The research, helmed by Peter Flood, a postdoctoral fellow at the University of Michigan School for Environment and Sustainability (SEAS), draws attention to a pattern of shrinking fish sizes attributable to ongoing climatic shifts. Using historic data digitized through a pioneering community science initiative, Flood and colleagues document a consistent trend of diminished lengths across numerous species and age classes. Their findings, recently published in the journal Global Change Biology, show that out of 125 species-age groups studied, nearly half exhibited changes in size, with 46 displaying statistically significant reductions.

One of the pivotal technical advancements underpinning this study was the digitization of decades-old field data collected by the Michigan Department of Natural Resources (DNR) and its predecessors, made accessible through the collaborative platform Zooniverse. This crowdsourced effort enabled research teams to efficiently quantify fish sizes and ages from community-curated observation records, unlocking a treasure trove of ecological information that would have otherwise remained inaccessible. This novel approach exemplifies how citizen science can directly empower high-resolution, longitudinal ecological research.

The shrinking size trends identified were especially pronounced in the youngest and oldest fish within the surveyed populations. This is ecologically consequential because both age groups serve critical, yet distinct, roles in sustaining population dynamics and ecosystem functions. Juvenile fish size affects their vulnerability to gape-limited predators—predators restricted by the maximum size of prey their oral cavity can accommodate. Smaller juveniles face elevated predation risks, potentially reducing recruitment and future population stability. Meanwhile, older fish, although less pivotal for reproduction, exert substantial influence over social dynamics and ecological resilience within fish communities, acting as reservoirs of behavioral knowledge and ecosystem regulation.

Beyond ecological ramifications, these shifts in fish body size have profound implications for fisheries management and conservation efforts. Agencies like the Michigan DNR rely heavily on size and catch limits to maintain sustainable fish populations. As climate change alters the expected growth and survival patterns of fish, these management frameworks must adapt to preserve both ecological stability and angling opportunities. Flood emphasizes that understanding size trajectories across age classes equips resource managers with refined tools to anticipate and mitigate climate-driven biological perturbations.

The methodology for aging fish employed in the study involves detailed analysis of scale ring patterns, similar to dendrochronology in trees. As fish grow, their scales develop incremental growth rings that serve as annual markers, enabling precise age determination. This scale-based aging technique, combined with extensive sampling efforts across lakes and timeframes, allowed researchers to stratify size data by fish age, revealing nuanced growth trends obscured in bulk population analyses.

Lead author Flood’s team also benefited from data spanning the Institute for Fisheries Research, a long-standing collaboration between the university and Michigan’s DNR. This partnership has amassed unparalleled records on inland lake fishes, now further enhanced by modern digitization efforts. The continual collection and integration of contemporary data permit ongoing monitoring of population responses in real time, a crucial advantage for adapting to rapid climate shifts.

Senior author Karen Alofs, an associate professor at SEAS, has been instrumental in contextualizing these findings within broader ecological change. Her research integrates historical and present-day population metrics to uncover how warming waters facilitate species shifts, such as increased abundance of warm-adapted largemouth bass, and delayed fish mortality events associated with altered ice phenology. These complementary trends underline the cascading effects of climate change across multiple ecological axes—size, abundance, phenology.

Intriguingly, the study team is now expanding their temporal horizon by incorporating fish specimens from the University of Michigan Museum of Zoology’s extensive collections, which house over 3.5 million global fish specimens. This unique archival resource enables retrospective analyses extending much further back in time and across species less commonly studied due to their minimal commercial importance. Such deep-time perspectives promise to illuminate evolutionary and ecological responses to environmental variability on scales rarely documented in freshwater systems.

While this research spotlights Michigan’s inland lakes, the implications resonate more broadly. Freshwater ecosystems worldwide are vulnerable to climate-driven stressors, with size shifts in fish representing a biomechanistic indicator of environmental change that influences trophic interactions, ecosystem services, and human livelihoods. Flood and colleagues’ study illustrates how historic data, coupled with innovative community science, can transform our understanding of these complex biological responses.

“Fish size is more than a biological trait; it’s a vital signal of ecological health and stability,” Flood notes. “Our findings highlight the urgent need to factor body size dynamics into conservation and management strategies as climate change reshapes aquatic ecosystems globally.” Continued interdisciplinary collaboration, innovative data integration, and public engagement remain critical for advancing this frontier of climate biology.

