Abstract
Distinct microbial environments exert diverse e ffects on the physiology and survival of the
nematode Caenorhabditis elegans. Here, we show that C. elegans grown on two Escherichia coli
strains exhibit different survival dynamics. Wild-type C. elegans on the B type OP50 exhibit more
early deaths compared to C. elegans on K-12 type CS180. These early deaths on OP50 are
characterized by swollen pharynges (P-deaths) due to bacterial accumulation within the tissue. In
contrast, animals on CS180 are more resistant to P -deaths. Th ese bacteria-dependent
differences in P-deaths depend on bacterial lipopolysaccharide structures and the activities of the
C. elegans neuropeptide neuromedin U receptor nmur-1, which reduces P-deaths on OP50, but
not on CS180. Surprisingly , however, nmur-1 promotes the opposite response when the insulin
receptor DAF-2 has decreased activity — where nmur-1 now stimulates P-deaths on OP50, but
again with no effect on CS180. We also find that nmur-1 acts in sensory neurons to promote its
bi-directional effects on longevity, which depend on the FOXO transcription factor daf-16. nmur-1
regulates the expression of the insulin-like peptide daf-28, which further suggests a regulatory
mechanism that maintains insulin receptor DAF-2 signaling at a suitable level. Thus, our studies
reveal that nmur-1 serves to buffer the dynamic range of DAF-2 signaling, thereby optimizing
pharyngeal health and survival in response to specific bacteria.
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Introduction
Bacteria are the major dietary source for some animals [1, 2], provide metabolites as part of the
intestinal microbiome [3-5], or act as pathogens in other situations [3, 6]. As these three major
bacterial functions impact and shape an animal’s life history traits , animals must adapt and
respond to their microbial environment for optimal health and survival.
In the nematode worm C. elegans, bacteria serve as its primary food source [1], supplying
nutrients that stimulate differential gene expression to affect physiology and survival [7-13]. Since
C. elegans eat different kinds of bacteria, its genetic tractability and the ease of studying its
physiology have also made it a useful model for microbiome-derived metabolite studies [5, 14].
At the same time, several bacteria have been shown to pose a threat to C. elegans [6]. To isolate
the contributions of these bacterial functions, C. elegans physiology can be dissected when grown
on specific bacterial types — such as wild-type versus mutant bacteria or live versus dead bacteria
or different bacterial species [5-13]. These studies reveal that some bacteria are a source of
nutrients, metabolites, and/or infection [10, 11, 13, 15].
In the laboratory, C. elegans usually feeds on a diet of the B-type E. coli OP50 [16], which
is not part of the animal’s native microbiome [5]. E. coli OP50 has also been shown to be
pathogenic to the worm [15, 17]. Colonization of C. elegans pharynges by live, proliferating OP50
leads to swelling of the pharynx, ultimately killing the animals — a type of death known as P-death
[15, 17]. Presently, the mechanism(s) underlying this type of death remain unclear. For example,
the OP50 bacteria-derived cue(s) that promote P -deaths are unknown. Previously, we have
shown that worms grown on E. coli OP50 live shorter than worms grown on a K-12 type of E. coli,
CS180, and that this lifespan difference is at least partly dependent on the E. coli
lipopolysaccharide (LPS) structure [7]. Here we show that LPS structure also mediates OP50-
dependent P-deaths in C. elegans.
In the host, only a few C. elegans genes have been implicated in modulating P-deaths
[17-19], which include regulators of innate immunity. Of particular interest is the neuropeptide
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neuromedin U receptor nmur-1, which elicits distinct responses to different pathogenic bacteria
[20]. nmur-1 promotes survival against the pathogen Enterococcus faecalis , limits survival on
Salmonella enterica, and has no effect on Pseudomonas aeuruginosa [20]. Interestingly, nmur-1,
which is expressed in several sensory neurons and in subsets of interneurons and motor neurons
[7, 21], has also been shown to mediate the E. coli OP50 -dependent effects on mitochondrial
function and longevity in C. elegans [7, 11]. However, the nmur-1 deletion allele, ok1387, used in
these studies is also tightly linked to a second mutation, ot611, which is located in the gene
filamin-2 (fln-2), whose gene product promotes P-deaths [18]. To dissect the effects of nmur-1 on
OP50-dependent P-deaths, we recombined fln-2(ot611) away from nmur-1(ok1387).
Here we show that nmur-1 has complex effects on OP50-dependent C. elegans survival
but has little or no effect on CS180-dependent worm survival. In the presence of wild-type insulin
receptor DAF-2 signaling, the other known regulator of P-deaths [17, 19], wild-type nmur-1 inhibits
P-deaths on OP50. Intriguingly, nmur-1 produces an opposite response on OP50 when DAF-2
insulin receptor activity is reduced. In this context, wild-type nmur-1 now increases P-deaths, as
well as deaths that are not associated with swollen pharynges (non-P deaths) . This interaction
with daf-2 suggests that nmur-1, which acts in sensory neurons, adjusts the dynamic range of
insulin receptor signaling, a pathway known to be important for survival (reviewed by [22]). We
further find that wild-type nmur-1 specifically regulates the expression of an insulin-like peptide
(ILP) ligand, daf-28, suggesting that nmur-1 tunes insulin receptor signaling through defined ILPs.
Thus, this mechanism should provide the physiological flexibility necessary in coping with diverse
microbial environments.
Results
E. coli LPS structure modulates C. elegans survival dynamics
The E. coli B-type OP50 caused worms to live shorter than a K -12 type E. coli, CS180 (Fig 1A;
Table 1) [7]. Worms on OP50 also had a higher rate of early deaths compared to worms on CS180
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(Fig 1A), which suggests the presence in OP50 of an early hazard that is absent from CS180.
Early deaths on OP50 (P-deaths) due to bacterial colonization can be visualized by swollen
pharynges (compare Fig 1D to 1F; [15, 17]). Since CS180 reduced deaths in early adulthood (Fig
1A; Table 1), we tested if P -deaths contributed to the lifespan differences between wild-type
worms on the two bacteria (see Materials and Methods on determination of P-deaths ; Fig S1).
First, we observed that all P-deaths on OP50 or CS180 occurred by day 15 of adulthood (Fig S2).
Second, OP50-fed worms showed about 3 times more P-deaths, when compared to CS180-fed
worms (Fig 1B and 1C; Table 1), revealing that worms on CS180 were more resistant to P-deaths.
Next, we asked what bacterial cues might contribute to the P-death differences between
OP50-grown and CS180-grown worms. We previously showed that the E. coli LPS structure can
modulate C. elegans longevity [7]. CS180 LPS truncation mutants, CS2198 and CS2429 (Fig 1G),
have been shown to shorten wild-type worm lifespan [7]. Hence, we compared the number of P-
deaths on both CS2198 and CS2429 to those on CS180. While we found that only the short LPS
mutant E. coli CS2198 decreased worm lifespan in this study (Fig 1H; Table 1), both E. coli strains
with the shorter LPS produced more P-deaths than CS180 (Fig 1I and 1J; Table 1). Thus, our
Results
show that altering the core LPS structure is sufficient to promote E. coli colonization of the
pharynx and increased P-deaths.
Opposing effects of nmur-1 on E. coli OP50 depends on the daf-2 insulin receptor
We then asked what host genetic factors influence the bacterial-dependent P -deaths. One
candidate gene is the neuropeptide neuromedin U receptor nmur -1, which has been
demonstrated to mediate bacteria- specific innate immune responses [20], some of which might
depend on the LPS structure of E. coli [7]. The nmur-1(ok1387) deletion mutation used in these
studies is tightly linked to the ot611 mutation present in the putative actin-binding scaffold protein
gene fln-2, which also regulates P-deaths [18]. To address OP50-dependent P-death phenotypes
that are specific to nmur-1, we separated the fln-2(ot611) and nmur-1(ok1387) mutations.
