Abstract
Fatty acid desaturation is central to metazoan lipid metabolism and provides building blocks of membrane lipids and precursors of diverse signaling molecules. Nutritional conditions and associated microbiota regulate desaturase expression, but the underlying mechanisms have remained unclear. Here, we show that endogenous and microbiota-dependent small molecule signals promote lipid desaturation via the nuclear receptor NHR-49/PPARα in C. elegans. Untargeted metabolomics of a β-oxidation mutant, acdh-11, in which expression of the stearoyl-CoA desaturase FAT-7/SCD1 is constitutively increased, revealed accumulation of a β-cyclopropyl fatty acid, becyp#1, that potently activates fat-7 expression via NHR-49. Biosynthesis of becyp#1 is strictly dependent on expression of cyclopropane synthase by associated bacteria, e.g., E. coli. Screening for structurally related endogenous metabolites revealed a β-methyl fatty acid, bemeth#1, which mimics the activity of microbiota-dependent becyp#1 but is derived from a methyltransferase, fcmt-1, that is conserved across Nematoda and likely originates from bacterial cyclopropane synthase via ancient horizontal gene transfer. Activation of fat-7 expression by these structurally similar metabolites is controlled by distinct mechanisms, as microbiota-dependent becyp#1 is metabolized by a dedicated β-oxidation pathway, while the endogenous bemeth#1 is metabolized via α-oxidation. Collectively, we demonstrate that evolutionarily related biosynthetic pathways in metazoan host and associated microbiota converge on NHR-49/PPARα to regulate fat desaturation.
Subject terms: Metabolomics, Metabolic pathways, Caenorhabditis elegans, Fatty acids
Fatty acid desaturation is central to metazoan lipid metabolism. Here, using C. elegans as a model, the authors show that both endogenous and microbiota-dependent small molecule signals converge to promote lipid desaturation via the nuclear receptor NHR-49/PPARα.
Introduction
Metazoan metabolism is intricately linked to that of associated microbiota, and host-microbial co-evolution has resulted in complex metabolic networks governing metazoan physiology1,2. Microbial metabolites influence lipid composition of membranes and fat stores3–5, modulate signaling pathways that regulate host immune function6,7, and provide diet-derived metabolic feedback8,9. Fatty acid desaturation plays a central role in lipid membrane and metabolic homeostasis10,11, and is governed by highly conserved stearoyl-CoA desaturase (SCD1, Fig. 1A). Correspondingly, perturbation of SCD1 expression has pervasive effects on physiology, for example, changes in SCD1 expression are associated with obesity and insulin resistance12,13 and are a hallmark of inflammatory and autoimmune diseases as well as many cancers14–17.
Nuclear receptors (NRs) of the liver-X receptor (LXR) and peroxisome-proliferator activated receptor (PPAR) families are master regulators of vertebrate lipid metabolism, including SCD1 expression (Fig. 1A)18,19. Synthetic PPARα agonists, e.g. fibrates, are prescribed to combat metabolic disorders and promote expression of SCD118,20. Endogenous regulation of PPARα activity relies on metabolic and nutritional feedback21–24; however, it is unclear whether there exist specific, endogenous PPARα agonists that promote SCD1 expression25. Moreover, it is unknown whether microbiota-derived metabolites can regulate fatty acid desaturation at the transcriptional level, despite strong evidence for key roles of microbiota in host fat metabolism, including fat storage and insulin sensitivity3–5,26–29.
In C. elegans, a tractable model system for lipid metabolism30 and host-microbe interactions31, there are three SCD1 homologs32, including fat-7, which governs the relative abundances of saturated and unsaturated fatty acids33,34. fat-7 expression is primarily regulated via the NR, NHR-4935, a homolog of human hepatocyte nuclear factor-4α (HNF4α)36; however, NHR-49 functionally mimics PPARα, based on similar roles during starvation37 and the finding that PPARα-targeting fibrates extend C. elegans lifespan in an NHR-49-dependent manner38. Here we leverage the tractability of C. elegans and its dietary bacteria to uncover an ancestral biochemical network that integrates elements of microbial and host metabolism to regulate lipid desaturation via NHR-49/PPARα and FAT-7/SCD1.
Results
A cyclopropyl fatty acid promotes desaturation
In C. elegans, the Δ9 desaturases FAT-6 and FAT-7 function as gatekeepers of polyunsaturated fatty acid (PUFA) biosynthesis and convert stearoyl-CoA into oleoyl-CoA (Fig. 1A)35,39. Fatty acid desaturation via FAT-7, but not FAT-6, is important for maintaining membrane fluidity during thermal stress. fat-7 expression is strongly induced by as little as 3 h cold exposure40 and conversely suppressed during heat exposure34. Previous work demonstrated that the acyl-CoA dehydrogenase, ACDH-11, plays a central role in heat adaptation by attenuating NHR-49-dependent expression of fat-734. acdh-11(n5878) loss-of-function mutants exhibit constitutively high fat-7 expression, which results in excessive membrane fluidity at elevated temperature (25 °C) causing embryonic lethality and developmental arrest34. To explain the heat-sensitive phenotype, it was proposed that ACDH-11 would sequester C10-C12-straight-chain fatty acids that activate NHR-49, thereby downregulating expression of fat-7 (Fig. 1B)34.
However, phylogenetic analysis indicated that acdh-11 is distinct from other C. elegans acyl-CoA dehydrogenases participating in fatty acid β-oxidation (Fig. 1C), which led us to hypothesize that acdh-11 may instead be involved in metabolism of a structurally distinct substrate that acts as an NHR-49 agonist. To test this idea, we performed comparative metabolomics of acdh-11 mutants and WT animals, which revealed accumulation of a large number of previously uncharacterized metabolites in the acdh-11 mutant (Fig. 1D). To clarify what structural features characterize these acdh-11-enriched metabolites, we isolated one of the most abundant compounds via chromatographic fractionation. NMR spectroscopic analysis of the isolated sample revealed a hydroxylated 11-carbon β-cyclopropyl fatty acid (becyp#2, Fig. 1D). Further analysis of molecular formulae and MS2 spectra of the acdh-11-enriched metabolites suggested that most of the acdh-11-enriched metabolites could plausibly be derived from a corresponding 11-carbon parent β-cyclopropyl fatty acid (βCPFA), named becyp#1 (Fig. 1E). We then confirmed the structure of becyp#1 via chemical synthesis and found that this compound is dramatically enriched in acdh-11 mutants (Fig. 1E). In fact, comparison of free fatty acid profiles revealed that becyp#1 was the most significantly enriched fatty acid in acdh-11 mutants relative to WT animals (Supplementary Fig. 1).
becyp#1 is an unusual 11-carbon fatty acid, distinguished from straight-chain fatty acids by a β-cyclopropyl moiety (Fig. 1E), suggesting that its accumulation in acdh-11 mutants may underlie the dramatically increased fat-7 expression in this mutant. To test this, we supplemented synthetic samples of becyp#1 and straight-chain undecanoic acid to a transgenic reporter strain that expresses a FAT-7::green fluorescent protein (GFP) fusion driven by the fat-7 promoter (Pfat-7::fat-7::GFP). Supplementation with becyp#1 strongly induced FAT-7::GFP, whereas induction by straight chain undecanoic acid was weak at the tested concentrations (Fig. 1F). Next, we asked whether FAT-7::GFP induction by becyp#1 requires NHR-49 by using RNAi. Whereas FAT-7::GFP was strongly induced in becyp#1-treated animals reared on E. coli HT115 expressing empty vector (L4440), animals reared on HT115 expressing nhr-49 RNAi did not show any detectable FAT-7::GFP (Fig. 1G). Taken together, our comparative metabolomic analysis revealed a C11-β-cyclopropyl NHR-49 agonist, becyp#1, that accumulates in acdh-11 animals and thus may explain the constitutively high fat-7 expression in this mutant.
Bacterial cyclopropyl lipids are the source of becyp#1
Next we investigated the biosynthetic origin of becyp#1. The lipidome of C. elegans fed E. coli, the most common food source used in the laboratory, contains large amounts of ω−7 C17 and C19 cyclopropyl lipids, which are derived from bacterial phospholipid membranes41,42. We hypothesized that following dietary uptake by C. elegans, four rounds of β-oxidation of one of the most abundant bacterial cyclopropane fatty acids, lactobacillic acid (LBA), would produce becyp#1-CoA (Fig. 2A)42,43. Due to the presence of the β-cyclopropyl group, becyp#1-CoA would be unsuitable for further processing by canonical β-oxidation enzymes44, and thus may require a specialized acyl-CoA dehydrogenase such as ACDH-11, explaining accumulation of becyp#1 in acdh-11 mutants.
To corroborate that becyp#1 and other βCPFAs enriched in acdh-11 are in fact derived from bacterial cyclopropyl lipids, we performed additional comparative metabolomics of WT C. elegans and acdh-11 mutants reared on E. coli BW25113 (WT) or mutant E. coli JW1653-1 (Δcfa), a cyclopropane synthase (CFA) knockout strain from the Keio collection that does not produce cyclopropyl lipids (Fig. 2B)45. Comparative analysis of C. elegans fed WT E. coli or Δcfa E. coli revealed dramatic differences. These included several families of metabolites derived from incorporation of bacterial cyclopropane fatty acids into host-dependent lipids, for example series of lysophosphatidylcholines46 and N-acyl glycoglycerophosphoethanolamines47, which were abundant in C. elegans fed WT E. coli but abolished in animals fed Δcfa E. coli (Supplementary Fig. 2). Significantly, almost all of the metabolites enriched in acdh-11 mutants grown on WT bacteria, including becyp#1 (Fig. 2C) and other metabolites we had previously shown to be derived from cyclopropyl lipids47, were absent from the metabolomes of WT C. elegans and acdh-11 animals reared on Δcfa E. coli (Supplementary Table 1), confirming that becyp#1 is derived from bacterial cyclopropyl lipids. In addition, our analyses showed that fatty acid profiles of both WT C. elegans and acdh-11 mutants are broadly altered when fed Δcfa E. coli. For example, monounsaturated vaccenic acid and palmitoleic acid and a subset of polyunsaturated fatty acids were increased in both WT animals and acdh-11 mutants reared on Δcfa E. coli (Supplementary Fig. 2G), consistent with a previous report48. Vaccenic and palmitoleic acids are increased in animals reared on Δcfa E. coli likely because these two fatty acids are the substrates for E. coli cyclopropane synthase42 and thus accumulate in the absence of the CFA enzyme.
