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Biology subjects

Zhong, L.

Publications and source records attributed to Zhong, L..

At least 19 recordsLinked to original sources

Digital molecular kinetics enabled by large-scale nanopore arrays for multidimensional biophysical profiling

While widely used, traditional technologies like surface plasmon resonance (SPR) are limited by narrow temporal windows (transient capture and baseline drift), dynamic heterogeneity, and poor physiological temperature performance. Meanwhile, early nanopore approaches are often constrained by limited throughput and heavy reliance on customized modification schemes. Here, we present a digital molecular kinetics (DMK) platform based on large-scale nanopore arrays. By introducing a universal coupling and probe reporting system, DMK achieves broad versatility across diverse molecular pairs, including proteins, peptides, small molecules, DNA, and polymerase complexes. In addition to accurately recovering classical SPR association and dissociation rate constants, by harnessing massive single-molecule event analysis, DMK breaks traditional performance boundaries: it facilitates robust thermodynamic-kinetic profiling across a wide temperature range, resolves distinct conformations in heterogeneous samples, enables ultra-low dissociation rate quantification via maximum likelihood estimation, and reveals energy wells via voltage gradients for binding analysis against environmental perturbations. Furthermore, DMK enables the capture of rapid binding events missed by SPR, offering a new perspective on molecular interaction complexity. This platform offers an effective alternative and upgrade to SPR, opening a digital paradigm for complex molecular analysis and drug discovery.

biophysics↗

In situ loading of biologics on and tissue redirection of circulating extracellular vesicles with an anchoring nanobody

Extracellular vesicles (EVs) are promising nanocarriers of therapeutic macromolecules, but ex vivo production, cargo loading and quality control constrains clinical translation. Here we demonstrate that NEV3, an EV-anchoring nanobody identified by phage display, binds EVs from multiple sources through interactions involving fibronectin and loads diverse proteins onto EVs, resulting in enhanced intracellular delivery and biological activities in vitro and in vivo. Conjugating NEV3 to target proteins hijacks circulating EVs, prolonging circulation and altering tissue distribution in vivo. When fused with an GFP nanobody or protein A, NEV3 enabled simultaneous capture and loading of circulating GFP or immunoglobulin G (IgG) antibodies on endogenous EVs with enhanced intracellular delivery in vitro and redistribution to liver in vivo. Intravenous protein A-NEV3 significantly reduced circulating IgG and anti-dsDNA antibodies in systemic lupus erythematosus mice with improved survival and reduced pathologies. Intravenous anti-transferrin receptor-protein A-NEV3 redirected circulating EVs to muscle and alleviated muscle pathologies in dystrophin-deficient mdx mice. Our study demonstrates that NEV3 enables in situ loading of protein therapeutics and tissue-specific delivery of circulating EVs, providing a modular strategy for loading cargo onto and redirecting circulating EVs in vivo.

bioengineering↗

A sunflower FLS2 guides reconstruction of recognition of a Xanthomonas flg22 escape variant across divergent FLS2 receptors

FLS2-mediated perception of the bacterial flagellin epitope flg22 is frequently compromised by pathogen sequence variation, and Val14-containing Xanthomonas flg22 variants remain unrecognized by multiple characterized expanded-recognition FLS2 homologues. Using AlphaFold 3-based structural screening of 256 natural FLS2 homologues against the flg22 epitope from Xanthomonas campestris pv. campestris (flg22Xcc), we identified sunflower HaFLS2-1 as the top structural candidate and experimentally validated its recognition through biochemical and immune-response assays. We then used ligand-proximal HaFLS2-1 residue states as a donor reference for iterative engineering of divergent FLS2 homologues from two distinct plant families, PsFLS2 and TjFLS2. Distinct recipient-specific residue solutions emerged in the two backgrounds, and representative functional variants carrying ten or fewer amino-acid substitutions acquired flg22Xcc recognition. Together, these results show that, for this defined flg22Xcc escape challenge, AF3-guided discovery and iterative local sequence exploration can reconstruct recognition across divergent FLS2 scaffolds through a limited number of receptor substitutions.

