Genomic rearrangements uncovered by genome-wide co-evolution analysis of a major nosocomial pathogen, Enterococcus faecium

Author:

Top Janetta1ORCID,Arredondo-Alonso Sergio1ORCID,Schürch Anita C.1ORCID,Puranen Santeri23ORCID,Pesonen Maiju243ORCID,Pensar Johan52ORCID,Willems Rob J. L.1ORCID,Corander Jukka672ORCID

Affiliation:

1. Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands

2. Department of Mathematics and Statistics, Helsinki Institute of Information Technology (HIIT), FI-00014 University of Helsinki, Finland

3. Department of Computer Science, Aalto University, FI-00076 Espoo, Finland

4. Present address: Oslo Centre for Biostatistics and Epidemiology (OCBE), Oslo University Hospital Research Support Services, Oslo, Norway

5. Present address: Department of Mathematics, University of Oslo, 0316 Oslo, Norway

6. Department of Biostatistics, University of Oslo, 0317 Oslo, Norway

7. Pathogen Genomics, Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK

Abstract

Enterococcus faecium is a gut commensal of the gastro-digestive tract, but also known as nosocomial pathogen among hospitalized patients. Population genetics based on whole-genome sequencing has revealed that E. faecium strains from hospitalized patients form a distinct clade, designated clade A1, and that plasmids are major contributors to the emergence of nosocomial E. faecium . Here we further explored the adaptive evolution of E. faecium using a genome-wide co-evolution study (GWES) to identify co-evolving single-nucleotide polymorphisms (SNPs). We identified three genomic regions harbouring large numbers of SNPs in tight linkage that are not proximal to each other based on the completely assembled chromosome of the clade A1 reference hospital isolate AUS0004. Close examination of these regions revealed that they are located at the borders of four different types of large-scale genomic rearrangements, insertion sites of two different genomic islands and an IS30-like transposon. In non-clade A1 isolates, these regions are adjacent to each other and they lack the insertions of the genomic islands and IS30-like transposon. Additionally, among the clade A1 isolates there is one group of pet isolates lacking the genomic rearrangement and insertion of the genomic islands, suggesting a distinct evolutionary trajectory. In silico analysis of the biological functions of the genes encoded in three regions revealed a common link to a stress response. This suggests that these rearrangements may reflect adaptation to the stringent conditions in the hospital environment, such as antibiotics and detergents, to which bacteria are exposed. In conclusion, to our knowledge, this is the first study using GWES to identify genomic rearrangements, suggesting that there is considerable untapped potential to unravel hidden evolutionary signals from population genomic data.

Funder

Joint Programming Initiative on Antimicrobial Resistance

Publisher

Microbiology Society

Subject

General Medicine

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