Abstract
Suspended animation, a state of extreme quiescence with microscopically invisible movement and development, is a remarkable yet poorly understood stress resilience strategy in animals. Here, we describe a newly discovered form of suspended animation inducible by high-population density in isosmotic liquids in C. elegans throughout larval development and adulthood. Transcriptomic, metabolomic and live-cell activity reporter imaging analyses reveal striking molecular and cellular landscape changes by such liquid-induced suspended animation (LISA), including remodeling of gene expression programs, energy metabolites, lysosomal and mitochondrial morphology. Genetic screens identify mutants with altered stress responses and survival against LISA. While key endo-lysosomal regulators promote survival during LISA, organelle remodeling and a neuronal axis via downstream neuropeptide and cAMP/PKA signaling orchestrate behavioral awakening from LISA. Our findings define a facile paradigm for reversible SA, providing a powerful model system to uncover key molecular and cellular mechanisms governing an extreme case of reversible life arrest and dormancy.
Introduction
Animals across diverse phyla have evolved remarkable strategies to endure extreme environmental stress by entering reversible states of dormancy or metabolic suppression1. Among these, suspended animation (SA) is one of the most profound, characterized by a nearly complete cessation of development and microscopically visible behavioral movement while preserving organismal viability2-11. Such states are not only biologically intriguing but also of growing interest for their potential applications in medicine, biotechnology, and space biology, where controlled metabolic arrest and reversible hibernation-like states could extend viability under limiting conditions.
Studies in the multicellular animal model organism Caenorhabditis elegans have provided a mechanistic foundation for understanding SA as an active, regulated response to extreme environmental stress. In seminal work by Padilla, Roth, and colleagues, complete oxygen deprivation (anoxia) was shown to induce a reversible SA state in C. elegans, characterized by a coordinated arrest of development, cell division, motility, and other energy-intensive processes until normoxic conditions are restored7,12. In embryos, anoxia triggers hypometabolism marked by reduced ATP levels and dephosphorylation of cell cycle-regulated proteins, with blastomeres arresting at specific cell cycle phases in a manner that preserves viability and structural integrity. Genetic dissection revealed that components of the spindle assembly checkpoint (e.g., san-1, mdf-2) and nucleoporin-dependent regulation of CDK-1 activity are essential for proper anoxia-induced arrest, underscoring that entry into and exit from SA require specific molecular regulators rather than passive metabolic failure4,13,14. Furthermore, C. elegans demonstrates differential responses to graded oxygen stress: while anoxia elicits behavioral responses and SA independently of the hypoxia-induced transcription factor HIF-1, milder hypoxic conditions engage HIF-1–dependent pathways15-17. Collectively, this literature establishes C. elegans as a tractable model for dissecting the cellular and genetic regulation of SA and situates this state within a broader spectrum of environmentally induced dormancy phenomena.
In C. elegans, the dauer diapause has been extensively studied as an another well-characterized form of developmental arrest or dormancy accompanied by distinctive morphological and behavioral adaptations18-20. However, dauer occurs only during a specific, programmatically defined alternative larval stage and reflects a specialized developmental pathway rather than an arrest inducible across life stages. By contrast, SA describes a more profound and inducible state of reversible arrest in development and motility. Although SA has been documented in various systems, including in nematodes and even select vertebrates2-11, fundamental questions remain regarding molecular, cellular, and physiological regulatory mechanisms. In particular, how animals orchestrate cell quiescence, metabolic reprogramming, and neural activity to achieve a globally suspended yet fully reversible state is not well understood. The diversity of SA induction and mechanisms remain underexplored. Addressing these questions will provide critical insight into core principles of stress resilience and may enable strategies for inducing protective stasis across diverse biological contexts.
Here, we identify static liquid incubation as a previously unrecognized and robust trigger that induces suspended animation in C. elegans. Under this condition, animals rapidly enter a reversible state characterized by coordinated arrest of developmental progression and motility, satisfying established operational criteria for SA. We term this induction paradigm liquid-induced suspended animation (LISA). We systematically define the physiological and temporal features of LISA and uncover key molecular mechanisms governing both survival during arrest and efficient reactivation upon return to favorable conditions. Notably, the entry pathway for LISA appears mechanistically distinct from previously characterized forms of SA or dauer formation, suggesting that multiple upstream cues can converge on a shared reversible arrest program. By leveraging this experimentally tractable system, we provide new insight into how animals dynamically suppress and subsequently restore core life processes, revealing principles underlying reversible metabolic and developmental quiescence.
Results
Physiological specificity and reversibility of suspended animation
In exploring various stress conditions capable of robustly inducing SA in C. elegans, we found that a remarkably simple “standing” procedure, i.e. allowing animals to settle at high population density in isosmotic M9 buffer, independent of food supplementation, was sufficient to trigger this profound quiescent state (Fig. 1a). Within hours of static incubation, larvae exhibited a striking cessation of developmental progression and visible motility, hallmarks of SA, while counterpart control animals maintained in low-density (LD, n = 60 worms) or dispersed (in a roller) conditions continued to develop normally (Fig. 1b). We therefore identify such static liquid incubation as a robust inducer of SA and refer to this induction paradigm as liquid-induced SA (LISA) for clarity. This phenomenon was sharply dependent on population density, with near-complete penetrance observed above a defined threshold (Fig. 1c). Arrested animals retained gross morphology but did not apparently proceed through expected larval developmental transitions, including intestinal endomitosis, seam cell terminal differentiation, or dendrite branching of PVD neurons, as visualized using cell or tissue-specific reporters (Fig. 1d-e and Extended Data Fig. 1a). Notably, LISA was inducible across a wide developmental range, from early larvae to adults, in wild type and mutants for known stress-responding transcription factors, including the hypoxia-inducible factor HIF-1 and heat-inducible HSF-1, suggesting a robust and broad permissive window for entry into LISA (Fig. 1f and Extended Data Fig. 1b). Temporal analyses revealed that LISA onset was progressive and standing duration–dependent, whereas survival remained high even after extended time in LISA (Fig. 1g, h).
Figure 1: High-population density in isosmotic liquids induces suspended animation in C. elegans.
a, Schematic of experimental setup for inducing liquid-induced suspended animation (LISA) in C. elegans larvae and adults under high-population density in isosmotic liquid conditions. b, Representative brightfield images showing cessation of developmental progression during LISA (L4 to L4) but not control (L4 to YA) (n = 20 worms in each of 3 independent experiments). c, Quantification of percentage of LISA (n > 50 animals per condition, N > 3 trials) at different population densities indicated. Ctr: animals maintained on standard solid NGM plates without liquid immersion. n = 60 worms for the LD group. d, Representative fluorescence and brightfield images showing LISA-induced arrest in the proliferation of intestinal cell nuclei, numbers of which were quantified by nuclear histone H2B-marked GFP (n = 15 worms in each of 3 independent experiments). e, Representative fluorescence images showing LISA-induced arrest in seam cell differentiation into hypodermal cells, marked by disappearance of seam cell-expressed NHR-49::GFP (Top to bottom, n = 25, 28, and 25). f, Representative brightfield images showing LISA-induced cessation of developmental progression at various stages indicated (n > 50 worms per condition, N > 3 trials). g, Quantification of percentage of LISA (n > 50 worms per condition, N > 3 trials) with different standing durations indicated. h, Quantification of percentage of survival after different standing durations indicated (n > 500 worms per condition in each test). i, Quantification of percentage of survival after LISA in isosmotic M9 buffer or water only (Left to right, n > 400 worms per condition, with 4 biological replicates for M9 buffer group and 3 for H2O group). j, Quantification of percentage of LISA (n > 50 worms per condition, N > 3 trials) with different medium supplementation conditions indicated. Abbreviations: St,Standing; AA, Amino acid; VB6, Vitamin B6; RT; Room temperature; T, Temperature. k, Representative brightfield images showing recovery following LISA. l, Percentage of animals awakening at different time upon transfer to fresh media (n > 500 worms per condition, N > 3 trials). Data show mean ± s.e.m. (c,d,g,i,j). One-way ANOVA with Tukey’s multiple comparison test (c,d) or Student’s two-tailed unpaired t-test (i,j) were used. P values are indicated. Scale bars, 50 μm (b,d,e,f).
