Neighbor-Net: An agglomerative method for the construction of phylogenetic networks

被引:1498
作者
Bryant, D [1 ]
Moulton, V
机构
[1] McGill Ctr Bioinformat, Montreal, PQ, Canada
[2] Uppsala Univ, Linnaeus Ctr Bioinformat, Uppsala, Sweden
关键词
networks; neighbor-joining; recombination; SplitsTree;
D O I
10.1093/molbev/msh018
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We present Neighbor-Net, a distance based method for constructing phylogenetic networks that is based on the Neighbor-Joining (NJ) algorithm of Saitou and Nei. Neighbor-Net provides a snapshot of the data that can guide more detailed analysis. Unlike split decomposition, Neighbor-Net scales well and can quickly produce detailed and informative networks for several hundred taxa. We illustrate the method by reanalyzing three published data sets: a collection of 110 highly recombinant Salmonella multi-locus sequence typing sequences, the 135 "African Eve" human mitochondrial sequences published by Vigilant et al., and a collection of 12 Archeal chaperonin sequences demonstrating strong evidence for gene conversion. Neighbor-Net is available as part of the SplitsTree4 software package.
引用
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页码:255 / 265
页数:11
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