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Phylogenetic assessment of alignments reveals neglected tree signal in gaps

机译:比对的系统发育评估显示间隙中被忽略的树木信号

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Background: The alignment of biological sequences is of chief importance to most evolutionary and comparative genomics studies, yet the two main approaches used to assess alignment accuracy have flaws: reference alignments are derived from the biased sample of proteins with known structure, and simulated data lack realism. Results: Here, we introduce tree-based tests of alignment accuracy, which not only use large and representative samples of real biological data, but also enable the evaluation of the effect of gap placement on phylogenetic inference. We show that (i) the current belief that consistency-based alignments outperform scoring matrix-based alignments is misguided; (ii) gaps carry substantial phylogenetic signal, but are poorly exploited by most alignment and tree building programs; (iii) even so, excluding gaps and variable regions is detrimental; (iv) disagreement among alignment programs says little about the accuracy of resulting trees. Conclusions: This study provides the broad community relying on sequence alignment with important practical recommendations, sets superior standards for assessing alignment accuracy, and paves the way for the development of phylogenetic inference methods of significantly higher resolution.
机译:背景:生物序列的比对对大多数进化和比较基因组学研究至关重要,但是用于评估比对准确性的两种主要方法存在缺陷:参考比对是从具有已知结构的有偏差的蛋白质样品中获得的,而缺乏模拟数据现实主义。结果:在这里,我们引入基于树的比对准确性测试,该测试不仅使用大量的具有代表性的真实生物数据样本,而且还可以评估空位放置对系统发育推断的影响。我们证明(i)当前基于一致性的比对优于基于矩阵的比对的误解; (ii)缺口携带大量的系统发育信号,但大多数比对和植树计划并未充分利用这些缺口; (iii)即使这样,将差距和可变区排除在外也是有害的; (iv)对齐程序之间的分歧很少说明结果树的准确性。结论:本研究为广泛的社区提供了依赖序列比对的重要实用建议,为评估比对准确性设定了更高的标准,并为开发分辨率更高的系统发生推断方法铺平了道路。

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