Literature DB >> 31740490

Highly Contingent Phenotypes of Lon Protease Deficiency in Escherichia coli upon Antibiotic Challenge.

Nishad Matange1.   

Abstract

Evolutionary trajectories and mutational landscapes of drug-resistant bacteria are influenced by cell-intrinsic and extrinsic factors. In this study, I demonstrated that loss of the Lon protease altered susceptibility of Escherichia coli to trimethoprim and that these effects were strongly contingent on the drug concentration and genetic background. Lon, an AAA+ ATPase, is a bacterial master regulator protease involved in cytokinesis, suppression of transposition events, and clearance of misfolded proteins. I show that Lon deficiency enhances intrinsic drug tolerance at sub-MIC levels of trimethoprim. As a result, loss of Lon, though disadvantageous under drug-free conditions, has a selective advantage at low concentrations of trimethoprim. At high drug concentrations, however, Lon deficiency is detrimental for E. coli I show that the former is explained by suppression of drug efflux by Lon, while the latter can be attributed to SulA-dependent hyperfilamentation. On the other hand, deletion of lon in a trimethoprim-resistant mutant E. coli strain (harboring the Trp30Gly dihydrofolate reductase [DHFR] allele) directly potentiates resistance by enhancing the in vivo stability of mutant DHFR. Using extensive mutational analysis at 3 hot spots of resistance, I show that many resistance-conferring mutations render DHFR prone to proteolysis. This trade-off between gaining resistance and losing in vivo stability limits the number of mutations in DHFR that can confer trimethoprim resistance. Loss of Lon expands the mutational capacity for acquisition of trimethoprim resistance. This paper identifies the multipronged action of Lon in trimethoprim resistance in E. coli and provides mechanistic insight into how genetic backgrounds and drug concentrations may alter the potential for antimicrobial resistance evolution.IMPORTANCE Understanding the evolutionary dynamics of antimicrobial resistance is vital to curb its emergence and spread. Being fundamentally similar to natural selection, the fitness of resistant mutants is a key parameter to consider in the evolutionary dynamics of antimicrobial resistance (AMR). Various intrinsic and extrinsic factors modulate the fitness of resistant bacteria. This study demonstrated that Lon, a bacterial master regulator protease, influences drug tolerance and resistance. Lon is a key regulator of several fundamental processes in bacteria, including cytokinesis. I demonstrated that Lon deficiency produces highly contingent phenotypes in E. coli challenged with trimethoprim and can expand the mutational repertoire available to E. coli to evolve resistance. This multipronged influence of Lon on drug resistance provides an illustrative instance of how master regulators shape the response of bacteria to antibiotics.
Copyright © 2020 American Society for Microbiology.

Entities:  

Keywords:  DHFR; Lon protease; antimicrobial resistance; dihydrofolate reductase; drug tolerance; mutational potential; protein stability; trimethoprim

Year:  2020        PMID: 31740490     DOI: 10.1128/JB.00561-19

Source DB:  PubMed          Journal:  J Bacteriol        ISSN: 0021-9193            Impact factor:   3.490


  4 in total

1.  Low Cytoplasmic Magnesium Increases the Specificity of the Lon and ClpAP Proteases.

Authors:  Jinki Yeom; Eduardo A Groisman
Journal:  J Bacteriol       Date:  2021-06-22       Impact factor: 3.490

2.  lon Deletion Impairs Persister Cell Resuscitation in Escherichia coli.

Authors:  Sayed Golam Mohiuddin; Aslan Massahi; Mehmet A Orman
Journal:  mBio       Date:  2022-01-18       Impact factor: 7.867

3.  Cryo-EM structure of the full-length Lon protease from Thermus thermophilus.

Authors:  Francesca Coscia; Jan Löwe
Journal:  FEBS Lett       Date:  2021-10-18       Impact factor: 3.864

4.  Evolutionary History and Strength of Selection Determine the Rate of Antibiotic Resistance Adaptation.

Authors:  Sandra Cisneros-Mayoral; Lucía Graña-Miraglia; Deyanira Pérez-Morales; Rafael Peña-Miller; Ayari Fuentes-Hernández
Journal:  Mol Biol Evol       Date:  2022-09-01       Impact factor: 8.800

  4 in total

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