Wan-Sheng Liu

As one of the earliest domesticated and most globally ubiquitous livestock, pigs (Sus scrofa) have undergone profound environmental adaptation while following human expansion across diverse bioclimatic zones. Despite their evolutionary significance, the genomic mechanisms enabling pigs to thrive in disparate ecological settings remain poorly understood. Here, we present a comprehensive global analysis using a dataset of 1,151 pig genome sequences representing 146 distinct populations. By integrating three complementary genotype–environment association (GEA) frameworks including redundancy analysis (RDA), BayPass, and latent factor mixed models (LFMM), we identified genomic regions and candidate genes associated with environmental variation. Our analysis detected several candidate genes associated with high-altitude adaptation, particularly those involved in ultraviolet radiation response. By integrating lung single-cell RNA sequencing analysis (scRNA) from high-altitude and commercial breeds, we identified ASXL1 as a candidate gene potentially involved in high-altitude adaptation. Meanwhile, scRNA revealed candidate regulatory pathways, including the NOTCH signaling pathway, that were overlooked by traditional GEA methods, suggesting the complex regulatory landscape of physiological adaptation. Together, this study integrates large-scale population genomics and scRNA to provide insights into the genetic associations and regulatory landscapes potentially contributing to environmental adaptation in domestic pigs, advancing our understanding of livestock evolutionary responses to diverse ecological conditions.

Cattle are integral to global food security, yet the molecular architecture of their complex traits remains poorly understood. Here, we present the Cattle Genotype–Tissue Expression (CattleG-TEx) Phase 1 resource (https://cattlegtex.farmgtex.org/), a substantial expansion of the pilot study. By leveraging 12,422 RNA-seq profiles across 43 tissues and 82 breeds, we characterized 433,972 primary and 161,428 non-primary regulatory effects spanning seven molecular phenotypes. This high-resolution atlas resolves 75% of GWAS signals for 44 complex traits, significantly addressing the "missing regulation" in livestock. We propose a genetic regulatory model demonstrating how variants across multiple biological layers interact with specific biological contexts to shape pheno-typic variation. Furthermore, CattleGTEx elucidates mechanisms underlying adaptive evolution between Bos taurus and Bos indicus, as well as artificial selection in dairy and beef breeds. Finally, by mapping evolutionary constraints on these regulatory effects, we demonstrate the translational value of this resource for prioritizing causal variants in human complex diseases. Together, Phase 1 of CattleGTEx provides a transformative framework for functional genomics, precision breeding, and comparative genetics.

Melanoma is an aggressive skin cancer with high metastatic potential and poor long-term survival, highlighting the need for new therapeutic targets. Although microRNAs are critical regulators of tumor progression, the function of miR-374b-5p in melanoma remains poorly understood. Here, we identify miR-374b-5p as a tumor suppressor in melanoma cells. We show that miR-374b-5p directly targets vascular endothelial growth factor C (Vegfc) and is associated with changes in mitogen-activated protein kinase (MAPK) signaling, accompanied by reduced levels of phosphorylated extracellular signal-regulated kinase (pERK) and tyrosinase (TYR). Consistent with these observations, miR-374b-5p overexpression suppresses melanoma cell proliferation, migration, and invasion in vitro. Conditioned media from miR-374b-5p-overexpressing melanoma cells is also associated with changes in macrophage-related inflammatory markers, suggesting that these alterations are consistent with a shift toward a more pro-inflammatory macrophage phenotype. In a mouse model, miR-374b-5p overexpression significantly reduced tumor growth and angiogenesis, and downregulated the lymphangiogenic factor VEGFC. Together, these findings identify miR-374b-5p as a novel regulator of melanoma progression that acts through VEGFC-associated MAPK signaling and tumor microenvironment reprogramming, identifying miR-374b-5p as a promising therapeutic candidate for melanoma.