Importantly, we found this arrest response required isosmotic conditions: animals exposed to hypotonic media such as water displayed reduced viability and inconsistent arrest phenotypes (Fig. 1i). Medium supplementation with various amounts of bacterial food, amino acids, or vitamins did not abrogate LISA, while canonical stressors such as starvation, heat shock, or hypoxia alone were insufficient to induce it (Fig. 1j). Dauer-defective mutants, including daf-16 and daf-22 that disrupt dauer stress responses and pheromone pathways21-24, respectively, entered LISA normally, indicating that this phenomenon operates independently of dauer regulatory programs (Extended Data Fig. 1b). Additionally, animals subjected to LISA during larval development exhibited normal post-recovery lifespans and can re-enter LISA upon repeated exposure (Extended Data Fig. 1c, d). After LISA and reintroduction into normal nutrient-rich media, animals exited LISA in a coordinated and timely fashion, resuming development and locomotion with temporal synchrony (Fig. 1k-l). Unlike anoxia-induced embryonic SA, LISA at multiple larval and adult stages in our study is strictly population-density dependent and SAN-1 independent (Fig. 1c, Extended Data Fig. 1g); our method is also easier to set up without using environmental anoxia chamber. In addition, LISA is robust across common cultivation temperatures, genetic backgrounds, buffer compositions, and food availability (Extended Data Fig. 1e-h). Together, these findings define a facile, tunable and robust system for inducing and reversing LISA in C. elegans, establishing a tractable platform for dissecting mechanisms of reversible metabolic suppression.
Molecular and cellular landscape profiling of suspended animation
To elucidate the molecular landscape associated with LISA in C. elegans, we performed transcriptomic profiling of animals subjected to high-density isosmotic LISA. RNA-seq analysis revealed extensive transcriptional reprogramming, with a substantial number of genes either up- or down-regulated in response to LISA (Fig. 2a and Supplementary Table 1). Intriguingly, among the most robustly LISA-induced transcripts were members of the small heat shock protein family, particularly the hsp-16 cluster, whose upregulation was sharply localized to their genomic cluster locus without affecting adjacent genes (Fig. 2b). This transcriptional induction was corroborated by hsp-16p::GFP transcriptional and hsp-16p::hsp-16::mStayGold translational reporter imaging, which showed minimal GFP or mStayGold abundance during LISA but a dramatic increase following recovery, suggestive of a delayed protein translation, rather than contemporaneous, stress response (Fig. 2c and Extended Data Fig. 2a-j). Consistently, this induction was abrogated by hsf-1 RNAi, implicating the canonical heat shock transcription factor HSF-1 in this response25-27 (Extended Data Fig. 2d). The degree of hsp-16 activation was modulated by population density, echoing the physiological parameters that define LISA itself (Extended Data Fig. 2e). RNAi knockdown of the genes encoding the C. elegans homologs of known thermogenic regulators, including UCP-4 or SCA-1 did not affect hsp-16 activation, whereas lower environmental temperature progressively decreased it (Extended Data Fig. 2f, g). In addition, the supernatant from LISA animals at high density was insufficient to induce LISA or hsp-16 reporters of animals at low density (Extended Data Fig. 2k-m), arguing against a stable diffusible pheromone that transduced the population density signal. Together, these findings delineate a distinct LISA-induced transcriptional state, marked by stress-responsive gene expression changes, likely reflecting the organism’s dormant and physiologically primed state.
Figure 2: Transcriptomic, metabolomic and imaging analyses of LISA.
a, Volcano plot for RNA-seq analysis of LISA and control animals (three biological replicates were included for each treatment), showing differentially expressed genes. b, RNA-seq read mapping at the hsp-16 locus, showing drastic up-regulation of the hsp-16 family genes but not their neighbors, after recovery from LISA. c, Representative fluorescence images of C. elegans hsp-16p::GFP transcriptional reporters (driven by the common hsp-16 promoter), confirming drastic up-regulation by LISA after recovery from LISA, but not during LISA (n = 20 worms in each of 3 independent experiments). d, Table listing fluorescent reporters, with LISA effects indicated, for various stress-responding pathways, cellular organelle activities and morphologies (n = 15 worms in each of 3 independent experiments). e-g, Representative confocal images of C. elegans expressing mitochondrial GFP (n = 5 worms in each of 4 independent experiments) or muscle GCaMP reporters (Left to right, n = 13, 15 and 16 worms), showing LISA-induced mitochondrial network remodeling towards increased fission and reduction in mitochondrial calcium levels, reflecting a mitochondrial hypometabolic state. Data show mean ± s.e.m. h, Principal Component Analysis (PCA) of energy and mitochondrial metabolites profiled, including ATP, ADP, AMP, and redox metabolites showing well-separated clusters in control and LISA animals (Four biological replicates were included for each treatment). i, Volcano graph to visualize metabolites analyzed by LC-MS with P value on the y-axis with Fold Change (FC) on the x-axis. Chi-square (χ2 test) test (g, left) or One-way ANOVA with Tukey’s multiple comparison test were used (g, right). P values are indicated. Scale bars, 50 μm (c,e,f).
To further characterize the physiological and metabolic states underpinning LISA, we employed a panel of fluorescent reporters and metabolomic analyses. Systematic imaging of organelle-specific live reporters revealed that LISA triggers pronounced remodeling of the mitochondrial network, favoring vesicular over fused forms, as visualized by mitochondrial matrix-targeted MAI-2::GFP (Fig. 2d, e). This architectural shift was accompanied by a notable reduction in steady-state mitochondrial calcium levels, indicated by GCaMP-based sensors in body wall muscle cells, consistent with a hypometabolic mitochondrial state. We used liquid chromatography-mass spectrometry (LC-MS) based metabolomic profiling to further identify major energy metabolites differentially regulated by LISA (Supplementary Table 2; see Methods). Principal component analysis (PCA) of metabolites, including ATP, ADP, AMP, acetyl-CoA, acetyl-carnitine, and various redox intermediates, showed clear segregation between LISA and control animals, indicating a comprehensive rewiring of cellular bioenergetics (Fig. 2f). We identified differential abundance of multiple metabolites critical to energy and redox homeostasis, including LISA-downregulated acetyl-CoA and ratio of NADH/NAD+, reinforcing the notion of metabolic suppression and adaptation (Fig. 2g and Supplementary Table 2). Additionally, steady-state ATP and its dephosphorylated form AMP/adenosine were slightly up- and downregulated, respectively, reflecting overall reduced bioenergetic demands under LISA (Fig. 2g). Complementary gas chromatography-mass spectrometry (GC-MS) metabolomic profiling of major glycolytic and TCA cycle metabolites and amino acids further supported a stress-adaptive state and hypometabolic signature characterized by elevated succinate and lactate levels (Extended Data Fig. 3 and Supplementary Table 3). Collectively, these data reveal a coordinated cellular and physiological program during LISA that conserves energy, dampens mitochondrial activity and metabolism, and primes the organism for reactivation upon stress release.
Stress-responsive transcriptional and auto-lysosomal programs facilitate survival from suspended animation
To uncover genetic regulators that modulate LISA and organismal survival during this profound quiescent state, we conducted forward genetic screens using ethyl methanesulfonate (EMS) mutagenesis to isolate mutants that either fail to undergo LISA by progression from L4 to adults or undergo LISA but with aberrant activation of the hsp-16p::GFP reporter and increased viability under prolonged LISA. Though we did not obtain fertile mutants that completely failed to undergo LISA so far, we isolated multiple mutants with constitutive hsp-16p::GFP activation and enhanced viability after prolonged LISA (Fig. 3a). Genetic mapping, complementation test and whole genome sequencing identified causal mutant alleles in daf-21, encoding the Hsp90 ortholog28, and lin-61, a chromatin regulator29 (Fig. 3a and Method). We confirmed that backcrossed daf-21 mutants exhibited hsp-16 expression under baseline conditions and showed further exaggerated induction after LISA, coinciding with enhanced survival following extended periods of arrest (Fig. 3b, c). These phenotypes required the heat shock transcription factor HSF-1, as RNAi-mediated knockdown suppressed hsp-16p::GFP up-regulation in both daf-21 and lin-61 backgrounds (Fig. 3d). HSF-1 and the FOXO transcription factor DAF-16 can cooperatively mediate stress-induced gene expression to promote resilience25,30,31. Although hsf-1(sy441) single reduction-of-function mutants32 showed largely normal LISA survival, double gene manipulations revealed synergistic roles for HSF-1 and DAF-16 in LISA survival (Fig. 3e), suggesting they act in coordination and convergent pathways to promote LISA resilience.
