Biology subjects

Gao, J.

Publications and source records attributed to Gao, J..

At least 19 recordsLinked to original sources

bioRxiv2026

MC1R residue 223 is a convergent target for coat-colour lightening in domestic and wild bovids

Whether similar phenotypes evolve through shared substitutions or alternative molecular routes is a central question in evolutionary genomics. Grey-coated taurine cattle provide a powerful system for investigating this question using geographically distinct Podolian and Alpine lineages. We combined whole-genome resequencing data, complementary selection scans (hapFLK, DCMS and FST) and contrasts between grey-coated and non-grey-coated breeds to investigate the molecular evolution of grey coat colour. Selection analyses identified candidate regions associated with Podolian/steppe divergence and a prominent pigmentation-related signal on BTA18 contaning FANCA, MC1R, and SPIRE2. Most grey breeds shared a BTA18 haplotype containing MC1R p.Arg223Trp and additional candidate variants. Tyrolean Grey cattle lacked this predominant haplotype but carried the coding duplication p.Gly220_Arg223dup, together with differentiation near the ASIP regulatory region. Thus, different candidate coding changes affect the same MC1R residue in different cattle lineages. Haplotype comparisons supported independent Podolian and Alpine origins for p.Arg223Trp and p.Gly220_Arg223dup insertion, respectively. Ancient-genome screening yielded no validated evidence of either variant except p.Arg223Trp in medieval cattle. Comparisons across 1,108 mammalian taxa identified independent recurrence of p.Arg223Trp in the white-coated mountain goat, Oreamnos americanus, where the derived allele was fixed in surveyed individuals (JTT-based neutral probability = 0.0043). Our findings support a model in which grey coat colour in cattle evolved through at least two partially distinct molecular routes within interacting pigmentation pathways. More broadly, they identify MC1R residue 223 as a candidate recurrent target of coat-colour lightening and illustrate how domesticated and wild lineages can repeatedly target constrained functional positions during phenotypic evolution.

evolutionary biology↗

bioRxiv2026

Endonuclease G governs an antiviral RNA surveillance system in budding yeast

Endonuclease G family DNA/RNA nucleases localize to the mitochondrial intermembrane space and prevent escape of mitochondrial DNA to the cytosol or nucleus. While extramitochondrial Endonuclease G also targets nuclear DNA during cell death, RNA regulatory roles of this family remain enigmatic. Here we discover an RNA surveillance system in Saccharomyces cerevisiae governed by Nuc1, the yeast Endonuclease G homolog. This system limits replication of L-A, an RNA mycovirus that endemically infects this organism. Whereas L-A resides in the cytosol, we find that Nuc1's antiviral function requires its mitochondrial intermembrane space localization. To understand Nuc1's indirect antiviral mechanism we investigated its genetic interactions with REX1 and REX2, RNA exonucleases that control 3' end processing of tRNA and rRNA intermediates in the nucleus. We demonstrate that the nuc1{triangleup} antiviral defect is massively amplified by rex1{triangleup} rex2{triangleup} leading to L-A RNA levels that surpass mature rRNAs and overwhelm the cells. NUC1 concurrently controls a pool of mis-processed tRNA and rRNA species that accumulate in rex1{triangleup} rex2{triangleup} mutants. Linking these mis-processed RNAs with L-A control, we show they are significantly reduced in L-A infected cells, suggesting that L-A depletes them to enhance its replication. Our findings identify a previously unrecognized RNA surveillance function of Nuc1 that prevents aberrant rRNA and tRNA species from promoting replication of the L-A mycovirus.

molecular biology↗

bioRxiv2026

Postsynaptic TAK1-GluN2B axis supports hippocampal synaptic integrity and cognitive function during aging

