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  1. 010 学術雑誌論文
  2. 印南, 秀樹 / INNAN, Hideki

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

https://ir.soken.ac.jp/records/4480
https://ir.soken.ac.jp/records/4480
322a540b-cec1-45fe-b7a3-54e4037b2879
Item type 学術雑誌論文 / Journal Article(1)
公開日 2014-05-08
タイトル
タイトル Efficient inference of bacterial strain trees from genome-scale multilocus data
タイトル
言語 en
タイトル Efficient inference of bacterial strain trees from genome-scale multilocus data
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 THAN, Cuong

× THAN, Cuong

WEKO 764

THAN, Cuong

Search repository
SUGINO, Ryuichi P.

× SUGINO, Ryuichi P.

WEKO 2694

SUGINO, Ryuichi P.

Search repository
INNAN, Hideki

× INNAN, Hideki

WEKO 342

INNAN, Hideki

Search repository
NAKHLEH, Luay

× NAKHLEH, Luay

WEKO 766

NAKHLEH, Luay

Search repository
著者別名 印南, 秀樹

× 印南, 秀樹

WEKO 341
NRID 1000090444140
e-Rad 90444140

印南, 秀樹

Search repository
抄録
内容記述タイプ Abstract
内容記述 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 in phase I a set of candidate strain-tree topologies is computed using the maximal cliques concept, in phase II divergence times for each of the topologies are estimated using mixed integer linear programming (MILP) and in phase III the optimal tree (or trees) is selected based on an optimality criterion. We have analyzed 1898 genes from nine strains of the Staphylococcus aureus bacteria, and identified a fully resolved (binary) strain tree with estimated divergence times, despite the high degrees of sequence identity at the nucleotide level and gene tree incongruence. Our method's efficiency makes it particularly suitable for analysis of genome-scale datasets, including those of strongly isolated populations which are usually very challenging to analyze.

Availability: We have implemented the algorithms in the PhyloNet software package, which is available publicly at http://bioinfo.cs.rice.edu/phylonet/

Contact: nakhleh@cs.rice.edu
書誌情報 Bioinformatics
en : Bioinformatics

巻 24, 号 13, p. i123-i131, 発行日 2008
出版者
出版者 Oxford University Press
ISSN
収録物識別子タイプ ISSN
収録物識別子 1367-4803
DOI
識別子タイプ DOI
関連識別子 https://doi.org/10.1093/bioinformatics/btn149
関連名称 10.1093/bioinformatics/btn149
権利
権利情報 © Oxford University Press
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