Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast

To understand the genetic basis and selective forces acting on longevity, it is useful to examine lifespan variation among closely related species, or ecologically diverse isolates of the same species, within a controlled environment. In particular, this approach may lead to understanding mechanisms...

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Autores principales: Alaattin Kaya, Cheryl Zi Jin Phua, Mitchell Lee, Lu Wang, Alexander Tyshkovskiy, Siming Ma, Benjamin Barre, Weiqiang Liu, Benjamin R Harrison, Xiaqing Zhao, Xuming Zhou, Brian M Wasko, Theo K Bammler, Daniel EL Promislow, Matt Kaeberlein, Vadim N Gladyshev
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Lenguaje:EN
Publicado: eLife Sciences Publications Ltd 2021
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Acceso en línea:https://doaj.org/article/a23ce55a348841cb82af4f69eb2572cd
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spelling oai:doaj.org-article:a23ce55a348841cb82af4f69eb2572cd2021-11-30T14:24:53ZEvolution of natural lifespan variation and molecular strategies of extended lifespan in yeast10.7554/eLife.648602050-084Xe64860https://doaj.org/article/a23ce55a348841cb82af4f69eb2572cd2021-11-01T00:00:00Zhttps://elifesciences.org/articles/64860https://doaj.org/toc/2050-084XTo understand the genetic basis and selective forces acting on longevity, it is useful to examine lifespan variation among closely related species, or ecologically diverse isolates of the same species, within a controlled environment. In particular, this approach may lead to understanding mechanisms underlying natural variation in lifespan. Here, we analyzed 76 ecologically diverse wild yeast isolates and discovered a wide diversity of replicative lifespan (RLS). Phylogenetic analyses pointed to genes and environmental factors that strongly interact to modulate the observed aging patterns. We then identified genetic networks causally associated with natural variation in RLS across wild yeast isolates, as well as genes, metabolites, and pathways, many of which have never been associated with yeast lifespan in laboratory settings. In addition, a combined analysis of lifespan-associated metabolic and transcriptomic changes revealed unique adaptations to interconnected amino acid biosynthesis, glutamate metabolism, and mitochondrial function in long-lived strains. Overall, our multiomic and lifespan analyses across diverse isolates of the same species shows how gene–environment interactions shape cellular processes involved in phenotypic variation such as lifespan.Alaattin KayaCheryl Zi Jin PhuaMitchell LeeLu WangAlexander TyshkovskiySiming MaBenjamin BarreWeiqiang LiuBenjamin R HarrisonXiaqing ZhaoXuming ZhouBrian M WaskoTheo K BammlerDaniel EL PromislowMatt KaeberleinVadim N GladysheveLife Sciences Publications Ltdarticleagingnatural lifespan variationlongevitygene-environment interactionmulti-omicsyeastMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution DOAJ
collection DOAJ
language EN
topic aging
natural lifespan variation
longevity
gene-environment interaction
multi-omics
yeast
Medicine
R
Science
Q
Biology (General)
QH301-705.5
spellingShingle aging
natural lifespan variation
longevity
gene-environment interaction
multi-omics
yeast
Medicine
R
Science
Q
Biology (General)
QH301-705.5
Alaattin Kaya
Cheryl Zi Jin Phua
Mitchell Lee
Lu Wang
Alexander Tyshkovskiy
Siming Ma
Benjamin Barre
Weiqiang Liu
Benjamin R Harrison
Xiaqing Zhao
Xuming Zhou
Brian M Wasko
Theo K Bammler
Daniel EL Promislow
Matt Kaeberlein
Vadim N Gladyshev
Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast
description To understand the genetic basis and selective forces acting on longevity, it is useful to examine lifespan variation among closely related species, or ecologically diverse isolates of the same species, within a controlled environment. In particular, this approach may lead to understanding mechanisms underlying natural variation in lifespan. Here, we analyzed 76 ecologically diverse wild yeast isolates and discovered a wide diversity of replicative lifespan (RLS). Phylogenetic analyses pointed to genes and environmental factors that strongly interact to modulate the observed aging patterns. We then identified genetic networks causally associated with natural variation in RLS across wild yeast isolates, as well as genes, metabolites, and pathways, many of which have never been associated with yeast lifespan in laboratory settings. In addition, a combined analysis of lifespan-associated metabolic and transcriptomic changes revealed unique adaptations to interconnected amino acid biosynthesis, glutamate metabolism, and mitochondrial function in long-lived strains. Overall, our multiomic and lifespan analyses across diverse isolates of the same species shows how gene–environment interactions shape cellular processes involved in phenotypic variation such as lifespan.
format article
author Alaattin Kaya
Cheryl Zi Jin Phua
Mitchell Lee
Lu Wang
Alexander Tyshkovskiy
Siming Ma
Benjamin Barre
Weiqiang Liu
Benjamin R Harrison
Xiaqing Zhao
Xuming Zhou
Brian M Wasko
Theo K Bammler
Daniel EL Promislow
Matt Kaeberlein
Vadim N Gladyshev
author_facet Alaattin Kaya
Cheryl Zi Jin Phua
Mitchell Lee
Lu Wang
Alexander Tyshkovskiy
Siming Ma
Benjamin Barre
Weiqiang Liu
Benjamin R Harrison
Xiaqing Zhao
Xuming Zhou
Brian M Wasko
Theo K Bammler
Daniel EL Promislow
Matt Kaeberlein
Vadim N Gladyshev
author_sort Alaattin Kaya
title Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast
title_short Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast
title_full Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast
title_fullStr Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast
title_full_unstemmed Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast
title_sort evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast
publisher eLife Sciences Publications Ltd
publishDate 2021
url https://doaj.org/article/a23ce55a348841cb82af4f69eb2572cd
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