Literature DB >> 16516427

Natural variation in replicative and chronological life spans of Saccharomyces cerevisiae.

Hong Qin1, Meng Lu.   

Abstract

Natural variation in the lifespan of natural yeast populations has not been systematically investigated. Here, we have quantified the variation in the replicative and chronological life spans (RLS and CLS) in natural isolates of Saccharomyces cerevisiae and found that genotypic variation accounts for about 22% of the total variation of RLS. Strikingly, the average RLS of 14 natural isolates is about 30% longer than that of 13 laboratory strains (32 versus 21 cell divisions). As is the case for aging in mammals, there is a negative correlation between the logarithmic transformation of the initial mortality rate and the Gompertz coefficient for RLS. Thus this characteristic feature of aging is conserved from yeast to mammals. The average CLS of the natural isolates is about 7 days, significantly shorter than that of the laboratory strains. There is no correlation between RLS and CLS in natural isolates. Possible reasons for the differences between natural and laboratory strains are discussed.

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Year:  2006        PMID: 16516427     DOI: 10.1016/j.exger.2006.01.007

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  22 in total

1.  Genomewide evolutionary rates in laboratory and wild yeast.

Authors:  James Ronald; Hua Tang; Rachel B Brem
Journal:  Genetics       Date:  2006-07-02       Impact factor: 4.562

2.  Oxidative stress tolerance, adenylate cyclase, and autophagy are key players in the chronological life span of Saccharomyces cerevisiae during winemaking.

Authors:  Helena Orozco; Emilia Matallana; Agustín Aranda
Journal:  Appl Environ Microbiol       Date:  2012-02-10       Impact factor: 4.792

3.  Inactivation of RAD52 and HDF1 DNA repair genes leads to premature chronological aging and cellular instability.

Authors:  Silvia Mercado-Saenz; Beatriz Lopez-Diaz; Francisco Sendra-Portero; Manuel Martinez-Morillo; Miguel J Ruiz-Gomez
Journal:  J Biosci       Date:  2017-06       Impact factor: 1.826

4.  Budding yeast SSD1-V regulates transcript levels of many longevity genes and extends chronological life span in purified quiescent cells.

Authors:  Lihong Li; Yong Lu; Li-Xuan Qin; Ziv Bar-Joseph; Margaret Werner-Washburne; Linda L Breeden
Journal:  Mol Biol Cell       Date:  2009-07-01       Impact factor: 4.138

Review 5.  Cryptococcus neoformans constitutes an ideal model organism to unravel the contribution of cellular aging to the virulence of chronic infections.

Authors:  Tejas Bouklas; Bettina C Fries
Journal:  Curr Opin Microbiol       Date:  2013-04-27       Impact factor: 7.934

6.  Uncoupling reproduction from metabolism extends chronological lifespan in yeast.

Authors:  Saisubramanian Nagarajan; Arthur L Kruckeberg; Karen H Schmidt; Evgueny Kroll; Morgan Hamilton; Kate McInnerney; Ryan Summers; Timothy Taylor; Frank Rosenzweig
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-31       Impact factor: 11.205

7.  Two-carbon metabolites, polyphenols and vitamins influence yeast chronological life span in winemaking conditions.

Authors:  Helena Orozco; Emilia Matallana; Agustín Aranda
Journal:  Microb Cell Fact       Date:  2012-08-08       Impact factor: 5.328

8.  Composition and acidification of the culture medium influences chronological aging similarly in vineyard and laboratory yeast.

Authors:  Christopher J Murakami; Valerie Wall; Nathan Basisty; Matt Kaeberlein
Journal:  PLoS One       Date:  2011-09-19       Impact factor: 3.240

9.  Genetic manipulation of longevity-related genes as a tool to regulate yeast life span and metabolite production during winemaking.

Authors:  Helena Orozco; Emilia Matallana; Agustín Aranda
Journal:  Microb Cell Fact       Date:  2013-01-02       Impact factor: 5.328

10.  Genomic instability is associated with natural life span variation in Saccharomyces cerevisiae.

Authors:  Hong Qin; Meng Lu; David S Goldfarb
Journal:  PLoS One       Date:  2008-07-16       Impact factor: 3.240

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