Literature DB >> 34312522

Bottleneck size and selection level reproducibly impact evolution of antibiotic resistance.

Niels Mahrt1, Alexandra Tietze1, Sven Künzel2, Sören Franzenburg3, Camilo Barbosa1,4, Gunther Jansen1, Hinrich Schulenburg5,6.   

Abstract

During antibiotic treatment, the evolution of bacterial pathogens is fundamentally affected by bottlenecks and varying selection levels imposed by the drugs. Bottlenecks-that is, reductions in bacterial population size-lead to an increased influence of random effects (genetic drift) during bacterial evolution, and varying antibiotic concentrations during treatment may favour distinct resistance variants. Both aspects influence the process of bacterial evolution during antibiotic therapy and thereby treatment outcome. Surprisingly, the joint influence of these interconnected factors on the evolution of antibiotic resistance remains largely unexplored. Here we combine evolution experiments with genomic and genetic analyses to demonstrate that bottleneck size and antibiotic-induced selection reproducibly impact the evolutionary path to resistance in pathogenic Pseudomonas aeruginosa, one of the most problematic opportunistic human pathogens. Resistance is favoured-expectedly-under high antibiotic selection and weak bottlenecks, but-unexpectedly-also under low antibiotic selection and severe bottlenecks. The latter is likely to result from a reduced probability of losing favourable variants through drift under weak selection. Moreover, the absence of high resistance under low selection and weak bottlenecks is caused by the spread of low-resistance variants with high competitive fitness under these conditions. We conclude that bottlenecks, in combination with drug-induced selection, are currently neglected key determinants of pathogen evolution and outcome of antibiotic treatment.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34312522     DOI: 10.1038/s41559-021-01511-2

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   15.460


  56 in total

1.  How should pathogen transmission be modelled?

Authors:  H McCallum; N Barlow; J Hone
Journal:  Trends Ecol Evol       Date:  2001-06-01       Impact factor: 17.712

Review 2.  Origins and evolution of antibiotic resistance.

Authors:  Julian Davies; Dorothy Davies
Journal:  Microbiol Mol Biol Rev       Date:  2010-09       Impact factor: 11.056

Review 3.  The population genetics of antibiotic resistance: integrating molecular mechanisms and treatment contexts.

Authors:  R Craig MacLean; Alex R Hall; Gabriel G Perron; Angus Buckling
Journal:  Nat Rev Genet       Date:  2010-06       Impact factor: 53.242

Review 4.  Population biology, evolution, and infectious disease: convergence and synthesis.

Authors:  B R Levin; M Lipsitch; S Bonhoeffer
Journal:  Science       Date:  1999-02-05       Impact factor: 47.728

Review 5.  The contributions of Paul Ehrlich to pharmacology: a tribute on the occasion of the centenary of his Nobel Prize.

Authors:  Fèlix Bosch; Laia Rosich
Journal:  Pharmacology       Date:  2008-08-05       Impact factor: 2.547

6.  A brief history of the antibiotic era: lessons learned and challenges for the future.

Authors:  Rustam I Aminov
Journal:  Front Microbiol       Date:  2010-12-08       Impact factor: 5.640

7.  Bottlenecks in the transferability of antibiotic resistance from natural ecosystems to human bacterial pathogens.

Authors:  José L Martínez
Journal:  Front Microbiol       Date:  2012-01-03       Impact factor: 5.640

8.  Population Bottlenecks Strongly Influence the Evolutionary Trajectory to Fluoroquinolone Resistance in Escherichia coli.

Authors:  Linnéa Garoff; Franziska Pietsch; Douglas L Huseby; Tua Lilja; Gerrit Brandis; Diarmaid Hughes
Journal:  Mol Biol Evol       Date:  2020-06-01       Impact factor: 16.240

9.  The Effect of Population Bottleneck Size and Selective Regime on Genetic Diversity and Evolvability in Bacteria.

Authors:  Tanita Wein; Tal Dagan
Journal:  Genome Biol Evol       Date:  2019-11-01       Impact factor: 3.416

Review 10.  Antibiotic resistance: a rundown of a global crisis.

Authors:  Bilal Aslam; Wei Wang; Muhammad Imran Arshad; Mohsin Khurshid; Saima Muzammil; Muhammad Hidayat Rasool; Muhammad Atif Nisar; Ruman Farooq Alvi; Muhammad Aamir Aslam; Muhammad Usman Qamar; Muhammad Khalid Farooq Salamat; Zulqarnain Baloch
Journal:  Infect Drug Resist       Date:  2018-10-10       Impact factor: 4.003

View more
  5 in total

1.  The roles of history, chance, and natural selection in the evolution of antibiotic resistance.

Authors:  Alfonso Santos-Lopez; Christopher W Marshall; Allison L Haas; Caroline Turner; Javier Rasero; Vaughn S Cooper
Journal:  Elife       Date:  2021-08-25       Impact factor: 8.140

2.  Extensively Drug-Resistant Klebsiella pneumoniae Counteracts Fitness and Virulence Costs That Accompanied Ceftazidime-Avibactam Resistance Acquisition.

Authors:  Elias Eger; Michael Schwabe; Lukas Schulig; Nils-Olaf Hübner; Jürgen A Bohnert; Uwe T Bornscheuer; Stefan E Heiden; Justus U Müller; Fazal Adnan; Karsten Becker; Carlos L Correa-Martinez; Sebastian Guenther; Evgeny A Idelevich; Daniel Baecker; Katharina Schaufler
Journal:  Microbiol Spectr       Date:  2022-04-18

3.  Evolution of Habitat-Dependent Antibiotic Resistance in Pseudomonas aeruginosa.

Authors:  Pablo Laborda; José Luis Martínez; Sara Hernando-Amado
Journal:  Microbiol Spectr       Date:  2022-06-29

4.  Artificial selection methods from evolutionary computing show promise for directed evolution of microbes.

Authors:  Alexander Lalejini; Emily Dolson; Anya E Vostinar; Luis Zaman
Journal:  Elife       Date:  2022-08-02       Impact factor: 8.713

5.  Evolutionary History and Strength of Selection Determine the Rate of Antibiotic Resistance Adaptation.

Authors:  Sandra Cisneros-Mayoral; Lucía Graña-Miraglia; Deyanira Pérez-Morales; Rafael Peña-Miller; Ayari Fuentes-Hernández
Journal:  Mol Biol Evol       Date:  2022-09-01       Impact factor: 8.800

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.