中国农业大学杨宁等研究人员合作通过多维度GWAS和molQTL分析探索鸡体重的年龄依赖性遗传结构。相关论文于2024年9月19日在线发表于国际学术期刊《遗传学报》。

据介绍，鸡BW是育种中的关键性状。尽管通过GWAS已经调查了与体重相关的遗传变异，但在鸡中，因果变异的贡献及其分子机制仍然不明确。

附：英文原文

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

Author: Congjiao Sun a, Ning Yang a

Issue&Volume: 2024/09/19

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 an 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 Ⅱ (8-22 weeks) and stage Ⅲ (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.

DOI: 10.1016/j.jgg.2024.09.003

Source: https://www.sciencedirect.com/science/article/pii/S1673852724002406