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Computational Prediction of Bacteriophage Host Ranges
- 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