In conclusion, this comprehensive investigation underscores the multifaceted ways climate change influences fish morphology and community structure across temporal and spatial scales. By leveraging historic records, community science platforms, and museum archives, researchers present a nuanced and compelling narrative of ecological transformation. This emerging knowledge frontier sets the stage for targeted interventions aimed at preserving biodiversity, fisheries productivity, and ecosystem function in a warming world.

Subject of Research: Climate change impacts on fish body size in Michigan’s inland lakes over 75 years

Article Title: Long-term and regional-scale data reveal divergent trends of different climate variables on fish body size over 75 years

News Publication Date: 5-Nov-2025

Web References:

• Peter Flood Lab at SEAS
• Community Science Digitization Project
• Largemouth Bass Abundance Study
• Mass Mortality Timing Study
• UM Museum of Zoology, Division of Fishes
• DOI Link to Published Paper

References:
Flood, P. J., Alofs, K., King, K., Wehrly, K., Schiller, K., Runyon, A. (2025). Long-term and regional-scale data reveal divergent trends of different climate variables on fish body size over 75 years. Global Change Biology. DOI: 10.1111/gcb.70584

Image Credits: Peter Flood

Keywords: Climate change, fish body size, inland lakes, Michigan, fisheries management, long-term ecological data, community science, fish aging, predator-prey interactions, aquatic ecosystems, biodiversity, museum specimens

The inspiration behind this breakthrough arose from a curious clinical observation made by UnCheol Lee, Ph.D., from the Department of Anesthesiology at the University of Michigan. He noted that patients subjected to general anesthesia do not all regain consciousness at the same rate. This variability sparked a question: Could the brain’s recovery from anesthesia—a controlled, induced state of collapse—mirror how economies bounce back after financial shocks such as stock market crashes? Both scenarios involve complex networks tipping into crisis and, crucially, emerging from it. Unraveling whether a unifying framework could model these phenomena became the core focus of their investigation.

Central to this research is the concept of “criticality,” a delicate equilibrium state in which complex systems, whether neural or financial, operate most efficiently. In this finely balanced condition, systems maintain optimal flexibility and responsiveness, which enables adaptive functioning and information processing. However, when this equilibrium is disrupted—due to anesthetic agents in the brain or economic shocks in the market—the system undergoes a phase transition, rapidly shifting into dysfunction or collapse. Understanding the nature of these transitions and their implications for recovery trajectories is essential for anticipating system behavior before a full-blown crisis unfolds.

Phase transitions in physics fall into two classical categories: first-order and second-order transitions. A first-order transition is abrupt and explosive—akin to water freezing into ice. A slight temperature drop can instantly transform the entire system. In contrast, second-order transitions are smooth and gradual. An example is a magnet gradually losing its magnetism as the temperature rises, exhibiting resilience to minor perturbations. Both types of phase transitions characterize how complex networks can either catastrophically collapse or more gently deteriorate, affecting recovery dynamics profoundly.

The University of Michigan team applied this physics framework to both neural activity under anesthesia and financial market performance during economic crises, employing computational modeling to dissect their phase dynamics. Their models aimed to predict whether a network exhibited characteristics of a first-order (explosive) or second-order (gradual) phase transition at tipping points. Networks inclined toward first-order transitions displayed sudden collapses triggered by small disruptions and were slower to recover. On the other hand, second-order transition networks showed slower degradation but were more robust and resilient.

By simulating these networks, the researchers generated time series data reflecting the synchronization dynamics within neural and economic systems. Their analysis revealed a distinguishing feature: networks predisposed to first-order transitions exhibited greater variance in their synchronization patterns. This higher fluctuation signaled a fragile state, prone to abrupt collapse. Harnessing this insight enabled the prediction of network behavior concerning collapse speed and recovery trajectory, providing a predictive tool that transcended disciplinary boundaries.

Testing their model against real-world data, the team analyzed EEG recordings from patients undergoing anesthesia and stock market data from the 2007-2009 Subprime Mortgage Crisis. Striking parallels emerged: brains exhibiting proximity to first-order phase transitions lost and regained consciousness more slowly, mirroring how stock markets near explosive transitions collapsed swiftly and lingered in recovery. Moreover, countries whose markets aligned closer to first-order dynamics tended to be emerging economies with lower GDP per capita, suggesting economic vulnerability intertwined with phase transition characteristics.