Figure 3: Role of stress-responsive pathways in promoting survival during LISA.
a, Schematic of EMS screens for hsp-16p::GFP activators and LISA survivals, resulting in daf-21 and lin-61 mutations. b, Representative fluorescence images of L4-stage C. elegans daf-21 mutants with baseline constitutive hsp-16p::GFP expression and further enhanced response to LISA (for GFP reporter assays, n = 15 worms; for survival assays, n > 500 worms per condition, from 3 independent experiments). c, Quantification of survival rates of C. elegans under different durations of standing, showing enhanced survival rate of daf-21 mutants after prolonged LISA (for GFP reporter assays, n = 15 worms; for the survival assays, n > 500 worms per condition, from 3 independent experiments). d, Representative fluorescence images of young adult-stage C. elegans daf-21 and lin-61 mutants with LISA-induced hsp-16p::GFP suppressed by hsf-1 RNAi (n = 15 worms in each of 3 independent experiments). e, Quantification of survival rates of C. elegans wild type and daf-21, lin-61, hsf-1, and daf-16 mutants with control and RNAi against hsf-1, showing synergistic effects of DAF-16 and HSF-1 in surviving LISA (n > 500 worms per condition in each treatment). f, Representative fluorescence images of C. elegans lysosomal marker nuc-1::mCherry, showing increased lysosomal tubulation by LISA. Quantification of lysosomal tubulation was shown (Left to right, n = 21, 16, 18, and 18). g, Quantification of survival rates of C. elegans wild type and autophagy-lysosomal vps-15, vps-45, rabs-5 and hpo-27 mutants, showing key roles of lysosomal dynamics downstream of HSF-1/DAF-16 in surviving LISA (n > 500 worms per condition in each test). h, Schematic model showing key processes activated by LISA to promote LISA survival. Data show mean ± s.e.m. (c,e,g). Student’s two-tailed unpaired t-test (c,e,g) was used to compare mutant data with WT, and Chi-square test (f) to compare test versus control groups. P values are indicated. Scale bars, 50 μm (c,d,f).
Beyond transcriptional regulation, cellular organelle remodeling processes appeared integral to LISA survival. HSF-1 and DAF-16 can form a co-regulator complex to promote stress resilience and longevity through auto-lysosomal pathways33-35. We next used live imaging of an intestinal lysosomal reporter (nuc-1::mCherry) to monitor LISA-induced lysosomal dynamics and found that LISA triggered marked tubulation of the lysosomal network (Fig. 3f), a morphological signature often associated with stress responses and increased degradative capacity33-35. Genetic disruption of key auto-lysosomal pathway components36-38, including vps-15 (autophagosome formation), vps-45 (autolysosome fusion), and hpo-27 (lysosomal fission), strongly compromised survival, highlighting the functional importance of auto-lysosomal dynamics in sustaining viability during LISA (Fig. 3g). In contrast, despite robust LISA-induced mitochondrial remodeling, including altered morphology across multiple tissues (Extended Data Fig. 4a-f), mutants defective in key mitochondrial fusion and fission genes (fzo-1, mtp-18, drp-1)39-41 displayed little or slightly increased LISA survival (Extended Data Fig. 4g), suggesting that mitochondrial morphologic remodeling may be a correlative rather than crucial feature of LISA resilience. Collectively, these findings reveal a critical axis of stress-responsive transcriptional programs and autophagic-lysosomal remodeling that jointly enable C. elegans to withstand prolonged metabolic stasis during LISA (Fig. 3h).
Neural circuitry orchestrates behavioral awakening from suspended animation
To delineate the neural substrates governing the transition from LISA to behavioral reactivation, we conducted a comprehensive screen across strains perturbed in key neurotransmitter systems, neuropeptides, and defined neuronal subtypes implicated in sensory perception and sleep regulation42-46 (Fig. 4a and Extended Data Fig. 5a). This analysis revealed that the AFD sensory neurons and their postsynaptic partners AIY interneurons are critical for promoting timely awakening (defined as conspicuous locomotion from quiescent behavioral state in LISA upon transfer to normal plate culture conditions, see Methods), whereas the sleep-active RIS interneuron likely exerts an antagonistic role by suppressing arousal. In parallel, we found that neuropeptide signaling via PDF and its receptor PDFR-1 were indispensable for coordinating behavioral recovery from LISA, supporting their previously established roles in promoting behavioral “roaming”47-51. Notably, single-cell RNA-seq datasets52-54 revealed enriched expression of gcy-8, a guanylyl cyclase, in AFD neurons, and pdf-1 in AIY and a few other neurons, supporting their respective roles in a molecularly defined circuit for awakening regulation (Fig. 4b). Indeed, time-lapse imaging of behavioral awakening showed a time-dependent delay of recovery in AFD-ablated or PDF-deficient animals, while ablation of RIS resulted in premature awakening (Fig. 4c and Extended Data Fig. 5b). These behavioral phenotypes suggest a neural antagonism between arousal-promoting and sleep-maintaining pathways in modulating the exit from LISA.
Figure 4: Neural regulation of behavioral awakening upon exit from LISA.

a, Table listing a panel of strains testing the importance of neurotransmitters, neuromodulators, sensory and sleep-regulating neurons in regulating the behavioral awakening from LISA (see also Extended Data Fig. 5). Such candidate screens identify essential roles of AFD and AIY neurons, neuropeptide PDF and its receptor PDFR-1 in promoting awakening from LISA, and sleep-active RIS neurons in suppressing awakening from LISA. b, single-cell RNA-seq dataset showing enriched expression of pdf-1 in AIY neurons and gcy-8 in AFD neurons. c, Time-serial brightfield images and population quantification showing locomotion behavioral recovery post-LISA in wild type and various strains (AFD or RIS-less animals, pdf-1, gcy-8 mutants), indicating differentially altered awakening behaviors after LISA (n = 100-150 worms in each of 3 independent experiments). d, Representative GCaMP fluorescence images and quantification for time-serial calcium levels of all neurons versus AFD neurons during LISA exit in control and LISA animals (0-60 min after LISA) (Left to right, n = 29, 32, 25, 22, 25, and 21). Data show mean ± s.e.m. e, Time-serial brightfield images and population quantification showing locomotion behavioral recovery post-LISA, showing accelerated awakening in animals with acute elevation of cAMP by optogenetic activation through red-light exposure or acy-1 GOF mutants with constitutively elevated cAMP levels (n = 100-150 worms in each of 3 independent experiments). Two-way ANOVA with Bonferroni post-test was used to compare mutant data with WT (c,e) or worms with or without acute cAMP elevation induced by optogenetic activation (e). One-way ANOVA with Tukey’s multiple comparison test was used in (d). P values are indicated. Scale bars, 50 μm (d).
To monitor neural activity dynamics during the transition out of LISA, we employed panneuronal and cell-specific calcium imaging. While global neuronal activity remained largely unchanged during LISA and recovery, we found that both AFD and AIY neurons exhibited marked silencing during LISA, followed by a progressive rise in calcium levels shortly after reintroduction to normal feeding conditions. This coordinated reactivation indicates early engagement of these neurons during awakening (Fig. 4d and Extended Data Fig. 5c, d). cAMP and PKA signaling mediates PDF/PDFR-1 signaling and constitute evolutionarily ancient regulators of awakening in animals43,55-57. To test whether intracellular cAMP/PKA signaling mechanisms were sufficient to modulate awakening, we manipulated cAMP levels via optogenetic activation55 and genetic gain-of-function of adenylyl cyclase (acy-1)58. Both approaches led to precocious behavioral reactivation from LISA (Fig. 4e). However, LISA-induced silencing and reactivation of AFD GCaMP activities were unaltered in PDF-1/PDFR-1 signaling-deficient or cAMP-activated pde-4 mutant animals (Extended Data Fig. 5e), placing peptide/cAMP action downstream or in parallel to AFD. In addition, we found that loss of PDE-4 or the RIS neuron accelerated awakening even in the absence of AFD or AIY neurons (Extended Data Fig. 6), arguing against the AFD-AIY neuronal axis acting downstream of cAMP or the RIS neuron. These results converge on a model in which AFD/AIY neurons act with downstream PDF/PDFR-1 neuropeptide signaling and subsequent cAMP/PKA activation to drive awakening via the motor circuit, while RIS neurons likely provide inhibition to maintain behavioral quiescence. Together, these findings uncover a modular neural circuit and intracellular signaling logic that governs the coordinated resumption of behavioral locomotion following LISA via cAMP/PKA signaling conserved in animals.
To determine whether the mitochondrial and lysosomal dynamics observed during LISA are functionally linked to recovery from LISA, we examined behavioral awakening in mitochondrial and lysosomal mutants. Mutations in the genes eat-3 and fzo-1 essential for mitochondrial fusion caused striking defects in the LISA-induced change of mitochondrial morphology (Extended Data Fig. 4). Correspondingly, we found that eat-3 and fzo-1 mutants also exhibited markedly slower awakening from LISA (Extended Data Fig. 7). Similarly, endo-lysosomal gene mutations in vps-15, vps-45, rabs-5 and hpo-27 led to slower awakening phenotypes (Extended Data Fig. 7). By contrast, mutations in the genes key for mitochondrial fission (mtp-18 LOF, drp-1 LOF) or mitophagy (dct-1 LOF, dct-1 GOF, pdr-1 LOF)59,60 did not apparently affect behavioral awakening post-LISA (Extended Data Fig. 7). Collectively, these results indicate that endo-lysosomal dynamics is functionally important for not only surviving but also awakening from LISA, whereas mitochondrial fusion is selectively required for efficient behavioral reactivation from LISA, potentially by sustaining systemic energy homeostasis needed for the timely engagement of neuro-sensory and arousal-promoting circuits.
