Parallel Evolution of Group B Streptococcus Hypervirulent Clonal Complex 17 Unveils New Pathoadaptive Mutations

Author:

Almeida Alexandre123,Rosinski-Chupin Isabelle12,Plainvert Céline45678,Douarre Pierre-Emmanuel12,Borrego Maria J.9,Poyart Claire45678,Glaser Philippe12ORCID

Affiliation:

1. Institut Pasteur, Unité Ecologie et Evolution de la Résistance aux Antibiotiques, Paris, France

2. CNRS UMR 3525, Paris, France

3. Université Pierre et Marie Curie, Paris, France

4. Service de Bactériologie, Centre National de Référence des Streptocoques, Groupe Hospitalier Paris Centre Cochin-Hôtel Dieu-Broca, Assistance Publique Hôpitaux de Paris, Paris, France

5. DHU “Risques et Grossesse,” Assistance Publique Hôpitaux de Paris, Paris, France

6. INSERM, U1016, Paris, France

7. CNRS (UMR 8104), Paris, France

8. Université Paris Descartes, Sorbonne Paris Cité, Paris, France

9. National Institute of Health, Lisbon, Portugal

Abstract

The incidence of group B Streptococcus (GBS) neonatal disease continues to be a significant cause of concern worldwide. Strains belonging to clonal complex 17 (CC17) are the most frequently responsible for GBS infections in neonates, especially among late-onset disease cases. Therefore, we undertook the largest genomic study of GBS CC17 strains to date to decipher the genetic bases of their remarkable colonization and infection ability. We show that crucial functions involved in different steps of the colonization or infection process of GBS are distinctly mutated during the adaptation of CC17 to the human host. In particular, our results implicate the CovRS two-component regulator of virulence in the differentiation between carriage- and disease-associated isolates. Not only does this work raise important implications for the ongoing development of a vaccine against GBS but might also drive the discovery of key functions for GBS adaptation and pathogenesis that have been overlooked until now.

Funder

Agence Nationale de la Recherche

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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