Literature DB >> 23296675

Assessing chronological aging in bacteria.

Stavros Gonidakis1, Valter D Longo.   

Abstract

Bacteria, which are often considered as avid reproductive organisms under constant selective pressure to utilize available nutrients to proliferate, might seem an inappropriate model to study aging. However, environmental conditions are rarely supporting the exponential growth that is most often studied in laboratories. In the wild, Escherichia coli inhabits environments of relative nutritional paucity. Not surprisingly, under such circumstances, members of an E. coli population age and progressively lose the ability to reproduce, even when environmental conditions provide such an opportunity. Here, we review the methods to study chronological aging in bacteria and some of the mechanisms that may contribute to their age-dependent loss of viability.

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Year:  2013        PMID: 23296675      PMCID: PMC4077615          DOI: 10.1007/978-1-62703-239-1_28

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  49 in total

Review 1.  Survival of enteric bacteria in seawater.

Authors:  Y Rozen; S Belkin
Journal:  FEMS Microbiol Rev       Date:  2001-12       Impact factor: 16.408

2.  Sorting out bacterial viability with optical tweezers.

Authors:  M Ericsson; D Hanstorp; P Hagberg; J Enger; T Nyström
Journal:  J Bacteriol       Date:  2000-10       Impact factor: 3.490

Review 3.  Stationary phase gene regulation: what makes an Escherichia coli promoter sigmaS-selective?

Authors:  Regine Hengge-Aronis
Journal:  Curr Opin Microbiol       Date:  2002-12       Impact factor: 7.934

4.  Stochastic gene expression in a single cell.

Authors:  Michael B Elowitz; Arnold J Levine; Eric D Siggia; Peter S Swain
Journal:  Science       Date:  2002-08-16       Impact factor: 47.728

5.  High-density microarray-mediated gene expression profiling of Escherichia coli.

Authors:  Y Wei; J M Lee; C Richmond; F R Blattner; J A Rafalski; R A LaRossa
Journal:  J Bacteriol       Date:  2001-01       Impact factor: 3.490

6.  E. coli hypoxia-inducible factor ArcA mediates lifespan extension in a lipoic acid synthase mutant by suppressing acetyl-CoA synthetase.

Authors:  Stavros Gonidakis; Steven E Finkel; Valter D Longo
Journal:  Biol Chem       Date:  2010-10       Impact factor: 3.915

7.  Survival of Escherichia coli during long-term starvation: effects of aeration, NaCl, and the rpoS and osmC gene products.

Authors:  A Conter; C Gangneux; M Suzanne; C Gutierrez
Journal:  Res Microbiol       Date:  2001 Jan-Feb       Impact factor: 3.992

8.  An evolutionary genome scan for longevity-related natural selection in mammals.

Authors:  Richard W Jobson; Benoit Nabholz; Nicolas Galtier
Journal:  Mol Biol Evol       Date:  2009-12-02       Impact factor: 16.240

9.  The growth advantage in stationary-phase phenotype conferred by rpoS mutations is dependent on the pH and nutrient environment.

Authors:  Michael J Farrell; Steven E Finkel
Journal:  J Bacteriol       Date:  2003-12       Impact factor: 3.490

10.  The HIF-1 hypoxia-inducible factor modulates lifespan in C. elegans.

Authors:  Yi Zhang; Zhiyong Shao; Zhiwei Zhai; Chuan Shen; Jo Anne Powell-Coffman
Journal:  PLoS One       Date:  2009-07-27       Impact factor: 3.240

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  3 in total

Review 1.  A Tale of Two Concepts: Harmonizing the Free Radical and Antagonistic Pleiotropy Theories of Aging.

Authors:  Alexey Golubev; Andrew D Hanson; Vadim N Gladyshev
Journal:  Antioxid Redox Signal       Date:  2017-10-17       Impact factor: 8.401

2.  Dual functionality of the amyloid protein TasA in Bacillus physiology and fitness on the phylloplane.

Authors:  Jesús Cámara-Almirón; Yurena Navarro; Luis Díaz-Martínez; María Concepción Magno-Pérez-Bryan; Carlos Molina-Santiago; John R Pearson; Antonio de Vicente; Alejandro Pérez-García; Diego Romero
Journal:  Nat Commun       Date:  2020-04-20       Impact factor: 14.919

3.  Uncovering Natural Longevity Alleles from Intercrossed Pools of Aging Fission Yeast Cells.

Authors:  David A Ellis; Ville Mustonen; María Rodríguez-López; Charalampos Rallis; Michał Malecki; Daniel C Jeffares; Jürg Bähler
Journal:  Genetics       Date:  2018-08-02       Impact factor: 4.562

  3 in total

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