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Microbacterium Cluster EA Bacteriophages: Phylogenomic Relationships and Host Range Predictions
Bacteriophages are being widely harnessed as an alternative to antibiotics due to the global emergence of drug-resistant pathogens. To guide the usage of these bactericidal agents, characterization of their host specificity is vital—however, host range information remains limited for many bacterioph...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863963/ https://www.ncbi.nlm.nih.gov/pubmed/36677462 http://dx.doi.org/10.3390/microorganisms11010170 |
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author | Milhaven, Mark Versoza, Cyril J. Garg, Aman Cai, Lindsey Cherian, Sanjana Johnson, Kamalei Salas Perez, Kevin Blanco, Madison Lobatos, Jackelyn Mitra, Corinne Strasser, Maria Pfeifer, Susanne P. |
author_facet | Milhaven, Mark Versoza, Cyril J. Garg, Aman Cai, Lindsey Cherian, Sanjana Johnson, Kamalei Salas Perez, Kevin Blanco, Madison Lobatos, Jackelyn Mitra, Corinne Strasser, Maria Pfeifer, Susanne P. |
author_sort | Milhaven, Mark |
collection | PubMed |
description | Bacteriophages are being widely harnessed as an alternative to antibiotics due to the global emergence of drug-resistant pathogens. To guide the usage of these bactericidal agents, characterization of their host specificity is vital—however, host range information remains limited for many bacteriophages. This is particularly the case for bacteriophages infecting the Microbacterium genus, despite their importance in agriculture, biomedicine, and biotechnology. Here, we elucidate the phylogenomic relationships between 125 Microbacterium cluster EA bacteriophages—including members from 11 sub-clusters (EA1 to EA11)—and infer their putative host ranges using insights from codon usage bias patterns as well as predictions from both exploratory and confirmatory computational methods. Our computational analyses suggest that cluster EA bacteriophages have a shared infection history across the Microbacterium clade. Interestingly, bacteriophages of all sub-clusters exhibit codon usage preference patterns that resemble those of bacterial strains different from ones used for isolation, suggesting that they might be able to infect additional hosts. Furthermore, host range predictions indicate that certain sub-clusters may be better suited in prospective biotechnological and medical applications such as phage therapy. |
format | Online Article Text |
id | pubmed-9863963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98639632023-01-22 Microbacterium Cluster EA Bacteriophages: Phylogenomic Relationships and Host Range Predictions Milhaven, Mark Versoza, Cyril J. Garg, Aman Cai, Lindsey Cherian, Sanjana Johnson, Kamalei Salas Perez, Kevin Blanco, Madison Lobatos, Jackelyn Mitra, Corinne Strasser, Maria Pfeifer, Susanne P. Microorganisms Brief Report Bacteriophages are being widely harnessed as an alternative to antibiotics due to the global emergence of drug-resistant pathogens. To guide the usage of these bactericidal agents, characterization of their host specificity is vital—however, host range information remains limited for many bacteriophages. This is particularly the case for bacteriophages infecting the Microbacterium genus, despite their importance in agriculture, biomedicine, and biotechnology. Here, we elucidate the phylogenomic relationships between 125 Microbacterium cluster EA bacteriophages—including members from 11 sub-clusters (EA1 to EA11)—and infer their putative host ranges using insights from codon usage bias patterns as well as predictions from both exploratory and confirmatory computational methods. Our computational analyses suggest that cluster EA bacteriophages have a shared infection history across the Microbacterium clade. Interestingly, bacteriophages of all sub-clusters exhibit codon usage preference patterns that resemble those of bacterial strains different from ones used for isolation, suggesting that they might be able to infect additional hosts. Furthermore, host range predictions indicate that certain sub-clusters may be better suited in prospective biotechnological and medical applications such as phage therapy. MDPI 2023-01-10 /pmc/articles/PMC9863963/ /pubmed/36677462 http://dx.doi.org/10.3390/microorganisms11010170 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Brief Report Milhaven, Mark Versoza, Cyril J. Garg, Aman Cai, Lindsey Cherian, Sanjana Johnson, Kamalei Salas Perez, Kevin Blanco, Madison Lobatos, Jackelyn Mitra, Corinne Strasser, Maria Pfeifer, Susanne P. Microbacterium Cluster EA Bacteriophages: Phylogenomic Relationships and Host Range Predictions |
title | Microbacterium Cluster EA Bacteriophages: Phylogenomic Relationships and Host Range Predictions |
title_full | Microbacterium Cluster EA Bacteriophages: Phylogenomic Relationships and Host Range Predictions |
title_fullStr | Microbacterium Cluster EA Bacteriophages: Phylogenomic Relationships and Host Range Predictions |
title_full_unstemmed | Microbacterium Cluster EA Bacteriophages: Phylogenomic Relationships and Host Range Predictions |
title_short | Microbacterium Cluster EA Bacteriophages: Phylogenomic Relationships and Host Range Predictions |
title_sort | microbacterium cluster ea bacteriophages: phylogenomic relationships and host range predictions |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863963/ https://www.ncbi.nlm.nih.gov/pubmed/36677462 http://dx.doi.org/10.3390/microorganisms11010170 |
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