Department of Biology, Virginia Commonwealth University, Richmond, United States
Cheryl Zi Jin Phua
Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
Mitchell Lee
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, United States
Lu Wang
Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, United States
Alexander Tyshkovskiy
Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, United States; Belozersky Institute of Physico-Chemical Biology, Moscow State University, Moscow, Russian Federation
Siming Ma
Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
Benjamin Barre
Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, United States
Weiqiang Liu
Key Laboratory of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
Benjamin R Harrison
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, United States
Xiaqing Zhao
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, United States
Xuming Zhou
Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, United States
Brian M Wasko
Department of Biology, University of Houston - Clear Lake, Houston, United States
Theo K Bammler
Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, United States
Daniel EL Promislow
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, United States; Department of Biology, University of Washington, Seattle, United States
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.