Next, we investigated the role of bacterial cyclopropyl fatty acid production for acdh-11-dependent phenotypes. Consistent with previous studies34, strong FAT-7::GFP expression was observed at all life stages in acdh-11 mutants reared on WT E. coli diets, including in unhatched eggs (Fig. 2D, Supplementary Fig. 3). However, FAT-7::GFP expression was sharply reduced in acdh-11 animals reared on Δcfa E. coli as compared to animals reared on WT E. coli (Fig. 2D). Supplementation of acdh-11 animals reared on Δcfa E. coli with the bacterial cyclopropane fatty acid, LBA, resulted in dose-dependent recovery of FAT-7::GFP expression (Fig. 2D), along with concomitant recovery of βCPFA production (Supplementary Fig. 4). To a lesser extent, LBA supplementation also induced FAT-7::GFP in WT animals (Fig. 2D). In contrast, supplementation with vaccenic acid, the monounsaturated precursor of LBA we used as a control, had no effect on FAT-7::GFP expression in acdh-11 mutants or WT animals, even at much higher concentrations (Fig. 2D). Interestingly, FAT-7::GFP expression in WT animals is most intense in the proximal and distal ends of the intestines, whereas FAT-7::GFP is uniformly strong throughout the intestinal tract of acdh-11 mutants, possibly due to intestinal build-up of becyp#1 (Fig. 2D).
Given the dramatic reduction in FAT-7::GFP expression in acdh-11 mutants fed Δcfa E. coli, we next investigated the effect of bacterial cyclopropyl lipid production on viability of acdh-11 mutants at elevated temperatures. As previously reported, loss of acdh-11 function results in fat-7-dependent embryonic lethality and developmental arrest at 25 °C34. Strikingly, embryonic lethality at 25 °C was abolished when rearing acdh-11 mutant animals on cyclopropyl fatty acid-deficient Δcfa E. coli (Fig. 2E). In addition, acdh-11 mutants hatched and developed normally at 25 °C when fed cyclopropyl-containing HT115 expressing nhr-49 RNAi, demonstrating that βCPFAs are not inherently toxic (Fig. 2F). Collectively, these results establish that the acdh-11 heat-sensitive phenotype is the result of NHR-49-dependent hyperactivation of fat-7 expression by becyp#1, which is derived from bacterial cyclopropyl lipids and accumulates in acdh-11 mutants (Fig. 2G).
An endogenous activator of fat-7 expression
While the identification of becyp#1 explains fat-7 hyperactivation in acdh-11 mutants under laboratory conditions, it seemed unlikely that control of fat-7 expression via nhr-49 would rely entirely on one specific type of bacterial lipid. Desaturase expression is controlled by a regulatory network that integrates nutrient availability, pathogen responses, and reproductive signals49–52. This suggested the existence of additional small molecule agonists of NHR-49, possibly a metabolite that is structurally related to becyp#1. Surveying existing data for the C. elegans metabolome, we noted that mutants defective in hacl-1 (2-hydroxy-acyl-CoA lyase 1), a key component of conserved peroxisomal fatty acid α-oxidation, accumulate large quantities of 11-carbon β-methyl fatty acids (βMFAs), e.g., bemeth#347, whose structures are reminiscent of the 11-carbon βCPFAs we identified as shunt metabolites in acdh-11 mutants (Fig. 3A).
The most abundant βMFAs identified from hacl-1 mutants are α-hydroxylated, suggesting that they represent shunt metabolites derived from incomplete α-oxidation of a β-methyldecenoic acid precursor via hydroxylation by the phytanoyl-CoA dioxygenase homologs ZK550.5 and/or ZK550.6 (Fig. 3A). Inspection of the free fatty acid profile of wildtype animals in fact revealed the presence of β-methyldecenoic acid (bemeth#1), as confirmed using a synthetic standard (Fig. 3B). Considering the striking structural similarity of bemeth#1 with the bacterial-derived becyp#1, we hypothesized that bemeth#1 may represent an endogenous regulator of nhr-49-dependent fat-7 expression. Like becyp#1, bemeth#1 is an 11-carbon fatty acid featuring an unusual β-branched carbon skeleton, distinguished by a β-methyl group instead of the β-cyclopropyl ring as in becyp#1. Therefore, we tested synthetic bemeth#1 and becyp#1 in parallel for activation of FAT-7::GFP expression. We found that, similar to becyp#1, supplementation with synthetic bemeth#1 strongly induced FAT-7::GFP (Fig. 3C). Supplementation with the α-hydroxylated derivative, bemeth#2, did not induce FAT-7::GFP, nor was expression of FAT-7::GFP increased in hacl-1(tm6725) mutants in which α-hydroxylated βMFAs accumulate (Supplementary Fig. 5)47.
Because metabolite-receptor interactions are often highly stereospecific53,54, we developed a synthesis employing Sharpless chiral resolution and subsequent chirality transfer via Claisen rearrangement to access the two enantiomers of bemeth#1, (3 R)-bemeth#1 and (3 S)-bemeth#1 (Fig. 3D, see “Supplementary Methods” for details)55. We next determined the absolute configuration of natural bemeth#1 and bemeth#2 using a chiral oxidation and derivatization approach, which revealed (3 R)-bemeth#1 and (2 R,3 S)-bemeth#2 as the predominant natural isomers (Fig. 3D, see “Supplementary Methods” for details). The (2 R,3 S)-configuration of bemeth#2, indicative of syn-hydroxylation, is consistent with the predicted specificity of the C. elegans α-oxidation enzymes ZK550.5 and ZK550.6, based on their homology to human PHYH56.
Testing synthetic samples of the two enantiomers of bemeth#1, we found that low micromolar concentrations of (3 R)-bemeth#1 strongly induced FAT-7::GFP, whereas treatment with (3 S)-bemeth#1 resulted in significantly lower induction (Fig. 3E, F). The residual activity of the (3 S)-bemeth#1 sample used in this study may be attributable to contamination with about 15% of the other enantiomer, resulting from the limited selectivity of available synthetic routes for chiral methyl-branched fatty acids57. We also tested for effects of bemeth#1 supplementation on expression of fat-6, a desaturase that is functionally redundant with FAT-7 but regulated by different mechanisms35. Examination of a FAT-6::GFP transgenic reporter strain showed that expression is unaffected by bemeth#1 (Supplementary Fig. 6). Finally, we used RT-PCR to measure fat-6 and fat-7 expression of non-transgenic WT animals supplemented with bemeth#1 and observed a greater than tenfold increase in fat-7 expression, whereas expression of fat-6 was unchanged, consistent with the results for the transgenic reporters (Fig. 3G). Taken together, these results demonstrate that, like becyp#1, bemeth#1 regulates fat-7 expression.
A methyltransferase conserved across Nematoda
β-branched fatty acids are highly unusual because they cannot be obtained via canonical fatty acid biosynthesis from acetate or propionate, nor from leucine-derived monomethyl branched chain fatty acids which contain a methyl branch at the terminal carbon (Fig. 4A)39,58,59. We therefore hypothesized that the unusual β-methyl group is installed by an S-adenosyl methionine (SAM)-dependent methyltransferase. To test this, we used a stable isotope labeling approach in which hacl-1 larvae were supplemented with D3-methyl methionine (D3-Met) in the absence of bacteria. Analysis of D3-Met-supplemented hacl-1 larvae by HPLC-HRMS revealed incorporation of three deuterium atoms in all annotated βMFAs, including the putative parent compound bemeth#1 and the α-hydroxylated derivatives bemeth#2 and bemeth#3 (Fig. 4B, Supplementary Fig. 7). These results support the idea that βMFA biosynthesis is not dependent on bacteria, but rather requires an endogenous SAM-dependent methyltransferase.
In C. elegans, as in humans, the overwhelming majority of SAM-dependent methyltransferases catalyze methylation of nitrogen or oxygen, e.g., N-methylation of nucleosides or amino acids60. Of the 121 annotated SAM-dependent methyltransferases in C. elegans, there are only seven enzymes that are predicted to methylate carbon (C-methylation): these include sterol methyltransferase (strm-1)61, ubiquinone C-methyltransferase (coq-5)62, and four annotated cytosine C5-methyltransferases63. The one remaining predicted C-methyltransferase, F13D12.9, is highly conserved across Nematoda and exhibits notable similarity to bacterial cyclopropane synthases. Phylogenetic analysis revealed that the closest homologs of F13D12.9 are found in nematodes and bacteria, not in other animals, consistent with ancient, horizontal gene transfer (HGT) (Fig. 4C)64. Correspondingly, F13D12.9 is annotated as a mycolic acid cyclopropane synthase; however, we and others have shown that C. elegans does not synthesize cyclopropane lipids, suggesting that F13D12.9 could instead be involved in βMFA biosynthesis41,43,47.
To test the role of F13D12.9 in the biosynthesis of βMFAs, we obtained two predicted loss-of-function alleles; F13D12.9(gk155709) containing an early stop codon (K127*), and F13D12.9(tm2382) with a deletion spanning exons 2-4 (Fig. 4D). Comparative metabolomic analysis of wildtype and the two F13D12.9 mutants revealed that F13D12.9 is strictly required for production of bemeth#1 and other detected βMFA-derived metabolites (Fig. 4E, summarized in Supplementary Table 2). We therefore named F13D12.9 as Fatty acid C-Methyl Transferase (fcmt-1). Consistent with conservation of fcmt-1 in other nematodes, βMFAs were also detected in the closely related C. briggsae (Supplementary Fig. 8)65.
NHR-49 agonists integrate bacterial and endogenous metabolism
Our metabolomic analyses revealed two remarkably similar NHR-49 agonists, becyp#1 and bemeth#1, that are derived from parallel biosynthetic pathways involving homologous bacterial and endogenous enzymes, cyclopropane fatty acid synthase (CFA) in E. coli and FCMT-1 in C. elegans, which likely originated from bacterial CFA via HGT (Fig. 4C). In E. coli, CFA acts upon phospholipids containing singly unsaturated cis-16:1 (palmitoleic) or cis-18:1 (vaccenic) ω-7 fatty acids (Fig. 2A)41,42. CFA homologs in other bacterial species produce diverse cyclopropyl and methyl-branched lipids, e.g., the mycolic acids of Mycobacterium tuberculosis66.
