID: PMCPMC3185914. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Samuelson AV, Carr CE, Ruvkun G. Gene activities that mediate increased life span of C. elegans insulin-like signaling mutants. Genes Dev. 2007;21(22):2976–94. doi: 10.1101/gad.1588907 ; PubMed Central PMCID: PMCPMC2049198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lehrbach NJ, Castro C, Murfitt KJ, Abreu-Goodger C, Griffin JL, Miska EA. Post-developmental microRNA expression is required for normal physiology, and regulates aging in parallel to insulin/IGF-1 signaling in C. elegans. RNA. 2012;18(12):2220–35. doi: 10.1261/rna.035402.112 ; PubMed Central PMCID: PMCPMC3504673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Boehm M, Slack F. A developmental timing microRNA and its target regulate life span in C. elegans. Science. 2005;310(5756):1954–7. doi: 10.1126/science.1115596 . [DOI] [PubMed] [Google Scholar]
- 19.Boulias K, Horvitz HR. The C. elegans microRNA mir-71 acts in neurons to promote germline-mediated longevity through regulation of DAF-16/FOXO. Cell Metab. 2012;15(4):439–50. doi: 10.1016/j.cmet.2012.02.014 ; PubMed Central PMCID: PMCPMC3344382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.de Lencastre A, Pincus Z, Zhou K, Kato M, Lee SS, Slack FJ. MicroRNAs both promote and antagonize longevity in C. elegans. Curr Biol. 2010;20(24):2159–68. Epub 2010/12/07. S0960-9822(10)01440-5 [pii] doi: 10.1016/j.cub.2010.11.015 ; PubMed Central PMCID: PMC3023310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pincus Z, Smith-Vikos T, Slack FJ. MicroRNA predictors of longevity in Caenorhabditis elegans. PLoS Genet. 2011;7(9):e1002306 doi: 10.1371/journal.pgen.1002306 ; PubMed Central PMCID: PMCPMC3183074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Smith-Vikos T, de Lencastre A, Inukai S, Shlomchik M, Holtrup B, Slack FJ. MicroRNAs mediate dietary-restriction-induced longevity through PHA-4/FOXA and SKN-1/Nrf transcription factors. Curr Biol. 2014;24(19):2238–46. doi: 10.1016/j.cub.2014.08.013 ; PubMed Central PMCID: PMCPMC4208828. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Vora M, Shah M, Ostafi S, Onken B, Xue J, Ni JZ, et al. Deletion of microRNA-80 activates dietary restriction to extend C. elegans healthspan and lifespan. PLoS Genet. 2013;9(8):e1003737 doi: 10.1371/journal.pgen.1003737 ; PubMed Central PMCID: PMCPMC3757059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Kenyon CJ. The genetics of ageing. Nature. 2010;464(7288):504–12. doi: 10.1038/nature08980 . [DOI] [PubMed] [Google Scholar]
- 25.Shen Y, Wollam J, Magner D, Karalay O, Antebi A. A steroid receptor-microRNA switch regulates life span in response to signals from the gonad. Science. 2012;338(6113):1472–6. doi: 10.1126/science.1228967 ; PubMed Central PMCID: PMCPMC3909774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Murphy CT, Hu PJ. Insulin/insulin-like growth factor signaling in C. elegans In: The C. elegans Research Community W, editor. WormBook; 2013. December 26:1–43. doi: 10.1895/wormbook.1.164.1 ; PubMed Central PMCID: PMC4780952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Murphy CT, McCarroll SA, Bargmann CI, Fraser A, Kamath RS, Ahringer J, et al. Genes that act downstream of DAF-16 to influence the lifespan of Caenorhabditis elegans. Nature. 2003;424(6946):277–83. doi: 10.1038/nature01789 [DOI] [PubMed] [Google Scholar]
