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Computational Prediction of Bacteriophage Host Ranges

Authors :
Cyril J. Versoza
Susanne P. Pfeifer
Source :
Microorganisms, Vol 10, Iss 1, p 149 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Increased antibiotic resistance has prompted the development of bacteriophage agents for a multitude of applications in agriculture, biotechnology, and medicine. A key factor in the choice of agents for these applications is the host range of a bacteriophage, i.e., the bacterial genera, species, and strains a bacteriophage is able to infect. Although experimental explorations of host ranges remain the gold standard, such investigations are inherently limited to a small number of viruses and bacteria amendable to cultivation. Here, we review recently developed bioinformatic tools that offer a promising and high-throughput alternative by computationally predicting the putative host ranges of bacteriophages, including those challenging to grow in laboratory environments.

Details

Language :
English
ISSN :
10010149 and 20762607
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Microorganisms
Publication Type :
Academic Journal
Accession number :
edsdoj.bfca98c6e6e44705aa2717685b85db00
Document Type :
article
Full Text :
https://doi.org/10.3390/microorganisms10010149