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This approach enabled us to dissect the complex effects of the isolated nmur-1(ok1387)
mutation. First, nmur-1(ok1387) produced a short lifespan on OP50 but not CS180, whereas the
fln-2(ot611) mutant lived long only on OP50 (Fig 2A; Table 1). While fln -2(ot611) mutants also
had fewer P-deaths (Fig 2B and 2C; Table 1), the nmur-1(ok1387) mutant had more P-deaths on
OP50 but not on CS180 (Fig 2D and 2E; Table 1). These results were recapitulated in a second
independent deletion allele of nmur -1, lst1672 [21] (Fig 2F and 2G; Table 1). L oss of nmur -1
affected survival largely through pharynx-dependent deaths (Fig S3A to S3B; Table S1). When
we only counted deaths that are characterized by unswollen pharynges (non-P deaths; Fig S3C;
Table S1), the survival of nmur-1 mutants is more similar to wild-type survival. In this context,
nmur-1 acts to protect C. elegans from P-deaths in a bacterial-dependent manner.
Intriguingly, the genetic background alter s the effect of nmur-1 mutations on OP50-
dependent deaths. The wild-type insulin receptor DAF -2 promotes deaths caused by bacterial
colonization and pharyngeal swelling [17, 19]. In insects and mammals, neuromedin U signaling
influences insulin signaling by suppressing insulin secretion under certain contexts [23-27]. Thus,
we tested whether the P -death phenotype of nmur-1 is daf-2-dependent. Unexpectedly, the
daf-2(e1368) reduction-of-function mutation not only lengthened lifespan and suppressed P-
deaths but also revealed that nmur-1 activity has bi-directional effects on lifespan and P-deaths.
Unlike animals with wild-type daf-2 (Fig. 2A and 2D to 2G ; Table 1), nmur-1(ok1387) and
nmur-1(lst1672) now led to fewer P -deaths in the daf-2 mutant backgrounds ( e1368 or mu150)
on OP50 (Fig 3; Table 1), but not on CS180 (Fig 3A; Table 1). Thus, deletion of nmur-1 further
extends the long lifespan of daf-2 mutants in a bacteria-dependent manner (Fig 3; Table 1).
In contrast to animal s with wild -type daf-2, nmur-1 modulated both P-deaths and non-P
deaths when daf-2 activity was reduced (Figs S3 D to S 3F, S 4A and S4C ; Table S1). This
suggests that wild-type nmur-1 affects survival through other mechanisms besides pharyngeal
colonization. Importantly, the opposing nmur-1 phenotypes in the wild-type versus daf -2 mutant
backgrounds suggest that wild-type nmur-1 adjusts and buffers insulin receptor activity.
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Specifically, loss of nmur -1 enhances the impact of daf-2 activity on lifespan: it increases the
difference in the median time of death between wild type and daf-2 reduction-of-function mutants,
when considering either total deaths or P-deaths (Fig 3F). This increase in the dynamic range of
median lifespan between wild-type and daf-2 mutants implies that loss of nmur -1 leads to an
animal’s greater sensitivity to DAF-2 activity levels. Together, these results suggest a role for wild-
type nmur-1 in buffering the impact of DAF-2 receptor activity on lifespan.
nmur-1 promotes opposing effects on survival by acting in sensory neurons in response
to LPS structure
To address the mechanisms through which nmur-1 exerts its multiple activities, we first verified
its role through rescue experiments. Expression of wild-type nmur-1 from its own promoter [21]
rescued the nmur-1 short-lived single mutant phenotype (Fig 4A; Table 1). When daf-2 activity is
reduced, extrachromosomal expression of wild-type nmur-1 from its own promoter also rescued
the longer life phenotype due to the nmur-1 mutation (Fig 4C; Table 1) . The same construct
rescued both the P-death (Fig 4C; Table 1) and non-P death phenotypes caused by
nmur-1(ok1387) in the daf-2(e1368) background (Fig S4A and S4B; Table S1).
Next, we sought to determine where nmur-1 acts to influence C. elegans survival.
Expression of wild-type nmur-1 from the sensory neuron-specific promoter osm -6p [21] likewise
rescued the nmur-1 survival phenotypes in both wild-type and mutant daf-2 backgrounds (Fig 4B
and 4D; Table 1). This result suggests that wild-type nmur-1 in sensory neurons inhibits P-deaths
when daf-2 activity is high but promotes P deaths under low daf-2 activity. Interestingly, this
construct also rescued the non-P death phenotype (Fig S4C and S4D; Table S1) more robustly
than the P-death phenotype (Fig 4D; Table 1). Together these data suggest that nmur -1 acts in
sensory neurons to exert its multiple, context-dependent effects on C. elegans survival.
We also wanted to test whether LPS structure influences nmur-1 activity to modulate P-
deaths. E. coli CS180 has little effect on the nmur-1 phenotype in wild-type or mutant daf-2
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Background
(Fig 5A; Table 1). However, a truncation of the LPS structure in E. coli CS2429
recapitulated the nmur-1 phenotypes on OP50 : (i) an increase in P -deaths and shortening of
lifespan when daf-2 activity is wild type; and (ii) a decrease in P-deaths and lengthening of lifespan
when daf-2 activity is reduced through a mutation (Fig 5B; Table 1). Thus, these findings suggest
that LPS structure plays a role in the nmur -1 modulation of infection-dependent P-deaths that is
mediated by daf-2 activity.
nmur-1 acts upstream of the insulin pathway and regulates the sensory expression of an
insulin-like peptide
The complex interactions between nmur-1 and the daf-2 insulin receptor motivated us to
determine if they act in the same pathway. The FOXO transcription factor daf -16 is the
downstream effector of many daf-2 functions that include longevity (reviewed by [22]), leading us
to test if nmur-1 phenotypes are also daf-16-dependent. Consistent with prior work [19], we found
that loss of daf-16 increased the number of all deaths, including P-deaths (Fig 6A ; Table 1), and
suppressed the effect of daf-2 on all types of deaths (Fig 6B; Table 1). All nmur-1-dependent
types of deaths also required daf-16 (Fig 6A and 6B; Table 1), suggesting that wild-type nmur-1
modulates these deaths by acting through the DAF-2/DAF-16 signaling pathway.
To test whether nmur-1 acts upstream of this pathway, we next determined if nmur -1
affects the expression of some ILPs. C. elegans has forty ILPs that are organized into an ILP-to-
ILP network, where some ILPs have been proposed to act as agonists or antagonists of DAF -2
[28]. We focused on two ILPs , ins-6 and daf-28, which are potential DAF -2 ligands with known
roles in lifespan and whose expression are modulated by bacteria-derived cues [29-32]. Because
ins-6 and daf-28 overlap in expression [29, 32, 33] with nmur-1 in the sensory neuron ASJ [34,
35], we compared the expression of the two ILPs in the ASJ neurons of both control animals
versus nmur-1 loss-of-function mutants.
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While nmur-1 had no effect on ins -6 expression in ASJ (Fig 6C ), loss of nmur -1
significantly increased daf-28 expression in the same neurons (Fig 6D). Thus, it is possible that
nmur-1 alters the expression of ILPs such as daf-28 to exert its effects on survival.
Discussion
Bacteria can modulate insulin signaling as pathogens, food, or part of the microbiome ([36];
reviewed by [37, 38]), thereby influencing key physiological processes that are important for
survival. Here we used C. elegans genetics to dissect the contributions of these interactions on
lifespan. By stratifying early and late deaths due to different bacteria-host interactions in a
population, we reveal how nmur-1 contributes to the overall survival dynamics under normal and
reduced insulin signaling. Through systematic analyses of gene-gene and gene-environment
interactions, our findings reveal a new role for the neuromedin U pathway in buffering the effects
of the perturbations to insulin signaling during bacteria-host interactions.
Neuromedin U receptor NMUR-1 modulates survival dynamics
The survival curve of C. elegans is produced primarily by early deaths due to bacterial
accumulation in the pharynx that are analogous to infection [15, 17] and late deaths due to other
causes. Here we implicate the neuropeptide neuromedin U receptor NMUR-1 as a modulator of
both early and late deaths by acting from sensory neurons . While the NMUR-1 effects on early
deaths are consistent with a role in pathogen-specific innate immune responses, its effects on
late deaths suggest additional role(s).
