Garay E~Deluna A, 2014

Pubmed ID 24586198
Title High-resolution profiling of stationary-phase survival reveals yeast longevity factors and their genetic interactions.
Authors Erika Garay, Sergio E Campos, Jorge González de la Cruz, Ana P Gaspar, Adrian Jinich, Alexander Deluna
Abstract Lifespan is influenced by a large number of conserved proteins and gene-regulatory pathways. Here, we introduce a strategy for systematically finding such longevity factors in Saccharomyces cerevisiae and scoring the genetic interactions (epistasis) among these factors. Specifically, we developed an automated competition-based assay for chronological lifespan, defined as stationary-phase survival of yeast populations, and used it to phenotype over 5,600 single- or double-gene knockouts at unprecedented quantitative resolution. We found that 14% of the viable yeast mutant strains were affected in their stationary-phase survival; the extent of true-positive chronological lifespan factors was estimated by accounting for the effects of culture aeration and adaptive regrowth. We show that lifespan extension by dietary restriction depends on the Swr1 histone-exchange complex and that a functional link between autophagy and the lipid-homeostasis factor Arv1 has an impact on cellular lifespan. Importantly, we describe the first genetic interaction network based on aging phenotypes, which successfully recapitulated the core-autophagy machinery and confirmed a role of the human tumor suppressor PTEN homologue in yeast lifespan and phosphatidylinositol phosphate metabolism. Our quantitative analysis of longevity factors and their genetic interactions provides insights into the gene-network interactions of aging cells.
Citation PLoS Genet. 2014; 10:e1004168

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Papers Phenotype Conditions Collection Tested mutants Data Details
Garay E~Deluna A, 2014 chronological lifespan standard [standard] hap a 3,878 Quantitative

Curation history

March 4, 2014 Tested strains to load.
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April 7, 2014 Tested strains loaded.
April 7, 2014 Data loaded.