Literature DB >> 17483210

Variation in stress responses within a bacterial species and the indirect costs of stress resistance.

Thomas Ferenci1, Beny Spira.   

Abstract

Bacteria can exhibit high levels of resistance to one or more environmental stresses such as temperature, osmolarity, radiation, pH, starvation, as well as resistance to noxious chemicals and antibiotics. Yet evolution has not optimized stress resistance in all bacteria to all stresses. Even within a species like Escherichia coli, stress resistance is not constant between strains, suggesting that selection for stress resistance is under counterselection in some environments. The tradeoffs associated with stress resistance in E. coli are due to more than the direct cost of resistance mechanisms. A significant indirect cost is that high stress resistance is associated with a reduced ability to compete for poor growth substrates like acetate or even good substrates like glucose at suboptimal concentrations. High stress resistance also decreases the ability to use inorganic nutrients like phosphate. This tradeoff between self-preservation and nutritional competence, called the SPANC balance, is likely to be the major selective influence in natural populations. Another cost of high stress resistance in E. coli is an elevated mutation rate and the increased generation of deleterious mutations. Directional adaptations in SPANC balance and mutation rate are environment-dependent. The most common variations in SPANC are due to polymorphisms in the levels of global regulators RpoS and ppGpp between different strains. High levels favor stress resistance, and low levels allow better nutrition. The intimate association of RpoS/ppGpp with stress resistance and SPANC balancing influences numerous cellular processes and bacterial properties, including virulence.

Entities:  

Mesh:

Year:  2007        PMID: 17483210     DOI: 10.1196/annals.1391.003

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  22 in total

1.  Evolution of the RpoS regulon: origin of RpoS and the conservation of RpoS-dependent regulation in bacteria.

Authors:  Sarah M Chiang; Herb E Schellhorn
Journal:  J Mol Evol       Date:  2010-05-27       Impact factor: 2.395

2.  The fitness cost of streptomycin resistance depends on rpsL mutation, carbon source and RpoS (sigmaS).

Authors:  Wilhelm Paulander; Sophie Maisnier-Patin; Dan I Andersson
Journal:  Genetics       Date:  2009-08-03       Impact factor: 4.562

3.  Polymorphisms in rpoS and stress tolerance heterogeneity in natural isolates of Cronobacter sakazakii.

Authors:  Avelino Alvarez-Ordóñez; Máire Begley; Colin Hill
Journal:  Appl Environ Microbiol       Date:  2012-03-23       Impact factor: 4.792

4.  Phenotypic diversity caused by differential RpoS activity among environmental Escherichia coli isolates.

Authors:  Sarah M Chiang; Tao Dong; Thomas A Edge; Herb E Schellhorn
Journal:  Appl Environ Microbiol       Date:  2011-09-23       Impact factor: 4.792

5.  Stress induced cross-protection against environmental challenges on prokaryotic and eukaryotic microbes.

Authors:  Drauzio E N Rangel
Journal:  World J Microbiol Biotechnol       Date:  2010-10-16       Impact factor: 3.312

6.  Genome sequence analysis of Pseudomonas extremaustralis provides new insights into environmental adaptability and extreme conditions resistance.

Authors:  Laura J Raiger Iustman; Paula M Tribelli; José G Ibarra; Mariela V Catone; Esmeralda C Solar Venero; Nancy I López
Journal:  Extremophiles       Date:  2014-10-15       Impact factor: 2.395

7.  Intergenic sequence comparison of Escherichia coli isolates reveals lifestyle adaptations but not host specificity.

Authors:  A P White; K A Sibley; C D Sibley; J D Wasmuth; R Schaefer; M G Surette; T A Edge; N F Neumann
Journal:  Appl Environ Microbiol       Date:  2011-09-09       Impact factor: 4.792

8.  Selection for loss of RpoS in Cronobacter sakazakii by growth in the presence of acetate as a carbon source.

Authors:  Avelino Álvarez-Ordóñez; Máire Begley; Colin Hill
Journal:  Appl Environ Microbiol       Date:  2013-01-18       Impact factor: 4.792

9.  New approach for drug susceptibility testing: monitoring the stress response of mycobacteria.

Authors:  Ronald J Rieder; Zhihui Zhao; Boris Zavizion
Journal:  Antimicrob Agents Chemother       Date:  2009-08-24       Impact factor: 5.191

10.  Escherichia coli ATCC 8739 Adapts to the Presence of Sodium Chloride, Monosodium Glutamate, and Benzoic Acid after Extended Culture.

Authors:  Chin How Lee; Jack S H Oon; Kun Cheng Lee; Maurice H T Ling
Journal:  ISRN Microbiol       Date:  2012-03-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.