We also show that the NMUR-1 effect on early deaths occurs in response to the bacterial
LPS structure. Furthermore, NMUR-1 can exert opposing effects on lifespan depending on DAF-2
receptor activity. More importantly, our findings on the bi -directional effects of NMUR -1 on
pharyngeal-dependent survival suggest a model where NMUR-1, which acts in sensory neurons,
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adjusts the dynamic range of insulin receptor signaling to promote tissue health and longevity (Fig
7).
Bacterial LPS structure interacts with nmur-1 to influence early death
We show that the bacterial LPS structure determines the frequency of early deaths caused by
bacterial colonization of the pharynx (Figs 1E, 1G to 1J and 5; Table 1). The LPS might affect C.
elegans pharyngeal integrity by changing pharyngeal pumping rates [7]. However, this possibility
is not supported by our previous findings that wild-type animals have similar pumping rates on E.
coli OP50, CS180 or CS2429, which have different LPS structures ([7]; and references therein).
Alternatively, LPS structure might affect bacterial adherence to the pharyngeal tissues, where
LPS acts as an important stimulator for the host immune system [39-42]. Some E. coli strains
have an O-antigen that promotes adherence to tissues, an important step in pathogenesis [43];
but the strains used here lack an O-antigen (Fig 1G; [7]]. Unlike the O-antigen, the bacterial core
LPS has been shown to be less adhesive, although the core LPS may regulate the expression of
adherence proteins [44-46]. For example, the truncated LPS core of E. coli CS2198, CS2429 and
OP50 might stimulate or hinder specific immune responses in C. elegans.
Here we find that LPS structure modulates the two activities of the C. elegans
neuropeptide receptor NMUR-1 in altering pharynx-dependent deaths (Fig 5; Table 1). Sun and
colleagues have recently shown that nmur-1 regulates different immune responses to specific
bacterial pathogens [20]. Wild-type nmur-1 promotes resistance to Enterococcus faecalis, inhibits
resistance to Salmonella enterica and has no effect on survival on Pseudomonas aeruginosa [20].
While bacterial LPS has not been directly implicated in these differing responses, all three bacteria
have different cell wall and LPS compositions : E. faecalis is a Gram -positive bacterium, which
likely lacks an LPS, similar to many Gram -positive bacteria [47, 48], whereas S. enterica and P.
aeruginosa are both Gram-negative bacteria with different LPS structures [49, 50]. Interestingly,
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the intestinal accumulation of E. faecalis in nmur-1 mutants [20] is reminiscent of the bacterial
colonization of pharynges on the truncated LPS mutant CS2429 (Fig. 5; Table 1).
In rodents , LPS -induced responses are also modulated by the neuromedin U (NMU)
peptide, a ligand of mammalian NMUR [51-53]. LPS exposure increases the production of the
inflammatory cytokine interleukin IL -6 from peritoneal macrophages, which is abolished by the
loss of the NMU peptide [52]. In this study [52], the presence of NMU promotes inflammation and
LPS-induced mortality. However, in another study [53], NMU is shown to be protective against
LPS-induced neuronal death, where NMU promotes the production of the neuroprotective brain-
derived neurotrophic factor, BDNF, but has no effect on interleukins . While it is unclear whether
the two studies used the same LPS isolate [52, 53], the NMU/NMUR signaling pathway has
differing responses to LPS in both C. elegans and rodents. Since the NMU signaling pathway
mediates LPS responses in mammals, and LPS has also been shown to affect mammalian insulin
activity [54, 55], we propose that the differing nmur-1 responses in C. elegans depend on the
levels of insulin receptor activity (Fig 7), as we discuss below.
nmur-1 buffers insulin receptor signaling levels to maintain health
The insulin signaling pathway regulates C. elegans immune responses (reviewed by [56]),
pharyngeal health, and survival [17, 19]. Severe reduction or hyperactivation of insulin receptor
activity is deleterious to the animal. Insulin receptor daf -2 null mutants exhibit lethality or
embryonic and larval arrest [57], whereas a gain-of-function mutation in daf-2 results in short-
lived animals that are vulnerable to stressors [58, 59]. These studies suggest the importance of
maintaining insulin receptor signaling levels at an optimal level. Modulators provide a mechanism
for fine-tuning insulin receptor activity in fluctuating environments [60].
nmur-1, which is co-expressed with daf-2 insulin receptor and/or its ILP ligands in neurons
[7, 21, 34, 61], can serve as a potential modulator of DAF-2 activity in regulating pharyngeal health
(Fig 7). Here we show that wild-type NMUR-1 promotes healthy pharynges and prevents death
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(Fig 2), presumably by lessening DAF-2 activity (Fig 7, condition 1). In contrast, when DAF-2
activity is reduced, NMUR-1 inhibits healthy pharynges and increases deaths (Fig 3), likely by
upregulating DAF-2 activity (Fig 7, condition 2). These bi -directional effects of NMUR -1 on
pharyngeal health and survival are features of neuromodulators, which ensure that cells and
tissues signal within an optimal range to function appropriately across different environments [60,
62]. Here we propose that NMUR-1 modulates tissue and cell activities by buffering and
preventing large fluctuations in DAF-2 signaling activity. This is supported by how NMUR-1 limits
the differences in median survival between wild type and daf-2 reduction-of-function mutants (Fig
3F).
NMU signaling suppresses insulin secretion from Drosophila insulin-producing cells [23]
and mammalian pancreatic β-cells in some [24-27] but not all contexts [63, 64]. In C. elegans,
NMUR-1 may ensure that the insulin receptor signals appropriately by regulating the expression
of specific ILP ligands. Consistent with this idea, we show that nmur-1 specifically downregulates
the expression of the ILP daf-28, but not of ins-6 (Fig 6C and 6D). At the same time, it is possible
that some DAF-2/DAF- 16 targets signal back to NMUR -1 and/or its ligands. Through such a
feedback mechanism, NMUR-1 can buffer and modulate the levels of insulin receptor signaling.
Thus, in the presence of NMUR -1, the C. elegans insulin receptor is neither hyperactive nor
hypoactive in response to the bacteria in the animal’s environment (Fig 7). This model highlights
a mechanism that ultimately prevents large deviations in insulin pathway activity (Fig 7), which is
necessary in optimizing pharyngeal health and survival.
The C. elegans pharynx also resembles the mammalian heart both structurally and
mechanistically [65], whose health is susceptible not only to diet [66] but also to bacterial
infections [67-69]. Moreover, mammalian insulin signaling plays a role in promoting cardiac health
versus disease states [70-72]. Because of the high degree of conservation between C. elegans
and mammals, we speculate that the NMUR-1-mediated buffering of insulin receptor signaling in
C. elegans might also exist in higher animals.
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Materials and methods
C. elegans strains and growth conditions
All C. elegans mutants used in this study were backcrossed at least three times to wild type.
Mutants that were used in the survival assays are reported in Table s 1 and S1 with their
genotypes. All experiments were carried out at 25°C. However, all worms were grown for at least
two generations at 20oC on the specified bacteria, before they were shifted to 25oC past the dauer
larval arrest decision stage, including animals carrying the daf-2(e1368) or daf-2(mu150) mutation
[57, 73, 74]. The temperature 20 oC is permissive for growth for daf-2 mutants, which prevents
dauer entry, whereas 25°C is non-permissive for these animals [57].
Bacterial strains and growth conditions
The bacterial strains that were used in the study are E. coli OP50, E. coli CS180, E. coli CS2198,
and E. coli CS2429 (see [7]; and references therein). Bacterial strains were grown from single
colonies in Luria-Bertani media at 37°C until the log-phase,
with an optical density (OD) of ~0.6
at 600 nm . For the experimental assays , 6-cm Nematode-Growth (NG) agar plates [16] were
seeded with approximately 250 μl of bacteria and streaked to cover the entire plate (full-lawn
bacterial plates). We used full-lawn plates during the lifespan assays and ILP imaging to prevent
the confounding factor of worms avoiding the bacterial lawns [75]. Plates were incubated at 25°C
overnight before they were used for any experiment.