Transforming growth factor {beta}-activated kinase 1 (TAK1) is a serine/threonine kinase best known for its roles in immune and stress-response signaling, yet its physiological function in mature neurons remains poorly understood. Here we identify neuronal TAK1 as a regulator of excitatory synaptic integrity, hippocampal plasticity and memory. Conditional reduction of TAK1 in forebrain excitatory neurons impaired short- and long-term memory and was accompanied by attenuated long-term potentiation in the hippocampus. At the cellular level, TAK1 deficiency reduced dendritic spine density and suppressed excitatory synaptic transmission, whereas genetic or pharmacological disruption of TAK1 kinase activity recapitulated these synaptic deficits. Mechanistically, TAK1 localized to the postsynaptic compartment of excitatory synapses and associated with PSD-95. Phosphoproteomic analysis of isolated postsynaptic density fractions revealed coordinated changes in synaptic phosphorylation following TAK1 reduction, including decreased phosphorylation of the NMDA receptor subunit GluN2B at serine 920. Analyses of phosphodeficient and phosphomimetic GluN2B mutants supported a role for S920 phosphorylation downstream of TAK1 in maintaining dendritic spine density, excitatory synaptic transmission and spontaneous synaptic calcium activity. Notably, synaptic TAK1 level was reduced in the aged hippocampus. Re-expressing neuronal TAK1 in aged mice increased dendritic spine density, enhanced hippocampal synaptic plasticity, and improved memory performance. Together, these findings define a postsynaptic TAK1-GluN2B signaling axis that supports excitatory synaptic function and suggest that reduced synaptic TAK1 signaling may contribute to hippocampal vulnerability during aging.

neuroscience↗

bioRxiv2026

DEPICT enables sample-centric therapeutic prioritization across evolving and spatially heterogeneous tumor states

Accurate treatment selection remains a major challenge in precision oncology because tumors with similar genomic alterations can respond differently to therapy. Most drug-response models evaluate individual drugs or drug-sample pairs, whereas clinical decision-making requires therapies to be prioritized within each tumor context. Here we present DEPICT (Drug Efficacy Prediction via Integrated ConText), a sample-centric deep learning framework that reframes drug-response prediction as the relative prioritization of therapies within an individual tumor context. DEPICT integrates transcriptomic and mutational features with prior alteration-therapy relationship and was trained on 231,880 cell line-drug pairs comprising 941 cancer cell lines and 289 compounds. Without retraining, DEPICT retained predictive performance in independently profiled cell lines, experimentally induced drug-resistant states and matched primary lung tumors and patient-derived organoids. Representations learned exclusively from bulk pharmacogenomic data further captured progressive drug-response states at single-cell resolution and outperformed existing single-cell drug-response inference methods. Applied to spatial transcriptomic data, DEPICT resolved clone-associated therapeutic heterogeneity within individual lung tumors, and predicted regional differences were recapitulated in matched multiregional organoid drug-response assays. These findings establish sample-centric therapeutic prioritization as a transferable strategy for modeling dynamic and spatially heterogeneous drug vulnerabilities across biological scales.

bioinformatics↗

bioRxiv2026

Causal event structure shapes convergent reactivation signatures in human cortex and language model

Humans adapt to changing environments by understanding the latent causal structure of events, and modern large language models (LLMs) increasingly exhibit analogous abilities. However, elucidating how causal knowledge is represented and integrated in the human brain and in LLMs poses a substantial challenge for cognitive science. To address this, we combine topological analysis of representational manifolds with neuroscientific analyses of reactivation. We find that event-level causal relations modulate temporally structured neural reactivation in the human brain, particularly in the angular gyrus, precuneus and prefrontal cortex. By contrast, LLMs express these relations through positionally structured representational reactivation. Despite these differences, the resulting reactivation patterns exhibit similar intrinsic manifold structure across the two systems. Together, these findings suggest that the human brain and LLM share a common principle for organizing causal knowledge.

neuroscience↗

bioRxiv2026

Architecture and Energy Transfer of the Bacterial Photosynthetic Unit

In phototrophic organisms, pigment-protein membrane complexes are densely packed to form photosynthetic units (PSUs) that capture solar energy and convert it into chemical energy. Although the structures of many individual photosynthetic complexes have been resolved, how they are arranged and interact with others within photosynthetic membranes to enable efficient excitation energy transfer (EET) remains poorly understood. Here, we report cryo-electron microscopy structures of PSU supercomplex assemblies from the phototrophic a-proteobacterium Rhodovulum viride, including an RC-LH1 core associated with one or two peripheral LH2 complexes and a curved LH2 tetramer. These membrane-derived assemblies define the relative positions and orientations of neighboring photosynthetic complexes and place their pigment arrays in proximity across antenna-antenna and antenna-core interfaces. Structure-based simulations identify potential EET pathways within the PSU assemblies and reveal rapid energy transfer across both LH2-LH2 and LH2-LH1 interfaces. Collectively, these findings provide insights into the assembly and structural modularity of bacterial PSUs and elucidate how the lateral organization of membrane protein complexes facilitates efficient energy transfer. This work extends structural studies of bacterial photosynthesis from individual complexes to their native higher-order assembly, providing a framework for understanding how photosynthetic supercomplex organization shapes energy migration and for guiding the design of artificial photosynthesis.

