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Nature Communications logoLink to Nature Communications
. 2020 Oct 2;11:4627. doi: 10.1038/s41467-020-18369-w

PQM-1 controls hypoxic survival via regulation of lipid metabolism

Thomas Heimbucher 1,2,3,, Julian Hog 3, Piyush Gupta 3, Coleen T Murphy 1,2,
PMCID: PMC7532158  PMID: 33009389

Abstract

Animals have evolved responses to low oxygen conditions to ensure their survival. Here, we have identified the C. elegans zinc finger transcription factor PQM-1 as a regulator of the hypoxic stress response. PQM-1 is required for the longevity of insulin signaling mutants, but surprisingly, loss of PQM-1 increases survival under hypoxic conditions. PQM-1 functions as a metabolic regulator by controlling oxygen consumption rates, suppressing hypoxic glycogen levels, and inhibiting the expression of the sorbitol dehydrogenase-1 SODH-1, a crucial sugar metabolism enzyme. PQM-1 promotes hypoxic fat metabolism by maintaining the expression of the stearoyl-CoA desaturase FAT-7, an oxygen consuming, rate-limiting enzyme in fatty acid biosynthesis. PQM-1 activity positively regulates fat transport to developing oocytes through vitellogenins under hypoxic conditions, thereby increasing survival rates of arrested progeny during hypoxia. Thus, while pqm-1 mutants increase survival of mothers, ultimately this loss is detrimental to progeny survival. Our data support a model in which PQM-1 controls a trade-off between lipid metabolic activity in the mother and her progeny to promote the survival of the species under hypoxic conditions.

Subject terms: Development, Gene expression, Molecular biology


Animals respond to hypoxic stress by adjusting metabolic processes to balance survival and reproduction. Here the authors identify the transcription factor PQM-1 as a metabolic regulator that balances hypoxic lipid and carbohydrate metabolism in C. elegans to limit somatic integrity and promote progeny survival.

Introduction

A constant oxygen supply is essential to sustain the life of aerobic organisms, which have evolved multiple adaptive mechanisms to maintain the delicate balance between oxygen supply and demand. Impairment of this balance is associated with many age-related diseases, affecting pulmonary and cardiac function1 and increasing the economic burden of aging populations in modern societies. Consequently, understanding the defense mechanisms that animals have developed to protect against oxygen deprivation is important for the development of treatment strategies for human ischemia-related diseases and cancer.

C. elegans has been used as a model to study survival under a range of oxygen levels2 because it is well adapted to limited oxygen conditions; in fact, worms prefer 5–12% rather than atmospheric (21%) levels of oxygen3,4. In its natural habitat, C. elegans frequently encounters conditions where oxygen is depleted, because flooded soils can become hypoxic5,6. When exposed to very low oxygen levels (<0.3% O2), C. elegans enters a state of suspended animation2, a reversible hypometabolic state in which biological processes are largely slowed or even arrested. Intermediate levels of oxygen differentially affect transcriptional responses. The key hypoxic transcriptional regulator HIF-1 is required for development and survival of C. elegans at 0.5–1% oxygen (hypoxia), whereas it is not essential for survival in complete anoxia7. More recently, the zinc finger protein BLMP-1 was identified as a regulator of a HIF-1-independent hypoxic response based on a reporter screen performed with the hypoxia mimetic CoCl2, which largely replicates the hypoxic state8.

Insulin/IGF-1 signaling (IIS) controls survival under various stresses, including hypoxia. Reduction-of-function mutations in the Insulin/IGF-1 receptor homolog daf-2 protect C. elegans from high-temperature hypoxia and long-term anoxia9,10. The resistance against oxygen depletion is mediated by the FoxO transcription factor DAF-16, the major downstream transcriptional effector of IIS1115.

We previously identified the C2H2-type zinc finger protein PQM-1 as an IIS-regulated DAF-16 antagonist and transcriptional regulator that is required for the exceptional longevity of daf-2 mutants15. As reduction of IIS is highly protective for survival of nematodes exposed to hypoxic stress9, here we asked whether PQM-1, like DAF-2 and DAF-16, plays a role in hypoxic survival. Surprisingly, loss of pqm-1, unlike loss of daf-16, protects C. elegans from hypoxic stress. To understand the underlying mechanisms of this protection, we studied the transcriptional changes in pqm-1 mutants under normoxia versus hypoxia, and discovered that alterations in carbohydrate and lipid metabolism are key to this survival. Ultimately, however, the loss of pqm-1 under hypoxic stress is detrimental to future generations, suggesting that PQM-1 is an important component of multi-generational hypoxic survival through its regulation of key lipid metabolic genes.

Results

PQM-1 acts as a negative regulator of hypoxic survival independently of Insulin-like signaling

We previously found that the zinc finger transcription factor PQM-1 is partially required for daf-2 mutants’ extended longevity15, and thus we expected PQM-1 to also be required for daf-2’s extended survival in hypoxic conditions. Exposure of C. elegans to the hypoxia mimetic cobalt chloride (CoCl2) activates HIF-1 and mimics hypoxic responses16, allowing time course survival analysis under chemical hypoxia conditions8, whereas a typical hypoxic chamber experiment allows one survival time point after a normoxic recovery period. CoCl2 might mimic HIF dependent, chronic lower level of hypoxia in C. elegans and might have disease relevance for chronic lower level hypoxia in cancer cells. Counter to our expectations, pqm-1(ok485);daf-2(e1370) double mutants exposed to 5 mM CoCl2 survived significantly longer than did daf-2(e1370) worms (Fig. 1a). (All animals were synchronized at the L4 larval stage for survival analyses, as we previously found that pqm-1 mutants develop more slowly than do wild-type animals15.) Together, these results suggest that PQM-1 activity may limit the resistance of daf-2(e1370) animals exposed to hypoxic stress.

Fig. 1. Loss of pqm-1 increases survival and recovery under hypoxic conditions.

Fig. 1

ac Survival analysis of animals exposed to 5 mM CoCl2 at the L4 larval stage. a daf-2(e1370) (n = 130), pqm-1(ok485);daf-2(e1370) (n = 99). b daf-16(mu86) (n = 51), daf-16(mu86);pqm-1(ok485) (n = 63). c WT (N2) (n = 70), pqm-1(ok485) (n = 45). Log-rank analysis (two-sided) (ac). Three (a, b) and four (c) independent experiments were performed. d Shrinking of worms exposed to 5 mM CoCl2 at the L4 larval stage for 3 days and quantification of body size. Two-tailed t-test, mean ± SD, WT (N2) (n = 12), pqm-1(ok485) (n = 16); scale bars: 200 µm. Three independent experiments were performed. e Measurement of touch response of animals after exposure to <0.3% O2 in a hypoxic chamber for 16 h at 26 °C followed by an 8 h recovery period; WT (N2) (n = 156), pqm-1(ok485) (n = 196). f Survival analysis of animals after exposure to <0.3% O2 in a hypoxic chamber for 16 h at 26 °C followed by a one-day recovery period; WT (N2) (n = 137), pqm-1(ok485) (n = 162). e, f Chi-square analysis was performed, three independent experiments. g Nuclear localization analysis of a PQM-1::GFP fusion protein expressed in the intestine of worms exposed to 5 mM CoCl2 at the late L4 larval stage for 20 h until worms reach the adulthood stage. Arrows point to intestine; arrowheads point to intestinal nuclei in insets. Insets display anterior (i.) and posterior (ii.) intestinal regions. Representative images for the category “nuclear in anterior and posterior intestine” are displayed (CoCl2 condition, top). The category “weakly nuclear in posterior intestine” is represented by the control condition (bottom); scale bars: 100 µm, in insets: 50 µm. Chi-square analysis was performed; control condition (n = 54), CoCl2 condition (n = 30); three independent experiments.

The transcriptional outputs of IIS are largely mediated by the FOXO transcription factor DAF-1614,15. Superficially, daf-16 and pqm-1 act similarly in longevity regulation, as the mutants both have normal/short lifespans and both transcription factors are required for daf-2’s longevity. However, under CoCl2-mediated hypoxia, loss of pqm-1 greatly increased the survival of a daf-16(mu86) null mutant (Fig. 1b and Supplementary Fig. 1), suggesting that PQM-1 acts independently of DAF-16 to regulate hypoxic survival. pqm-1(ok485) loss-of-function mutants survived longer than wild-type animals (Fig. 1c and Supplementary Fig. 1) and maintained a largely normal morphology, whereas wild-type worms shrank after 3 days of exposure to the hypoxia mimetic (Fig. 1d). Our data indicate that PQM-1 acts as a negative regulator of somatic integrity and survival under CoCl2-induced chemical hypoxia stress.

To verify our findings from CoCl2-mediated hypoxia to true hypoxia, we tested the recovery rate of wild-type and pqm-1(ok485) mutants after treatment in a hypoxic chamber. When animals were exposed to <0.3% O2 for 16 h at 26 °C17 followed by an 8 h normoxic recovery period, pqm-1(ok485) mutants exited suspended animation earlier than did wild-type animals (Fig. 1e). Following a normoxic one-day recovery period to identify dead worms, pqm-1(ok485) mutants survived and recovered from oxygen depletion better than did wild-type animals (Fig. 1f), indicating that loss of PQM-1 function improved survival under true hypoxia.

To address whether hypoxic stress can activate PQM-1 as transcription factor, we exposed worms expressing a PQM-1::GFP fusion protein to 5 mM CoCl2 and found that hypoxic stress promoted the nuclear localization of PQM-1::GFP in the intestine of worms (Fig. 1g). Together, these results suggest that hypoxic stress appears to activate PQM-1 by enhancing its nuclear localization to confer its function as a transcriptional regulator in the hypoxic stress response.

