Biology subjects

Wei, W.

Publications and source records attributed to Wei, W..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Targeting Microbial Bile Salt Hydrolase Reprograms Bile Acid Metabolism and Ameliorates Metabolic Dysfunction-Associated Steatohepatitis in Mice

Microbial bile salt hydrolase (BSH) plays a central role in shaping bile acid composition and gut-liver metabolic signaling, yet its therapeutic potential in metabolic dysfunction-associated steatohepatitis (MASH) remains incompletely defined. Here, we evaluated the efficacy of the non-absorbable BSH inhibitor GR-7 in a diet induced mouse model of steatohepatitis using early and late intervention strategies with different dosing regimens. GR-7 reduced food intake and exerted stage- and dose-dependent therapeutic effects, with early intervention robustly suppressing hepatic fibrosis even at low dose, whereas late-stage administration of high-dose GR-7 markedly reduced hepatic steatosis and inflammation, as evidenced by decreased liver weight, hepatic triglyceride and cholesterol levels, and plasma ALT. Although late intervention did not result in statistically significant histological reversal of fibrosis, a trend toward improvement was observed, together with suppression of fibrogenic gene expression, suggesting that prolonged treatment may further enhance antifibrotic efficacy. Mechanistically, GR-7 effectively inhibited microbial BSH activity in vivo, leading to reduced cecal unconjugated primary and secondary bile acids--including deoxycholic acid and lithocholic acid, which was associated with improved gut barrier integrity and reduced hepatic inflammation. In parallel, BSH inhibition reprogrammed hepatic bile acid metabolism toward activation of the alternative CYP27A1-mediated synthesis pathway, accompanied by reduced food intake, thereby contributing to improved hepatic lipid accumulation. Furthermore, late-stage high-dose treatment selectively remodeled the hepatic immune landscape rather than fully restoring homeostasis, highlighting immune recalibration as a key component of therapeutic response. Together, these findings identify microbial BSH inhibition as a promising microbiome-targeted therapeutic strategy for MASH. HighlightsO_LIThe non-absorbable BSH inhibitor GR-7 improves steatosis, inflammation, and fibrosis in of Western diet-induced steatohepatitis model in mice in a dose-dependent manner. C_LIO_LIGR-7 reduces food intake and body weight gain. C_LIO_LIGR-7 reduces cytotoxic secondary bile acids, including DCA and LCA. C_LIO_LIGR-7 reprograms hepatic bile acid metabolism and immune responses. C_LI

pharmacology and toxicology↗

bioRxiv2026

Exploration of Orally Disintegrating Tablet for Sublingual Vaccination against Mucosal Bacterial Infection

Oral mucosal bacterial infections impose a substantial global disease burden, yet current clinical management typically reduces microbial load only transiently and rarely establishes durable protection at the oral surface. Analysis of 200 patients with periodontitis revealed that elevated levels of pathogen-specific salivary secretory Immunoglobulin A (sIgA) were strongly associated with reduced bacterial burden and improved clinical periodontal outcomes, identifying sIgA as a key determinant of effective oral protection. Guided by this observation, we developed a sublingual, orally disintegrating tablet vaccine (Capot) that incorporates bacterial extracellular vesicles providing a comprehensive repertoire of native antigens and multiple pathogen-associated molecular patterns, encapsulated within a calcium phosphate nanoshell to enable safe transmucosal delivery to submandibular lymph nodes. The rapidly disintegrating tablet format minimizes inadvertent swallowing and enhances local mucosal bioavailability. In mice and non-human primates, Capot induced robust and long-lasting salivary sIgA responses without overt oral mucosal or gastrointestinal inflammation and conferred strong protection against primary, recurrent, and antibiotic-resistant periodontitis. Together, these findings establish sublingual tablet vaccination as a practical strategy for selectively engaging oral mucosal immunity and preventing chronic bacterial diseases at oral mucosal surfaces.

bioengineering↗

bioRxiv2026

Cellular transcriptomics reveals evolutionary adaptation and rumination of vertebrate stomachs