biochemistry↗

bioRxiv2026

A self-limiting, TREM2-dependent anabolic program confers microglial resilience in Alzheimer's disease

Microglia are key drivers of Alzheimer's disease (AD), and TREM2, one of the strongest genetic risk factors, enables the disease-associated microglia (DAM) state required for plaque engagement. How TREM2 sustains this protection, and why it falters as disease advances, remain unclear. Using proteomics, single-cell transcriptomics, and in vivo metabolic labeling, we show that plaque-associated microglia mount a TREM2-dependent anabolic program coupling nascent protein synthesis to mitochondrial biogenesis. This program, not the DAM signature, marks phagocytically competent microglia; its loss is associated with proteostatic overload and mitochondrial dysfunction. Unexpectedly, this anabolic program is self-limiting, peaking at low amyloid burden and declining as burden rises. This decline is conserved in humans: across 523 donors, anabolic capacity tracks TREM2 but falls at advanced Braak stage even as DAM signature keeps rising. Thus, anabolic capacity, rather than activation state, marks microglial resilience in AD, and sustained stimulation of phagocytosis by anti-amyloid antibodies risks biosynthetic exhaustion and self-limiting efficacy.

neuroscience↗

bioRxiv2026

Source of genome-wide deleterious variation in a global cattle cohort

Background Identifying deleterious DNA changes underpins efforts to improve animal health, welfare, and sustainable breeding. In cattle, current variant prioritization focuses on coding changes, uses single annotation types, and gives limited resolution in non-coding sequence. Results We developed BovCADD (bovine Combined Annotation-Dependent Depletion), a nucleotide-level deleteriousness score for substitutions in Bos taurus and Bos indicus, combining evolutionary constraint, sequence context, epigenetic and regulatory annotations, and gene and protein features. A logistic regression model trained on 41.9 million high-frequency derived alleles from about 3,700 cattle, contrasted with context-matched simulated variants, scored all 8.1 billion possible substitutions. BovCADD distinguished known pathogenic variants from background variation, discriminated among variants within the same consequence class, and scored intronic and intergenic sites. Aggregating scores identified genes carrying rare deleterious variation and revealed elevated genetic load at trait-relevant loci and in bottlenecked, intensively selected populations. Conclusions BovCADD provides the first genome-wide, nucleotide-resolution measure of deleteriousness in cattle, extending variant interpretation to non-coding sequences and linking variant-level prioritization to population-level patterns of mutational burden. Precomputed scores for all substitutions are publicly available.

genomics↗

bioRxiv2026

Mechanochemical cues control the coupling of metabolic and migratory patterns in cancer

Confined migration is essential for metastasis, yet how cells adapt their migratory and metabolic programs across stiffness-varying microenvironments remains unclear. We uncover a stiffness-dependent mechano-metabolic switch governing migration. In stiff microchannels, cells utilize the osmotic engine model (OEM), relying on NHE1 activity, front-polarization, and glycolysis. In soft microchannels, migration is OEM-independent and requires pyruvate-fueled oxidative phosphorylation (OxPHOS). This OxPHOS-driven motility depends on Arp3, {beta}1-integrin and integrin-linked kinase, which increase membrane tension in confinement that in turn triggers TRPM7-mediated calcium influx and RhoA-/myosin-II contractility. Activating and polarizing NHE1, via overexpression, hypoxia or elevated viscosity, restore OEM- and glycolysis-dependent migration in soft microchannels, bypassing the need for actin polymerization in vitro and in chick embryos. Mitochondria addition reinstates Arp3 polarization and enhances migration in NHE1-overexpressing cells, enabling engagement of both mechanisms in vitro and in zebrafish. These findings uncover a previously unrecognized mechano-metabolic link, revealing that intracellular rewiring overrides stiffness-dependent metabolic demands.

cell biology↗

bioRxiv2026

Structure and energy transfer of a minimal PSI-LHCI supercomplex with FNR binding from a terrestrial eustigmatophyte

