ArticleGenetics, selection, evolution : GSE2021
Integration of a single-step genome-wide association study with a multi-tissue transcriptome analysis provides novel insights into the genetic basis of wool and weight traits in sheep.
Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 69 citations in OpenAlex.
- Integrated Analysis of SNPs and Structural Variations via High-depth Whole-genome Sequencing Reveals the Genetic Architecture and Optimizes Genomic Prediction in Chickens.Poultry science · 2026Article
- Progress on genome-wide association studies and selection signature analysis for agronomic traits in Chinese sheep and goats: review.Animal bioscience · 2026Article
- Identification ofFrontiers in veterinary science · 2026Article
- Exploring the polygenic landscape of wool traits in Turkish merinos through multi-locus GWAS approaches: Karacabey Merino.BMC veterinary research · 2025Article
- Comparative Single-Cell Transcriptomic Landscape Reveals the Regulatory Mechanisms of Lactation during Selective Breeding in Asian Water Buffalo.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Genomic architecture of purebred and crossbred Moghani lambs with Texel and Booroola sheep.Scientific reports · 2025Article
- Article
- Identification of regulatory loci and candidate genes related to body weight traits in broilers based on different models.BMC genomics · 2025Article
- A Developmental Gene Expression Atlas Reveals Novel Biological Basis of Complex Phenotypes in Sheep.Genomics, proteomics & bioinformatics · 2025Article
- Genetic and Epigenetic Adaptation Mechanisms of Sheep Under Multi-Environmental Stress Environment.International journal of molecular sciences · 2025Review
- Exploring the polygenic landscape of wool traits in Turkish Merinos through multi-locus GWAS approaches: middle Anatolian Merino.Scientific reports · 2025Article
- Leveraging Whole-Genome Resequencing to Uncover Genetic Diversity and Promote Conservation Strategies for Ruminants in Asia.Animals : an open access journal from MDPI · 2025Review
- Potential candidate genes influencing meat production phenotypic traits in sheep: a review.Frontiers in veterinary science · 2025Review
- Combined Genome-Wide Association Study and Haplotype Analysis Identifies Candidate Genes Affecting Growth Traits of Inner Mongolian Cashmere Goats.Veterinary sciences · 2024Article
- Population structure and selection signal analysis of indigenous sheep from the southern edge of the Taklamakan Desert.BMC genomics · 2024Article
- Weighted single-step genome-wide association study for direct and maternal genetic effects associated with birth and weaning weights in sheep.Scientific reports · 2024Article
- A High-Quality Blue Whale Genome, Segmental Duplications, and Historical Demography.Molecular biology and evolution · 2024Article
- Characterization of heterozygosity-rich regions in Italian and worldwide goat breeds.Scientific reports · 2024Article
- Whole-Genome Resequencing Reveals Selection Signal Related to Sheep Wool Fineness.Animals : an open access journal from MDPI · 2023Article
- Heritability and recursive influence of host genetics on the rumen microbiota drive body weight variance in male Hu sheep lambs.Microbiome · 2023Article
Corrections and comments
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Authors and funding
12 authors at 7 institutions in 3 countries.
Funding
Abstract
backgroundGenetic improvement of wool and growth traits is a major goal in the sheep industry, but their underlying genetic architecture remains elusive. To improve our understanding of these mechanisms, we conducted a weighted single-step genome-wide association study (WssGWAS) and then integrated the results with large-scale transcriptome data for five wool traits and one growth trait in Merino sheep: mean fibre diameter (MFD), coefficient of variation of the fibre diameter (CVFD), crimp number (CN), mean staple length (MSL), greasy fleece weight (GFW), and live weight (LW).
resultsOur dataset comprised 7135 individuals with phenotype data, among which 1217 had high-density (HD) genotype data (n = 372,534). The genotypes of 707 of these animals were imputed from the Illumina Ovine single nucleotide polymorphism (SNP) 54 BeadChip to the HD Array. The heritability of these traits ranged from 0.05 (CVFD) to 0.36 (MFD), and between-trait genetic correlations ranged from - 0.44 (CN vs. LW) to 0.77 (GFW vs. LW). By integrating the GWAS signals with RNA-seq data from 500 samples (representing 87 tissue types from 16 animals), we detected tissues that were relevant to each of the six traits, e.g. liver, muscle and the gastrointestinal (GI) tract were the most relevant tissues for LW, and leukocytes and macrophages were the most relevant cells for CN. For the six traits, 54 quantitative trait loci (QTL) were identified covering 81 candidate genes on 21 ovine autosomes. Multiple candidate genes showed strong tissue-specific expression, e.g. BNC1 (associated with MFD) and CHRNB1 (LW) were specifically expressed in skin and muscle, respectively. By conducting phenome-wide association studies (PheWAS) in humans, we found that orthologues of several of these candidate genes were significantly (FDR < 0.05) associated with similar traits in humans, e.g. BNC1 was significantly associated with MFD in sheep and with hair colour in humans, and CHRNB1 was significantly associated with LW in sheep and with body mass index in humans.
conclusionsOur findings provide novel insights into the biological and genetic mechanisms underlying wool and growth traits, and thus will contribute to the genetic improvement and gene mapping of complex traits in sheep.
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