To clarify the parallel roles of bacterial CFA and endogenous FCMT-1 for the synthesis of becyp#1 and bemeth#1, respectively, we considered possible substrates for FCMT-1. Based on its homology to bacterial CFAs, we hypothesized that FCMT-1 should catalyze methyl transfer to an ω-7 cis-double bond, as in cis-VA, which is abundant in E. coli67. Intriguingly, the Rhodobacter sphaeroides CFA homolog, UfaM (FCMT-1 BLAST E-value 5e-72), catalyzes methyl transfer to VA with concomitant double bond migration, resulting in an 11-methyl-12-trans 18:1 fatty acid, a plausible precursor of bemeth#1 (Fig. 5A)68. Therefore, we performed stable isotope feeding experiments using D13-cis-VA (Fig. 5B). As an additional control, we fed D13-trans-VA, reasoning that, based on homology, the trans double bond may not function as a methyl acceptor. Analysis of D13-cis- and D13-trans-VA-supplemented animals by HPLC-HRMS showed that all fcmt-1-dependent metabolites incorporate deuterium label from D13-cis- but not D13-trans-VA (Fig. 5C). These results indicate that FCMT-1 acts on cis-double bonds of monounsaturated fatty acids, in close analogy to bacterial enzymes such as UfaM. Moreover, partial loss of the deuterium label at specific positions in the fcmt-1-dependent metabolites from D13-cis-VA-supplemented animals, e.g., at position 5 in bemeth#1 (Fig. 5B, arrow), provided additional corroboration of the proposed biosynthetic pathway (Supplementary Fig. 9). Taken together, our results indicate that the two NHR-49 agonists, becyp#1 and bemeth#1, are produced via parallel pathways from ω-7 fatty acids common in E. coli. The βMFA bemeth#1 is produced via a fully endogenous pathway, in which VA is likely C-methylated by FCMT-1 and chain-shortened via canonical β-oxidation, whereas becyp#1 is derived from conversion of VA to LBA by bacterial CFA, followed again by endogenous β-oxidation.
Given their structural similarity, we asked whether there are any overt differences in the activation of fat-7 expression by bemeth#1 and becyp#1. NHR-13, NHR-80 and NHR-66 have been characterized as direct NHR-49-interactors69, whereby NHR-13 and NHR-80 affect expression of desaturase genes, including fat-7, whereas NHR-66 cooperates with NHR-49 to repress genes related to sphingolipid and phospholipid metabolism69,70. Induction of FAT-7::GFP expression by both bemeth#1 and becyp#1 was reduced, but not abolished, in animals reared on nhr-80 or nhr-13 RNAi (Fig. 5D). In animals reared on nhr-80 RNAi, FAT-7::GFP was expressed weakly in the first intestinal cell and additionally around the pharynx, as well as in the extreme posterior cells (Fig. 5D). A subset of animals reared on nhr-13 RNAi exhibited mosaic FAT-7::GFP in response to supplemented bemeth#1 or becyp#1, in which expression was restricted to the tail and posterior intestinal cells (Fig. 5D). Animals reared on RNAi against nhr-66 did not exhibit altered FAT-7::GFP expression in response to supplemented fatty acids, nor did animals fed hlh-30 RNAi, which cooperates with nhr-49 in starvation responses (Supplementary Fig. 10)69,71. Thus, supplementation with either bemeth#1 or becyp#1 increased fat-7 expression in a manner that was strictly dependent on NHR-49 and partially dependent on NHR-13 and NHR-80, consistent with a model in which bemeth#1 and becyp#1 modulate fat metabolism via tissue-specific heterodimers of NHR-49 with NHR-13 and NHR-8069.
Discussion
In this work, we identified parallel biosynthetic pathways that control fatty acid desaturation via NHR-49/PPARα, (i) a pathway dependent on microbiota-derived cyclopropane lipids, which are converted endogenously into the β-cyclopropane 11-carbon fatty acid, becyp#1, and (ii) a fully endogenous pathway that requires the HGT-derived methyltransferase FCMT-1 for biosynthesis of the β-methyl-branched 11-carbon fatty acid, bemeth#1 (Fig. 5E). Both becyp#1 and bemeth#1 strongly promote expression of the desaturase FAT-7 in a manner that requires NHR-49 and is partially dependent on NHR-13 and NHR-80. Despite their structural similarity, becyp#1 degradation proceeds via a dedicated β-oxidation enzyme, ACDH-11, whereas bemeth#1 is degraded via α-oxidation, analogous to human metabolism of β-methyl fatty acids, e.g., dairy-derived phytanic acid47,72. Their distinct degradation pathways suggest that fat-7 activation by microbiota-dependent becyp#1 and endogenous bemeth#1 is regulated via separate mechanisms, which may be required to accommodate fluctuating nutritional and environmental conditions.
Microbiota-derived metabolites are deeply embedded in the fabric of metazoan physiology1. Examples include the microbial metabolism of bile acids73,74, which function in nutrient absorption and as endogenous agonists of farnesoid-X receptor (FXR)75,76, as well as propionate and butyrate77, simple short-chain fatty acids that play key roles in the maintenance of intestinal immune homeostasis78. The example of becyp#1 demonstrates that microbiota-specific lipids, i.e., cyclopropane fatty acids, can also function as precursors for potent signaling molecules. Metagenomic analyses of the human microbiome indicate that the most abundant phyla of human-associated bacteria harbor genes encoding cyclopropane synthase79, although the extent to which microbes produce cyclopropane lipids in the gut has not been investigated. That cyclopropane lipids may act as specific signaling molecules in humans is suggested by in vitro assays in which cyclopropane fatty acids, but not simple saturated fatty acids, activated the G-protein coupled receptors brain angiogenesis factor 1 (BAI1)80 and G-protein coupled receptor 84 (GPR84)81. Immune responses elicited by specific methyl-branched phospholipids produced by the gut bacteria Akkermansia muciniphila provide another example demonstrating that small structural differences of fatty acids can dramatically affect biological responses82.
In addition to the gut microbiome, cyclopropyl lipids are present in human diets, and have recently become more abundant in meat and dairy products as a result of the widespread introduction of fermented grains (silage) as animal feed during the 20th century83. The grain ensiling process involves bacterial fermentation84, and the bacteria-derived cyclopropyl lipids are then passed up the food chain to humans. While little is known about the metabolic fate of cyclopropyl lipids in humans, cyclopropyl fatty acids are robustly detected in human serum, and may interact directly with the human NR, HNF4α, a master regulator of mammalian liver metabolism and homolog of NHR-13, -49, and -8085,86. Early biochemical studies showed that cyclopropyl lipids are highly persistent in rats, accumulating as shorter-chain derivatives in adipose tissue87,88, and elevated levels of circulating cyclopropane fatty acids have been associated with inflammatory disease89. Taken together, these preliminary observations and our finding that cyclopropane fatty acids function as potent signaling molecules in C. elegans may motivate further studies of the physiological roles of cyclopropyl lipids in humans90.
In contrast to mammals, C. elegans appears able to degrade cyclopropyl lipids via ACDH-11, a specialized β-oxidation enzyme that is not conserved in humans. Expression of acdh-11 prevents hyper-activation of NHR-49 due to accumulation of becyp#1, possibly representing a dietary adaptation since the genomes of many naturally C. elegans-associated bacteria include predicted cyclopropane synthases91. Consistent with a direct functional role in homeoviscous adaptation, acdh-11 is heat-inducible40, resulting in increased becyp#1 degradation at elevated temperature, which reduces NHR-49- and FAT-7-dependent fatty acid desaturation, thereby reducing membrane fluidity and thus promoting heat adaptation. Because cyclopropane biosynthesis varies between different bacteria and can be stress- or growth phase-dependent92–94, the extent to which cyclopropyl lipids impact C. elegans physiology may vary considerably in different natural and laboratory environments. Correspondingly, rearing acdh-11 mutants on E. coli lacking the cyclopropane synthase gene (Δcfa) fully rescues their heat-sensitive phenotype. acdh-11 homologs are highly conserved in many other bacterivorous and also parasitic nematodes (Fig. 1C), suggesting that the role of acdh-11 homologs in the sequestration of β-cyclopropyl fatty acids may also be conserved.
Conservation of the methyltransferase fcmt-1 across Nematoda is consistent with an ancient HGT event that conferred to nematodes the endogenous capacity to produce otherwise inaccessible β-methyl-branched fatty acids. We showed that production of 11-carbon β-methyl fatty acids is conserved in C. briggsae, suggesting that β-methyl fatty acids function as NHR-49/PPARα agonists also in other nematode species. We infer that there is considerable flux through the bemeth#1 pathway based on the dramatic accumulation of oxidized βMFAs in starved hacl-1(tm6725) larvae47. Life stage- and sex-specific functions of FCMT-1 are further suggested by the recent observations that production of specific bemeth#-family metabolites is greatly increased during the transition from late larval (L4) stage to reproductive adult47, and is increased further in adult males95, consistent with publicly available transcriptomic data suggesting that fcmt-1 is expressed in the male germline96,97. Further investigation into the life stage- and tissue-specific regulation of NHR-49 by β-branched fatty acids may reveal additional evolutionary insight into the acquisition of a bacterial methyltransferase by an ancient metazoan.
Collectively, our results showcase a central role for microbiota in the regulation of metazoan fatty acid metabolism by demonstrating that a microbiota-derived cyclopropyl fatty acid can activate NR-dependent desaturase expression. Further, our findings suggest an ancient origin for microbial regulation of nematode fat metabolism, given that C. elegans has acquired the capability to produce a signaling molecule, via HGT from bacteria, that mimics the bacteria-dependent becyp#198. Lastly, the biogenesis of becyp#1 highlights the significance of microbiota-dependent small molecule signals that arise from shared biochemical networks involving both metazoan and bacterial metabolism99,100, a challenge that we here show can be addressed by whole organism comparative metabolomics.
