Evolutionary highways to persistent bacterial infection

Jennifer A Bartell, Lea M Sommer, Janus A J Haagensen, Anne Loch, Rocio Espinosa, Søren Molin, Helle Krogh Johansen

26 Citations (Scopus)

Abstract

Persistent infections require bacteria to evolve from their naïve colonization state by optimizing fitness in the host via simultaneous adaptation of multiple traits, which can obscure evolutionary trends and complicate infection management. Accordingly, here we screen 8 infection-relevant phenotypes of 443 longitudinal Pseudomonas aeruginosa isolates from 39 young cystic fibrosis patients over 10 years. Using statistical modeling, we map evolutionary trajectories and identify trait correlations accounting for patient-specific influences. By integrating previous genetic analyses of 474 isolates, we provide a window into early adaptation to the host, finding: (1) a 2-3 year timeline of rapid adaptation after colonization, (2) variant "naïve" and "adapted" states reflecting discordance between phenotypic and genetic adaptation, (3) adaptive trajectories leading to persistent infection via three distinct evolutionary modes, and (4) new associations between phenotypes and pathoadaptive mutations. Ultimately, we effectively deconvolute complex trait adaptation, offering a framework for evolutionary studies and precision medicine in clinical microbiology.

Original languageEnglish
Article number629
JournalNature Communications
Volume10
Issue number1
Number of pages13
ISSN2041-1723
DOIs
Publication statusPublished - 1 Dec 2019

Keywords

  • Biological Evolution
  • Cystic Fibrosis/microbiology
  • Humans
  • Models, Statistical
  • Mutation/genetics
  • Pseudomonas Infections/genetics
  • Pseudomonas aeruginosa/pathogenicity

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