- 28.Tepper RG, Ashraf J, Kaletsky R, Kleemann G, Murphy CT, Bussemaker HJ. PQM-1 complements DAF-16 as a key transcriptional regulator of DAF-2-mediated development and longevity. Cell. 2013;154(3):676–90. doi: 10.1016/j.cell.2013.07.006 ; PubMed Central PMCID: PMCPMC3763726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Tzur YB, Friedland AE, Nadarajan S, Church GM, Calarco JA, Colaiacovo MP. Heritable custom genomic modifications in Caenorhabditis elegans via a CRISPR-Cas9 system. Genetics. 2013;195(3):1181–5. doi: 10.1534/genetics.113.156075 ; PubMed Central PMCID: PMCPMC3813848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Jannot G, Michaud P, Quevillon Huberdeau M, Morel-Berryman L, Brackbill JA, Piquet S, et al. GW182-Free microRNA Silencing Complex Controls Post-transcriptional Gene Expression during Caenorhabditis elegans Embryogenesis. PLoS Genet. 2016;12(12):e1006484 doi: 10.1371/journal.pgen.1006484 ; PubMed Central PMCID: PMCPMC5147811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Inukai S, Pincus Z, de Lencastre A, Slack FJ. A microRNA feedback loop regulates global microRNA abundance during aging. RNA. 2017. doi: 10.1261/rna.062190.117 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Broughton JP, Lovci MT, Huang JL, Yeo GW, Pasquinelli AE. Pairing beyond the Seed Supports MicroRNA Targeting Specificity. Mol Cell. 2016;64(2):320–33. doi: 10.1016/j.molcel.2016.09.004 ; PubMed Central PMCID: PMCPMC5074850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Zhang Y, Chen D, Smith MA, Zhang B, Pan X. Selection of reliable reference genes in Caenorhabditis elegans for analysis of nanotoxicity. PLoS One. 2012;7(3):e31849 doi: 10.1371/journal.pone.0031849 ; PubMed Central PMCID: PMCPMC3305280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Hoogewijs D, Houthoofd K, Matthijssens F, Vandesompele J, Vanfleteren JR. Selection and validation of a set of reliable reference genes for quantitative sod gene expression analysis in C. elegans. BMC Mol Biol. 2008;9:9 doi: 10.1186/1471-2199-9-9 ; PubMed Central PMCID: PMCPMC2254638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Kai ZS, Pasquinelli AE. MicroRNA assassins: factors that regulate the disappearance of miRNAs. Nat Struct Mol Biol. 2010;17(1):5–10. Epub 2010/01/07. nsmb.1762 [pii] doi: 10.1038/nsmb.1762 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Jan CH, Friedman RC, Ruby JG, Bartel DP. Formation, regulation and evolution of Caenorhabditis elegans 3'UTRs. Nature. 2011;469(7328):97–101. doi: 10.1038/nature09616 ; PubMed Central PMCID: PMCPMC3057491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Lewis BP, Burge CB, Bartel DP. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 2005;120(1):15–20. doi: 10.1016/j.cell.2004.12.035 [DOI] [PubMed] [Google Scholar]
- 38.Henderson ST, Johnson TE. daf-16 integrates developmental and environmental inputs to mediate aging in the nematode Caenorhabditis elegans. Curr Biol. 2001;11(24):1975–80. . [DOI] [PubMed] [Google Scholar]
- 39.Lee RY, Hench J, Ruvkun G. Regulation of C. elegans DAF-16 and its human ortholog FKHRL1 by the daf-2 insulin-like signaling pathway. Curr Biol. 2001;11(24):1950–7. . [DOI] [PubMed] [Google Scholar]
- 40.Lin K, Hsin H, Libina N, Kenyon C. Regulation of the Caenorhabditis elegans longevity protein DAF-16 by insulin/IGF-1 and germline signaling. Nat Genet. 2001;28(2):139–45. doi: 10.1038/88850 . [DOI] [PubMed] [Google Scholar]
- 41.Kwon ES, Narasimhan SD, Yen K, Tissenbaum HA. A new DAF-16 isoform regulates longevity. Nature. 2010;466(7305):498–502. doi: 10.1038/nature09184 ; PubMed Central PMCID: PMCPMC3109862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Ayyadevara S, Dandapat A, Singh SP, Siegel ER, Shmookler Reis RJ, Zimniak L, et al. Life span and stress resistance of Caenorhabditis elegans are differentially affected by glutathione transferases metabolizing 4-hydroxynon-2-enal. Mech Ageing Dev. 2007;128(2):196–205. doi: 10.1016/j.mad.2006.11.025 ; PubMed Central PMCID: PMCPMC1819584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Gal TZ, Glazer I, Koltai H. An LEA group 3 family member is involved in survival of C. elegans during exposure to stress. FEBS Lett. 2004;577(1–2):21–6. doi: 10.1016/j.febslet.2004.09.049 [DOI] [PubMed] [Google Scholar]
