Harnessing bacterial interactions to manage infections: a review on the opportunistic pathogen Pseudomonas aeruginosa as a case example
| Autor: | Elisa T. Granato, Rolf Kümmerli, Chiara Rezzoagli |
|---|---|
| Přispěvatelé: | University of Zurich, Rezzoagli, Chiara |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Microbiology (medical) Genetics Pseudomonas aeruginosa Ecology (disciplines) 030106 microbiology 2404 Microbiology Virulence Human pathogen Context (language use) 610 Medicine & health General Medicine Biology medicine.disease_cause Microbiology 2726 Microbiology (medical) 03 medical and health sciences 030104 developmental biology medicine Evolutionary ecology Evolutionary dynamics Pathogen 11493 Department of Quantitative Biomedicine |
| Zdroj: | Journal of Medical Microbiology |
| DOI: | 10.5167/uzh-194230 |
| Popis: | During infections, bacterial pathogens can engage in a variety of interactions with each other, ranging from the cooperative sharing of resources to deadly warfare. This is especially relevant in opportunistic infections, where different strains and species often co-infect the same patient and interact in the host. Here, we review the relevance of these social interactions during opportunistic infections using the human pathogen Pseudomonas aeruginosa as a case example. In particular, we discuss different types of pathogen-pathogen interactions, involving both cooperation and competition, and elaborate on how they impact virulence in multi-strain and multi-species infections. We then review evolutionary dynamics within pathogen populations during chronic infections. We particuarly discuss how local adaptation through niche separation, evolutionary successions and antagonistic co-evolution between pathogens can alter virulence and the damage inflicted on the host. Finally, we outline how studying bacterial social dynamics could be used to manage infections. We show that a deeper appreciation of bacterial evolution and ecology in the clinical context is important for understanding microbial infections and can inspire novel treatment strategies. |
| Databáze: | OpenAIRE |
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