plant biology↗

SEEKER: A genome-scale library-on-library screening platform for deciphering T cell recognition of antigen

Decoding which antigens activate a given T cell receptor (TCR) is a central challenge in immunology. We present SEEKER, a functional genome-scale library-on-library screening platform built on three elements: a Jurkat-derived T-APC cell (TAPCell) that combinatorially expresses one TCR and one peptide-MHC drawn from separate libraries together with an NFAT activation reporter; encapsulation of single TAPCells in a thermos-reversible hydrogel for isolated clonal expansion, so recognition is read out as intraclonal activation; and dual-asymmetric PCR that links TCR- and pMHC-encoding sequences into a heritable unit, enabling progressive hit enrichment over screening rounds. SEEKER interrogates ~10^8 TCR-pMHC combinations per run without prior knowledge. Screening joint-infiltrating CD8+ T cells from HLA-B*27+ ankylosing spondylitis patients against proteome-wide libraries validated 53 TCR-peptide pairs, uncovered extensive cross-recognition of self and common viral epitopes, and revealed highly polyreactive T cells recognizing up to 80 autoantigens, implicating virus-triggered poly-autoreactivity in multi-organ autoimmune diseases.

immunology↗

ACAN regulates VSMC mitochondrial homeostasis through the YAP1/TAZ pathway and contributes to the onset and progression of aortic dissection

Objective: Aortic dissection (AD) is a serious, life-threatening cardiovascular crisis. While vascular proteoglycans normally buffer hemodynamic stress, their aberrant accumulation in the AD aorta predisposes to rupture. Aggrecan (ACAN) is among the most frequently elevated proteoglycans in this setting, yet its pathogenic relationship to AD remains undefined. This study aimed to investigate the role of ACAN in AD and identify potential therapeutic targets. Approach and Results: We employed human tissues, animal models, and cell cultures. Western blotting and immunohistochemistry (IHC) were performed on aortic samples from AD patients and controls to assess contractile markers, MMPs, ACAN, and SOX9. In vivo, AD was induced in mice using {beta}-aminoisobutyric acid (BAPN) and Ang II, with AAV-mediated ACAN knockdown in VSMCs. Histological staining confirmed model validity and enabled assessment of AD incidence, mortality, and protein expression changes. In vitro, human aortic vascular smooth muscle cells (HAVSMCs) were stimulated with Ang II, and SOX9 and ACAN were silenced via siRNA to evaluate the functional impact of ACAN downregulation. In human AD aortas, elevated ACAN and its upstream transcription factor SOX9 drove VSMC phenotypic switching and ECM degradation. In mice, ACAN knockdown corrected AD-induced medial structural disruption, elastin fragmentation, and collagen deposition, markedly reducing incidence and mortality while curbing excessive mitochondrial fission and rescuing functional integrity. ACAN silencing attenuated Ang II-induced mitochondrial damage in HAVSMCs via the RNA-seq-identified YAP1/TAZ pathway, and Verteporfin restored homeostasis. Conclusion: ACAN is aberrantly expressed in AD and murine aortas. ACAN downregulation delays disease progression by preserving mitochondrial homeostasis and function via the YAP1/TAZ pathway.

pharmacology and toxicology↗

Genome-wide association study and genetic differentiation analysis reveal the genetic basis of Vibrio harveyi resistance in blackspotted croaker (Protonibea diacanthus)