This interdisciplinary research pushes the frontier of network science by demonstrating that insights from physics can unify our understanding of complex biological and social systems. Predicting collapse and recovery patterns is not merely an academic exercise; it carries profound practical implications. In healthcare, it promises advancements in anesthetic safety tailored to individual brain dynamics, potentially reducing awareness risks and optimizing recovery times. In economics, it offers a quantitative method to identify vulnerabilities before market meltdowns, enabling policymakers to devise preemptive interventions.

Beyond anesthesia and finance, the underlying principles discovered here could apply to a vastly broader swath of complex systems, including climate networks undergoing abrupt shifts. As climate crises intensify, anticipating tipping points in environmental systems becomes critical. The notion that the same mathematical models describing neurons firing or financial indices fluctuating might also apply to ecological transitions captivates researchers and emphasizes the universality of network collapse phenomena.

George Mashour, M.D., Ph.D., the study’s senior author and founder of the University of Michigan Center for Consciousness, emphasizes the innovative nature of this work. Utilizing network science to explore the shared dynamics of the brain and economic systems has been an aspirational goal of the Center, and this research marks a significant stride toward realizing it. By quantifying how systems synchronize and destabilize, the findings contribute to a growing interdisciplinary dialogue spanning neuroscience, physics, economics, and beyond.

Importantly, this research underscores the value of computational models in bridging seemingly unrelated fields. The ability to abstract key dynamics and apply them across domains exemplifies the power of cross-disciplinary thinking. It invites us to consider other systems—social networks, infrastructure grids, or even pandemics—through the lens of network criticality and phase transitions. Such a lens affords opportunities to design more robust systems capable of withstanding crises and recovering more rapidly.

As this research gains traction, future work will likely refine these models, integrate more granular data, and explore interventions that might shift a network’s proximity away from explosive transitions. In clinical contexts, personalized monitoring could predict anesthetic responsiveness more precisely; in economics, early-warning systems could flag markets on the brink of collapse. Ultimately, understanding the synchronization patterns and their phase transition types could become a cornerstone of managing complex systems safely and proactively.

This pioneering investigation illustrates that the workings of the human brain and the behaviors of global financial networks share more than metaphorical similarities. They resonate with the same underlying physics, exhibiting parallel patterns of collapse and recovery that can be mathematically characterized and anticipated. Such profound interconnectedness opens new pathways for scientific inquiry, promising innovations in medicine, economics, and the stewardship of complex systems facing an increasingly uncertain world.

Subject of Research: Network dynamics of neural and economic systems during crises

Article Title: Proximity to Explosive Synchronization Determines Network Collapse and Recovery Trajectories in Neural and Economic Crises

News Publication Date: 30-Oct-2025

Web References: DOI: 10.1073/pnas.2505434122

Keywords: Network science, Neuroimaging, Anesthesiology, Behavioral economics, Consciousness

Delving into the nuances of social interactions, researchers underscored that the nature of friendships, as well as the type of support exchanged, varies substantially between men and women. Women tend to cultivate friendships grounded in emotional intimacy and conversational depth. Consequently, they frequently offer emotional support to close friends, a behavior deeply entrenched in societal and gender norms. Conversely, men’s friendships are predominantly activity-focused, revolving around shared tasks or outings rather than explicit emotional exchanges, reflecting traditional masculine social scripts.

Intriguingly, the research uncovered a paradoxical emotional toll for older men providing emotional support. Unlike their female counterparts, older men who engaged in emotional caregiving reported a decrease in positive mood on those days. Crystal Ng, a lead researcher at U-M’s Survey Research Center, suggests that this pattern may stem from emotional expression conflicting with conventional masculine identity constructs, possibly generating psychological discomfort or strain in older male caregivers. The findings underscore the psychological complexity and gendered experience embedded within social support systems.

The study involved a robust methodology of experience sampling, where 180 older adults from the Greater Austin area in Texas documented their emotional states and support behaviors every three hours throughout a 5-6 day period. With an average participant age of 74, this granular data collection enabled a detailed examination of the daily fluctuations in mood relative to social support provision. Through this dynamic lens, the researchers could infer real-time emotional impacts, thus overcoming limitations inherent in retrospective self-reports and cross-sectional surveys.