- 44.Dong J, Boyd WA, Freedman JH. Molecular characterization of two homologs of the Caenorhabditis elegans cadmium-responsive gene cdr-1: cdr-4 and cdr-6. J Mol Biol. 2008;376(3):621–33. doi: 10.1016/j.jmb.2007.11.094 ; PubMed Central PMCID: PMCPMC2262181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Arantes-Oliveira N, Apfeld J, Dillin A, Kenyon C. Regulation of life-span by germ-line stem cells in Caenorhabditis elegans. Science. 2002;295(5554):502–5. doi: 10.1126/science.1065768 [DOI] [PubMed] [Google Scholar]
- 46.Hu PJ. Dauer In: The C. elegans Research Community W, editor. WormBook; 2007. August 8:1–19. doi: 10.1895/wormbook.1.144.1 ; PubMed Central PMCID: PMC2890228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Li W, Kennedy SG, Ruvkun G. daf-28 encodes a C. elegans insulin superfamily member that is regulated by environmental cues and acts in the DAF-2 signaling pathway. Genes Dev. 2003;17(7):844–58. doi: 10.1101/gad.1066503 ; PubMed Central PMCID: PMCPMC196030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Malone EA, Inoue T, Thomas JH. Genetic Analysis of the Roles of daf-28 and age-1 in Regulating Caenorhabditis elegans Dauer Formation. Genetics. 1996;143(3):1193–205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Gerstein MB, Lu ZJ, Van Nostrand EL, Cheng C, Arshinoff BI, Liu T, et al. Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project. Science. 2010;330(6012):1775–87. doi: 10.1126/science.1196914 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Jannot G, Bajan S, Giguere NJ, Bouasker S, Banville IH, Piquet S, et al. The ribosomal protein RACK1 is required for microRNA function in both C. elegans and humans. EMBO Rep. 2011;12(6):581–6. doi: 10.1038/embor.2011.66 ; PubMed Central PMCID: PMCPMC3128278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Otsuka M, Takata A, Yoshikawa T, Kojima K, Kishikawa T, Shibata C, et al. Receptor for activated protein kinase C: requirement for efficient microRNA function and reduced expression in hepatocellular carcinoma. PLoS One. 2011;6(9):e24359 doi: 10.1371/journal.pone.0024359 ; PubMed Central PMCID: PMCPMC3174171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Speth C, Willing EM, Rausch S, Schneeberger K, Laubinger S. RACK1 scaffold proteins influence miRNA abundance in Arabidopsis. Plant J. 2013;76(3):433–45. doi: 10.1111/tpj.12308 . [DOI] [PubMed] [Google Scholar]
- 53.Chu YD, Wang WC, Chen SA, Hsu YT, Yeh MW, Slack FJ, et al. RACK-1 regulates let-7 microRNA expression and terminal cell differentiation in Caenorhabditis elegans. Cell Cycle. 2014;13(12):1995–2009. doi: 10.4161/cc.29017 ; PubMed Central PMCID: PMCPMC4111763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Murphy CT. The search for DAF-16/FOXO transcriptional targets: approaches and discoveries. Exp Gerontol. 2006;41(10):910–21. doi: 10.1016/j.exger.2006.06.040 . [DOI] [PubMed] [Google Scholar]
- 55.Garigan D, Hsu AL, Fraser AG, Kamath RS, Ahringer J, Kenyon C. Genetic analysis of tissue aging in Caenorhabditis elegans: a role for heat-shock factor and bacterial proliferation. Genetics. 2002;161(3):1101–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Hsu AL, Murphy CT, Kenyon C. Regulation of aging and age-related disease by DAF-16 and heat-shock factor. Science. 2003;300(5622):1142–5. doi: 10.1126/science.1083701 . [DOI] [PubMed] [Google Scholar]