Recombining nmur-1(ok1387) away from fln-2(ot611)
To recombine nmur-1(ok1387) away from fln-2(ot611), which is about 420 kilobases away on
chromosome X of the QZ58 C. elegans strain, QZ58 was crossed to wild type. Among the
subsequent progeny of the nmur-1 fln-2/+ + cross-progeny, we identified 2 recombination events
out of 206 chromosomes: one progeny was homozygous for the fln- 2(ot611) mutation and
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heterozygous for nmur-1(ok1387); another animal was homozygous for nmur-1(ok1387), but not
for fln-2(ot611). These animals were allowed to reproduce to isolate the nmur-1 single mutant and
the fln-2 single mutant. The mutations were detected by PCR.
The ok1387 deletion was detected by using the primers: ok1387 fw (5’-ATA AGT GTC
ATA GAT ACA GG-3’); ok1387 rv (5’-AAT ACA TAT ACT GAT TGA CC-3’); and ok1387 int rv (5’-
AAT GCT ATG GCA GAG AAG TG -3’). The mutant was detected as a 441-bp band, whereas
wild type was detected as a 602-bp band.
The ot611 point mutation was detected by using a forward primer whose 3’ end is
complementary to the adenine point mutation and generates a 253-bp band with the ot611
reverse primer, 5’-CCT GTC ACA TGA GCA CTA ATG TC-3’. The wild-type allele of fln-2 was
detected by using a forward primer whose 3’ end is complementary to cytosine and generates a
253-bp band with the ot611 reverse primer. The presence or absence of the wild-type and ot611
alleles were further confirmed by s equencing. We used the ot611_F primer, 5’-GTC ACT ATA
ATA GAC GCC GTA ATG C-3’, and the ot611 reverse primer to generate a 536-bp fragment that
was sequenced to determine whether position 301 of the fragment is a C or an A.
Lifespan assays
Worms were picked for all experiments at the late L4 stage at 25
oC and were transferred onto full
lawns of the specified bacteria daily for the first 6 days of adulthood, thereby preventing the mixing
of subjects with their progeny. The details of the censoring during experiments are explained in
the legend of Table 1. Kaplan-Meier estimates were done using the JMP 8.0.1 software (SAS). P
values of both Wilcoxon and l og-rank tests are reported in the data tables. The Wilcoxon test is
the better measure of statistic al significance when hazard ratios are not constant throughout an
assay [7, 76], which is the case for most of our survival comparisons.
Necropsy analysis to determine P-deaths versus non-P deaths
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The pharynges of all the dead animals in survival assays were imaged using a Nikon Eclipse Ni-
U microscope and a Photometrics Coolsnap ES2 camera at 400x magnification. The surface area
of the terminal pharyngeal bulb (see Fig 1C to 1E) was measured using the NIS-Elements
software (Nikon Instruments, Inc). The surface area of the terminal bulb was then divided by the
diameter of the body of the same animal at the region of the terminal bulb, which is also known
as the grinder (area P/diameterG). This normalization addressed the possibility that the general
size of the animals affected the pharyngeal surface area.
Through a principal component analysis of dead wild-type animals on OP50 (n = 387) from
8 independent survival assays, we initially separated these animals into two clusters —one with
swollen pharynges (P -deaths) and one without swollen pharynges (non-P deaths). Since P -
deaths happen early in the lifespan of the population [15], we used areaP/diameterG and the age
of death as variables. The principal component analysis was carried out in the R 4. 4.2 software
[77], where we plotted the data (Fig S1) using ggplot2 [78] and ggfortify [79]. From Fig S 1, we
determined the threshold areaP/diameterG that would separate the two clusters, which was a ratio
value of 27. This threshold value was then used to categorize animals that died with significant
pharyngeal swelling (P-deaths) or with no pharyngeal swelling (non-P deaths) in all experiments.
Imaging ILP:
:mCherry expression
Generation of the ILP::mCherry transcriptional reporter. The generation of the ins-6p::mCherry
reporter drcSi68 is as previously described [33]. The daf-28p::mCherry drcSi98 was generated
by flanking the mCherry gene with 3.3-kb sequences upstream of the daf-28 start codon and 4.7-
kb sequences downstream of the daf-28 stop codon. Both 5’ and 3’ cis regulatory sequences of
daf-28 were amplified from YAC Y116F11 with Phusion DNA polymerase and then cloned into
the pCR-Blunt vector, which was sequenced for confirmation. The subsequent reporter was next
cloned into a MosSCI vector for integration (pQL184) at the ttTi4348 site of chromosome I.
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16
Live imaging of worms. Animals were grown on full lawns of OP50 at 20 oC, before they
were shifted to 25 oC at the second larval stage (L2). Worms were then imaged at 1000x
magnification, once they reached the mid -L4 stage at 25 oC, using a Nikon Eclipse Ni -U
microscope and a Photometrics Coolsnap ES2 cooled digital camera. We quantified fluorescence
intensities using a built-in fluorescence quantification algorithm (NIS -Elements, Nikon
Instruments, Inc). The Student’s t-test was used to compare each ILP expression between wild
type and nmur-1(ok1387) expression.
Statistical analyses
Statistical analyses were performed using JMP 8.0.1 (SAS) for all survival assays; GraphPad
Prism 8 software for the ILP imaging measurements; and R 4.4.2 for the principal component
analyses of the swollen pharynx-dependent deaths. For more details, refer to above and the figure
and table legends.
Acknowledgements
We thank the Caenorhabditis Genetics Center (funded by NIH P40 OD010440), I. Beets, C.
Kenyon and J. Watteyne for strains used in this study. We also thank A. Caballero, D. A.
Fernandes de Abreu and C. Liu for technical support in generating the drcSi98 strain and M.
Friedrich for comments on the manuscript. This work was supported by an ERC Starting
Investigator Grant (NeuroAge 242666) and a Research Councils UK Fellowship to Q. C., and by
the Novartis Research Foundation, Swiss National Science Foundation (31003A_134958),
Wayne State University, the Alcedo family and NIH (R01 GM108962) to J. A.
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17
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26
Figure legends
Fig 1. Bacterial food type influences swollen pharynx-dependent deaths in C. elegans. (A)
Wild-type C. elegans fed E. coli OP50 had more early deaths compared to C. elegans fed E. coli
CS180. (B) The early deaths depended on swollen pharynges (P -deaths) in worms fed OP50
compared to worms fed CS180. (C) The fraction of P-deaths out of 144 total deaths on OP50 or
164 total deaths on CS180. (D) DIC image of a non-swollen pharynx in a live one-day old adult
worm. (E-F) DIC images of dead five-day old adult worms that either have a swollen pharynx (E)
or a non-swollen pharynx (F). Scale bar is 10 µ m. (G) LPS structures of OP50 and CS180. The
red scissors indicate the LPS truncations that correspond to CS2198 and CS2429, which are
derived from CS180. (H-I) All deaths (H) versus P-deaths (I) of wild-type C. elegans on CS180
and the LPS-truncated CS2198 and CS2429. (J) The fraction of P -deaths out of 64 deaths on
CS180, 61 deaths on CS2429 and 65 deaths on CS2198. Chi -square analyses were carried out
to determine significant differences between the fractions of P-deaths among the different groups
of animals on the different bacteria in this figure and subsequent figures. *** denotes P < 0.001,
whereas **** denotes P < 0.0001. See Table 1 for the rest of the statistical analyses that also
pertain to this figure and subsequent figures.
Fig 2. Wild-type nmur-1 decreases pharynx-dependent deaths in a bacteria-dependent
manner. (A) On OP50, the nmur-1(ok1387) single mutant shortened lifespan whereas the
fln-2(ot611) single mutant extended lifespan. On CS180, nmur-1 mutants lived slightly longer than
wild type, but fln-2 mutants lived like wild type. (B) fln-2(ot611) had fewer P-deaths on OP50. (C)
The fraction of P-deaths on OP50 out of 138 deaths for wild type and 162 deaths for fln-2(ot611).
(D) nmur-1(ok1387) had more P-deaths on OP50 but not on CS180. (E) The fraction of P-deaths
on OP50 out of 203 deaths for wild type and 231 deaths for nmur-1(ok1387). (F) A second allele
of nmur-1, lst1672, also shortened lifespan and increased P deaths on OP50. (G) The fraction of
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27
P-deaths on OP50 out of 257 deaths for wild type and 269 deaths for nmur -1(lst1672). The
following symbols denote the following: **, P < 0.01; ***, P < 0.001; and ****, P < 0.0001.
