Counting Replication Origins to Measure Growth of Pathogens

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Standard

Counting Replication Origins to Measure Growth of Pathogens. / Charbon, Godefroid; Haugan, Maria Schei; Frimodt-Møller, Niels; Løbner-Olesen, Anders.

I: Antibiotics, Bind 9, Nr. 5, 239, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Charbon, G, Haugan, MS, Frimodt-Møller, N & Løbner-Olesen, A 2020, 'Counting Replication Origins to Measure Growth of Pathogens', Antibiotics, bind 9, nr. 5, 239. https://doi.org/10.3390/antibiotics9050239

APA

Charbon, G., Haugan, M. S., Frimodt-Møller, N., & Løbner-Olesen, A. (2020). Counting Replication Origins to Measure Growth of Pathogens. Antibiotics, 9(5), [239]. https://doi.org/10.3390/antibiotics9050239

Vancouver

Charbon G, Haugan MS, Frimodt-Møller N, Løbner-Olesen A. Counting Replication Origins to Measure Growth of Pathogens. Antibiotics. 2020;9(5). 239. https://doi.org/10.3390/antibiotics9050239

Author

Charbon, Godefroid ; Haugan, Maria Schei ; Frimodt-Møller, Niels ; Løbner-Olesen, Anders. / Counting Replication Origins to Measure Growth of Pathogens. I: Antibiotics. 2020 ; Bind 9, Nr. 5.

Bibtex

@article{63f80e6c0b29496f948256c39daebb3d,
title = "Counting Replication Origins to Measure Growth of Pathogens",
abstract = "For the past several decades, the success of bacterial strains in infecting their host has been essentially ascribed to the presence of canonical virulence genes. While it is unclear how much growth rate impacts the outcome of an infection, it is long known that the efficacy of the most commonly used antibiotics is correlated to growth. This applies especially to -lactams, whose efficacy is nearly abolished when cells grow very slowly. It is therefore reasonable to assume that a niche or genetic dependent change in growth rate could contribute to the variability in the outcome of antibiotic therapy. However, little is known about the growth rate of pathogens or their pathotypes in their host.",
author = "Godefroid Charbon and Haugan, {Maria Schei} and Niels Frimodt-M{\o}ller and Anders L{\o}bner-Olesen",
year = "2020",
doi = "10.3390/antibiotics9050239",
language = "English",
volume = "9",
journal = "Antibiotics",
issn = "2079-6382",
publisher = "M D P I AG",
number = "5",

}

RIS

TY - JOUR

T1 - Counting Replication Origins to Measure Growth of Pathogens

AU - Charbon, Godefroid

AU - Haugan, Maria Schei

AU - Frimodt-Møller, Niels

AU - Løbner-Olesen, Anders

PY - 2020

Y1 - 2020

N2 - For the past several decades, the success of bacterial strains in infecting their host has been essentially ascribed to the presence of canonical virulence genes. While it is unclear how much growth rate impacts the outcome of an infection, it is long known that the efficacy of the most commonly used antibiotics is correlated to growth. This applies especially to -lactams, whose efficacy is nearly abolished when cells grow very slowly. It is therefore reasonable to assume that a niche or genetic dependent change in growth rate could contribute to the variability in the outcome of antibiotic therapy. However, little is known about the growth rate of pathogens or their pathotypes in their host.

AB - For the past several decades, the success of bacterial strains in infecting their host has been essentially ascribed to the presence of canonical virulence genes. While it is unclear how much growth rate impacts the outcome of an infection, it is long known that the efficacy of the most commonly used antibiotics is correlated to growth. This applies especially to -lactams, whose efficacy is nearly abolished when cells grow very slowly. It is therefore reasonable to assume that a niche or genetic dependent change in growth rate could contribute to the variability in the outcome of antibiotic therapy. However, little is known about the growth rate of pathogens or their pathotypes in their host.

U2 - 10.3390/antibiotics9050239

DO - 10.3390/antibiotics9050239

M3 - Journal article

C2 - 32397204

VL - 9

JO - Antibiotics

JF - Antibiotics

SN - 2079-6382

IS - 5

M1 - 239

ER -

ID: 242776410