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Genome-Wide Association Study of Body Weight Traits in Texel and Kazakh Crossbred Sheep

文献类型： 外文期刊

作者： Wang, Sheng 1 ; Liu, Mingjun 2 ; Zhang, Huiguo 1 ; He, Sangang 3 ; Li, Wenrong 2 ; Liang, Long 2 ;

作者机构： 1.Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830000, Peoples R China

2.Xinjiang Acad Anim Sci, Key Lab Anim Biotechnol Xinjiang, Key Lab Genet Breeding & Reprod Grass Feeding Live, Inst Biotechnol,Minisitry Agr & Rural Affairs Peop, Urumqi 830000, Peoples R China

3.Zhejiang Acad Agr Sci, Inst Anim Husb & Vet, Hangzhou 310021, Peoples R China

关键词： GWAS; post-GWAS; genetic parameters; body weight; Texel-Kazakh crossbred sheep

期刊名称：GENES （ 影响因子：2.8； 五年影响因子：3.2 ）

ISSN：

年卷期： 2024 年 15 卷 12 期

页码：

收录情况： SCI

摘要： Background: Originating from the cold and arid regions of northwestern China, Kazakh sheep are dual-purpose breeds optimized for both meat and fat production. In contrast, Texel sheep are internationally recognized for their high-quality meat and exceptional flavor. Previous studies have indicated that the hybrids of Texel and Kazakh sheep exhibit significant quality advantages. Additionally, body weight is a crucial indicator of sheep production performance, directly correlating with meat yield and economic returns. Objective: This study aims to identify genetic variations and related genes associated with the body weight traits of hybrid lambs, thereby revealing their genetic mechanisms. Methods: This study genotyped hybrid lambs using a 50K chip and performed rigorous quality control on both genotypic and phenotypic data. The traits examined include body weight traits of lambs at various stages such as birth, pre-weaning, and post-weaning. Various genome-wide association study (GWAS) models were utilized to analyze the association between lamb body weight traits and genetic markers. The study then employed an Ensemble-like GWAS (E-GWAS) strategy to integrate these models, achieving a stable list of SNPs, rather than a mere aggregation. Multiple annotation databases were consulted to further investigate the mechanisms by which genetic markers affect body weight traits. All study results were validated through an extensive literature review. Results: Analyses with multiple statistical models revealed that 48 SNPs were significantly associated with body weight traits. The annotation process identified 24 related genes (including 4 unknown genes) and 9 quantitative trait loci (QTLs). Additionally, 6 Gene Ontology (GO) terms and 22 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were determined. Conclusions: This study identified key genes and pathways in the body weight traits of hybrids between Texel and Kazakh sheep, enhancing our understanding of their genetic mechanisms.

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