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牦牛数量性状的解码:改良育种策略的基因组学见解

Decoding Quantitative Traits in Yaks: Genomic Insights for Improved Breeding Strategies.

作者信息

Fu Yujiao, Yu Yuanyuan, Yan Xinjia, Lan Daoliang, Wang Jiabo

机构信息

Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education and Sichuan Province, Southwest Minzu University, Chengdu 610041, China.

出版信息

Curr Issues Mol Biol. 2025 May 12;47(5):350. doi: 10.3390/cimb47050350.

DOI:10.3390/cimb47050350
PMID:40699749
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12110190/
Abstract

The yak (), the only large domesticated species endemic to the Qinghai-Tibet Plateau, is a vital resource for local livelihoods and regional economic sustainability. However, yak breeding faces significant challenges, including limited understanding of the genetic architecture underlying quantitative traits, inadequate advanced breeding strategies, and the sterility of hybrid offspring from yak-cattle crosses. These constraints have hindered genetic progress in key production traits. To address these issues, integrating modern genomic tools into yak breeding programs is imperative. This review explores the application and potential of molecular marker-assisted selection (MAS) and genomic prediction (GP) in yak genetic improvement. We systematically evaluate critical components of genomic breeding pipelines, including: (1) phenotypic trait assessment, (2) sample collection strategies, (3) reference population design, (4) high-throughput genotyping (via genome sequencing and SNP arrays), (5) predictive model development, and (6) heritability estimation. By synthesizing current advances and methodologies, this work aims to provide a framework for leveraging genomic technologies to enhance breeding efficiency, preserve genetic diversity, and accelerate genetic gains in yak populations.

摘要

牦牛是青藏高原特有的唯一大型家养物种,是当地民生和区域经济可持续发展的重要资源。然而,牦牛养殖面临重大挑战,包括对数量性状遗传结构的了解有限、先进育种策略不足以及牦牛与牛杂交后代的不育问题。这些限制阻碍了关键生产性状的遗传进展。为解决这些问题,将现代基因组工具整合到牦牛育种计划中势在必行。本综述探讨了分子标记辅助选择(MAS)和基因组预测(GP)在牦牛遗传改良中的应用和潜力。我们系统评估了基因组育种流程的关键组成部分,包括:(1)表型性状评估,(2)样本采集策略,(3)参考群体设计,(4)高通量基因分型(通过基因组测序和SNP阵列),(5)预测模型开发,以及(6)遗传力估计。通过综合当前的进展和方法,本研究旨在提供一个框架,利用基因组技术提高育种效率、保护遗传多样性并加速牦牛群体的遗传进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4835/12110190/b173fabba2f9/cimb-47-00350-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4835/12110190/63f24dc4cee5/cimb-47-00350-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4835/12110190/b173fabba2f9/cimb-47-00350-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4835/12110190/63f24dc4cee5/cimb-47-00350-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4835/12110190/b173fabba2f9/cimb-47-00350-g002.jpg

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本文引用的文献

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Identification of RNA Editing Sites Reveals Functional Modifications with the Addition of Methionine to the Daily Rations of Yaks.RNA编辑位点的鉴定揭示了在牦牛日粮中添加蛋氨酸后的功能修饰。
Animals (Basel). 2025 Jan 10;15(2):171. doi: 10.3390/ani15020171.
2
Polymorphisms of and Genes and Their Correlation Analysis with Growth Traits in Ashidan Yaks.阿什旦牦牛**和**基因的多态性及其与生长性状的相关性分析。 注:原文中“Polymorphisms of and Genes”这里两个“and”之间应该是有具体基因名称缺失了。
Animals (Basel). 2024 Dec 4;14(23):3506. doi: 10.3390/ani14233506.
3
Comparison of predictive ability of single-trait and multitrait genomic selection models for body growth traits in Maiwa yaks.
麦洼牦牛体尺生长性状单性状和多性状基因组选择模型预测能力的比较。
Animal. 2024 Nov;18(11):101350. doi: 10.1016/j.animal.2024.101350. Epub 2024 Oct 4.
4
Yaks Are Dependent on Gut Microbiota for Survival in the Environment of the Qinghai Tibet Plateau.牦牛在青藏高原环境中生存依赖肠道微生物群。
Microorganisms. 2024 May 31;12(6):1122. doi: 10.3390/microorganisms12061122.
5
Polymorphisms of Gene and Their Correlation with Milk Quality Traits in Yak ().牦牛()基因多态性及其与乳品质性状的相关性
Foods. 2024 May 22;13(11):1613. doi: 10.3390/foods13111613.
6
Hypoxia related genes modulate in similar fashion in skin fibroblast cells of yak (Bos grunniens) adapted to high altitude and native cows (Bos indicus) adapted to tropical climate during hypoxia stress.在低氧应激下,适应高海拔的牦牛(Bos grunniens)和适应热带气候的本地牛(Bos indicus)的皮肤成纤维细胞中,缺氧相关基因以相似的方式调节。
Int J Biometeorol. 2024 Aug;68(8):1675-1687. doi: 10.1007/s00484-024-02695-5. Epub 2024 May 30.
7
GbyE: an integrated tool for genome widely association study and genome selection based on genetic by environmental interaction.GbyE:一种基于遗传与环境互作的全基因组关联研究和基因组选择的综合工具。
BMC Genomics. 2024 Apr 19;25(1):386. doi: 10.1186/s12864-024-10310-5.
8
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Int J Mol Sci. 2024 Feb 6;25(4):1948. doi: 10.3390/ijms25041948.
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Int J Mol Sci. 2024 Jan 24;25(3):1442. doi: 10.3390/ijms25031442.