Soil microalgae endure harsh terrestrial stressors, such as intense light. Eustigmatophytes are an independent evolutionary branch within stramenopiles and occupy diverse aquatic and terrestrial environments, but the structural organization of their photosynthetic apparatus remains poorly understood. Here, we determined the cryo-electron microscopy structure of a photosystem I-light-harvesting complex I (PSI-LHCI) supercomplex bound with ferredoxin-NADP+ oxidoreductase (FNR) from the terrestrial eustigmatophyte Vischeria stellata at 2.44 [A] resolution. The supercomplex contains a monomeric PSI core associated with only three LHCI subunits, representing the smallest PSI-LHCI reported among structurally characterized red-lineage PSI complexes composed of violaxanthin-Chl a proteins (VCPs). The three VCPIs with distinct structure features and arrangements form a compact belt along the PsaL-PsaI-PsaM side of PSI. The structure also resolves a 43-residue N-terminal segment of FNR (FNR-N) bound to the PSI stromal surface, which is stabilized by both a eustigmatophyte-conserved insertion in PsaL and the N-terminal region of PsaD. In contrast, the catalytic region of FNR was not resolved, suggesting conformational flexibility. Computational simulations indicate potential excitation-energy-transfer pathways connecting the three VCPI subunits to the PSI core and highlight lineage-specific pigments that maintain energetic connectivity within the exceptionally compact antenna. Our analysis further reveals conservation of FNR tethering despite pronounced diversification of antenna size and organization. These findings uncover a modular evolutionary principle in which PSI acceptor-side organization is retained while the light-harvesting antenna is extensively remodeled, providing a framework for understanding the diversification of photosynthetic energy conversion across ecological transitions.

plant biology↗

bioRxiv2026

Healed predation scar on a Cambrian apex predator

Predation is considered a key driver of the rapid diversification of animals during the Cambrian explosion. While the fossil record documents a plethora of evidence of successful and failed predation on biomineralized invertebrates at low trophic levels, no previous evidence of predation on larger, often soft-bodied, animals at higher trophic levels has been reported. This means that the modeled links between higher trophic levels in Cambrian food webs lack supporting fossil evidence, hindering understanding of the complexity of Cambrian trophic relationships. Here, we report a healed injury on the swimming flap of the radiodont apex predator Amplectobelua symbrachiata-- one of the largest animals in the Cambrian oceans. The diagnostic W-shape with a healed margin supports interpretation of this wound as predatory in origin, with likely attackers including larger contemporaneous radiodonts - possibly members of the same species -- or the giant lobopodian Omnidens. Evidence that apex predators were attacked provides critical empirical data informing the complexity of Cambrian food webs. This finding provides empirical support for the existence of high-level feeding loops, analogous to those in modern marine ecosystems, documenting the rapid increase in trophic complexity during the latter stages of the Ediacaran-Cambrian Transition.

paleontology↗

bioRxiv2026

Systematic Development of a Compact Genome-Editing Tool Leveraging the TAM-Independent DNA Nuclease TasR in Bacillus subtilis

Bacillus subtilis is a core microbial chassis in biomanufacturing, and establishing efficient gene editing technologies is key to engineering this strain. In conventional CRISPR gene editing technologies, the large size of DNA nucleases leads to difficulties in plasmid construction, low transformation efficiency, and cumbersome multi-round editing operations; therefore, developing miniature gene editing tools can effectively address these issues. Although our group previously established a miniature gene editing tool based on IscB in B. subtilis SCK6, IscB relies on the 5'-CAGGAA-3' TAM recognition sequence, and 83.36% of the genes in the SCK6 genome harbor no or only one TAM sequence, indicating a bottleneck of restricted editing for IscB in this strain. The novel miniature DNA nuclease TasR does not require a TAM sequence and can thus compensate for the limitation of IscB; however, the applicability of TasR in B. subtilis remains unknown. Therefore, this study first constructed a single plasmid, pBsuTasR, capable of expressing TasR and its guide RNA (tigRNA), which enabled gene deletion of regular-sized fragments in SCK6 with editing efficiencies of 21.7%- 78.3%. Subsequently, the capacity of TasR to delete a long DNA fragment (169.9 kb) was evaluated, and it was found that under the guidance of a single tigRNA, the deletion efficiency was 21.73%, whereas after optimizing to two tigRNAs, the efficiency increased to 39.13%. Furthermore, the gene integration capability of pBsuTasR was further tested, and TasR was able to integrate the aprN gene into the amyE locus at an efficiency of 13.3% under the guidance of a single tigRNA, and after increasing to two tigRNAs, the integration efficiency increased to 91.3%. In terms of iterative genome editing, this study developed the pBsu-SRP (Scissors-Rock-Paper) iterative editing system, which automatically cures the editing plasmid from the previous round while performing a new round of gene editing, with sequential gene deletion efficiencies of 4.34%-26.08%, and using this system, the editing cycle can be shortened from 4N days by the conventional method to 3N+1 days. Subsequently, the pBsu-SRP system was successfully used to achieve the integration of two and three copies of the mCherry fluorescent reporter gene in SCK6, and it was found that the fluorescence intensity increased with the copy number. Finally, this study also explored the escape of SCK6 from TasR cleavage and found that mutations in the tigRNA sequence are the cause of the escape. In summary, this study constructed a novel miniature genome editing system in B. subtilis using the TAM-independent nuclease TasR as the core component. This system can not only provide an efficient technical tool for genetic manipulation of industrial microorganisms, but also offer new instrumental support for the iterative engineering and functional optimization of chassis cells in biomanufacturing.

