Sentence examples for morphological data matrix from inspiring English sources

The genes and the morphological data matrix were combined and analysed simultaneously in a Bayesian framework using MrBayes ver. 3.0b4 [39] with partition specific model settings; a separate HKY85+Γ+I model was assigned to each of four partitions of the molecular data defined as; 12posCO1, 3posCO1, 12posH3/Wingless, 3posH3/Wingless.

Our morphological data matrix consisted of 156 characters and 154 species (including outgroups) and was constructed in MacClade 4.0 (see Additional files 2 and 3).

Although detailed analysis of the morphological data for all genera is beyond the scope of this study, we include the full morphological data matrix in Additional file 1.

In multidimensional analysis of morphological data matrix containing quantitative and qualitative characters, sampled population of P. zeylanica was significantly distinguishable and was quite variable representing high levels of inter- and intra-population variation [see Supporting Information— Fig. S2 ].

We added these taxa to the morphological data matrix of Julius and Tanimura [ 22], and used the branch and bound search algorithm in PAUP* to find the most parsimonious trees for this matrix.

Total evidence analysis, where fossils are placed as terminal taxa in the dating analysis using both molecular and morphological data matrix, could help in exploring the robustness of fossil placement [ 85], but as pointed above, the lack of characters in the Solanaceae seed fossils does not currently permit such analyses.

As stated in the methods section, two different morphological data matrices were assembled for testing the impact of morphological data sets on the combined analysis.

All individuals have been carefully revised taxonomically and form the basis for the morphological data matrices (in addition to individuals that were not sequenced).

This might be useful not only for morphological data matrices that only contain variable sites but also for alignments of SNPs.

Currently, similarities among species or populations are being primarily calculated with the use of molecular sequencing data or morphological data matrices, whereas in the past they were based on anatomical features.

Combined analysis with two different morphological data matrices were run in order to evaluate the impact of constraining the analysis on the recovered topology when employing secondary structure as a guide for homology establishment.