Classification of In Vitro Phage–Host Population Growth Dynamics
The therapeutic use of bacteriophages (phage therapy) represents a promising alternative to antibiotics to control bacterial pathogens. However, the understanding of the phage–bacterium interactions and population dynamics seems essential for successful phage therapy implementation. Here, we investi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Microorganisms |
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| Online Access: | https://www.mdpi.com/2076-2607/9/12/2470 |
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| author | Patricia E. Sørensen Duncan Y. K. Ng Luc Duchateau Hanne Ingmer An Garmyn Patrick Butaye |
| author_facet | Patricia E. Sørensen Duncan Y. K. Ng Luc Duchateau Hanne Ingmer An Garmyn Patrick Butaye |
| author_sort | Patricia E. Sørensen |
| collection | DOAJ |
| description | The therapeutic use of bacteriophages (phage therapy) represents a promising alternative to antibiotics to control bacterial pathogens. However, the understanding of the phage–bacterium interactions and population dynamics seems essential for successful phage therapy implementation. Here, we investigated the effect of three factors: phage species (18 lytic <i>E. coli</i>-infecting phages); bacterial strain (10 APEC strains); and multiplicity of infection (MOI) (MOI 10, 1, and 0.1) on the bacterial growth dynamics. All factors had a significant effect, but the phage appeared to be the most important. The results showed seven distinct growth patterns. The first pattern corresponded to the normal bacterial growth pattern in the absence of a phage. The second pattern was complete bacterial killing. The remaining patterns were in-between, characterised by delayed growth and/or variable killing of the bacterial cells. In conclusion, this study demonstrates that the phage–host dynamics is an important factor in the capacity of a phage to eliminate bacteria. The classified patterns show that this is an essential factor to consider when developing a phage therapy. This methodology can be used to rapidly screen for novel phage candidates for phage therapy. Accordingly, the most promising candidates were phages found in Group 2, characterised by growth dynamics with high bacterial killing. |
| first_indexed | 2024-03-10T03:31:57Z |
| format | Article |
| id | doaj.art-0afa61e9650e448c89e81cf80c30e7a6 |
| institution | Directory Open Access Journal |
| issn | 2076-2607 |
| language | English |
| last_indexed | 2024-03-10T03:31:57Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Microorganisms |
| spelling | doaj.art-0afa61e9650e448c89e81cf80c30e7a62023-11-23T09:38:27ZengMDPI AGMicroorganisms2076-26072021-11-01912247010.3390/microorganisms9122470Classification of In Vitro Phage–Host Population Growth DynamicsPatricia E. Sørensen0Duncan Y. K. Ng1Luc Duchateau2Hanne Ingmer3An Garmyn4Patrick Butaye5Department of Pathobiology, Pharmacology and Zoological Medicine, Ghent University, 9820 Merelbeke, BelgiumDepartment of Bacteria, Parasites and Fungi, Statens Serum Institut, 2300 Copenhagen, DenmarkBiometrics Research Center, Ghent University, 9820 Merelbeke, BelgiumDepartment of Veterinary and Animal Sciences, University of Copenhagen, 1870 Frederiksberg, DenmarkDepartment of Pathobiology, Pharmacology and Zoological Medicine, Ghent University, 9820 Merelbeke, BelgiumDepartment of Pathobiology, Pharmacology and Zoological Medicine, Ghent University, 9820 Merelbeke, BelgiumThe therapeutic use of bacteriophages (phage therapy) represents a promising alternative to antibiotics to control bacterial pathogens. However, the understanding of the phage–bacterium interactions and population dynamics seems essential for successful phage therapy implementation. Here, we investigated the effect of three factors: phage species (18 lytic <i>E. coli</i>-infecting phages); bacterial strain (10 APEC strains); and multiplicity of infection (MOI) (MOI 10, 1, and 0.1) on the bacterial growth dynamics. All factors had a significant effect, but the phage appeared to be the most important. The results showed seven distinct growth patterns. The first pattern corresponded to the normal bacterial growth pattern in the absence of a phage. The second pattern was complete bacterial killing. The remaining patterns were in-between, characterised by delayed growth and/or variable killing of the bacterial cells. In conclusion, this study demonstrates that the phage–host dynamics is an important factor in the capacity of a phage to eliminate bacteria. The classified patterns show that this is an essential factor to consider when developing a phage therapy. This methodology can be used to rapidly screen for novel phage candidates for phage therapy. Accordingly, the most promising candidates were phages found in Group 2, characterised by growth dynamics with high bacterial killing.https://www.mdpi.com/2076-2607/9/12/2470growth dynamicsphage–host interactionphage therapybacteriophage<i>Escherichia coli</i> |
| spellingShingle | Patricia E. Sørensen Duncan Y. K. Ng Luc Duchateau Hanne Ingmer An Garmyn Patrick Butaye Classification of In Vitro Phage–Host Population Growth Dynamics Microorganisms growth dynamics phage–host interaction phage therapy bacteriophage <i>Escherichia coli</i> |
| title | Classification of In Vitro Phage–Host Population Growth Dynamics |
| title_full | Classification of In Vitro Phage–Host Population Growth Dynamics |
| title_fullStr | Classification of In Vitro Phage–Host Population Growth Dynamics |
| title_full_unstemmed | Classification of In Vitro Phage–Host Population Growth Dynamics |
| title_short | Classification of In Vitro Phage–Host Population Growth Dynamics |
| title_sort | classification of in vitro phage host population growth dynamics |
| topic | growth dynamics phage–host interaction phage therapy bacteriophage <i>Escherichia coli</i> |
| url | https://www.mdpi.com/2076-2607/9/12/2470 |
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