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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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 |
_version_ |
1724602438939312128 |