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Population genomic analysis reveals genetic divergence and adaptation in Brachymystax lenok.
Li, Ping; Niu, Le; Chang, Jianbo; Kou, Xiaomei; Wang, Wentian; Hu, Wenjing; Liu, Qigen.
Afiliación
  • Li P; Powerchina Northwest Engineering Corporation Limited, Xi'an, China.
  • Niu L; State Key Laboratory of Water Resources and Hydropower Engineering Science, Institute of HydroEcology, Wuhan University, Wuhan, China.
  • Chang J; Centre for Research on Environmental Ecology and Fish Nutrition, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, China.
  • Kou X; Powerchina Northwest Engineering Corporation Limited, Xi'an, China.
  • Wang W; State Key Laboratory of Water Resources and Hydropower Engineering Science, Institute of HydroEcology, Wuhan University, Wuhan, China.
  • Hu W; Hubei Key Laboratory of Water System Science for Sponge City Construction, Wuhan, China.
  • Liu Q; Powerchina Northwest Engineering Corporation Limited, Xi'an, China.
Front Genet ; 15: 1293477, 2024.
Article en En | MEDLINE | ID: mdl-38482383
ABSTRACT
Studying how populations in various environments differ genetically is crucial for gaining insights into the evolution of biodiversity. In order to pinpoint potential indicators of divergence and adaptation to diverse environments, we conducted a comprehensive analysis of 3,491,868 single nucleotide polymorphisms (SNPs) derived from five populations of Brachymystax lenok. We discovered significant geographic divergence among these 5 populations, which lack evidence of gene flow among them. Our results further demonstrated that the current distribution pattern of Brachymystax lenok are driven by geographical isolation and changes in oceans and rivers. We also performed genome-wide scan and identified the genes evolved to adapt the different environments, including stress response. In general, these results provide genomic support for high-level genetic divergence and the genetic basis of adaptation to different environments.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2024 Tipo del documento: Article País de afiliación: China