Literature DB >> 9264256

Selective compartments for resistant microorganisms in antibiotic gradients.

F Baquero1, M C Negri.   

Abstract

The development of bacterial resistance to antibiotics is one of the best documented examples of contemporary biological evolution. Variability in the mechanisms of resistance depends on the diversity of genotypes in the huge bacterial populations, and also on the diversity of selective pressures that are produced along the antibiotic concentration gradients formed in the highly compartmentalized human body during therapy. These antibiotic gradients can be conceived as comprising selective compartments, each one of them defined as the concentration able to select a particular genetic variant. In vitro experimental models confirm that some antibiotic resistant variants are selected only at certain selective concentrations of antibiotics. The correspondence between selective compartments and selectable variants could offer a way of describing more accurately the antibiotic selective landscapes and for taking measures to prevent the development of a major threat to the future of modern medicine.

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Year:  1997        PMID: 9264256     DOI: 10.1002/bies.950190814

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  42 in total

Review 1.  Mutation frequencies and antibiotic resistance.

Authors:  J L Martinez; F Baquero
Journal:  Antimicrob Agents Chemother       Date:  2000-07       Impact factor: 5.191

2.  Use of mutator strains for characterization of novel antimicrobial agents.

Authors:  A J O'Neill; I Chopra
Journal:  Antimicrob Agents Chemother       Date:  2001-05       Impact factor: 5.191

3.  Concentration-dependent selection of small phenotypic differences in TEM beta-lactamase-mediated antibiotic resistance.

Authors:  M C Negri; M Lipsitch; J Blázquez; B R Levin; F Baquero
Journal:  Antimicrob Agents Chemother       Date:  2000-09       Impact factor: 5.191

4.  Selection of resistant Streptococcus pneumoniae during penicillin treatment in vitro and in three animal models.

Authors:  Jenny Dahl Knudsen; Inga Odenholt; Helga Erlendsdottir; Magnus Gottfredsson; Otto Cars; Niels Frimodt-Møller; Frank Espersen; Karl G Kristinsson; Sigurdur Gudmundsson
Journal:  Antimicrob Agents Chemother       Date:  2003-08       Impact factor: 5.191

5.  On the rapidity of antibiotic resistance evolution facilitated by a concentration gradient.

Authors:  Rutger Hermsen; J Barrett Deris; Terence Hwa
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-18       Impact factor: 11.205

6.  Mutant prevention concentration-based pharmacokinetic/pharmacodynamic indices as dosing targets for suppressing the enrichment of levofloxacin-resistant subpopulations of Staphylococcus aureus.

Authors:  Beibei Liang; Nan Bai; Yun Cai; Rui Wang; Karl Drlica; Xilin Zhao
Journal:  Antimicrob Agents Chemother       Date:  2011-02-22       Impact factor: 5.191

7.  Sources and sinks: a stochastic model of evolution in heterogeneous environments.

Authors:  Rutger Hermsen; Terence Hwa
Journal:  Phys Rev Lett       Date:  2010-12-08       Impact factor: 9.161

8.  Lytic phages obscure the cost of antibiotic resistance in Escherichia coli.

Authors:  Samuel J Tazzyman; Alex R Hall
Journal:  ISME J       Date:  2015-03-17       Impact factor: 10.302

9.  Chromosomal barcoding of E. coli populations reveals lineage diversity dynamics at high resolution.

Authors:  Weronika Jasinska; Michael Manhart; Jesse Lerner; Louis Gauthier; Adrian W R Serohijos; Shimon Bershtein
Journal:  Nat Ecol Evol       Date:  2020-02-24       Impact factor: 15.460

10.  Role of Pseudomonas aeruginosa AmpR on β-lactam and non-β-lactam transient cross-resistance upon pre-exposure to subinhibitory concentrations of antibiotics.

Authors:  Hansi Kumari; Deepak Balasubramanian; Diansy Zincke; Kalai Mathee
Journal:  J Med Microbiol       Date:  2014-01-25       Impact factor: 2.472

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