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Large‐scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals
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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476176/ https://www.ncbi.nlm.nih.gov/pubmed/37427458 http://dx.doi.org/10.15252/embj.2022112740 |
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author | 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 |
author_facet | 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 |
author_sort | Liu, Weiqiang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10476176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104761762023-09-05 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 EMBO J Resource 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. John Wiley and Sons Inc. 2023-07-10 /pmc/articles/PMC10476176/ /pubmed/37427458 http://dx.doi.org/10.15252/embj.2022112740 Text en © 2023 The Authors. Published under the terms of the CC BY 4.0 license. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Resource 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 Large‐scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals |
title | Large‐scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals |
title_full | Large‐scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals |
title_fullStr | Large‐scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals |
title_full_unstemmed | Large‐scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals |
title_short | Large‐scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals |
title_sort | large‐scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476176/ https://www.ncbi.nlm.nih.gov/pubmed/37427458 http://dx.doi.org/10.15252/embj.2022112740 |
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