Discussion
Our study establishes a robust and physiologically tractable paradigm of reversible liquid-induced suspended animation in C. elegans, induced by a deceptively simple yet highly reproducible condition: settling at high population density in isosmotic liquid. This LISA diverges from previously characterized developmental arrest states such as anoxia-induced SA or dauer. Unlike anoxia-induced SA, our method of inducing LISA does not require cumbersome environmental anoxia chamber, elicits metabolically distinct bioenergetic signature, and involves high-density population crowding. The density requirement suggests a mechanism of a quorum-like, population-density–dependent regulatory process61-63 that await further studies. Dauer occurs only during specific larval stages and involves extensive stage-specific morphogenetic remodeling. Accordingly, LISA in our study does not require specific genes, including san-1 and daf-22 involved in anoxia-induced SA and dauer, respectively. LISA represents a reversible pause of organismal life that largely preserves structural integrity while orchestrating profound molecular, cellular, and behavioral functional reconfigurations. The ability of animals across larval and adult stages to enter and recover from LISA with minimal detrimental sequelae underscores a remarkable plasticity in the face of environmental constraint. While the mechanism of LISA induction remains fully elucidated, our multi-omic profiling and perturbation results together reveal that LISA is not merely a passive shutdown but a highly regulated physiological state marked by stress-responsive gene expression program, energetic reconfiguration, and neuronal orchestration, suggesting the existence of an evolutionarily conserved logic for engaging protective stasis.
Transcriptomic profiling and live reporter analyses of animals undergoing LISA reveal a molecular program dominated by the up-regulation of small heat-shock proteins, particularly hsp-16 family members. This response is driven by HSF-1–dependent transcription during arrest and by post-arrest protein translation, together supporting a protective mechanism that buffers the transition from dormancy to active metabolism and mitigates proteostatic stress during reactivation. Reduced mitochondrial calcium levels and mitochondrial morphological changes further reflect a coordinated entry into hypometabolic stasis, a feature observed across evolutionarily distant organisms that endure extreme environmental duress. Notably, while mitochondrial remodeling is prominent, our data suggest it is dispensable for LISA survival per se, whereas transcriptional and autophagic-lysosomal pathways, particularly those downstream of HSF-1 and DAF-16, are indispensable. These findings echo prior observations that lysosomal dynamics and proteostasis networks are critical to longevity and stress resilience64-66, reinforcing their broader relevance in metabolic arrest biology.
Our genetic screens illuminate additional layers of regulation that confer stress resilience during LISA. Mutant alleles in daf-21 (Hsp90) and lin-61 (a chromatin-associated factor) confer heightened hsp-16 expression and improved viability, implicating molecular chaperone networks and repressive chromatin in modulating the threshold for stress response activation. DAF-21/Hsp90 is a central regulator of protein homeostasis25,30, buffering misfolded and aggregation-prone proteins and stabilizing key signaling components required for stress response pathways. Its well-established role in modulating HSF-1 activity and broader chaperone networks provides a direct framework for how daf-21 perturbation sensitizes animals to stress-responsive gene induction during LISA. In parallel, LIN-61, which binds methylated histones and contributes to transcriptional repression29, likely influences chromatin accessibility and stress-induced transcription, although its precise role during LISA remains to be established.
Beyond cellular and molecular adaptation mechanisms, our work delineates a neural circuit that governs the behavioral reanimation or “awakening” from LISA. AFD sensory neurons and their downstream AIY partners, through PDF neuropeptide and PKA signaling, appear to function as pivotal arousal nodes that promote timely awakening. In contrast, the RIS neuron, known for mediating sleep-like states in C. elegans, acts as a suppressive force to delay reactivation. These findings suggest that LISA exit is not solely governed by passive metabolic recovery but involves a regulated neurobehavioral decision underpinned by antagonistic circuit motifs. The cAMP–PKA axis downstream of AFD-AIY appears to serve as a signaling switch, integrating environmental inputs with internal state to orchestrate behavioral recovery43,55-57. This modular and tunable logic mirrors neuroendocrine mechanisms that control sleep–wake transitions in other animals and torpor in mammals67-69, further emphasizing the deep evolutionary conservation of neural strategies that modulate arousal from torpor or dormancy.
Collectively, our findings establish a minimal and genetically tractable system for inducing and dissecting LISA, an extreme state of dormancy, offering a powerful model to investigate the fundamental principles that enable a multicellular life to pause and restart. The identification of core regulators, from HSF-1/DAF-16–dependent transcriptional circuits to auto-lysosomal and neuropeptidergic pathways, provides critical entry points for further mechanistic interrogation and pharmacological modulation. Although SA or hibernation-like states have not been demonstrated in humans, their feasibility remains an open and discussed possibility11. Given the growing interest in suspended animation and controlled metabolic suppression for organ preservation, trauma recovery, and deep-space travel2-11, our work lays the groundwork for future translational exploration of induced stasis in higher organisms.
Methods
C. elegans strains
C. elegans strains were grown on nematode growth media (NGM) plates seeded with Escherichia coli OP50 at 20 °C with laboratory standard procedures unless otherwise specified. The N2 Bristol strain was used as the reference wild type, and the polymorphic Hawaiian strain CB4856 was used for genetic linkage mapping and SNP analysis70,71. Forward genetic screens after ethyl methanesulfonate (EMS)-induced random mutagenesis were performed as described previously72,73. Approximately 15,000 haploid genomes were screened for dmaIs8 activators and LISA survivors, yielding at least 12 independent mutants. Mutations were identified by whole-genome sequencing and complementation was tested by crossing EMS mutants with daf-21 or lin-61 heterozygous males. Feeding RNAi was performed as previously described74. Transgenic strains were generated by germline transformation as described75. Transgenic constructs were co-injected (at 10 - 50 ng/μl) with dominant unc-54p::mCherry or GFP, and stable extrachromosomal lines of fluorescent animals were established. Genotypes of mutant or transgenic strains used are as follows: RB1391 san-1(ok1580) I, XW9558 hpo-27(tm5336) I, VC1669 aptf-1(gk794) II, CU5991 fzo-1(tm1133) II, EU2959 vps-15(or1235ts) II; unc-119(ed3) III; orIs21, KG518 acy-1(ce2dm) III, LSC27 pdf-1(tm1996) III, LSC39 pdfr-1(lst34) III, PY1589 cmk-1(oy21) IV, IK800 gcy-8(oy44) IV, PR767 ttx-1(p767) V, MT150 egl-3(n150ts) V, DR47 daf-11(m47ts) V, MT14680 cat-2(n4547) II, MT18877 flp-11(n4765) X, OH15422 ceh-14(ot900) X, VC4506 mtp-18(gk5577[loxP + myo-2p::GFP::unc-54 3' UTR + rps-27p::neoR::unc-54 3' UTR + loxP]) X, QJ4134 vps-45(tm246) X; arIs37; jqEx611, KG744 pde-4(ce268) II, AML70 lite-1(ce314) X; wtfIs5, GN112 pgIs2 [gcy-8p::TU#813 + gcy-8p::TU#814 + unc-122p::GFP + gcy-8p::mCherry + gcy-8p::GFP + ttx-3p::GFP], JN579 peIs579 [ttx-3p::casp1 + ttx-3p::Venus + lin-44p::GFP], DMS63 dmaIs8 [hsp-16p::GFP; unc-54p::mCherry] IV, DMS2974 dmaEx814 [hsp-16::hsp-16::mStayGold; unc-54p::mCherry], DMS124 dmaIs8 IV; lin-61(dma19), DMS125 dmaIs8 IV; lin-61(dma20), DMS407 dmaIs8 IV; lin-61(dma114), DMS2958 hsf-1(sy441) I; dmaIs8 IV, KAB122 louIs8 [ges-1p::nuc-1::mCherry::unc-54 3'UTR], RN80 xmSi01 [mai-2p::mai-2::GFP], SJU39 stjEx24[snb-1p:IlaC22/SL2/dsRed; myo-2p:gfp], DCR3055 wyls629 [gcy-8p::GCaMP6s; gcy-8p::mCherry; unc-122p::gfp], DMS3123 pde-4(ce268) II; pgIs2 [gcy-8p::TU#813 + gcy-8p::TU#814 + unc-122p::GFP + gcy-8p::mCherry + gcy-8p::GFP + ttx-3p::GFP], DMS3117 aptf-1(gk794) II; peIs579 [ttx-3p::casp1 + ttx-3p::Venus + lin-44p::GFP], DMS3118 aptf-1(gk794) II, pgIs2 [gcy-8p::TU#813 + gcy-8p::TU#814 + unc-122p::GFP + gcy-8p::mCherry + gcy-8p::GFP + ttx-3p::GFP].
