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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, H. J. Yang, Ran Tian, Inge Seim, Alaattin Kaya, Mingzhou Li, Ming Li, Vadim N. Gladyshev, Xuming Zhou

2023The EMBO Journal31 citationsDOIOpen Access PDF

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.

Topics & Concepts

BiologyLongevitySelection (genetic algorithm)Scale (ratio)Evolutionary biologyTranscriptomeGeneticsComputational biologyEcologyGeneGene expressionQuantum mechanicsArtificial intelligencePhysicsComputer scienceGenetics, Aging, and Longevity in Model OrganismsPhysiological and biochemical adaptations