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Predicting the Evolution of Antibiotic Resistance in Streptococcus pneumoniae

Total Cost €


EC-Contrib. €






Project "PEARS" data sheet

The following table provides information about the project.


Organization address
city: LONDON
postcode: SW7 2AZ

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-06-01   to  2017-05-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Streptococcus pneumoniae (the pneumococcus) is a bacterial species generally commensal to humans, but which occasionally causes infections responsible for the death of 800, 000 infants each year worldwide. Multiple genotypes exhibiting resistance to antibiotics have emerged in past years. Intriguingly, despite extensive antibiotic consumption operating strong selection for resistance, the latter remains at a stable frequency, 15% on average over the last 20 years in Europe. This is paradoxical, as robust coexistence of resistant and sensitive strains is unexpected under the simplest epidemiological models. In this project, I will investigate the possibility that coexistence is instead maintained by a more complex mechanism, relying on local adaptation to several niches characterized by different rates of antibiotic administration. I will develop a series of novel models with increasing realism and relevance to the context of S. pneumoniae, drawing from the often separate fields of population genetics and epidemiology. Starting with simple but general two- and multiple-niches models that allow for analytical solutions to provide initial insights, I will then build a more complex simulation model parameterized with biologically realistic contact and treatment structures. Output of this model will be confronted to large-scale patterns of spatial variation in resistance observed in epidemiological datasets. The analysis of these models will help us understand what factors facilitate the maintenance of coexistence in S. pneumoniae. This work may lead to better treatment policies to manage antibiotic resistance in this major pathogen.


year authors and title journal last update
List of publications.
2016 François Blanquart, Myriam Valero, Catharina Alves-de-Souza, Aliou Dia, Frédéric Lepelletier, Estelle Bigeard, Christian Jeanthon, Christophe Destombe, Laure Guillou
Evidence for parasite-mediated selection during short-lasting toxic algal blooms
published pages: 20161870, ISSN: 0962-8452, DOI: 10.1098/rspb.2016.1870
Proceedings of the Royal Society B: Biological Sciences 283/1841 2019-07-24
2017 François Blanquart, Sonja Lehtinen, Christophe Fraser
An evolutionary model to predict the frequency of antibiotic resistance under seasonal antibiotic use, and an application to Streptococcus pneumoniae
published pages: 20170679, ISSN: 0962-8452, DOI: 10.1098/rspb.2017.0679
Proceedings of the Royal Society B: Biological Sciences 284/1855 2019-07-24
2016 François Blanquart, Mary Kate Grabowski, Joshua Herbeck, Fred Nalugoda, David Serwadda, Michael A Eller, Merlin L Robb, Ronald Gray, Godfrey Kigozi, Oliver Laeyendecker, Katrina A Lythgoe, Gertrude Nakigozi, Thomas C Quinn, Steven J Reynolds, Maria J Wawer, Christophe Fraser
A transmission-virulence evolutionary trade-off explains attenuation of HIV-1 in Uganda
published pages: , ISSN: 2050-084X, DOI: 10.7554/eLife.20492
eLife 5 2019-07-24
2017 Sonja Lehtinen, François Blanquart, Nicholas J. Croucher, Paul Turner, Marc Lipsitch, Christophe Fraser
Evolution of antibiotic resistance is linked to any genetic mechanism affecting bacterial duration of carriage
published pages: 1075-1080, ISSN: 0027-8424, DOI: 10.1073/pnas.1617849114
Proceedings of the National Academy of Sciences 114/5 2019-07-24
2017 Susan F. Bailey, François Blanquart, Thomas Bataillon, Rees Kassen
What drives parallel evolution?
published pages: e201600176, ISSN: 0265-9247, DOI: 10.1002/bies.201600176
BioEssays 39/1 2019-07-24
2016 Katrina A. Lythgoe, François Blanquart, Lorenzo Pellis, Christophe Fraser
Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics
published pages: e1002567, ISSN: 1545-7885, DOI: 10.1371/journal.pbio.1002567
PLOS Biology 14/10 2019-07-24

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