PQM-1 is a transcriptional regulator of the hypoxic stress response

Under normoxia, the transcription factor PQM-1 controls gene expression programs that regulate development, growth, and reproduction15. To identify genes altered in chemical hypoxia, we carried out three types of analyses: first, we performed an analysis of genes that change their expression in wild-type animals treated with CoCl2 (Supplementary Fig. 2a and Supplementary Data 1; one-class SAM, 366 upregulated and 56 downregulated genes). Second, we directly compared pqm-1 and wild-type animals that had both been exposed to CoCl2 to identify those genes that provide pqm-1 a survival advantage under hypoxic conditions (Fig. 2a and Supplementary Data 2; one-class SAM, 1650 upregulated and 629 downregulated genes). Third, we carried out a two-class SAM analysis in comparisons of wild-type and pqm-1 worms both treated with CoCl2 vs untreated to further identify potential pqm-1 targets that increase survival under hypoxic conditions (Fig. 2b–c and Supplementary Data 3). We found that genes associated with response to heat shock (hsp-16, hsp-70), metal (numr and cdr), and infection (irg-1, -2), as well as glutathione S-transferases (gst), several DAF-16 target genes (dod-22, -17, -24), and PQM-1/DAF-16 regulated targets (C32H11 and F55G11)14 are upregulated, indicating that the animals are responding to stress conditions. Several cytochrome P450s (cyp-35A2, -25A1, -14A2, -25A2, -34A9), short-chain dehydrogenases (dhs-25, -20, -2) and lipid metabolism genes (e.g., lips-14, elo-6, acdh-2, elo-5) are downregulated under chemical hypoxia conditions (Supplementary Fig. 2a and Supplementary Data 1; FDR < 0.01), indicating metabolic changes. Gene Ontology analysis (Supplementary Fig. 2b) suggests that worms subjected to CoCl2 hypoxic conditions affect immune and defense response, ER signaling, aging and lifespan regulation, and lipid metabolism. pqm-1 and CoCl2-dependent upregulated gene categories are enriched for immune, defense, and stress responses, while downregulated genes are associated with the response to xenobiotic stimuli, oxidation-reduction processes, lipid metabolism, and transmembrane transport (Supplementary Fig. 2c, d and Supplementary Data 2). GO analysis of the pqm-1 and CoCl2-dependent upregulated gene sets, which were analyzed for expression changes relative to wild-type animals and untreated controls using two-class SAM, revealed an enrichment for oxidation-reduction processes and the innate immune response (Supplementary Fig. 3a and Supplementary Data 3). The GO term “metabolism” is highly significant in the downregulated gene set (Supplementary Fig. 3b and Supplementary Data 3), with fatty acid metabolism, flavonoid-related processes, and transmembrane transport GO terms statistically enriched.

Fig. 2. Glycogen metabolism is altered under hypoxia via PQM-1’s regulation of sodh-1.

Fig. 2

a One-class SAM analysis of gene expression changes in pqm-1(ok485) mutants +CoCl2 versus wild type (WT) +CoCl2 identified 1650 upregulated and 629 downregulated genes (Supplementary Data 2). b, c pqm-1- and CoCl2-dependent upregulated (b) and downregulated genes (c). Two-class SAM of pqm-1(ok485) +CoCl2 versus WT +CoCl2 compared to untreated pqm-1(ok485) versus untreated WT identified 152 upregulated and 243 downregulated genes (Supplementary Data 3). Heat maps depict individual genes (rows) ranked by SAM score (median FDR < 0.01), with columns representing individual microarrays (ac). Animals were exposed to 5 mM CoCl2 for 6 h at early adulthood (ac). d sodh-1p::rfp reporter activity after 20 h of 5 mM CoCl2 exposure at a late larval (L4) stage; e quantification of reporter activity in (d); empty-vector control (n = 15) and pqm-1(ok485) (n = 16) without CoCl2 (gray bars); empty-vector control (n = 12) and pqm-1(ok485) (n = 14) +CoCl2 (yellow bars); three independent experiments. f pqm-1- and CoCl2-dependent expression changes of endogenous sodh-1 determined by RT-qPCR (n = 3 biological replicates) following 5 mM CoCl2 exposure for 6 h at early adulthood. Two-tailed t-test and Two-way ANOVA (✝) (e, f), mean ± SD, ns = not significant. g Survival analysis of pqm-1(ok485) (n = 67) and pqm-1(ok485);sodh-1(ok2799) mutants (n = 72) exposed to 5 mM CoCl2 at the L4 larval stage. Log-rank analysis (two-sided). Three independent experiments were performed. h, i Glycogen levels of worms  subjected to 5 mM CoCl2 followed by iodine vapor staining (h); i quantification of glycogen levels in (h); wild type (n = 12), pqm-1(ok485) (n = 11 [left in (i)], n = 12 [right in (i)]) and pqm-1(ok485);sodh-1(ok2799) mutants (n = 10). Scale bars: 200 µm (d, h). Two-tailed t-test, mean ± SD; three independent experiments.

Carbohydrate metabolism is critical for C. elegans survival under conditions where oxygen is limited10,1820. sodh-1/dod-11 was one of the top two-class SAM hits for upregulated genes in a pqm-1(ok485) mutant challenged with CoCl2 (Supplementary Fig. 3c and Supplementary Data 3). Sorbitol dehydrogenase (SODH) enzymatic activity converts sorbitol, the sugar alcohol form of glucose, into fructose21. sodh-1/dod-11 was previously identified as a downstream target of the IIS/DAF-16 pathway and is required for the long lifespan of daf-2(lf) mutants14; moreover, it is a key enzyme for starvation-induced aggregation of C. elegans and ethanol metabolism22 and is upregulated when worms are exposed to transient hypoxia23. The promotor region of sodh-1/dod-11 contains two PQM-1 binding sites (DAEs) located within 1000 bp upstream of the translational start site, suggesting that it functions as a direct PQM-1 target gene14,24.

We confirmed the upregulation of sodh-1/dod-11 observed in our two-class SAM using a fluorescent reporter: sodh-1p::rfp is induced when pqm-1 was reduced by RNAi-mediated knock down in worms treated with CoCl2 (Fig. 2d, e). In addition, sodh-1 endogenous transcript levels were upregulated in a pqm-1(ok485) mutant exposed to chemical hypoxia (Fig. 2f), suggesting that PQM-1 likely normally represses sodh-1 expression. Reduction of sodh-1 in pqm-1(ok485) mutants significantly reduced CoCl2 survival (Fig. 2g), indicating that sodh-1 is necessary for pqm-1’s enhanced hypoxic survival.

The upstream regulatory region of sodh-1/dod-11 is enriched for DAF-16 binding sites (DBEs) in addition to the two PQM-1 binding sites (DAEs)14,24. DAF-16 is required for sodh-1 mediated transcriptional activation in daf-2(lf) mutants based on the sodh-1p::rfp fluorescent reporter24. Counter our expectations, however, we found that loss of daf-16 increased the expression of the sodh-1p::rfp reporter in wild-type worms when IIS functions at normal physiological levels and in chemical hypoxia (Supplementary Fig. 3f–h). These data indicate that DAF-16 could act as a repressor along with PQM-1 to downregulate sodh-1 expression in regular growth conditions or hypoxic stress.

Previous studies have demonstrated that sorbitol, the substrate of SODH-1, can be metabolized to glycogen in diapause eggs of insects (Bombyx mori) depending on the activity of SODH-125,26. The ability to store carbohydrates such as glycogen correlates with increased survival of C. elegans in oxygen-deprived conditions18,20. To test the role of pqm-1 and its downstream regulated target sodh-1 in hypoxic carbohydrate metabolism, we measured glycogen levels. pqm-1(ok485) mutants maintain glycogen at higher levels than wild-type animals challenged with CoCl2, while pqm-1(ok485);sodh-1(ok2799) double mutants had reduced glycogen levels (Fig. 2h, i and Supplementary Fig. 3d, e), suggesting that pqm-1’s increased hypoxia survival is linked to its SODH-1-dependent increased glycogen levels.

PQM-1 activity regulates lipid levels in hypoxia

The CoCl2-induced pqm-1-differentially-expressed gene list is enriched for lipid metabolism regulators. The downregulated genes included fatty acid elongases (elo-2, -5, -6, and -9), the stearoyl-CoA fatty acid desaturase fat-7, and enzymes predicted to function in fatty acid β-oxidation (acdh-1, acdh-2, ech-7 and -9) (Fig. 3a, top), while upregulated genes included the fatty acid and retinoid-binding protein far-7 and the acyl-CoA synthetases asc-2 and asc-17 (Fig. 3a, bottom). Oil Red O (ORO) staining, which detects neutral triglycerides and lipids, revealed no significant differences between wild type and pqm-1 mutants under control conditions (Fig. 3b–c, top), but CoCl2 treatment for 44 h induced fat loss relative to untreated controls (Fig. 3b, d, left); this lipid loss was significantly more pronounced in pqm-1(ok485) mutants challenged with CoCl2 (Fig. 3b, d, right), suggesting that PQM-1 normally acts as a positive regulator of lipid level maintenance. Similarly, pqm-1 mutants exposed to 0.4% O2 (hypoxia) for 44 h exhibited a significant reduction in fat levels compared to hypoxic wild-type animals (Fig. 3e, f), confirming that CoCl2 conditions mimic true hypoxia for fat metabolism. An additional, PQM-1-independent mechanism might be implicated in maintaining hypoxic fat mass, as wild-type animals also lose fat when challenged with the hypoxia mimetic. In some individual hypoxic pqm-1(ok485) animals, lipid levels were strongly depleted in the intestinal tissue (Fig. 3e), and fat was only detected in the eggs located in the uterus of pqm-1(ok485) mutants. These results suggest that PQM-1 acts as an essential intestinal metabolic regulator, promoting lipid levels under oxygen depletion.

Fig. 3. PQM-1 controls expression of lipid regulators and positively regulates hypoxic fat levels.