Metabolite extraction and GC-MS analysis
C. elegans L4 larvae from suspended animation and control conditions were harvested and extracted in cold 90% methanol to achieve a final concentration of 80% methanol per pellet. Samples were incubated at −20 °C for 1 hour, centrifuged at 20,000 × g for 10 minutes at 4 °C, and the resulting supernatants were collected. Quality control (QC) samples were generated by pooling equal volumes of extract from all samples; process blanks contained extraction solvent only. All extracts were dried en vacuo and stored until derivatization. Dried extracts were resuspended in 40 μL of 40 mg/mL O-methoxylamine hydrochloride (MOX) in anhydrous pyridine and incubated at 37 °C for 1 hour. Derivatization was completed by automatic addition of 60 μL N-methyl-N-(trimethylsilyl)trifluoroacetamide (MSTFA + 1% TMCS) and further incubation at 37 °C for 30 minutes. One microliter of the derivatized sample was injected into an Agilent 5977B GC-MS system in split mode (5:1 or 50:1, depending on metabolite abundance). Chromatographic separation was performed on a 30 m Zorbax DB-5MS capillary column (Agilent) with helium as the carrier gas at 1 mL/min. The GC oven temperature was held at 60 °C for 1 minute, ramped at 10 °C/min to 325 °C, and held for 10 minutes.
Mass spectra were acquired using Agilent MassHunter and processed with MassHunter Quant. Metabolites were identified using in-house, NIST, and Fiehn libraries, and peak areas were exported for further analysis. Data were filtered based on %CV (<30% in QC samples), QC-to-blank signal ratio (>1.5), and minimal signal intensity (>1000 counts). Statistical analysis was conducted using MetaboAnalystR following log transformation, sum normalization, and Pareto scaling. Principal component analysis (PCA), heatmaps of the top 25 changing metabolites, and volcano plots were used to compare suspended animation versus control groups. Metabolites with fold change >1.5 and raw P value <0.05 were considered significantly altered.
Metabolite extraction for LC-MS analysis
C. elegans L4 larvae subjected to suspended animation or maintained under control conditions were collected, flash frozen, and extracted using a chilled solution of acetonitrile, water, and methanol (14:4:1 v/v) containing 0.1% ammonium hydroxide, 0.3 μM D9-carnitine, 8 μM D4-succinate, and 2.5 μM uniformly labeled amino acids (Cambridge Isotope Laboratories). Samples were vortexed, homogenized in bead mill tubes, chilled at −20 °C, centrifuged (20,000 × g, 10 min, 4 °C), and supernatants were dried under nitrogen. Extracts were reconstituted in 80% acetonitrile with 0.1% ammonium hydroxide and transferred to autosampler vials for LC-MS/MS analysis.
Metabolites were separated on a Waters BEH zHILIC column using a SCIEX 7600 Zeno-ToF mass spectrometer coupled to an Agilent 1290 Infinity II HPLC system in positive ionization mode. Chromatographic separation employed a gradient of buffer A (25 mM ammonium carbonate in water) and buffer B (99% acetonitrile with 5% water). Data were acquired using high-resolution multiple reaction monitoring (MRM^HR), and chromatograms were integrated using SCIEX Analytics software.
Raw data were drift-corrected using the SERRF algorithm, normalized to the internal standard D9-carnitine, log-transformed, and Pareto-scaled for statistical analysis using MetaboAnalystR. Principal component analysis (PCA) was used to assess overall metabolic differences, and differential metabolite abundance was evaluated using volcano plots with thresholds of p < 0.05 and fold change > 1.5. Metabolite identities were confirmed by MS/MS and validated against in-house standards and the Human Metabolome Database (HMDB). Only Level 1 confidence metabolites (confirmed by retention time and reference standard) were included in the final analysis.
Fluorescence microscopy and imaging
SPE confocal (Leica) and epifluorescence compound microscopes were used to capture fluorescence images. Animals were randomly picked at the same stage and treated with 1 mM levamisole in M9 solution (31742-250MG, Sigma-Aldrich), aligned on a 2% agar pad on a slide for imaging. Identical setting and conditions were used to compare experimental groups with control. For quantification of GFP fluorescence, animals were outlined and quantified by measuring gray values using the ImageJ software. The data were plotted and analyzed by using GraphPad Prism.
RNA sequencing
C. elegans N2 animals were maintained at 20 °C. For liquid-induced suspended animation (LISA) treatment, synchronized L4 larvae were either subjected to LISA 12 hours or maintained under control conditions prior to collection. Upon sample collection, animals were washed off NGM plates using M9 buffer, collected into 1.5 ml microcentrifuge tubes, and homogenized using a tissue disruptor. Total RNA was extracted using the FastPure Cell/Tissue Total RNA Isolation Kit V2 (RC112-01, Vazyme) according to the manufacturer’s instructions. RNA quantity and purity were assessed using a NanoDrop spectrophotometer, and RNA integrity was evaluated by agarose gel electrophoresis. For each sample, 1 μg of total RNA was used for sequencing library construction. Four biological replicates were included for each treatment. Sequencing libraries were prepared and sequenced (paired-end, 150 bp) on the DNBseq platform (Innomics).
C. elegans LISA induction, survival and behavioral awakening assays
For the LISA assay, synchronized-stage worms at specific stages were washed off the plate with OP50 as food and collected into a 1.5 mL microcentrifuge tube. For RNAi strains, Day 1 adults (16-24 hours past the L4 stage when RNAi efficiency is sufficient) were used. The worms were washed once with 1 mL of M9 buffer, then the tube was placed on a rack and left to stand at room temperature for the specified duration. Induction of LISA requires high animal density and was less efficient at LD (low density), defined as fewer than 500 animals per 1 mL isotonic liquid buffer. Unless otherwise specified, animal density for most experiments were ≥500 worms/mL. For determining the percentage of LISA, after standing for the designated duration, the M9 supernatant was removed and worms were transferred to a fresh NGM plate using pipette tips pretreated with 5% NP-40. After the residual M9 had evaporated, worms were immediately examined under a standard optical microscope for phenotypes including body length and staging with L4 characterized by the vulva crescent structure. For assessing survival, after a specific duration of LISA, worms were transferred to a fresh NGM plate and scored for survival after 16 h of recovery. Worms exhibiting a rigid, transparent body and an absence of visible pharyngeal pumping were scored as dead. For assaying awakening, approximately 100–150 worms after LISA were transferred using a 20 μl tip (pre-washed with 5% NP-40) and placed at the center of a 35 mm NGM full-lawn plate. The awakening process was recorded using the WormLab imaging system at room temperature. For acute elevation of cAMP via optogenetic activation, worms were transferred to the center of a 35 mm NGM plate immediately after LISA and exposed to red LED at 2100 lux to induce cAMP production. WormLab recordings were taken every 10 min to monitor the awakening process. All awakening videos were analyzed to determine the percentage of awakened worms, defined as the proportion of animals located outside the original population cluster at 0-60 minutes after transfer.
Western blot analysis
L4-stage worms were subjected to one of three conditions: normal growth for 12 h, liquid-induced suspended animation (LISA) for 12 h with OP50, or recovery for 12 h following 12 h of LISA. The indicated genotypic worms were then washed off the plates and collected using M9 solution. Worm samples (approximately 30 μl animals) were lysed in 1× Laemmli sample buffer (Bio-Rad, #1616737) supplemented with DTT (50 mM; RPI, #D11000-10.0). The samples were mixed thoroughly, boiled at 98 °C for 10 min, and vortexed twice during the incubation. GFP and β-tubulin levels were detected by western blotting using a rabbit anti-GFP monoclonal antibody (MP Biomedicals, #L100036) at a 1:10,000 dilution or a rabbit anti-β-tubulin polyclonal antibody (Proteintech, #10068-1-AP) at a 1:1,000 dilution. Blotting membranes (Millipore) were imaged using a ChemiDoc™ Imaging System (Bio-Rad). Band intensities were quantified using ImageJ (NIH). All western blotting experiments were independently repeated at least three times.
Statistics
Numerical data were analyzed using GraphPad Prism 10 Software (Graphpad, San Diego, CA) and presented as means ± S.E.M. unless otherwise specified, with P values calculated by unpaired two-tailed t-tests (comparisons between two groups), one-way ANOVA (comparisons across more than two groups) and two-way ANOVA (interaction between genotype and treatment), with post-hoc Tukey and Bonferroni’s corrections. The lifespan assay was plotted and quantified using Kaplan–Meier lifespan analysis, and P values were calculated using the log-rank test.
Extended Data
Extended data Fig. 1. Characterization of physiological properties of LISA.

