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Large-scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals.
Liu, Weiqiang; Zhu, Pingfen; Li, Meng; Li, Zihao; Yu, Yang; Liu, Gaoming; Du, Juan; Wang, Xiao; Yang, Jing; Tian, Ran; Seim, Inge; Kaya, Alaattin; Li, Mingzhou; Li, Ming; Gladyshev, Vadim N; Zhou, Xuming.
Afiliación
  • Liu W; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
  • Zhu P; University of Chinese Academy of Sciences, Beijing, China.
  • Li M; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
  • Li Z; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
  • Yu Y; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
  • Liu G; University of Chinese Academy of Sciences, Beijing, China.
  • Du J; School of Life Sciences, University of Science and Technology of China, Anhui, China.
  • Wang X; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
  • Yang J; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
  • Tian R; University of Chinese Academy of Sciences, Beijing, China.
  • Seim I; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
  • Kaya A; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
  • Li M; University of Chinese Academy of Sciences, Beijing, China.
  • Li M; Integrative Biology Laboratory, College of Life Sciences, Nanjing Normal University, Nanjing, China.
  • Gladyshev VN; Integrative Biology Laboratory, College of Life Sciences, Nanjing Normal University, Nanjing, China.
  • Zhou X; School of Biology and Environmental Science, Queensland University of Technology, Brisbane, QLD, Australia.
EMBO J ; 42(17): e112740, 2023 09 04.
Article en En | MEDLINE | ID: mdl-37427458
ABSTRACT
Lifespan varies significantly among mammals, with more than 100-fold difference between the shortest and longest living species. This natural difference may uncover the evolutionary forces and molecular features that define longevity. To understand the relationship between gene expression variation and longevity, we conducted a comparative transcriptomics analysis of liver, kidney, and brain tissues of 103 mammalian species. We found that few genes exhibit common expression patterns with longevity in the three organs analyzed. However, pathways related to translation fidelity, such as nonsense-mediated decay and eukaryotic translation elongation, correlated with longevity across mammals. Analyses of selection pressure found that selection intensity related to the direction of longevity-correlated genes is inconsistent across organs. Furthermore, expression of methionine restriction-related genes correlated with longevity and was under strong selection in long-lived mammals, suggesting that a common strategy is utilized by natural selection and artificial intervention to control lifespan. Our results indicate that lifespan regulation via gene expression is driven through polygenic and indirect natural selection.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Longevidad / Mamíferos Tipo de estudio: Risk_factors_studies Límite: Animals / Female / Humans / Male Idioma: En Revista: EMBO J Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Longevidad / Mamíferos Tipo de estudio: Risk_factors_studies Límite: Animals / Female / Humans / Male Idioma: En Revista: EMBO J Año: 2023 Tipo del documento: Article País de afiliación: China