- 57.Baird NA, Douglas PM, Simic MS, Grant AR, Moresco JJ, Wolff SC, et al. HSF-1-mediated cytoskeletal integrity determines thermotolerance and life span. Science. 2014;346(6207):360–3. doi: 10.1126/science.1253168 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Hatfield MJ, Umans RA, Hyatt JL, Edwards CC, Wierdl M, Tsurkan L, et al. Carboxylesterases: General detoxifying enzymes. Chem Biol Interact. 2016;259(Pt B):327–31. doi: 10.1016/j.cbi.2016.02.011 ; PubMed Central PMCID: PMCPMC4985501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Hoffmann JM, Partridge L. Nuclear hormone receptors: Roles of xenobiotic detoxification and sterol homeostasis in healthy aging. Crit Rev Biochem Mol Biol. 2015;50(5):380–92. doi: 10.3109/10409238.2015.1067186 . [DOI] [PubMed] [Google Scholar]
- 60.Frohbergh M, He X, Schuchman EH. The molecular medicine of acid ceramidase. Biol Chem. 2015;396(6–7):759–65. doi: 10.1515/hsz-2014-0290 . [DOI] [PubMed] [Google Scholar]
- 61.Park JH, Schuchman EH. Acid ceramidase and human disease. Biochim Biophys Acta. 2006;1758(12):2133–8. doi: 10.1016/j.bbamem.2006.08.019 . [DOI] [PubMed] [Google Scholar]
- 62.Wood WB. The Nematode Caenorhabditis elegans. Cold Spring Harbor, New York, USA: Cold Spring Harbor Laboratory; 1988. [Google Scholar]
- 63.Dillin A, Crawford DK, Kenyon C. Timing requirements for insulin/IGF-1 signaling in C. elegans. Science. 2002;298(5594):830–4. doi: 10.1126/science.1074240 . [DOI] [PubMed] [Google Scholar]
- 64.Ahringer J, ed. Reverse genetics. In: The C. elegans Research Community W, editor. WormBook; 2006. April 6 doi: 10.1895/wormbook.1.47.1. [Google Scholar]
- 65.Van Wynsberghe PM, Kai ZS, Massirer KB, Burton VH, Yeo GW, Pasquinelli AE. LIN-28 co-transcriptionally binds primary let-7 to regulate miRNA maturation in Caenorhabditis elegans. Nat Struct Mol Biol. 2011;18(3):302–8. Epub 2011/02/08. nsmb.1986 [pii] doi: 10.1038/nsmb.1986 ; PubMed Central PMCID: PMC3077891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29(1):15–21. doi: 10.1093/bioinformatics/bts635 ; PubMed Central PMCID: PMCPMC3530905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Anders S, Pyl PT, Huber W. HTSeq—a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31(2):166–9. doi: 10.1093/bioinformatics/btu638 ; PubMed Central PMCID: PMCPMC4287950. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biol. 2010;11(10):R106 doi: 10.1186/gb-2010-11-10-r106 ; PubMed Central PMCID: PMCPMC3218662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Friedlander MR, Mackowiak SD, Li N, Chen W, Rajewsky N. miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades. Nucleic Acids Res. 2012;40(1):37–52. doi: 10.1093/nar/gkr688 ; PubMed Central PMCID: PMCPMC3245920. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Kozomara A, Griffiths-Jones S. miRBase: annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Res. 2014;42(Database issue):D68–73. doi: 10.1093/nar/gkt1181 ; PubMed Central PMCID: PMCPMC3965103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Huang da W, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009;4(1):44–57. doi: 10.1038/nprot.2008.211 . [DOI] [PubMed] [Google Scholar]
- 72.Huang da W, Sherman BT, Lempicki RA. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 2009;37(1):1–13. doi: 10.1093/nar/gkn923 ; PubMed Central PMCID: PMCPMC2615629. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The RNA-seq datasets generated in this study are available from GEO under accession number GSE112775. All other relevant data are in the manuscript and its Supporting Information files. Reagents are available upon request.