A new support measure to quantify the impact of local optima in phylogenetic analyses

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Abstract

Phylogentic analyses are often incorrectly assumed to have stabilized to a single optimum. However, a set of trees from a phylogenetic analysis may contain multiple distinct local optima with each optimum providing different levels of support for each clade. For situations with multiple local optima, we propose p-support which is a clade support measure that shows the impact optima have on a final consensus tree. Our p-support measure is implemented in our PeakMapper software package. We study our approach on two published, large-scale biological tree collections. PeakMapper shows that each data set contains multiple local optima. p-support shows that both datasets contain clades in the majority consensus tree that are only supported by a subset of the local optima. Clades with low p-support are most likely to benefit from further investigation. These tools provide researchers with new information regarding phylogenetic analyses beyond what is provided by other support measures alone. © the author(s), publisher and licensee Libertas Academica Ltd.

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APA

Brammer, G., Sul, S. J., & Williams, T. L. (2011). A new support measure to quantify the impact of local optima in phylogenetic analyses. Evolutionary Bioinformatics, 2011(7), 159–170. https://doi.org/10.4137/EBO.S7182

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