Literature DB >> 35241808

Population size mediates the contribution of high-rate and large-benefit mutations to parallel evolution.

Martijn F Schenk1,2, Mark P Zwart3,4,5, Sungmin Hwang6,7, Philip Ruelens1, Edouard Severing1,8, Joachim Krug6, J Arjan G M de Visser9.   

Abstract

Mutations with large fitness benefits and mutations occurring at high rates may both cause parallel evolution, but their contribution is predicted to depend on population size. Moreover, high-rate and large-benefit mutations may have different long-term adaptive consequences. We show that small and 100-fold larger bacterial populations evolve resistance to a β-lactam antibiotic by using similar numbers, but different types of mutations. Small populations frequently substitute similar high-rate structural variants and loss-of-function point mutations, including the deletion of a low-activity β-lactamase, and evolve modest resistance levels. Large populations more often use low-rate, large-benefit point mutations affecting the same targets, including mutations activating the β-lactamase and other gain-of-function mutations, leading to much higher resistance levels. Our results demonstrate the separation by clonal interference of mutation classes with divergent adaptive consequences, causing a shift from high-rate to large-benefit mutations with increases in population size.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35241808     DOI: 10.1038/s41559-022-01669-3

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   19.100


  49 in total

1.  The molecular diversity of adaptive convergence.

Authors:  Olivier Tenaillon; Alejandra Rodríguez-Verdugo; Rebecca L Gaut; Pamela McDonald; Albert F Bennett; Anthony D Long; Brandon S Gaut
Journal:  Science       Date:  2012-01-27       Impact factor: 47.728

Review 2.  Beneficial mutations and the dynamics of adaptation in asexual populations.

Authors:  Paul D Sniegowski; Philip J Gerrish
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

Review 3.  The population genetics of beneficial mutations.

Authors:  H Allen Orr
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

Review 4.  Prediction of antibiotic resistance: time for a new preclinical paradigm?

Authors:  Morten O A Sommer; Christian Munck; Rasmus Vendler Toft-Kehler; Dan I Andersson
Journal:  Nat Rev Microbiol       Date:  2017-07-31       Impact factor: 60.633

Review 5.  Empirical fitness landscapes and the predictability of evolution.

Authors:  J Arjan G M de Visser; Joachim Krug
Journal:  Nat Rev Genet       Date:  2014-06-10       Impact factor: 53.242

6.  Spatiotemporal microbial evolution on antibiotic landscapes.

Authors:  Michael Baym; Tami D Lieberman; Eric D Kelsic; Remy Chait; Rotem Gross; Idan Yelin; Roy Kishony
Journal:  Science       Date:  2016-09-09       Impact factor: 47.728

7.  Predicting evolution.

Authors:  Michael Lässig; Ville Mustonen; Aleksandra M Walczak
Journal:  Nat Ecol Evol       Date:  2017-02-21       Impact factor: 15.460

Review 8.  Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance.

Authors:  Adam C Palmer; Roy Kishony
Journal:  Nat Rev Genet       Date:  2013-02-19       Impact factor: 53.242

9.  The dynamics of molecular evolution over 60,000 generations.

Authors:  Benjamin H Good; Michael J McDonald; Jeffrey E Barrick; Richard E Lenski; Michael M Desai
Journal:  Nature       Date:  2017-10-18       Impact factor: 49.962

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  3 in total

1.  Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics.

Authors:  Grace Avecilla; Julie N Chuong; Fangfei Li; Gavin Sherlock; David Gresham; Yoav Ram
Journal:  PLoS Biol       Date:  2022-05-27       Impact factor: 9.593

2.  Empirical estimates of the mutation rate for an alphabaculovirus.

Authors:  Dieke Boezen; Ghulam Ali; Manli Wang; Xi Wang; Wopke van der Werf; Just M Vlak; Mark P Zwart
Journal:  PLoS Genet       Date:  2022-06-06       Impact factor: 6.020

3.  Pre-existing chromosomal polymorphisms in pathogenic E. coli potentiate the evolution of resistance to a last-resort antibiotic.

Authors:  Pramod K Jangir; Qiue Yang; Liam P Shaw; Julio Diaz Caballero; Lois Ogunlana; Rachel Wheatley; Timothy Walsh; R Craig MacLean
Journal:  Elife       Date:  2022-08-09       Impact factor: 8.713

  3 in total

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