Fig 3. In contrast, under low daf-2 insulin receptor activity, wild-type nmur-1 increases P-
deaths. (A) In the daf-2(e1368) reduction-of-function mutant background, nmur -1(ok1387) had
an opposing effect on lifespan on OP50—nmur -1(ok1387) increased longevity by decreasing P-
deaths. Again, nmur-1(ok1387) had little effect on CS180. (B) A second allele of nmur-1, lst1672,
also increased lifespan and reduced P -deaths in the daf -2(e1368) mutant background. (C)
nmur-1(ok1387) also enhanced the lifespan of another reduction-of -function allele of daf-2 ,
mu150, which led to fewer P-deaths. (D) The fraction of P-deaths on OP50 out of 203 deaths for
wild type, 231 deaths for nmur -1(ok1387) single mutants, 182 deaths for daf-2(e1368) single
mutants and 206 deaths for daf-2(31368); nmur-1(ok1387) double mutants out of 2 trials. (E) The
fraction of P -deaths on OP50 out of 165 deaths for wild type, 160 deaths for nmur -1(lst1672)
single mutants, 105 deaths for daf-2(e1368) single mutants and 156 deaths for daf-2(31368) ;
nmur-1(lst1672) double mutants out of 2 trials. (F) Left panel: The difference in the median time
of all deaths between wild type and daf-2 reduction-of-function mutants in the presence (n = 6
trials) or absence of nmur -1 (n = 6 trials ). Right panel: The difference in the median time of P-
deaths between wild type and daf-2 reduction-of-function mutants in the presence (n = 9 trials) or
absence of nmur-1 (n = 10 trials). Significance in median differences is determined by the Mann-
Whitney test. The following symbols denote the following: *, P < 0.05; **, P < 0.01.
Fig 4. nmur -1 acts in sensory neurons to modulate longevity and P deaths. (A-B) The
longevity and P-death phenotypes of nmur-1(ok1387) single mutants that were rescued in nmur-
1-expressing cells (A) or in sensory neurons alone (B). (C-D) The longevity and P -death
phenotypes of daf-2(e1368) ; nmur-1(ok1387) double mutants, where nmur -1 was rescued in
nmur-1-expressing cells (C) or in sensory neurons alone (D).
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28
Fig 5. The effects of nmur-1 depend on the bacterial LPS structure. (A-B) The longevity and
P-death phenotypes of nmur-1(ok1387) single mutants and daf-2(e1368); nmur-1(ok1387) double
mutants on CS180 (A) versus CS2429 (B).
Fig 6. nm ur -1 acts upstream of DAF-2 and modulates the expression of the insulin-like
peptide daf-28. (A-B) The daf-16-dependence of the longevity and P-death phenotypes of nmur-
1(ok1387) single mutants (A) and of daf-2(e1368) ; nmur-1(ok1387) double mutants (B). (C-D)
The effects of nmur-1 on the ASJ neuron expression of the ins -6p::mCherry transcriptional
reporter drcSi68 [C; n = 44, wild type; n = 41 , nmur-1(ok1387)] and the daf-28p::mCherry
transcriptional reporter drcSi98 [D; n = 45, wild type; n = 44, nmur-1(ok1387)] at mid-L4 on OP50.
** indicates P value < 0.01.
Fig. 7. A model for how nmur-1 adjusts DAF-2 receptor activity in regulating survival. See
text for details.
Table legend
Table 1. Cumulative statistics of all deaths versus P-deaths on different bacteria.
Worms were censored at the time they crawled off the plate, exploded, or bagged, allowing these
worms to be incorporated into the data set until the censor date. This avoids loss of information.
P values that are significant (P < 0.05) are italicized and in bold face. If the test population lived
longer or had fewer P-deaths than the population to which it is compared, the P values are also
underlined. Both Wilcoxon and logrank P values are shown for comparison (see Materials and
Methods
on the suitability of one statistical test versus the other). All survival assays were carried
out at 25
oC on full lawns of the specified bacteria. The superscripts indicate the population to
which the test population is compared. The following abbreviations or symbols indicate: WT, wild
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29
type; OP, OP50; CS, CS180; ok1387*, the genotype daf-2(e1368); nmur-1(ok1387); $, same data
used in Figs 2D and 3A; $$, some of the data were also used in Fig 3A; and CS24, CS2429.
Supporting information
Fig S1. Principal component analysis (PCA) for necropsy analysis. PCA analysis performed
on areaP/diameterG and age of death (days) values of 387 wild-type animals from 8 separate
experiments on OP50. Numerical values of datapoints represent the areaP/diameterG of each
dead animal. Animals are separated into two clusters—probability ellipses shown in red (left side)
and in blue (right side). The red cluster represents animals with swollen pharynges at death (P -
deaths). The blue cluster represents animals with non-swollen pharynges at death (non-P
deaths).
Fig S2. Dist
ribution of the total P-deaths over the course of wild-type lifespan on different
bacteria. (A-B) P-deaths were no longer observed after day 15 of adulthood on OP50 (A) and on
CS180 (B). The number of P deaths on OP50 was 395 out of 1070 deaths (number of trials, 10).
The number of P deaths on CS180 was 55 out of 528 deaths (number of trials, 6).
Fig S3. nmur-1 has multiple and complex effects on OP50-dependent deaths. (A-C) The
survival curves of wild type and nmur-1(ok1387) single mutants (cumulative of 7 independent
trials from Figs 2, 3 and 6), when all types of deaths (A) or only P-deaths (B) are included or when
P-deaths are excluded (C). (D-F) The survival curves of daf-2(e1368) single mutants and
daf-2(e1368); nmur-1(ok1387) double mutants (cumulative of 6 independent trials from Figs 3
and 6), when all types of deaths (D) or only P -deaths (E) are included or when P-deaths are
excluded (F). See Table S1 for the statistical analyses of these data.
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30
Fig S4. nmur-1 acts from sensory neurons to modulate non-P deaths when daf-2 activity
is reduced. (A-D) The non-P death phenotypes of daf -2(e1368) single mutants versus
daf-2(e1368); nmur-1(ok1387) double mutants (A , C), where nmur -1 was rescued in nmur -1-
expressing cells (B) or in sensory neurons alone (D). See Table S1 for the statistical analyses of
these data.
Table S1. nmur -1-dependent P-deaths versus non-P deaths on E. coli OP50. Cumulative
statistics of all types of deaths of the indicated C. elegans strains. P values that are significant (P
< 0.05) are italicized and in bold face. If the test population lived longer or had fewer P -deaths
than the population to which it is compared, the P values are also underlined. The superscripts
indicate the population to which the test population is compared. ok1387* indicates the genotype
daf-2(e1368); nmur-1(ok1387). The symbol ** denotes that the pharyngeal sizes of late deaths
were left unmeasured.
