Biology subjects

Adams, G.

Publications and source records attributed to Adams, G..

15 recordsLinked to original sources

bioRxiv2026

Toward A Whole-Brain Interface Enabled by High-Resolution Surface Electrophysiology

The goal of building a whole-brain interface - capable of generating a real-time digital representation of the state of the entire central nervous system - has long been framed as a hardware challenge of recording simultaneously from ever-larger numbers of microelectrodes. Advances in high-resolution neural interfaces now enable electrophysiologic interaction with the human nervous system at spatial and temporal resolutions previously unattainable without disrupting tissue architecture or physiology. These capabilities create new opportunities for mechanistic neuroscience, neuroprosthetics, and precision-guided neurosurgery. With the advent of modern microelectrode array technology, however, the whole-brain interface has also become a data challenge. Rather than pursuing large-scale human brain recording purely through a single device placed in a single patient, we demonstrate here that systematic multi-subject aggregation, across brain regions and behavioral paradigms, in a common anatomical framework, can achieve something functionally similar to a whole-brain interface. Here we present an approach to a functional atlas of the human central nervous system derived from high-resolution surface electrophysiology recordings obtained in the first 70 patients implanted with an anatomically conformal, thin-film neural interface positioned in more than 100 locations. The atlas comprises >100,000 electrode deployments and catalogs placement across a broad range of neuroanatomic targets spanning the motor, sensory, language, auditory, and associative domains, as well as brainstem and spinal cord structures that have historically been difficult to access at high electrophysiologic resolution. Across participants, aggregated recordings reveal somatotopic organization, including digit representations that follow a lateral-to-medial ordering consistent with classical homuncular maps, with transitions between adjacent representations occurring over spatial scales of approximately 0.8 - 2.0 mm; canonical frequency-band signatures, such as movement-related beta-band suppression and focal high-gamma (70 - 200 Hz) increases during motor and speech behaviors; and task-modulated population dynamics in both evoked and spontaneous activity across cortical, brainstem, and spinal cord regions. These findings yield insight into patterns of mesoscale electrophysiological dynamics conserved across the entire human central nervous system, suggesting that fine-scale functional organization is preserved across individuals when aligned to common anatomical landmarks. We further demonstrate several applications of these high-resolution recordings, including real-time neural decoding from upper extremity motor cortex to enable real-time neuroprosthetic control, and from ventrolateral cortex to decode cortical correlates of spoken language, facial movements, and complex facial expressions of emotion, supporting initial feasibility of combined verbal and nonverbal communication interfaces. Together, these results establish a paradigm for approaching large-scale interfaces with the human brain, as well as a starting point for a scalable, extensible atlas of human electrophysiologic function designed to accelerate discovery across basic neuroscience, translational research, and clinical neurotechnology.

neuroscience↗

bioRxiv2026

Intravital microscopy and statistical image analysis of early engraftment of haematopoietic stem cells reveal dynamic and evolving cellular behaviours linked to progressive differentiation.

Haematopoietic stem cells (HSCs) have long been used in the clinic for bone marrow transplantation applications, critical for the survival of an increasingly wide range of patients with haematological, oncological and immunological pathologies. Despite this, little is known about the mechanisms through which relatively few stem cells are able to regenerate the entire haematopoietic tissue of transplant recipients. To gain insights on this biological process, we used intravital microscopy of calvarium bone marrow, collecting tissue-wide images and a total of 850 hours of tracks of engrafting haematopoietic stem and progenitor cells from 24 hours to 8 days following injection in lethally irradiated recipients. Analysis of the data revealed that regenerating HSCs and their immediate progeny are highly dynamic, migrating through the parenchyma at both the microscopic and near-macroscopic scales, i.e. within and in-and-out of fields of view. HSC-derived cell clusters, expanded locally between day 2 and day 4 post-transplant, leading to patches of densely populated bone marrow by day 8. Single cell level analysis highlighted increasingly heterogenous cellular behaviours over time. Track clustering based on migration and niche interaction parameters combined with post-tracking whole mount immunostaining revealed that persistence in the vicinity of nestin-GFP perivascular cells and relatively slow movement correlated with stemness, while more heterogeneous niche interactions coupled with slowest or faster migration correlated with differentiation, validated through flow cytometry analysis and functional studies. The findings presented here shed light on the fundamental principles driving haematopoietic regeneration in transplantation settings.

developmental biology↗

bioRxiv2026

Subtype-specific differences in susceptibility to monoclonal antibodies and vaccines among contemporary RSV-A and RSV-B isolates