Consistent with societal expectations, emotional support emerged as the predominant form of aid provided by older adults to close friends, closely followed by advice-sharing and practical assistance. This detection challenges stereotypes that older adults are mostly passive recipients of care due to frailty; rather, it affirms their active roles as social contributors and nurturers within their communities. The voluntary nature of friend-based support—as opposed to obligatory familial caregiving—highlights an important dimension of aging defined by choice, autonomy, and reciprocal social engagement.

The implications of these findings extend to the design of interventions aimed at enhancing well-being among America’s rapidly aging populations. Practical, hands-on support activities foster a sense of purpose and agency, bolstering older adults’ self-worth and perceived usefulness—factors increasingly recognized as vital to psychological resilience and longevity. Particularly for older men, interventions that promote active, task-oriented social roles may hold promise in sustaining emotional health without imposing the burdens associated with emotional caregiving.

Ng proposes that aging-related social programs should diversify the forms of engagement they promote. Given the potential emotional cost emotional support can exert on older men, alternative pathways for meaningful social involvement—such as cooperative activities and community projects—may offer protective effects. Moreover, facilitating constructive meaning-making around emotional support exchanges could mitigate distress and cultivate emotional benefits, thereby optimizing psychological outcomes across genders.

This research also pioneers the examination of day-to-day social support within community-dwelling older adults, addressing a knowledge gap in understanding how micro-level social interactions influence mental states over short timeframes. The focus on close friendships represents a novel approach, distinguishing itself from the extensive literature concentrated on familial caregiving dynamics. By emphasizing friend-based interactions, the study recontextualizes aging as an active, socially engaged process shaped by voluntary relationships rather than mere dependency.

Looking ahead, the research team aims to expand inquiry into friendship-based giving beyond emotional and practical supports. Future investigations will explore the motivations underlying caregiving behaviors among older friends and delineate how these relationships contribute to broader caregiving networks. Such research promises to refine theories of social support by incorporating the nuances of peer caregiving and its differentiated impacts on health and well-being.

Ultimately, this study offers compelling evidence that social support in later life is a multifaceted phenomenon with distinct psychological consequences for men and women. It challenges monolithic narratives about aging and caregiving by illustrating that older adults actively shape their social worlds in diverse ways, which in turn reciprocally shape their emotional landscapes. Understanding these gendered patterns is essential for crafting equitable, effective strategies that promote emotional wellness in older adulthood.

The findings resonate beyond academia, urging policymakers, healthcare providers, and community leaders to recognize the heterogeneity of social needs and experiences among older populations. By valuing both practical help and emotional intimacy—while respecting gendered preferences and challenges—societies can better foster inclusivity, dignity, and joy in the golden years. This nuanced perspective paves the way for interventions that truly resonate with lived experiences, enhancing the quality of life for an increasingly diverse aging demographic.

In sum, the University of Michigan’s research illuminates the vital role friendships and the nature of giving support play in shaping emotional well-being among older adults. The gender-specific effects underscore the need for tailored approaches, especially for older men, to maintain positive mood and social connectedness. As aging populations grow globally, such insights become invaluable for designing socially and psychologically astute frameworks that nurture healthy aging across genders.

Subject of Research: Emotional and practical support exchanges among older adults and their impact on daily mood, with a focus on gender differences.

Article Title: Daily Support to Close Friends and Mood Among Older Men and Women

Web References:

• https://journals.sagepub.com/doi/10.1177/01640275251383546
• http://dx.doi.org/10.1177/01640275251383546

References:
Ng, C. et al. (2024). Daily Support to Close Friends and Mood Among Older Men and Women. Research on Aging. DOI: 10.1177/01640275251383546

Keywords:
Social sciences, Psychological science, Social research, Aging, Emotional support, Practical help, Gender differences, Older adults, Well-being, Friendship, Social engagement

The investigation, spearheaded by research associate professor Philip Veliz from the University of Michigan’s School of Nursing, meticulously analyzed data spanning from 2005 to 2023. These data were drawn from the Monitoring the Future Study, a robust, longitudinal annual survey tracking substance use among 8th, 10th, and 12th-grade students. The study’s design allowed for a granular assessment of lifetime medical and nonmedical stimulant use, providing representative insight into evolving patterns amid shifting prescribing practices and societal attitudes.

