Microevolutionary Dynamics of Chicken Genomes under Divergent Selection for Adiposity
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 s...
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Veröffentlicht in: | iScience 2020-06, Vol.23 (6), p.101193, Article 101193 |
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Sprache: | eng |
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Zusammenfassung: | 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.
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•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
Biological Sciences; Evolutionary Biology; Genetics; Genomics |
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ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2020.101193 |