Biology subjects

Brown, T.

Publications and source records attributed to Brown, T..

At least 19 recordsLinked to original sources

bioRxiv2026

Testing The Protective Function of Flash Coloration Using Wild Avian Predators

Many prey reveal conspicuous color patches during movement that become concealed when they stop. Such abrupt changes in appearance have been proposed to disrupt predator tracking and make prey more difficult to relocate, providing the basis of the flash coloration hypothesis. However, empirical support remains inconsistent and comes largely from experiments using human observers or simplified artificial prey. Here, we used touchscreen-equipped operant chambers to test the flash coloration hypothesis with wild blue tits (Cyanistes caeruleus) searching for moving digital prey modelled on Catocala moths. The digital prey revealed either conspicuous or cryptic hindwings during flight before adopting a cryptic resting appearance. Contrary to predictions, conspicuous hindwings neither increased prey survival nor delayed prey relocation compared to moths with cryptic hindwings. However, conspicuous hindwings also did not incur detectable predation costs. In contrast, background strongly affected prey detection, with moths surviving better on realistic bark than on smooth grey backgrounds. Our results provide no evidence that conspicuous colors revealed during movement enhance prey survival in this context, suggesting that any protective effect attributed to flash coloration may be weak or strongly dependent on ecological conditions.

animal behavior and cognition↗

bioRxiv2026

Combining 3D-multispectral and hyperspectral imaging to identify environmental stress treatments imposed during plant growth

Non-invasive, high-throughput phenotyping tools are needed that can identify environmental effects on plant structure and function to diagnose factors responsible for reduced growth in commercial and non-commercial settings. In this study, we explored whether the integration of 3D-multispectral (3D) and 2D-hyperspectral imaging (HSI), aided by machine learning (ML), could be used to identify environmental stress treatments imposed during plant growth. Controlled environment-grown Nicotiana Benthamiana plants were subjected to a range of abiotic treatments - including different growth irradiances, heat treatment and drought stress - with the treatments resulting in differences in shoot height, biomass, leaf area and spectral reflectance. ML models were trained to identify these treatments using morphological and spectral traits measured at 27, 29, 31, and 34 days after sowing (DAS). A 3D-multispectral scanner was used to obtain information on plant height, biomass, and leaf area. A visible and near-infrared (VNIR) HSI camera provided detailed spectral information for deriving spectral indices including the Normalised Difference Vegetation Index (NDVI), Photochemical Reflectance Index (PRI) and Normalized Difference Red Edge (NDRE). Manual measurements provided baseline comparative data. The 3D-multispectral scanner reliably estimated above-ground traits, with high correlations between manual and scanner-derived measurements. The ML models accurately differentiated among environmental stress treatments, with the fused 3D+HSI model achieving the best overall predictive performance across all evaluated metrics compared with models based on either imaging modality alone. Results demonstrated the effectiveness of combining 3D-multispectral and 2D-HSI data with ML analyses for non-destructive, high-throughput phenotyping. The integration of these techniques enabled non-destructive, high-throughput identification of environmental stress treatments imposed during plant growth.

plant biology↗

bioRxiv2026

Integrated genomics and transcriptomics reveal mechanisms of extreme dietary adaptation in vampire bats

Vampire bats are the only tetrapods that feed exclusively on blood. To uncover the molecular basis of this extreme dietary specialization, we generated six new reference genomes, including genomes of all three vampire bat species, and integrated comparative analyses of gene sequence evolution (selection signatures, duplications, and losses) with transcriptomic data from six major organs to identify shifts in gene expression. Our integrative analyses reveal sequence or expression changes in 150 genes that illuminate the genetic mechanisms underlying sanguivory. Through comparative analyses and experiments, we show that the enlarged vampire bat stomach has increased connective tissue content enabling extreme expansion, is pH-neutral, and exhibits reduced mucus production, together providing molecular insights into its shift from a digestive to an absorptive organ for water, electrolytes, and vitamins. We further uncover pathway-level molecular changes underlying altered gastrointestinal motility; trypsin-dependent protein digestion; upregulated amino acid catabolism with key aspects diverging from other mammals; impaired dietary fat digestion counterbalanced by increased fatty acid synthesis; defective sugar metabolism and natural insulin deficiency; enhanced heme iron absorption; and adult splenic erythropoiesis. Together, these findings reveal the molecular adaptations that enable one of the most extreme dietary transitions among vertebrates.

