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Predictable Phenotypes of Antibiotic Resistance Mutations
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.ORCID iD: 0000-0002-8218-3263
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.ORCID iD: 0000-0001-6640-2174
2018 (English)In: mBio, ISSN 2161-2129, E-ISSN 2150-7511, Vol. 9, no 3, article id e00770-18Article in journal (Refereed) Published
Abstract [en]

The spread of antibiotic-resistant bacteria imposes an urgent threat to public health. The ability to forecast the evolutionary success of resistant mutants would help to combat dissemination of antibiotic resistance. Previous studies have shown that the phenotypic effects (fitness and resistance level) of resistance mutations can vary substantially depending on the genetic context in which they occur. We conducted a broad screen using many different resistance mutations and host strains to identify potential epistatic interactions between various types of resistance mutations and to determine the effect of strain background on resistance phenotypes. Combinations of several different mutations showed a large amount of phenotypic predictability, and the majority of the mutations displayed strain-independent phenotypes. However, we also identified a few outliers from these patterns, illustrating that the choice of host organism can be critically important when studying antibiotic resistance mutations.

Place, publisher, year, edition, pages
2018. Vol. 9, no 3, article id e00770-18
Keywords [en]
Escherichia coli, Salmonella, Strain specificity, antibiotic resistance, epistasis, fitness
National Category
Microbiology
Identifiers
URN: urn:nbn:se:uu:diva-353492DOI: 10.1128/mBio.00770-18PubMedID: 29764951OAI: oai:DiVA.org:uu-353492DiVA, id: diva2:1217546
Available from: 2018-06-13 Created: 2018-06-13 Last updated: 2018-06-30Bibliographically approved
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Knopp, MichaelAndersson, Dan I

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