Efficient inference of bacterial strain trees from genome-scale multilocus data.

ABSTRACT:

Motivation

In bacterial evolution, inferring a strain tree, which is the evolutionary history of different strains of the same bacterium, plays a major role in analyzing and understanding the evolution of strongly isolated populations, population divergence and various evolutionary events, such as horizontal gene transfer and homologous recombination. Inferring a strain tree from multilocus data of these strains is exceptionally hard since, at this scale of evolution, processes such as homologous recombination result in a very high degree of gene tree incongruence.

Results

In this article we present a novel computational method for inferring the strain tree despite massive gene tree incongruence caused by homologous recombination. Our method operates in three phases, where i

SUBMITTER: Than C 

PROVIDER: S-EPMC2718627 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature