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A Microfluidic Chip for Studies of the Dynamics of Antibiotic Resistance Selection in Bacterial Biofilms

Biofilms are arguably the most important mode of growth of bacteria, but how antibiotic resistance emerges and is selected in biofilms remains poorly understood. Several models to study evolution of antibiotic resistance have been developed, however, their usability varies depending on the nature of...

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Autores principales: Tang, Po-Cheng, Eriksson, Olle, Sjögren, Josefin, Fatsis-Kavalopoulos, Nikos, Kreuger, Johan, Andersson, Dan I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128571/
https://www.ncbi.nlm.nih.gov/pubmed/35619647
http://dx.doi.org/10.3389/fcimb.2022.896149
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author Tang, Po-Cheng
Eriksson, Olle
Sjögren, Josefin
Fatsis-Kavalopoulos, Nikos
Kreuger, Johan
Andersson, Dan I.
author_facet Tang, Po-Cheng
Eriksson, Olle
Sjögren, Josefin
Fatsis-Kavalopoulos, Nikos
Kreuger, Johan
Andersson, Dan I.
author_sort Tang, Po-Cheng
collection PubMed
description Biofilms are arguably the most important mode of growth of bacteria, but how antibiotic resistance emerges and is selected in biofilms remains poorly understood. Several models to study evolution of antibiotic resistance have been developed, however, their usability varies depending on the nature of the biological question. Here, we developed and validated a microfluidic chip (Brimor) for studying the dynamics of enrichment of antibiotic-resistant bacteria in biofilms using real-time monitoring with confocal microscopy. In situ extracellular cellulose staining and physical disruption of the biomass confirmed Escherichia coli growth as biofilms in the chip. We showed that seven generations of growth occur in 16 h when biofilms were established in the growth chambers of Brimor, and that bacterial death and growth rates could be estimated under these conditions using a plasmid with a conditional replication origin. Additionally, competition experiments between antibiotic-susceptible and -resistant bacteria at sub-inhibitory concentrations demonstrated that the antibiotic ciprofloxacin selected for antibiotic resistance in bacterial biofilms at concentrations 17-fold below the minimal inhibitory concentration of susceptible planktonic bacteria. Overall, the microfluidic chip is easy to use and a relevant model for studying the dynamics of selection of antibiotic resistance in bacterial biofilms and we anticipate that the Brimor chip will facilitate basic research in this area.
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spelling pubmed-91285712022-05-25 A Microfluidic Chip for Studies of the Dynamics of Antibiotic Resistance Selection in Bacterial Biofilms Tang, Po-Cheng Eriksson, Olle Sjögren, Josefin Fatsis-Kavalopoulos, Nikos Kreuger, Johan Andersson, Dan I. Front Cell Infect Microbiol Cellular and Infection Microbiology Biofilms are arguably the most important mode of growth of bacteria, but how antibiotic resistance emerges and is selected in biofilms remains poorly understood. Several models to study evolution of antibiotic resistance have been developed, however, their usability varies depending on the nature of the biological question. Here, we developed and validated a microfluidic chip (Brimor) for studying the dynamics of enrichment of antibiotic-resistant bacteria in biofilms using real-time monitoring with confocal microscopy. In situ extracellular cellulose staining and physical disruption of the biomass confirmed Escherichia coli growth as biofilms in the chip. We showed that seven generations of growth occur in 16 h when biofilms were established in the growth chambers of Brimor, and that bacterial death and growth rates could be estimated under these conditions using a plasmid with a conditional replication origin. Additionally, competition experiments between antibiotic-susceptible and -resistant bacteria at sub-inhibitory concentrations demonstrated that the antibiotic ciprofloxacin selected for antibiotic resistance in bacterial biofilms at concentrations 17-fold below the minimal inhibitory concentration of susceptible planktonic bacteria. Overall, the microfluidic chip is easy to use and a relevant model for studying the dynamics of selection of antibiotic resistance in bacterial biofilms and we anticipate that the Brimor chip will facilitate basic research in this area. Frontiers Media S.A. 2022-05-10 /pmc/articles/PMC9128571/ /pubmed/35619647 http://dx.doi.org/10.3389/fcimb.2022.896149 Text en Copyright © 2022 Tang, Eriksson, Sjögren, Fatsis-Kavalopoulos, Kreuger and Andersson https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Tang, Po-Cheng
Eriksson, Olle
Sjögren, Josefin
Fatsis-Kavalopoulos, Nikos
Kreuger, Johan
Andersson, Dan I.
A Microfluidic Chip for Studies of the Dynamics of Antibiotic Resistance Selection in Bacterial Biofilms
title A Microfluidic Chip for Studies of the Dynamics of Antibiotic Resistance Selection in Bacterial Biofilms
title_full A Microfluidic Chip for Studies of the Dynamics of Antibiotic Resistance Selection in Bacterial Biofilms
title_fullStr A Microfluidic Chip for Studies of the Dynamics of Antibiotic Resistance Selection in Bacterial Biofilms
title_full_unstemmed A Microfluidic Chip for Studies of the Dynamics of Antibiotic Resistance Selection in Bacterial Biofilms
title_short A Microfluidic Chip for Studies of the Dynamics of Antibiotic Resistance Selection in Bacterial Biofilms
title_sort microfluidic chip for studies of the dynamics of antibiotic resistance selection in bacterial biofilms
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128571/
https://www.ncbi.nlm.nih.gov/pubmed/35619647
http://dx.doi.org/10.3389/fcimb.2022.896149
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