ArticleJournal of animal science and biotechnology2024
Pangenome and multi-tissue gene atlas provide new insights into the domestication and highland adaptation of yaks.
Article in Journal of animal science and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Post-Transcriptional Regulatory Network of Non-Coding RNAs in Yaks: Molecular Mechanisms of Hypoxia Adaptation and Productive Traits.Animals : an open access journal from MDPI · 2026Review
- XtractPAV: an automated pipeline for identifying presence-absence variations across multiple genomes.BMC genomics · 2026Article
- Pan-Transcriptome Analyses of Multiple Tissues and Growth Stages Create Expression Atlases for the SilkwormAnimals : an open access journal from MDPI · 2026Article
- A Multi-Tissue Yak (Animals : an open access journal from MDPI · 2026Article
- Dynamics of genome evolution in the era of pangenome analysis.Cell genomics · 2026Review
- Long read and preliminary pangenome analyses reveal breed-specific structural variations and novel sequences in Holstein and Jersey cattle.Journal of advanced research · 2026Article
- Article
- Exploring cattle structural variation in the era of long reads, pangenome graphs, and near-complete assemblies.Journal of animal science and biotechnology · 2025Review
- Construction of the graph genomes of Takifugu provides novel insights into the genomic mechanisms of population structure and migratory traits.BMC biology · 2025Article
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Authors and funding
13 authors.
Funding
Abstract
backgroundThe genetic diversity of yak, a key domestic animal on the Qinghai-Tibetan Plateau (QTP), is a vital resource for domestication and breeding efforts. This study presents the first yak pangenome obtained through the de novo assembly of 16 yak genomes.
resultsWe discovered 290 Mb of nonreference sequences and 504 new genes. Our pangenome-wide presence and absence variation (PAV) analysis revealed 5,120 PAV-related genes, highlighting a wide range of variety-specific genes and genes with varying frequencies across yak populations. Principal component analysis (PCA) based on binary gene PAV data classified yaks into three new groups: wild, domestic, and Jinchuan. Moreover, we proposed a 'two-haplotype genomic hybridization model' for understanding the hybridization patterns among breeds by integrating gene frequency, heterozygosity, and gene PAV data. A gene PAV-GWAS identified a novel gene (BosGru3G009179) that may be associated with the multirib trait in Jinchuan yaks. Furthermore, an integrated transcriptome and pangenome analysis highlighted the significant differences in the expression of core genes and the mutational burden of differentially expressed genes between yaks from high and low altitudes. Transcriptome analysis across multiple species revealed that yaks have the most unique differentially expressed mRNAs and lncRNAs (between high- and low-altitude regions), especially in the heart and lungs, when comparing high- and low-altitude adaptations.
conclusionsThe yak pangenome offers a comprehensive resource and new insights for functional genomic studies, supporting future biological research and breeding strategies.
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