Publication:

Heterogeneity in the Frequency and Characteristics of Homologous Recombination in Pneumococcal Evolution

Loading...
Thumbnail Image

Open/View Files

Date

2014

Journal Title

Journal ISSN

Volume Title

Publisher

Public Library of Science
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Mostowy, Rafal, Nicholas J. Croucher, William P. Hanage, Simon R. Harris, Stephen Bentley, and Christophe Fraser. 2014. “Heterogeneity in the Frequency and Characteristics of Homologous Recombination in Pneumococcal Evolution.” PLoS Genetics 10 (5): e1004300. doi:10.1371/journal.pgen.1004300. http://dx.doi.org/10.1371/journal.pgen.1004300.

Abstract

The bacterium Streptococcus pneumoniae (pneumococcus) is one of the most important human bacterial pathogens, and a leading cause of morbidity and mortality worldwide. The pneumococcus is also known for undergoing extensive homologous recombination via transformation with exogenous DNA. It has been shown that recombination has a major impact on the evolution of the pathogen, including acquisition of antibiotic resistance and serotype-switching. Nevertheless, the mechanism and the rates of recombination in an epidemiological context remain poorly understood. Here, we proposed several mathematical models to describe the rate and size of recombination in the evolutionary history of two very distinct pneumococcal lineages, PMEN1 and CC180. We found that, in both lineages, the process of homologous recombination was best described by a heterogeneous model of recombination with single, short, frequent replacements, which we call micro-recombinations, and rarer, multi-fragment, saltational replacements, which we call macro-recombinations. Macro-recombination was associated with major phenotypic changes, including serotype-switching events, and thus was a major driver of the diversification of the pathogen. We critically evaluate biological and epidemiological processes that could give rise to the micro-recombination and macro-recombination processes.

Description

Research Data

Keywords

Biology and Life Sciences, Computational Biology, Genome Evolution, Evolutionary Biology, Evolutionary Genetics, Population Biology, Medicine and Health Sciences, Epidemiology, Physical Sciences, Mathematics, Statistics (Mathematics)

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories