Evolutionary Bioinformatics (Jan 2011)

A New Support Measure to Quantify the Impact of Local Optima in Phylogenetic Analyses

  • Grant Brammer,
  • Seung-Jin Sul,
  • Tiffani L. Williams

DOI
https://doi.org/10.4137/EBO.S7182
Journal volume & issue
Vol. 7

Abstract

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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.