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Sifoglu et al., Figure 1
D E F
J
Lipid AHepHep
Hep Kdo
Kdo
Kdo
inner core
NAG Hep
Glc
Gal
Glc Glc
outer core
Glc Glc
Lipid A
HepHep
Hep Kdo
Kdo
Kdo
inner coreouter core
CS2198 CS2429
LPS of E. coli K-12
LPS of E. coli B
CS180
OP50G
0 5 10 15
0 255 10 15 20
wild type P - deaths only
0.0
1.0
0.2
0.4
0.6
0.8
fraction alive
H
wild type
age (days of adulthood)
CS180
CS2429
CS2198
0.0
1.0
0.2
0.4
0.6
0.8
fraction alive
I
0.0
1.0
0.2
0.4
0.6
0.8
fraction of
P-deaths
CS180CS2429CS2198
0.0
1.0
0.2
0.4
0.6
0.8
fraction of
P-deaths
C
OP50 CS180
0 255 10 15 20
0.0
1.0
0.2
0.4
0.6
0.8
wild type
fraction alive
age (days of adulthood)
A B
0 5 10 15
wild type P - deaths only
CS180
OP50
CS180
OP50
****
***
****
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A
0.0
1.0
0.2
0.4
0.6
0.8
fraction alive
0 255 10 15 20
age (days of adulthood)
30 35 40
fln-2(ot611)nmur-1(ok1387) wild type
OP50
0 255 10 15 20 30 35 40
CS180
B
OP50 CS180
0 5 10 15
P - deaths only P - deaths only
0 5 10 15
0.0
1.0
0.2
0.4
0.6
0.8
fraction alive
wild type fln-2(ot611)
Sifoglu et al., Figure 2
age (days of adulthood)
D
CS180
0 5 10 15
P - deaths onlyOP50 P - deaths only
0 5 10 15
wild type nmur-1(ok1387)
0.0
1.0
0.2
0.4
0.6
0.8
fraction alive
age (days of adulthood)
OP50 P - deaths only
0 5 10 150 255 10 15 20
OP50
F
0.0
1.0
0.2
0.4
0.6
0.8
fraction alive
wild type nmur-1(lst1672)
age (days of adulthood)
fraction of P-deaths
C
wild type fln-2
(ot611)
0.0
1.0
0.2
0.4
0.6
0.8 ****
OP50
fraction of P-deaths
E
wild typenmur-1
(ok1387)
0.0
1.0
0.2
0.4
0.6
0.8
OP50
**
fraction of P-deaths
G
wild typenmur-1
(lst1672)
0.0
1.0
0.2
0.4
0.6
0.8
OP50
***
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age (days of adulthood)
OP50 CS180
A
0 255 10 15 20 30 35 40
P - deaths only
0 5 10 15
CS180 P - deaths only
Sifoglu et al., Figure 3
B
0 255 10 15 20 30 35 40 0 5 10 15
daf-2(e1368) daf-2(e1368); nmur-1(ok1387)nmur-1(ok1387)wild type
fraction alive
0.0
1.0
0.2
0.4
0.6
0.8
nmur-1(lst1672)
wild type daf-2(e1368)
daf-2(e1368);
nmur-1(lst1672)
OP50 P - deaths only
fraction alive
0.0
1.0
0.2
0.4
0.6
0.8
age (days of adulthood)
0 255 10 15 20 30 35 40 0 5 10 15
OP50
OP50 OP50 P - deaths onlyOP50
nmur-1(ok1387)
wild type daf-2(mu150)
daf-2(mu150);
nmur-1(ok1387)
0 255 10 15 20 30 35 40 0 5 10 15
C
fraction of
P-deaths
0.0
1.0
0.2
0.4
0.6
0.8
wild type
nmur-1(ok1387)daf-2(e1368)daf-2(e1368);
nmur-1(ok1387)
D
**
OP50 OP50
wild type
nmur-1(lst1672)daf-2(e1368)daf-2(e1368);
nmur-1(lst1672)
F
0
4
8
12
16
all deaths
difference in median
deaths (days)
+ _
**
P-deaths
nmur-1+ _
**
** *
**
E
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1550 255 10 15 20
0.0
1.0
0.2
0.4
0.6
0.8
fraction alive
nmur-1(ok1387); nmur-1p::nmur-1A
nmur-1(ok1387)wild type
OP50
0 10
P - deaths onlyOP50
age (days of adulthood)
0 255 10 15 20
nmur-1(ok1387); osm-6p::nmur-1B
OP50 P - deaths onlyOP50
Sifoglu et al., Figure 4
1550 10
0.0
1.0
0.2
0.4
0.6
0.8
C
OP50 P - deaths onlyOP50
0.0
1.0
0.2
0.4
0.6
0.8
fraction alive
0 255 10 15 20 30 35 40
OP50 P - deaths onlyOP50
0 5 10 15
daf-2(e1368); nmur-1(ok1387); nmur-1p::nmur-1
daf-2(e1368)wild type daf-2(e1368); nmur-1(ok1387)
age (days of adulthood)
OP50
D daf-2(e1368); nmur-1(ok1387); osm-6p::nmur-1
OP50
0 255 10 15 20 30 35 40
P - deaths onlyOP50
0 5 10 15
P - deaths onlyOP50
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Sifoglu et al., Figure 5
A
B
daf-2(e1368) daf-2(e1368); nmur-1(ok1387)nmur-1(ok1387)wild type
CS1800.0
1.0
0.2
0.4
0.6
0.8
fraction alive P - deaths onlyCS180
fraction alive
0.0
1.0
0.2
0.4
0.6
0.8
age (days of adulthood)
0 255 10 15 20 30 35 40
CS2429 P - deaths onlyCS2429
0 5 10 15
fraction alive
fraction alive
0.0
1.0
0.2
0.4
0.6
0.8
0.0
1.0
0.2
0.4
0.6
0.8
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nmur-1(ok1387)
wild type
0.0
1.0
0.2
0.4
0.6
0.8
fraction aliveOP50
0 255 10 15 20
A daf-16(mu86)
daf-16(mu86); nmur-1(ok1387)
daf-16(mu86); daf-2(e1368);
nmur-1(ok1387)
wild type
daf-16(mu86); nmur-1(ok1387)daf-2(e1368)
daf-2(e1368); nmur-1(ok1387)
age (days of adulthood)
age (days of adulthood)
daf-16(mu86); daf-2(e1368)
B
0 255 10 15 20 30 35 40
0.0
1.0
0.2
0.4
0.6
0.8
fraction aliveOP50
0 5 10 15
OP50 P - deaths only
0 5 10 15
OP50 P - deaths only
Sifoglu et al., Figure 6
C
control
0
500
1000
1500
2000
2500
ins-6p::mCherry
Fluorescence intensity (a.u.)
nmur-1
(ok1387)
D
0
500
1000
1500
2000
2500
daf-28p::mCherry
Fluorescence intensity (a.u.)
control nmur-1
(ok1387)
**
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Sifoglu et al., Figure 7
daf-2 high activity
nmur-1 daf-16
daf-2 low activity
healthy
pharynx
and survival
LPS
structure
daf-28
+ other ILPs
other
ILPs?