Respiratory syncytial virus (RSV) continues to circulate at high levels despite the introduction of new monoclonal antibodies (mAbs) and vaccines targeting the prefusion F (pre-F) protein. We analyzed the viral genome sequences of 133 RSV clinical samples collected during the 2022-2023 and 2023-2024 seasons, and selected representative isolates for phenotypic testing. We selected four RSV A and four RSV B replication-competent, sequence-verified stocks that were assessed for replication kinetics in vitro and neutralization sensitivity by a panel of F-targeting mAbs and polyclonal sera using a rabbit vaccination model. Isolates retained sensitivity to all mAbs tested. We detected no mutations in mAb binding sites in the isolates tested. RSV-A isolates were slightly less susceptible to multiple mAbs than RSV-B isolates. Antigenic cartography revealed a separation of antibody responses by subtype: RSV-A isolates clustered together and aligned with lower neutralization by antibodies such as MPE8 and 101F, whereas RSV-B isolates formed a distinct cluster associated with higher mAb susceptibility. In a rabbit vaccination model, RSV-A-only sera efficiently neutralized all RSV-A isolates and the RSV-B1 reference strain but showed diminished activity against contemporary RSV-B isolates. RSV-B-only sera displayed balanced neutralization across both subtypes. Combined RSV-A+B immunization produced uniformly strong responses to all isolates, suggesting that multivalent exposure may overcome subtype-specific antibody polarization. Collectively, our results demonstrate consistent antigenic divergence of RSV subtypes and underscore the importance of considering genetic and phenotypic divergence for F-directed immunoprophylaxis. ImportanceRSV remains a major cause of lower respiratory tract infections. Although new mAbs and vaccines have been approved in recent years, the impact of circulating genetic diversity on these therapeutics is incompletely understood. In this study, we demonstrate how recent RSV isolates respond to a panel of mAbs and whether sera from rabbits vaccinated with mRNA vaccines effectively neutralize these isolates. We reveal that RSV-A isolates are more resistant to neutralization by mAbs than RSV-B isolates, and the bivalent vaccine elicits broader neutralizing responses than the monovalent vaccine. This study provides insights into how viral diversity may influence antibody-mediated protection and suggests that recent RSV-B isolates may respond differently from the laboratory-adapted strains commonly used in research.

microbiology↗

bioRxiv2026

Equilibration-free cryopreservation of beef and bison semen

Conventional semen cryopreservation involves equilibration at 4{degrees}C and optimum freezing rates. We hypothesized that a cholesterol-based semen extender obviates the need for equilibration, minimizing total processing time for semen cryopreservation. Experiments were conducted to determine the effects of semen extender (egg yolk- or cholesterol-based) and freezing method (routine or fast) on post-thaw sperm characteristics and fertility of beef and bison semen. In Experiment 1, beef semen diluted in tris-egg yolk-glycerol (TEYG) or cholesterol-cyclodextrin tris-glycerol (CCTG) extender underwent routine or fast freezing method. Cholesterol from animal and plant origins were compared. The routine method included 90-min equilibration at 4{degrees}C and routine freezing (RE-RF, total time 97 min) whereas the fast method included no equilibration and fast freezing (NE-FF, total time 14 min). Post-thaw sperm quality was assessed by CASA, and in vitro fertilization. Post-thaw sperm motility was not affected by the origin of cholesterol (animal or plant), but was lowest in the TEYG NE-FF group (24% vs 43-51%, P < 0.05). In vitro cleavage and blastocyst development rates did not differ between RE-RF and NE-FF groups. In Experiment 2, bison semen was diluted in TEYG or plant-CCTG extender and frozen as in Experiment 1. Post-thaw sperm motility was lowest in the TEYG NE-FF group (10% vs 39-51%, P < 0.05). In Experiment 3, beef semen diluted in TEYG or plant-CCTG extender underwent either a routine (RE-RF) or modified freezing (NE-RF, total time 25 min) method. Post-thaw sperm characteristics did not differ between extenders but were greater using routine freezing (RE-RF) compared to the modified method of freezing (NE-RF). Pregnancy rates were similar between extenders (TEYG vs plant-CCTG) using the modified freezing method without equilibration and insemination at 72 h after progesterone device removal. In conclusion, beef and bison semen diluted in cholesterol-based extender may be cryopreserved without equilibration.

cell biology↗

bioRxiv2026

AI for Fisheries Science: Neural Network Tools for Forecasting, Spatial Standardization, and Policy Optimization

