Population Dynamics between <i>Erwinia amylovora</i>, <i>Pantoea agglomerans</i> and Bacteriophages: Exploiting Synergy and Competition to Improve Phage Cocktail Efficacy
Bacteriophages are viruses capable of recognizing with high specificity, propagating inside of, and destroying their bacterial hosts. The phage lytic life cycle makes phages attractive as tools to selectively kill pathogenic bacteria with minimal impact on the surrounding microbiome. To effectively...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Microorganisms |
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| Online Access: | https://www.mdpi.com/2076-2607/8/9/1449 |
| _version_ | 1797552973393428480 |
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| author | Steven Gayder Michael Parcey Darlene Nesbitt Alan J. Castle Antonet M. Svircev |
| author_facet | Steven Gayder Michael Parcey Darlene Nesbitt Alan J. Castle Antonet M. Svircev |
| author_sort | Steven Gayder |
| collection | DOAJ |
| description | Bacteriophages are viruses capable of recognizing with high specificity, propagating inside of, and destroying their bacterial hosts. The phage lytic life cycle makes phages attractive as tools to selectively kill pathogenic bacteria with minimal impact on the surrounding microbiome. To effectively harness the potential of phages in therapy, it is critical to understand the phage–host dynamics and how these interactions can change in complex populations. Our model examined the interactions between the plant pathogen <i>Erwinia amylovora</i>, the antagonistic epiphyte <i>Pantoea agglomerans</i>, and the bacteriophages that infect and kill both species. <i>P. agglomerans</i> strains are used as a phage carrier; their role is to deliver and propagate the bacteriophages on the plant surface prior to the arrival of the pathogen. Using liquid cultures, the populations of the pathogen, carrier, and phages were tracked over time with quantitative real-time PCR. The jumbo <i>Myoviridae</i> phage ϕEa35-70 synergized with both the <i>Myoviridae</i> ϕEa21-4 and <i>Podoviridae</i> ϕEa46-1-A1 and was most effective in combination at reducing <i>E. amylovora</i> growth over 24 h. Phage ϕEa35-70, however, also reduced the growth of <i>P. agglomerans</i>. Phage cocktails of ϕEa21-4, ϕEa46-1-A1, and ϕEa35-70 at multiplicities of infections (MOIs) of 10, 1, and 0.01, respectively, no longer inhibited growth of <i>P. agglomerans</i>. When this cocktail was grown with <i>P. agglomerans</i> for 8 h prior to pathogen introduction, pathogen growth was reduced by over four log units over 24 h. These findings present a novel approach to study complex phage–host dynamics that can be exploited to create more effective phage-based therapies. |
| first_indexed | 2024-03-10T16:09:47Z |
| format | Article |
| id | doaj.art-7f4542b87dd04d15b42d0efb5449f10b |
| institution | Directory Open Access Journal |
| issn | 2076-2607 |
| language | English |
| last_indexed | 2024-03-10T16:09:47Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Microorganisms |
| spelling | doaj.art-7f4542b87dd04d15b42d0efb5449f10b2023-11-20T14:36:36ZengMDPI AGMicroorganisms2076-26072020-09-0189144910.3390/microorganisms8091449Population Dynamics between <i>Erwinia amylovora</i>, <i>Pantoea agglomerans</i> and Bacteriophages: Exploiting Synergy and Competition to Improve Phage Cocktail EfficacySteven Gayder0Michael Parcey1Darlene Nesbitt2Alan J. Castle3Antonet M. Svircev4Centre for Biotechnology, Brock University, St. Catharines, ON L2S 3A1, CanadaCentre for Biotechnology, Brock University, St. Catharines, ON L2S 3A1, CanadaAgriculture and Agri-Food Canada, Vineland Station, ON L0R 2E0, CanadaDepartment of Biological Sciences, Brock University, St. Catharines, ON L2S 3A1, CanadaAgriculture and Agri-Food Canada, Vineland Station, ON L0R 2E0, CanadaBacteriophages are viruses capable of recognizing with high specificity, propagating inside of, and destroying their bacterial hosts. The phage lytic life cycle makes phages attractive as tools to selectively kill pathogenic bacteria with minimal impact on the surrounding microbiome. To effectively harness the potential of phages in therapy, it is critical to understand the phage–host dynamics and how these interactions can change in complex populations. Our model examined the interactions between the plant pathogen <i>Erwinia amylovora</i>, the antagonistic epiphyte <i>Pantoea agglomerans</i>, and the bacteriophages that infect and kill both species. <i>P. agglomerans</i> strains are used as a phage carrier; their role is to deliver and propagate the bacteriophages on the plant surface prior to the arrival of the pathogen. Using liquid cultures, the populations of the pathogen, carrier, and phages were tracked over time with quantitative real-time PCR. The jumbo <i>Myoviridae</i> phage ϕEa35-70 synergized with both the <i>Myoviridae</i> ϕEa21-4 and <i>Podoviridae</i> ϕEa46-1-A1 and was most effective in combination at reducing <i>E. amylovora</i> growth over 24 h. Phage ϕEa35-70, however, also reduced the growth of <i>P. agglomerans</i>. Phage cocktails of ϕEa21-4, ϕEa46-1-A1, and ϕEa35-70 at multiplicities of infections (MOIs) of 10, 1, and 0.01, respectively, no longer inhibited growth of <i>P. agglomerans</i>. When this cocktail was grown with <i>P. agglomerans</i> for 8 h prior to pathogen introduction, pathogen growth was reduced by over four log units over 24 h. These findings present a novel approach to study complex phage–host dynamics that can be exploited to create more effective phage-based therapies.https://www.mdpi.com/2076-2607/8/9/1449fire blightphage carrierbacteriophagesqPCRphage–host dynamicsphage cocktails |
| spellingShingle | Steven Gayder Michael Parcey Darlene Nesbitt Alan J. Castle Antonet M. Svircev Population Dynamics between <i>Erwinia amylovora</i>, <i>Pantoea agglomerans</i> and Bacteriophages: Exploiting Synergy and Competition to Improve Phage Cocktail Efficacy Microorganisms fire blight phage carrier bacteriophages qPCR phage–host dynamics phage cocktails |
| title | Population Dynamics between <i>Erwinia amylovora</i>, <i>Pantoea agglomerans</i> and Bacteriophages: Exploiting Synergy and Competition to Improve Phage Cocktail Efficacy |
| title_full | Population Dynamics between <i>Erwinia amylovora</i>, <i>Pantoea agglomerans</i> and Bacteriophages: Exploiting Synergy and Competition to Improve Phage Cocktail Efficacy |
| title_fullStr | Population Dynamics between <i>Erwinia amylovora</i>, <i>Pantoea agglomerans</i> and Bacteriophages: Exploiting Synergy and Competition to Improve Phage Cocktail Efficacy |
| title_full_unstemmed | Population Dynamics between <i>Erwinia amylovora</i>, <i>Pantoea agglomerans</i> and Bacteriophages: Exploiting Synergy and Competition to Improve Phage Cocktail Efficacy |
| title_short | Population Dynamics between <i>Erwinia amylovora</i>, <i>Pantoea agglomerans</i> and Bacteriophages: Exploiting Synergy and Competition to Improve Phage Cocktail Efficacy |
| title_sort | population dynamics between i erwinia amylovora i i pantoea agglomerans i and bacteriophages exploiting synergy and competition to improve phage cocktail efficacy |
| topic | fire blight phage carrier bacteriophages qPCR phage–host dynamics phage cocktails |
| url | https://www.mdpi.com/2076-2607/8/9/1449 |
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