Skip to main navigation Skip to search Skip to main content

Large-scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals

  • Weiqiang Liu
  • , Pingfen Zhu
  • , Meng Li
  • , Zihao Li
  • , Yang Yu
  • , Gaoming Liu
  • , Juan Du
  • , Xiao Wang
  • , Jing Yang
  • , Ran Tian
  • , Inge Seim
  • , Alaattin Kaya
  • , Mingzhou Li
  • , Ming Li
  • , Vadim N. Gladyshev
  • , Xuming Zhou*
  • *Corresponding author for this work
  • Key Laboratory of Animal Ecology and Conservation Biology
  • CAS - Institute of Zoology
  • University of Chinese Academy of Sciences
  • Key Laboratory of Brain Function and Disease
  • University of Science and Technology of China
  • Integrative Biology Laboratory
  • Nanjing Normal University
  • School of Biology and Environmental Science
  • Queensland University of Technology
  • Department of Biology
  • Virginia Commonwealth University
  • Institute of Animal Genetics and Breeding
  • Sichuan Agricultural University
  • Division of Genetics
  • Harvard University

Research output: Contribution to journal › Article › peer-review

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.

Original languageEnglish
Article numbere112740
JournalEMBO Journal
Volume42
Issue number17
DOIs
Publication statusPublished - 4 Sept 2023
Externally publishedYes

Keywords

  • comparative transcriptomics
  • longevity
  • mammals
  • natural selection

Fingerprint

Dive into the research topics of 'Large-scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals'. Together they form a unique fingerprint.

Cite this