Medical use of prescription stimulants to manage ADHD symptoms among adolescents showed a slight uptick throughout the studied period, consistent with broader national trends in diagnosis and treatment. Despite this increase in medically supervised use, the crux of the investigation was the fate of nonmedical consumption – usage without prescription or for recreational effects – which the study found to have declined from 10% lifetime prevalence in 2005 down to 6% in 2023. This reduction is particularly striking against the backdrop of rising stimulant availability.

This trend reversal holds significant public health implications. While initial expectations might have predicted a parallel surge in nonmedical use accompanying increased medical prescriptions, the data suggest that adolescent misuse has not only stabilized but diminished substantially. Veliz emphasizes that this development aligns with the hopes of parents and clinicians eager to see controlled prescription use without corresponding misuse escalation, highlighting the effectiveness of nuanced intervention strategies.

Certainty regarding this downward trajectory is strengthened by the consistency of lifetime medical use prevalence, which remained around 8% in both 2005 and 2023. This steadiness, paired with a mild increase in current use, indicates that while more adolescents are responsibly benefitting from stimulants under healthcare supervision, fewer are engaging in unauthorized or recreational use. Such findings challenge the narrative that medical accessibility inevitably fuels misuse, suggesting instead that the two phenomena can diverge significantly with proper public health frameworks.

Researchers posit that several intersecting factors may be driving these positive developments. Enhanced public health messaging targeting the dangers of prescription stimulant misuse, refined prescribing guidelines emphasizing cautious and individualized treatment, and temporary shortages of stimulant medications have all likely contributed to the contraction in nonmedical adolescent use. These factors collectively paint a picture of a healthcare ecosystem progressively better equipped to balance therapeutic access against abuse potential.

Supporting this interpretation is the pattern observed in broader prescription drug misuse trends. Similar declines in nonmedical use have been documented for other controlled substances, including opioids and benzodiazepines, among youth populations. This suggests systemic shifts in both medical practice and cultural perceptions towards prescription drug safety and misuse deterrence, likely reinforced by increased regulatory scrutiny and educational outreach.

The study’s methodological rigor and longitudinal scope provide a compelling evidence base for clinicians and policymakers weighing the risks and benefits associated with stimulant medications. Understanding that medical use and misuse can follow distinct trajectories enables the development of tailored strategies focused on maximizing treatment efficacy while minimizing abuse. Such nuance is essential amid ongoing debates about ADHD diagnosis rates and prescription practices.

Co-authors of the research include notable scholars from multiple institutions, including Sean Esteban McCabe, Vita McCabe, John Jardine from the University of Michigan, Ty Schepis from Texas State University, Emily Pasman from the University of Illinois Chicago, and Timothy Wilens from Massachusetts General Hospital. This collaborative academic effort underscores the interdisciplinary importance of the issue, combining epidemiological, clinical, and pharmacological expertise.

Published in the prestigious Journal of the American Medical Association (JAMA) on July 29, 2025, the study was financially supported by the National Institute on Drug Abuse (NIDA) and the U.S. Food and Drug Administration (FDA). Their investment reflects the critical priority placed on understanding and addressing adolescent substance use as part of broader public health initiatives.

In conclusion, this investigation articulates a cautiously optimistic narrative in adolescent stimulant use dynamics. As prescription rates climb modestly, concurrent declines in misuse reveal the promise of effective public health interventions and evolving clinical practices. These insights pave the way for informed policymaking that safeguards adolescent well-being while ensuring access to needed ADHD treatments, situating the findings at the forefront of contemporary pharmacological research and health policy discourse.

Subject of Research: Patterns of medical and nonmedical use of prescription stimulants among U.S. adolescents
Article Title: Nonmedical use of prescription ADHD drugs among teens has dropped
News Publication Date: 29-Jul-2025
Web References: https://jamanetwork.com/journals/jama/article-abstract/2836875
References: Veliz P, McCabe SE, McCabe V, Jardine J, Schepis T, Pasman E, Wilens T. Trends in Medical and Nonmedical Use of Prescription Stimulants Among US Adolescents. JAMA. 2025; DOI: 10.1001/jama.2025.11260
Keywords: Health and medicine, Drug studies, Illicit drugs, Stimulants, Antihypertensive activity, Adolescents

The impetus for this investigation arose from an intriguing observation that live C. elegans actively avoid areas populated by deceased members of their species. Despite lacking complex sensory organs like eyes, these worms demonstrated a clear preference to distance themselves from corpses within their Petri dish environment. This behavioral aversion suggested the existence of a chemical or molecular cue emitted from dead worms—an elusive “death signal” that these organisms can perceive and react to.