Methods
Nematode strains
Unless otherwise indicated, worms were maintained on Nematode Growth Medium (NGM) 6 cm diameter petri dish plates seeded with E. coli OP50 obtained from the Caenorhabditis Genetics Center (CGC), except for the acdh-11(n5878) mutant, which was maintained on cyclopropane-deficient JW1653-1. For imaging experiments, worms were grown on 3.5 cm diameter petri dish plates seeded with E. coli OP50, HB101, BW25113, JW1653-1, or HT115 for RNAi, as indicated. The following Nematode strains were used for comparative metabolomics: C. elegans Bristol N2 (“wildtype”), C. elegans FCS7 hacl-1(tm6725) II, C. elegans FCS40 fcmt-1(gk155709) II, C. elegans FCS20 fcmt-1(tm2382) II, C. elegans DMS303 nIs590[Pfat-7::fat-7::GFP] V (“wildtype”), C. elegans DMS441 acdh-11(n5878) III; nIs590 V, C. elegans FCS66 hacl-1(tm6725) II; nIs590 V, C. elegans BX115 lin-15B&lin-15A(n765) X; waEx16[Pfat-6::fat-6::GFP + lin15(+)], and C. Briggsae AF16 (“wildtype”). hacl-1 mutants were backcrossed as previously described47, fcmt-1 mutants were backcrossed with Bristol N2 for a total of six generations, and other strains were analyzed as received from the CGC. The genotypes were confirmed by PCR and Sanger sequencing (Cornell University Institute of Biotechnology). Primers (Integrated DNA Technologies) used for genotyping are listed in Supplementary Table 3.
Of note, several unrelated metabolites were significantly enriched only in the FCS20 fcmt-1(tm2382) strain, but not FCS40 fcmt-1(gk155709) (Supplementary Fig. 10). The tm2382 deletion affects a genomic interval encoding genes on both strands of DNA and deletes intronic sequence of VF13D12L.3, which encodes an enzyme annotated as a malate/lactate oxidoreductase. To avoid potentially confounding effects resulting from presumed disruption of VF13D12L.3, subsequent experiments were conducted using the fcmt-1(gk155709) mutant.
Metabolite nomenclature
All newly detected metabolites for which a structure could be proposed were named using Small Molecule Identifiers (SMIDs), a search-compatible nomenclature for metabolites identified from C. elegans and other nematodes. The SMID database (www.smid-db.org) is an electronic resource maintained in collaboration with WormBase (www.wormbase.org); a complete list of SMIDs can be found at www.smid-db.org/browse.
C. elegans liquid cultures
Alkaline bleach treatment of mixed-stage animals yielded a sterile egg suspension, which was rocked overnight in 3–5 mL M9 solution to yield synchronized, starved L1 larvae101. For the analysis of staged adults, cultures ranging from 25,000-75,000 synchronized L1 larvae obtained from alkaline bleach treatment were added to 50- or 125 mL Erlenmeyer flasks containing S-complete medium such that the density of worms was maintained at approximately 3000 nematodes / mL, and kanamycin added at 35 μg/mL to prevent contamination. Worms were fed with 50x concentrated E. coli and incubated at 20 °C with shaking at 180 RPM for 64–70 h, unless otherwise indicated. Control samples to account for bacterial matrix were prepared with the same amount of E. coli under identical conditions. For the analysis of mixed-stage cultures, a well-populated 6 cm NGM plate was washed with M9 solution, and the recovered animals seeded to liquid cultures and incubated with shaking for 2–7 days, as described above. Cultures were fed with additional bacteria as needed, determined by cloudiness of cultures. Liquid cultures were transferred to 15- or 50 mL conical tubes and centrifuged (200 × g, 22 °C, 30 s), and the supernatant (exo-metabolome) was transferred to a fresh conical tube and snap frozen. Remaining worm pellet (endo-metabolome) was transferred to a 15 mL conical tube and washed with 10 mL M9 solution, centrifuged (200 × g, 22 °C, 30 s), supernatant removed, and worm pellet washed twice more with M9 solution before snap freezing in liquid nitrogen.
Stable isotope labeling experiments
Alkaline bleach treatment of a mixed-stage hacl-1(tm6725) culture yielded a sterile egg suspension that was evenly divided into three 50 mL Erlenmeyer flasks containing 10 mL M9 solution. Worm suspensions were supplemented with water (vehicle control), methionine (Sigma M-9625), or isotopically labeled D3-methyl-methionine (Cambridge Isotope Laboratories DLM-431-1) at a final concentration of 5 mM. Cultures were incubated at 20 °C with shaking at 180 RPM for approximately 24 h. Exo- and endo-metabolome samples were harvested separately, as described above. Two independent labeling experiments in hacl-1(tm6725) were performed, one in larvae as described and one in mixed-stage cultures, described below.
Mixed-stage cultures of N2 and hacl-1(tm6725) were collected, washed in M9 solution, and evenly divided to five or seven 50 mL Erlenmeyer flasks containing 10 mL S-Complete medium and kanamycin at 35 μg/mL. Worms were fed with 50x concentrated E. coli and supplemented with ethanol (vehicle control), cis-vaccenic acid (Cayman Chemical 20023), D13-cis-vaccenic acid (Cayman Chemical 27716), trans-vaccenic acid (Cayman Chemical 15301), or D13-trans-vaccenic acid (Cayman Chemical 27717) at a final concentration of 100 μM (first replicate) or 75 μM (second replicate); hacl-1(tm6725) was additionally supplemented with methionine or D3-methyl-methionine at a final concentration of 5 mM. Cultures were incubated at 20 °C with shaking at 180 RPM for 3-4 days. Exo- and endo-metabolome samples were harvested separately, as described above. One labeling experiment was performed in N2 (WT), and two independent labeling experiments were performed in hacl-1(tm6725) mutant.
Evolutionary analysis of ACDH-11 and FCMT-1 homologs
PSI-BLAST searches on the NCBI-nr database using the C. elegans ACDH-11 sequence (NP_001033378.1) as query were run on July 23, 2023. The first search was not restricted to any taxonomy and returned hits predominantly from clade V (Rhabditina), from which the satellite model organisms Caenorhabditis briggsae and Pristionchus pacificus were selected for alignment on the basis of high-quality genomic data, as well as two representative hits from the Strongylida suborder (Ancylostoma ceylanicum and Haemonchus contortus). An additional PSI-BLAST was conducted using the C. elegans ACDH-11 sequence as query and excluding the subclass Rhabditina (taxid:2301116), which returned hits belonging to clade IV (Tylenchina) nematodes from the Strongyloididae and Steinernematidae families, which are represented by ACDH-11 sequences from Strongyloides ratti and Steinernema carpocapsae, respectively102. To compare against other ACDH enzymes in C. elegans, a second PSI-blast search was performed using the C. elegans ACDH-11 sequence as query restricted to C. elegans (taxid: 6239), and all hits above the minimum threshold were downloaded. A MUSCLE alignment of ACDH-11 and the 19 selected sequences was performed in MEGA 11 software using default settings103. The evolutionary history was inferred by using the Maximum Likelihood method and LG + G model with 200 bootstrap iterations in MEGA 11 software104. The tree with the highest log likelihood (-19853.00) is shown. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the JTT model, and then selecting the topology with superior log likelihood value. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories, +G parameter = 1.8549). The tree is drawn to scale, with branch lengths measured in the number of substitutions per site.
Blastp searches on the NCBI-nr database using the C. elegans FCMT-1 sequence (NP_001380126.2) as query were run on August 7, 2022. The first search was not restricted to any taxonomy. Sequences of the top 50 blast hits from this search were downloaded and included 37 nematode and 13 bacterial sequences. To compare homologs in other animals, we performed a second blastp search restricted to Animalia (taxid: 33208) but excluding Nematoda (taxid: 6231). The top 10 sequences from this search were also downloaded. A MUSCLE alignment of FCMT-1 and the 60 sequences from both searches was performed in MEGA 11 software using default settings103. The evolutionary history was inferred by using the Maximum Likelihood method and JTT matrix-based model with 200 bootstrap iterations in MEGA 11 software105. The tree with the highest log likelihood (-46241.85) is shown. Initial tree(s) generation and branch lengths as described above.
FAT-7::GFP microscopy
Commercially available and synthetic compounds were prepared as stock solutions at 10 mg/mL in ethanol or DMSO, as indicated. Stock solutions were diluted into 40 μL of a 50:50 mixture of solvent: water or 40 μL of solvent only, as indicated, then applied topically to NGM 3.5 cm diameter petri dish plates (4 mL NGM agar volume) seeded with E. coli and allowed to dry with the lid off for 15 min in a laminar flow cabinet. The lids were replaced, and the plates were shifted to an incubator at the experimental temperature and stored for 1–2 h before plating synchronized, starved L1 larvae obtained from alkaline bleach treatment of a 6 cm NGM maintenance plate. Alternatively, young adult animals were placed on treatment plates and allowed to lay eggs for 4–6 h, the adults removed, and the resulting progeny analyzed.
Gravid adult animals were removed from treatment plates by washing with M9 buffer and collecting in 1.5 mL Eppendorf tubes. Samples were centrifuged (100 × g, 22 °C, 30 s) using an Eppendorf benchtop centrifuge. The supernatant was aspirated, and animals were washed with 1 mL of M9 buffer, centrifuged, and the supernatant aspirated to leave approximately 0.1 mL remaining. An equal volume (~0.1 mL) of 20 mM sodium azide in M9 was added to the tubes to anaesthetize live animals. A ~5–10 μL aliquot of the paralyzed worms was then dropped onto an unseeded NGM plate, and the liquid was allowed to fully absorb into the agar. Worms were imaged directly on NGM plates using a Leica M205FA stereomicroscope outfitted with a DFC7000T camera and controlled by Leica Application Suite X software (v3.6.0.20104 Leica Microsystems). Transmitted light brightfield images were acquired with no filter; incident light was generated by a Lumencor Sola Light Engine (SM5-LCR-VA Lumencor, Inc.) and GFP fluorescence was acquired with an ET GFP bandpass filter, excitation 450–490 nm, emission 500–550 nm (Leica Microsystems part no. 10447408). Typical microscope settings were as follows: magnification 75x; transmitted light: exposure 20 ms, gain 1, intensity 55%, aperture 60%, auto balance off; incident light: exposure 400 ms, gain 3, intensity 100%, aperture N/A. The magnification and exposure settings were consistent within each experiment and any quantification was performed relative to a control performed in parallel. Quantification was performed using ImageJ software (v1.54c). In brief, individual animals were outlined using the freehand selection tool in the brightfield micrographs, and then these outlines were transferred to the GFP micrographs using the restore selection command. The intensity of the outlined area was analyzed using the measure command. Background intensity was calculated by averaging the minimum intensity of all outlined areas in a given experiment; this value was subtracted from the mean intensity for each individual measurement. Intensities were normalized to the average of the untreated control in each independent experiment.
