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No so HoT - 正面或反面无法可靠地比较多个序列比对。

No so HoT - heads or tails is not able to reliably compare multiple sequence alignments.

作者信息

Wise Michael J

出版信息

Cladistics. 2010 Aug;26(4):438-443. doi: 10.1111/j.1096-0031.2009.00292.x. Epub 2009 Nov 11.

DOI:10.1111/j.1096-0031.2009.00292.x
PMID:34875807
Abstract

Most phylogenetic-tree building applications use multiple sequence alignments as a starting point. A recent meta-level methodology, called Heads or Tails, aims to reveal the quality of multiple sequence alignments by comparing alignments taken in the forward direction with the alignments of the same sequences when the sequences are reversed. Through an examination of a special case for multiple sequence alignment - pair-wise alignments, where an optimal algorithm exists - and the use of a modified global-alignment application, it is shown that the forward and reverse alignments, even when they are the same, do not capture all the possible variations in the alignments and when the forward and reverse alignments differ there may be other alignments that remain unaccounted for. The implication is that comparing just the forward and (biologically irrelevant) reverse alignments is not sufficient to capture the variability in multiple sequence alignments, and the Heads or Tails methodology is therefore not suitable as a method for investigating multiple sequence alignment accuracy. Part of the reason is the inability of individual multiple sequence alignment applications to adequately sample the space of possible alignments. A further implication is that the Hall [Hall, B.G., 2008. Mol. Biol. Evol. 25, 1576-1580] methodology may create optimal synthetic multiple sequence alignments that extant aligners will be unable to completely recover ab initio due to alternative alignments being possible at particular sites. In general, it is shown that more divergent sequences will give rise to an increased number of alternative alignments, so sequence sets with a higher degree of similarity are preferable to sets with lower similarity as the starting point for phylogenetic tree building.  © The Willi Hennig Society 2009.

摘要

大多数系统发育树构建应用程序都将多序列比对作为起点。一种名为“正面还是反面”的最新元层次方法,旨在通过将正向比对的序列与序列反向时相同序列的比对进行比较,来揭示多序列比对的质量。通过研究多序列比对的一种特殊情况——成对比对(存在一种最优算法),并使用一种改进的全局比对应用程序,结果表明,即使正向和反向比对相同,它们也无法捕捉比对中所有可能的变化;而当正向和反向比对不同时,可能还有其他未被考虑的比对。这意味着仅比较正向和(生物学上无关的)反向比对不足以捕捉多序列比对中的变异性,因此“正面还是反面”方法不适用于研究多序列比对的准确性。部分原因是单个多序列比对应用程序无法充分对可能的比对空间进行采样。另一个影响是,霍尔[霍尔,B.G.,2008.《分子生物学与进化》25,1576 - 1580]方法可能会创建最优的合成多序列比对,由于在特定位置可能存在替代比对,现有的比对程序将无法完全从头恢复这些比对。一般来说,研究表明,序列差异越大,替代比对的数量就会增加,因此作为系统发育树构建的起点,相似度较高的序列集比相似度较低的序列集更可取。© 威利·亨尼希协会2009年。

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