Fast bacterial growth reduces antibiotic accumulation and efficacy

Phenotypic variations between individual microbial cells play a key role in the resistance of microbial pathogens to pharmacotherapies. Nevertheless, little is known about cell individuality in antibiotic accumulation. Here, we hypothesise that phenotypic diversification can be driven by fundamental...

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Main Authors: Urszula Łapińska, Margaritis Voliotis, Ka Kiu Lee, Adrian Campey, M Rhia L Stone, Brandon Tuck, Wanida Phetsang, Bing Zhang, Krasimira Tsaneva-Atanasova, Mark AT Blaskovich, Stefano Pagliara
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2022-06-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/74062
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author Urszula Łapińska
Margaritis Voliotis
Ka Kiu Lee
Adrian Campey
M Rhia L Stone
Brandon Tuck
Wanida Phetsang
Bing Zhang
Krasimira Tsaneva-Atanasova
Mark AT Blaskovich
Stefano Pagliara
author_facet Urszula Łapińska
Margaritis Voliotis
Ka Kiu Lee
Adrian Campey
M Rhia L Stone
Brandon Tuck
Wanida Phetsang
Bing Zhang
Krasimira Tsaneva-Atanasova
Mark AT Blaskovich
Stefano Pagliara
author_sort Urszula Łapińska
collection DOAJ
description Phenotypic variations between individual microbial cells play a key role in the resistance of microbial pathogens to pharmacotherapies. Nevertheless, little is known about cell individuality in antibiotic accumulation. Here, we hypothesise that phenotypic diversification can be driven by fundamental cell-to-cell differences in drug transport rates. To test this hypothesis, we employed microfluidics-based single-cell microscopy, libraries of fluorescent antibiotic probes and mathematical modelling. This approach allowed us to rapidly identify phenotypic variants that avoid antibiotic accumulation within populations of Escherichia coli, Pseudomonas aeruginosa, Burkholderia cenocepacia, and Staphylococcus aureus. Crucially, we found that fast growing phenotypic variants avoid macrolide accumulation and survive treatment without genetic mutations. These findings are in contrast with the current consensus that cellular dormancy and slow metabolism underlie bacterial survival to antibiotics. Our results also show that fast growing variants display significantly higher expression of ribosomal promoters before drug treatment compared to slow growing variants. Drug-free active ribosomes facilitate essential cellular processes in these fast-growing variants, including efflux that can reduce macrolide accumulation. We used this new knowledge to eradicate variants that displayed low antibiotic accumulation through the chemical manipulation of their outer membrane inspiring new avenues to overcome current antibiotic treatment failures.
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spelling doaj.art-f9443964bba24775899537b4edeb0b4a2022-12-22T03:50:53ZengeLife Sciences Publications LtdeLife2050-084X2022-06-011110.7554/eLife.74062Fast bacterial growth reduces antibiotic accumulation and efficacyUrszula Łapińska0https://orcid.org/0000-0003-3593-9248Margaritis Voliotis1https://orcid.org/0000-0001-6488-7198Ka Kiu Lee2Adrian Campey3M Rhia L Stone4Brandon Tuck5Wanida Phetsang6Bing Zhang7Krasimira Tsaneva-Atanasova8https://orcid.org/0000-0002-6294-7051Mark AT Blaskovich9Stefano Pagliara10https://orcid.org/0000-0001-9796-1956Living Systems Institute, University of Exeter, Exeter, United Kingdom; Biosciences, University of Exeter, Exeter, United KingdomLiving Systems Institute, University of Exeter, Exeter, United Kingdom; Department of Mathematics, University of Exeter, Exeter, United KingdomLiving Systems Institute, University of Exeter, Exeter, United Kingdom; Biosciences, University of Exeter, Exeter, United KingdomLiving Systems Institute, University of Exeter, Exeter, United Kingdom; Biosciences, University of Exeter, Exeter, United KingdomCentre for Superbug Solutions, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia; Department of Chemistry and Chemical Biology, Rutgers, the State University of New Jersey, Piscataway, United StatesLiving Systems Institute, University of Exeter, Exeter, United Kingdom; Biosciences, University of Exeter, Exeter, United KingdomCentre for Superbug Solutions, Institute for