Literature DB >> 35670099

Fast bacterial growth reduces antibiotic accumulation and efficacy.

Urszula Łapińska1,2, Margaritis Voliotis1,3, Ka Kiu Lee1,2, Adrian Campey1,2, M Rhia L Stone4,5, Brandon Tuck1,2, Wanida Phetsang4, Bing Zhang4, Krasimira Tsaneva-Atanasova1,3,6,7, Mark A T Blaskovich4, Stefano Pagliara1,2.   

Abstract

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.
© 2022, Łapińska et al.

Entities:  

Keywords:  antibiotic resistance; antibiotic uptake; antibiotics; burkholderia cenocepacia; efflux; escherichia coli; infectious disease; membrane transport; microbiology; microfluidics; phenotypic heterogeneity; physics of living systems; pseudomonas aeruginosa; single-cell analysis; staphylococcus aureus

Mesh:

Substances:

Year:  2022        PMID: 35670099      PMCID: PMC9173744          DOI: 10.7554/eLife.74062

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.713


  109 in total

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Review 3.  The role of physiological heterogeneity in microbial population behavior.

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5.  Dormancy is not necessary or sufficient for bacterial persistence.

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Review 6.  Fluorescent Antibiotics: New Research Tools to Fight Antibiotic Resistance.

Authors:  M Rhia L Stone; Mark S Butler; Wanida Phetsang; Matthew A Cooper; Mark A T Blaskovich
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7.  Enhanced Efflux Activity Facilitates Drug Tolerance in Dormant Bacterial Cells.

Authors:  Yingying Pu; Zhilun Zhao; Yingxing Li; Jin Zou; Qi Ma; Yanna Zhao; Yuehua Ke; Yun Zhu; Huiyi Chen; Matthew A B Baker; Hao Ge; Yujie Sun; Xiaoliang Sunney Xie; Fan Bai
Journal:  Mol Cell       Date:  2016-04-21       Impact factor: 17.970

Review 8.  Strategies for combating bacterial biofilm infections.

Authors:  Hong Wu; Claus Moser; Heng-Zhuang Wang; Niels Høiby; Zhi-Jun Song
Journal:  Int J Oral Sci       Date:  2015-03-23       Impact factor: 6.344

9.  MMHelper: An automated framework for the analysis of microscopy images acquired with the mother machine.

Authors:  Ashley Smith; Jeremy Metz; Stefano Pagliara
Journal:  Sci Rep       Date:  2019-07-12       Impact factor: 4.379

10.  Growth resumption from stationary phase reveals memory in Escherichia coli cultures.

Authors:  Arvi Jõers; Tanel Tenson
Journal:  Sci Rep       Date:  2016-04-06       Impact factor: 4.379

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