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ClonalFrameML:高效推断全细菌基因组中的重组。

ClonalFrameML: efficient inference of recombination in whole bacterial genomes.

机构信息

Department of Infectious Disease Epidemiology, Imperial College, London, United Kingdom.

Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom; Wellcome Trust Centre for Human Genetics, Oxford, United Kingdom.

出版信息

PLoS Comput Biol. 2015 Feb 12;11(2):e1004041. doi: 10.1371/journal.pcbi.1004041. eCollection 2015 Feb.

Abstract

Recombination is an important evolutionary force in bacteria, but it remains challenging to reconstruct the imports that occurred in the ancestry of a genomic sample. Here we present ClonalFrameML, which uses maximum likelihood inference to simultaneously detect recombination in bacterial genomes and account for it in phylogenetic reconstruction. ClonalFrameML can analyse hundreds of genomes in a matter of hours, and we demonstrate its usefulness on simulated and real datasets. We find evidence for recombination hotspots associated with mobile elements in Clostridium difficile ST6 and a previously undescribed 310kb chromosomal replacement in Staphylococcus aureus ST582. ClonalFrameML is freely available at http://clonalframeml.googlecode.com/.

摘要

重组是细菌进化的一个重要力量,但要重建基因组样本祖先中发生的输入仍然具有挑战性。这里我们介绍 ClonalFrameML,它使用最大似然推断同时检测细菌基因组中的重组,并在系统发育重建中考虑到它。ClonalFrameML 可以在数小时内分析数百个基因组,我们在模拟和真实数据集上证明了它的有用性。我们在艰难梭菌 ST6 中发现了与移动元件相关的重组热点的证据,以及金黄色葡萄球菌 ST582 中以前未描述的 310kb 染色体替换。ClonalFrameML 可在 http://clonalframeml.googlecode.com/ 免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5de3/4326465/84ebe1e9ead2/pcbi.1004041.g001.jpg

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