Antibiotic resistance in Pseudomonas aeruginosa and adaptation to complex dynamic environments.
Microb Genom
; 6(5)2020 05.
Article
em En
| MEDLINE
| ID: mdl-32375975
ABSTRACT
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;4757-64; Frimodt-Møller et al. Scientific Reports 2018;812512; Bartell et al. Nature Communications 2019;10629) (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;4757-64) were associated with antibiotic resistance (López-Causapé et al. Fronters in Microbiology 2018;9685; López-Causapé et al. Antimicrobal Agents and Chemotherapy 2018;62e02583-17); (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;812512; Bartell et al. Nature Communications 2019;10629). 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.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Pseudomonas aeruginosa
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Infecções por Pseudomonas
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Fibrose Cística
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Farmacorresistência Bacteriana Múltipla
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article