evolutionary biology↗

bioRxiv2026

The Vertebrate Genomes Project Phase I: A global reference genome resource

The Vertebrate Genomes Project (VGP) aims to produce complete and near-error-free reference genomes for all [~]70,000 extant vertebrate species1. Organized in four phases, it progressively targets all vertebrate orders, families, genera, and eventually all species. Here we present the completion of VGP Phase I, delivering reference genomes for [~]95% of vertebrate orders, along with additional lineages within those orders, totaling 816 species and 1.6 trillion base pairs of main haplotype sequence. These genomes were assembled and annotated over an 8-year period (2018-2026) of rapid advances in genome sequencing, assembly, and annotation methods2-4, alongside the growth of associated consortium initiatives and international collaborations5-9. They represent some of the highest-quality vertebrate genomes currently available, and most have become the primary reference for their respective species in public databases. Comparative analyses across a subset of 579 species when we reached a threshold of 85% of orders allowed us to reconstruct the genome of the last common ancestor of all vertebrates 500 million years ago, identify diverse modes of sex chromosome evolution, reveal clade-specific three-dimensional genome architecture, discover methylated epigenetic landscapes across vertebrates, and provide a framework for studying gene and pseudogene evolution, immune loci, cancer-associated genes, and other trait-associated loci. Approximately a quarter of this subset are listed as Vulnerable to Critically Endangered by the IUCN Red List of Threatened Species, and have enabled more advanced genomic investigations of extinction risk. VGP Phase I delivers a reference backbone for vertebrate genomics, enabling discoveries that would otherwise remain out of reach across evolution, conservation, and medicine. Talking pointsO_LIThe flagship paper of VGP Phase I C_LIO_LIThe highest quality collection of genomes within the eukaryotic domain of life C_LIO_LIEvolution of genome sequencing technology quality throughout VGP Phase I C_LIO_LIA driver project that has been a model for multiple large-scale, high-quality reference genome projects C_LIO_LIReleases all currently unpublished genomes in Phase I from scientific study embargoes C_LIO_LIMultiple biological discoveries across the vertebrate tree of life C_LI

genomics↗

bioRxiv2026

Gamma CV as a Marker of Circadian Disruption in C57BL/6J Mice: Correlating Neural Desynchrony with Locomotor, Thermal, and Sleep Dysrhythmia across a Spectrum of Circadian Rhythms Disruption paradigms.

2)BackgroundCircadian rhythm desynchrony (CD) occurs when there is a mismatch between the circadian clock and local time, such as shift work. Mouse models are commonly employed to study CD, but may have significant shortcomings such as environmental masking, a focus only on sleep physiology, and significant variability between study designs. ObjectiveThis study used in vivo telemetry for simultaneous, real-time monitoring of locomotor activity (LA), core body temperature (CBT), and brain activity (EEG) in freely moving C57BL/6J mice to assess CD effects. MethodsFour-month-old C57BL/6J mice (n=11) were surgically implanted with telemeters enabling simultaneous real-time recording of LA, CBT, EEG.: Mice were sequentially exposed to a control condition standard 12:12h light-dark cycle (T24) then 4, 8-day CD paradigms: 10:10 h short day (T20), social jet lag (SJL), repeated 6h phase advances (6A2), and a 3:3 h ultradian cycle (T6)For each paradigm, the final 48h of data (250 Hz) were analyzed. ResultsWe found clear differences in the severity of the effects of each CD paradigm on sleep and circadian fitness, where T20[~]T6>SJL>6A2. CBT revealed broader disruption, but EEG outputs proved the most sensitive indicators of internal desynchrony. ConclusionsEach CD paradigm produced a unique profile across behavioral, physiological, and neural domains. We have also identified Gamma CV as a novel, sensitive metric of CD. These results highlight the necessity of multimodal monitoring to accurately characterize the impact of ecologically relevant stressors on circadian and sleep physiology. Statement of SignificanceCircadian rhythm desynchrony (CD), driven by shift work, jet lag, and modern irregular light exposure, is a major health burden linked to metabolic, neurodegenerative, and neuropsychiatric diseases. However, standard methods for measuring CD in laboratory models often rely on simple locomotor activity, which can "mask" the true extent of internal circadian stress. In this study, we simultaneously monitored brain EEG activity, core body temperature, and motion across four distinct models of circadian stress. We discovered that locomotor activity is a deceptive indicator of health; while mice appeared to show no alterations under several stress paradigms, their brain waves and body temperatures revealed the underlying impact of CD. Specifically, we identified "Gamma CV" as a highly sensitive new brain-wave marker that detects early circuit instability even when behavior appears normal and sleep quantity is preserved. These findings provide a marker for identifying early neurological vulnerability to irregular light schedules, offering a potential bridge to understanding similar gamma brain-wave alterations seen in addiction, early-stage Alzheimers disease, and other disorders.

