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利用SNP50K芯片研究吉尔吉斯绵羊的遗传结构和选择性清除

Genetic structure and selective sweeps in Kirghiz sheep using SNP50K bead chip.

作者信息

Li Xiaopeng, Zhu Lijun, Zhang Cheng-Long, Wang Xueyan, Li Yanhao, Zhou Wen, Han Zhipeng, Yang Ruizhi, Peng Yuwei, Han Yahui, Zhang Lulu, Zheng Langman, Liu Shudong

机构信息

College of Animal Science and Technology, Tarim University, Xinjiang, China.

Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China.

出版信息

Front Genet. 2024 Aug 21;15:1432105. doi: 10.3389/fgene.2024.1432105. eCollection 2024.

DOI:10.3389/fgene.2024.1432105
PMID:39233740
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11371558/
Abstract

The objective of this study is to analyze environmental genetic selection signals in large-scale sheep populations with conflicting environmental adaptations, aiming to identify and isolate genes associated with environmental adaptations in sheep populations. Kirghiz sheep, which inhabit high-altitude environments year-round, demonstrate the ability to adapt to extreme conditions. In this study, 42 Kirghiz sheep, 24 Tien-Shan in Kyrgyzstan sheep, 189 Qira black sheep, and 160 Chinese Merino sheep were genotyped using Illumina Ovine SNP50K chip. Regions exhibiting a selection signal threshold of 5%, as well as PI analysis and haplotype statistical scanning gene data were annotated, and intersecting genes were identified as candidate genes. Through Fst and haplotype statistical analysis revealed the key gene and its vicinity's impact on fat deposition in sheep tails. Additionally, Fst and PI analysis uncovered genes related to high-altitude adaptation as well as those linked to animal growth and reproduction.Further GO and KEGG enrichment pathway analyses unveiled pathways associated with high-altitude adaptation such as negative regulation of peptidyl-tyrosine phosphorylation and xenobiotic metabolism processes.This investigation into the adaptability of Kirghiz sheep provides theoretical support and practical guidance for the conservation and genetic enhancement of Kirghiz sheep germplasm resources.

摘要

本研究的目的是分析具有相互冲突环境适应性的大规模绵羊群体中的环境遗传选择信号,旨在识别和分离与绵羊群体环境适应性相关的基因。吉尔吉斯羊全年栖息在高海拔环境中,表现出适应极端条件的能力。在本研究中,使用Illumina Ovine SNP50K芯片对42只吉尔吉斯羊、24只吉尔吉斯斯坦天山羊、189只策勒黑羊和160只中国美利奴羊进行了基因分型。对显示选择信号阈值为5%的区域以及PI分析和单倍型统计扫描基因数据进行了注释,并将相交基因鉴定为候选基因。通过Fst和单倍型统计分析揭示了关键基因及其附近区域对绵羊尾部脂肪沉积的影响。此外,Fst和PI分析还发现了与高海拔适应相关的基因以及与动物生长和繁殖相关的基因。进一步的GO和KEGG富集途径分析揭示了与高海拔适应相关的途径,如肽基酪氨酸磷酸化的负调控和外源物质代谢过程。这项对吉尔吉斯羊适应性的研究为吉尔吉斯羊种质资源的保护和遗传改良提供了理论支持和实践指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5063/11371558/eb16918c8ca9/fgene-15-1432105-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5063/11371558/f970f748c536/fgene-15-1432105-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5063/11371558/5db1afaef83f/fgene-15-1432105-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5063/11371558/8e35054b0e25/fgene-15-1432105-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5063/11371558/eb16918c8ca9/fgene-15-1432105-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5063/11371558/f970f748c536/fgene-15-1432105-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5063/11371558/5db1afaef83f/fgene-15-1432105-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5063/11371558/8e35054b0e25/fgene-15-1432105-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5063/11371558/eb16918c8ca9/fgene-15-1432105-g004.jpg

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本文引用的文献

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Animals (Basel). 2023 Oct 19;13(20):3265. doi: 10.3390/ani13203265.
2
FMO1 Promotes Nonalcoholic Fatty Liver Disease Progression by Regulating PPARα Activation and Inducing Ferroptosis.FMO1 通过调节 PPARα 激活和诱导铁死亡促进非酒精性脂肪性肝病进展。
Discov Med. 2023 Aug;35(177):612-622. doi: 10.24976/Discov.Med.202335177.60.
3
Drivers of plateau adaptability in cashmere goats revealed by genomic and transcriptomic analyses.
基因组和转录组分析揭示了绒山羊高原适应性的驱动因素。
BMC Genomics. 2023 Aug 1;24(1):428. doi: 10.1186/s12864-023-09333-1.
4
Genome-wide DNA methylation analysis reveals different methylation patterns in Chinese indigenous sheep with different type of tail.全基因组DNA甲基化分析揭示了不同尾型中国本土绵羊的不同甲基化模式。
Front Vet Sci. 2023 May 5;10:1125262. doi: 10.3389/fvets.2023.1125262. eCollection 2023.
5
geneHapR: an R package for gene haplotypic statistics and visualization.geneHapR:一个用于基因单体型统计和可视化的 R 包。
BMC Bioinformatics. 2023 May 15;24(1):199. doi: 10.1186/s12859-023-05318-9.
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Nat Metab. 2022 Dec;4(12):1697-1712. doi: 10.1038/s42255-022-00703-9. Epub 2022 Dec 19.
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