Stomach, an essential digestive organ in vertebrates, has undergone significant changes in its morphology, chamber numbers, and physiology, in response to dietary diversity. However, its cellular and molecular basis underlying evolutionary adaptation remains largely uncharacterized. Here we report a single-cell and spatial transcriptomic atlas of stomachs from 23 vertebrate species with diverse feeding habits (e.g., omnivores, carnivores, and herbivores) and gastric architectures, including monogastric (e.g., primates), two- (e.g., aves), three- (e.g., camel) and four-chambered stomachs (e.g., sheep). We reveal conservation and divergence in cell-type composition, developmental trajectory, evolutionary origins and forces, spatial distribution, gene regulatory network and effect, metabolic signature and disease susceptibility associated with the feeding habits and stomach chamber. The diversification of plant based diets, particularly the expansion of coarse fibrous plants that required enhanced mechanical processing, driving the rapid evolution of specific cells and associated genes. Ruminants have evolved chamber-specific cell types with enhanced expressions of relevant functional genes (e.g., KRT6A in spinous cells of forestomach, LUC7L in SMCs of abomasum, and TSPYL4 in abomasal enteroendocrine cells), which were validated by fluorescence in situ hybridization and spatial transcriptomic profiling. The three cell-specific expressed genes showed significant effects on cell proliferation and migration by RNA interference to knock down their expressions. In particular, the knockdown of LUC7L in SMCs promotes a transition from a contractile to a synthetic phenotype, and Luc7l knock-out in mice delays gastric emptying and impairs gastric motility, demonstrating that this gene is essential for the coordinated multi-chambered gastric motility that underlies rumination in ruminants. These findings elucidate the cellular and molecular adaptations underlying the evolution of stomach coupled with the emergence of diet land plants. Our results provide potential cellular and gene targets for engineering monogastric animals to acquire functional rumination digestive capabilities as well as for medication of gastric mobility.

evolutionary biology↗

bioRxiv2026

Pathogenesis of H5N1 Clade 2.3.4.4b in dry Jersey cows following intramammary inoculation shows within-host compartmentalization

Dairy cattle have emerged as a prolific amplifying host for highly pathogenic avian influenza virus (HPAIV) H5N1 clade 2.3.4.4b and a new source for cross-species and zoonotic transmission. Independent introductions of H5N1 with unclear exposure routes have been reported in several dairy herds across the U.S. These events escalate the pandemic potential of HPAIV H5N1 as transmission within and between mammalian species present opportunities for mammalian adapted H5N1 viruses to emerge. Although more than 1000 herds have been infected, bovine H5N1 influenza virus pathogenesis, transmission, and evolution in dairy cattle remains not well characterized. Working with H5N1-infected lactating cattle in high containment has been a major challenge due to the required infrastructure and logistics associated with housing, husbandry, and waste management for this model. Thus, developing alternative bovine models that maintain biological relevance while reducing operational complexity is warranted. Here, we evaluate the susceptibility of lactating Jersey cattle in the dry-off period, and characterize the effect of inoculation dose on the mammary pathogenicity of HPAIV H5N1 genotype B3.13. The results of this study demonstrate that dairy cows 21 days into the dry-off period are highly susceptible to HPAIV H5N1, recapitulating the severe clinical and pathological outcomes observed in infected lactating cows under experimental conditions and in field cases. We also observed an association between virus dose and the onset and severity of mastitis in individual udder-quarters. Overall, this study demonstrates that dry cows can provide a feasible model to study H5N1 virology, pathology, and humoral immunology in dairy cows.

microbiology↗

bioRxiv2026

SMECT: a framework for benchmarking post-GWAS methods for spatial mapping of cells associated with human complex traits

Spatially resolving the cellular basis of complex human traits is essential for elucidating disease mechanisms, yet the comparative performance of computational methods for this task has not been systematically evaluated. Here, we present SMECT (Spatial Mapping Evaluation of Complex Traits), the first comprehensive framework for systematically evaluating methods that integrate genetic data with spatial transcriptomics. SMECT combines a biologically realistic simulation engine, a curated resource of 21 diverse real-world datasets, and a multi-faceted assessment toolkit. Using this framework, we benchmarked three state-of-the-art methods--DESE, S-LDSC, and scDRS--across 19 complex traits. Our analysis reveals a fundamental trade-off between detection sensitivity and biological specificity. We demonstrate that while S-LDSC identifies extensive spatial signals, it suffers from inflated non-specific significant associations. Conversely, scDRS is highly specific but conservative, performing well only in tissues with strong biological signals while missing subtle associations in sparser datasets. DESE overcomes these limitations, consistently achieving high power and robust specificity across both simulated and real-world scenarios. SMECT provides critical guidelines for method selection and serves as a foundational resource for developing robust spatial analyses of human complex traits. The framework is publicly available at https://github.com/pmglab/smect.

bioinformatics↗

bioRxiv2026

BOLE: A Knowledge-Enhanced Multi-Agent Framework for Intelligent Genomic Breeding

