Quantifying Variation in Bacterial Reproductive Fitness: a High-Throughput Method

Author:

Frey Pascal M.123ORCID,Baer Julian1ORCID,Bergada-Pijuan Judith1ORCID,Lawless Conor4,Bühler Philipp K.5,Kouyos Roger D.1,Lemon Katherine P.3678ORCID,Zinkernagel Annelies S.1ORCID,Brugger Silvio D.139ORCID

Affiliation:

1. Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland

2. Department of General Internal Medicine, Bern University Hospital, University of Bern, Bern, Switzerland

3. Department of Microbiology, The Forsyth Institute, Cambridge, Massachusetts, USA

4. Translational and Clinical Research Institute, Medical School, Newcastle University, Newcastle upon Tyne, United Kingdom

5. Institute for Intensive Care Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland

6. Division of Infectious Diseases, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA

7. Alkek Center for Metagenomics & Microbiome Research, Department of Molecular Virology & Microbiology, Baylor College of Medicine, Houston, Texas, USA

8. Section of Infectious Diseases, Department of Pediatrics, Texas Children’s Hospital and Baylor College of Medicine, Houston, Texas, USA

9. Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, Massachusetts, USA

Abstract

Reproductive fitness of bacteria is a major factor in the evolution and persistence of antimicrobial resistance and may play an important role as a pathogen factor in severe infections. With a computational approach to quantify fitness in bacteria growing competitively on agar plates, our high-throughput method has been designed to obtain additional phenotypic data for antimicrobial resistance analysis at a low cost.

Funder

HHS | NIH | National Institute of General Medical Sciences

Novartis Foundation

Promedica Stiftung

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

University of Zurich

Béatrice Ederer-Weber Foundation

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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