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一种通过一组23种脊椎动物的示例来说明证明系统发育树最小性的通用方法。

A general approach to proving the minimality of phylogenetic trees illustrated by an example with a set of 23 vertebrates.

作者信息

Foulds L R, Penny D, Hendy M D

出版信息

J Mol Evol. 1979 Jul 18;13(2):151-66. doi: 10.1007/BF01732869.

Abstract

We have recently described a method of building phylogenetic trees and have outlined an approach for proving whether a particular tree is optimal for the data used. In this paper we describe in detail the method of establishing lower bounds on the length of a minimal tree by partitioning the data set into subsets. All characters that could be involved in duplications in the data are paired with all other such characters. A matching algorithm is then used to obtain the pairing of characters that reveals the most duplications in the data. This matching may still not account for all nucleotide substitutions on the tree. The structure of the tree is then used to help select subsets of three or more characters until the lower bound found by partitioning is equal to the length of the tree. The tree must then be a minimal tree since no tree can exist with a length less than that of the lower bound. The method is demonstrated using a set of 23 vertebrate cytochrome c sequences with the criterion of minimizing the total number of nucleotide substitutions. There are 131130 7045768798 96033440625 topologically distinct trees that can be constructed from this data set. The method described in this paper does identify 144 minimal tree variants. The method is general in the sense that it can be used for other data and other criteria of length. It need not however always be possible to prove a treee minimal but the method will give an upper and lower bound on the length of minimal trees.

摘要

我们最近描述了一种构建系统发育树的方法,并概述了一种证明特定树对于所使用的数据是否最优的方法。在本文中,我们详细描述了通过将数据集划分为子集来确定最小树长度下限的方法。数据中所有可能参与重复的字符都与所有其他此类字符配对。然后使用一种匹配算法来获得能揭示数据中最多重复情况的字符配对。这种匹配可能仍无法解释树上所有的核苷酸替换。接着利用树的结构来帮助选择三个或更多字符的子集,直到通过划分找到的下限等于树的长度。此时该树必定是最小树,因为不存在长度小于下限的树。使用一组23个脊椎动物细胞色素c序列,以最小化核苷酸替换总数为标准来演示该方法。从这个数据集中可以构建出131130704576879896033440625个拓扑结构不同的树。本文所述方法确实识别出了144种最小树变体。该方法具有通用性,因为它可用于其他数据和其他长度标准。然而,不一定总能证明一棵树是最小的,但该方法会给出最小树长度的上限和下限。

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