Fig. 3

a Expression based analysis of pqm-1-dependent regulators implicated in hypoxic lipid metabolism. Two-class SAM (pqm-1(ok485) +CoCl2 versus WT +CoCl2 compared to pqm-1(ok485) −CoCl2 versus WT −CoCl2) identified downregulated (top) and upregulated (bottom) lipid regulators. bf Oil Red O-based lipid staining of animals subjected to control conditions, chemical hypoxia (2.5 mM CoCl2, bd), and real hypoxia (0.4% oxygen, e, f) at the early day-1 of adulthood stage for 44 h followed by Oil Red O-based lipid staining (b, e) and whole worm quantification of fat levels (c, d, f). Animals were synchronized at the L4 larval stage for adult analyses. Two-tailed t-test, mean ± SD, c, d) WT (N2) (n = 18) and pqm-1(ok485) (n = 21) in control condition; WT (N2) (n = 25) and pqm-1(ok485) (n = 29) in CoCl2 condition. f WT (N2) (n = 13) and pqm-1(ok485) (n = 12) in control condition; WT (N2) (n = 14) and pqm-1(ok485) (n = 15) in hypoxic condition; ns = not significant; scale bars: 200 µm (b, e). Four (bd) and two (e, f) independent experiments were performed.

FAT-7 functions as a downstream PQM-1 target in hypoxic lipid metabolism

The stearoyl-CoA desaturase fat-7 was the most significantly downregulated lipid regulator upon exposure to chemical hypoxia (Supplementary Fig. 4a and Supplementary Data 4). This suggests that fat-7 is an essential transcriptional target of PQM-1 and that reduction of fat-7 might be important for pqm-1(ok485)-mediated hypoxic fat loss and subsequent survival. FAT-7 is a stearoyl-CoA desaturase that catalyzes a critical rate-limiting step in fatty acid biosynthesis, desaturating stearate [CH3(CH2)16COO] to mono-unsaturated oleate [CH3(CH2)7CH=CH(CH2)7COO], which requires oxygen as an electron acceptor (Supplementary Fig. 4b). To verify our transcriptional results, we examined the expression of a fat-7p::fat-7::gfp translational reporter27 in pqm-1 mutants, and found that fluorescence is significantly reduced in chemical hypoxia (Fig. 4a, b). Quantification of endogenous fat-7 transcript levels revealed a downregulation of fat-7 in pqm-1 mutants after 6 h of CoCl2 exposure (Supplementary Fig. 4c). The reduction of fat-7 transcript level was more pronounced after 20 h of chemical hypoxia (Fig. 4c), although already wild-type worms exposed to CoCl2 displayed a slight fat-7 downregulation under these conditions, indicating that other regulators in addition to PQM-1 control fat-7 expression in chemical hypoxia. Together, these data point to an important role of PQM-1 in fat-7 transcriptional regulation in hypoxic conditions.

Fig. 4. FAT-7 functions as a downstream PQM-1 target regulating hypoxic fat levels, oxygen consumption rates, and survival.

Fig. 4

a, b PQM-1 positively regulates fat-7 expression in hypoxic conditions based on a fat-7p::fat-7::GFP translational reporter (a) and its quantification (b); fat-7::GFP (n = 16), pqm-1(ok485);fat-7::GFP (n = 14). Animals were exposed to 5 mM CoCl2 at a late larval (L4) stage for 24 h. Three independent experiments. c pqm-1- and CoCl2-dependent regulation of endogenous fat-7 determined by RT-qPCR (n = 3 biological replicates) following 5 mM CoCl2 exposure for 20 h at early adulthood. Two-tailed t-test (b, c), mean ± SD, ns = not significant. d Survival and matricide analysis of indicated C. elegans strains exposed to 5 mM CoCl2 at the early adulthood stage (early day-1 of adulthood stage) for 50 h. (✝) indicates mutant versus wild type strain, Chi-square analysis; WT (N2) (n = 136), pqm-1(ok485) (n = 87), fat-7(wa36) (n = 76), pqm-1(ok485);fat-7 OE (n = 61), fat-7 OE (n = 62); three independent experiments. e Oil Red O-based lipid staining of animals subjected to control and chemical hypoxia conditions. Animals were exposed to 2.5 mM CoCl2 at the early day-1 of adulthood stage for 44 h followed by Oil Red O staining (e) and whole worm quantification of fat levels (f). Quantification values were normalized to the mean value of WT control without CoCl2 (Supplementary Fig. 4e). WT (n = 37), pqm-1(ok485) (n = 36), fat-7(wa36) (n = 23), pqm-1(ok485);fat-7 OE (n = 32), fat-7 OE (n = 15); scale bars: 200 µm (a, e); three independent experiments. g Measurement of oxygen consumption rates. The uncoupler FCCP was injected twice (10 µM each injection) to obtain maximal oxygen consumption rates. For each strain six biological repeats, each consisting of approximately 20–25 worms, have been repeatedly measured to obtain OCR values (source data file). Three independent experiments were performed. Two-tailed t-test (f, g), mean ± SD, (✝) indicates mutant versus wild type strain (f); ns = not significant. Animals were synchronized at the L4 larval stage for adult analyses.

We tested the survival of the fat-7(wa36) loss-of-function mutant under CoCl2 conditions, and found that fat-7 mutants displayed a moderate increase in survival when exposed to CoCl2 at a late larval (L4) stage (Supplementary Fig. 4d). When challenged with CoCl2 at the early adulthood stage, which promotes matricide in wild-type worms, fat-7 loss-of-function mutants largely phenocopied the beneficial effect of pqm-1 ablation in hypoxic survival (Fig. 4d). After 50 h of CoCl2 treatment, approximately half of fat-7 mutants were still actively crawling on plates, which was similar to the mobility of pqm-1(ok485) animals under chemical hypoxia, and strikingly different from the immobility that wild-type animals display under these conditions (Fig. 4d). By contrast, reintroducing fat-7 activity into a pqm-1 loss-of-function mutant by overexpressing a fat-7p::fat-7::gfp translational reporter (“fat-7 OE”) completely reversed the beneficial effects of a pqm-1(ok485) mutant on hypoxic mobility and survival (Fig. 4d). Overexpression of FAT-7 in wild-type and pqm-1 CoCl2-treated worms also caused high rates of matricide and death.

Next, we asked what role FAT-7 plays in lipid regulation under hypoxic conditions. fat-7(wa36) mutants under normoxia did not display decreased fat levels relative to wild-type animals (Fig. 4e and Supplementary Fig. 4e), but lack of fat-7 activity in chemical hypoxia caused a reduction of lipid levels, similar to those observed in pqm-1(ok485) mutants (Fig. 4e, f). To determine whether the lipid-loss phenotype of pqm-1 mutants is primarily caused by a downregulation of fatty acid synthesis through decreased fat-7 expression, we performed a rescue experiment by re-expressing fat-7 under its own promoter (fat-7p::fat-7::gfp translational reporter) and measuring lipid levels. Expression of fat-7 largely restored lipid levels of pqm-1 mutants exposed to the hypoxia mimetic (Fig. 4e, f), but did not significantly change lipid levels in pqm-1 mutants relative to wild type animals under control conditions (Fig. 4e and Supplementary Fig. 4e). Thus, pqm-1 partially controls hypoxic lipid levels through fat-7-mediated lipid biosynthesis.

As PQM-1 was initially identified as a transcriptional regulator downstream of IIS15, we analyzed whether PQM-1 controls hypoxic fat levels in the Insulin/IGF-1 receptor mutant daf-2(e1370). Loss of pqm-1 did not reduce fat levels of daf-2(e1370) mutants exposed to CoCl2 as it was observed for pqm-1 mutants versus wild-type worms (Supplementary Fig. 4g). Both daf-2(e1370) and pqm-1(ok485);daf-2(e1370) mutants displayed increased amount of lipids relative to wild-type animals in control conditions and chemical hypoxia (Supplementary Fig. 4f, g). pqm-1(ok485);daf-2(e1370) mutants survive longer than daf-2(e1370) animals in hypoxic stress (Fig. 1a), but do not seem to reduce hypoxic lipid levels as pqm-1(ok485) versus wild-type worms. Thus, it is likely that processes in addition to fat metabolism might contribute to pqm-1 loss-of-function mediated survival extension when IIS is compromised.

Next, we tested whether IIS regulates fat-7 expression, and found that fat-7p::fat-7::gfp levels were suppressed in a daf-2(e1370) mutant compared to wild-type worms under control conditions (Supplementary Fig. 4h, i). Loss of daf-16 function resulted in an increase of the fat-7p::fat-7::gfp reporter signal in daf-2 mutants in both control and CoCl2 conditions (Supplementary Fig. 4h–j), indicating that DAF-16 activity (either directly or indirectly via PQM-1) represses fat-7 when IIS is downregulated. A similar reporter de-repression was detected in wild-type worms on daf-16 RNAi and CoCl2 versus wild-type control worms exposed to CoCl2. Loss of pqm-1 in a daf-2(e1370) mutant increased the fat-7p::fat-7::gfp reporter activity (Supplementary Fig. 4h–j), indicating that pqm-1 may mediate repression of fat-7 expression when IIS is downregulated. In summary, our data suggest a fat-7-independent mechanism might promote elevated lipid levels in daf-2 mutants, as DAF-16 represses fat-7 transcription when IIS is reduced. An additional delta-9 desaturase, the palmitoyl-CoA desaturase fat-5, is involved in lipid biosynthesis of daf-2 mutants28, which may provide an alternative mechanism for the maintenance of fat levels when IIS is compromised.

fat-7 mutants mimic pqm-1 mutant reduction of oxygen consumption rates

We hypothesized that animals that survive in low oxygen conditions might do so by reducing their oxygen metabolism. We measured the basal and maximum oxygen consumption rates (OCR) of wild-type and pqm-1 worms, and found that loss of pqm-1 diminished both the basal and the maximal OCR (Fig. 4g). We then found that fat-7(wa36) loss-of-function mutants reduced oxygen consumption to levels comparable to pqm-1(ok485) mutants (Fig. 4g). Re-expressing fat-7 in a pqm-1(ok485) mutant partially restored the basal OCR (Supplementary Fig. 4k). These data indicate that changes in fat-7 expression affect oxygen consumption in worms. Together, our data suggest that pqm-1 mutants metabolize oxygen at lower rates due to decreased FAT-7 levels, which, in turn, may decrease the negative impact of low oxygen conditions on the worms. fat-7 appears to be an important target downstream of PQM-1 in the hypoxic response and in pqm-1’s oxygen utilization.