The development of Artificial Intelligence (AI) presents novel opportunities for tackling complex marine resource management challenges. Among AI models, neural networks are a powerful class of tools capable of learning nonlocal and lagged patterns from fisheries data as well as approximating nonlinear relationships among multiple latent variables using estimation methods that automatically implement statistical shrinkage. This gives them potential to effectively handle data obtained from fisheries populations subject to dynamic environments. We highlight two flexible subclasses and one application of neural networks: Long Short-Term Memory (LSTM) and Convolutional Neural networks (CNNs) and policy discovery via Reinforcement Learning. LSTMs are designed to handle sequential data by allowing prediction from past values at both short and long time-lags. CNNs are not explicitly designed to handle temporal information, but can interpolate a spatial latent variable based on its value within a geographic neighborhood, and can be combined with LSTM models for this purpose. This "Food for Thought" paper introduces and applies these neural network approaches, both alone and in combination, to demonstrate their potential application for several foundational topics in fisheries science: 1) the forecasting of population weight-at-age, 2) the standardization of spatio-temporal indices of relative abundance, and 3) the discovery of harvest policies to optimize catches and maintain spawning biomass. Each section provides a simple, simulated example and describes the tradeoffs - particularly the lack of inferential capability - presented by using neural networks over traditional approaches for each topic. We then outline medium-term research questions that may clarify, facilitate or qualify the applicability of these tools to fisheries management science. Finally, we discuss how future combinations of these approaches could result in simplified ways to estimate and forecast stock biomass and provide harvest advice.

ecology↗

bioRxiv2026

Rapid Cas13a-based penA genotyping for cefixime susceptibility in Neisseria gonorrhoeae

BackgroundAntimicrobial resistance in Neisseria gonorrhoeae is an urgent public health threat. Resistance-guided therapy can assure appropriate treatment and reintroduce alternative therapeutic options by identifying genetic predictors of resistance. Mosaicism at codons 375-377 of the penA gene are associated with cefixime resistance. Rapid, field-deployable assays for predicting cefixime susceptibility are lacking. MethodsWe used a machine-learning algorithm to develop a CRISPR Cas13a-based assay to detect the absence of mosaicism at codons 375-377 of the penA gene combined with isothermal amplification in a single reaction. We integrated the assay onto a portable fluorescence-based platform. We evaluated performance using cultured isolates and compared results with PCR genotyping and phenotypic antimicrobial susceptibility testing. We also assessed feasibility of reagent lyophilization for cold-chain-independent deployment. ResultsAmong 40 N. gonorrhoeae isolates, the Cas13a penA assay demonstrated 100% concordance with PCR genotyping and 92{middle dot}5% (95% CI 79.6-98.4%) concordance with phenotypic cefixime susceptibility. Median time to detection was 12 minutes (IQR 5 minutes). The lyophilized detection system detected all 12 isolates with a median time to detection of 45{middle dot}0 minutes (IQR 40-45) compared to 45{middle dot}0 minutes (IQR 35-50) for the positive aqueous control, although peak fluorescence was higher for the aqueous control (p<0.01). ConclusionThe Cas13a assay was rapid and demonstrated strong correlation with genotypic and phenotypic cefixime susceptibility in N. gonorrhoeae, while a lyophilized assay retained functionality.

bioengineering↗

bioRxiv2026

Repeatable, low-drift recordings in behaving non-human primates using flexible microelectrodes

Neurophysiological recordings from non-human primates (NHPs) have traditionally relied on rigid microelectrode arrays made from stainless steel or silicon. While these devices enable high-quality recordings, a fundamental mechanical mismatch between rigid materials and soft brain tissue leads to inflammation, gliosis, and signal instability. In particular, brain micromotion causes continuous drifting of neurons relative to fixed electrodes, compromising single-unit tracking during both chronic and acute recordings. Flexible, penetrating electrodes offer a promising solution, but their adoption in NHPs has been hindered by the technical challenges of delivering ultra-thin polymers through thick dura mater. Here, we demonstrate a comprehensive approach for acute, repeated recordings in awake, behaving NHPs using flexible arrays. We fabricated a microelectrode array that spans cortical layers with 32 cellular-scale recording sites embedded in 7 m-thick Parylene-C. We developed a novel "telescopic" insertion method that combines concentric guide tubes with a retractable microwire shuttle. Our technique is compatible with standard chronic recording chambers and allowed for repeated penetration of free-floating arrays through intact dura over weeks without the need for a new craniotomy. Across two awake rhesus macaques, we optimized the electrode geometry and insertion procedure to achieve an 80% single-unit recording success rate. As animals performed an oculomotor delayed response task, we recorded task-responsive neurons from prefrontal and posterior parietal cortex with stable single-unit activity throughout 1-2-hour behavioral sessions. Critically, by comparing our flexible arrays to rigid probes in the same animals and recording chambers, we provide quantitative evidence that flexible electrodes reduce total single-unit drift from hundreds to tens of microns. Our work establishes flexible microelectrode arrays as a practical, dependable technology for NHP neuroscience and paves the way toward long-term, ultra-stable neurophysiology in large animal models.