Gene expression analysis
Stock solutions were diluted as described above and treatment plates were prepared by applying 80 μL of a 50:50 mixture of DMSO: water (vehicle) or the same mixture containing (R)-bemeth#1 such that the final concentration on the plates was 0.05 mM. Solutions were applied topically to NGM 6 cm petri dish plates (8 mL NGM agar volume) seeded with E. coli JW1653-1 and allowed to dry and equilibrate, as described above. Alkaline bleach treatment of mixed-stage animals yielded a sterile egg suspension. Following counting and concentration, 2000 eggs were applied directly to each of four plates per condition per experiment. Eggs were incubated on plates at 20 °C for 70–74 h, at which point gravid adult animals were removed by washing with M9 buffer and collecting in 1.5 mL Eppendorf tubes. Samples were centrifuged (100 × g, 22 °C, 30 s) using an Eppendorf benchtop centrifuge and washed twice, as described above, before snap freezing in liquid nitrogen and storage at −80 °C. Total RNA was extracted and purified using Trizol reagent and RNA Clean & Concentrator-5 kit (Zymo Research cat. no. R1013) according to the manufacturer’s protocol. Following quantification, 2 μg of RNA per sample were used to synthesize cDNA using the SuperScript III First-Strand kit (Invitrogen cat. no. 12574026). RT-PCR was performed using SYBR green dye (Thermo Fisher Scientific cat. no. 4367659) and a Bio-Rad C1000TM Thermal Cycler. Relative gene expression levels were calculated using the ΔΔCt method with act-1 as the reference gene106. Four independent biological experiments were performed and analyzed as three technical replicates per gene per experiment in 10 μL reaction volumes. Technical replicates were averaged prior to calculating ΔΔCt values, which were normalized against the average of all mock (control) samples. Primers (Integrated DNA Technologies) used for RT-PCR are listed in Supplementary Table 4.
Cyclopropyl fatty acid supplement
Mixed-stage cultures of Pfat-7::fat-7::GFP (WT) and acdh-11(n5878);Pfat-7::fat-7::GFP reared on JW1653-1 (Δcfa) E. coli were collected, washed in M9 solution, and evenly divided to four 50 mL Erlenmeyer flasks containing 10 mL S-Complete medium and kanamycin at 35 μg/mL. Worms were fed with 50x concentrated E. coli BW25113 (WT) or (Δcfa) E. coli and supplemented with ethanol (vehicle control), lactobacillic acid (Cayman Chemical 10012556), or dihydrosterculic acid (Cayman Chemical 24824) at a final concentration of 20 μM. Cultures were incubated at 20 °C with shaking at 180 RPM for 3–4 days. Exo- and endo-metabolome samples were harvested separately, as described above.
Sample preparation for HPLC-HRMS
Animal bodies (endo-metabolome) and conditioned medium (exo-metabolome) were frozen and processed separately. For preparation of endo-metabolome extracts, samples were lyophilized for 18–24 h using a VirTis BenchTop 4 K Freeze Dryer. After the addition of 1 mL methanol directly to the conical tube in which animals were frozen, samples were sonicated for 5 min (2 s on/off pulse cycle at 90 A) using a Qsonica Q700 Ultrasonic Processor with a water bath cup horn adaptor (Qsonica 431C2). Following sonication, an additional 4-9 mL of methanol was added, depending on sample size, and the extract rocked overnight at room temperature. The conical tubes were centrifuged (3000 × g, 22 °C, 5 min) and the resulting clarified supernatant transferred to a clean 8- or 20-mL glass vial which was concentrated to dryness in an SC250EXP Speedvac Concentrator coupled to an RVT5105 Refrigerated Vapor Trap (Thermo Scientific). The resulting powder was suspended in 100–250 μL of methanol, depending on sample size, followed by vigorous vortex and brief sonication. This solution was transferred to a clean microfuge tube and subjected to centrifugation (20,000 × g, 22 °C, 5 min) in an Eppendorf 5417 R centrifuge to remove precipitate. The resulting supernatant was transferred to an HPLC vial and analyzed by HPLC–HRMS.
For preparation of exo-metabolome extracts, samples were lyophilized ~48 h using a VirTis BenchTop 4 K Freeze Dryer. Dried material was extracted in 5–15 mL methanol, depending on sample size, and rocked overnight at room temperature. The conical tubes were centrifuged (3000 × g, 22 °C, 5 min) and the resulting clarified supernatant transferred to clean 8- or 20-mL glass vials which were concentrated in vacuo and suspended in methanol as described for endo-metabolome samples.
HPLC-HRMS analysis
Reversed-phase chromatography was performed using a Vanquish HPLC system controlled by Chromeleon Software (ThermoFisher Scientific) and coupled to an Orbitrap Q-Exactive HF mass spectrometer controlled by Xcalibur software (ThermoFisher Scientific), or by a Dionex Ultimate 3000 HPLC system coupled to an Oribtrap Q-Exactive mass spectrometer controlled by the same software. Extracts prepared as described above were separated on a Thermo Scientific Hypersil Gold column (150 mm × 2.1 mm, particle size 1.9 µm, part no. 25002-152130) maintained at 40 °C with a flow rate of 0.5 mL/min. Solvent A: 0.1% formic acid (Fisher Chemical Optima LC/MS grade; A11750) in water (Fisher Chemical Optima LC/MS grade; W6-4); solvent B: 0.1% formic acid in acetonitrile (Fisher Chemical Optima LC/MS grade; A955-4). A/B gradient started at 1% B for 3 min after injection and increased linearly to 98% B at 20 min, followed by 5 min at 98% B, then back to 1% B over 0.1 min and finally held at 1% B for an additional 2.9 min.
Reversed-phase post-column ion-pairing chromatography was performed using the same system as described; extracts were separated on a Thermo Scientific Hypersil Gold column (150 mm × 2.1 mm, particle size 1.9 µm, part no. 25002-152130) or on a Kinetex Evo C18 (150 mm × 2.1 mm, particle size 1.7 µm, part no. 00F-4726-AN) maintained at 40 °C with a flow rate of 0.5 mL/min. Solvent A: 0.1% ammonium acetate in water; solvent B: acetonitrile. A/B gradient started at 5% B for 3 min after injection and increased linearly to 98% B at 20 min, followed by 5 min at 98% B, then back to 5% B over 0.1 min and finally held at 5% B for an additional 2.9 min. A second pump (Dionex 3000) controlling a solution of 800 mM ammonia in methanol was run at a constant flow rate of 0.015 mL/min for the duration of the method and mixed via micro-splitter valve (Idex #P-460S) with the eluate line from the column.
Mass spectrometer parameters: spray voltage, −3.0 kV/+3.5 kV; capillary temperature 380 °C; probe heater temperature 400 °C; sheath, auxiliary, and sweep gas, 60, 20, and 2 AU, respectively; S-Lens RF level, 50; resolution, 60,000 or 120,000 at m/z 200; AGC target, 3E6. Each sample was analyzed in negative (ESI−) and positive (ESI+) electrospray ionization modes with m/z range 117–1000. Parameters for MS/MS (dd-MS2): MS1 resolution, 60,000; AGC Target, 1E6. MS2 resolution, 30,000; AGC Target, 2E5. Maximum injection time, 60 msec; Isolation window, 1.0 m/z; stepped normalized collision energy (NCE) 10, 30; dynamic exclusion, 1.5 sec; top 8 masses selected for MS/MS per scan.
HPLC-HRMS RAW data were converted to mzXML file format using MSConvert (v3.0, ProteoWizard) and were analyzed using Metaboseek software (v0.9.9.0) with the following settings: 5 ppm, 3_20 peakwidth, 3 snthresh, 3_100 prefilter, FALSE fitgauss, 1 integrate, TRUE firstBaselineCheck, 0 noise, wMean mzCenterFun, −0.005 mzdiff. Default settings for XCMS feature grouping: 0.2 minfrac, 2 bw, 0.002 mzwid, 500 max, 1 minsamp, FALSE usegroups. Metaboseek peak filling used the following settings: 3 ppm_m, 3 rtw, TRUE rtrange, FALSE areaMode. Data were normalized to the abundance of ascr#3 in negative ionization mode or normalized to the abundance of ascr#2 in positive ionization mode. Quantification was performed with Metaboseek software or via integration using Xcalibur QualBrowser v4.1.31.9 (Thermo Fisher Scientific) using a 3-ppm window around the m/z of interest.
For volcano plot in Fig. 1D, the exo-metabolome in negative ionization mode is depicted as a representative dataset. The list of features identified by peak picking in Metaboseek (including degenerate features such as adducts and isotopes) was culled by retention time (180–1080 s) and further filtered by grouped analysis as described47. In brief, all C. elegans samples were grouped and compared against a blank solvent injection. Blank subtraction was performed by removing any feature less than five-fold more abundant in C. elegans samples relative to blank. Features were further culled by a mean intensity threshold of 10,000 AU for the C. elegans group. The resulting feature list of 30,191 features was regrouped according to genotype and analyzed by unpaired, two-sided Welch’s t-test; because ascr#3 was used as a normalization factor, ascr#3 isotopes and adducts were manually removed. A representative experiment comparing Pfat-7::fat-7::GFP WT reporter strain and the acdh-11(n5878);Pfat-7::fat-7::GFP mutant at different temperatures was analyzed, comprising two cultures reared at 20 °C and one culture each at 15 °C and 25 °C, which were modeled as four independent experiments.
For volcano plots in Fig. 4E and Supplementary Fig. 11, the exo-metabolome in negative ionization mode is depicted. Data represents three independent experiments each with two technical replicates grown and extracted independently. For purpose of comparison, data were modeled as six independent experiments (or five for fcmt-1(gk155709)) and adjusted for significance by the Benjamini-Hochberg method using a false discovery rate of 15%, as indicated107. List of features culled as above except retention time window adjusted (60–1080 s). The resulting feature list of 40,436 features was analyzed by unpaired, two-sided Welch’s t-test; ascr#3 isotopes and adducts were manually removed, as above. Statistical analysis for metabolomics was performed with Metaboseek software (v0.9.9.0), Microsoft Excel (v2302 Build 16.0.16130.20332), and with GraphPad Prism (v9.5.0.730).
