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Short branches lead to systematic artifacts when BLAST searches are used as surrogate for phylogenetic reconstruction

机译:当爆炸搜查用作系统发育重建的替代品时,短分支导致系统伪影

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摘要

Long Branch Attraction (LBA) is a well-known artifact in phylogenetic reconstruction when dealing with branch length heterogeneity. Here we show another phenomenon, Short Branch Attraction (SBA), which occurs when BLAST searches, a phenetic analysis, are used as a surrogate method for phylogenetic analysis. This error also results from branch length heterogeneity, but this time it is the short branches that are attracting. The SBA artifact is reciprocal and can be returned 100% of the time when multiple branches differ in length by a factor of more than two. SBA is an intended feature of BLAST searches, but becomes an issue, when top scoring BLAST hit analyses are used to infer Horizontal Gene Transfers (HGTs), assign taxonomic category with environmental sequence data in phylotyping, or gather homologous sequences for building gene families. SBA can lead researchers to believe that there has been a HGT event when only vertical descent has occurred, cause slowly evolving taxa to be over-represented and quickly evolving taxa to be under-represented in phylotyping, or systematically exclude quickly evolving taxa from analyses. SBA also contributes to the changing results of top scoring BLAST hit analyses as the database grows, because more slowly evolving taxa, or short branches, are added over time, introducing more potential for SBA. SBA can be detected by examining reciprocal best BLAST hits among a larger group of taxa, including the known closest phylogenetic neighbors. Therefore, one should look for this phenomenon when conducting best BLAST hit analyses as a surrogate method to identify HGTs, in phylotyping, or when using BLAST to gather homologous sequences. (C) 2016 Elsevier Inc. All rights reserved.
机译:在处理分支长度异质性时,长分支吸引力(LBA)是系统发育重建中的众所周知的伪影。在这里,我们展示了另一个现象,短分支吸引力(SBA),当爆炸搜查,易素分析用作系统发育分析的替代方法。此错误还产生了分支长度异质性,但这时间是吸引的短分支。 SBA伪像是倒数的,可以在多个分支长度的长度差超过两个时返回100%的时间。 SBA是爆炸搜查的预期特征,但变得成为一个问题,当使用顶级评分爆炸击中分析来推断出水平基因转移(HGT),将分类学类别与种子型化的环境序列数据分配,或聚集用于构建基因家族的同源序列。 SBA可以引导研究人员认为,只有垂直下降发生了HGT事件,导致慢慢不断发展的分类群以过度代表和快速地进化出来,以便在系统中迅速地进化出来的分析。当数据库增长时,SBA还有助于更改顶级评分爆炸爆炸分析的结果,因为随着时间的推移,增加了慢慢不断发展的分支,或短分支,为SBA引入了更多的潜力。可以通过检查较大的分类群中的互核性最佳爆炸击中来检测SBA,包括已知的最近的系统发育邻居。因此,在进行最佳爆炸的分析时应该寻找这种现象作为替代方法,以鉴定HGT,或者在使用爆炸以收集同源序列时。 (c)2016年Elsevier Inc.保留所有权利。

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