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Göteborgs universitets publikationer

Inferring polyploid phylogenies from multiply-labeled gene trees.

Författare och institution:
Martin Lott (-); Andreas Spillner (-); Katharina T Huber (-); Anna Petri (Institutionen för växt- och miljövetenskaper); Bengt Oxelman (Institutionen för växt- och miljövetenskaper); Vincent Moulton (-)
Publicerad i:
BMC evolutionary biology, 9 s. 216
Artikel, refereegranskad vetenskaplig
Fulltextlänk (lokalt arkiv):
Sammanfattning (abstract):
BACKGROUND: Gene trees that arise in the context of reconstructing the evolutionary history of polyploid species are often multiply-labeled, that is, the same leaf label can occur several times in a single tree. This property considerably complicates the task of forming a consensus of a collection of such trees compared to usual phylogenetic trees. RESULTS: We present a method for computing a consensus tree of multiply-labeled trees. As with the well-known greedy consensus tree approach for phylogenetic trees, our method first breaks the given collection of gene trees into a set of clusters. It then aims to insert these clusters one at a time into a tree, starting with the clusters that are supported by most of the gene trees. As the problem to decide whether a cluster can be inserted into a multiply-labeled tree is computationally hard, we have developed a heuristic method for solving this problem. CONCLUSION: We illustrate the applicability of our method using two collections of trees for plants of the genus Silene, that involve several allopolyploids at different levels.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
Matematik ->
Beräkningsmatematik ->
Tillämpad matematik
Biologiska vetenskaper ->
Bioinformatik och systembiologi
Biologiska vetenskaper ->
Biologisk systematik
Biologiska vetenskaper ->
Algorithms, Animals, Phylogeny, Plants, classification, genetics, Polyploidy
Ytterligare information:
© 2009 Lott et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Postens nummer:
Posten skapad:
2009-12-16 12:47
Posten ändrad:
2013-01-10 10:08

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