condition 1
condition 2
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1
Table 1. Cumulative statistics of deaths on different bacteria
Strain/Bacteria:
All deaths
Mean
Lifespan
± SEM
(Days)
# Animals
Observed/
Total Initial
Animals
(# Trials)
P vs specified
group
(Logrank)
P vs specified
group
(Wilcoxon) Fig
Strain/Bacteria:
P deaths
# Animals
Observed/
Total Initial
Animals
(# Trials)
P vs specified
group
(Logrank)
P vs specified
group
(Wilcoxon) Fig
Effects of bacteria on wild-type P deaths
Wild type (WT),
OP50
12.5 ± 0.4 142/240
(3)
- - 1A Wild type, OP50 74/240 (3) - - 1B
Wild type (WT),
CS180
14.2 ± 0.3 142/240
(3)
0.34WT/OP < 0.0001WT/OP 1A Wild type,
CS180
22/240
(3)
< 0.0001WT/OP < 0.0001WT/OP 1B
WT, CS180 14.0 ± 0.3 186/320
(3)
- - WT, CS180 26/320
(3)
- -
WT, CS2429 13.9 ± 0.3 187/320
(3)
0.94WT/CS180 0.64WT/CS180 WT, CS2429 80/320 (3) <
0.0001WT/CS180
<
0.0001WT/CS180
WT, CS180 13.7 ± 0.5 64/80 (1) - - 1H WT, CS180 17/80 (1) - - 1I
WT, CS2198 12.2 ± 0.4 65/80 (1) 0.008WT/CS180 0.05WT/CS180 1H WT, CS2198 46/80 (1) <
0.0001WT/CS180
0.004WT/CS180 1I
WT, CS2429 13.7 ± 0.6 61/80 (1) 0.56WT/CS180 0.77WT/CS180 1H WT, CS2429 35/80 (1) 0.004WT/CS180 0.02WT/CS180 1I
nmur-1-dependent P deaths
WT, OP50 11.9 ± 0.4 188/256
(1)
- - 2A WT, OP50 73/240 (2) - - 2B
nmur-1(ok1387),
OP50
9.8 ± 0.4 137/176
(1)
0.0005WT/OP < 0.0001WT/OP 2A fln-2(ot611),
OP50
34/230 (2) < 0.0001WT/OP < 0.0001WT/OP 2B
fln-2(ot611),
OP50
18.0 ± 0.6 49/70 (1) < 0.0001WT/OP < 0.0001WT/OP 2A WT, CS180 7/80 (1) - - 2B
WT, CS180 13.1 ± 0.3 117/160
(1)
- - 2A fln-2(ot611),
CS180
0/80 (1) 0.01WT/CS 0.01WT/CS 2B
nmur-1(ok1387),
CS180
14.2 ± 0.4 64/80 (1) 0.03WT/CS 0.02WT/CS 2A WT, OP50 177/540
(4)
- - 2D$
fln-2(ot611),
CS180
12.8 ± 0.3 67/80 (1) 0.34WT/CS 0.50WT/CS 2A nmur-1(ok1387),
OP50
244/540
(4)
0.0001WT/OP < 0.0001WT/OP 2D$
WT, CS180 22/320 (3) - - 2D$
nmur-1(ok1387),
CS180
18/300 (3) 0.41WT/CS 0.38WT/CS 2D$
WT, OP50 12.4 ± 0.3 210/320
(2)
- - 2F WT, OP50 108/400
(3)
- - 2F
nmur-1(lst1672),
OP50
10.4 ± 0.3 232/320
(2)
< 0.0001WT/OP < 0.0001WT/OP 2F nmur-1(lst1672),
OP50
153/400
(3)
< 0.0001WT/OP < 0.0001WT/OP 2F
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2
Table 1. Continued
Strain/Bacteria:
All deaths
Mean
Lifespan
± SEM
(Days)
# Animals
Observed/
Total Initial
Animals
(# Trials)
P vs specified
group
(Logrank)
P vs specified
group
(Wilcoxon) Fig
Strain/Bacteria:
P deaths
# Animals
Observed/
Total Initial
Animals
(# Trials)
P vs specified
group
(Logrank)
P vs specified
group
(Wilcoxon) Fig
WT, OP50 10.9 ± 0.4 117/160
(2)
- - 3A WT, OP50 177/540
(4)
- - 3A$
nmur-1(ok1387),
OP50
9.6 ± 0.4 120/160
(2)
0.05WT/OP 0.002WT/OP 3A nmur-1(ok1387),
OP50
244/540
(4)
0.0001WT/OP < 0.0001WT/OP 3A$
daf-2(e1368),
OP50
16.4 ± 0.8 94/160 (2) < 0.0001WT/OP < 0.0001WT/OP 3A daf-2(e1368),
OP50
100/760
(4)
< 0.0001WT/OP < 0.0001WT/OP 3A
daf-2(e1368);
nmur-1(ok1387),
OP50
19.1 ± 0.7 113/160
(2)
0.03daf-2/OP 0.001daf-2/OP 3A daf-2(e1368);
nmur-1(ok1387),
OP50
56/540 (4) < 0.0001daf-2/OP < 0.0001daf-2/OP 3A
WT, CS180 13.5 ± 0.3 106/160
(2)
- - 3A WT, CS180 22/320 (3) - - 3A$
nmur-1(ok1387),
CS180
14.4 ± 0.3 108/140
(2)
0.08WT/CS 0.04WT/CS 3A nmur-1(ok1387),
CS180
18/300 (3) 0.41WT/CS 0.38WT/CS 3A$
daf-2(e1368),
CS180
23.9 ± 0.5 104/160
(2)
< 0.0001WT/CS < 0.0001WT/CS 3A daf-2(e1368),
CS180
1/320 (3) < 0.0001WT/CS < 0.0001WT/CS 3A
daf-2(e1368);
nmur-1(ok1387),
CS180
23.7 ± 0.4 105/160
(2)
0.54daf-2/CS 0.42daf-2/CS 3A daf-2(e1368);
nmur-1(ok1387),
CS180
4/320 (3) 0.29daf-2/CS 0.29daf-2/CS 3A
WT, OP50 13.2 ± 0.3 145/240
(2)
- - 3B WT, OP50 63/240 (2) - - 3B
nmur-1(lst1672),
OP50
10.7 ± 0.4 153/240
(2)
< 0.0001WT/OP < 0.0001WT/OP 3B nmur-1(lst1672),
OP50
89/240 (2) < 0.0001WT/OP < 0.0001WT/OP 3B
daf-2(e1368),
OP50
17.8 ± 0.7 89/240 (2) < 0.0001WT/OP < 0.0001WT/OP 3B daf-2(e1368),
OP50
23/240 (2) 0.003WT/OP 0.004WT/OP 3B
daf-2(e1368);
nmur-1(lst1672),
OP50
20.5 ± 0.5 93/320 (2) 0.004daf-2/OP < 0.0001daf-2/OP 3B daf-2(e1368);
nmur-1(lst1672),
OP50
20/320 (2) 0.009daf-2/OP 0.002daf-2/OP 3B
WT, OP50 10.9 ± 0.4 158/220
(2)
- - 3C WT, OP50 104/220
(2)
- - 3C
nmur-1(ok1387),
OP50
10.2 ± 0.5 140/160
(1)
0.19WT/OP 0.004WT/OP 3C nmur-1(ok1387),
OP50
88/160 (1) 0.20WT/OP 0.006WT/OP 3C
daf-2(mu150),
OP50
17.9 ± 0.8 130/420
(2)
< 0.0001WT/OP < 0.0001WT/OP 3C daf-2(mu150),
OP50
54/420 (2) < 0.0001WT/OP < 0.0001WT/OP 3C
daf-2(mu150);
nmur-1(ok1387),
OP50
20.7 ± 0.7 161/420
(2)
0.004daf-2/OP 0.0001daf-2/OP 3C daf-2(mu150);
nmur-1(ok1387),
OP50
57/420 (2) 0.06daf-2/OP 0.006daf-2/OP 3C
.CC-BY-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted August 21, 2025. ; https://doi.org/10.1101/2025.08.15.670582doi: bioRxiv preprint
3
Table 1. Continued
Strain/Bacteria:
All deaths
Mean
Lifespan
± SEM
(Days)
# Animals
Observed/
Total Initial
Animals
(# Trials)
P vs specified
group
(Logrank)
P vs specified
group
(Wilcoxon) Fig
Strain/Bacteria:
P deaths
# Animals
Observed/
Total Initial
Animals
(# Trials)
P vs specified
group
(Logrank)
P vs specified
group
(Wilcoxon) Fig
Rescue of nmur-1(ok1387) single mutants with nmur-1p::nmur-1
WT, OP50 11.5 ± 0.5 94/160 (1) - - 4A WT, OP50 120/336
(2)
- - 4A
nmur-1(ok1387),
OP50
10.0 ± 0.4 136/160
(1)
0.002WT/OP < 0.0001WT/OP 4A nmur-1(ok1387),
OP50
189/336
(2)
0.0002WT/OP < 0.0001WT/OP 4A
nmur-1(ok1387);
nmur-1p::nmur-
1, OP50
12.3 ± 0.4 105/160
(1)
0.22WT/OP
< 0.0001ok1387
0.05WT/OP
< 0.0001ok1387
