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
Subjects:
Online Access:http://la-press.com/article.php?article_id=124
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spelling doaj-19153a018f9b47368e2b7b6655a195fc2020-11-25T03:24:17ZengSAGE PublishingEvolutionary Bioinformatics1176-93432006-01-012333345Topological Bias in Distance-Based Phylogenetic Methods: Problems with Over- and Underestimated Genetic DistancesXuhua XiaI 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.http://la-press.com/article.php?article_id=124topological biasminimum evolutionleast-squares methodFitch-Margoliash
collection DOAJ
language English
format Article
sources DOAJ
author Xuhua Xia
spellingShingle Xuhua Xia
Topological Bias in Distance-Based Phylogenetic Methods: Problems with Over- and Underestimated Genetic Distances
Evolutionary Bioinformatics
topological bias
minimum evolution
least-squares method
Fitch-Margoliash
author_facet Xuhua Xia
author_sort Xuhua Xia
title 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_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_sort topological bias in distance-based phylogenetic methods: problems with over- and underestimated genetic distances
publisher SAGE Publishing
series Evolutionary Bioinformatics
issn 1176-9343
publishDate 2006-01-01
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.
topic topological bias
minimum evolution
least-squares method
Fitch-Margoliash
url http://la-press.com/article.php?article_id=124
work_keys_str_mv AT xuhuaxia topologicalbiasindistancebasedphylogeneticmethodsproblemswithoverandunderestimatedgeneticdistances
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