Skip to main navigation Skip to search Skip to main content

Geographical migration and fitness dynamics of Streptococcus pneumoniae

  • The Global Pneumococcal Sequencing Consortium
  • Wellcome Sanger Institute
  • University of Cambridge
  • Barcelona Supercomputing Center
  • National Institute for Communicable Diseases
  • School of Pathology
  • Parasites and Microbes
  • National Center for Immunization and Respiratory Diseases
  • University of the Witwatersrand Faculty of Health Sciences
  • University of Cape Town
  • Instituto Nacional de Enfermedades Infecciosas
  • icddr,b
  • Child Health Research Foundation
  • Belarusian State Medical University
  • Institute Adolfo Lutz
  • Angkor Hospital for Children
  • Peking University People’s Hospital
  • The Chinese University of Hong Kong–Prince of Wales Hospital
  • Chinese University of Hong Kong
  • University of California San Francisco
  • Centre Hospitalier Intercommunal de Créteil
  • Université Paris-Est Créteil Val de Marne
  • Groupe de Pathologie Infectieuse Pédiatrique de la Société Française de Pédiatrie
  • University of Ghana
  • Christian Medical College
  • Kempegowda Institute of Medical Sciences
  • Ben-Gurion University of the Negev
  • Kenya Medical Research Institute
  • University of Malawi
  • Khalifa University College of Medicine and Health Sciences
  • The Emirates ICT Innovation Center (EBTIC)
  • UCSI University
  • University of Southampton
  • Manhiça Health Research Center (CISM)
  • University of Oxford
  • University of Sydney

Research output: Contribution to journal › Article › peer-review

29   Link opens in a new tab Citations (SciVal)

Abstract

Streptococcus pneumoniae is a leading cause of pneumonia and meningitis worldwide. Many different serotypes co-circulate endemically in any one location1,2. The extent and mechanisms of spread and vaccine-driven changes in fitness and antimicrobial resistance remain largely unquantified. Here using geolocated genome sequences from South Africa (n = 6,910, collected from 2000 to 2014), we developed models to reconstruct spread, pairing detailed human mobility data and genomic data. Separately, we estimated the population-level changes in fitness of strains that are included (vaccine type (VT)) and not included (non-vaccine type (NVT)) in pneumococcal conjugate vaccines, first implemented in South Africa in 2009. Differences in strain fitness between those that are and are not resistant to penicillin were also evaluated. We found that pneumococci only become homogenously mixed across South Africa after 50 years of transmission, with the slow spread driven by the focal nature of human mobility. Furthermore, in the years following vaccine implementation, the relative fitness of NVT compared with VT strains increased (relative risk of 1.68; 95% confidence interval of 1.59–1.77), with an increasing proportion of these NVT strains becoming resistant to penicillin. Our findings point to highly entrenched, slow transmission and indicate that initial vaccine-linked decreases in antimicrobial resistance may be transient.

Original languageEnglish
Pages (from-to)386-392
Number of pages7
JournalNature
Volume631
Issue number8020
Early online date3 Jul 2024
DOIs
Publication statusPublished - 11 Jul 2024

Data Availability Statement

All data and code for figures and analysis are accessible at GitHub (https://github.com/sophbel/geomig_evo_pneumo). All whole-genome sequences were deposited into the European Nucleotide Database and accession numbers are available in the GitHub repository and on FigShare (https://doi.org/10.6084/m9.figshare.24219214)75. Associated metadata are available from the Microreact webserver (https://microreact.org/project/7wqgd2gbBBEeBLLPKonbaT-belman2024southafricapneumococcus), as well as from the GitHub repository and Global Pneumococcal Sequencing Project Monocle database (https://data.monocle.sanger.ac.uk/).

Funding

This work was supported by the Wellcome Trust (grant number WT QQ2016-2021, reference 206194, to S.B., S.L. and S.D.B.); the Bill & Melinda Gates Foundation (under Investment ID INV-003570 to S.A.M., A.v.G., M.d.P., S.D. and S.N.); the NIH (grant number R01AI160780 to H.S.); and the European Research Council (grant number 804744 to H.S. and N.L.). For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. We would like to thank all Global Pneumococcal Sequencing project partners; and M.\u2009O\u2019Driscoll, S.\u2009Farr, and V.\u2009Carr for code review.

FundersFunder number
The Wellcome Trust206194, WT QQ2016-2021
NIH-NIAR01AI160780
Bill & Melinda Gates FoundationINV-003570
European Research Council804744

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Geographical migration and fitness dynamics of Streptococcus pneumoniae'. Together they form a unique fingerprint.

Cite this