Vibrio harveyi is a primary causative agent of vibriosis, leading to catastrophic economic losses in the blackspotted croaker (Protonibea diacanthus) aquaculture. However, the genetic architecture underlying its resistance remains poorly understood. In this study, we conducted the first integrated genome-wide association study (GWAS) and genetic differentiation analysis (F_ST) to investigate the genetic basis of V. harveyi resistance. A total of 450 juveniles were challenged, and 300 individuals (comprising 150 resistant and 150 susceptible) were selected for whole-genome resequencing. Genomic heritability (h^2) was estimated at 0.374+/-0.29 for survival time (ST) and 0.237+/-0.185 for survival status (SS), indicating moderate genetic control. Notably, an exceptionally high genetic correlation (r_g = 0.999) was observed between ST and SS, while resistance traits were genetically independent of growth performance (r_g < 0.03). Through the convergence of GWAS and selection sweep signals, a major-effect QTL was identified on chromosome 4. Candidate gene prioritization identified high-confidence targets involved in post-transcriptional regulation and mRNA stability, specifically elavl4 (harboring a top-tier exon variant), rorb, cbpc6, and epn4. Functional enrichment analysis further revealed that resistance is significantly associated with "rRNA processing", "mRNA surveillance pathway", and "nucleocytoplasmic transport", suggesting that efficient RNA metabolic control is a critical determinant of host survival. These findings provide novel insights into the non-canonical immune mechanisms of P. diacanthus and offer robust molecular markers for marker-assisted selection and genomic selection, facilitating the development of disease-resistant strains in the sciaenid industry.

genomics↗

Integrated Transcriptomics and Histological Analysis Reveals Gill Adaptation Mechanisms to Hypoxic Stress in Largemouth Bass (Micropterus salmoides)

Largemouth bass (Micropterus salmoides) is a globally significant freshwater aquaculture species known for its rapid growth, high-quality flesh, and excellent nutritional value. Given the increasing incidence of hypoxia in its aquaculture setting, understanding the molecular mechanisms underlying gill adaptation to hypoxic stress is critical for improving resilience in this species. To achieve this, we employed full-length transcript sequencing using PacBio Iso-Seq and high-throughput Illumina RNA-seq to construct a comprehensive transcriptome profile. Histological analyses revealed apparent structural alterations in gill tissues under hypoxic stress (dissolved oxygen: 2.0 +/- 0.5 mg/L, duration: 96 h), including curved and swollen gill filaments, apoptosis, and epithelial cell vacuolation. Comparative transcriptomic analysis revealed pronounced shifts in the expression of genes involved in energy metabolism, angiogenesis, immune responses, cell proliferation, and apoptosis. Notably, the down-regulation of genes associated with cell cycle and proliferation suggests that M. salmoides may conserve energy by suppressing cell division under hypoxic conditions. In contrast, the increased expression of apoptosis-related genes, including Caspase 7, indicates that apoptosis may play a protective role to maintain tissue homeostasis under hypoxia. Furthermore, the suppression of chemokine-mediated immune pathways implies that hypoxia redirects energy toward essential metabolic processes at the cost of local immune responses. GO and KEGG enrichment analyses identified TNF- and chemokine-mediated signaling pathways as key regulators for tissue homeostasis and adaptive responses to hypoxic stress. These findings enhance our understanding of the mechanisms underlying hypoxia adaptation and provide valuable genetic resources for breeding strategies aimed at enhancing hypoxia tolerance in M. salmoides.

genomics↗

From pelagic to reef: Genomic basis of morphological adaption during life-history transition in the orbicular batfish (Platax orbicularis)

Metamorphosis enables teleosts to transition between ecological niches, driving lineage-specific morphological innovations. The orbicular batfish (Platax orbicularis) exemplifies this, transforming from a pelagic larva into a reef-associated juvenile with extreme allometric fin elongation. Here, we generated a chromosome-level genome assembly of 715.46 Mb, with 99.4% completeness. Integrating comparative genomics with tissue-specific transcriptomics, we demonstrate that such transformation is a systemic process shaped by both long-term evolutionary adaptation and short-term developmental reprogramming. Comparative analyses revealed expansion of development-related gene families and significant evolution of immune- and sensory-related families, likely associated with ecological niche transition. Spatiotemporal clustering of metamorphosing fin transcriptomes identified rapid cell cycle activation accompanied by sustained suppression of basal metabolism, indicating developmental trade-offs during fin elongation. Several differentially expressed genes involved in cell cycle (ankfn1 and mcph1), ossification (cyp24a1 and sema4d), and extracellular matrix remodeling (sdc4 and serpine1) exhibited positive selection, suggesting coordinated regulatory and protein-level adaptation. Among an extensive repertoire of 49 hox genes, four (hoxb6b, hoxc8a, hoxd9b, hoxd10a) were differentially expressed, implicating developmental regulators in fin remodeling. Together, our findings offer new insights into the evolutionary context and molecular mechanisms of metamorphosis in orbicular batfish, and advance the understanding of adaptive evolution and metamorphosis innovations in teleosts.