a, Representative fluorescence images of C. elegans PVD::GFP reporters, LISA-induced arrest in the 3rd dendrite branching (n = 15 worms). b, Representative brightfield images of L4-stage and adult animals, showing normal LISA induction in wild type, daf-16, hsf-1 and daf-22 mutants (n = 20 worms in each of 3 independent experiments). c, Representative lifespan curves of C. elegans, showing no apparent effect of larval LISA on adult lifespans (n = 55 worms per test). P values are shown. Three independent experiments were performed; mean lifespan (± s.d.) and representative lifespan curves are shown. d, Representative brightfield images of larval-stage and adult animals, showing normal LISA induction following earlier LISA in wild type (n > 500 worms in each independent experiments). e, Representative brightfield images showing normal LISA induction at various indicated temperatures (n > 500 worms in each independent experiments). f, Representative brightfield images showing normal LISA induction with indicated isotonic buffers (n > 500 worms in each independent experiments). g, Representative brightfield images showing normal LISA induction in san-1 or daf-11 mutants (defects in anoxia-induced LISA and dauer diapause, respectively) (n > 500 worms in each independent experiments). h, Representative brightfield images showing normal LISA induction with food deprived during and post standing (n > 500 worms in each independent experiments). In c, the Kaplan–Meier method followed by the log-rank test was used. Scale bars, 50 μm (a, b, d–h).
Extended data Fig. 2. Characterization of hsp-16p::GFP transcriptional and translational reporter up-regulation by LISA.

a, Representative fluorescence images of C. elegans hsp-16p::hsp-16::GFP translational reporters, confirming drastic up-regulation by LISA after recovery from LISA, but not during LISA (n = 15 worms in each of 3 independent experiments). b, Enlarged view of hsp-16p::hsp-16::GFP, showing discrete fluorescent puncta indicated (n = 10). c, Representative fluorescence images of C. elegans transcriptional reporters, showing drastic up-regulation hsp-16p::GFP but not hsp-4p::GFP by LISA after recovery from LISA (n = 15 worms in each of 3 independent experiments). d, Representative fluorescence images of C. elegans hsp-16p::GFP transcriptional reporters, showing drastic up-regulation after recovery from LISA in control but suppressed in hsf-1 RNAi animals (n = 20 worms in each of 3 independent experiments). e, Quantification of hsp-16p::GFP up-regulation after LISA, showing population density dependency as for LISA. f, LISA-induced hsp-16p::GFP up-regulation in control but not suppressed in ucp-4 or sca-1 RNAi animals (n = 15 worms in each of 3 independent experiments). g, Representative fluorescence images showing LISA-induced hsp-16p::GFP up-regulation in 20 °C or 25 °C but suppressed at lower (4 °C or 15 °C) temperature (n = 15 worms in each of 3 independent experiments). h, Representative fluorescence images showing LISA-induced hsp-16p::hsp-16::mStayGold up-regulation post standing. i, Representative Western blot and quantification results showing LISA-induced hsp-16p::GFP up-regulation post standing (n > 500 worms in each of 3 independent experiments). j, Representative Western blot and quantification results showing LISA-induced hsp-16p::hsp-16::mStayGold up-regulation post standing (n > 500 worms in each of 3 independent experiments). k, l, Representative fluorescence (k) and brightfield (l) images showing normal hsp-16p::GFP and LISA induction supplemented with 1x or 5x volumes of supernatants from animals under LISA (n > 500 worms in each independent experiments). m, Representative brightfield images showing normal LISA induction under low density or dispersed rolling conditions (n > 500 worms in each independent experiments). In e, i, and j, one-ANOVA was used to compare all datasets. P values are shown. Scale bars, 50 μm (a–d,f–h,k–m).
Extended data Fig. 3. Characterization of LISA-induced metabolomic phenotypes.
a, GC-MS metabolomic analysis, showing LISA-induced up-regulation of metabolites including succinate and lactate, consistent with a hypometabolic state indicated by LC-MS profiling of energy metabolites. Shown are metabolites with differential abundance by LISA, with P value < 0.05 and fold change > 1.5, raw adjusted. b, PCA of LISA-regulated metabolites measured by GC-MS. Four biological replicates were included for each treatment (a,b).
Extended data Fig. 4. Characterization of LISA-induced mitochondrial phenotypes.
a, Representative confocal fluorescence images of C. elegans mai-2::GFP translational reporters, showing drastic mitochondrial morphological remodeling in multiple tissues, including intestine, hypoderm and muscles, by LISA and after recovery from LISA (n = 5 worms in each of 3 independent experiments). b, Representative confocal fluorescence images of C. elegans myo-3p::mito::GFP translational reporters, showing drastic mitochondrial morphological remodeling in body wall muscles, by LISA and after recovery from LISA (Left to right, n = 18, 20, 20). White and red arrowheads indicate tubular and fragmented mitochondria, respectively. c, Quantification of LISA-induced mitochondrial morphological remodeling. d, Representative confocal fluorescence images of C. elegans mai-2::GFP translational reporters, showing suppressed mitochondrial morphological remodeling in eat-3 and fzo-1 mutants by LISA (Left to right, n = 6, 7, and 7 (for eat-3) and 5, 6, and 5 (for fzo-1) in each of 3 independent experiments). e, Representative confocal fluorescence images of C. elegans mai-2::GFP translational reporters, showing largely normal mitochondrial morphological remodeling in drp-1 and mtp-18 mutants by LISA (Left to right, n = 5, 6, and 5 (for drp-1) and 5, 5, and 5 (for mtp-18) in each of 3 independent experiments). f, Quantification of mitochondrial remodeling defects of mutants indicated. g, Quantification of survival rates of mutants indicated, suggesting a non-essential role of mitochondrial remodeling in surviving LISA (n > 500 worms in each independent experiment). Data show mean ± s.e.m. Chi-square (χ2 test) test (c,f) or Student’s two-tailed unpaired t-test was used to compare mutant data with WT (g). P values are indicated. Scale bars, 50 μm (a,b,d,e).
Extended data Fig. 5. Characterization of LISA awakening regulation by various neurons and molecules.

a, Time-serial brightfield images showing locomotion behavioral recovery post-LISA in wild type and various strains indicated, including AFD, ALA and AIY neuron ablation mutants, neuropeptide mutants and dopamine-deficient cat-2 mutants. GABA and glutamate neurotransmitter mutants were excluded owing to baseline locomotion defects. b, Population quantification of (A) and [gcy-8p::ICE; myo-2::mCherry] array+ and array− animals (with or without genetic ablation of AFD, respectively) (n = 100-150 worms in each of 3 independent experiments). c, Schematic of AIY neuron. Black arrows indicate the soma and axon. Image adapted from WormAtlas (www.wormatlas.org). d, Representative GCaMP fluorescence images and quantification of time-series calcium activity in AIY neurons and all neurons during LISA and following recovery, demonstrating profound LISA-induced neuronal silencing and reactivation of AIY neurons. Arrows indicate the soma and axon. (Left to right, n = 8, 7, and 4). Data show mean ± s.e.m. e, Representative AFD::GCaMP fluorescence images for time-serial calcium levels during LISA exit in cAMP-overproducing pde-4(LOF) mutants, or PDF signaling defective pdf-1(LOF) and pdfr-1(LOF) mutants, showing LISA-induced silencing and reactivation of AFD neurons as in wild type (n = 5 worms in each of 3 independent experiments).Two-way ANOVA with Bonferroni post-test was used to compare mutant data with WT or worms with or without AFD ablation (b) or one-way ANOVA with Tukey’s multiple comparison test was used in (d). P values are indicated. Scale bars, 50 μm (d,e).
Extended data Fig. 6. Loss of PDE-4 or the RIS neuron is dominant over the absence of AFD or AIY neurons in promoting awakening.
a, Time-serial brightfield images showing behavioral recovery post-LISA in wild type and various strains indicated, including cAMP-overproducing pde-4 mutants, RIS-deficient aptf-1 mutants, with the genetic ablation of AFD or AIY using caspase expression. b, Population quantification of (A) (n = 100-150 worms in each of 3 independent experiments). Two-way ANOVA with Bonferroni post-test was used to compare mutants with WT (b). P values are indicated.
Extended data Fig. 7. Characterization of LISA awakening phenotypes of mitochondrial and lysosomal mutants.
a, Time-serial brightfield images showing behavioral recovery post-LISA in various strains indicated, including mitochondrial fusion-related eat-3, fzo-1, lysosomal dynamics-related vps and hpo-27, and mitophagy-related dct-1 (LOF and GOF) and pdr-1 mutants (n = 100-150 worms in each of 3 independent experiments). b, Population quantification of (A). c, Table listing a panel of strains to test the importance of mitochondrial fusion mutants and endo-lysosomal gene mutations in regulating the behavioral awakening from LISA. Two-way ANOVA with Bonferroni post-test was used to compare mutant data with WT (b). P values are indicated.
