一种改进的NJ方法及其应用
An Improved Neighbor-Joining Method and Its Applications
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摘要: 传统的邻接法(Neighbor-joining Method,简称NJ)存在“Tied trees”问题,即它从同一数据集中产生的进化树可能不唯一.为解决这一问题,提出了一种改进的NJ方法——INJ,该方法利用速率校正距离把多个最近的种群进行合并,并从理论和应用上说明INJ产生的进化树具有更好的唯一性,而且在NJ树唯一时,INJ树和NJ树完全相同.因此在传统NJ算法产生的二叉树不唯一时,INJ算法也能产生一棵具有唯一拓扑结构的多叉树.Abstract: The problem of“tied trees”has been noticed in the traditional NJ(Neighbor Joining)method, which may produce more than one phylogenectic tree from a single data set,depending on the order of data entry.To solve this problem,this paper presented an improved NJ algorithm.Being different from the traditional NJ algorithm,the improved NJ repeatedly merged multiple groups into one by rate-corrected distance until only one group remained.The author shows in theory and application that the improved algorithm can always produce a unique phylogenetic tree,which is the same as the original NJ tree without considering the order of branches in cases that they are actually bifurcating.Thus it may produce a multifurcating tree with a unique topology,even if the original NJ trees are tied.