genomics↗

A pan-genomic and methylomic analysis reveals a distinct signature in Vibrio alginolyticus isolated from wild fish

Vibrio alginolyticus is a ubiquitous opportunistic pathogen in estuarine and marine ecosystems and a leading cause of vibriosis in humans and aquatic animals. Yet genomic and epigenomic landscapes of V. alginolyticus from wild fish remain poorly defined. Here, we present a pan-genomic and methylomic framework based on 89 high-quality V. alginolyticus genomes, including 46 newly sequenced isolates recovered from 105 wild marine fish representing 17 species in Hong Kong waters of the South China Sea, plus all publicly available complete genomes. We reported a 32.38% prevalence of V. alginolyticus in wild fish. Phylogenomic analysis resolved four distinct clades, with Clade IV dominated by wild-fish isolates and characterized by low virulence and low antimicrobial resistance. Pan-genomic analysis revealed a closed pan-genome with a substantially depleted accessory genome in Clade IV. We identified a total of 763 antimicrobial resistance (AMR) genes from 89 strains, which covered 32 gene types and spanned four resistance mechanisms, with efflux pumps as the most prevalent strategy. Critically, resistance genes were almost exclusively chromosomal rather than plasmid-borne. Virulence profiling confirmed the presence of tlh and T6SS genes but the absence of the high-risk human pathogenic factors tdh and ctxB. Methylomic analysis using nanopore sequencing uncovered 355 DNA methyltransferases and 140 strain-specific methylation motifs with dominance by 6mA. Notably, 71.90% of methyltransferases resided in the accessory genome and were disseminated by mobile genetic elements, especially plasmids. Motif combinations were highly strain-specific and largely decoupled from phylogeny, except for a shared motif signature defining Clade IV. The GATC motif was essential across all V. alginolyticus strains and showed significant enrichment in virulence gene regions but not in AMR gene loci, revealing differentiated epigenetic modification characteristics. This study nearly doubled the number of high-quality complete genomes available for V. alginolyticus and provides the first comprehensive methylomic characterization for this species. Our findings reveal a phylogenetically distinct, low-virulence, low-resistance V. alginolyticus clade widely shared among wild fish, with important implications for One Health surveillance and evolutionary adaptation of marine pathogens.

genomics↗

Meta-analysis of gut microbiome in largemouth bass (Micropterus salmoides) under different aquaculture systems

The teleost gastrointestinal tract hosts metabolically active microbial assemblages that play critical roles in nutrient use, immune regulation, physiology, behavior, growth, reproduction, and health status. However, the extent to which aquaculture production systems restructure these communities remains poorly defined. In this study, metagenomic sequencing was applied to characterize gut microbiota in largemouth bass (Micropterus salmoides) reared under four representative farming conditions: industrial aquaculture (IA), captive pond-based farming (CA), ordinary pond aquaculture with healthy fish (PH), and ordinary pond aquaculture with diseased fish (PD). Results revealed that the four groups exhibited pronounced differences in microbial diversity, taxonomic composition, functional capacity, carbohydrate-active enzyme profiles, and antibiotic resistance genes (ARGs). Notably, bacterial taxa accounted for more than 95% of the gut microbial communities across all groups. IA fish showed greater microbial richness and diversity than CA and PH fish, consistent with a more complex and potentially more stable intestinal ecosystem under industrialized rearing conditions. Taxonomic profiling at both the phylum and genus levels identified production system-specific microbial signatures. In particular, opportunistic pathogens, including Aeromonas veronii and Aeromonas hydrophila, were disproportionately enriched in CA fish, suggesting a microbiota profile associated with increased disease vulnerability. Functional prediction analysis further indicated distinct metabolic states among groups, with purine and fatty acid metabolism enriched in PD fish, potentially reflecting disease-associated disruption of host-microbiota interactions. Carbohydrate-active enzyme analysis revealed substantial variation in microbial carbohydrate-processing potential, whereas ARG profiling indicated that farming conditions were linked to distinct gut resistome patterns. Collectively, these findings identify aquaculture regimes as a key ecological driver of intestinal microbiome structure in largemouth bass and provide a mechanistic basis for optimizing microbiome-informed health management in aquaculture systems. Keywords: Largemouth bass (Micropterus salmoides); gut microbiota; aquaculture modes