Isolation and NMR spectroscopy of becyp#2
The exo-metabolomes of several medium-scale C. elegans cultures were lyophilized and extracted with methanol, as described. Dried methanol extract was loaded onto Celite and fractionated using medium pressure reverse phase chromatography (15 g C18 Combiflash RediSep column, Teledyne Isco 69-2203-334). Solvent A: 0.1% acetic acid in water; solvent B: acetonitrile. Column was primed with 1% B; separation was achieved by 5% B for 2 column volumes (CV), which was increased linearly to 50% B over 15 CV, then to 100% B over 3 CV and held at 100% B for 5 CV, before returning to 80% B for 3 CV. Fractions were assayed for compounds of interest by HPLC-MS, the relevant fractions were combined and dried in vacuo. Following suspension in water: methanol (1:2), the pooled fractions were further separated by semi-preparative HPLC on a Thermo Hypersil Gold C18 column (250 mm × 10 mm, particle size 5 μM; 25005-259070) using a Vanquish UPLC system controlled by Chromeleon Software (ThermoFisher Scientific) and coupled to a Dionex UltiMate 3000 Automated fraction collector and to an Orbitrap Q-Exactive High Field mass spectrometer using a 9:1 split. Fractions containing becyp#2 were combined and analyzed by 2D NMR spectroscopy (CD3OD, Bruker Avance III HD, 800 MHz). For NMR spectroscopic data, see Supplementary Table 5.
Statistics and reproducibility
No statistical method was used to predetermine sample size. No data were excluded from the analyses. The experiments were not randomized. The investigators were not blinded to allocation during experiments and outcome assessment.
Chemical syntheses
See “Supplementary Information” for synthetic schemes, synthesis procedures, and NMR spectroscopic data.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Supplementary information
Source data
Acknowledgements
This research was supported in part by the National Institutes of Health (R35GM131877 to F.C.S.) and the Howard Hughes Medical Institute (Faculty Scholar grant to F.C.S.). MJH received a Research Fellowship from the Deutsche Forschungsgemeinschaft (D.F.G.), Project Number 386228702. Some strains used in this work were provided by the CGC, which is funded by the NIH Office of Research Infrastructure Programs (P40 OD010440). hacl-1(tm6725) and fcmt-1(tm2382) were obtained from the National Bioresource Project, Tokyo, Japan. We thank Gary Horvath for technical support. We thank Camila Castellanos for assistance with sample processing and Erich Schwarz for helpful discussions and critical feedback. This work was also supported by the National Science Foundation (Award 2042101 to F.C.S.).
Author contributions
F.C.S. and S.S.L. supervised the study. B.W.F., R.N.B., M.J.H., A.B.A., D.F.P., A.C., A.T., A.F.S. and C.J.J.W. performed chemical and biological experiments. R.N.B., B.J.C. and Y.K.Z. performed syntheses. B.W.F. and F.C.S. wrote the paper with input from all authors.
Peer review
Peer review information
Nature Communications thanks Eric Brown and Jennifer Watts for their contribution to the peer review of this work. A peer review file is available.
Data availability
The HPLC-HRMS data generated during this study have been deposited in the MassIVE database under accession code MSV000092700 [10.25345/C50R9MF18]. Detailed information about newly described C. elegans compounds can be accessed via the Small Molecule Identifier Database (SMID-DB, https://www.smid-db.org/). Protein sequence data was downloaded from the National Center for Biotechnology Information (NCBI) non-redundant (nr) database (https://www.ncbi.nlm.nih.gov/refseq/about/nonredundantproteins/). Source data are provided with this paper.
Competing interests
F.C.S. is a co-founder of Holoclara and Ascribe Bioscience, a member of the Board of Directors of Ascribe Bioscience, and a member of the Scientific Advisory Board of Hexagon Bio. The remaining authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Maximilian J. Helf, Russell N. Burkhardt.
Change history
7/19/2024
A Correction to this paper has been published: 10.1038/s41467-024-50246-8
Supplementary information
The online version contains supplementary material available at 10.1038/s41467-024-45782-2.
References
- 1.Fan, Y. & Pedersen, O. Gut microbiota in human metabolic health and disease. Nat. Rev. Microbiol.19, 55–71 (2021). 10.1038/s41579-020-0433-9 [DOI] [PubMed] [Google Scholar]
- 2.Martin, A. M., Sun, E. W., Rogers, G. B. & Keating, D. J. The influence of the gut microbiome on host metabolism through the regulation of gut hormone release. Front. Physiol. 10, 428 (2019). [DOI] [PMC free article] [PubMed]
- 3.Brown, E. M., Clardy, J. & Xavier, R. J. Gut microbiome lipid metabolism and its impact on host physiology. Cell Host Microbe31, 173–186 (2023). 10.1016/j.chom.2023.01.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Schoeler, M. & Caesar, R. Dietary lipids, gut microbiota and lipid metabolism. Rev. Endocr. Metab. Disord.20, 461–472 (2019). 10.1007/s11154-019-09512-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ley, R. E., Turnbaugh, P. J., Klein, S. & Gordon, J. I. Microbial ecology: human gut microbes associated with obesity. Nature444, 1022–1023 (2006). 10.1038/4441022a [DOI] [PubMed] [Google Scholar]
- 6.Serhan, C. N. & Levy, B. D. Resolvins in inflammation: emergence of the pro-resolving superfamily of mediators. J. Clin. Invest.128, 2657–2669 (2018). 10.1172/JCI97943 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Kahn-Kirby, A. H. et al. Specific polyunsaturated fatty acids drive TRPV-dependent sensory signaling in vivo. Cell119, 889–900 (2004). 10.1016/j.cell.2004.11.005 [DOI] [PubMed] [Google Scholar]
- 8.Agus, A., Clément, K. & Sokol, H. Gut microbiota-derived metabolites as central regulators in metabolic disorders. Gut70, 1174–1182 (2021). 10.1136/gutjnl-2020-323071 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Rowland, I. et al. Gut microbiota functions: metabolism of nutrients and other food components. Eur. J. Nutr.57, 1–24 (2017). 2017 571. 10.1007/s00394-017-1445-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Tiku, P. E., Gracey, A. Y., Macartney, A. I., Beynon, R. J. & Cossins, A. R. Cold-induced expression of Δ9-desaturase in carp by transcriptional and posttranslational mechanisms. Science (80-)271, 815–818 (1996). 10.1126/science.271.5250.815 [DOI] [PubMed] [Google Scholar]
- 11.Flowers, M. T. & Ntambi, J. M. Role of stearoyl-coenzyme A desaturase in regulating lipid metabolism. Curr. Opin. Lipidol.19, 248 (2008). 10.1097/MOL.0b013e3282f9b54d [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Liu, X., Strable, M. S. & Ntambi, J. M. Stearoyl CoA desaturase 1: role in cellular inflammation and stress. Adv. Nutr.2, 15 (2011). 10.3945/an.110.000125 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hu, C. C., Qing, K. & Chen, Y. Diet-induced changes in Stearoyl-CoA desaturase 1 expression in obesity-prone and -resistant mice. Obes. Res.12, 1264–1270 (2004). 10.1038/oby.2004.160 [DOI] [PubMed] [Google Scholar]
- 14.Grajchen, E. et al. Fatty acid desaturation by stearoyl-CoA desaturase-1 controls regulatory T cell differentiation and autoimmunity. Cell. Mol. Immunol. 20, 666–679 (2023). [DOI] [PMC free article] [PubMed]
- 15.Vriens, K. et al. Evidence for an alternative fatty acid desaturation pathway increasing cancer plasticity. Nature566, 403–406 (2019). 10.1038/s41586-019-0904-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Koundouros, N. & Poulogiannis, G. Reprogramming of fatty acid metabolism in cancer. Br. J. Cancer122, 4–22 (2020). 10.1038/s41416-019-0650-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.MacDonald, M. L. E. et al. Despite antiatherogenic metabolic characteristics, SCD1-deficient mice have increased inflammation and atherosclerosis. Arterioscler. Thromb. Vasc. Biol.29, 341–347 (2009). 10.1161/ATVBAHA.108.181099 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Miller, C. W. & Ntambi, J. M. Peroxisome proliferators induce mouse liver stearoyl-CoA desaturase 1 gene expression. Proc. Natl Acad. Sci. USA93, 9443–9448 (1996). 10.1073/pnas.93.18.9443 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bensinger, S. J. & Tontonoz, P. Integration of metabolism and inflammation by lipid-activated nuclear receptors. Nature454, 470–477 (2008). 10.1038/nature07202 [DOI] [PubMed] [Google Scholar]
- 20.Toyama, T. et al. Stearoyl-CoA desaturase activity is elevated by the suppression of its degradation by clofibric acid in the liver of rats. J. Pharmacol. Sci.103, 383–390 (2007). 10.1254/jphs.FP0061124 [DOI] [PubMed] [Google Scholar]
- 21.Chakravarthy, M. V. et al. Identification of a physiologically relevant endogenous ligand for PPARα in liver. Cell138, 476–488 (2009). 10.1016/j.cell.2009.05.036 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Roy, A. et al. Identification and characterization of PPARα ligands in the hippocampus. Nat. Chem. Biol.12, 1075 (2016). 10.1038/nchembio.2204 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Stojanović, O. et al. Dietary excess regulates absorption and surface of gut epithelium through intestinal PPARα. Nat. Commun.12, 1–15 (2021). 2021 121. 10.1038/s41467-021-27133-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ntambi, J. M. Dietary regulation of stearoyl-CoA desaturase 1 gene expression in mouse liver. J. Biol. Chem.267, 10925–10930 (1992). 10.1016/S0021-9258(19)50107-7 [DOI] [PubMed] [Google Scholar]
- 25.Fu, J. et al. Oleylethanolamide regulates feeding and body weight through activation of the nuclear receptor PPAR-α. Nature425, 90–93 (2003). 10.1038/nature01921 [DOI] [PubMed] [Google Scholar]
