Research
Print page Print page
Switch language
The Capital Region of Denmark - a part of Copenhagen University Hospital
Published

Antibiotic resistance in Pseudomonas aeruginosa and adaptation to complex dynamic environments

Research output: Contribution to journalReviewResearchpeer-review

DOI

  1. Whole-genome sequencing of bloodstream Staphylococcus aureus isolates does not distinguish bacteraemia from endocarditis

    Research output: Contribution to journalJournal articleResearchpeer-review

  1. Update 2016-2018 of the Nationwide Danish Fungaemia Surveillance Study: Epidemiologic Changes in a 15-Year Perspective

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Omics-based tracking of Pseudomonas aeruginosa persistence in "eradicated" cystic fibrosis patients.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Bacterial Re-Colonization Occurs Early after Lung Transplantation in Cystic Fibrosis Patients

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Bacterial persisters in long-term infection: Emergence and fitness in a complex host environment

    Research output: Contribution to journalJournal articleResearchpeer-review

View graph of relations

Antibiotic resistance has become a serious threat to human health (WHO Antibacterial Agents in Clinical Development: an Analysis of the Antibacterial Clinical Development Pipeline, Including Tuberculosis. Geneva: World Health Organization; 2017), and the ability to predict antibiotic resistance from genome sequencing has become a focal point for the medical community. With this genocentric prediction in mind, we were intrigued about two particular findings for a collection of clinical Pseudomonas aeruginosa isolates (Marvig et al. Nature Genetics 2015;47:57-64; Frimodt-Møller et al. Scientific Reports 2018;8:12512; Bartell et al. Nature Communications 2019;10:629): (i) 15 out of 52 genes found to be frequently targeted by adaptive mutations during the initial infection stage of cystic fibrosis airways ('candidate pathoadaptive genes') (Marvig et al. Nature Genetics 2015;47:57-64) were associated with antibiotic resistance (López-Causapé et al. Fronters in Microbiology 2018;9:685; López-Causapé et al. Antimicrobal Agents and Chemotherapy 2018;62:e02583-17); (ii) there was a parallel lack of resistance development and linkage to the genetic changes in these antibiotic-resistance-associated genes (Frimodt-Møller et al. Scientific Reports 2018;8:12512; Bartell et al. Nature Communications 2019;10:629). In this review, we highlight alternative selective forces that potentially enhance the infection success of P. aeruginosa and focus on the linkage to the 15 pathoadaptive antibiotic-resistance-associated genes, thereby showing the problems we may face when using only genomic information to predict and inform about relevant antibiotic treatment.

Original languageEnglish
JournalOMICS A Journal of Integrative Biology
Volume6
Issue number5
ISSN1557-8100
DOIs
Publication statusPublished - May 2020

    Research areas

  • Pseudomonas aeruginosa, antibiotic resistance, bacterial pathogens, genomics, persistent bacterial infections, phenomics

ID: 61988850