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

Author:

Kaya Alaattin1ORCID,Phua Cheryl Zi Jin2,Lee Mitchell3,Wang Lu4,Tyshkovskiy Alexander56,Ma Siming2,Barre Benjamin5,Liu Weiqiang7,Harrison Benjamin R3,Zhao Xiaqing3,Zhou Xuming5,Wasko Brian M8,Bammler Theo K4,Promislow Daniel EL39,Kaeberlein Matt3ORCID,Gladyshev Vadim N5ORCID

Affiliation:

1. Department of Biology, Virginia Commonwealth University

2. Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR)

3. Department of Laboratory Medicine and Pathology, University of Washington

4. Department of Environmental and Occupational Health Sciences, University of Washington

5. Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School

6. Belozersky Institute of Physico-Chemical Biology, Moscow State University

7. Key Laboratory of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Institute of Zoology

8. Department of Biology, University of Houston - Clear Lake

9. Department of Biology, University of Washington

Abstract

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.

Funder

National Institutes of Health

University of Washington

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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