4.8 Article

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

Journal

ELIFE
Volume 10, Issue -, Pages -

Publisher

eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.64860

Keywords

aging; natural lifespan variation; longevity; gene-environment interaction; multi-omics; yeast; S; cerevisiae; S; paradoxus

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Funding

  1. National Institutes of Health [1K01AG060040, AG067782, AG064223, AG049494, T32 AG052354, P30AG013280]

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This study explored replicative lifespan diversity among diverse wild yeast isolates, identifying genetic networks and novel genes, metabolites, and pathways associated with natural variation in lifespan. Furthermore, it revealed unique adaptations in long-lived strains to interconnected amino acid biosynthesis, glutamate metabolism, and mitochondrial function. Overall, the research demonstrates how gene-environment interactions shape cellular processes involved in phenotypic variation such as lifespan.
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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