Genomic breeding has become increasingly data-intensive, yet the practical integration of heterogeneous bioinformatics tools into coherent analytical workflows remains a major bottleneck. To address this, we present BOLE, a knowledge-enhanced multi-agent AI framework for autonomous genomic breeding analysis. By integrating a structured script knowledge base with constrained large language model reasoning, BOLE translates high-level analytical intent into validated and executable workflows. Specialized agents collaboratively perform intent interpretation, task decomposition, dependency reasoning, workflow synthesis, and controlled code generation to assemble validated, executable workflows without predefined pipelines. BOLE supports core genomic breeding tasks, including genome-wide association studies, heritability estimation, germplasm evaluation, and genomic selection while preserving artifact-level provenance to ensure reproducibility. Implemented as a web service, BOLE enables end-to-end genomic breeding analysis from raw data to actionable results for non-expert users. This work establishes a generalizable paradigm in which knowledge-driven multi-agent AI bridges the gap between mature analytical methods and their real-world application in genomic breeding.

genomics↗

bioRxiv2026

Spatial multi-omics unveils the monoclonal origin, neuroendocrine plasticity, and microenvironment niches in combined small cell lung cancer

Combined small-cell lung cancer (cSCLC) is a rare and aggressive subtype of small-cell lung cancer (SCLC) characterized by mixed histology comprising SCLC and non-small cell lung cancer (NSCLC) or large cell neuroendocrine carcinoma (LCNEC) components. Despite its histological heterogeneity and even poorer prognosis than de novo SCLC, cSCLC is clinically managed as pure SCLC, largely due to the lack of molecular insights into its biology, lineage plasticity, and tumor microenvironment (TME). Here, we perform multi-omics profiling, including spatially-resolved whole-exome sequencing (WES), spatial transcriptomics (ST) and single-nucleus RNA sequencing (snRNA-seq), across 19 treatment-naive cSCLC tumors spanning all major histological subtypes. Our analysis reveals that SCLC and NSCLC/LCNEC components share a monoclonal origin, with histological divergence characterized by distinct mutation and copy number alteration patterns. ST and snRNA-seq uncover spatially exclusive or interspersed tumor domains, with distinct TME compositions and immune landscapes. Notably, fibroblast-rich regions enriched for an aggressive fibroblast subtype form boundaries between tumor domains, potentially influencing immune TME and treatment responses. We identify extensive lineage plasticity within cSCLC, including active LUAD-to-SCLC transdifferentiation and SCLC subtype coexistence, suggesting transitional cellular states not captured by traditional diagnostics. Leveraging these insights, we developed the cSCLC Detector, a sensitive mutation-based diagnostic assay that improves the detection of cSCLC in tissue and liquid biopsy samples. Our findings offer critical insights into cSCLC lineage plasticity, cellular evolution, and microenvironmental interactions, underscoring the need for tailored treatment strategies and diagnostic frameworks for this aggressive cancer subtype.

cancer biology↗

bioRxiv2026

Novel repressors of cambium activity in Arabidopsis

Wood is the greatest reservoir of terrestrial biomass and an essential carbon sink. Formed of xylem, it is derived from the cambium, a meristematic zone within plant stems from which phloem also forms. In Arabidopsis, cell division within the cambium is promoted by three major factors: auxin, cytokinin, and the TDIF-PXY ligand-receptor pair. Meristems and other stem cell populations are typically regulated by a balance between cell division-promoting factors and those that repress cell division to control meristem size, however few factors with cambium-repressing activity are known. Here we combined transcriptomics and transcriptional network analysis, which led to identification of related homeodomain zinc-finger transcription factors, ATHB23, ATHB30, and ATHB34, that repress cambium activity. These factors inhibit cambium activity by directly binding of promoters from a subset of auxin, cytokinin and TDIF-PXY transcriptional target genes, resulting in attenuation of their transcription. Our findings thus reveal a new mechanism underpinning balanced cambium activity.

