Literature DB >> 26113371

Adaptive Landscapes of Resistance Genes Change as Antibiotic Concentrations Change.

Portia M Mira1, Juan C Meza1, Anna Nandipati1, Miriam Barlow2.   

Abstract

Most studies on the evolution of antibiotic resistance are focused on selection for resistance at lethal antibiotic concentrations, which has allowed the detection of mutant strains that show strong phenotypic traits. However, solely focusing on lethal concentrations of antibiotics narrowly limits our perspective of antibiotic resistance evolution. New high-resolution competition assays have shown that resistant bacteria are selected at relatively low concentrations of antibiotics. This finding is important because sublethal concentrations of antibiotics are found widely in patients undergoing antibiotic therapies, and in nonmedical conditions such as wastewater treatment plants, and food and water used in agriculture and farming. To understand the impacts of sublethal concentrations on selection, we measured 30 adaptive landscapes for a set of TEM β-lactamases containing all combinations of the four amino acid substitutions that exist in TEM-50 for 15 β-lactam antibiotics at multiple concentrations. We found that there are many evolutionary pathways within this collection of landscapes that lead to nearly every TEM-genotype that we studied. While it is known that the pathways change depending on the type of β-lactam, this study demonstrates that the landscapes including fitness optima also change dramatically as the concentrations of antibiotics change. Based on these results we conclude that the presence of multiple concentrations of β-lactams in an environment result in many different adaptive landscapes through which pathways to nearly every genotype are available. Ultimately this may increase the diversity of genotypes in microbial populations.
© The Author 2015. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  adaptive landscapes; antibiotic concentrations; antibiotic resistance; epistasis; genotype-by-environment interactions; inhibitor resistant; β-lactam

Mesh:

Substances:

Year:  2015        PMID: 26113371     DOI: 10.1093/molbev/msv146

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  18 in total

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2.  Local Fitness Landscapes Predict Yeast Evolutionary Dynamics in Directionally Changing Environments.

Authors:  Florien A Gorter; Mark G M Aarts; Bas J Zwaan; J Arjan G M de Visser
Journal:  Genetics       Date:  2017-11-15       Impact factor: 4.562

3.  Clinical Evolution of New Delhi Metallo-β-Lactamase (NDM) Optimizes Resistance under Zn(II) Deprivation.

Authors:  Guillermo Bahr; Luisina Vitor-Horen; Christopher R Bethel; Robert A Bonomo; Lisandro J González; Alejandro J Vila
Journal:  Antimicrob Agents Chemother       Date:  2017-12-21       Impact factor: 5.191

4.  Statistical Package for Growth Rates Made Easy.

Authors:  Portia Mira; Miriam Barlow; Juan C Meza; Barry G Hall
Journal:  Mol Biol Evol       Date:  2017-12-01       Impact factor: 16.240

5.  Diffusion-driven enhancement of the antibiotic resistance selection window.

Authors:  Ayari Fuentes-Hernández; Anastasia Hernández-Koutoucheva; Alán F Muñoz; Raúl Domínguez Palestino; Rafael Peña-Miller
Journal:  J R Soc Interface       Date:  2019-09-11       Impact factor: 4.118

6.  Adaptive Processes Change as Multiple Functions Evolve.

Authors:  Portia M Mira; Bjørn Østman; Candace Guzman-Cole; Suzanne Sindi; Miriam Barlow
Journal:  Antimicrob Agents Chemother       Date:  2021-03-18       Impact factor: 5.191

7.  Widespread Genetic Incompatibilities between First-Step Mutations during Parallel Adaptation of Saccharomyces cerevisiae to a Common Environment.

Authors:  Jasmine Ono; Aleeza C Gerstein; Sarah P Otto
Journal:  PLoS Biol       Date:  2017-01-23       Impact factor: 8.029

8.  History of antibiotic adaptation influences microbial evolutionary dynamics during subsequent treatment.

Authors:  Phillip Yen; Jason A Papin
Journal:  PLoS Biol       Date:  2017-08-08       Impact factor: 8.029

Review 9.  Epistasis and the Evolution of Antimicrobial Resistance.

Authors:  Alex Wong
Journal:  Front Microbiol       Date:  2017-02-17       Impact factor: 5.640

10.  The Influence of Higher-Order Epistasis on Biological Fitness Landscape Topography.

Authors:  Daniel M Weinreich; Yinghong Lan; Jacob Jaffe; Robert B Heckendorn
Journal:  J Stat Phys       Date:  2018-02-07       Impact factor: 1.548

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