Abstract

An earlier analysis of the trnL intron in the Colletieae (Rhamnaceae) showed polyphyly of the genus Discaria. Polyphyly of Discaria is supported only by an AT-rich region of ambiguous alignment within the trnL intron. Polyphyly of the genus relies on extracting the information of the AT-rich region correctly. Ambiguously aligned regions are commonly excluded from phylogenetic analysis. In the present study the question was raised whether random or noisy data could generate a pattern like the one found in the AT-rich region of ambiguous alignment. The original pattern was resistant to changes in alignment parameter cost when submitted to a sensitivity analysis using direct optimization. Artificially generated random or noisy data gave well-resolved trees but these were found to be extremely sensitive to changes in parameter costs. However, information from additional data, such as conserved regions, restricts the influence of random data. It is here suggested that the information in ambiguously aligned regions need not be dismissed, provided that an appropriate method that finds all possible optimal alignments is used to extract the information. In addition to commonly used support measures, some information of robustness to changes in alignment parameter costs is needed in order to make the most reliable conclusions.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.