Gene Loss and Acquisition in Lineages of Pseudomonas aeruginosa Evolving in Cystic Fibrosis Patient Airways

Migle Gabrielaite*, Helle K. Johansen, Søren Molin, Finn C. Nielsen, Rasmus L. Marvig

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Genome analyses have documented that there are differences in generepertoire between evolutionary distant lineages of the same bacterial species; however, less is known about microevolutionary dynamics of gene loss and acquisition within bacterial lineages as they evolve over years. Here, we analyzed the genomes of 45 Pseudomonas aeruginosa lineages evolving in the lungs of cystic fibrosis (CF) patients to identify genes that are lost or acquired during the first years of infection. On average, lineage genome content changed by 88 genes (range, 0 to 473). Genes were more often lost than acquired, and prophage genes were more variable than bacterial genes. We identified convergent loss or acquisition of the same genes across lineages, suggesting selection for loss and acquisition of certain genes in the host environment. We found that a notable proportion of such genes are associated with virulence; a trait previously shown to be important for adaptation. Furthermore, we also compared the genomes across lineages to show that the within-lineage variable genes (i.e., genes that had been lost or acquired during the infection) often belonged to genomic content not shared across all lineages. In sum, our analysis adds to the knowledge on the pace and drivers of gene loss and acquisition in bacteria evolving over years in a human host environment and provides a basis to further understand how gene loss and acquisition play roles in lineage differentiation and host adaptation.
Original languageEnglish
Article numbere02359-20
JournalmBio
Volume11
Issue number5
Number of pages16
ISSN2150-7511
DOIs
Publication statusPublished - 2020

Keywords

  • Pseudomonas aeruginosa,
  • Computational biology
  • Evolution
  • Genomics
  • Host-pathogen interactions

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