neuroscience↗

bioRxiv2026

GPNMB overexpression- a marker of resistance to CDK4/6 inhibitors

Resistance to cyclin-dependent kinase 4/6 inhibitors remains a major clinical challenge in treating estrogen receptor-positive breast cancer, with no reliable predictive biomarkers currently available for patient selection. To investigate resistance mechanisms, we generated drug-tolerant persisters (DTPs) to abemaciclib and palbociclib in a panel of estrogen receptor-positive breast cancer cell lines. Functional analyses revealed that DTPs showed resistance to CDK4/6 inhibition, maintained G1 arrest, and exhibited increased senescence phenotype. To identify clinically relevant markers of resistance, we compared transcriptomic profiles from DTPs with publicly available gene-expression data from the phase III PEARL trial. Glycoprotein non-metastatic B (GPNMB) emerged as one of the most strongly upregulated transcripts in DTPs, and also was amongst the genes associated with resistance in the PEARL dataset. We further verified that GPNMB overexpression (GPNMB-OE) in sensitive cells conferred resistance to CDK4/6 inhibition, and enhanced migratory capacity. Overexpression of GPNMB drove substantially faster tumor progression and eliminated the growth-inhibitory effect of abemaciclib, which remained highly effective in control tumors. Across all treatment arms, GPNMB-OE tumors failed to respond to CDK4/6 blockade, highlighting a strong resistance phenotype. These results identify GPNMB as a potent promoter of tumor progression and a key mediator of resistance to abemaciclib. Our findings position GPNMB as a potential biomarker and therapeutic target that may help identify patients unlikely to benefit from CDK4/6 inhibition.

cancer biology↗

bioRxiv2026

Side-necked turtle genomes reveal chromosomal dynamics, skeletal innovation and cancer resistance

Turtles exhibit a highly derived body plan, exceptional longevity, cancer resistance, and striking diversity in karyotypes and sex determination systems. However, the genomic basis of these innovations remains unresolved, largely because reference genomes were lacking for one of two extant turtle clades, the side-necked turtles (Pleurodira). As part of the Vertebrate Genomes Project, we generated seven reference-quality Pleurodira genomes and reconstructed the most comprehensive genome-wide turtle phylogeny. Combining demographic inference with historical climate and biome reconstructions indicates that ancient climate fluctuations shaped long-term population dynamics, while recent declines mainly reflect population structure. Ancestral genome reconstructions reveal that rare bursts of chromosome fusions and fissions, likely facilitated by repetitive elements, drove turtle karyotype diversity. By identifying sex chromosomes and tracing their evolutionary history, we resolve a long-standing debate and demonstrate a single origin of genetic sex determination in Chelidae on a microchromosome over 80 million years ago. Contrary to previous hypotheses, we find no evidence of coevolution between genetic sex determination and chromosome number in turtles. Comparative genomic analyses further identify gene losses and signatures of adaptive evolution associated with key turtle traits. Gene losses causing disproportionate dwarfism phenotypes may have contributed to skeletal adaptations underlying the compact turtle body plan. In addition, gene losses and adaptive changes in stress response and tumor suppressor pathways likely enhance oxidative stress tolerance and cancer resistance. Together, these findings illuminate turtle genome evolution, revealing chromosomal dynamics, sex chromosome evolution, molecular insights into skeletal innovation and cancer resistance, and implicate gene losses as a recurrent contributor to evolutionary novelty.