Cattle are integral to global food security, yet the molecular architecture of their complex traits remains poorly understood. Here, we present the Cattle Genotype–Tissue Expression (CattleGTEx) Phase 1 resource ( https://cattlegtex.farmgtex.org/ ), a substantial expansion of the pilot study. By leveraging 12,422 RNA-seq profiles across 43 tissues and 82 breeds, we characterized 433,972 primary and 161,428 non-primary regulatory effects spanning seven molecular phenotypes. This high-resolution atlas resolves 75% of GWAS signals for 44 complex traits, significantly addressing the “missing regulation” in livestock. We propose a genetic regulatory model demonstrating how variants across multiple biological layers interact with specific biological contexts to shape phenotypic variation. Furthermore, CattleGTEx elucidates mechanisms underlying adaptive evolution between Bos taurus and Bos indicus , as well as artificial selection in dairy and beef breeds. Finally, by mapping evolutionary constraints on these regulatory effects, we demonstrate the translational value of this resource for prioritizing causal variants in human complex diseases. Together, Phase 1 of CattleGTEx provides a transformative framework for functional genomics, precision breeding, and comparative genetics.

Pigs are not only a key source of animal protein worldwide, but also serve as important models in biological research. With the rapid development of short- and long-read sequencing technologies, genetic studies in pigs have advanced considerably. Although extensive research has been conducted on single-nucleotide polymorphisms (SNPs) and small insertions/deletions (indels), which has provided important insights into pig domestication, evolution, and trait formation, structural variants (SVs) remain underexplored due to technical limitations in sequencing resolution, challenges in variant detection, and insufficient population-scale sampling. In this study, we constructed the Pig Structural Variant Reference Panel (PSVRP) by integrating 21 long-read and 1,193 short-read whole-genome resequencing datasets from globally diverse pig populations. A total of 319,058 high-confidence SVs were identified, comprising 196,620 insertions and 122,438 deletions. Phylogenetic and ADMIXTURE analyses revealed clear divergence between Asian and European pigs, consistent with results derived from SNPs and indels data. Selection scans highlighted candidate genes associated with key traits, such as EPAS1 and NOVA1 for high-altitude adaptation, and PLAG1 and MIB1 for body size regulation. The PSVRP provides a high-resolution, population-scale pig SVs genotyping resource. This comprehensive panel deepens our understanding of genetic variation, facilitates the discovery of functional variants underlying adaptive and economic traits, and offers new insights for precision pig breeding.

Deciphering the regulatory syntax of the genome is essential to understand the genetic and molecular architecture of complex traits, as most trait-associated variants lie in non-coding regions. Yet, functional annotation of the bovine genome remains limited, hindering our ability to unravel the mechanisms underpinning complex traits of economic and ecological importance in cattle. Here, we present a comprehensive epigenetic atlas comprising 1,138 genome-wide epigenetic profiles, including chromatin accessibility, six histone modifications, CCCTC-binding factor (CTCF) transcription factor binding, DNA methylation, chromatin conformation, and transcriptomes across 53 adult tissues, five fetal tissues, and seven primary cell types. This atlas-level data enables us to annotate around 45% of the genome as putative regulatory elements exhibiting tissue- or cell-specific regulatory activity. Leveraging sequence-to-function deep learning models, we discovered 301 sequence motifs and predicted the functional impact of genetic variants through in silico mutagenesis, thereby facilitating the decoding of the regulatory syntax of the cattle genome and fine-mapping of GWAS loci for 22 complex traits. Cross-species analysis further revealed evolutionarily conserved features of regulatory architecture and provided evolutionary insights into complex traits and diseases in humans. Together, this atlas offers a foundational resource for advancing cattle functional genomics, sustainable breeding, and studies of regulatory evolution.