- 26.Kindt, A. et al. The gut microbiota promotes hepatic fatty acid desaturation and elongation in mice. Nat. Commun. 9, 3760 (2018). [DOI] [PMC free article] [PubMed]
- 27.Mauvoisin, D. & Mounier, C. Hormonal and nutritional regulation of SCD1 gene expression. Biochimie93, 78–86 (2011). 10.1016/j.biochi.2010.08.001 [DOI] [PubMed] [Google Scholar]
- 28.Ridaura, V. K. et al. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science341, 1241214 (2013). [DOI] [PMC free article] [PubMed]
- 29.De Groot, P. et al. Donor metabolic characteristics drive effects of faecal microbiota transplantation on recipient insulin sensitivity, energy expenditure and intestinal transit time. Gut69, 502–512 (2019). 10.1136/gutjnl-2019-318320 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Srinivasan, S. Regulation of body fat in Caenorhabditis elegans. Annu. Rev. Physiol.77, 161–178 (2015). 10.1146/annurev-physiol-021014-071704 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kim, D. H. & Flavell, S. W. Host-microbe interactions and the behavior of Caenorhabditis elegans. J. Neurogenet.34, 500–509 (2020). 10.1080/01677063.2020.1802724 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Brock, T. J., Browse, J. & Watts, J. L. Genetic regulation of unsaturated fatty acid composition in C. elegans. PLoS Genet. 10.1371/journal.pgen.0020108 (2006). [DOI] [PMC free article] [PubMed]
- 33.Devkota, R. et al. The adiponectin receptor AdipoR2 and its Caenorhabditis elegans homolog PAQR-2 prevent membrane rigidification by exogenous saturated fatty acids. PLoS Genet.13, e1007004 (2017). 10.1371/journal.pgen.1007004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ma, D. K. et al. Acyl-CoA dehydrogenase drives heat adaptation by sequestering fatty acids. Cell161, 1152–1163 (2015). 10.1016/j.cell.2015.04.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Van Gilst, M. R., Hadjivassiliou, H., Jolly, A. & Yamamoto, K. R. Nuclear hormone receptor NHR-49 controls fat consumption and fatty acid composition in C. elegans. PLoS Biol.10.1371/journal.pbio.0030053 (2005). 10.1371/journal.pbio.0030053 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Van Gilst, M. R., Hadjivassiliou, H. & Yamamoto, K. R. A Caenorhabditis elegans nutrient response system partially dependent on nuclear receptor NHR-49. Proc. Natl Acad. Sci. USA102, 13496–13501 (2005). 10.1073/pnas.0506234102 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Leone, T. C., Weinheimer, C. J. & Kelly, D. P. A critical role for the peroxisome proliferator-activated receptor α (PPARα) in the cellular fasting response: The PPARα-null mouse as a model of fatty acid oxidation disorders. Proc. Natl Acad. Sci. USA96, 7473–7478 (1999). 10.1073/pnas.96.13.7473 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Brandstädt, S., Schmeisser, K., Zarse, K. & Ristow, M. Lipid-lowering fibrates extend C. Elegans lifespan in a NHR-49/PPARalpha-dependent manner. Aging (Albany. NY). 10.18632/aging.100548 (2013). [DOI] [PMC free article] [PubMed]
- 39.Watts, J. L. & Ristow, M. Lipid and carbohydrate metabolism in Caenorhabditis elegans. Genetics207, 413–446 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Murray, P., Hayward, S. A. L., Govan, G. G., Gracey, A. Y. & Cossins, A. R. An explicit test of the phospholipid saturation hypothesis of acquired cold tolerance in Caenorhabditis elegans. Proc. Natl Acad. Sci. USA104, 5489–5494 (2007). 10.1073/pnas.0609590104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Brooks, K. K., Liang, B. & Watts, J. L. The influence of bacterial diet on fat storage in C. elegans. PLoS One4, e7545 (2009). 10.1371/journal.pone.0007545 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Grogan, D. W. & Cronan, J. E. Cyclopropane ring formation in membrane lipids of bacteria. Microbiol. Mol. Biol. Rev.61, 429–441 (1997). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Dolke, F. et al. Ascaroside signaling in the bacterivorous nematode Caenorhabditis Remanei encodes the growth phase of its bacterial food source. Org. Lett.21, 5832–5837 (2019). 10.1021/acs.orglett.9b01914 [DOI] [PubMed] [Google Scholar]
- 44.Mukherji, M. et al. The chemical biology of branched-chain lipid metabolism. Progress Lipid Research. 42 359–376 (Pergamon, 2003). [DOI] [PubMed]
- 45.Baba, T. et al. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: The Keio collection. Mol. Syst. Biol. 2, 2006.0008 (2006). [DOI] [PMC free article] [PubMed]
- 46.Geiger, O., López-Lara, I. M. & Sohlenkamp, C. Phosphatidylcholine biosynthesis and function in bacteria. Biochim. Biophys. Acta - Mol. Cell Biol. Lipids1831, 503–513 (2013). 10.1016/j.bbalip.2012.08.009 [DOI] [PubMed] [Google Scholar]
- 47.Helf, M. J., Fox, B. W., Artyukhin, A. B., Zhang, Y. K. & Schroeder, F. C. Comparative metabolomics with Metaboseek reveals functions of a conserved fat metabolism pathway in C. elegans. Nat. Commun. 13, 782 (2022). [DOI] [PMC free article] [PubMed]
- 48.Kaul, T. K., Reis Rodrigues, P., Ogungbe, I. V., Kapahi, P. & Gill, M. S. Bacterial fatty acids enhance recovery from the dauer larva in Caenorhabditis elegans. PLoS One9, e86979 (2014). 10.1371/journal.pone.0086979 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Choi, L. S., Shi, C., Ashraf, J., Sohrabi, S. & Murphy, C. T. Oleic acid protects Caenorhabditis mothers from mating-induced death and the cost of reproduction. Front. Cell Dev. Biol.0, 1430 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Brock, T. J., Browse, J. & Watts, J. L. Fatty acid desaturation and the regulation of adiposity in Caenorhabditis elegans. Genetics176, 865 (2007). 10.1534/genetics.107.071860 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Taubert, S., Van Gilst, M. R., Hansen, M. & Yamamoto, K. R. A mediator subunit, MDT-15, integrates regulation of fatty acid metabolism by NHR-49-dependent and -independent pathways in C. elegans. Genes Dev. 10.1101/gad.1395406 (2006). [DOI] [PMC free article] [PubMed]
- 52.Anderson, S. M. et al. The fatty acid oleate is required for innate immune activation and pathogen defense in caenorhabditis elegans. PLoS Pathog. 15, e1007893 (2019). [DOI] [PMC free article] [PubMed]
- 53.Smith, S. W. Chiral toxicology: it’s the same thing…only different. Toxicol. Sci.110, 4–30 (2009). 10.1093/toxsci/kfp097 [DOI] [PubMed] [Google Scholar]
- 54.Bello, J. E., McElfresh, J. S. & Millar, J. G. Isolation and determination of absolute configurations of insect-produced methyl-branched hydrocarbons. Proc. Natl Acad. Sci. USA112, 1077–1082 (2015). 10.1073/pnas.1417605112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Enders, D., Knopp, M. & Schiffers, R. Asymmetric [3.3]-sigmatropic rearrangements in organic synthesis. Tetrahedron Asymmetry7, 1847–1882 (1996). 10.1016/0957-4166(96)00220-0 [DOI] [Google Scholar]
- 56.Croes, K., Casteels, M., Dieuaide-Noubhani, M., Mannaerts, G. P. & Van Veldhoven, P. P. Stereochemistry of the α-oxidation of 3-methyl-branched fatty acids in rat liver. J. Lipid Res.40, 601–609 (1999). 10.1016/S0022-2275(20)32139-8 [DOI] [PubMed] [Google Scholar]
- 57.Biermann, U. & Metzger, J. O. Synthesis of alkyl-branched fatty acids. Eur. J. Lipid Sci. Technol.110, 805–811 (2008). 10.1002/ejlt.200800033 [DOI] [Google Scholar]
- 58.Han, M., Jia, F., Cui, M. & Than, M. T. Developmental defects of Caenorhabditis elegans lacking branched-chain α-ketoacid dehydrogenase are mainly caused by monomethyl branched-chain fatty acid deficiency. J. Biol. Chem.291, 2967–2973 (2016). 10.1074/jbc.M115.676650 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Kniazeva, M., Crawford, Q. T., Seiber, M., Wang, C. Y. & Han, M. Monomethyl branched-chain fatty acids play an essential role in Caenorhabditis elegans development. PLoS Biol. 2, e257 (2004). [DOI] [PMC free article] [PubMed]
- 60.Petrossian, T. C. & Clarke, S. G. Uncovering the Human Methyltransferasome. Mol. Cell. Proteomics10, M110.000976 (2011). [DOI] [PMC free article] [PubMed]
- 61.Hannich, J. T. et al. Methylation of the sterol nucleus by STRM-1 regulates dauer larva formation in Caenorhabditis elegans. Dev. Cell16, 833–843 (2009). 10.1016/j.devcel.2009.04.012 [DOI] [PubMed] [Google Scholar]
- 62.Asencio, C., Rodríguez-Aguilera, J. C., Ruiz-Ferrer, M., Vela, J. & Navas, P. Silencing of ubiquinone biosynthesis genes extends life span in Caenorhabditis elegans. FASEB J.17, 1135–1137 (2003). 10.1096/fj.02-1022fje [DOI] [PubMed] [Google Scholar]
- 63.Navarro, I. C. et al. Translational adaptation to heat stress is mediated by RNA 5-methylcytosine in Caenorhabditis elegans. EMBO J.40, e105496 (2021). 10.15252/embj.2020105496 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Crisp, A., Boschetti, C., Perry, M., Tunnacliffe, A. & Micklem, G. Expression of multiple horizontally acquired genes is a hallmark of both vertebrate and invertebrate genomes. Genome Biol.16, 1–13 (2015). 2015 161. 10.1186/s13059-015-0607-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Wrobel, C. J. J. et al. Combinatorial assembly of modular glucosides via carboxylesterases regulates C. elegans starvation survival. Cite This J. Am. Chem. Soc.143, 14676–14683 (2021). 10.1021/jacs.1c05908 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Barkan, D., Rao, V., Sukenick, G. D. & Glickman, M. S. Redundant function of cmaA2 and mmaA2 in Mycobacterium tuberculosis cis cyclopropanation of oxygenated mycolates. J. Bacteriol.192, 3661–3668 (2010). 10.1128/JB.00312-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Han, S. et al. Mono-unsaturated fatty acids link H3K4me3 modifiers to C. elegans lifespan. Nature544, 185–190 (2017). 10.1038/nature21686 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Lemke, R. A. S. et al. A bacterial biosynthetic pathway for methylated furan fatty acids. J. Biol. Chem.295, 9786–9801 (2020). 10.1074/jbc.RA120.013697 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Pathare, P. P., Lin, A., Bornfeldt, K. E., Taubert, S. & van Gilst, M. R. Coordinate regulation of lipid metabolism by novel nuclear receptor partnerships. PLoS Genet. 10.1371/journal.pgen.1002645 (2012). [DOI] [PMC free article] [PubMed]