genomics↗

bioRxiv2026

A screen for stress-induced sleep genes in C. elegans reveals a role for glutamate signaling

Sleep is an essential behavioral state that evolved early in animals, possibly with the advent of the nervous system. The complexity of sleep neural networks varies significantly across phylogeny, yet common signaling molecules exist. Stress-induced sleep (SIS) of Caenorhabditis elegans is controlled by two sleep interneurons (ALA and RIS), within a 302-celled nervous system. Even in this simple framework, a complex array of signaling molecules is expressed. Here, we surveyed some of these genes for roles in SIS. These included neuropeptides, g-protein coupled receptors, a two-pored potassium channel, and glutamate signaling components. We found that multiple genes are required for sleep maintenance (i.e., amounts), and/or the precise timing of sleep initiation. In particular, we identified an important role for glutamate signaling. The conserved ionotropic glutamate receptor glr-5, regulates sleep maintenance and timing, and is required in a 3-celled circuit of interneurons connected by gap junctions and chemical synapses with RIS. This work suggests that numerous redundant and/or parallel mechanisms have evolved to modulate a simple sleep-regulating circuit in C. elegans, and we speculate that conserved pathways may play similar roles in animals with more complex systems.

genetics↗

bioRxiv2026

Activity-based anorexia enhances glutamatergic synaptic transmission and neuronal excitability within the nucleus accumbens of female mice

Anorexia nervosa is a severe psychiatric disorder characterized by persistent food restriction and often excessive physical activity, implicating dysfunction in neural circuits governing motivation, reward, and behavioral persistence. The nucleus accumbens (NAc) is a central component of these circuits, yet synaptic and cellular adaptations within this region during anorexia-like states remain poorly defined. Using the activity-based anorexia (ABA) paradigm in adult female mice, we examined glutamatergic signaling and intrinsic neuronal properties in the NAc shell. ABA exposure produced rapid weight loss, reduced food intake, and progressively increased running-wheel activity. Biochemical analyses of NAc shell tissue revealed elevated membrane-associated GluA2 AMPA receptor protein. Consistent with this finding, whole-cell patch-clamp recordings from medium spiny neurons showed increased amplitude of spontaneous excitatory postsynaptic currents. ABA also enhanced intrinsic neuronal excitability, reflected by greater firing in response to depolarizing current injections. Together, these convergent biochemical and electrophysiological results demonstrate that ABA induces coordinated postsynaptic strengthening and increased intrinsic excitability in NAc shell medium spiny neurons. These adaptations suggest a sustained increase in accumbal output that may bias motivational circuit function and contribute to excessive activity and suppressed feeding during anorexia-like conditions, paralleling glutamatergic plasticity observed in other compulsive disorders, including substance use disorder.

neuroscience↗

bioRxiv2026

Cross-Modal Scaffolding: Music Enhances Hippocampal Binding and Separation for Visual Sequential Memory

The human brain continuously segments experience into meaningful episodes while also encoding temporal relationships between events, yet the mechanisms that optimize this dual challenge remain poorly understood. Here we tested a theoretical framework in which structured temporal context from one modality (music) can organize such memory computations in another (visual) through coordinated modulation of the hippocampus. Using fMRI and a sequence learning paradigm, we show that musical accompaniment enhanced both boundary detection and sequential organization of visual event memory. Mechanistically, musical context accelerated development of neural responses to boundaries in hippocampus and prefrontal cortex while simultaneously optimizing hippocampal representational patterns for learning: strengthening pattern similarity for within-sequence items while reducing computational demands for discriminating representations of different sequences. Critically, musical context created conditions where contextual similarity became a stronger predictor of memory success than before, transforming similarity from an interference signal into a beneficial learning mechanism. Multivariate analysis further revealed that musical scaffolding enhanced hippocampal encoding of the sequential position of visual stimuli, demonstrating cross-modal transfer of temporal structure to visual sequence learning. Finally, we demonstrate functional specificity across hippocampal subfields, revealing how temporal structure cues can coordinate distinct computational processes within the memory circuit. These findings establish a framework for understanding how structured context signals like music can simultaneously optimize multiple aspects of memory organization, and provide mechanistic insight for educational and clinical interventions that have leveraged cross-modal temporal enhancement to improve human cognitive function.

