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Antibiotic Resistance Protocols pp 17–27Cite as

Construction and Use of Staphylococcus aureus Strains to Study Within-Host Infection Dynamics

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1736))

Abstract

The study of the dynamics that occur during the course of a bacterial infection has been attempted using several methods. Here we discuss the construction of a set of antibiotic-resistant, otherwise-isogenic Staphylococcus aureus strains that can be used to observe the progress of systemic disease in a mouse model at various time-points postinfection. The strains can likewise be used to study the progression of infection in other animal infection models, such as the zebrafish embryo. Furthermore, the use of antibiotic resistance tags provides a convenient system with which to investigate the effect of antimicrobial chemotherapy during disease.

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References

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Authors and Affiliations

  1. Krebs Institute, University of Sheffield, Sheffield, UK

    Gareth McVicker, Tomasz K. Prajsnar & Simon J. Foster

  2. Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield, UK

    Gareth McVicker, Tomasz K. Prajsnar & Simon J. Foster

  3. Bateson Centre, University of Sheffield, Sheffield, UK

    Gareth McVicker, Tomasz K. Prajsnar & Simon J. Foster

Authors
  1. Gareth McVicker
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  2. Tomasz K. Prajsnar
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  3. Simon J. Foster
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Corresponding author

Correspondence to Simon J. Foster .

Editor information

Editors and Affiliations

  1. School of Medicine, University of St. Andrews, North Haugh, United Kingdom

    Stephen H. Gillespie

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McVicker, G., Prajsnar, T.K., Foster, S.J. (2018). Construction and Use of Staphylococcus aureus Strains to Study Within-Host Infection Dynamics. In: Gillespie, S. (eds) Antibiotic Resistance Protocols. Methods in Molecular Biology, vol 1736. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7638-6_2

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  • DOI: https://doi.org/10.1007/978-1-4939-7638-6_2

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7636-2

  • Online ISBN: 978-1-4939-7638-6

  • eBook Packages: Springer Protocols

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