microbiology↗

Ileal Gpbar1 gates depressive phenotypes via gut to brain "vagal-NTS-PVN"GABAergic axis

Depression represents a typical mental condition, yet whether intestinal metabolic signals drive central neural circuits remains unclear. Here we identify ileal enteric neuronal Gpbar1 as a previously unrecognized peripheral node that coordinates gut-to-brain communication to prevent depression-like behavior through a vagus-dependent, nucleus tractus solitaries (NTS)-paraventricular nucleus (PVN) signaling axis. The enteric plexus Gpbar1 is predominantly expressed on a subpopulation of GAD1-positive GABAergic neurons. Chronic restraint stress suppresses Gpbar1 expression, triggers glycolytic reprogramming and mitochondrial distress in both ileum and hypothalamus. Oral Gpbar1 agonism with INT-777 reverses hypothalamic HK2/TOM20 alterations and behavioral abnormalities by enhanced ileal mTOR/HIF-1 alpah signaling and glycolysis-related metabolite shifts, an effect specifically abolished by subdiaphragmatic vagotomy or chemogenetic silencing of PVN GABAergic neurons. Our findings establish ileal Gpbar1 as a gut-derived metabolic sensor that engages a defined vagal-brainstem-hypothalamic inhibitory circuit to regulate depressive phenotypes, shifting the roadmap from brain-centered to gut-initiated antidepressant mechanisms and unveiling a compelling peripheral therapeutic strategy that bypasses intractable central brain-directed intervention.

neuroscience↗

Isolation, identification, and comparative genomic analysis of Vibrio harveyi as a causative agent for a skin ulcer disease of endangered fish Chinese bahaba (Bahaba taipingensis)

Chinese bahaba (Bahaba taipingensis) is a fish species endemic to China and listed as a Class I nationally protected wild animal. Although significant breakthroughs have been achieved in its artificial breeding, high mortality rates persist during cultivation. Beginning in August 2024, sustained mass mortalities occurred in artificially farmed Chinese bahaba at a farm in Guangdong Province. Diseased fish exhibited pronounced skin ulcers, ascites, gastroenteritis, and splenomegaly. Histopathological examination revealed severe necrotizing gastroenteritis, gill necrosis and edema, muscle congestion with inflammatory cell infiltration, hepatic congestion with marked vasculitis, renal interstitial necrosis with tubular atrophy, and abundant melanomacrophage centers in the spleen. Based on biochemical characterization and whole-genome phylogenomic analysis, the isolated strain HCY1 was identified as Vibrio harveyi. Artificial infection experiments with this strain resulted in 100% mortality and reproduced clinical signs similar to those in naturally infected fish. Antimicrobial susceptibility testing showed that HCY1 remained susceptible to florfenicol and trimethoprim-sulfamethoxazole, but was resistant to multiple antibiotics, including {beta}-lactams and tetracyclines. Comparative genomic analysis revealed that HCY1 carries various antimicrobial resistance genes primarily conferring resistance to {beta}-lactam and tetracycline antibiotics, consistent with the phenotypic resistance profile. The strain also harbored numerous virulence genes, including complete type III and type VI secretion systems (T3SS and T6SS), tlh, hap/vvp, and rtxB. Its plasmids encoded multiple virulence-enhancing genes, such as mcpA, pal, and esiB. To our knowledge, this is the first systematic investigation of a disease outbreak in cultured Chinese bahaba, and provides valuable insights for disease control and population conservation of this endangered species.

