Experimental Evolution In Vivo To Identify Selective Pressures during Pneumococcal Colonization

Author:

Cooper Vaughn S.12ORCID,Honsa Erin3,Rowe Hannah3,Deitrick Christopher12,Iverson Amy R.3,Whittall Jonathan J.4,Neville Stephanie L.5,McDevitt Christopher A.5ORCID,Kietzman Colin3,Rosch Jason W.3

Affiliation:

1. Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA

2. Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA

3. St. Jude Children’s Research Hospital, Department of Infectious Diseases, Memphis, Tennessee, USA

4. Department of Molecular and Biomedical Science, School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia

5. Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Victoria, Australia

Abstract

Evolution is a powerful force that can be experimentally harnessed to gain insight into how populations evolve in response to selective pressures. Herein we tested the applicability of experimental evolutionary approaches to gain insight into how the major human pathogen Streptococcus pneumoniae responds to repeated colonization events using a murine model. These studies revealed the population dynamics of repeated colonization events and demonstrated that in vivo experimental evolution resulted in highly reproducible trajectories that reflect the environmental niche encountered during nasal colonization. Mutations impacting the surface charge of the bacteria were repeatedly selected during colonization and provided a fitness benefit in this niche that was counterbalanced by a corresponding fitness defect during lung infection. These data indicate that experimental evolution can be applied to models of pathogenesis to gain insight into organism-specific tissue tropisms.

Funder

HHS | NIH | National Institute of Allergy and Infectious Diseases

Department of Education and Training | Australian Research Council

Publisher

American Society for Microbiology

Subject

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

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