- 70.Lee, K., Goh, G. Y. S., Wong, M. A., Klassen, T. L. & Taubert, S. Gain-of-function alleles in caenorhabditis elegans nuclear hormone receptor nhr-49 are functionally distinct. PLoS One10.1371/journal.pone.0162708 (2016). [DOI] [PMC free article] [PubMed]
- 71.Wani, K. A. et al. Nhr-49/ppar-a and hlh-30/tfeb cooperate for c. Elegans host defense via a flavin-containing monooxygenase. Elife10, e62775 (2021). [DOI] [PMC free article] [PubMed]
- 72.Wanders, R. J. A., Komen, J. & Ferdinandusse, S. Phytanic acid metabolism in health and disease. Biochimica et Biophysica Acta - Molecular and Cell Biology of Lipids 1811 498–507 (Elsevier, 2011). [DOI] [PubMed]
- 73.Funabashi, M. et al. A metabolic pathway for bile acid dehydroxylation by the gut microbiome. Nature582, 566–570 (2020). 10.1038/s41586-020-2396-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Quinn, R. A. et al. Global chemical effects of the microbiome include new bile-acid conjugations. Nature579, 123–129 (2020). 10.1038/s41586-020-2047-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Downes, M. et al. A chemical, genetic, and structural analysis of the nuclear bile acid receptor FXR. Mol. Cell11, 1079–1092 (2003). 10.1016/S1097-2765(03)00104-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Claudel, T., Staels, B. & Kuipers, F. The Farnesoid X receptor: a molecular link between bile acid and lipid and glucose metabolism. Arterioscler. Thromb. Vasc. Biol.25, 2020–2031 (2005). 10.1161/01.ATV.0000178994.21828.a7 [DOI] [PubMed] [Google Scholar]
- 77.Louis, P. & Flint, H. J. Formation of propionate and butyrate by the human colonic microbiota. Environ. Microbiol.19, 29–41 (2017). 10.1111/1462-2920.13589 [DOI] [PubMed] [Google Scholar]
- 78.Smith, P. M. et al. The microbial metabolites, short-chain fatty acids, regulate colonic T reg cell homeostasis. Science (80-.)341, 569–573 (2013). 10.1126/science.1241165 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Almeida, A. et al. A unified catalog of 204,938 reference genomes from the human gut microbiome. Nat. Biotechnol.39, 105–114 (2020). 2020 391. 10.1038/s41587-020-0603-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Colosimo, D. A. et al. Mapping interactions of microbial metabolites with human G-protein-coupled receptors. Cell Host Microbe26, 273–282.e7 (2019). 10.1016/j.chom.2019.07.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Moghaddam, J. A. et al. Cyclopropane-containing fatty acids from the marine bacterium Labrenzia sp. 011 with antimicrobial and GPR84 activity. Mar. Drugs16, 369 (2018). 10.3390/md16100369 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Bae, M. et al. Akkermansia muciniphila phospholipid induces homeostatic immune responses. Nature2022 1–6 10.1038/s41586-022-04985-7 (2022). [DOI] [PMC free article] [PubMed]
- 83.Lolli, V., Dall’Asta, M., Del Rio, D., Palla, G. & Caligiani, A. Presence of cyclopropane fatty acids in foods and estimation of dietary intake in the Italian population. Int. J. Food Sci. Nutr.70, 467–473 (2019). 10.1080/09637486.2018.1540556 [DOI] [PubMed] [Google Scholar]
- 84.Grant, R. J. & Adesogan, A. T. Journal of dairy science silage special issue: introduction. J. Dairy Sci.101, 3935–3936 (2018). 10.3168/jds.2018-14630 [DOI] [PubMed] [Google Scholar]
- 85.Mika, A. et al. Increased serum level of cyclopropaneoctanoic acid 2-hexyl in patients with hypertriglyceridemia-related disorders. Lipids51, 867–873 (2016). 10.1007/s11745-016-4141-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Dhe-Paganon, S., Duda, K., Iwamoto, M., Chi, Y.-I. & Shoelson, S. E. Crystal structure of the HNF4α ligand binding domain in complex with endogenous fatty acid ligand*. J. Biol. Chem.277, 37973–37976 (2002). 10.1074/jbc.C200420200 [DOI] [PubMed] [Google Scholar]
- 87.Wood, R. & Reiser, R. Cyclopropane fatty acid metabolism: physical and chemical identification of propane ring metabolic products in the adipose tissue. J. Am. Oil Chem. Soc. 42, 315–320 (1965). [DOI] [PubMed]
- 88.Chung, A. E. Metabolism of cyclopropane fatty acids oxidation of cis-9,10-methylene hexadecanoic and cis-9,10-methylene octadecanoic acids by rat-liver mitochondria. Biochim. Biophys. Acta116, 205–213 (1966). [DOI] [PubMed]
- 89.Ktsoyan, Z. A. et al. Profiles of microbial fatty acids in the human metabolome are disease-specific. Front. Microbiol. 1, 148 (2011). [DOI] [PMC free article] [PubMed]
- 90.Metwaly, A., Reitmeier, S. & Haller, D. Microbiome risk profiles as biomarkers for inflammatory and metabolic disorders. Nat. Rev. Gastroenterol. Hepatol.19, 383–397 (2022). 10.1038/s41575-022-00581-2 [DOI] [PubMed] [Google Scholar]
- 91.Dirksen, P. et al. CeMbio - The Caenorhabditis elegans microbiome resource. G3 Genes, Genomes, Genet. 10.1534/g3.120.401309 (2020). [DOI] [PMC free article] [PubMed]
- 92.Karlinsey, J. E. et al. Cyclopropane fatty acids are important for salmonella enterica serovar typhimurium virulence. Infect. Immun. 90, e0047921 (2022). [DOI] [PMC free article] [PubMed]
- 93.Palacios-Chaves, L. et al. Identification and functional analysis of the cyclopropane fatty acid synthase of Brucella abortus. Microbiology158, 1037–1044 (2012). 10.1099/mic.0.055897-0 [DOI] [PubMed] [Google Scholar]
- 94.Wang, A. ‐Y. & Cronan, J. E. The growth phase-dependent synthesis of cyclopropane fatty acids in Escherichia coli is the result of an RpoS(KatF)-dependent promoter plus enzyme instability. Mol. Microbiol.11, 1009–1017 (1994). 10.1111/j.1365-2958.1994.tb00379.x [DOI] [PubMed] [Google Scholar]
- 95.Burkhardt, R. N. et al. Sex-specificity of the C. elegans metabolome. Nat. Commun.14, 1–15 (2023). 10.1038/s41467-023-36040-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Ebbing, A. et al. Spatial transcriptomics of C. elegans males and hermaphrodites identifies sex-specific differences in gene expression patterns. Dev. Cell47, 801–813.e6 (2018). 10.1016/j.devcel.2018.10.016 [DOI] [PubMed] [Google Scholar]
- 97.Ortiz, M. A., Noble, D., Sorokin, E. P. & Kimble, J. A new dataset of spermatogenic vs. oogenic transcriptomes in the Nematode Caenorhabditis elegans. G3 Genes|Genomes|Genet.4, 1765 (2014). 10.1534/g3.114.012351 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Husnik, F. & McCutcheon, J. P. Functional horizontal gene transfer from bacteria to eukaryotes. Nat. Rev. Microbiol.16, 67–79 (2018). 10.1038/nrmicro.2017.137 [DOI] [PubMed] [Google Scholar]
- 99.Pruss, K. M. et al. Host-microbe co-metabolism via MCAD generates circulating metabolites including hippuric acid. Nat. Commun.14, 1–12 (2023). 10.1038/s41467-023-36138-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Jin, W. B. et al. Genetic manipulation of gut microbes enables single-gene interrogation in a complex microbiome. Cell185, 547–562.e22 (2022). 10.1016/j.cell.2021.12.035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Artyukhin, A. B., Schroeder, F. C. & Avery, L. Density dependence in Caenorhabditis larval starvation. Sci. Rep.3, 1–7 (2013). 10.1038/srep02777 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Ahmed, M. et al. Phylogenomic analysis of the phylum Nematoda: conflicts and congruences with morphology, 18S rRNA, and mitogenomes. Front. Ecol. Evol.9, 769565 (2022). 10.3389/fevo.2021.769565 [DOI] [Google Scholar]
- 103.Tamura, K., Stecher, G. & Kumar, S. MEGA11: molecular evolutionary genetics analysis version 11. Mol. Biol. Evol.38, 3022–3027 (2021). 10.1093/molbev/msab120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Le, S. Q. & Gascuel, O. An improved general amino acid replacement matrix. Mol. Biol. Evol.25, 1307–1320 (2008). 10.1093/molbev/msn067 [DOI] [PubMed] [Google Scholar]
- 105.Jones, D. T., Taylor, W. R. & Thornton, J. M. The rapid generation of mutation data matrices from protein sequences. Bioinformatics8, 275–282 (1992). 10.1093/bioinformatics/8.3.275 [DOI] [PubMed] [Google Scholar]
- 106.Livak, K. J. & Schmittgen, T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method. Methods25, 402–408 (2001). 10.1006/meth.2001.1262 [DOI] [PubMed] [Google Scholar]
- 107.Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B57, 289–300 (1995). 10.1111/j.2517-6161.1995.tb02031.x [DOI] [Google Scholar]
- 108.Artyukhin, A. B. et al. Succinylated octopamine ascarosides and a new pathway of biogenic amine metabolism in Caenorhabditis elegans. J. Biol. Chem. 288, 18778–18783 (2013). [DOI] [PMC free article] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The HPLC-HRMS data generated during this study have been deposited in the MassIVE database under accession code MSV000092700 [10.25345/C50R9MF18]. Detailed information about newly described C. elegans compounds can be accessed via the Small Molecule Identifier Database (SMID-DB, https://www.smid-db.org/). Protein sequence data was downloaded from the National Center for Biotechnology Information (NCBI) non-redundant (nr) database (https://www.ncbi.nlm.nih.gov/refseq/about/nonredundantproteins/). Source data are provided with this paper.