neuroscience↗

bioRxiv2025

Suppression rather than activation of the integrated-stress-response (GCN2-ATF4) pathway extends lifespan in the fly

Stress response pathways are emerging as conserved modulators of lifespan. The prevailing hypothesis is that activation of stress responsive pathways, including the amino acid deprivation arm of the integrated stress response (ISR; the GCN2-ATF4 pathway) is pro-longevity. Activation of ATF4 orthologs extends lifespan in Saccharomyces cerevisiae (yeast) and Caenorhabditis elegans, but its role in other longer-lived organisms remains unclear. We comprehensively tested the role of the GCN2-ATF4 pathway in the fly (Drosophila melanogaster) for the first time. We used conditional genetic manipulation of dGCN2 and its downstream effector Drosophila ATF4 (crc; dATF4). In contrast to previous studies, we show that overexpression of dGCN2 and dATF4 significantly reduces lifespan, while knockdown (in vivo RNAi) of dATF4 extends lifespan. We confirmed dATF4 activity was successfully modulated using a fluorescent dATF4 activation reporter. Borrelidin, a tRNA synthetase inhibitor, significantly reduced lifespan in a both dATF4 and diet-dependent manner, independent of microbial load, showing our modulation of dATF4 altered nutrient to ISR signalling. We further conducted long-read RNA sequencing and found that our manipulation of dATF4 changed global transcription in opposite directions, including known ATF4 target genes. Enrichment analysis revealed that dATF4 overexpression may drive metabolic stress, while dATF4 knockdown upregulates proteostasis and DNA repair pathways. Our work reveals that ATF4 exhibits a dual, dose- and context-dependent role in ageing. Chronic dATF4 activation is detrimental in flies, while chronic suppression is pro-longevity. The GCN2-ATF4 pathway thus qualifies as a modifiable control of lifespan with cross-species relevance.

physiology↗

bioRxiv2023

Temporal dynamics of hippocampal activity predict stable patterns of sensitization or habituation to noxious stimulation across sessions.

Acute pain serves to warn an organism of potential damage. When nociceptive stimulation persists, two possible responses emerge: If no risk of harm is anticipated, habituation may occur. If harm is considered possible, pain sensitization is likely. An individuals adaptation to prolonged pain may provide insight into their ability to manage resources, and possibly their likelihood of developing chronic pain. Yet, little is known about the stability of these individual differences or their underlying neural mechanisms. Eighty-five participants undertook a repetitive noxious stimulation task and a resting-state scan in an MRI scanner, in a first session. They then completed the same task outside the scanner on three separate days. Pain adaptation was operationalized as the slope of change in pain ratings within session. Intraclass correlations were calculated between slopes across the four sessions, which demonstrated high stability and association with emotional disposition. Individuals who habituated to repeated stimuli showed increasing activity in the anterior hippocampus and amygdala, while individuals who sensitized showed increasing activity in the sensorimotor cortices. These clusters were then used as seeds in resting state analysis, with habituation associated with higher functional connectivity between hippocampus/amygdala and ventromedial prefrontal cortex(vmPFC), and higher connectivity between sensorimotor regions and the hippocampus, amygdala and insula cortex. Our findings suggest that pain adaptation is a stable phenotypic trait, which may have implications for the prediction of chronic pain. This study implicates neural sensory and appraisal systems in these stable responses, offering insight into the mechanisms underlying trait-like responses to prolonged nociceptive input.

