Literature DB >> 35618819

Polymicrobial infections can select against Pseudomonas aeruginosa mutators because of quorum-sensing trade-offs.

Adela M Luján1,2,3,4, Steve Paterson5, Elze Hesse6, Lea M Sommer7, Rasmus L Marvig7,8, M D Sharma6, Ellinor O Alseth6, Oana Ciofu9, Andrea M Smania10,11, Søren Molin7, Helle Krogh Johansen7,12,13, Angus Buckling6.   

Abstract

Bacteria with increased mutation rates (mutators) are common in chronic infections and are associated with poorer clinical outcomes, especially in the case of Pseudomonas aeruginosa infecting cystic fibrosis (CF) patients. There is, however, considerable between-patient variation in both P. aeruginosa mutator frequency and the composition of co-infecting pathogen communities. We investigated whether community context might affect selection of mutators. Using an in vitro CF model community, we show that P. aeruginosa mutators were favoured in the absence of other species but not in their presence. This was because there were trade-offs between adaptation to the biotic and abiotic environments (for example, loss of quorum sensing and associated toxin production was beneficial in the latter but not the former in our in vitro model community) limiting the evolvability advantage of an elevated mutation rate. Consistent with a role of co-infecting pathogens selecting against P. aeruginosa mutators in vivo, we show that the mutation frequency of P. aeruginosa population was negatively correlated with the frequency and diversity of co-infecting bacteria in CF infections. Our results suggest that co-infecting taxa can select against P. aeruginosa mutators, which may have potentially beneficial clinical consequences.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Mesh:

Year:  2022        PMID: 35618819     DOI: 10.1038/s41559-022-01768-1

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


  52 in total

1.  Mutators and sex in bacteria: conflict between adaptive strategies.

Authors:  O Tenaillon; H Le Nagard; B Godelle; F Taddei
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-12       Impact factor: 11.205

2.  Coevolution with viruses drives the evolution of bacterial mutation rates.

Authors:  Csaba Pal; María D Maciá; Antonio Oliver; Ira Schachar; Angus Buckling
Journal:  Nature       Date:  2007-12-02       Impact factor: 49.962

3.  Biodiversity inhibits species' evolutionary responses to changing environments.

Authors:  C de Mazancourt; E Johnson; T G Barraclough
Journal:  Ecol Lett       Date:  2008-01-31       Impact factor: 9.492

Review 4.  Sexual reproduction as an adaptation to resist parasites (a review).

Authors:  W D Hamilton; R Axelrod; R Tanese
Journal:  Proc Natl Acad Sci U S A       Date:  1990-05       Impact factor: 11.205

5.  Role of mutator alleles in adaptive evolution.

Authors:  F Taddei; M Radman; J Maynard-Smith; B Toupance; P H Gouyon; B Godelle
Journal:  Nature       Date:  1997-06-12       Impact factor: 49.962

6.  COEVOLUTION IN ECOSYSTEMS: RED QUEEN EVOLUTION OR STASIS?

Authors:  Nils Chr Stenseth; J Maynard Smith
Journal:  Evolution       Date:  1984-07       Impact factor: 3.694

7.  Running with the Red Queen: host-parasite coevolution selects for biparental sex.

Authors:  Levi T Morran; Olivia G Schmidt; Ian A Gelarden; Raymond C Parrish; Curtis M Lively
Journal:  Science       Date:  2011-07-08       Impact factor: 47.728

8.  Mutation rate dynamics in a bacterial population reflect tension between adaptation and genetic load.

Authors:  Sébastien Wielgoss; Jeffrey E Barrick; Olivier Tenaillon; Michael J Wiser; W James Dittmar; Stéphane Cruveiller; Béatrice Chane-Woon-Ming; Claudine Médigue; Richard E Lenski; Dominique Schneider
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-17       Impact factor: 11.205

9.  High mutation frequencies among Escherichia coli and Salmonella pathogens.

Authors:  J E LeClerc; B Li; W L Payne; T A Cebula
Journal:  Science       Date:  1996-11-15       Impact factor: 47.728

10.  Sign of selection on mutation rate modifiers depends on population size.

Authors:  Yevgeniy Raynes; C Scott Wylie; Paul D Sniegowski; Daniel M Weinreich
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-12       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.