Discovery and characterisation of new phage targeting uropathogenic Escherichia coli.

Antibiotic resistance Antimicrobial resistance Phage cocktail Phage therapy Tail fiber Tail spike Urinary tract infection

Journal

Virology
ISSN: 1096-0341
Titre abrégé: Virology
Pays: United States
ID NLM: 0110674

Informations de publication

Date de publication:
20 Jun 2024
Historique:
received: 31 01 2024
revised: 02 06 2024
accepted: 18 06 2024
medline: 29 6 2024
pubmed: 29 6 2024
entrez: 28 6 2024
Statut: aheadofprint

Résumé

Antimicrobial resistance is an escalating threat with few new therapeutic options in the pipeline. Urinary tract infections (UTIs) are one of the most prevalent bacterial infections globally and are prone to becoming recurrent and antibiotic resistant. We discovered and characterized six novel Autographiviridae and Guernseyvirinae bacterial viruses (phage) against uropathogenic Escherichia coli (UPEC), a leading cause of UTIs. The phage genomes were between 39,471 bp - 45,233 bp, with 45.0%-51.0% GC%, and 57-84 predicted coding sequences per genome. We show that tail fiber domain structure, predicted host capsule type, and host antiphage repertoire correlate with phage host range. In vitro characterisation of phage cocktails showed synergistic improvement against a mixed UPEC strain population and when sequentially dosed. Together, these phage are a new set extending available treatments for UTI from UPEC, and phage vM_EcoM_SHAK9454 represents a promising candidate for further improvement through engineering.

Identifiants

pubmed: 38941748
pii: S0042-6822(24)00169-7
doi: 10.1016/j.virol.2024.110148
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110148

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Shahla Asgharzadeh Kangachar (S)

Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.

Dominic Y Logel (DY)

School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia; ARC Centre of Excellence in Synthetic Biology, Macquarie University, Sydney, Australia.

Ellina Trofimova (E)

School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia; ARC Centre of Excellence in Synthetic Biology, Macquarie University, Sydney, Australia.

Hannah X Zhu (HX)

School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia; ARC Centre of Excellence in Synthetic Biology, Macquarie University, Sydney, Australia.

Julian Zaugg (J)

Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.

Mark A Schembri (MA)

Institute for Molecular Bioscience (IMB), University of Queensland, Brisbane, Queensland, Australia; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.

Karen D Weynberg (KD)

Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.

Paul R Jaschke (PR)

School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia; ARC Centre of Excellence in Synthetic Biology, Macquarie University, Sydney, Australia. Electronic address: paul.jaschke@mq.edu.au.

Classifications MeSH