Two new combinations in Oreocharis (Gesneriaceae) based on morphological, molecular and cytological evidence

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Abstract

The newly-circumscribed genus Oreocharis is recently enlarged by incorporating ten other genera with high floral diversity. In this study, our morphological, molecular and cytological evidence supports our adding two species from other two different genera (Boeica and Beccarinda) to Oreocharis. The special corolla shape (campanulate or flat-faced) and related short filament of these two new combinations, Oreocharis guileana and O. baolianis, further enrich the diversity of floral characters of the enlarged Oreocharis. Meanwhile, some supplementary and amended descriptions of these two species are made here. Our morphological, molecular and geographical data indicate that O. guileana is related to O. pilosopetiolata to a certain extent. For O. baolianis, however, our current dataset does not allow conclusions on the species relationship within Oreocharis.

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SequenceMatrix: concatenation software for the fast assembly of multi-gene datasets with character set and codon information

Gaurav Vaidya, David Lohman, Rudolf Meier (2011)

We present SequenceMatrix, software that is designed to facilitate the assembly and analysis of multi-gene datasets. Genes are concatenated by dragging and dropping FASTA, NEXUS, or TNT files with aligned sequences into the program window. A multi-gene dataset is concatenated and displayed in a spreadsheet; each sequence is represented by a cell that provides information on sequence length, number of indels, the number of ambiguous bases ("Ns"), and the availability of codon information. Alternatively, GenBank numbers for the sequences can be displayed and exported. Matrices with hundreds of genes and taxa can be concatenated within minutes and exported in TNT, NEXUS, or PHYLIP formats, preserving both character set and codon information for TNT and NEXUS files. SequenceMatrix also creates taxon sets listing taxa with a minimum number of characters or gene fragments, which helps assess preliminary datasets. Entire taxa, whole gene fragments, or individual sequences for a particular gene and species can be excluded from export. Data matrices can be re-split into their component genes and the gene fragments can be exported as individual gene files. SequenceMatrix also includes two tools that help to identify sequences that may have been compromised through laboratory contamination or data management error. One tool lists identical or near-identical sequences within genes, while the other compares the pairwise distance pattern of one gene against the pattern for all remaining genes combined. SequenceMatrix is Java-based and compatible with the Microsoft Windows, Apple MacOS X and Linux operating systems. The software is freely available from http://code.google.com/p/sequencematrix/. © The Willi Hennig Society 2010.