Literature DB >> 32661001

Strong Environment-Genotype Interactions Determine the Fitness Costs of Antibiotic Resistance In Vitro and in an Insect Model of Infection.

C James Manktelow1,2, Elitsa Penkova2, Lucy Scott2, Andrew C Matthews2, Ben Raymond3,2.   

Abstract

The acquisition of antibiotic resistance commonly imposes fitness costs, a reduction in the fitness of bacteria in the absence of drugs. These costs have been quantified primarily using in vitro experiments and a small number of in vivo studies in mice, and it is commonly assumed that these diverse methods are consistent. Here, we used an insect model of infection to compare the fitness costs of antibiotic resistance in vivo to those in vitro Experiments explored diverse mechanisms of resistance in a Gram-positive pathogen, Bacillus thuringiensis, and a Gram-negative intestinal symbiont, Enterobacter cloacae Rifampin resistance in B. thuringiensis showed fitness costs that were typically elevated in vivo, although these were modulated by genotype-environment interactions. In contrast, resistance to cefotaxime via derepression of AmpC β-lactamase in E. cloacae resulted in no detectable costs in vivo or in vitro, while spontaneous resistance to nalidixic acid, and carriage of the IncP plasmid RP4, imposed costs that increased in vivo Overall, fitness costs in vitro were a poor predictor of fitness costs in vivo because of strong genotype-environment interactions throughout this study. Insect infections provide a cheap and accessible means of assessing the fitness consequences of resistance mutations, data that are important for understanding the evolution and spread of resistance. This study emphasizes that the fitness costs imposed by particular mutations or different modes of resistance are extremely variable and that only a subset of these mutations is likely to be prevalent outside the laboratory.
Copyright © 2020 American Society for Microbiology.

Entities:  

Keywords:  B. thuringiensis; Bacillus; E. cloacae; Enterobacter; antibiotic resistance; antimicrobial stewardship; antimicrobial susceptibility; fitness cost; insect models; pleiotropic cost

Mesh:

Substances:

Year:  2020        PMID: 32661001      PMCID: PMC7508608          DOI: 10.1128/AAC.01033-20

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  77 in total

1.  ampR gene mutations that greatly increase class C beta-lactamase activity in Enterobacter cloacae.

Authors:  A Kuga; R Okamoto; M Inoue
Journal:  Antimicrob Agents Chemother       Date:  2000-03       Impact factor: 5.191

2.  Utility of Greater Wax Moth Larva (Galleria mellonella) for Evaluating the Toxicity and Efficacy of New Antimicrobial Agents.

Authors:  Andrew P Desbois; Peter J Coote
Journal:  Adv Appl Microbiol       Date:  2012       Impact factor: 5.086

3.  Enhanced susceptibility of multidrug resistant strains of Mycobacterium tuberculosis to granulysin peptides correlates with a reduced fitness phenotype.

Authors:  Juan Carlos Toro; Sven Hoffner; Charlotte Linde; Mats Andersson; Jan Andersson; Susanna Grundström
Journal:  Microbes Infect       Date:  2006-06-02       Impact factor: 2.700

4.  Frequency dependence and cooperation: theory and a test with bacteria.

Authors:  Adin Ross-Gillespie; Andy Gardner; Stuart A West; Ashleigh S Griffin
Journal:  Am Nat       Date:  2007-07-19       Impact factor: 3.926

5.  A fitness cost associated with the antibiotic resistance enzyme SME-1 beta-lactamase.

Authors:  David C Marciano; Omid Y Karkouti; Timothy Palzkill
Journal:  Genetics       Date:  2007-06-11       Impact factor: 4.562

Review 6.  Fitness costs of insect resistance to Bacillus thuringiensis.

Authors:  Aaron J Gassmann; Yves Carrière; Bruce E Tabashnik
Journal:  Annu Rev Entomol       Date:  2009       Impact factor: 19.686

7.  The social biology of quorum sensing in a naturalistic host pathogen system.

Authors:  Liqin Zhou; Leyla Slamti; Christina Nielsen-LeRoux; Didier Lereclus; Ben Raymond
Journal:  Curr Biol       Date:  2014-10-09       Impact factor: 10.834

8.  The genetic basis of the fitness costs of antimicrobial resistance: a meta-analysis approach.

Authors:  Tom Vogwill; R Craig MacLean
Journal:  Evol Appl       Date:  2014-12-12       Impact factor: 5.183

9.  Selection for antimicrobial resistance is reduced when embedded in a natural microbial community.

Authors:  Uli Klümper; Mario Recker; Lihong Zhang; Xiaole Yin; Tong Zhang; Angus Buckling; William H Gaze
Journal:  ISME J       Date:  2019-08-05       Impact factor: 10.302

10.  Positive selection and compensatory adaptation interact to stabilize non-transmissible plasmids.

Authors:  A San Millan; R Peña-Miller; M Toll-Riera; Z V Halbert; A R McLean; B S Cooper; R C MacLean
Journal:  Nat Commun       Date:  2014-10-10       Impact factor: 14.919

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