Frequency-dependent selection can forecast evolution in Streptococcus pneumoniae.


Journal

PLoS biology
ISSN: 1545-7885
Titre abrégé: PLoS Biol
Pays: United States
ID NLM: 101183755

Informations de publication

Date de publication:
10 2020
Historique:
received: 06 03 2020
accepted: 18 09 2020
entrez: 22 10 2020
pubmed: 23 10 2020
medline: 15 12 2020
Statut: epublish

Résumé

Predicting how pathogen populations will change over time is challenging. Such has been the case with Streptococcus pneumoniae, an important human pathogen, and the pneumococcal conjugate vaccines (PCVs), which target only a fraction of the strains in the population. Here, we use the frequencies of accessory genes to predict changes in the pneumococcal population after vaccination, hypothesizing that these frequencies reflect negative frequency-dependent selection (NFDS) on the gene products. We find that the standardized predicted fitness of a strain, estimated by an NFDS-based model at the time the vaccine is introduced, enables us to predict whether the strain increases or decreases in prevalence following vaccination. Further, we are able to forecast the equilibrium post-vaccine population composition and assess the invasion capacity of emerging lineages. Overall, we provide a method for predicting the impact of an intervention on pneumococcal populations with potential application to other bacterial pathogens in which NFDS is a driving force.

Identifiants

pubmed: 33091022
doi: 10.1371/journal.pbio.3000878
pii: PBIOLOGY-D-20-00582
pmc: PMC7580979
doi:

Substances chimiques

Pneumococcal Vaccines 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3000878

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI106786
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI048935
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM088558
Pays : United States
Organisme : World Health Organization
ID : 001
Pays : International
Organisme : Wellcome Trust
ID : 104169/Z/14/A
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom

Déclaration de conflit d'intérêts

I have read the journal’s policy and the authors of this manuscript have the following competing interests. ML has consulted for Pfizer, Affinivax, and Merck and has received grant support not related to this paper from Pfizer and PATH Vaccine Solutions. WPH, ML, and NJC have consulted for Antigen Discovery Inc. The authors have declared that no competing interests exist. KLOB has received grant support for pneumococcal work not related to this paper from Pfizer, GSK, and Gavi. KLOB has consulted for Merck and Sanofi Pasteur. LRG, LLH, and RCW have received grant support not related to this paper from Pfizer, Merck, and GSK.

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Auteurs

Taj Azarian (T)

Burnett School of Biomedical Sciences, University of Central Florida, Orlando, Florida, United States of America.
Center for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.

Pamela P Martinez (PP)

Center for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.

Brian J Arnold (BJ)

Center for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.

Xueting Qiu (X)

Center for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.

Lindsay R Grant (LR)

Center for American Indian Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.

Jukka Corander (J)

Helsinki Institute for Information Technology, Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
Department of Biostatistics, University of Oslo, Oslo, Norway.
Infection Genomics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom.

Christophe Fraser (C)

Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.

Nicholas J Croucher (NJ)

MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.

Laura L Hammitt (LL)

Center for American Indian Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.

Raymond Reid (R)

Center for American Indian Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.

Mathuram Santosham (M)

Center for American Indian Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.

Robert C Weatherholtz (RC)

Center for American Indian Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.

Stephen D Bentley (SD)

Infection Genomics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom.

Katherine L O'Brien (KL)

World Health Organization, Geneva, Switzerland.

Marc Lipsitch (M)

Center for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.
Department of Immunology and Infectious Diseases, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.

William P Hanage (WP)

Center for Communicable Disease Dynamics, Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.

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