neuroscience↗

bioRxiv2025

Unraveling single-molecule reactions via multiplexed in-situ DNA sequencing

DNA sequence regulates complex reactions and protein-DNA interactions, yet sequence effects remain poorly understood due to the lack of direct, high-throughput approaches to study sequence-dependence at the single-molecule level. Here, we introduce Single-molecule Phenotyping and In-Situ Sequencing (SPIN-Seq), a DNA-based, protein-free method that links functional and structural properties of a single DNA molecule with the sequence of that same molecule. After performing functional assays on immobilized DNA molecules, SPIN-Seq uses sequencing-by-transient-hybridization on the same surface and instrument to read sequences in each immobilized DNA molecule, directly linking phenotype and genotype. Applying SPIN-Seq, we dissected the interaction of a transcription factor with its target sequence, and revealed the sequence-dependence of RNA polymerase pausing and reaction-path branching during initial transcription. Our method provides powerful, systematic ways to understand complex molecular mechanisms and their sequence dependence.

biophysics↗

bioRxiv2025

Harmonized Protocol for Segmentation of the Hippocampal Tail on High-Resolution in vivo MRI from the Hippocampal Subfields Group (HSG)

The hippocampus is a heterogeneous structure with cytoarchitectonically distinct subfields that exhibit heterogeneous lifespan trajectories and are differentially susceptible to diseases. Advances in high-resolution imaging have accelerated research on these structures, yet variability in segmentation protocols limits cross-study comparability. The Hippocampal Subfields Group (HSG) is an international consortium addressing this challenge by developing a reliable, accessible, and freely available segmentation protocol for high-resolution T2-weighted 3 tesla MRI scans (http://www.hippocampalsubfields.com). Here, we present the harmonized protocol for the posterior portion of the hippocampus (the "tail"), complementing the previously established "body" protocol, and with an anterior "head" protocol under development. The tail protocol provides standardized definitions of the external boundaries for the posterior-most extent of the hippocampus, facilitating consistent segmentation from surrounding tissues. The research community was extensively involved through an online survey that incorporated comprehensive protocol details, feasibility assessments, tutorial videos, and illustrative segmentations. Through this collaborative process, consensus emerged to exclude subfield labeling in the hippocampal tail due to limited visibility of internal landmarks and substantial anatomical variability in this region. All proposed boundary guidelines were deemed clear and agreed upon via a Delphi procedure. The harmonized tail protocol has high intra-(Averaged ICC(2,1) > 0.98; Averaged Dice Similarity Coefficient = 0.92) and inter-rater reliability (Averaged ICC(2,k) > 0.98; Averaged Dice Similarity Coefficient = 0.86) and offers a practical framework for replicable segmentation. By establishing standardized guidelines, this protocol enhances comparability of findings across developmental, aging, and clinical research and is compatible with ongoing technological advances.

neuroscience↗

bioRxiv2025

Nuclear receptor-neurotransmitter coupling links behavior to metabolic state

Animals must flexibly respond to environmental stimuli to survive, and optimal responses critically depend on the organisms current needs. Many organisms have evolved both cell-intrinsic and intertissue signaling pathways that integrate metabolic status. However, how this information is encoded in molecular signals is currently not well understood. Here we show that the nematode C. elegans employs lipidated neurohormones that combine the neurotransmitter octopamine and fat metabolism-derived building blocks to relay information about lipid metabolic status and drive inhibition of aversive olfactory responses during food removal. Using targeted metabolomics, we show that lipidated neurohormone synthesis requires the carboxylesterase CEST-2.1, which links octopamine-glucosides with endogenous methyl-branched or diet-derived cyclopropane fatty acids that act as agonists of the nuclear receptor and master regulator of fat metabolism, NHR-49/PPAR. Loss of cest-2.1, loss of bacterial cyclopropane fatty acid production, or loss of endogenous biosynthesis of the methyl-branched fatty acid substrates of CEST-2.1 mimics the behavioral responses of animals lacking octopamine, indicating that regulation of neurotransmitter-dependent behavior is linked to the coordination of fat metabolism via NHR-49/PPAR. Biosynthesis and subsequent neuromodulation via lipidated neurohormone relies on an intertissue trafficking pathway in which octopamine is shuttled first into the intestine where it is chemically modified, which is likely followed by neuronal import and intracellular hydrolysis to finally release free octopamine. We propose that esterase-dependent synthesis and subsequent hydrolysis of lipidated neurohormones represents a chemical encoding mechanism by which animals integrate information from neurotransmitter signaling and lipid homeostasis to direct appropriate behaviors.

