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Inference of molecular homology and sequence alignment by direct optimization

机译:通过直接优化推断分子同源性和序列比对

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摘要

That homologies exist and can be recognized and discovered is of central importance to comparative and evolutionary biology. Traditionally, homology assessment for both molecular and morphological data has been treated as a two-step process involving the generation of a proposition of homology and then the evaluation of that hypothesis through the test of congruence in a phylogenetic analysis. An alternative phylogenetic method, direct optimization, combines these into a one-step process in which positional homology and cladograms are co-estimated simultaneously. Here we examine the use of the term "homology" as it is applied to molecular data, and critique the concept of molecular homology one must accept if cladograms are to be interpreted as phylogenetic estimates. The test of congruence alone cannot be used to determine homologous (historically identical) features, and character analysis and the proposition of primary homology hypotheses is the only procedure that can identify correspondences between features justified as retaining phylogenetic information. The practical ramifications for phylogenetic analysis, such as data exclusion and the interpretation of tree-like diagrams as phylogenies, are discussed.
机译:同源性存在并且可以被识别和发现对于比较生物学和进化生物学至关重要。传统上,分子和形态数据的同源性评估被视为一个两步过程,涉及生成同源性命题,然后通过在系统发育分析中进行一致性检验来对该假设进行评估。另一种系统发育方法(直接优化)将这些方法组合为一个步骤,在此过程中同时对位置同源性和分支图进行共同估计。在这里,我们研究了术语“同​​源性”在分子数据中的应用,并批评了分子同源性的概念,如果将cladograms解释为系统发育估计,则必须接受。不能仅通过一致性测试来确定同源(历史上相同)的特征,而字符分析和主要同源性假设的命题是唯一可以确定被证明保留系统发育信息的特征之间对应关系的程序。讨论了系统发育分析的实际结果,例如数据排除和将树状图解释为系统发育。

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