The domestic pig is a key agricultural species and biomedical model, yet its reference genome has remained incomplete. Using PacBio HiFi, Oxford Nanopore reads, and Hi-C sequencing, we assembled the first telomere-to-telomere (T2T), gap-free pig genome (T2T-Sscrofa). Importantly, this assembly derives from the same individual pig that provided the original reference genome, thereby completing the long-standing foundation of pig genomics. This assembly resolves 274.8 Mb of previously unassembled sequence, including centromeres, segmental duplications, and ribosomal DNA arrays, and identifies 255 new protein-coding genes. Comparative analyses reveal a Robertsonian translocation in the western European wild boar and extensive structural variation across global pig populations. T2T-Sscrofa provides a comprehensive genomic foundation for agricultural, evolutionary, and biomedical research.

Systematic characterization of the molecular states of cells in livestock tissues is essential for understanding the cellular and genetic mechanisms underlying economically and ecologically important physiological traits. Here, as part of the Farm Animal Genotype-Tissue Expression (FarmGTEx) project, we describe a comprehensive reference map including 1,793,854 cells from 59 bovine tissues in calves and adult cattle, spanning both sexes, which reveals intra-tissue and inter-tissue cellular heterogeneity in gene expression, transcription factor regulation and intercellular communication. Integrative analysis with genetic variants that underpin bovine monogenic and complex traits uncovers cell types of relevance, such as spermatocytes, responsible for sperm motility and excitatory neurons for milk fat yield. Comparative analysis reveals similarities in gene expression between cattle and humans, allowing for the detection of relevant cell types to study human complex phenotypes. This Cattle Cell Atlas will serve as a key resource for cattle genetics and genomics, selective breeding and comparative biology.

Deciphering the regulatory syntax of the genome is essential to understand the genetic and molecular architecture of complex traits, as most trait-associated variants lie in non-coding regions. Yet, functional annotation of the bovine genome remains limited, hindering our ability to unravel the mechanisms underpinning complex traits of economic and ecological importance in cattle. Here, we present a comprehensive epigenetic atlas comprising 1,138 genome-wide epigenetic profiles, including chromatin accessibility, six histone modifications, CCCTC-binding factor (CTCF) transcription factor binding, DNA methylation, chromatin conformation, and transcriptomes across 53 adult tissues, five fetal tissues, and seven primary cell types. This atlas-level data enables us to annotate around 45% of the genome as putative regulatory elements exhibiting tissue- or cell-specific regulatory activity. Leveraging sequence-to-function deep learning models, we discovered 301 sequence motifs and predicted the functional impact of genetic variants through in silico mutagenesis, thereby facilitating the decoding of the regulatory syntax of the cattle genome and fine-mapping of GWAS loci for 22 complex traits. Cross-species analysis further revealed evolutionarily conserved features of regulatory architecture and provided evolutionary insights into complex traits and diseases in humans. Together, this atlas offers a foundational resource for advancing cattle functional genomics, sustainable breeding, and studies of regulatory evolution.

Background Hemoglobin metabolism disorder can result in systemic iron overload, leading to pigmentation in multiple organs. Although these disorders are often of genetic origin, the specific genes and mechanisms remain incompletely understood. Lanping black bone sheep (LP-BBS), a unique population from the high altitudes along the Hengduan Mountains in Yunnan province, exhibits hyperpigmentation in multiple tissues. Investigating the genetic and environmental factors underlying this phenotype provides a natural model to better understand hemoglobin metabolism disorder. Results LP-BBS were found to exhibit increased red blood cell counts, elevated hemoglobin levels, and systemic iron overload, evidenced by hyperpigmentation in various tissues. Histological and molecular analyses revealed that hyperpigmentation is driven by ferriheme overload, an inheritable quantitative trait influenced by both genetic variation and environmental factors. Genome-wide association studies identified FRRS1L as a candidate gene, with significant mutations in its 3′-untranslated region (3′-UTR) reducing FRRS1L expression. Functional assays demonstrated that insufficient FRRS1L expression promotes ferriheme accumulation in reticuloendothelial cells and macrophages, as confirmed in vitro using FRRS1L knockdown models. Ferriheme overload was associated with oxidative stress and systemic inflammation, causing pathological damage to critical organs such as the kidney, liver, and uterus.