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GRM1 as a Candidate Gene for Buffalo Fertility: Insights from Genome-Wide Association Studies and Its Role in the FOXO Signaling Pathway

文献类型: 外文期刊

作者: Li, Wangchang 2 ; Zheng, Haiying 1 ; Cao, Duming 2 ; Duan, Anqin 1 ; Huang, Liqing 1 ; Feng, Chao 1 ; Yang, Chunyan 1 ;

作者机构: 1.Chinese Acad Agr Sci, Guangxi Buffalo Res Inst, Guangxi Key Lab Buffalo Genet Reprod & Breeding, Nanning 530001, Peoples R China

2.Guangxi Univ, Coll Anim Sci & Technol, Guangxi Key Lab Anim Breeding, Dis Control & Prevent, Nanning 530004, Peoples R China

3.Minist Agr & Rural Affairs, Key Lab Buffalo Genet Breeding & Reprod Technol, Nanning 530001, Peoples R China

关键词: buffalo; production traits; genome-wide association study

期刊名称:GENES ( 影响因子:2.8; 五年影响因子:3.2 )

ISSN:

年卷期: 2025 年 16 卷 2 期

页码:

收录情况: SCI

摘要: Background: Water buffaloes represent a crucial genetic resource for the global dairy industry, yet enhancements in their production performance remain relatively constrained. The advent of advanced sequencing technologies, coupled with genome-wide association studies (GWASs), has significantly boosted the potential for breeding superior-quality water buffalo. Methods: An integrated genomic analysis was performed on sequencing data from 100 water buffaloes, utilizing the high-quality UOA_WB_1 genome assembly as a reference. This study particularly emphasized reproduction-related traits, with a focus on age at first calving (AFC). Results: Our analysis revealed two significant single-nucleotide polymorphisms (SNPs). Based on these genetic markers, the GRM1 gene was identified as a candidate gene. This gene shows substantial involvement in various reproduction-associated pathways, including the FOXO signaling pathway, calcium signaling pathway, and estrogen signaling pathway. Conclusions: The identification of GRM1 as a candidate gene provides a robust theoretical basis for molecular breeding strategies aimed at enhancing fertility in water buffaloes. These findings offer critical scientific support for optimizing breeding programs, thereby improving overall production efficiency.

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