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Microevolutionary Dynamics of Chicken Genomes under Divergent Selection for Adiposity

Authors :
Shouzhi Wang
Zhipeng Wang
Ruiqiang Li
Shilin Tian
Xun Zhou
Hui Li
Qigui Wang
Hui Yuan
Yuxiang Wang
Hui Zhang
Qiqi Liang
Susan J. Lamont
Zhiping Cao
Yumao Li
Jiyang Zhang
Jie Mao
Li Leng
Yang Da
Xuming Zhou
Hao Liang
Ning Wang
Zhiquan Wang
Peng Luan
Zhi-Qiang Du
Source :
iScience, Vol 23, Iss 6, Pp 101193-(2020), iScience
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Summary Decades of artificial selection have significantly improved performance and efficiency of animal production systems. However, little is known about the microevolution of genomes due to intensive breeding. Using whole-genome sequencing, we document dynamic changes of chicken genomes under divergent selection on adiposity over 19 generations. Directional selection reduced within-line but increased between-line genomic differences. We observed that artificial selection tended to result in recruitment of preexisting variations of genes related to adipose tissue growth. In addition, novel mutations contributed to divergence of phenotypes under selection but contributed significantly less than preexisting genomic variants. Integration of 15 generations genome sequencing, genome-wide association study, and multi-omics data further identified that genes involved in signaling pathways important to adipogenesis, such as autophagy and lysosome (URI1, MBL2), neural system (CHAT), and endocrine (PCSK1) pathways, were under strong selection. Our study provides insights into the microevolutionary dynamics of domestic animal genomes under artificial selection.<br />Graphical Abstract<br />Highlights • Directional selection reduces within-line but increases between-line genomic difference • Artificial selection tends to recruit preexisting variations of genes for fatness • Novel mutations contribute to the divergence of fatness under artificial selection • Genes involved in signaling pathways important to adipogenesis are under selection<br />Biological Sciences; Evolutionary Biology; Genetics; Genomics

Details

Language :
English
ISSN :
25890042
Volume :
23
Issue :
6
Database :
OpenAIRE
Journal :
iScience
Accession number :
edsair.doi.dedup.....e7c17167c301130d40577fa42126b7f5