microbiology↗

Killer-cell dominance dichotomy governs tumor immune networks and stratifies inflamed cancers

Cancer immunotherapy benefits remain limited, even among "hot" tumors with high killer lymphocyte infiltration. Here, we investigated the population-level architecture of killer cells based on nearly 5,000 pan-cancer scRNA-seq samples, together with orthogonal validation by spectral cytometry and spatial transcriptomics. Unlike the prevailing "hot-cold" paradigm, which assumes coordinated infiltration of multiple cytotoxic lineages, we uncovered a conserved framework wherein terminal cytotoxic immunity in individuals or malignancies diverges into states dominated by either exhausted CD8+ T cells (Tex) or CD56dimCD16hi NK (NK1) cells. Despite the complexity of the tumor microenvironment, Tex-NK1 divergence governs the primary axis of tumor-intrinsic and tumor-extrinsic variance. Distinct from the conventional view that NK cells positively contribute to immunotherapy efficacy, NK1-skewed tumors, although highly cytolytic, are refractory to current immune checkpoint blockade regimens. This killer divergence defines a foundational axis of cancer immunity and provides a resource for prioritizing next-generation targets for NK-directed immunotherapy.

immunology↗

Structural Basis of Nidovirus Replication Organelle Evolution Revealed by the Arterivirus DMV Pore Complex

Positive-strand RNA viruses of the order Nidovirales - which include coronaviruses and arteriviruses - remodel host membranes into double-membrane vesicles (DMVs) as replication organelle to shield viral RNA synthesis from immune sensors. In coronaviruses, newly synthesized RNA is exported to the cytoplasm through a massive DMV pore complex formed by viral non-structural proteins (nsps). However, it remains unknown whether this elaborate architecture is unique to large-genome coronaviruses or a universal hallmark of the order. Here, we integrate in situ cryo-electron tomography and single-particle cryo-electron microscopy to resolve the atomic structure of DMV pore complex within its native membrane environment, from Equine Arteritis Virus (EAV), a prototype arterivirus with small genome. Despite lacking obvious sequence homology, the minimal EAV pore shares conserved architectural principles with its elaborate coronavirus counterpart. EAV pore complex is formed by a 12:12 stoichiometry of nsp2 and nsp3 protomers organized into four stacked concentric rings on double-membrane, yet generating pronounced structure symmetry mismatch. Functionally, the complex displays a distinct pore profile while preserving a positively charged central channel, essential for viral replication and transport. These findings demonstrate that, despite diversity in genome size and virion morphology, nidovirus replication organelles exhibit striking evolutionary conservation at the atomic structural level. Collectively, we propose that the order Nidovirales can be unified at the ultrastructural level by this conserved signature pore complex on the DMV-based replication organelle.

microbiology↗

The HUSH Complex Dictates EBV-transformed B cell Sensitivity to NK Cell Surveillance Through Repression of NKG2A Ligand γ-Proto-cadherin

Natural Killer (NK) cells control Epstein-Barr virus (EBV), though how EBV+ B-cells escape NK surveillance to form tumors remains unknown. To gain insights, we performed a human genome-wide CRISPR-Cas9 screen in EBV-transformed lymphoblastoid cell lines (LCL). This revealed that the HUSH complex maintains LCL sensitivity to NK. HUSH knockout (KO) de-repressed LCL protocadherin gamma (PCDHG), typically expressed by neurons. PCDHG expression protected LCLs from NK and was necessary for HUSH KO-driven NK resistance. CRISPR analyses revealed NKG2A/CD94 as the PCDHG NK inhibitory counter-receptor, and NKG2A KO restored NK lysis of HUSH KO LCLs. HUSH perturbation impaired NK control of murine LCL xenografts in vivo. A subset of follicular lymphoma (FL) upregulate PCDHG, and PCDHG KO enhanced FL lysis by NK. Therefore, HUSH plays dual roles in foreign DNA surveillance and in support of NK, potentially as a neuronal dont kill me signal that can be exploited by transformed cells.