molecular biology↗

bioRxiv2026

IgGM2: An All-Atom Foundation Model for Adaptive Immune Receptor Design

Accurate immune receptor design requires modeling the coupled variation of aminoacid sequence, full-atom conformation, and target-binding geometry across antibodies, nanobodies, and T-cell receptors (TCRs). Existing methods often address only part of this problem, either by separating structure generation from sequence design, relying on fixed-backbone inverse folding, or focusing on a single receptor class. We introduce IgGM2, a unified all-atom generative framework for immune receptor structure prediction and CDR sequence-structure co-design. IgGM2 follows a structure-to-design strategy: it first learns how immune receptors are positioned around fixed target structures, and then transfers this target-conditioned structural prior to CDR design. Unlike modular design pipelines, IgGM2 jointly generates CDR residue identities and full-atom receptor structures, allowing frame-work geometry to adapt to designed CDRs without separate inverse folding or external sidechain packing. Unlike continuous residue encodings based on virtualatom geometry, IgGM2 keeps sequence prediction explicit while using atom14 placeholders only for full-atom representation. On structure prediction benchmarks, IgGM2 better captures receptor-target spatial relationships than AlphaFold3 on FoldBench and achieves strong performance on TCR-pMHC modeling. On sequence design benchmarks, IgGM2 achieves competitive amino-acid recovery and improves Rosetta-based interface preference metrics, suggesting more favorable generated binding interfaces. These results support IgGM2 as a unified all-atom framework for adaptive immune receptor structure prediction and design.

bioinformatics↗

bioRxiv2026

MacaSurfer: unified surface-volume mapping of the macaque brain across the lifespan

Macaque brain MRI is central to translational and comparative neuroscience, yet multi-site, longitudinal, and cross-species analyses are hindered by a lack of unified, automated structural processing tools. Existing pipelines, mostly adapted from human neuroimaging or restricted to fragmented steps, fail to provide robust surface-volume representations across heterogeneous acquisitions and developmental stages. Here we introduce MacaSurfer, a fully automated, containerized framework for unified surface-volume mapping of the macaque brain across the lifespan. MacaSurfer features components tailored for macaque anatomy: a tissue segmentation model, a tissue-guided bias-field correction method optimizing structural mapping from T1-weighted images alone, topology-aware surface reconstruction, and surface-aware volumetric registration. Validated on 1,346 imaging sessions from 965 macaques across 39 international sites (spanning 2 weeks to 23 years of age), MacaSurfer demonstrated exceptional anatomical consistency, test-retest precision, and robustness against image degradation. Leveraging MacaSurfer-derived morphometry, we established normative trajectories from 835 macaques, providing a standardized reference for downstream individualized deviation analysis. MacaSurfer is openly available with source code, containers, and pretrained models, offering a reproducible ecosystem to accelerate developmental, translational, and comparative neuroimaging.

neuroscience↗

bioRxiv2026

Intestinal fructose metabolism drives unsaturated fat absorption and synergizes with GLP-1 receptor agonism to promote weight loss

High-fat, high-sucrose (HFHS) diets are established risk factors for obesity. In the intestine, sucrose is hydrolyzed into glucose and fructose, with fructose being taken up by epithelial cells and phosphorylated by ketohexokinase (KHK). We hypothesized that KHK is required for the obesogenic effects of HFHS diets and performed genetic and pharmacologic experiments in mice using diet-induced obesity (DIO) models. We show that genetic loss of KHK prevents HFHS-induced weight gain and intestinal villus elongation. Moreover, pharmacologic inhibition of KHK (KHKi) promotes weight and fat loss during continued HFHS feeding in DIO mice and enhances weight loss and weight maintenance during and after incretin-mimetic therapy. The anti-obesogenic effects of KHKi were associated with delayed intestinal lipid absorption, reprogramming of lipid metabolism in the distal intestinal epithelium, and reduced absorption of unsaturated dietary fats. Together, these findings identify fructose metabolism as a key regulator of intestinal lipid handling and suggest that fructose promotes obesity, in part, by enhancing intestinal lipid absorption and metabolism.