Molecular Bioscience, The University of Queensland, Brisbane, AustraliaCentre for Superbug Solutions, Institute for Molecular Bioscience, The University of Queensland, Brisbane, AustraliaLiving Systems Institute, University of Exeter, Exeter, United Kingdom; Department of Mathematics, University of Exeter, Exeter, United Kingdom; EPSRC Hub for Quantitative Modelling in Healthcare, University of Exeter, Exeter, United Kingdom; Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, BulgariaCentre for Superbug Solutions, Institute for Molecular Bioscience, The University of Queensland, Brisbane, AustraliaLiving Systems Institute, University of Exeter, Exeter, United Kingdom; Biosciences, University of Exeter, Exeter, United KingdomPhenotypic variations between individual microbial cells play a key role in the resistance of microbial pathogens to pharmacotherapies. Nevertheless, little is known about cell individuality in antibiotic accumulation. Here, we hypothesise that phenotypic diversification can be driven by fundamental cell-to-cell differences in drug transport rates. To test this hypothesis, we employed microfluidics-based single-cell microscopy, libraries of fluorescent antibiotic probes and mathematical modelling. This approach allowed us to rapidly identify phenotypic variants that avoid antibiotic accumulation within populations of Escherichia coli, Pseudomonas aeruginosa, Burkholderia cenocepacia, and Staphylococcus aureus. Crucially, we found that fast growing phenotypic variants avoid macrolide accumulation and survive treatment without genetic mutations. These findings are in contrast with the current consensus that cellular dormancy and slow metabolism underlie bacterial survival to antibiotics. Our results also show that fast growing variants display significantly higher expression of ribosomal promoters before drug treatment compared to slow growing variants. Drug-free active ribosomes facilitate essential cellular processes in these fast-growing variants, including efflux that can reduce macrolide accumulation. We used this new knowledge to eradicate variants that displayed low antibiotic accumulation through the chemical manipulation of their outer membrane inspiring new avenues to overcome current antibiotic treatment failures.https://elifesciences.org/articles/74062membrane transportantibioticssingle-cell analysisantibiotic resistancephenotypic heterogeneityantibiotic uptake
spellingShingle Urszula Łapińska
Margaritis Voliotis
Ka Kiu Lee
Adrian Campey
M Rhia L Stone
Brandon Tuck
Wanida Phetsang
Bing Zhang
Krasimira Tsaneva-Atanasova
Mark AT Blaskovich
Stefano Pagliara
Fast bacterial growth reduces antibiotic accumulation and efficacy
eLife
membrane transport
antibiotics
single-cell analysis
antibiotic resistance
phenotypic heterogeneity
antibiotic uptake
title Fast bacterial growth reduces antibiotic accumulation and efficacy
title_full Fast bacterial growth reduces antibiotic accumulation and efficacy
title_fullStr Fast bacterial growth reduces antibiotic accumulation and efficacy
title_full_unstemmed Fast bacterial growth reduces antibiotic accumulation and efficacy
title_short Fast bacterial growth reduces antibiotic accumulation and efficacy
title_sort fast bacterial growth reduces antibiotic accumulation and efficacy
topic membrane transport
antibiotics
single-cell analysis
antibiotic resistance
phenotypic heterogeneity
antibiotic uptake
url https://elifesciences.org/articles/74062
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AT margaritisvoliotis fastbacterialgrowthreducesantibioticaccumulationandefficacy
AT kakiulee fastbacterialgrowthreducesantibioticaccumulationandefficacy
AT adriancampey fastbacterialgrowthreducesantibioticaccumulationandefficacy
AT mrhialstone fastbacterialgrowthreducesantibioticaccumulationandefficacy
AT brandontuck fastbacterialgrowthreducesantibioticaccumulationandefficacy
AT wanidaphetsang fastbacterialgrowthreducesantibioticaccumulationandefficacy
AT bingzhang fastbacterialgrowthreducesantibioticaccumulationandefficacy
AT krasimiratsanevaatanasova fastbacterialgrowthreducesantibioticaccumulationandefficacy
AT markatblaskovich fastbacterialgrowthreducesantibioticaccumulationandefficacy
AT stefanopagliara fastbacterialgrowthreducesantibioticaccumulationandefficacy