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Phylogeographic variation in recombination rates within a global clone of methicillin-resistant Staphylococcus aureus.


ABSTRACT: Next-generation sequencing (NGS) is a powerful tool for understanding both patterns of descent over time and space (phylogeography) and the molecular processes underpinning genome divergence in pathogenic bacteria. Here, we describe a synthesis between these perspectives by employing a recently developed Bayesian approach, BRATNextGen, for detecting recombination on an expanded NGS dataset of the globally disseminated methicillin-resistant Staphylococcus aureus (MRSA) clone ST239.The data confirm strong geographical clustering at continental, national and city scales and demonstrate that the rate of recombination varies significantly between phylogeographic sub-groups representing independent introductions from Europe. These differences are most striking when mobile non-core genes are included, but remain apparent even when only considering the stable core genome. The monophyletic ST239 sub-group corresponding to isolates from South America shows heightened recombination, the sub-group predominantly from Asia shows an intermediate level, and a very low level of recombination is noted in a third sub-group representing a large collection from Turkey.We show that the rapid global dissemination of a single pathogenic bacterial clone results in local variation in measured recombination rates. Possible explanatory variables include the size and time since emergence of each defined sub-population (as determined by the sampling frame), variation in transmission dynamics due to host movement, and changes in the bacterial genome affecting the propensity for recombination.

SUBMITTER: Castillo-Ramirez S 

PROVIDER: S-EPMC3803117 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature

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Phylogeographic variation in recombination rates within a global clone of methicillin-resistant Staphylococcus aureus.

Castillo-Ramírez Santiago S   Corander Jukka J   Marttinen Pekka P   Aldeljawi Mona M   Hanage William P WP   Westh Henrik H   Boye Kit K   Gulay Zeynep Z   Bentley Stephen D SD   Parkhill Julian J   Holden Matthew T MT   Feil Edward J EJ  

Genome biology 20121227 12


<h4>Background</h4>Next-generation sequencing (NGS) is a powerful tool for understanding both patterns of descent over time and space (phylogeography) and the molecular processes underpinning genome divergence in pathogenic bacteria. Here, we describe a synthesis between these perspectives by employing a recently developed Bayesian approach, BRATNextGen, for detecting recombination on an expanded NGS dataset of the globally disseminated methicillin-resistant Staphylococcus aureus (MRSA) clone ST  ...[more]

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