PQM-1 promotes progeny formation and survival in hypoxic stress

Our findings suggested that normal PQM-1 activity is detrimental for hermaphrodites exposed to hypoxic stress through its promotion of fat metabolism and subsequent reduction of survival. Previously, trade-offs between somatic survival and progeny production have been linked to reallocation of lipid stores from the soma to the germline during nutrient and oxidative stress29. Therefore, we investigated PQM-1’s effect on progeny survival and their supply of lipids under hypoxic conditions.

To study the effect of hypoxia on progeny development, we examined the formation of embryos in the uterus of hermaphrodites exposed to CoCl2. Usually C. elegans lays eggs that have developed to the gastrula stage, but chemical hypoxia caused an egg-laying defect, in utero retention of embryos that had developed further than normoxic control embryos (Fig. 5a, b). Moreover, hypoxic wild-type animals contained substantial amounts of lipid that appeared to reallocate to the progeny (Fig. 5b). By contrast, hypoxic pqm-1 mutants contained less fat, embryos in the uterus were found largely at earlier developmental stages, and the mutants displayed less internal hatching compared to wild-type hypoxic hermaphrodites (Fig. 5a, b).

Fig. 5. PQM-1 activity regulates vitellogenin expression and lipid content of progeny in hypoxic stress.

Fig. 5

a Quantification of matricide and embryonal stages in the uterus of hermaphrodites from ORO stained animals in (b). WT (N2) (n = 69) and pqm-1(ok485) (n = 77) in control condition; WT (N2) (n = 70) and pqm-1(ok485) (n = 65) in CoCl2 condition; Chi-square analysis was performed; three independent experiments. b Oil Red O-based lipid staining displaying progeny in parental hermaphrodites. Parental hermaphrodites were Oil Red O stained at the day-1 of adulthood stage (control). CoCl2 challenged hermaphrodites were exposed to 2.5 mM CoCl2 at the day-1 of adulthood stage for 44 h followed by Oil Red O staining. Animals were synchronized at the L4 larval stage for adult analyses. Scale bars: 200 µm, in inset: 100 µm. c, d Lipid content of eggs (c) dissected from Oil Red O stained hermaphrodites challenged with 0.4% oxygen for 44 h and quantification of fat levels in eggs (d). WT (N2) eggs (n = 13) and pqm-1(ok485) eggs (n = 13) in control condition; WT (N2) eggs (n = 12) and pqm-1(ok485) eggs (n = 12) in hypoxic condition; scale bars: 25 µm. Two-tailed t-test, Two-way ANOVA (✝), mean ± SD, three independent experiments. e, f pqm-1- and CoCl2-dependent regulation of endogenous vitellogenins determined by RT-qPCR (n = 3 biological replicates) for control condition (e) and condition of 5 mM CoCl2 exposure (f). Reduction of vit gene expression in pqm-1 mutants relative to WT is indicated below the p-value and the corresponding fold change value is displayed in brackets (e). Quantification values were normalized to mean value of WT control without CoCl2 (e, f). Animals were exposed to 5 mM CoCl2 for 6 h at early adulthood. Two-tailed t-test (e, f), mean ± SD, ns = not significant.

To examine the lipid levels in embryos, we quantified ORO staining of eggs in hermaphrodites challenged with the real hypoxia and the hypoxia mimetic (Fig. 5c, d and Supplementary Fig. 5a, b). Eggs dissected out of pqm-1 mutants contained significantly less fat than embryos of wild-type animals, both in control conditions and when exposed to CoCl2 (Supplementary Fig. 5a, b). When eggs were dissected out of ORO-stained hermaphrodites challenged with hypoxia, the lipid content of embryos originating from pqm-1 mutants was diminished relative to hypoxia-treated wild-type embryos (Fig. 5c, d). Our data suggest that PQM-1 activity enhances lipid accumulation in embryos in both control and hypoxic environments.

Lipids are transported from the C. elegans intestine to its developing oocytes by vitellogenins, which are precursor proteins of egg yolk30. Vitellogenins are taken up by oocytes through receptor-mediated endocytosis31, and are present in developing embryos to promote their survival under stress conditions such as starvation32,33. Our microarray data revealed a transcriptional downregulation of vitellogenins in pqm-1 mutants exposed to CoCl2 (Supplementary Fig. 5c, condition 4 in heatmap, Supplementary Data 2). A pqm-1- and CoCl2-dependent regulation of vitellogenins was further validated by quantifying endogenous vitellogenin transcript levels. pqm-1 loss moderately downregulated vitellogenin expression relative to wild type in control condition (Fig. 5e). Vitellogenin expression was already slightly decreased in wild-type animals treated with CoCl2 for 6 h (Fig. 5f), however, a downregulation was more pronounced in CoCl2-exposed pqm-1 mutants for certain vitellogenins such as vit-1 and vit-3,4,5.

Our data point to an important role of PQM-1 in promoting vitellogenin expression in hypoxic stress environments, but the data also suggest that additional vitellogenin regulators could contribute. The transcription factors UNC-62 and CEH-60 co-regulate vitellogenin expression through binding to the promotor regions of vitellogenins34. To test whether these transcription factors additively regulate vitellogenin gene expression, we treated wild type and pqm-1 mutants with either unc-62 or ceh-60 RNAi. vit gene expression in pqm-1 mutants was not affected by reduction of either TF in control conditions (Supplementary Fig. 5d, f), or by loss of unc-62 in CoCl2 exposure (Supplementary Fig. 5e), but reduction of ceh-60 in pqm-1 mutants slightly abrogated this change in vit expression under CoCl2 conditions (Supplementary Fig. 5g). ChIP-Seq data indicate that PQM-1 binds to upstream regulatory regions of ceh-6034. Although ceh-60 transcript levels were upregulated in chemical hypoxia, loss of pqm-1 function in hypoxia did not compromise ceh-60 expression relative to wild-type hypoxic animals (Supplementary Fig. 6a). However, unc-62 transcript levels decreased in pqm-1 mutants under hypoxic stress (Supplementary Fig. 6b).

To further address whether pqm-1 is required for vitellogenin expression in chemical hypoxia, we analyzed its effect on vitellogenin in developing embryos. We found that vitellogenin content was diminished (as shown by VIT-2::GFP translational fusion protein) in pqm-1 embryos relative to wild-type embryos (Fig. 6a, b). VIT-2::GFP was already reduced in CoCl2-treated wild-type embryos compared to control conditions, but this downregulation was more pronounced in pqm-1 mutants (Supplementary Fig. 6c). An rme-4 mutant, which is deficient for vitellogenin uptake due to its reduced accumulation of the vitellogenin receptor on developing oocytes plasma membranes35, still maintained high levels of VIT-2::GFP, but excluded from the eggs (Fig. 6a, b and Supplementary Fig. 6c). Thus, vitellogenins are usually absorbed by oocytes, resulting in a depletion of the vitellogenin pool in hermaphrodites due to their downregulation under hypoxic stress. Our data suggest that PQM-1 positively regulates vitellogenin expression and promotes lipid reallocation to the progeny in hypoxic stress conditions.

Fig. 6. PQM-1 activity promotes vitellogenesis, matricide and progeny survival in hypoxic stress.

Fig. 6

a, b Effect of pqm-1 loss on VIT-2::GFP levels in embryos (a) and quantification of VIT-2::GFP localization in embryos (b). Animals were synchronized at the L4 larval stage and exposed to 5 mM CoCl2 at the day 1 of adulthood stage for 24 h. i and ii indicate long and short exposure times, respectively. Arrows point to intestine; arrowheads point to embryos; scale bars: 200 µm. vit-2::gfp (n = 53), pqm-1(ok485);vit-2::gfp (n = 51), rme-4(b1001);vit-2::gfp (n = 32). Chi-square analysis was performed. (✝) Indicates mutant versus wild type vit-2::gfp expressing strain, three independent experiments. c Matricide analysis of C. elegans strains exposed to 5 mM CoCl2 at the L4 larval stage. WT (n = 157), pqm-1(ok485) (n = 165), fat-7(wa36) (n = 185). d Survival analysis of progeny originating from CoCl2 exposed hermaphrodites. The ability to exit and survive a developmental arrest caused by CoCl2 was analyzed after transferring arrested larvae to regular culture conditions. Chi-square analysis (c, d); c p-values for pqm-1(ok485) versus WT matricide timepoints: day 3 (p = 0.0018), day 4, day 5 (p < 0.0001), day 6 (p = 0.0001), day 7 (p = 0.0002); fat-7(wa36) versus WT: day 3 (p = 0.0010), day 4 (p = 0.0001), day 5 (p = 0.0006), day 6 (p = 0.0007), day 7 (p = 0.0007). d p-values for pqm-1(ok485) versus WT survival timepoints: 11 h, 30 h (ns = not significant), 53 h, 62 h, 77 h (p < 0.0001). Three independent experiments (c, d). e Model for PQM-1 as a regulator of hypoxic lipid and glycogen metabolism and survival. PQM-1 activity limits parental survival through promoting lipid biosynthesis via expression of the Δ9 stearoyl-CoA desaturase FAT-7 (SCD1 ortholog) and through positively regulating lipid transport via vitellogenin expression. Fat synthesis and transport support progeny formation and their survival in hypoxic stress conditions. PQM-1 activity represses sorbitol dehydrogenase (sodh-1) expression affecting hypoxic glycogen storage. SFA, saturated fatty acid: stearic acid [CH3(CH2)16COOH]; MUFA, mono-unsaturated fatty acid: oleic acid [CH3(CH2)7CH=CH(CH2)7COOH].

Internal hatching of progeny in C. elegans, also known as “matricide,” has been proposed to be an adaptive response to stress or starvation36, enabling the parent to provide nutrients for larval development29 at the cost of the mother’s life. To assess the role of matricide in hypoxic survival, we determined the fraction of CoCl2-treated worms displaying internal hatching. pqm-1 mutants reduced the occurrence of matricide relative to wild-type worms (Fig. 6c). Similarly, fat-7 mutants showed reduced internal hatching under hypoxic stress (Fig. 6c). Together, these data suggest that the conversion of saturated fatty acids (SFAs) to mono-unsaturated fatty acids (MUFAs) during lipid biosynthesis is required to promote egg and progeny production in hypoxic stress.

Worms displaying intrauterine hatching were censored in CoCl2 based survival assays. To exclude the possibility that undetected matricide during the assay could contribute to survival effects, we treated worms with fluorodeoxyuridine (FUDR), an inhibitor of DNA synthesis, which suppresses internal hatching of progeny; pqm-1(ok485) mutants exposed to FUDR survived better than FUDR treated wild-type animals (Supplementary Fig. 6d). Therefore, these differences in survival are not due to reduction of matricide by pqm-1 loss.

To address whether PQM-1 is also required for progeny function under hypoxia, we analyzed the ability of progeny of treated mothers to survive and recover from chemical hypoxia. Wild-type C. elegans larvae hatched from eggs that are laid by CoCl2-exposed hermaphrodites arrest as L1s if maintained on CoCl2. These L1-arrested progeny recover and develop into reproductive adults when they are transferred to regular culture conditions (Fig. 6d). However, progeny of CoCl2-treated pqm-1 mothers are impaired in their ability to exit L1 larval arrest (Fig. 6d) and subsequently die, indicating that PQM-1 activity is essential for wild-type progeny to survive under hypoxic stress and subsequent recovery. Taken together, our results point to a balancing role for PQM-1 in hypoxic conditions, promoting progeny survival at the cost of somatic integrity of the parental generation (Fig. 6e).

Discussion

Here we have found that the zinc finger transcription factor PQM-1 is a regulator of lipid metabolism and subsequent survival in hypoxic conditions, affecting both parental and progeny survival. Organisms metabolize energy sources through the process of respiration, and fatty acids and carbohydrates are the major energetic substrates for ATP production. The volume of oxygen consumed, and the volume of carbon dioxide produced (the “respiratory quotient”) depends on the fuel source. Molecules that are less oxidized, such as fatty acids, require more oxygen to be metabolized to CO2 and H2O than do fuel sources that are more oxidized, such as carbohydrates. Although lipid oxidation provides more ATP than carbohydrates, it also requires more oxygen per mole of ATP synthesized37. Therefore, glycolysis, especially anaerobic glycolysis, is an oxygen-saving but less effective process for energy production, in contrast to lipid catabolism, which consumes oxygen through oxidation of lipids in mitochondria37. When oxygen is abundant, fat metabolism is highly efficient and is thus the preferred catabolic pathway, but in hypoxic conditions, the relatively high rate of oxygen consumption can have deleterious effects on a tissue or an organism. Glycogen is the primary energy source for C. elegans in anoxia18.

We found that pqm-1(ok485) mutants maintain higher glycogen levels under chemical hypoxia conditions. Reduction of sorbitol dehydrogenase-1 (sodh-1), which is strongly upregulated in the absence of pqm-1, diminished the elevated glycogen content of pqm-1(ok485) mutants. SODH-1 enzymatic activity converts sorbitol, the sugar alcohol form of glucose, into fructose21. Sorbitol is metabolized to glycogen in diapause eggs of insects (Bombyx mori) depending on the state of the diapause25. SODH-1 activity is upregulated at the termination of diapause and metabolizes sorbitol to fructose, which is further converted to glycogen25,26,38. We anticipate that a similar sorbitol-to-glycogen metabolic pathway functions in C. elegans. Our data indicate that loss of pqm-1 and thus elevated sodh-1 expression is associated with increased glycogen storage, while loss of pqm-1 resulted in a reduction of fat-7 desaturase expression and diminished lipid levels under hypoxic stress.

The enzymatic reaction that FAT-7 carries out, desaturation of stearic acid to oleic acid, requires molecular oxygen39, and our data suggest that basal and maximal oxygen consumption rates are decreased in both pqm-1 and fat-7 mutants. A functional link between the desaturation of lipids and respiration has been previously established in plants40, through a deficiency in an ω−6-oleate desaturase, which regulates lipid metabolism and respiration. Similarly, we found that basal and maximal oxygen consumption rates are decreased in both pqm-1 and fat-7 mutants. Our data suggest that PQM-1 might act as a metabolic gatekeeper in hypoxia, repressing sodh-1 expression and glycogen levels, while promoting the expression of the stearoyl-CoA desaturase FAT-7. FAT-7 activity, in turn, regulates lipid biosynthesis and lipid desaturation, which is required for respiratory activity and oxygen consumption.

The suppression of lipid metabolism in a hypoxic tissue that largely relies on carbohydrates (glucose) as an energy source is demonstrated during cardiac development41. The developing embryonic heart is exposed to hypoxic conditions, but is highly protected against hypoxic stress through the reduction of lipid metabolic processes42. Downregulation of fat metabolism by the activity of the basic helix-loop-helix transcription factor HAND1 decreases both basal and maximal OCRs. The decreased oxygen consumption rate in cardiomyocytes provides a protective metabolic strategy for tissue development under low oxygen tension. Inhibition of cellular lipid metabolism by etomoxir, a carnitine palmitoyltransferase antagonist that prevents mitochondrial long-chain fatty acid import, also decreases OCR and protects against myocardial ischemia43,44; downregulation of lipid metabolism and OCRs resulted in a shift of energy metabolism to glycolysis.

Why has a PQM-1-mediated mechanism to boost hypoxic fat levels evolved, if this seems to have negative implications for survival under hypoxic stress? We hypothesize that PQM-1 positively regulates intestinal fat production and transportation to oocytes to fuel reproduction in hypoxic animals. Such a strategy might enable some progeny to escape hypoxic stress conditions, thereby ensuring survival of the population. An investment in reproduction is beneficial for the population, even if detrimental to the individual mother. A similar trade-off between viability and fecundity has been previously described when C. elegans is exposed to nutrient-poor and oxidative stress environments29. During reproduction, somatic resources, particularly lipids, are reallocated to the germline. Fat is produced in the intestine and the hypodermis and transported by the actions of vitellogenins45, which assemble with transport lipids in the form of yolk to shuttle fat from the intestine to the developing oocytes. When resources are limited, lipid reallocation appears to promote fecundity at the cost of somatic integrity of the parental generation. We found that vitellogenins were downregulated in pqm-1 mutants upon hypoxic stress (Fig. 5e, f and Supplementary Fig. 5c, Supplementary Data 2); thus, vitellogenin genes are normally positively regulated by PQM-1 upon hypoxic stress, to facilitate lipid transport from the mother’s intestine into developing eggs and to support progeny survival. The transcriptional properties of PQM-1 appear to be dependent on additional transcription factors such as CEH-60, which functions as a key regulator for the expression of vitellogenins along with UNC-6232,34,46,47. Previously, it was demonstrated that PQM-1 suppresses vitellogenin expression and acts as a downstream transcriptional effector of TORC2 signaling48. However, these studies were performed under regular, normoxic growth conditions, rather than hypoxic stress. Thus, it appears that PQM-1 controls vitellogenin expression depending on environmental conditions, which might affect the promoter context of its target genes resulting in different transcriptional responses under stress versus standard growth conditions.

Taken together, PQM-1 activity under hypoxic stress increases lipid levels by positively regulating fatty acid synthesis via fat-7 expression, and by promoting reallocation of fat to embryos through vitellogenin expression. This, in turn, boosts lipid-dependent embryonic development inside the worm’s uterus (Figs. 5a, b; 6a, b) and promotes progeny survival in a hypoxic environment (Fig. 6d). Somatic allocation of limited lipid resources into the promotion of reproduction during hypoxic stress is detrimental for individual viability, but may increase the chance of species survival through investment in the next generation. Because lipid and carbohydrate-related pathways are well conserved across species, deciphering mechanisms implicated in metabolic remodeling in C. elegans will be beneficial for the development of treatment strategies to treat cancer and age-related diseases in humans.

Methods

C. elegans genetics

All strains were cultured using standard methods49. In all experiments, N2 is wild type.

Strains

CQ200 (pqm-1(ok485);daf-2(e1370));

CQ528 (pqm-1(ok485));

CF1041 (daf-2(e1370));

CQ565 (daf-16(mu86);pqm-1(ok485));

DMS303 (nIs590[Pfat-7::fat-7::GFP + lin-15(+)]);

BR8808 (daf-2(e1370);nIs590[Pfat-7::fat-7::GFP + lin-15(+)]);

BR8807 (pqm-1(ok485);daf-2(e1370);nIs590[Pfat-7::fat-7::GFP + lin-15(+)]);

CQ609 (pqm-1(ok485);(nIs590[Pfat-7::fat-7::GFP + lin-15(+)]);

BX153 (fat-7(wa36));

BR8610 (sodh-1(ok2799));

BR8611 (pqm-1(ok485);sodh-1(ok2799));

CF1038 (daf-16(mu86));

CF2124 (muIs139[dod-11p::RFP(NLS) + rol-6(su1006)]);

BR8809 (daf-16(mu86);muIs139[dod-11p::RFP(NLS) + rol-6(su1006)]);

RT130 (pwIs23[vit-2::GFP]);

BR8724 (pqm-1(ok485);pwIs23[vit-2::GFP]);

RT362 (rme-4(b1001);pwIs32[vit-2::GFP]); OP201 (unc-119(tm4063);wgIs201[pqm-1::TY1::EGFP::3xFLAG(92C12) + unc-119(+)]).

All animals were synchronized at the L4 larval stage for adult analyses, as pqm-1 mutants develop slower than do wild-type animals15.

Survival analysis

Synchronized L4 larvae were picked onto plates to eliminate any contribution of delayed development into survival analysis. Worm were grown for several generations on 20 °C without starvation. The log-rank (Mantel–Cox) method was used to test the null hypothesis (two-sided hypothesis test) in Kaplan–Meier survival analysis, as previously described50, and evaluated using Prism survival analysis software. All survival experiments were carried out at 20 °C; n ≥ 60 per strain/trial.

Cobalt chloride-based survival assays

A 200 mM cobalt chloride (CoCl2) stock solution (Cobalt(II) chloride hexahydrate, Sigma-Aldrich) was prepared, and filter sterilized using a 0.22 µm filter as described previously8. OP50 bacteria (60 µl bacteria solution) were seeded in the center of 6 cm NG plates previously dried for 3–4 days at room temperature. OP50 bacteria were grown on plates for 18–20 h at room temperature. To prepare CoCl2 plates, 250 µl of the 200 mM CoCl2 stock solution was added to 6 cm NG plates (contain ~10 ml NG agar) with seeded, over-night grown OP50 bacteria, which results in a 5 mM final concentration of CoCl2. The CoCl2 solution was immediately distributed equally over the surface of the plate with a spreader (carefully, not to remove seeded OP50; a thin OP50 layer can result in increased bagging of worms during the assay). The CoCl2 solution was completely taken up by the plate resulting in dry plates before worms were added. A thin ring of 100% glycerol was added along the plastic wall of the plate to reduce the number of worms crawling off the agar. Plates were incubated with lids facing up, which can reduce the number of worms crawling off CoCl2 containing plates. To obtain synchronized worm cultures, 75–180 L4 larvae were picked for each strain, grown for 3 h on OP50 bacteria and added to freshly prepared CoCl2 plates (3 h-post-L4 picking, corresponds to first day in survival assay). Droplets of moisture were removed from the inside of the plate’s plastic wall using a sterilized filter paper. Thus, the number of worms escaping into water droplets is reduced during survival assays. Worms displaying intrauterine hatching were censored. Intrauterine hatching is difficult to control in CoCl2-based assays and might vary between experiments. The log-rank (Mantel–Cox) method was used to test the null hypothesis (two-sided hypothesis test) in Kaplan–Meier survival analysis, as previously described50, and evaluated using Prism survival analysis software.

Cobalt chloride-based matricide assays

L4-synchronized worms and CoCl2-containing plates were prepared as described above for survival assays. Worms are exposed to CoCl2 at the L4 stage (Fig. 6c) or the day 1 of adulthood stage (Fig. 4d). Exposure of worms at the L4 stage results in reduced matricide rates over time (e.g. ~10–25% for wild type worms), enabling the calculation of matricide curves (Fig. 6c), whereas challenging day 1 adult worms with CoCl2 causes already higher rates of internal hatching after 2 days of CoCl2 exposure (Fig. 4d). In experiments for Fig. 4d worms were immediately seeded to CoCl2-containing OP50 plates after CoCl2 was taken up by the plate.

Oil Red O-based lipid staining and quantification

Worms were grown for several generations on 20 °C without starvation. For lipid staining experiments, L4-synchronized worms were grown to day 1 of adulthood. OP50 Plates were prepared as described above. CoCl2 solution was added to plates (2.5 mM final concentration). 0.5–1 h after adding CoCl2 to plates seeded with OP50 bacteria, worms were transferred to CoCl2 plates and exposed to CoCl2 conditions for 40–52 hr. A 0.5% Oil Red O stock solution was prepared in high-quality 100% isopropanol as described previously51. For staining of worms, the stock solution was diluted to 60% with sterile water, incubated on a rocking platform at room temperature overnight and filtered through a 0.45 µm filter. Worms were resuspended in 500 µl 60% isopropanol for fixation. Isopropanol was aspirated, 500 µl of freshly filtered Oil Red O working solution was added and worm strains were incubated in a Thermomixer at 25 °C using mild agitation (550 rpm) for 16 h. Animals were washed three times with 500 µl of 0.01% Triton X-100 in M9 buffer and stored at 4 °C followed by imaging on a Nikon Eclipse Ti microscope (20x objective) or an Axioplan 2 Imaging microscope (Carl Zeiss AG, 10x objective for worms, ×20 objective for eggs). For quantification of the lipid content of eggs based on Oil Red O staining, eggs were dissected out of Oil Red O-stained worms followed by imaging as describe above (20x objective). Oil Red O quantification was performed as previously described52. In brief, color images were split into RGB monochromatic images in Image J (Fiji). The Oil Red O intensity was determined by calculating the mean gray value within a worm region or within an egg area (Intensity of the blue channel was used as the signal, adjusted by the intensity in the Red channel as the background).

RNA collection and microarray hybridization and analysis

RNA was purified from hypochlorite-synchronized populations of early day 1 adults using Trizol (Gibco) and the RNeasy kit (Qiagen)14,53. Using the two-color microarray-based gene expression analysis kit from Agilent Technologies, cRNA was synthesized and linearly amplified from 100 ng of total RNA, labeled with Cy3 and Cy5-CTP dyes (Amersham), fragmented and hybridized overnight on Agilent 4 × 44K C. elegans arrays at 60 °C. Three biological replicates of CoCl2-treated pqm-1(ok435) versus CoCl2-treated wild type were compared to untreated pqm-1(ok435) versus untreated wild type. In addition, CoCl2-treated pqm-1(ok435) versus untreated pqm-1(ok435) were compared to CoCl2-treated WT versus untreated WT. Significant differentially-expressed gene sets were identified using one or two-class SAM54. Gene ontology analysis (GO) was performed utilizing DAVID (Database for Annotation, Visualization and Integrated Discovery)55 and g:Profiler56. GO categories were visualized with REVIGO (Reduce and Visualize Gene Ontology)57. The accession number for the microarray experiments reported in this paper is: GSE139562 (NCBI Gene Expression Omnibus (GEO) repository).

Quantitative RT–PCR

Total RNA was isolated as described above for microarray analysis. Quantitative RTPCR was performed as described previously58. SybrGreen real-time PCR experiments were performed with a 1:8 dilution of cDNA using a LightCycler 96 Instrument (Roche Life Science) following the manufacturer’s instructions. Data were analyzed with the standard curve method using the geometric mean of cdc-42, pmp-3 and Y45F10D.4 as an endogenous control59. Primers for the quantification of vitellogenin and ceh-60 expression have been described previously34. Additional primers utilized for real-time PCR of sodh-1, fat-7, and unc-62 are listed in Supplementary Table 1.

Glycogen staining

Worm strains were exposed at the L4 larval stage to 5 mM CoCl2 for 4–5 days. Differences in glycogen levels between strains were more pronounced when worms were exposed to CoCl2 for a longer time period such as 4–5 days. To reduce lethality or matricide of worms for a prolonged incubation with CoCl2, the CoCl2 solution was added to OP50 seeded plates 0.5 h to 1 h before worms were added. Worms displaying internal hatching during prolonged CoCl2 exposure were not used for the Glycogen straining. Following CoCl2 exposure, two worm strains were pairwise compared by picking individuals into an M9 droplet on an agar pad (two small agar pads were placed next to each other on the same slide). As soon as the M9 droplets were largely evaporated, the pads were inverted over the opening of a 50 g bottle of iodine crystal chips (Sigma, St. Louis, MO) for 90 s18. After the iodine stained color of the agar pads disappeared (non-specific staining), worms (about 10–15 worms per treatment) were immediately imaged on a Nikon Eclipse Ti microscope (×20 objective) or an Axioplan 2 Imaging microscope (Carl Zeiss AG, 10x objective). Image J (Fiji) was used to determine the mean intensity of iodine staining within a worm region after the background was subtracted.

Measurement of oxygen consumption rate (OCR)

OCR measurement was carried out as previously described60. Worms were synchronized at the L4 stage and OCR measurement was performed at early adulthood (day 1 of adulthood stage). Approximately 15–20 animals were pipetted into each well of a Seahorse XF96 utility plate. Six replicates per strain were used (6 biological repeats). The Seahorse program was set up in a way that each oxygen consumption measurement consisted of a two-minute mix cycle, followed by a one-minute wait period (to allow worms to settle), and finally a 2-min interval for measurement of oxygen levels. OCRs were normalized by worm number and worm body area. To determine the basal OCR, we averaged the first tree measurements. The uncoupler FCCP was injected twice (10 µM each injection) followed by sodium acid injection (40 mM). The first two measurements after FCCP injection were variable. Therefore, we averaged measurements 3–10 after FCCP injection to obtain the maximal OCR.

Hypoxic incubation

Survival analysis of worms in a hypoxic glove box (Ruskinn Invivo 400 Hypoxic Workstation) were performed as previously published17. Worms at the day 1 of adulthood stage (synchronized at the L4 stage) were exposed in 200 µl M9 buffer in a 1.5 ml tube to <0.3% O2 (balanced with nitrogen) for 16 hr at 26 °C followed by an 8 h or one-day recovery period on OP50 plates in room air at 20 °C. Oxygen levels in the hypoxic glove box were additionally monitored using a Greisinger GMH 3692 oxygen meter with a Greisinger GGO 370 oxygen sensor.

L1 arrest-based survival assay of progeny

L1 larvae were hatched from eggs laid on OP50 plates containing 5 mM CoCl2. Larvae did not develop further and arrested when exposed to CoCl2. 60–180 arrested larvae per strain were transferred every day to fresh OP50 plates without CoCl2 and analyzed for their ability to exit and survive the larval arrest and develop to adulthood.

RNAi treatment

RNAi-treated worm strains were fed E. coli (OP50(xu363))61 containing an empty-vector construct or a construct expressing double-stranded RNA (dsRNA) against the gene of interest. pqm-1(ok485)-mediated survival extension in CoCl2 assays is dependent on the OP50 bacterial background. All RNAi-mediated knock down experiments were performed in the OP50(xu363) bacterial background, except knock downs of ceh-60 and unc-62 for RT-qPCR experiments were performed in the HT115 bacterial background, because the ceh-60 construct inhibited growth of OP50(xu363) bacteria.

Statistics and reproducibility

All data in this article are expressed as mean ± standard deviation (SD) unless otherwise noted. Two-tailed t- test analysis, two-way ANOVA analysis, and two-sided Chi-square analysis were performed to compare different groups in this study (without adjustments for multiple comparisons). Confidence intervals of 95% were chosen for two-tailed t -test and Chi-square analysis. Probability values below 0.05 were considered statistically significant. Kaplan–Meier analysis with log-rank (Mantel–Cox) method was applied using a two-sided hypothesis test (with Prism) to compare survival curves of different groups. Three independent experiments were performed unless otherwise noted, and representative results were shown. RT-qPCR experiments were performed once using three to four biological replicates to validate microarray and reporter-based analysis. Significant differentially-expressed gene sets originating from microarrays were identified by one or two-class SAM54. SAM uses two-sided statistical testing and reports q-values, which are false discovery rates (multiple comparisons are performed).

Supplementary information

41467_2020_18369_MOESM2_ESM.pdf (82.9KB, pdf)

Description of Additional Supplementary Information

Supplementary Data 1 (80.8KB, xlsx)
Supplementary Data 2 (365.7KB, xlsx)
Supplementary Data 3 (80.9KB, xlsx)
Supplementary Data 4 (234.6KB, xlsx)

Acknowledgements

This work was supported by the NIH NIA 1R56AG047344-01A1 293 (C.T.M.) and the Glenn Foundation for Medical Research. C.T.M. is the Director of the Glenn Center for Aging Research at Princeton, which also supports T.H. We thank the Caenorhabditis Genetics center for providing C. elegans strains, and Jasmine Ashraf for technical assistance. Princeton University MicroArray database (PUMAdb) is funded in part by the National Institute of General Medical Sciences (NIGMS) [NIH grant P50 GM071508]. We thank Justus Kleifeld for performing hypoxic glove box experiments, Prof. Ralf Baumeister and members of his laboratory for substantial support to complete this study. We also thank members of the C.T.M. laboratory for comments on the paper.

Source data

Source Data (98KB, xlsx)

Author contributions

T.H. and C.T.M. designed experiments. T.H., J.H., and P.G. performed experiments. T.H. and C.T.M. wrote the paper.

Data availability

Microarray datasets generated and analyzed during the current study are available in the NCBI Gene Expression Omnibus (GEO) repository under the GEO accession number GSE139562. All other data that support the findings of this study are available from the corresponding authors upon request. Following databases/analysis tools have been used for data analysis in this study: DAVID, Database for Annotation, Visualization and Integrated Discovery [https://david.ncifcrf.gov/]; g:Profiler [https://biit.cs.ut.ee/gprofiler/gost]; REVIGO, Reduce and Visualize Gene Ontology [http://revigo.irb.hr/]; SAM, Significance Analysis of Microarrays [https://statweb.stanford.edu/~tibs/SAM/] and Princeton University MicroArray database, PUMAdb [https://puma.princeton.edu/about.shtml]. Source data are provided with this paper.

Competing interests

The authors declare no competing interests.

Footnotes

Peer review information Nature Communications thanks Patricija van Oosten-Hawle and Pamela Padilla for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Thomas Heimbucher, Email: thomas.heimbucher@biologie.uni-freiburg.de.

Coleen T. Murphy, Email: ctmurphy@princeton.edu

Supplementary information

Supplementary information is available for this paper at 10.1038/s41467-020-18369-w.