neuroscience↗

bioRxiv2022

A practical extraction and spatial statistical pipeline for large 3D bioimages

ABSTRACT/SUMMARYDespite much being known about the molecular regulation of hematopoiesis, little is understood about how hematopoietic cells are organized within bone marrow (BM) tissue. Recent advances in microscopy have led to the creation of increasingly detailed images of murine hematopoietic tissue. Accurate, efficient, and informative methodologies to extract and analyze the large amount of data generated are, however, still lacking. Indeed, cells are very densely packed in the bone marrow and therefore difficult to efficiently and accurately segment. In addition, currently employed statical analyses of cellular localization are generally unsuitable for the investigation of interactions between more than two cell types. To overcome these limitations, we developed PACESS, a readily applicable method based on neural network classification of hundreds of thousands of cells in thick 3D bone marrow samples, and a combination of statistical techniques to assess the spatial interactions between multiple cell types. To validate this approach, we used it to investigate the spatial organization of T cells, megakaryocytes and leukemic cells. We demonstrate that the presence of large clusters of leukemic cells affects the distribution of both T cells and megakaryocytes, albeit differently, resulting in the generation of previously unrecognized, unique microenvironments adjacent to each other within the same bone marrow cavity. We believe that this approach can contribute to unravel the BM cellular organization. MOTIVATIONThe organization of diverse hematopoietic cells within bone marrow tissue remains unclear. Recently developed tissue clearing methods enable the generation of large, 3D, single cell resolution microscopy images datasets, but the bottleneck in their analysis lies in both the identification and classification of cells, and in statistical analyses to probe their spatial relationships. We present a workflow (PACESS) that takes advantage of a convoluted neural network to identify and classify cells in 2D coupled with an automated method that extrapolates to 3D, followed by a combination of spatial statistics to classify tissue regions based on each cell types density, and logistic regression to test whether the relative abundance of cell types may be explained by reciprocal dependencies. Finally, we provide a combined measurement of the abundance of all cell types in a 3D map, highlighting regional variations found within the tissue. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=195 SRC="FIGDIR/small/521787v3_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@4bcae8org.highwire.dtl.DTLVardef@1f676bcorg.highwire.dtl.DTLVardef@1ed38d3org.highwire.dtl.DTLVardef@12de53b_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2021

Heterogeneous run-and-tumble motion accounts for transient non-Gaussian super-diffusion in haematopoietic multi-potent progenitor cells

Multi-potent progenitor (MPP) cells act as a key intermediary step between haematopoietic stem cells and the entirety of the mature blood cell system. Their eventual fate determination is thought to be achieved through migration in and out of spatially distinct niches. Here we first analyze statistically MPP cell trajectory data obtained from a series of long time-course 3D in-vivo imaging experiments on irradiated mouse calvaria, and report that MPPs display transient super-diffusion with apparent non-Gaussian displacement distributions. Second, we explain these experimental findings using a run-and-tumble model of cell motion which incorporates the observed dynamical heterogeneity of the MPPs. Third, we use our model to extrapolate the dynamics to time-periods currently inaccessible experimentally, which enables us to quantitatively estimate the time and length scales at which super-diffusion transitions to Fickian diffusion. Our work sheds light on the potential importance of motility in early haematopoietic progenitor function.

biophysics↗

bioRxiv2021

DNA spike-ins enable confident interpretation of SARS-CoV-2 genomic data from amplicon-based sequencing

The rapid global spread and continued evolution of SARS-CoV-2 has highlighted an unprecedented need for viral genomic surveillance and clinical viral sequencing. Amplicon-based sequencing methods provide a sensitive, low-cost and rapid approach but suffer a high potential for contamination, which can undermine lab processes and results. This challenge will only increase with expanding global production of sequences by diverse research groups for epidemiological and clinical interpretation. We present an approach which uses synthetic DNA spike-ins (SDSIs) to track samples and detect inter-sample contamination through a sequencing workflow. Applying this approach to the ARTIC Consortiums amplicon design, we define a series of best practices for Illumina-based sequencing and provide a detailed characterization of approaches to increase sensitivity for low-viral load samples incorporating the SDSIs. We demonstrate the utility and efficiency of the SDSI method amidst a real-time investigation of a suspected hospital cluster of SARS-CoV-2 cases.

molecular biology↗

bioRxiv2020

Enhanced virus detection and metagenomic sequencing in patients with meningitis and encephalitis