Supplementary Material
Supplementary Table 1.
RNAseq analysis of LISA.
FPKM (Fragments Per Kilobase of transcript per Million mapped reads) and TPM (Transcripts Per Million mapped reads) gene expression values of all C. elegans genes are shown for L4 control, control with mock recovery, LISA and LISA with recovery groups (three biological triplicates each).
Supplementary Table 2.
LC-MS analysis of LISA.
LC-MS metabolite abundance data normalized to internal standards are shown and checked for quality control from control and LISA samples (four biological triplicates each).
Supplementary Table 3.
GC-MS analysis of LISA.
GC-MS metabolite abundance data normalized to internal standards are shown and checked for quality control from control and LISA samples (four biological triplicates each).
Extended data Figure 1 to 7
Supplementary Table 1 to 3
Acknowledgment
Some strains were provided by the Caenorhabditis Genetics Center (CGC), which is funded by the NIH Office of Research Infrastructure Programs (P40 OD010440), and by Drs. Peter Douglas, Henrik Bringmann, Daniel Colón-Ramos, Noelle L'Etoile, Rosa E. Navarro González, Josh Kaplan, Matt Nelson, and Xiaochen Wang. We also thank the C. elegans Reverse Genetics Core Facility (University of British Columbia), National Bioresource Project (Tokyo Women’s Medical University), Wormbase.org (NIH grant #U24 HG002223 to P. Sternberg), Wormatlas.org (NIH grant #OD010943 to D.H. Hall.), wormseq.org (Dr. E. O’Rourke), Aging Atlas (Dr. M. Wang) and CenGen for invaluable resources. The work was supported by NIH grants (R35GM139618 to D.K.M.), AHA (24TPA1288391) and 2025 UCSF PBBR New Frontier Research Award (D.K.M.)
Footnotes
Competing interests
The authors declare no competing interests.
Data availability
RNA-seq data have been deposited in the Gene Expression Omnibus (GEO) under accession number GSE320035. All other data supporting the findings of this study, as well as reagents generated and/or analyzed during the current study, are provided and available from the corresponding author upon reasonable request.
References
- 1.Storey K. B. & Storey J. M. Aestivation: signaling and hypometabolism. J Exp Biol 215, 1425–1433 (2012). [DOI] [PubMed] [Google Scholar]
- 2.Bennett A. F. Suspended animation: metabolic arrest and the control of biological time. Science 236, 1003 (1987). [DOI] [PubMed] [Google Scholar]
- 3.Padilla P. A. & Roth M. B. Oxygen deprivation causes suspended animation in the zebrafish embryo. Proc Natl Acad Sci U S A 98, 7331–7335 (2001). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Nystul T. G., Goldmark J. P., Padilla P. A. & Roth M. B. Suspended animation in C. elegans requires the spindle checkpoint. Science 302, 1038–1041 (2003). [DOI] [PubMed] [Google Scholar]
- 5.Nystul M. B. R. and Buying T. Time in Suspended Animation. Scientific American https://www.scientificamerican.com/article/buying-time-in-suspended/ (2005). [Google Scholar]
- 6.Blackstone E., Morrison M. & Roth M. B. H2S induces a suspended animation-like state in mice. Science 308, 518 (2005). [DOI] [PubMed] [Google Scholar]
- 7.Padilla P. A. & Ladage M. L. Suspended animation, diapause and quiescence: arresting the cell cycle in C. elegans. Cell Cycle 11, 1672–1679 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Horikawa M., Fukuyama M., Antebi A. & Mizunuma M. Regulatory mechanism of cold-inducible diapause in Caenorhabditis elegans. Nat Commun 15, 5793 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.van der Weijden V. A. et al. FOXO1-mediated lipid metabolism maintains mammalian embryos in dormancy. Nat Cell Biol 26, 181–193 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Singh P. P. et al. Evolution of diapause in the African turquoise killifish by remodeling the ancient gene regulatory landscape. Cell 187, 3338–3356.e30 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Choukèr A., Bereiter-Hahn J., Singer D. & Heldmaier G. Hibernating astronauts-science or fiction? Pflugers Arch 471, 819–828 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Padilla P. A., Nystul T. G., Zager R. A., Johnson A. C. M. & Roth M. B. Dephosphorylation of cell cycle-regulated proteins correlates with anoxia-induced suspended animation in Caenorhabditis elegans. Mol Biol Cell 13, 1473–1483 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hajeri V. A., Little B. A., Ladage M. L. & Padilla P. A. NPP-16/Nup50 function and CDK-1 inactivation are associated with anoxia-induced prophase arrest in Caenorhabditis elegans. Mol Biol Cell 21, 712–724 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Hajeri V. A., Stewart A. M., Moore L. L. & Padilla P. A. Genetic analysis of the spindle checkpoint genes san-1, mdf-2, bub-3 and the CENP-F homologues hcp-1 and hcp-2 in Caenorhabditis elegans. Cell Div 3, 6 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ghose P., Park E. C., Tabakin A., Salazar-Vasquez N. & Rongo C. Anoxia-reoxygenation regulates mitochondrial dynamics through the hypoxia response pathway, SKN-1/Nrf, and stomatin-like protein STL-1/SLP-2. PLoS Genet 9, e1004063 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ma D. K. et al. Cytochrome P450 drives a HIF-regulated behavioral response to reoxygenation by C. elegans. Science 341, 554–558 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Powell-Coiman J. A. Hypoxia signaling and resistance in C. elegans. Trends Endocrinol Metab 21, 435–440 (2010). [DOI] [PubMed] [Google Scholar]
- 18.Fielenbach N. & Antebi A. C. elegans dauer formation and the molecular basis of plasticity. Genes Dev 22, 2149–2165 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Cassada R. C. & Russell R. L. The dauerlarva, a post-embryonic developmental variant of the nematode Caenorhabditis elegans. Dev Biol 46, 326–342 (1975). [DOI] [PubMed] [Google Scholar]
- 20.Golden J. W. & Riddle D. L. A pheromone influences larval development in the nematode Caenorhabditis elegans. Science 218, 578–580 (1982). [DOI] [PubMed] [Google Scholar]
- 21.Ogg S. et al. The Fork head transcription factor DAF-16 transduces insulin-like metabolic and longevity signals in C. elegans. Nature 389, 994–999 (1997). [DOI] [PubMed] [Google Scholar]
- 22.Ludewig A. H. & Schroeder F. C. Ascaroside signaling in C. elegans. WormBook 1–22 (2013) doi: 10.1895/wormbook.1.155.1. [DOI] [Google Scholar]
- 23.Lin K., Dorman J. B., Rodan A. & Kenyon C. daf-16: An HNF-3/forkhead family member that can function to double the life-span of Caenorhabditis elegans. Science 278, 1319–1322 (1997). [DOI] [PubMed] [Google Scholar]
- 24.Butcher R. A. et al. Biosynthesis of the Caenorhabditis elegans dauer pheromone. Proc Natl Acad Sci U S A 106, 1875–1879 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lazaro-Pena M. I. et al. HSF-1: Guardian of the Proteome Through Integration of Longevity Signals to the Proteostatic Network. Front Aging 3, 861686 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Baird N. A. et al. HSF-1-mediated cytoskeletal integrity determines thermotolerance and life span. Science 346, 360–363 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Brunquell J., Morris S., Lu Y., Cheng F. & Westerheide S. D. The genome-wide role of HSF-1 in the regulation of gene expression in Caenorhabditis elegans. BMC Genomics 17, (2016). [Google Scholar]
- 28.Taipale M., Jarosz D. F. & Lindquist S. HSP90 at the hub of protein homeostasis: emerging mechanistic insights. Nat Rev Mol Cell Biol 11, 515–528 (2010). [DOI] [PubMed] [Google Scholar]
- 29.Harrison M. M., Lu X. & Horvitz H. R. LIN-61, one of two Caenorhabditis elegans malignant-brain-tumor-repeat-containing proteins, acts with the DRM and NuRD-like protein complexes in vulval development but not in certain other biological processes. Genetics 176, 255–271 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Somogyvári M., Gecse E. & Sőti C. DAF-21/Hsp90 is required for C. elegans longevity by ensuring DAF-16/FOXO isoform A function. Sci Rep 8, 12048 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Hsu A.-L., Murphy C. T. & Kenyon C. Regulation of aging and age-related disease by DAF-16 and heat-shock factor. Science 300, 1142–1145 (2003). [DOI] [PubMed] [Google Scholar]
