RASA was used to assess the suitability of various combinations of outgroups and to identify potential long branches in the matK and rbcL sequence data of Cornales. Results indicated that several potentially problematic taxa having long branches in individual data sets may have obscured phylogenetic signal, but when data sets were combined RASA no longer detected long branch problems. Our analyses also showed that a taxon having a long branch on the tree may not be identified as a “long-branched” taxon by RASA. The long branches identified by RASA had little effect on the arrangement of other taxa in the tree, but the placements of the long-branched taxa themselves were often problematic. Removing the long-branched taxa from analyses generally increased bootstrap support, often substantially. Use of non-optimal outgroups (as identified by RASA) decreased phylogenetic resolution in parsimony analyses and suggested different relationships in maximum likelihood analyses, although usually weakly supported clades (less than 50% support) were impacted. tRASA provides a more conservative measurements for phylogenetic signal than the PTP and skewness tests. The separate matK and rbcL sequence data sets were measured as not containing phylogenetic signal by RASA, but PTP and skewness tests suggested the reverse. Nonetheless, the matK and rbcL sequence data sets suggested relationships within Cornales largely congruent with those suggested by the combined matK-rbcL sequence data that contains significant phylogenetic signal as measured by tRASA, PTP, and skewness tests. Our results do not recommend using tRASA as a sole criterion to discard data or taxa in phylogenetic analyses, but tRASA and the taxon variance ratio obtained from RASA may be useful as a guide for improved phylogenetic analyses.

Key words: Cornales, long-branches, molecular phylogeny, phylogenetic signal, RASA