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We prepared a matrix for phylogenetic analysis by aligning plastome sequences in MAFFT v. 6.864b.
The data matrix for phylogenetic analyses included 61 protein-coding genes for 30 taxa, including 28 angiosperms and two gymnosperm outgroups (Pinus and Ginkgo).
The data matrix for phylogenetic analyses included 61 protein-coding genes for 28 taxa (Table 3), including 26 angiosperms and two gymnosperm outgroups (Pinus and Ginkgo).
To assemble a sequence matrix for phylogenetic inference, each protein cluster was aligned using ClustalW (Larkin et al., 2007) (default parameters), trimmed for high-quality alignment blocks with GBlocks (Castresana, 2000) (default settings), sorted by species name, and concatenated.
We prepared a second matrix for phylogenetic analysis by aligning the sequences of rpoC2 from the plastomes of each species, the informatically assembled ψrpoC2 sequence from each species, and an outgroup plastid rpoC2 sequence from Nerium oleander (GenBank: GQ997692.1), a member of Apocynoideae (another subfamily of Apocynaceae), using MAFFT.
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We used available EST (expressed sequence tags) and whole genome databases in order to obtain multi-locus data matrices for phylogenetic inferences (see Table S1).
Accordingly, in order to minimize any possible effects of missing data, we generated two different data matrices for phylogenetic analyses.
However, many descriptions of fossils are inadequate to allow them to be used directly to prepare cladistic matrices for phylogenetic analyses.
MatrixConverter can output discrete character matrices for phylogenetic or other evolutionary analyses, such as tests for phylogenetic signal, ancestral state reconstructions, or tests to relate phenotypic characters with diversification, in NEXUS (Maddison et al., 1997), PHYLIP, or NeXML format (Vos et al., 2012), or as a text file.
The data matrix used for phylogenetic reconstructions included the three partitions aligned using BALI-PHY, as well as three additional partitions.
The 15420 bp data matrix used for phylogenetic analyses, comprising the ribosomal RNA, transfer RNA and protein-coding genes, is available from TreeBASE (study ID S11081).
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