Large-scale genome-wide association analysis reveals candidate genes in yak body size traits.

IF 3.7 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Jiahong Zhao, Zemin Li, Xinrui Liu, Yaxin Liu, Binglin Yue, Hui Wang, Ming Zhang, Wei Peng, Shi Shu, Guowen Wang, Jincheng Zhong, Yixi Kangzhu, Xinjia Yan, Daoliang Lan, Jiabo Wang
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引用次数: 0

Abstract

Background: The yak is a unique livestock species bred on the Qinghai-Tibet Plateau. We utilized genotypic data obtained from the yak sequencing chip "Qingxin-1" and phenotypic data measured from image photographs using conversion between pixel and distance. The primary objective of this study was to conduct genome-wide association studies (GWAS) using five models to analyze seven body size traits. Specifically, the goals were to (1) characterize the genetic structure of three major yak breeds: Maiwa, Yushu, and Huanhu; (2) identify candidate genes that significantly influence yak body size traits; and (3) compare the prediction accuracy of single-trait and multi-trait genomic selection(GS).

Results: A total of 94 markers were significantly (P<1e-05) associated with yak body size traits. GWAS results revealed that PRKAA2 and SNX9 were important candidate genes affecting the body size traits of yaks. The GS results indicated that combining marker-assisted selection and best linear unbiased prediction significantly improved the accuracy of predicting body size traits, the average accuracy in multi-trait GS was higher than that in single-trait GS.

Conclusions: Our findings provide valuable insights into the genetic architecture underlying yaks, with implications for the development and selection of yak body size traits. The identification of key genes such as PRKAA2 and SNX9 offers promising targets for breeding programs aimed at optimizing body size traits, thereby supporting genetic improvements in yak populations.

大规模全基因组关联分析揭示了牦牛体型性状的候选基因。
利用牦牛“清新1号”测序芯片获得的基因型数据和通过像素与距离转换获得的图像照片的表型数据。本研究的主要目的是利用5种模型对7种体型性状进行全基因组关联研究(GWAS)。具体而言,目标是:(1)表征麦洼、玉树和环湖三个主要牦牛品种的遗传结构;(2)鉴定影响牦牛体型性状的候选基因;(3)比较单性状和多性状基因组选择(GS)的预测精度。结果:共有94个标记具有显著性(p)。结论:本研究结果对牦牛体型性状的发育和选择提供了有价值的见解。PRKAA2和SNX9等关键基因的鉴定为优化牦牛体型性状的育种计划提供了有希望的目标,从而支持牦牛种群的遗传改良。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Genomics
BMC Genomics 生物-生物工程与应用微生物
CiteScore
7.40
自引率
4.50%
发文量
769
审稿时长
6.4 months
期刊介绍: BMC Genomics is an open access, peer-reviewed journal that considers articles on all aspects of genome-scale analysis, functional genomics, and proteomics. BMC Genomics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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