cell biology↗

bioRxiv2026

Single-Cell Multi-Omics Dissection of Malignant Evolutionary Mechanisms and Construction of a Prognostic Model for Clear Cell Renal Cell Carcinoma

Clear cell renal cell carcinoma (ccRCC) exhibits pronounced heterogeneity across WHO histological grades, yet systematic single-cell multi-omics studies characterizing these transitions remain limited. We integrated scRNA-seq and scATAC-seq data across ccRCC WHO grades to establish a multi-omics framework encompassing tumor cells and immune populations. Using pseudotime trajectory analysis and machine learning ensembles, we developed a prognostic signature (CBG) from core nodes of transcriptional regulatory networks. We found that in tumor cells, epigenetic alterations consistently precede metabolic reprogramming and invasive adaptation. CD8+ T cell exhaustion followed a trajectory shifting from IRF7- to ZNF683-regulated states, while monocytes differentiated toward M1 and M2 macrophages orchestrated by NFIC/IL1B and CEBPD/GLI2. Intercellular communication networks showed a temporal progression from inflammation, through vascular remodeling, to immunosuppression dominance. The CBG signature demonstrated robust performance in independent cohorts, identifying SLC11A1 and SH3YL1 as antagonistic survival determinants. This study elucidates the dynamic molecular and immunological mechanisms underlying ccRCC grade progression, providing a robust framework for subtype-specific prognostication and precision therapeutic targeting.

bioinformatics↗

bioRxiv2026

Systematic Engineering of Intra-Articular Drug Release Profiles Reveals a Key Determinant of Disease-Modifying Efficacy in Post-Traumatic Osteoarthritis

Post-traumatic osteoarthritis (PTOA) is a progressive joint disease for which no disease-modifying osteoarthritis drugs (DMOADs) have been approved. Although injectable drug delivery systems can prolong therapeutic retention within the joint, it remains unclear whether local drug release kinetics influence disease-modifying efficacy. Here, we developed a modular platform of injectable supramolecular hydrogels using biocompatible, generally recognized as safe (GRAS) amphiphilic molecules and systematically engineered a range of degradation and drug release profiles. Using the cathepsin-K inhibitor L-006235 as a model DMOAD, we generated hydrogels with distinct release kinetics and evaluated their therapeutic performance in PTOA. Hydrogels exhibiting slower degradation and more sustained drug release like Sucrose Stearate (SS hydrogel) showed prolonged intra-articular retention and improved therapeutic outcomes. In a destabilization of the medial meniscus (DMM) mouse model, sustained-release formulations significantly reduced cartilage degeneration, preserved aggrecan expression, improved joint histopathology, and enabled effective monthly dosing. In contrast, formulations with faster degradation and release kinetics required more frequent administration to achieve comparable benefits. To our knowledge, this is the first study to establish local drug release kinetics as a critical determinant of disease-modifying efficacy in PTOA. This work provides one of the clearest demonstrations to date that engineering intra-articular release kinetics, rather than merely prolonging residence time, can improve disease-modifying outcomes. Our findings establish local release kinetics as a key design parameter for osteoarthritis therapeutics and highlight the potential of tunable supramolecular hydrogels for long-acting drug delivery.

bioengineering↗

bioRxiv2026

Efficient neural encoding of time intervals in speech and complex sound sequences

Encoding time intervals in complex sound faces dual challenges: it must be precise and cover a broad dynamic range. In speech, for example, a ten millisecond lengthening of a syllable can signal stress or phrasal boundaries, yet the syllable duration distribution is long tailed beyond 500 ms and has variable statistics across speakers. Here, we propose that the auditory cortex employs efficient coding to represent time intervals. When listeners heard syllable sequences drawn from different duration distributions, the magnetoencephalographic (MEG) response from the temporal cortex scaled with syllable duration, which is characterized using the interval-response function. Crucially, this interval-response function met predictions of efficient coding. Its intercept and slope adapted to the mean and variance of syllable duration, respectively, and it consistently exhibited a compressive nonlinearity that reduced response skewness, consistent with a maximum-entropy code. A computational model that constantly updates the inference of duration distribution provided an algorithmic account of this efficient coding, and intracranial electroencephalogram (iEEG) data confirmed the same principles during natural speech comprehension. Together, our findings reveal an efficient neural mechanism that supports precise encoding of highly variable time intervals in complex sound sequences.

neuroscience↗