neuroscience↗

bioRxiv2025

Hierarchical Coordination of Polymerase Theta and RAD51 Resolves Clustered Replication Fork Collapse

The essential role of polymerase theta (Pol{theta})-mediated end joining (TMEJ), an alternative double strand break repair pathway, has been primarily studied in homologous recombination (HR)-deficient contexts(1, 2). Here, we uncover an indispensable role for TMEJ in HR-proficient mammalian cells during the repair of interstrand crosslinks (ICLs). We show that Pol{theta} is recruited downstream of canonical ICL repair steps--including ICL unhooking, RAD51 loading, and RAD51 ubiquitylation--and localizes to sites of unresolved HR through interactions with ubiquitylated RAD51 filaments. Using genomic scar profiling and targeted ICL repair assays, we find that TMEJ resolves a minor subset of lesions that are not amenable to HR repair, such as clustered ICLs that can induce two-ended replication fork collapse. These findings reveal a RAD51 ubiquitylation-dependent mechanism for Pol{theta} recruitment and establish TMEJ as a hierarchically deployed DNA repair pathway that safeguards genome stability when HR is insufficient to resolve replication-associated DNA damage. Short SummaryPol{theta} is recruited via RAD51 ubiquitylation to resolve clustered ICLs that generate HR-refractory replication fork collapse.

cell biology↗

bioRxiv2025

Harmonized Protocol for Subfield Segmentation in the Hippocampal Body on High-Resolution in vivo MRI from the Hippocampal Subfields Group (HSG)

Hippocampal subfields differentially develop and age, and they vary in vulnerability to neurodegenerative diseases. Innovation in high-resolution imaging has accelerated clinical research on human hippocampal subfields, but substantial differences in segmentation protocols impede comparisons of results across laboratories. The Hippocampal Subfields Group (HSG) is an international organization seeking to address this issue by developing a histologically-valid, reliable, and freely available segmentation protocol for high-resolution T2-weighted 3 tesla MRI (http://www.hippocampalsubfields.com). Here, we report the first portion of the protocol focused on subfields in the hippocampal body; protocols for the head and tail are in development. The body protocol includes definitions of the internal boundaries between subiculum, Cornu Ammonis (CA) 1-3 subfields, and dentate gyrus, in addition to the external boundaries of the hippocampus apart from surrounding white matter and cerebrospinal fluid. The segmentation protocol is based on a novel histological reference data set labeled by multiple expert neuroanatomists. With broad participation of the research community, we voted on the segmentation protocol via online survey, which included detailed protocol information, feasibility testing, demonstration videos, example segmentations, and labeled histology. All boundary definitions were rated as having high clarity and reached consensus agreement by Delphi procedure. The harmonized body protocol yielded high inter- and intra-rater reliability. In the present paper we report the procedures to develop and test the protocol, as well as the detailed procedures for manual segmentation using the harmonized protocol. The harmonized protocol will significantly facilitate cross-study comparisons and provide increased insight into the structure and function of hippocampal subfields across the lifespan and in neurodegenerative diseases.