Meningitis and encephalitis are leading causes of central nervous system (CNS) disease and often result in severe neurological compromise or death. Traditional diagnostic workflows largely rely on pathogen-specific diagnostic tests, sometimes over days to weeks. Metagenomic next-generation sequencing (mNGS) is a high-throughput platform that profiles all nucleic acid in a sample. We prospectively enrolled 68 patients from New England with known or suspected CNS infection and performed mNGS from both RNA and DNA to identify potential pathogens. Using a computational metagenomic classification pipeline based on KrakenUniq and BLAST, we detected pathogen nucleic acid in cerebrospinal fluid (CSF) from 22 subjects. This included some pathogens traditionally diagnosed by serology or not typically identified in CSF, including three transmitted by Ixodes scapularis ticks (Powassan virus, Borrelia burgdorferi, Anaplasma phagocytophilum). Among 24 subjects with no clinical diagnosis, we detected enterovirus in two subjects and Epstein Barr virus in one subject. We also evaluated two methods to enhance detection of viral nucleic acid, hybrid capture and methylated DNA depletion. Hybrid capture nearly universally increased viral read recovery. Although results for methylated DNA depletion were mixed, it allowed detection of varicella zoster virus DNA in two samples that were negative by standard mNGS. Overall, mNGS is a promising approach that can test for multiple pathogens simultaneously, with similar efficacy to pathogen-specific tests, and can uncover geographically relevant infectious CNS disease, such as tick-borne infections in New England. With further laboratory and computational enhancements, mNGS may become a mainstay of workup for encephalitis and meningitis. ImportanceMeningitis and encephalitis are leading global causes of central nervous system (CNS) disability and mortality. Current diagnostic workflows remain inefficient, requiring costly pathogen-specific assays and sometimes invasive surgical procedures. Despite intensive diagnostic efforts, 40-60% of people with meningitis or encephalitis have no clear cause of their CNS disease identified. As diagnostic uncertainty often leads to costly inappropriate therapies, the need for novel pathogen detection methods is paramount. Metagenomic next-generation sequencing (mNGS) offers the unique opportunity to circumvent these challenges using unbiased laboratory and computational methods. Here, we performed comprehensive mNGS from 68 patients with suspected CNS infection, and define enhanced methods to improve the detection of CNS pathogens, including those not traditionally identified in the CNS by nucleic acid detection. Overall, our work helps elucidate how mNGS can become a mainstay in the diagnostic toolkit for CNS infections.

neuroscience↗

bioRxiv2020

Integrated sample inactivation, amplification, and Cas13-based detection of SARS-CoV-2

The COVID-19 pandemic has highlighted that new diagnostic technologies are essential for controlling disease transmission. Here, we develop SHINE (SHERLOCK and HUDSON Integration to Navigate Epidemics), a sensitive and specific integrated diagnostic tool that can detect SARS-CoV-2 RNA from unextracted samples. We combine the steps of SHERLOCK into a single-step reaction and optimize HUDSON to accelerate viral inactivation in nasopharyngeal swabs and saliva. SHINEs results can be visualized with an in-tube fluorescent readout -- reducing contamination risk as amplification reaction tubes remain sealed -- and interpreted by a companion smartphone application. We validate SHINE on 50 nasopharyngeal patient samples, demonstrating 90% sensitivity and 100% specificity compared to RT-PCR with a sample-to-answer time of 50 minutes. SHINE has the potential to be used outside of hospitals and clinical laboratories, greatly enhancing diagnostic capabilities.

bioengineering↗

bioRxiv2019

The hidden costs of dietary restriction: implications for its evolutionary and mechanistic origins

Dietary restriction (DR) consistently and universally extends health-and lifespan across taxa. Despite efforts to uncover the mechanisms underpinning DR - and ultimately translate its beneficial outcomes to humans - precise and universal mechanisms have not been identified. In biomedical science, the effects of DR are interpreted as regulating pro-longevity molecular pathways. This reasoning is guided by the conviction that DR evolved as an adaptive, pro-longevity physiological response to restricted food intake. Current evolutionary theory states that organisms should invest in their soma more heavily during periods of DR, and, when their resource availability improves, should outcompete age-matched rich-fed controls in survival and/or reproduction. Here we present a formal test of these key predictions utilising a large-scale demographic approach detailing mortality and fecundity in Drosophila melanogaster fed alternating dietary regimes (N > 66,000 flies across 11 genetic lines). Our experiments reveal surprising and substantial mortality costs when returning to a rich diet after periods of DR. These results suggest the effects of DR are not necessarily intrinsically pro-longevity and could be considered an escape from costs incurred under nutrient-rich conditions, in addition to novel, discrete costs associated with restricting dietary protein. These insights question the relevance of current evolutionary explanations of DR in interpreting the mechanistic basis of dietary restriction.

evolutionary biology↗