References

  • 1.Semenza GL. Oxygen sensing, hypoxia-inducible factors, and disease pathophysiology. Annu. Rev. Pathol. 2014;9:47–71. doi: 10.1146/annurev-pathol-012513-104720. [DOI] [PubMed] [Google Scholar]
  • 2.Padilla, P. A., Goy, J. M. & Hajeri, V. A. Anoxia-induced suspended animation in Caenorhabditis elegans, in Anoxia, (ed. Dr. Pamela Padilla). InTech Europe (2012).
  • 3.Gray JM, et al. Oxygen sensation and social feeding mediated by a C. elegans guanylate cyclase homologue. Nature. 2004;430:317–322. doi: 10.1038/nature02714. [DOI] [PubMed] [Google Scholar]
  • 4.Chang AJ, Chronis N, Karow DS, Marletta MA, Bargmann CI. A distributed chemosensory circuit for oxygen preference in C. elegans. PLoS Biol. 2006;4:e274. doi: 10.1371/journal.pbio.0040274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Baumgartl H, Kritzler K, Zimelka W, Zinkler D. Local PO2 measurements in the environment of submerged soil microarthropods. Acta-Oecologica. 1994;15:781–789. [Google Scholar]
  • 6.Van Voorhies WA, Ward S. Broad oxygen tolerance in the nematode Caenorhabditis elegans. J. Exp. Biol. 2000;203:2467–2478. doi: 10.1242/jeb.203.16.2467. [DOI] [PubMed] [Google Scholar]
  • 7.Padilla PA, Nystul TG, Zager RA, Johnson AC, Roth MB. Dephosphorylation of cell cycle-regulated proteins correlates with anoxia-induced suspended animation in Caenorhabditis elegans. Mol. Biol. Cell. 2002;13:1473–1483. doi: 10.1091/mbc.01-12-0594. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Padmanabha D, Padilla PA, You YJ, Baker KD. A HIF-independent mediator of transcriptional responses to oxygen deprivation in Caenorhabditis elegans. Genetics. 2015;199:739–748. doi: 10.1534/genetics.114.173989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Scott BA, Avidan MS, Crowder CM. Regulation of hypoxic death in C. elegans by the insulin/IGF receptor homolog DAF-2. Science. 2002;296:2388–2391. doi: 10.1126/science.1072302. [DOI] [PubMed] [Google Scholar]
  • 10.Mendenhall AR, LaRue B, Padilla PA. Glyceraldehyde-3-phosphate dehydrogenase mediates anoxia response and survival in Caenorhabditis elegans. Genetics. 2006;174:1173–1187. doi: 10.1534/genetics.106.061390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Kenyon C, Chang J, Gensch E, Rudner A, Tabtiang RAC. elegans mutant that lives twice as long as wild type. Nature. 1993;366:461–464. doi: 10.1038/366461a0. [DOI] [PubMed] [Google Scholar]
  • 12.Ogg S, et al. The Fork head transcription factor DAF-16 transduces insulin-like metabolic and longevity signals in C. elegans. Nature. 1997;389:994–999. doi: 10.1038/40194. [DOI] [PubMed] [Google Scholar]
  • 13.Lin K, Dorman JB, Rodan A, Kenyon C. daf-16: An HNF-3/forkhead family member that can function to double the life-span of Caenorhabditis elegans. Science. 1997;278:1319–1322. doi: 10.1126/science.278.5341.1319. [DOI] [PubMed] [Google Scholar]
  • 14.Murphy CT, et al. Genes that act downstream of DAF-16 to influence the lifespan of Caenorhabditis elegans. Nature. 2003;424:277–283. doi: 10.1038/nature01789. [DOI] [PubMed] [Google Scholar]
  • 15.Tepper, Ashraf 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;154:676–690. doi: 10.1016/j.cell.2013.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Epstein AC, et al. C. elegans EGL-9 and mammalian homologs define a family of dioxygenases that regulate HIF by prolyl hydroxylation. Cell. 2001;107:43–54. doi: 10.1016/s0092-8674(01)00507-4. [DOI] [PubMed] [Google Scholar]
  • 17.Mabon ME, Scott BA, Crowder CM. Divergent mechanisms controlling hypoxic sensitivity and lifespan by the DAF-2/insulin/IGF-receptor pathway. PLoS ONE. 2009;4:e7937. doi: 10.1371/journal.pone.0007937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Frazier HN, 3rd, Roth MB. Adaptive sugar provisioning controls survival of C. elegans embryos in adverse environments. Curr. Biol. 2009;19:859–863. doi: 10.1016/j.cub.2009.03.066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.LaMacchia JC, Frazier HN, 3rd, Roth MB. Glycogen fuels survival during hyposmotic-anoxic stress in Caenorhabditis elegans. Genetics. 2015;201:65–74. doi: 10.1534/genetics.115.179416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.LaRue BL, Padilla PA. Environmental and genetic preconditioning for long-term anoxia responses requires AMPK in Caenorhabditis elegans. PLoS ONE. 2011;6:e16790. doi: 10.1371/journal.pone.0016790. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.El-Kabbani O, Darmanin C, Chung RP. Sorbitol dehydrogenase: structure, function and ligand design. Curr. Med. Chem. 2004;11:465–476. doi: 10.2174/0929867043455927. [DOI] [PubMed] [Google Scholar]
  • 22.Artyukhin AB, Yim JJ, Cheong Cheong M, Avery L. Starvation-induced collective behavior in C. elegans. Sci. Rep. 2015;5:10647. doi: 10.1038/srep10647. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Schieber M, Chandel NS. TOR signaling couples oxygen sensing to lifespan in C. elegans. Cell Rep. 2014;9:9–15. doi: 10.1016/j.celrep.2014.08.075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Zhang P, Judy M, Lee SJ, Kenyon C. Direct and indirect gene regulation by a life-extending FOXO protein in C. elegans: roles for GATA factors and lipid gene regulators. Cell Metab. 2013;17:85–100. doi: 10.1016/j.cmet.2012.12.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Singh T, Singh PK, Sahaf KA. Egg diapause and metabolic modulations during embryonic development in the silkworm, Bombyx mori L. (Lepidoptera: Bombycidae) Ann. Biol. Res. 2013;4:12–21. [Google Scholar]
  • 26.Yaginuma T, Yamashita O. NAD-dependent sorbitol dehydrogenase activity in relation to the termination of diapause in eggs of Bombyx mori. Insect Biochem. 1979;9:547–553. [Google Scholar]
  • 27.Ma DK, et al. Acyl-CoA dehydrogenase drives heat adaptation by sequestering fatty acids. Cell. 2015;161:1152–1163. doi: 10.1016/j.cell.2015.04.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Shi X, et al. Regulation of lipid droplet size and phospholipid composition by stearoyl-CoA desaturase. J. Lipid Res. 2013;54:2504–2514. doi: 10.1194/jlr.M039669. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Lynn DA, et al. Omega-3 and -6 fatty acids allocate somatic and germline lipids to ensure fitness during nutrient and oxidative stress in Caenorhabditis elegans. Proc. Natl Acad. Sci. USA. 2015;112:15378–15383. doi: 10.1073/pnas.1514012112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kimble J, Sharrock WJ. Tissue-specific synthesis of yolk proteins in Caenorhabditis elegans. Dev. Biol. 1983;96:189–196. doi: 10.1016/0012-1606(83)90322-6. [DOI] [PubMed] [Google Scholar]
  • 31.Grant B, Hirsh D. Receptor-mediated endocytosis in the Caenorhabditis elegans oocyte. Mol. Biol. Cell. 1999;10:4311–4326. doi: 10.1091/mbc.10.12.4311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Van Rompay L, Borghgraef C, Beets I, Caers J, Temmerman L. New genetic regulators question relevance of abundant yolk protein production in C. elegans. Sci. Rep. 2015;5:16381. doi: 10.1038/srep16381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Chotard L, Skorobogata O, Sylvain MA, Shrivastava S, Rocheleau CE. TBC-2 is required for embryonic yolk protein storage and larval survival during L1 diapause in Caenorhabditis elegans. PLoS ONE. 2010;5:e15662. doi: 10.1371/journal.pone.0015662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Dowen, R. H. CEH-60/PBX and UNC-62/MEIS coordinate a metabolic switch that supports reproduction in C. elegans. Dev Cell49, 235–250.e7 (2019). [DOI] [PubMed]
  • 35.Sato M, et al. Regulation of endocytic recycling by C. elegans Rab35 and its regulator RME-4, a coated-pit protein. EMBO J. 2008;27:1183–1196. doi: 10.1038/emboj.2008.54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Chen J, Caswell-Chen EP. Facultative vivipary is a life-history trait in Caenorhabditis elegans. J. Nematol. 2004;36:107–113. [PMC free article] [PubMed] [Google Scholar]
  • 37.Leverve X, Batandier C, Fontaine E. Choosing the right substrate. Novartis Found. Symp. 2007;280:108–121. [PubMed] [Google Scholar]
  • 38.Yaginuma T, Yamashita O. Polyol metabolism related to diapause in Bombyx eggs: different behaviour of sorbitol from glycerol during diapause and post-diapause. J. Insect Physiol. 1978;24:347–349. [Google Scholar]
  • 39.Kamphorst JJ, et al. Hypoxic and Ras-transformed cells support growth by scavenging unsaturated fatty acids from lysophospholipids. Proc. Natl Acad. Sci. USA. 2013;110:8882–8887. doi: 10.1073/pnas.1307237110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Caiveau O, Fortune D, Cantrel C, Zachowski A, Moreau F. Consequences of omega -6-oleate desaturase deficiency on lipid dynamics and functional properties of mitochondrial membranes of Arabidopsis thaliana. J. Biol. Chem. 2001;276:5788–5794. doi: 10.1074/jbc.M006231200. [DOI] [PubMed] [Google Scholar]
  • 41.Essop MF. Cardiac metabolic adaptations in response to chronic hypoxia. J. Physiol. 2007;584:715–726. doi: 10.1113/jphysiol.2007.143511. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Breckenridge RA, et al. Hypoxic regulation of hand1 controls the fetal-neonatal switch in cardiac metabolism. PLoS Biol. 2013;11:e1001666. doi: 10.1371/journal.pbio.1001666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Hogberg H, et al. Temperature dependence of O2 consumption; opposite effects of leptin and etomoxir on respiratory quotient in mice. Obesity (Silver Spring) 2006;14:673–682. doi: 10.1038/oby.2006.76. [DOI] [PubMed] [Google Scholar]
  • 44.Lopaschuk GD, Wall SR, Olley PM, Davies NJ. Etomoxir, a carnitine palmitoyltransferase I inhibitor, protects hearts from fatty acid-induced ischemic injury independent of changes in long chain acylcarnitine. Circ. Res. 1988;63:1036–1043. doi: 10.1161/01.res.63.6.1036. [DOI] [PubMed] [Google Scholar]
  • 45.Weaver BP, Sewell AK, Han M. Time to move the fat. Genes Dev. 2016;30:1481–1482. doi: 10.1101/gad.285460.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Van Nostrand EL, Sanchez-Blanco A, Wu B, Nguyen A, Kim SK. Roles of the developmental regulator unc-62/Homothorax in limiting longevity in Caenorhabditis elegans. PLoS Genet. 2013;9:e1003325. doi: 10.1371/journal.pgen.1003325. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Heimbucher T, Murphy CT. A PBX/MEIS complex balances reproduction and somatic resilience. Dev. Cell. 2019;49:157–158. doi: 10.1016/j.devcel.2019.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Dowen RH, Breen PC, Tullius T, Conery AL, Ruvkun G. A microRNA program in the C. elegans hypodermis couples to intestinal mTORC2/PQM-1 signaling to modulate fat transport. Genes Dev. 2016;30:1515–1528. doi: 10.1101/gad.283895.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Brenner S. The genetics of Caenorhabditis elegans. Genetics. 1974;77:71–94. doi: 10.1093/genetics/77.1.71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Lawless, J. F. Statistical models and methods for lifetime data (Wiley & Sons, Inc., 1982, 2003).
  • 51.Wahlby C, et al. High- and low-throughput scoring of fat mass and body fat distribution in C. elegans. Methods. 2014;68:492–499. doi: 10.1016/j.ymeth.2014.04.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.O’Rourke EJ, Soukas AA, Carr CE, Ruvkun G. C. elegans major fats are stored in vesicles distinct from lysosome-related organelles. Cell Metab. 2009;10:430–435. doi: 10.1016/j.cmet.2009.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Shaw WM, Luo S, Landis J, Ashraf J, Murphy CT. The C. elegans TGF-beta Dauer pathway regulates longevity via insulin signaling. Curr. Biol. 2007;17:1635–1645. doi: 10.1016/j.cub.2007.08.058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Tusher VG, Tibshirani R, Chu G. Significance analysis of microarrays applied to the ionizing radiation response. Proc. Natl Acad. Sci. USA. 2001;98:5116–5121. doi: 10.1073/pnas.091062498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Huang da W, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 2009;4:44–57. doi: 10.1038/nprot.2008.211. [DOI] [PubMed] [Google Scholar]
  • 56.Reimand J, Kull M, Peterson H, Hansen J, Vilo J. g:Profiler–a web-based toolset for functional profiling of gene lists from large-scale experiments. Nucleic Acids Res. 2007;35:W193–W200. doi: 10.1093/nar/gkm226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Supek F, Bosnjak M, Skunca N, Smuc T. REVIGO summarizes and visualizes long lists of gene ontology terms. PLoS ONE. 2011;6:e21800. doi: 10.1371/journal.pone.0021800. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Heimbucher T, et al. The deubiquitylase MATH-33 controls DAF-16 stability and function in metabolism and longevity. Cell Metab. 2015;22:151–163. doi: 10.1016/j.cmet.2015.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.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. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Koopman M, et al. A screening-based platform for the assessment of cellular respiration in Caenorhabditis elegans. Nat. Protoc. 2016;11:1798–1816. doi: 10.1038/nprot.2016.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Xiao R, et al. RNAi interrogation of dietary modulation of development, metabolism, behavior, and aging in C. elegans. Cell Rep. 2015;11:1123–1133. doi: 10.1016/j.celrep.2015.04.024. [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

41467_2020_18369_MOESM2_ESM.pdf (82.9KB, pdf)

Description of Additional Supplementary Information

Supplementary Data 1 (80.8KB, xlsx)
Supplementary Data 2 (365.7KB, xlsx)
Supplementary Data 3 (80.9KB, xlsx)
Supplementary Data 4 (234.6KB, xlsx)

Data Availability Statement

Microarray datasets generated and analyzed during the current study are available in the NCBI Gene Expression Omnibus (GEO) repository under the GEO accession number GSE139562. All other data that support the findings of this study are available from the corresponding authors upon request. Following databases/analysis tools have been used for data analysis in this study: DAVID, Database for Annotation, Visualization and Integrated Discovery [https://david.ncifcrf.gov/]; g:Profiler [https://biit.cs.ut.ee/gprofiler/gost]; REVIGO, Reduce and Visualize Gene Ontology [http://revigo.irb.hr/]; SAM, Significance Analysis of Microarrays [https://statweb.stanford.edu/~tibs/SAM/] and Princeton University MicroArray database, PUMAdb [https://puma.princeton.edu/about.shtml]. Source data are provided with this paper.


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