Classification of in vitro phage–host population growth dynamics

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Standard

Classification of in vitro phage–host population growth dynamics. / Sørensen, Patricia E.; Ng, Duncan Y.K.; Duchateau, Luc; Ingmer, Hanne; Garmyn, An; Butaye, Patrick.

I: Microorganisms, Bind 9, Nr. 12, 2470, 2021.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Sørensen, PE, Ng, DYK, Duchateau, L, Ingmer, H, Garmyn, A & Butaye, P 2021, 'Classification of in vitro phage–host population growth dynamics', Microorganisms, bind 9, nr. 12, 2470. https://doi.org/10.3390/microorganisms9122470

APA

Sørensen, P. E., Ng, D. Y. K., Duchateau, L., Ingmer, H., Garmyn, A., & Butaye, P. (2021). Classification of in vitro phage–host population growth dynamics. Microorganisms, 9(12), [2470]. https://doi.org/10.3390/microorganisms9122470

Vancouver

Sørensen PE, Ng DYK, Duchateau L, Ingmer H, Garmyn A, Butaye P. Classification of in vitro phage–host population growth dynamics. Microorganisms. 2021;9(12). 2470. https://doi.org/10.3390/microorganisms9122470

Author

Sørensen, Patricia E. ; Ng, Duncan Y.K. ; Duchateau, Luc ; Ingmer, Hanne ; Garmyn, An ; Butaye, Patrick. / Classification of in vitro phage–host population growth dynamics. I: Microorganisms. 2021 ; Bind 9, Nr. 12.

Bibtex

@article{be78fa1fa21d495b98ef387544c84ce4,
title = "Classification of in vitro phage–host population growth dynamics",
abstract = "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 E. coli-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.",
keywords = "Bacteriophage, Escherichia coli, Growth dynamics, Phage therapy, Phage–host interaction",
author = "S{\o}rensen, {Patricia E.} and Ng, {Duncan Y.K.} and Luc Duchateau and Hanne Ingmer and An Garmyn and Patrick Butaye",
note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2021",
doi = "10.3390/microorganisms9122470",
language = "English",
volume = "9",
journal = "Microorganisms",
issn = "2076-2607",
publisher = "M D P I AG",
number = "12",

}

RIS

TY - JOUR

T1 - Classification of in vitro phage–host population growth dynamics

AU - Sørensen, Patricia E.

AU - Ng, Duncan Y.K.

AU - Duchateau, Luc

AU - Ingmer, Hanne

AU - Garmyn, An

AU - Butaye, Patrick

N1 - Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021

Y1 - 2021

N2 - 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 E. coli-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.

AB - 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 E. coli-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.

KW - Bacteriophage

KW - Escherichia coli

KW - Growth dynamics

KW - Phage therapy

KW - Phage–host interaction

U2 - 10.3390/microorganisms9122470

DO - 10.3390/microorganisms9122470

M3 - Journal article

C2 - 34946072

AN - SCOPUS:85120179370

VL - 9

JO - Microorganisms

JF - Microorganisms

SN - 2076-2607

IS - 12

M1 - 2470

ER -

ID: 286630094