4A nmur-1(ok1387);
nmur-1p::nmur-
1, OP50
120/336
(2)
0.02WT/OP
< 0.0001ok1387
0.04WT/OP
< 0.0001ok1387
4A
Rescue of nmur-1(ok1387) single mutants with osm-6p::nmur-1
WT, OP50 11.0 ± 0.4 91/176 (1) - - 4B WT, OP50 129/336
(2)
- - 4B
nmur-1(ok1387),
OP50
9.5 ± 0.3 118/165
(1)
0.0008WT/OP < 0.0001WT/OP 4B nmur-1(ok1387),
OP50
178/325
(2)
< 0.0001WT/OP < 0.0001WT/OP 4B
nmur-1(ok1387);
osm-6p::nmur-1,
OP50
10.5 ± 0.4 90/176 (1) 0.41WT/OP
0.01ok1387
0.35WT/OP
0.0002ok1387
4B nmur-1(ok1387);
osm-6p::nmur-1,
OP50
89/336 (2) 0.006WT/OP
< 0.0001ok1387
0.005WT/OP
< 0.0001ok1387
4B
Rescue of daf-2(e1368); nmur-1(ok1387) double mutants with nmur-1p::nmur-1
WT, OP50 11.3 ± 0.5 92/160 (1) - - 4C WT, OP50 120/416
(3)
- - 4C
daf-2(e1368),
OP50
17.2 ± 1.0 71/160 (1) < 0.0001WT/OP < 0.0001WT/OP 4C daf-2(e1368),
OP50
55/416 (3) < 0.0001WT/OP < 0.0001WT/OP 4C
daf-2(e1368);
nmur-1(ok1387),
OP50
19.8 ± 0.8 75/160 (1) 0.15daf-2/OP 0.005daf-2/OP 4C daf-2(e1368);
nmur-1(ok1387),
OP50
55/496 (3) 0.007daf-2/OP 0.0002daf-2/OP 4C
daf-2(e1368);
nmur-1(ok1387);
nmur-1p::nmur-
1, OP50
17.0 ± 0.8 74/160 (1) 0.45daf-2/OP
0.01ok1387*
0.95daf-2/OP
0.002ok1387*
4C daf-2(e1368);
nmur-1(ok1387);
nmur-1p::nmur-
1, OP50
50/496 (3) 0.06daf-2/OP
0.6ok1387*
0.22daf-2/OP
0.05ok1387*
4C
Rescue of daf-2(e1368); nmur-1(ok1387) double mutants with osm-6p::nmur-1
WT, OP50 11.2 ± 0.3 183/336
(2)
- - 4D WT, OP50 98/336 (2) - - 4D
daf-2(e1368),
OP50
16.9 ± 0.6 150/336
(2)
< 0.0001WT/OP < 0.0001WT/OP 4D daf-2(e1368),
OP50
41/336 (2) 4D
daf-2(e1368);
nmur-1(ok1387),
OP50
18.8 ± 0.5 164/336
(2)
0.04daf-2/OP 0.0003daf-2/OP 4D daf-2(e1368);
nmur-1(ok1387),
OP50
33/336 (2) 0.05daf-2/OP 0.01daf-2/OP 4D
.CC-BY-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted August 21, 2025. ; https://doi.org/10.1101/2025.08.15.670582doi: bioRxiv preprint
4
Table 1. Continued
Strain/Bacteria:
All deaths
Mean
Lifespan
± SEM
(Days)
# Animals
Observed/
Total Initial
Animals
(# Trials)
P vs specified
group
(Logrank)
P vs specified
group
(Wilcoxon) Fig
Strain/Bacteria:
P deaths
# Animals
Observed/
Total Initial
Animals
(# Trials)
P vs specified
group
(Logrank)
P vs specified
group
(Wilcoxon) Fig
daf-2(e1368);
nmur-1(ok1387);
osm-6p::nmur-1,
OP50
15.8 ± 0.7 130/336
(2)
0.33daf-2/OP
0.006ok1387*
0.05daf-2/OP
< 0.0001ok1387*
4D daf-2(e1368);
nmur-1(ok1387);
osm-6p::nmur-1,
OP50
21/336 (2) 0.16daf-2/OP
0.65ok1387*
0.08daf-2/OP
0.48ok1387*
4D
LPS-dependence
WT, CS180 13.9 ± 0.3 172/320
(3)
- - 5A$$ WT, CS180 22/320 (3) - - 5A$$
nmur-1(ok1387),
CS180
14.7 ± 0.3 185/300
(3)
0.06WT/CS 0.02WT/CS 5A$$ nmur-1(ok1387),
CS180
18/300 (3) 0.41WT/CS 0.38WT/CS 5A$$
daf-2(e1368),
CS180
23.9 ± 0.5 104/160
(2)
< 0.0001WT/CS < 0.0001WT/CS 5A$$ daf-2(e1368),
CS180
1/320 (3) < 0.0001WT/CS < 0.0001WT/CS 5A$$
daf-2(e1368);
nmur-1(ok1387),
CS180
23.7 ± 0.4 105/160
(2)
0.54daf-2/CS 0.54daf-2/CS 5A$$ daf-2(e1368);
nmur-1(ok1387),
CS180
4/320 (3) 0.29daf-2/CS 0.29daf-2/CS 5A$$
WT, CS2429 14.6 ± 0.3 126/240
(2)
- - 5B WT, CS2429 87/400 (3) - - 5B
nmur-1(ok1387),
CS2429
12.9 ± 0.3 158/220
(2)
0.005WT/CS24 0.0004WT/CS24 5B nmur-1(ok1387),
CS2429
127/380
(3)
0.0002WT/CS24 < 0.0001WT/CS24 5B
daf-2(e1368),
CS2429
25.4 ± 0.7 58/82 (1) < 0.0001WT/CS24 < 0.0001WT/CS24 5B daf-2(e1368),
CS2429
33/400 (3) < 0.0001WT/CS24 < 0.0001WT/CS24 5B
daf-2(e1368);
nmur-1(ok1387),
CS2429
26.7 ± 0.6 50/80 (1) 0.55daf-2/CS24 0.27daf-2/CS24 5B daf-2(e1368);
nmur-1(ok1387),
CS2429
16/400 (3) 0.005daf-2/CS24 0.004daf-2/CS24 5B
daf-16-dependence
WT, OP50 11.6 ± 0.5 136/176
(1)
- - 6A,B WT, OP50 138/352
(2)
- - 6A,B
nmur-1(ok1387),
OP50
9.8 ± 0.4 138/176
(1)
0.003WT/OP < 0.0001WT/OP 6A nmur-1(ok1387),
OP50
149/352
(2)
0.02WT/OP 0.0002WT/OP 6A
daf-16(mu86),
OP50
9.1 ± 0.3 143/176
(1)
< 0.0001WT/OP 0.0001WT/OP 6A daf-16(mu86),
OP50
140/352
(2)
0.08WT/OP
0.0007WT/OP 6A
daf-16(mu86);
nmur-1(ok1387),
OP50
9.2 ± 0.3 142/176
(1)
0.50daf-16/OP 0.83daf-16/OP 6A,B daf-16(mu86);
nmur-1(ok1387),
OP50
149/352
(2)
0.89daf-16/OP 0.75daf-16/OP 6A,B
.CC-BY-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted August 21, 2025. ; https://doi.org/10.1101/2025.08.15.670582doi: bioRxiv preprint
5
Table 1. Continued
Strain/Bacteria:
All deaths
Mean
Lifespan
± SEM
(Days)
# Animals
Observed/
Total Initial
Animals
(# Trials)
P vs specified
group
(Logrank)
P vs specified
group
(Wilcoxon) Fig
Strain/Bacteria:
P deaths
# Animals
Observed/
Total Initial
Animals
(# Trials)
P vs specified
group
(Logrank)
P vs specified
group
(Wilcoxon) Fig
daf-2(e1368),
OP50
18.4 ± 0.7 109/176
(1)
< 0.0001WT/OP < 0.0001WT/OP 6B daf-2(e1368),
OP50
58/352 (2) < 0.0001WT/OP < 0.0001WT/OP 6B
daf-2(e1368);
nmur-1(ok1387),
OP50
21.6 ± 0.6 116/176
(1)
0.008daf-2/OP 0.0004daf-2/OP 6B daf-2(e1368);
nmur-1(ok1387),
OP50
43/352 (2) 0.02daf-2/OP 0.003daf-2/OP 6B
daf-16(mu86);
daf-2(e1368),
OP50
8.9 ± 0.3 120/176
(1)
0.70daf-16/OP 0.44daf-16/OP 6B daf-16(mu86);
daf-2(e1368),
OP50
146/352
(2)
0.22daf-16/OP 0.27daf-16/OP 6B
daf-16(mu86);
daf-2(e1368);
nmur-1(ok1387),
OP50
9.0 ± 0.3 140/176
(1)
0.78daf-16/OP 0.88daf-16/OP 6B daf-16(mu86);
daf-2(e1368);
nmur-1(ok1387),
OP50
161/352
(2)
0.19daf-16/OP 0.35daf-16/OP 6B
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The copyright holder for this preprintthis version posted August 21, 2025. ; https://doi.org/10.1101/2025.08.15.670582doi: bioRxiv preprint
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