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通过多维全基因组关联研究(GWAS)和分子数量性状位点(molQTL)分析探索鸡体重的年龄依赖性遗传结构。

Age-dependent genetic architectures of chicken body weight explored by multidimensional GWAS and molQTL analyses.

作者信息

Zhong Conghao, Li Xiaochang, Guan Dailu, Zhang Boxuan, Wang Xiqiong, Qu Liang, Zhou Huaijun, Fang Lingzhao, Sun Congjiao, Yang Ning

机构信息

State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing 100193, China.

Department of Animal Science, University of California, Davis, CA 95616, USA.

出版信息

J Genet Genomics. 2024 Dec;51(12):1423-1434. doi: 10.1016/j.jgg.2024.09.003. Epub 2024 Sep 19.

DOI:10.1016/j.jgg.2024.09.003
PMID:39306327
Abstract

Chicken body weight (BW) is a critical trait in breeding. Although genetic variants associated with BW have been investigated by genome-wide association studies (GWAS), the contributions of causal variants and their molecular mechanisms remain largely unclear in chickens. In this study, we construct a comprehensive genetic atlas of chicken BW by integrative analysis of 30 age points and 5 quantitative trait loci (QTL) across 27 tissues. We find that chicken growth is a cumulative non-linear process, which can be divided into three distinct stages. Our GWAS analysis reveals that BW-related genetic variations show ordered patterns in these three stages. Genetic variations in chromosome 1 may regulate the overall growth process, likely by modulating the hypothalamus-specific expression of SLC25A30 and retina-specific expression of NEK3. Moreover, genetic variations in chromosome 4 and chromosome 27 may play dominant roles in regulating BW during Stage 2 (8-22 weeks) and Stage 3 (23-72 weeks), respectively. In summary, our study presents a comprehensive genetic atlas regulating developmental stage-specific changes in chicken BW, thus providing important resources for genomic selection in breeding programs.

摘要

鸡的体重是育种中的一个关键性状。尽管全基因组关联研究(GWAS)已经对与体重相关的遗传变异进行了调查,但因果变异的贡献及其分子机制在鸡中仍基本不清楚。在本研究中,我们通过对27个组织中的30个年龄点和5个数量性状位点(QTL)进行综合分析,构建了鸡体重的综合遗传图谱。我们发现鸡的生长是一个累积的非线性过程,可分为三个不同阶段。我们的GWAS分析表明,与体重相关的遗传变异在这三个阶段呈现出有序模式。1号染色体上的遗传变异可能通过调节SLC25A30在下丘脑的特异性表达和NEK3在视网膜的特异性表达来调节整体生长过程。此外,4号染色体和27号染色体上的遗传变异可能分别在第2阶段(8 - 22周)和第3阶段(23 - 72周)调节体重方面发挥主导作用。总之,我们的研究展示了一个调节鸡体重发育阶段特异性变化的综合遗传图谱,从而为育种计划中的基因组选择提供了重要资源。

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