plant biology↗

bioRxiv2026

Conserved Residues in the Gα interface show subtype specificity in Gβγ coupling

Although the structural basis of selective G-protein coupling to G protein coupled receptors (GPCRs) is well characterized, the mechanisms underlying selective interactions between distinct G subtypes (Gs, Gi, Gq, and G12/13) and G{beta}{gamma} remain poorly understood. While conserved residues in G subtypes are often assumed to have similar functions, they may instead modulate coupling selectivity by altering the frequency and stability of contacts at the G:G{beta}{gamma} interface. Using molecular dynamics (MD) simulations combined with the interpretable machine learning method, Bayesian Network Model (BNM), and protein-protein proximity (BRET) assays, we show that conserved residues in the two closely related Gi/o and Gq/11 subfamilies contribute differentially to G{beta}{gamma} coupling. These conserved residue "hotspots" on Gi and Gq produced divergent functional effects on G{beta}{gamma} coupling, indicating that conservation does not ensure functional equivalence. These findings suggest that local microenvironment and paralog-specific allosteric coupling shape how conserved interface residues contribute to protein-protein coupling. The framework provides a systematic approach for dissecting subtype-specific mechanisms, with implications for drug design and for annotating the functional relevance of disease-associated variants. The computational methods used here are broadly applicable to other homologous protein families.

molecular biology↗

bioRxiv2026

A small molecule PTER-selective inhibitor reduces food intake and body weight

PTER (phosphotriesterase-related) is an amidohydrolase that mediates catabolism of the anorexigenic taurine metabolite N-acetyltaurine. However, the structural basis of PTER ligand binding and catalysis remain unknown, limiting our ability to harness this pathway therapeutically. Here we solve crystal structures of a eukaryotic PTER in apo and product-bound forms. These structures uncover an unexpected pocket homology between PTER and histone deacetylase (HDAC) enzymes. We exploit this similarity to engineer a first-in-class substrate-competitive PTER inhibitor called PTERi with nanomolar potency and >100-fold selectivity for PTER over HDACs in vitro. Administration of PTERi to diet-induced obese mice reduces feeding, enhances GLP1-RA (glucagon like peptide 1 receptor agonist)-induced weight loss, and prevents weight regain after GLP1-RA discontinuation. The structure of PTER connects histone and metabolite deacetylation into a parallel conceptual framework and enables proof-of-concept data for pharmacological inhibition of PTER in obesity.

biochemistry↗

bioRxiv2026

Deep learning-guided design of cell type-specific AAV promoters

Precise cell type targeting is critical for both clinical and experimental applications of adeno-associated viral (AAV) vectors, yet engineering vectors with cell type-specific activity remains a challenge. Here, we compared three strategies leveraging single-cell chromatin accessibility data to design cell type-specific AAV promoters, including a deep learning-based method to generate de novo regulatory sequences. When applied to target retinal ganglion cells or horizontal cells in mouse retina, deep learning-guided design consistently outperformed rational approaches, yielding synthetic promoters with stronger and more specific expression in vivo. Synthetic AAV promoters supported diverse transgenes, enabling the recording and ablation of targeted cells. Promoter activity was also maintained in human retinal organoids, suggesting that deep learning-designed sequences may be suitable for translation. Our findings highlight the potential of deep learning to synthesize cell type-specific AAV promoters and establish a versatile platform for cell type targeting with broad implications for gene therapy and basic research.

synthetic biology↗

bioRxiv2026

Python metabolomics uncovers a conserved postprandial metabolite and gut-brain feeding pathway

Most mammals consume small and frequent meals. By contrast, pythons are ambush predators that exhibit extreme feeding and fasting patterns and provide a unique model for uncovering molecular mediators of the postprandial response1-3. Using untargeted metabolomics, here we show that circulating levels of the metabolite para-tyramine-O-sulfate (pTOS) are increased >1,000-fold in pythons after a single meal. In pythons, pTOS production occurs in a microbiome-dependent manner via sequential decarboxylation and sulfation of dietary tyrosine. In both pythons and mice, pTOS administration activates a neural population in the ventromedial hypothalamus (VMH). In mice, these VMH neurons are required for the anorexigenic effects of pTOS. Chronic administration of pTOS to diet-induced obese male mice suppresses food intake and body weight. pTOS is also present in human blood, where its levels are increased after a meal. Together, these data uncover a conserved postprandial anorexigenic metabolite that links nutrient intake to energy balance.

physiology↗

bioRxiv2026

Therapeutic interleukin-2 rewires skeletal-immune circuits to reverse postmenopausal bone loss

