Literature DB >> 10943377

Selection of very small differences in bacterial evolution.

F Baquero1, M C Negri, M I Morosini, J Blázquez.   

Abstract

As the Science of Biology is constantly changing due to new discoveries and advanced techniques it is essential that a systematic study of the environmental causes of natural selection on microorganisms be conducted. Very small phenotypic differences among individuals within bacterial populations arise as a result of spontaneous genetic variation, but the evolutionary importance of these small changes is frequently considered to be non-significant. Recent in vitro experiments indicate that efficient selection of these very small differences may take place in environmental compartments where a particular intensity of the selective agent is exerted. Model studies based on competition between bacterial populations only differing in one or two amino acid changes of a detoxifying antibiotic enzyme (e.g. beta-lactamase) have shown that at a narrow range of antibiotic concentrations the variant population is strongly selected over the original type, despite the extremely low phenotypic differences in antibiotic susceptibility. These selective concentrations are expected to occur in precise environmental compartments (selective compartments). Due to the high frequency of structured habitats in natural environments, the intensity of selective agents is commonly exerted along certain gradients. Each one of the points forming these gradients (or intersection among gradients) may have a particular selective ability for a specific genetic variant. Considering the environment as a composition of an extremely high number of specific selective compartments may help to understand the existence of high levels of genetic variability in natural bacterial populations. This may be one of the clues towards the unraveling of bacterial evolution.

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Year:  1998        PMID: 10943377

Source DB:  PubMed          Journal:  Int Microbiol        ISSN: 1139-6709            Impact factor:   2.479


  9 in total

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2.  Genetic determinants involved in the susceptibility of Pseudomonas aeruginosa to beta-lactam antibiotics.

Authors:  Carolina Alvarez-Ortega; Irith Wiegand; Jorge Olivares; Robert E W Hancock; José Luis Martínez
Journal:  Antimicrob Agents Chemother       Date:  2010-08-02       Impact factor: 5.191

3.  Environmental selection and epistasis in an empirical phenotype-environment-fitness landscape.

Authors:  J Z Chen; D M Fowler; N Tokuriki
Journal:  Nat Ecol Evol       Date:  2022-02-24       Impact factor: 19.100

4.  Selection of resistant bacteria at very low antibiotic concentrations.

Authors:  Erik Gullberg; Sha Cao; Otto G Berg; Carolina Ilbäck; Linus Sandegren; Diarmaid Hughes; Dan I Andersson
Journal:  PLoS Pathog       Date:  2011-07-21       Impact factor: 6.823

5.  Public health evolutionary biology of antimicrobial resistance: priorities for intervention.

Authors:  Fernando Baquero; Val F Lanza; Rafael Cantón; Teresa M Coque
Journal:  Evol Appl       Date:  2014-12-11       Impact factor: 5.183

6.  Cryptic β-Lactamase Evolution Is Driven by Low β-Lactam Concentrations.

Authors:  Ørjan Samuelsen; Christopher Fröhlich; João A Gama; Klaus Harms; Viivi H A Hirvonen; Bjarte A Lund; Marc W van der Kamp; Pål J Johnsen; Hanna-Kirsti S Leiros
Journal:  mSphere       Date:  2021-04-28       Impact factor: 4.389

7.  Evolution of β-lactamase-mediated cefiderocol resistance.

Authors:  Christopher Fröhlich; Vidar Sørum; Nobuhiko Tokuriki; Pål Jarle Johnsen; Ørjan Samuelsen
Journal:  J Antimicrob Chemother       Date:  2022-08-25       Impact factor: 5.758

8.  The look-ahead effect of phenotypic mutations.

Authors:  Dion J Whitehead; Claus O Wilke; David Vernazobres; Erich Bornberg-Bauer
Journal:  Biol Direct       Date:  2008-05-14       Impact factor: 4.540

9.  Agrichemicals and antibiotics in combination increase antibiotic resistance evolution.

Authors:  Brigitta Kurenbach; Amy M Hill; William Godsoe; Sophie van Hamelsveld; Jack A Heinemann
Journal:  PeerJ       Date:  2018-10-12       Impact factor: 2.984

  9 in total

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