Scholay

学术搜索 · AI 审稿 · LaTeX 协作

The Parsimony Ratchet, a New Method for Rapid Parsimony Analysis

作者:Kevin C. J. Nixon · 发表于:Cladistics · 年份:1999 · DOI:10.1111/j.1096-0031.1999.tb00277.x · 被引用次数:1761 · 研究领域:Genetic diversity and population structure、Genomics and Phylogenetic Studies、Plant and animal studies

is presented as a new method for analysis of large data sets. The method can be easily implemented with existing phylogenetic software by generating batch command files. Such an approach has been implemented in the programs DADA (Nixon, 1998) and Winclada (Nixon, 1999). The Parsimony Ratchet has also been implemented in the most recent versions of NONA (Goloboff, 1998). These implementations of the ratchet use the following steps: (1) Generate a starting tree (e.g., a "Wagner" tree followed by some level of branch swapping or not). (2) Randomly select a subset of characters, each of which is given additional weight (e.g., add 1 to the weight of each selected character). (3) Perform branch swapping (e.g., "branch-breaking" or TBR) on the current tree using the reweighted matrix, keeping only one (or few) tree. (4) Set all weights for the characters to the "original" weights (typically, equal weights). (5) Perform branch swapping (e.g., branch-breaking or TBR) on the current tree (from step 3) holding one (or few) tree. (6) Return to step 2. Steps 2-6 are considered to be one iteration, and typically, 50-200 or more iterations are performed. The number of characters to be sampled for reweighting in step 2 is determined by the user; I have found that between 5 and 25% of the characters provide good results in most cases. The performance of the ratchet for large data sets is outstanding, and the results of analyses of the 500 taxon seed plant rbcL data set (Chase et al., 1993) ar...