Large multi-gene phylogenetic trees of the grasses (Poaceae): progress towards complete tribal and generic level sampling.

Details

Serval ID
serval:BIB_15EE42376B12
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Large multi-gene phylogenetic trees of the grasses (Poaceae): progress towards complete tribal and generic level sampling.
Journal
Molecular Phylogenetics and Evolution
Author(s)
Bouchenak-Khelladi Y., Salamin N., Savolainen V., Forest F., Bank M., Chase M.W., Hodkinson T.R.
ISSN
1055-7903 (Print)
ISSN-L
1055-7903
Publication state
Published
Issued date
2008
Peer-reviewed
Oui
Volume
47
Number
2
Pages
488-505
Language
english
Abstract
In this paper we included a very broad representation of grass family diversity (84% of tribes and 42% of genera). Phylogenetic inference was based on three plastid DNA regions rbcL, matK and trnL-F, using maximum parsimony and Bayesian methods. Our results resolved most of the subfamily relationships within the major clades (BEP and PACCMAD), which had previously been unclear, such as, among others the: (i) BEP and PACCMAD sister relationship, (ii) composition of clades and the sister-relationship of Ehrhartoideae and Bambusoideae + Pooideae, (iii) paraphyly of tribe Bambuseae, (iv) position of Gynerium as sister to Panicoideae, (v) phylogenetic position of Micrairoideae. With the presence of a relatively large amount of missing data, we were able to increase taxon sampling substantially in our analyses from 107 to 295 taxa. However, bootstrap support and to a lesser extent Bayesian inference posterior probabilities were generally lower in analyses involving missing data than those not including them. We produced a fully resolved phylogenetic summary tree for the grass family at subfamily level and indicated the most likely relationships of all included tribes in our analysis.
Keywords
Bayes Theorem, Consensus Sequence, Databases, Nucleic Acid, Genes, Plant, Phylogeny, Poaceae/genetics
Pubmed
Web of science
Create date
29/05/2008 11:08
Last modification date
20/08/2019 13:45
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