Increasing the number of discrete character states for continuous characters generates well-resolved trees that do not reflect phylogeny

作     者：Jérémie BARDIN Isabelle ROUGET Margaret Mary YACOBUCCI Fabrizio CECCA 

作者机构：Sorbonne UniversityPierre-and-Marie-Curie University(UPMC-P6)ParisFrance National Museum of Natural History(MNHN)ParisFrance The National Center for Scientific Research(CNRS)ParisFrance Department of GeologyBowling Green State UniversityBowling GreenOhioUSA 

出 版 物：《Integrative Zoology》 (整合动物学（英文版）)

年 卷 期：2014年第9卷第4期

页      面：531-541页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：cladistics continuous character gap weighting phylogeny 

摘      要：Since the introduction of the cladistic method in systematics,continuous characters have been integrated into analyses but no methods for their treatment have received unanimous *** methods require a large number of character states to discretise continuous characters in order to keep the maximum level of informa­tion about taxa differences within the coding *** objective was to assess the impact of increasing the character state number on the outcomes of phylogenetic *** of a variety of simulated datasets shows that these methods for coding continuous characters can lead to the generation of well-resolved trees that do not reflect a phylogenetic *** call this phenomenon the flattening of the tree-length distribution;it is influenced by both the relative quantity of continuous characters in relation to discrete characters,and the num­ber of characters in relation to the number of *** tests provide a method to avoid this potential bias.