- 32.Hajdu-Cronin Y. M., Chen W. J. & Sternberg P. W. The L-type cyclin CYL-1 and the heat-shock-factor HSF-1 are required for heat-shock-induced protein expression in Caenorhabditis elegans. Genetics 168, 1937–1949 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Sun Y. et al. Lysosome activity is modulated by multiple longevity pathways and is important for lifespan extension in C. elegans. Elife 9, e55745 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Kumsta C., Chang J. T., Schmalz J. & Hansen M. Hormetic heat stress and HSF-1 induce autophagy to improve survival and proteostasis in C. elegans. Nat Commun 8, 14337 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Villalobos T. V. et al. Tubular lysosome induction couples animal starvation to healthy aging. Nat Aging 3, 1091–1106 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Li L. et al. The HEAT repeat protein HPO-27 is a lysosome fission factor. Nature 628, 630–638 (2024). [DOI] [PubMed] [Google Scholar]
- 37.Cook A. S. I. et al. Structural pathway for PI3-kinase regulation by VPS15 in autophagy. Science 388, eadl3787 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Frey L. et al. Mammalian VPS45 orchestrates traiicking through the endosomal system. Blood 137, 1932–1944 (2021). [DOI] [PubMed] [Google Scholar]
- 39.Westermann B. Mitochondrial fusion and fission in cell life and death. Nat Rev Mol Cell Biol 11, 872–884 (2010). [DOI] [PubMed] [Google Scholar]
- 40.Campbell D. & Zuryn S. The mechanisms and roles of mitochondrial dynamics in C. elegans. Semin Cell Dev Biol 156, 266–275 (2024). [DOI] [PubMed] [Google Scholar]
- 41.Valera-Alberni M., Yao P., Romero-Sanz S., Lanjuin A. & Mair W. B. Novel imaging tools to study mitochondrial morphology in Caenorhabditis elegans. Life Sci Alliance 7, e202402918 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Ferkey D. M., Sengupta P. & L’Etoile N. D. Chemosensory signal transduction in Caenorhabditis elegans. Genetics 217, iyab004 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Trojanowski N. F. & Raizen D. M. Call it Worm Sleep. Trends Neurosci 39, 54–62 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Bringmann H. Sleep-Active Neurons: Conserved Motors of Sleep. Genetics 208, 1279–1289 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Nath R. D., Chow E. S., Wang H., Schwarz E. M. & Sternberg P. W. C. elegans Stress-Induced Sleep Emerges from the Collective Action of Multiple Neuropeptides. Curr Biol 26, 2446–2455 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Goodman M. B. & Sengupta P. How Caenorhabditis elegans Senses Mechanical Stress, Temperature, and Other Physical Stimuli. Genetics 212, 25–51 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Watteyne J., Chudinova A., Ripoll-Sánchez L., Schafer W. R. & Beets I. Neuropeptide signaling network of Caenorhabditis elegans: from structure to behavior. Genetics 228, iyae141 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Janssen T. et al. Functional characterization of three G protein-coupled receptors for pigment dispersing factors in Caenorhabditis elegans. J Biol Chem 283, 15241–15249 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Meelkop E. et al. PDF receptor signaling in Caenorhabditis elegans modulates locomotion and egg-laying. Mol Cell Endocrinol 361, 232–240 (2012). [DOI] [PubMed] [Google Scholar]
- 50.Chen D., Taylor K. P., Hall Q. & Kaplan J. M. The Neuropeptides FLP-2 and PDF-1 Act in Concert To Arouse Caenorhabditis elegans Locomotion. Genetics 204, 1151–1159 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Flavell S. W. et al. Serotonin and the neuropeptide PDF initiate and extend opposing behavioral states in C. elegans. Cell 154, 1023–1035 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Taylor S. R. et al. Molecular topography of an entire nervous system. Cell 184, 4329–4347.e23 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Ghaddar A. et al. Whole-body gene expression atlas of an adult metazoan. Sci Adv 9, eadg0506 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Packer J. S. et al. A lineage-resolved molecular atlas of C. elegans embryogenesis at single-cell resolution. Science 365, eaax1971 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Cianciulli A. et al. Interneurons Regulate Locomotion Quiescence via Cyclic Adenosine Monophosphate Signaling During Stress-Induced Sleep in Caenorhabditis elegans. Genetics 213, 267–279 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Wang Y. et al. Postsynaptic competition between calcineurin and PKA regulates mammalian sleep-wake cycles. Nature 636, 412–421 (2024). [DOI] [PubMed] [Google Scholar]
- 57.Schuck R., Cianciulli A., Buerkert T., Li E. & Nelson M. Measuring the cAMP/PKA signaling pathway in stress-induced sleep using C. elegans as a model organism. The FASEB Journal 32, 533.83–533.83 (2018). [Google Scholar]
- 58.Saifee O., Metz L. B., Nonet M. L. & Crowder C. M. A gain-of-function mutation in adenylate cyclase confers isoflurane resistance in Caenorhabditis elegans. Anesthesiology 115, 1162–1171 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Valenci I., Yonai L., Bar-Yaacov D., Mishmar D. & Ben-Zvi A. Parkin modulates heteroplasmy of truncated mtDNA in Caenorhabditis elegans. Mitochondrion 20, 64–70 (2015). [DOI] [PubMed] [Google Scholar]
- 60.Gutiérrez-Pérez P. et al. miR-1 sustains muscle physiology by controlling V-ATPase complex assembly. Sci Adv 7, eabh1434 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Cm W. & Bl B. Quorum sensing: cell-to-cell communication in bacteria. Annual review of cell and developmental biology 21, (2005). [Google Scholar]
- 62.M de B. & Ci B. Natural variation in a neuropeptide Y receptor homolog modifies social behavior and food response in C. elegans. Cell 94, (1998). [Google Scholar]
- 63.Ds P. Social and sexual behaviors in C. elegans: the first fifty years. Journal of neurogenetics 34, (2020). [Google Scholar]
- 64.Lapierre L. R. & Hansen M. Lessons from C. elegans: signaling pathways for longevity. Trends Endocrinol Metab 23, 637–644 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Savini M., Zhao Q. & Wang M. C. Lysosomes: Signaling Hubs for Metabolic Sensing and Longevity. Trends Cell Biol 29, 876–887 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Murley A. & Dillin A. Macroautophagy in quiescent and senescent cells: a pathway to longevity? Trends Cell Biol 33, 495–504 (2023). [DOI] [PubMed] [Google Scholar]
- 67.Hrvatin S. et al. Neurons that regulate mouse torpor. Nature 583, 115–121 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Melvin R. G. & Andrews M. T. Torpor induction in mammals: recent discoveries fueling new ideas. Trends Endocrinol Metab 20, 490–498 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Takahashi T. M. et al. A discrete neuronal circuit induces a hibernation-like state in rodents. Nature 583, 109–114 (2020). [DOI] [PubMed] [Google Scholar]
- 70.Brenner S. The genetics of Caenorhabditis elegans. Genetics 77, 71–94 (1974). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Davis M. W. et al. Rapid single nucleotide polymorphism mapping in C. elegans. BMC Genomics 6, 118 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Ma D. K. et al. Acyl-CoA Dehydrogenase Drives Heat Adaptation by Sequestering Fatty Acids. Cell 161, 1152–1163 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Ma D. K., Vozdek R., Bhatla N. & Horvitz H. R. CYSL-1 interacts with the O2-sensing hydroxylase EGL-9 to promote H2S-modulated hypoxia-induced behavioral plasticity in C. elegans. Neuron 73, 925–940 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Kamath R. S. & Ahringer J. Genome-wide RNAi screening in Caenorhabditis elegans. Methods 30, 313–321 (2003). [DOI] [PubMed] [Google Scholar]
- 75.Mello C. C., Kramer J. M., Stinchcomb D. & Ambros V. Eiicient gene transfer in C.elegans: extrachromosomal maintenance and integration of transforming sequences. EMBO J. 10, 3959–3970 (1991). [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplementary Table 1.
RNAseq analysis of LISA.
FPKM (Fragments Per Kilobase of transcript per Million mapped reads) and TPM (Transcripts Per Million mapped reads) gene expression values of all C. elegans genes are shown for L4 control, control with mock recovery, LISA and LISA with recovery groups (three biological triplicates each).
Supplementary Table 2.
LC-MS analysis of LISA.
LC-MS metabolite abundance data normalized to internal standards are shown and checked for quality control from control and LISA samples (four biological triplicates each).
Supplementary Table 3.
GC-MS analysis of LISA.
GC-MS metabolite abundance data normalized to internal standards are shown and checked for quality control from control and LISA samples (four biological triplicates each).
Data Availability Statement
RNA-seq data have been deposited in the Gene Expression Omnibus (GEO) under accession number GSE320035. All other data supporting the findings of this study, as well as reagents generated and/or analyzed during the current study, are provided and available from the corresponding author upon reasonable request.