To probe this phenomenon, the research team meticulously designed experiments in which live worms were exposed either to intact worm corpses or to fluid extracts derived from lysed, dead worm cells placed strategically across feeding zones on assay plates. The outcome was striking: live C. elegans exhibited robust avoidance behaviors toward both whole corpses and cell-derived fluids. This demonstrated that soluble factors released upon cell death, rather than merely physical presence or visual cues, underpinned the worms’ recognition of death in their surroundings.

Delving deeper into the physiological implications of death perception, the researchers discovered that contact with these death-associated cues triggered significant biological consequences. Notably, exposed worms displayed a marked increase in reproductive rate over a short term, simultaneously experiencing a premature reduction in overall lifespan. This suggests that sensing death among conspecifics initiates a trade-off strategy where increased reproductive output is prioritized at the expense of longevity, reflecting an adaptive response to environmental threat signals.

Crucially, the team sought to identify the neuronal mechanisms orchestrating death detection in C. elegans. Through systematic evaluation of sensory neuron function, they pinpointed two olfactory neurons—AWB and ASH—as indispensable for mediating death perception. These neurons are known to process environmental chemical information, and their involvement elucidates how C. elegans biochemically ‘smells’ death, integrating external cues into behavioral and physiological adjustments.

At the molecular level, the scientists identified two intracellular metabolites, adenosine monophosphate (AMP) and histidine, as key death signals. These compounds are typically confined within healthy cells but are released extracellularly when cells die and rupture, serving as universal markers of cellular demise. The presence of AMP and histidine outside cells, therefore, acts as a powerful alert mechanism indicating that damage or organismal death has occurred nearby.

The discovery that AWB and ASH neurons detect these normally intracellular metabolites expands our understanding of chemosensation by linking internal cell integrity to community-level signaling. According to Matthias Truttmann, Ph.D., senior author of the study, these metabolites function as “danger-associated molecular patterns” that have been evolutionarily conserved as indicators of cell death. Their release and detection trigger behavioral avoidance and physiological shifts that could be critical for survival and species propagation.

This concept aligns with recent findings in mammalian systems where apoptotic cells release metabolites influencing the gene expression of neighboring tissues. Such cross-kingdom parallels suggest a common biochemical language marking death that spans from simple invertebrates to complex vertebrates. However, the downstream molecular pathways translating death perception into altered physiology remain to be fully characterized in C. elegans and other organisms.

The study’s implications extend beyond fundamental biology to potentially inform biomedical research on aging, stress responses, and population dynamics. Given C. elegans serves as a premier model for studying protein homeostasis and lifespan regulation, understanding how environmental cues like death signals affect these parameters could reveal novel targets for modulating aging and disease.

Moreover, this discovery prompts intriguing ecological questions about how death cues influence collective behavior and population fitness in natural worm communities. Do these signals help maintain colony health by promoting rapid reproduction following local mortality? Might they also contribute to pathogen defense by steering worms away from contaminated or hazardous sites? Unpacking these ecological roles will require further interdisciplinary research integrating behavior, neurobiology, and environmental science.

In conclusion, the identification of death perception mediated by AWB/ASH neurons responding to AMP and histidine positions C. elegans as a compelling model to unravel how organisms interpret and react to the ultimate biological event—death. This research highlights the fundamental importance of chemical signaling in modulating life strategies, illustrating a sophisticated neural and metabolic dance triggered by the demise of conspecifics. As the field advances, exploring the molecular crosstalk between death signals and longevity pathways promises to deepen our grasp of life’s delicate balance between survival and sacrifice.

Subject of Research: Behavioral and physiological responses to conspecific death signals in Caenorhabditis elegans

Article Title: Modulation of C. elegans behavior, fitness, and lifespan by AWB/ASH-dependent death perception

Web References: DOI: 10.1016/j.cub.2025.03.071

References: Truttmann M., Hernandez-Lima M., Seo B., Urban N.D., “Modulation of C. elegans behavior, fitness, and lifespan by AWB/ASH-dependent death perception,” Current Biology, DOI: 10.1016/j.cub.2025.03.071.

Image Credits: Justine Ross/Michigan Medicine

Keywords: Metabolism; Epidemiology; Bacterial pathogens; Invertebrates; Animal models; Ecology; Epigenetics