Topological Bias in Distance-Based Phylogenetic Methods: Problems with Over- and Underestimated Genetic Distances

I show several types of topological biases in distance-based methods that use the least-squares method to evaluate branch lengths and the minimum evolution (ME) or the Fitch-Margoliash (FM) criterion to choose the best tree. For a 6-species tree, there are two tree shapes, one with three cherries (a...

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Main Author: Xuhua Xia
Format: Article
Language:English
Published: SAGE Publishing 2006-01-01
Series:Evolutionary Bioinformatics
Online Access:https://doi.org/10.1177/117693430600200034
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author Xuhua Xia
author_facet Xuhua Xia
author_sort Xuhua Xia
collection DOAJ
description I show several types of topological biases in distance-based methods that use the least-squares method to evaluate branch lengths and the minimum evolution (ME) or the Fitch-Margoliash (FM) criterion to choose the best tree. For a 6-species tree, there are two tree shapes, one with three cherries (a cherry is a pair of adjacent leaves descending from the most recent common ancestor), and the other with two. When genetic distances are underestimated, the 3-cherry tree shape is favored with either the ME or FM criterion. When the genetic distances are overestimated, the ME criterion favors the 2-cherry tree, but the direction of bias with the FM criterion depends on whether negative branches are allowed, i.e. allowing negative branches favors the 3-cherry tree shape but disallowing negative branches favors the 2-cherry tree shape. The extent of the bias is explored by computer simulation of sequence evolution.
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spelling doaj.art-e22b63fd43c0429fa8ead370b90cee602022-12-22T00:23:35ZengSAGE PublishingEvolutionary Bioinformatics1176-93432006-01-01210.1177/117693430600200034Topological Bias in Distance-Based Phylogenetic Methods: Problems with Over- and Underestimated Genetic DistancesXuhua Xia0Department of Biology, University of Ottawa, Ottawa, Ontario, Canada.I show several types of topological biases in distance-based methods that use the least-squares method to evaluate branch lengths and the minimum evolution (ME) or the Fitch-Margoliash (FM) criterion to choose the best tree. For a 6-species tree, there are two tree shapes, one with three cherries (a cherry is a pair of adjacent leaves descending from the most recent common ancestor), and the other with two. When genetic distances are underestimated, the 3-cherry tree shape is favored with either the ME or FM criterion. When the genetic distances are overestimated, the ME criterion favors the 2-cherry tree, but the direction of bias with the FM criterion depends on whether negative branches are allowed, i.e. allowing negative branches favors the 3-cherry tree shape but disallowing negative branches favors the 2-cherry tree shape. The extent of the bias is explored by computer simulation of sequence evolution.https://doi.org/10.1177/117693430600200034
spellingShingle Xuhua Xia
Topological Bias in Distance-Based Phylogenetic Methods: Problems with Over- and Underestimated Genetic Distances
Evolutionary Bioinformatics
title Topological Bias in Distance-Based Phylogenetic Methods: Problems with Over- and Underestimated Genetic Distances
title_full Topological Bias in Distance-Based Phylogenetic Methods: Problems with Over- and Underestimated Genetic Distances
title_fullStr Topological Bias in Distance-Based Phylogenetic Methods: Problems with Over- and Underestimated Genetic Distances
title_full_unstemmed Topological Bias in Distance-Based Phylogenetic Methods: Problems with Over- and Underestimated Genetic Distances
title_short Topological Bias in Distance-Based Phylogenetic Methods: Problems with Over- and Underestimated Genetic Distances
title_sort topological bias in distance based phylogenetic methods problems with over and underestimated genetic distances
url https://doi.org/10.1177/117693430600200034
work_keys_str_mv AT xuhuaxia topologicalbiasindistancebasedphylogeneticmethodsproblemswithoverandunderestimatedgeneticdistances