immunology↗

PRISMA: A tensor-based framework for deconstructing the genetic architecture of complex diseases, with application to diabetic retinopathy

Complex-disease GWAS compress heterogeneous, tissue-dependent genetic effects into global locus-level statistics, masking local regulatory routes through which polygenic risk contributes to disease architecture. Here we introduce PRISMA (Polygenic Risk Integration via Summary-statistics Multi-tissue Array-decomposition), a summary-statistics framework for quantifying tissue-resolved genetic heterogeneity hidden within aggregate GWAS signals. PRISMA integrates GWAS and multi-tissue cis-eQTL data using graph Laplacian-regularized block-wise factorization, preserving local linkage disequilibrium topology during decomposition. Applied to diabetic retinopathy, PRISMA deconvolved aggregated polygenic risk into three tissue-biased genetic axes corresponding to vascular-metabolic, systemic immune-inflammatory, and retina-specific neurodegenerative trajectories. The framework prioritized 549 axis-associated targets, including 403 below the conventional genome-wide significance threshold, and showed higher tissue-regulatory resolution than PCA, NMF, and K-means. A height GWAS negative-control analysis supported trait-dependent regulatory reprioritization within a shared eQTL-mappable framework. Independent single-cell transcriptomic analyses supported axis-specific enrichment across fibrovascular, immune, and retinal compartments. Exploratory vitreous humor proteomic and metabolomic profiling further nominated candidate molecular correlates of downstream convergence. PRISMA reframes complex-disease GWAS from aggregate locus discovery toward quantitative, LD-aware mapping of tissue-resolved genetic trajectories.

genomics↗

Linking neural representations to behavior using generalization

Sensory-guided decisions are the result of sensorimotor transformations across many brain areas. Recent studies have localized the motor- and decision-related components of these transformations using brain-wide neural recordings. It has been more difficult to localize sensory computations in the same way. Here we developed a new approach for linking sensory computations to behavior by training mice to discriminate between two stimuli and testing their responses with new stimuli. In separate animals, we calculated the similarity of neural representations between train and test stimuli, using recordings of up to 73,000 simultaneously-recorded neurons from 9 primary and higher-order visual areas (HVAs) across layers 2 and 3. We found that neural discrimination on test but not train images correlated with behavioral discrimination, and this relation required prior visual experience as it was not present in dark-reared mice. The link between neural and behavioral performance was highest in the medial HVAs, suggesting this region is a critical component of sensory transformations and generalization.

neuroscience↗

OneGenomeRice (OGR): A Genomic Foundation Model for Rice

The transition of genomics to a predictive intelligence discipline is driven by the advent of genomic foundation models. While substantial progress has been observed in all-life and human-centric models, plant species, particularly for the staple crops, remains hindered by a lack of models. Here we introduce OneGenome-Rice (OGR), a rice (Oryza sativa) genomic foundation model pre-trained on a genomic dataset comprising 422 high-quality genomes of cultivated and wild rice. OGR is engineered upon a Mixture of Experts (MoE) transformer architecture with 1.25-billion parameters and supports an ultra-long context window of up to 1 million base (Mb) pairs at single-nucleotide resolution. A comprehensive benchmark demonstrated that OGR significantly outperforms existing state-of-the-art multi-plant or all-life genome models in 11 categories (e.g. motif identification, sweep detection, etc). We further demonstrated the utility of OGR in several downstream applications, such as indica-japonica subspecies introgression analysis, identification of agronomy trait-associated functional loci and prediction of gene expression from DNA sequences. These results establish OGR as a promising foundational computational infrastructure for rice functional genomics and precision breeding. The OGR and its fine-tuned models, including pretrained weights, training code and the rice genomic benchmark suit, have been fully opened.

genomics↗