neuroscience↗

bioRxiv2025

Biologically inspired warning patterns deter birds from wind turbines

Wind power has been at the forefront of investment and innovation in renewable energy. However, bird fatalities from collisions with wind turbines present an ecological and social challenge to the growing deployment of wind power. Increasingly, research has focused on utilising the sensory ecology of animals to provide passive or active cues that minimise collision risk by increasing the detectability and/or aversiveness of the turbine blades and towers. In nature, numerous aposematic species use contrasting colours and striped patterns to warn birds of their unprofitability. These common signal elements are effective due to their salience within a wide range of natural scenes, memorability, generalisability across taxa due to mimicry, and exploitation of the innate colour preferences of birds. This begs the question: might biologically inspired turbine blades that mimic aposematic patterns help protect birds by increasing their avoidance of turbine blades? Here, we used a screen-based game experimental setup to test the behavioural responses of wild-caught great tits (Parus major) to three existing wind turbine patterns (white, red striped, and single black blade) as well as a novel biologically inspired aposematic pattern. Birds were less likely to approach and, when they did approach, took significantly longer to approach patterned compared to uniform white blades. This effect was strongest for our aposematic pattern compared to all other patterns tested, highlighting the utility of our bio-inspired approach. Our work suggests that adding red, black and yellow warning patterns to wind turbine blades could reduce bird collisions with wind turbines.

ecology↗

bioRxiv2025

Mapping affinity and allostery in human IgG antibody Fc region-Fc γ receptor interactions

IgG antibodies, required for a functional immune system, recognize antigens and neutralize pathogens using their Fab regions, while signaling to the immune system by binding to host Fc {gamma} receptors (Fc{gamma}Rs) through their Fc regions. These Fc{gamma}R interactions initiate and modulate antibody-mediated effector functions that are essential for host immunity, therapeutic monoclonal antibody effectiveness and IgG-mediated pathologies. Fc{gamma}Rs include both activating and inhibitory receptors and the relative binding affinities of the IgG Fc region to Fc{gamma}Rs that generate opposing signals is a key determinant of the immune response. Substantial research effort has been devoted to understanding and manipulating Fc{gamma}R interactions to decipher their fundamental biological activities and to develop therapeutic monoclonal antibodies with tailored effector functions. However, a common Fc-Fc{gamma}R binding interface, the high sequence identity of Fc{gamma}Rs, and the inherent conformational dynamics of the IgG Fc region, have prohibited a full understanding of these interactions, even when employing state-of-the-art biophysical and biological methods. Here, we used site-saturation libraries of the human IgG1 Fc region to determine the effective affinities of more than 98% of all possible single-site amino acid substitutions in the Fc to all human Fc{gamma}Rs, as well as the most common Fc{gamma}R polymorphisms. We provide a comprehensive analysis of Fc amino acid variations that determine Fc stability, orthosteric control of Fc{gamma}R binding, and short- and long-range allosteric control of Fc{gamma}R binding. We also predict the relative activating versus inhibitory effector function capacity of nearly every possible single-site Fc mutation.

biochemistry↗

bioRxiv2025

Haplotype-resolved reference genomes of the sea turtle clade unveil ultra-syntenic genomes with hotspots of divergence

BackgroundReference genomes for the entire sea turtle clade have the potential to reveal the genetic basis of traits driving the ecological and phenotypic diversity in these ancient and iconic marine species. Furthermore, these genomic resources can support conservation efforts and deepen our understanding of their unique evolution. ResultsWe present haplotype-resolved, chromosome-level reference genomes and high-quality gene annotations for five sea turtle species. This completes the catalog of reference genomes of the entire sea turtle clade when combined with our previously published reference genomes. Our analysis reveals remarkable genome synteny and collinearity across all species, despite the clades origin dating back more than 60 million years. Regions of high interspecific genetic distance and intraspecific genetic diversity are consistently clustered in genomic hotspots, which are enriched with genes coding for immune response proteins, olfactory receptors, zinc fingers, and G-protein-coupled receptors. These hotspot regions may offer insights into the genetic mechanisms driving phenotypic divergence among species, and represent areas of significant adaptive potential. Ancient demographic analysis revealed a synchronous population expansion among sea turtle species during the Pleistocene, with varying magnitudes of demographic change, likely shaped by their diverse ecological adaptations, and biogeographic contexts. ConclusionsOur work provides genomic resources for exploring genetic diversity, evolutionary adaptations, and demographic histories of sea turtles. We outline genomic regions with increased diversity, linked to immune response, sensory evolution, and adaptation to varying environments that have historically been subject to strong diversifying selection, and likely will underpin sea turtles responses to future environmental change. These reference genomes can assist conservation by providing insights into the demographic and evolutionary processes that sustain and threaten these iconic species.

genomics↗