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2018-09-10Zeitschriftenartikel
Fluorescence-Based Detection of Natural Transformation in Drug-Resistant Acinetobacter baumannii
dc.contributor.authorGodeux, Anne-Sopthie
dc.contributor.authorLupo, Agnese
dc.contributor.authorHaenni, Marisa
dc.contributor.authorGuette-Marquet, Simon
dc.contributor.authorWilharm, Gottfried
dc.contributor.authorLaaberki, Maria-Halima
dc.contributor.authorCharpentier, Xavier
dc.date.accessioned2026-08-20T12:39:40Z
dc.date.available2026-08-20T12:39:40Z
dc.date.issued2018-09-10none
dc.identifier.other10.1128/JB.00181-18
dc.identifier.urihttp://edoc.rki.de/176904/13851
dc.description.abstractAcinetobacter baumannii is a nosocomial agent with a high propensity for developing resistance to antibiotics. This ability relies on horizontal gene transfer mechanisms occurring in the Acinetobacter genus, including natural transformation. To study natural transformation in bacteria, the most prevalent method uses selection for the acquisition of an antibiotic resistance marker in a target chromosomal locus by the recipient cell. Most clinical isolates of A. baumannii are resistant to multiple antibiotics, limiting the use of such selection-based methods. Here, we report the development of a phenotypic and selection-free method based on flow cytometry to detect transformation events in multidrug-resistant (MDR) clinical A. baumannii isolates. To this end, we engineered a translational fusion between the abundant and conserved A. baumannii nucleoprotein (HU) and the superfolder green fluorescent protein (sfGFP). The new method was benchmarked against the conventional antibiotic selection-based method. Using this new method, we investigated several parameters affecting transformation efficiencies and identified conditions of transformability one hundred times higher than those previously reported. Using optimized transformation conditions, we probed natural transformation in a set of MDR clinical and nonclinical animal A. baumannii isolates. Regardless of their origin, the majority of the isolates displayed natural transformability, indicative of a conserved trait in the species. Overall, this new method and optimized protocol will greatly facilitate the study of natural transformation in the opportunistic pathogen A. baumannii. IMPORTANCE Antibiotic resistance is a pressing global health concern with the rise of multiple and panresistant pathogens. The rapid and unfailing resistance to multiple antibiotics of the nosocomial agent Acinetobacter baumannii, notably to carbapenems, prompt to understand the mechanisms behind acquisition of new antibiotic resistance genes. Natural transformation, one of the horizontal gene transfer mechanisms in bacteria, was only recently described in A. baumannii and could explain its ability to acquire resistance genes. We developed a reliable method to probe and study natural transformation mechanism in A. baumannii. More broadly, this new method based on flow cytometry will allow experimental detection and quantification of horizontal gene transfer events in multidrug-resistant A. baumannii.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleFluorescence-Based Detection of Natural Transformation in Drug-Resistant Acinetobacter baumanniinone
dc.typearticle
dc.identifier.urnurn:nbn:de:0257-176904/13851-2
dc.type.versionpublishedVersionnone
local.edoc.container-titleJournal of Bacteriologynone
local.edoc.container-issn1098-5530none
local.edoc.pages14none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttps://journals.asm.org/journal/jbnone
local.edoc.container-publisher-nameAmerican Society for Microbiologynone
local.edoc.container-volume200none
local.edoc.container-issue19none
local.edoc.container-reportyear2018none
dc.description.versionPeer Reviewednone

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