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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: Kaya, Alaattin, Phua, Cheryl Zi Jin, Lee, Mitchell, Wang, Lu, Tyshkovskiy, Alexander, Ma, Siming, Barre, Benjamin, Liu, Weiqiang, Harrison, Benjamin R, Zhao, Xiaqing, Zhou, Xuming, Wasko, Brian M, Bammler, Theo K, Promislow, Daniel EL, Kaeberlein, Matt, Gladyshev, Vadim N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612763/
https://www.ncbi.nlm.nih.gov/pubmed/34751131
http://dx.doi.org/10.7554/eLife.64860
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author Kaya, Alaattin
Phua, Cheryl Zi Jin
Lee, Mitchell
Wang, Lu
Tyshkovskiy, Alexander
Ma, Siming
Barre, Benjamin
Liu, Weiqiang
Harrison, Benjamin R
Zhao, Xiaqing
Zhou, Xuming
Wasko, Brian M
Bammler, Theo K
Promislow, Daniel EL
Kaeberlein, Matt
Gladyshev, Vadim N
author_facet Kaya, Alaattin
Phua, Cheryl Zi Jin
Lee, Mitchell
Wang, Lu
Tyshkovskiy, Alexander
Ma, Siming
Barre, Benjamin
Liu, Weiqiang
Harrison, Benjamin R
Zhao, Xiaqing
Zhou, Xuming
Wasko, Brian M
Bammler, Theo K
Promislow, Daniel EL
Kaeberlein, Matt
Gladyshev, Vadim N
author_sort Kaya, Alaattin
collection PubMed
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.
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spelling pubmed-86127632021-11-26 Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast Kaya, Alaattin Phua, Cheryl Zi Jin Lee, Mitchell Wang, Lu Tyshkovskiy, Alexander Ma, Siming Barre, Benjamin Liu, Weiqiang Harrison, Benjamin R Zhao, Xiaqing Zhou, Xuming Wasko, Brian M Bammler, Theo K Promislow, Daniel EL Kaeberlein, Matt Gladyshev, Vadim N eLife Genetics and Genomics 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. eLife Sciences Publications, Ltd 2021-11-09 /pmc/articles/PMC8612763/ /pubmed/34751131 http://dx.doi.org/10.7554/eLife.64860 Text en © 2021, Kaya et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Genetics and Genomics
Kaya, Alaattin
Phua, Cheryl Zi Jin
Lee, Mitchell
Wang, Lu
Tyshkovskiy, Alexander
Ma, Siming
Barre, Benjamin
Liu, Weiqiang
Harrison, Benjamin R
Zhao, Xiaqing
Zhou, Xuming
Wasko, Brian M
Bammler, Theo K
Promislow, Daniel EL
Kaeberlein, Matt
Gladyshev, Vadim N
Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast
title 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_short 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
topic Genetics and Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612763/
https://www.ncbi.nlm.nih.gov/pubmed/34751131
http://dx.doi.org/10.7554/eLife.64860
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