NeighborNet: An agglomerative method for the construction of phylogenetic networks

David Bryant, Vincent Moulton

Research output: Contribution to journalArticlepeer-review

1547 Citations (SciVal)

Abstract

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.
Original languageEnglish
Pages (from-to)255-265
Number of pages11
JournalMolecular Biology and Evolution
Volume21
Issue number2
DOIs
Publication statusPublished - 2004

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