Literature DB >> 16798795

Reconstructing the evolutionary history of polyploids from multilabeled trees.

Katharina T Huber1, Bengt Oxelman, Martin Lott, Vincent Moulton.   

Abstract

In recent studies, phylogenetic networks have been derived from so-called multilabeled trees in order to understand the origins of certain polyploids. Although the trees used in these studies were constructed using sophisticated techniques in phylogenetic analysis, the presented networks were inferred using ad hoc arguments that cannot be easily extended to larger, more complicated examples. In this paper, we present a general method for constructing such networks, which takes as input a multilabeled phylogenetic tree and outputs a phylogenetic network with certain desirable properties. To illustrate the applicability of our method, we discuss its use in reconstructing the evolutionary history of plant allopolyploids. We conclude with a discussion concerning possible future directions. The network construction method has been implemented and is freely available for use from http://www.uea.ac.uk/ approximately a043878/padre.html.

Mesh:

Year:  2006        PMID: 16798795     DOI: 10.1093/molbev/msl045

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  20 in total

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7.  Unraveling reticulate evolution in North American Dryopteris (Dryopteridaceae).

Authors:  Emily B Sessa; Elizabeth A Zimmer; Thomas J Givnish
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8.  A survey of combinatorial methods for phylogenetic networks.

Authors:  Daniel H Huson; Celine Scornavacca
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9.  Inferring polyploid phylogenies from multiply-labeled gene trees.

Authors:  Martin Lott; Andreas Spillner; Katharina T Huber; Anna Petri; Bengt Oxelman; Vincent Moulton
Journal:  BMC Evol Biol       Date:  2009-08-28       Impact factor: 3.260

10.  Intra-individual polymorphism in diploid and apomictic polyploid hawkweeds (Hieracium, Lactuceae, Asteraceae): disentangling phylogenetic signal, reticulation, and noise.

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Journal:  BMC Evol Biol       Date:  2009-09-22       Impact factor: 3.260

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