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分子与形态学数据的分支系统分析。

Cladistic analysis of molecular and morphological data.

作者信息

Mishler B D

机构信息

Department of Integrative Biology, University and Jepson Herbaria, University of California, Berkeley 94720.

出版信息

Am J Phys Anthropol. 1994 May;94(1):143-56. doi: 10.1002/ajpa.1330940111.

Abstract

Considerable progress has been made recently in phylogenetic reconstruction in a number of groups of organisms. This progress coincides with two major advances in systematics: new sources have been found for potentially informative characters (i.e., molecular data) and (more importantly) new approaches have been developed for extracting historical information from old or new characters (i.e., Hennigian phylogenetic systematics or cladistics). The basic assumptions of cladistics (the existence and splitting of lineages marked by discrete, heritable, and independent characters, transformation of which occurs at a rate slower than divergence of lineages) are discussed and defended. Molecular characters are potentially greater in quantity than (and usually independent of) more traditional morphological characters, yet their great simplicity (i.e., fewer potential character states; problems with determining homology), and difficulty of sufficient sampling (particularly from fossils) can lead to special difficulties. Expectations of the phylogenetic behavior of different types of data are investigated from a theoretical standpoint, based primarily on variation in the central parameter lambda (branch length in terms of expected number of character changes per segment of a tree), which also leads to possibilities for character and character state weighting. Also considered are prospects for representing diverse yet clearly monophyletic clades in larger-scale cladistic analyses, e.g., the exemplar method vs. "compartmentalization" (a new approach involving substituting an inferred "archetype" for a large clade accepted as monophyletic based on previous analyses). It is concluded that parsimony is to be preferred for synthetic, "total evidence" analyses because it appears to be a robust method, is applicable to all types of data, and has an explicit and interpretable evolutionary basis.

摘要

最近,在许多生物类群的系统发育重建方面取得了相当大的进展。这一进展与系统分类学的两大主要进展相吻合:已发现了潜在信息特征的新来源(即分子数据),并且(更重要的是)已开发出从新旧特征中提取历史信息的新方法(即亨尼希系统发育系统学或分支系统学)。讨论并捍卫了分支系统学的基本假设(由离散、可遗传和独立的特征标记的谱系的存在和分裂,其转变发生的速度比谱系的分歧速度慢)。分子特征在数量上可能比更传统的形态特征更多(并且通常与之无关),然而它们的极度简单性(即潜在特征状态较少;确定同源性存在问题)以及充分采样的困难(特别是从化石中采样)可能会导致特殊困难。从理论角度研究了不同类型数据的系统发育行为预期,主要基于中心参数λ的变化(以树的每个片段预期的特征变化数量表示的分支长度),这也导致了特征和特征状态加权的可能性。还考虑了在大规模分支系统分析中表示不同但明显单系的类群的前景,例如,典范方法与“分区”(一种新方法,涉及用基于先前分析被接受为单系的大类群的推断“原型”进行替代)。得出的结论是,简约法更适合用于综合的“总证据”分析,因为它似乎是一种稳健的方法,适用于所有类型的数据,并且有明确且可解释的进化基础。

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