Document Detail


End-of-life cell cycle arrest contributes to stochasticity of yeast replicative aging.
MedLine Citation:
PMID:  23336757     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
There is growing evidence that stochastic events play an important role in determining individual longevity. Studies in model organisms have demonstrated that genetically identical populations maintained under apparently equivalent environmental conditions display individual variation in life span that can be modeled by the Gompertz-Makeham law of mortality. Here, we report that within genetically identical haploid and diploid wild-type populations, shorter-lived cells tend to arrest in a budded state, while cells that arrest in an unbudded state are significantly longer-lived. This relationship is particularly notable in diploid BY4743 cells, where mother cells that arrest in a budded state have a shorter mean life span (25.6 vs. 35.6) and larger coefficient of variance with respect to individual life span (0.42 vs. 0.32) than cells that arrest in an unbudded state. Mutations that cause genomic instability tend to shorten life span and increase the proportion of the population that arrest in a budded state. These observations suggest that randomly occurring damage may contribute to stochasticity during replicative aging by causing a subset of the population to terminally arrest prematurely in the S or G2 phase of the cell cycle.
Authors:
Joe R Delaney; Annie Chou; Brady Olsen; Daniel Carr; Christopher Murakami; Umema Ahmed; Sylvia Sim; Elroy H An; Anthony S Castanza; Marissa Fletcher; Sean Higgins; Mollie Holmberg; Jessica Hui; Monika Jelic; Ki-Soo Jeong; Jin R Kim; Shannon Klum; Eric Liao; Michael S Lin; Winston Lo; Hillary Miller; Richard Moller; Zhao J Peng; Tom Pollard; Prarthana Pradeep; Dillon Pruett; Dilreet Rai; Vanessa Ros; Jennifer Schleit; Alex Schuster; Minnie Singh; Benjamin L Spector; George L Sutphin; Adrienne M Wang; Brian M Wasko; Helen Vander Wende; Brian K Kennedy; Matt Kaeberlein
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2013-02-20
Journal Detail:
Title:  FEMS yeast research     Volume:  13     ISSN:  1567-1364     ISO Abbreviation:  FEMS Yeast Res.     Publication Date:  2013 May 
Date Detail:
Created Date:  2013-04-08     Completed Date:  2013-09-19     Revised Date:  2014-05-07    
Medline Journal Info:
Nlm Unique ID:  101085384     Medline TA:  FEMS Yeast Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  267-76     Citation Subset:  IM    
Copyright Information:
© 2013 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.
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MeSH Terms
Descriptor/Qualifier:
Cell Cycle Checkpoints*
Microbial Viability*
Stochastic Processes
Yeasts / physiology*
Grant Support
ID/Acronym/Agency:
R01 AG039390/AG/NIA NIH HHS; R01AG039390/AG/NIA NIH HHS; T32 AG000057/AG/NIA NIH HHS; T32 ES007032/ES/NIEHS NIH HHS; T32AG000057/AG/NIA NIH HHS; T32ES007032/ES/NIEHS NIH HHS
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