Postmenopausal osteoporosis results from excessive osteoclast activity, but the immune circuits that limit osteoclastogenesis in the bone marrow remain poorly understood. Here, we tested a clinically accessible immunotherapy low-dose interleukin-2 (IL-2) as a therapeutic intervention in mice with established ovariectomy-induced bone loss, integrating microcomputed tomography imaging, single-cell transcriptomics, genetic perturbation, and human monocyte-osteoclast assays. Therapeutic administration of IL-2 reversed trabecular bone loss, expanded CXCR3 regulatory T cells in bone marrow, and promoted IL-10- and CGRP-producing ILC2s that were required for protection. IL-2 also acted directly on the osteoclast lineage, suppressing mouse and human osteoclastogenesis through activation of a STAT1-IRF1-dependent IFN program in RANKL-stimulated monocytes. Together, these data define an IL-2-responsive skeletal-immune network that can be therapeutically engaged to suppress osteoclastogenesis, which opens new avenues for cytokine-based immunotherapies in postmenopausal osteoporosis and related bone disorders.

immunology↗

bioRxiv2026

Spatiotemporal Mapping of Tertiary Lymphoid Structure Heterogeneity Shapes Immune Niches and Clinical Outcomes in Intrahepatic Cholangiocarcinoma

Intrahepatic cholangiocarcinoma (iCCA) is a highly lethal malignancy with limited therapeutic options. The spatial architecture and functional diversity of tertiary lymphoid structures (TLSs) in iCCA remain unclear. Here, we present a multimodal spatial atlas of TLSs and identified Intra-tumoral TLSs (iTLSs) as independent prognostic markers. Bulk proteomic profiling of 214 discovery and 155 validation cases identified a four-tier TLS-based TME classification system and supported development of a TLS-predictive random forest classifier. Imaging mass cytometry revealed that iTLS tumors harbor structured immune architectures, where M1-like tissue-resident macrophages (RTMs), dendritic cells, and CXCL13 CD4 T cells co-localize to form antigen-presenting neighborhoods (apc-CNs) spatially coupled to TLS core regions (TLScore-CNs). Single-cell spatial transcriptomics further resolved 61 TLSs into 14 spatial niches and defined a pseudo-temporal maturation continuum: aggregated, activated, and post-activated. Intra-niche communication, primarily mediated by ifnCAFs, iCAFs, and CXCL12 macrophages, evolved dynamically with maturation. Single-nucleus RNA-sequencing combined with Tangram-based spatial mapping revealed CXCL12 macrophages and iCAFs forming a peripheral band in aggregated TLSs, while ifnCAFs infiltrated TLS interiors during activation. These findings define TLS heterogeneity and provide insights for stroma-directed immunotherapy. TeaserAn atlas of tertiary lymphoid structures reveals immune-stroma interactions in Intrahepatic cholangiocarcinoma.

immunology↗

bioRxiv2025

A minor muscle stem cell population functions as metabolic Trojan horse fueling systemic aging by succinate induced epigenetic reprogramming

Inflammaging, the sustained chronic inflammation, is a hallmark of aging, yet its sustained activation mechanism remains elusive. Here, we identified muscle stem cells (MuSCs) as a driver of systemic inflammaging, evidenced by the multi-organ inflammation and aging phenotypes in MuSC specific Tet2 knockout mice. Tet2-Hdac11-Acod1-SDH axis maintained normal succinate level in MuSCs. Tet2 knockout disrupted this enzymatic cascade and led to succinate accumulation, fueling H4K31succ elevation to directly activate inflammatory gene transcription in MuSCs. The excess succinate was delivered to muscle fibers by sporadic fusion of Tet2 knockout MuSCs during muscle homeostasis, activated pro-inflammatory program, and transformed muscle to a persistent pro-inflammatory factor secretory organ, sustaining systemic inflammaging. Moreover, Tet2 was downregulated in aged MuSCs suggesting that this coupled metabolic-epigenetic mechanism was active in physiological aging. These findings reveal that a small subset of dysregulated MuSCs activate sustained whole-body inflammaging and multi-organ aging, providing new targets for rejuvenation strategy development.

cell biology↗

bioRxiv2025

DTCFinder: a bench-to-bits toolkit for label-free, whole-spectrum analysis of disseminated and circulating tumor cells in liquid biopsies

Disseminated (DTCs) and circulating tumor cells (CTCs) are rare but pivotal in understanding cancer metastasis and advancing liquid biopsy-based diagnostics. Traditional detection approaches, hindered by their dependency on epithelial markers or morphological features, impair the accurate identification of varied DTC/CTC phenotypes within liquid biopsies. We describe DTCFinder, a bench-to-bits, label-free method integrating high-throughput single-cell RNA sequencing and machine learning, enabling unbiased detection, in-depth molecular characterization, and precise tissue-of-origin tracing of DTCs/CTCs across various types of liquid biopsies, even with ultra-scarce DTC/CTC presence in peripheral blood and low sequencing depth. DTCFinder offers a robust and versatile toolkit for liquid biopsy-based cancer diagnostics, enhancing our understanding of cancer metastasis.

cancer biology↗

bioRxiv2025

Aging reveals divergent responses of AgRP/NPY neurons to diet in male and female mice.

ObjectivesNeurons coexpressing Agouti-related peptide (AgRP) and Neuropeptide Y (NPY) are an essential component of an interoceptive circuit regulating hunger and metabolism. Their activity is closely linked to metabolic state and their output is sensitive to diet-induced plasticity, which may influence the development of obesity and associated metabolic diseases. However, most studies use young male mice, even though obesity and its comorbidities are sensitive to both biological sex and aging, leaving a significant gap in our understanding of the role of these neurons in females and in older animals. Our goal was to begin to address this gap by investigating the effects of diet and age on AgRP/NPY neuronal activity in female mice in both early adulthood and midlife. MethodsFemale transgenic NPY-GFP mice aged 8 - 32 weeks were fed either a standard control chow diet or a high-fat, high-sugar diet (HFD) for 8 - 24 weeks and brain slice patch clamp electrophysiology was used to measure the response of AgRP/NPY neurons. ResultsWe found that in young, lean female mice, the baseline firing rate of AgRP/NPY neurons is significantly elevated compared to age-matched males, thus the impact of HFD on the output of these neurons is blunted relative to control. However, in the baseline firing rate of neurons from lean middle-aged female mice is significantly lower, resulting in a greater relative impact of HFD on AgRP/NPY neuronal output, the development of neuronal leptin resistance, and significant weight gain. ConclusionsBoth sex and age significantly impact the function and modulation of AgRP/NPY neurons, emphasizing the need to include these biological variables in experimental design. HighlightsO_LIMale and female mice exhibit sex-dependent responses to a high-fat diet, with female mice requiring twice as long to develop an overt obese phenotype. C_LIO_LIAgRP/NPY neurons in young, lean female mice have significantly higher activity than those from male mice. C_LIO_LIAging female mice develop obesity and altered function and leptin sensitivity of AgRP/NPY neurons. C_LIO_LIThe hypothalamic glial response to high-fat diet is influenced by sex - age interactions. C_LI

neuroscience↗

bioRxiv2025

Natural variation in regulatory code revealed through Bayesian analysis of plant pan-genomes and pan-transcriptomes

Understanding the genetic code of cis-regulatory elements (CREs) is essential for engineering gene expression and modulating agronomic traits in crops. In plants, CREs underlying rapid evolution of gene expression often overlap with structural variation in promoters, making them undetectable using single-reference genomes. Here, we develop K-PROB (K-mer-based in silico PROmoter Bashing), a computational tool that learns from intraspecies promoter sequence and gene expression variation in pan-genomes and pan-transcriptomes to identify CREs controlling gene expression. K-PROB deploys a k-mer-based Bayesian variable selection framework to prioritize causal variable identification. We demonstrate the effectiveness of our approach in maize and soybean, two staple crops species. Applying K-PROB to genes with the most highly variable promoter sequences and the most diverse patterns of expression, such as nucleotide-binding leucine-rich repeat receptors, we identified k-mers enriched for bona fide transcription factor binding sequences, and overlapping with open chromatin regions and DAP-seq binding sites. Notably, multiple significant k-mers are located within presence/absence structural variants, highlighting structural variation in promoters as key drivers of transcriptional diversity of highly variable genes. We further validated the regulatory effects of identified k-mers on gene expression using luciferase reporter assays. Our results showcase a high-throughput and pangenomic approach for probing natural intraspecies cis-regulatory diversity, discovering new causative cis-elements, and facilitating future expression engineering across plant species. Significance StatementUnderstanding which DNA sequences control gene expression is essential for crop improvement. Current methods for identifying regulatory elements rely on expensive, specialized biochemical datasets typically limited to a single genotype. We developed a computational tool that links natural sequence variation and gene expression variation to identify functional regulatory sequences. Our tool employs a statistical framework that prioritizes causality over correlation, in contrast to most genome-wide association studies. Applying it to maize and soybean, two staple crops, we uncovered known and novel regulatory elements and validated them with molecular assays. Our approach is scalable, cost-effective, and efficiently utilizes natural variation from existing pangenomic datasets, opening new avenues for future crop engineering and studying gene regulation in diverse plant species.

bioinformatics↗