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首页> 外文期刊>BMC Genomics >HGTector: an automated method facilitating genome-wide discovery of putative horizontal gene transfers
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HGTector: an automated method facilitating genome-wide discovery of putative horizontal gene transfers

机译:HGTector:一种自动化方法,可促进全基因组范围内推定水平基因转移的发现

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Background First pass methods based on BLAST match are commonly used as an initial step to separate the different phylogenetic histories of genes in microbial genomes, and target putative horizontal gene transfer (HGT) events. This will continue to be necessary given the rapid growth of genomic data and the technical difficulties in conducting large-scale explicit phylogenetic analyses. However, these methods often produce misleading results due to their inability to resolve indirect phylogenetic links and their vulnerability to stochastic events. Results A new computational method of rapid, exhaustive and genome-wide detection of HGT was developed, featuring the systematic analysis of BLAST hit distribution patterns in the context of a priori defined hierarchical evolutionary categories. Genes that fall beyond a series of statistically determined thresholds are identified as not adhering to the typical vertical history of the organisms in question, but instead having a putative horizontal origin. Tests on simulated genomic data suggest that this approach effectively targets atypically distributed genes that are highly likely to be HGT-derived, and exhibits robust performance compared to conventional BLAST-based approaches. This method was further tested on real genomic datasets, including Rickettsia genomes, and was compared to previous studies. Results show consistency with currently employed categories of HGT prediction methods. In-depth analysis of both simulated and real genomic data suggests that the method is notably insensitive to stochastic events such as gene loss, rate variation and database error, which are common challenges to the current methodology. An automated pipeline was created to implement this approach and was made publicly available at: https://github.com/DittmarLab/HGTector webcite . The program is versatile, easily deployed, has a low requirement for computational resources. Conclusions HGTector is an effective tool for initial or standalone large-scale discovery of candidate HGT-derived genes.
机译:背景技术基于BLAST匹配的首过方法通常用作分离微生物基因组中基因的不同系统发生历史和目标假定水平基因转移(HGT)事件的初始步骤。鉴于基因组数据的快速增长和进行大规模显式系统发育分析的技术难度,这将继续是必要的。但是,由于这些方法无法解决间接的系统发育联系以及它们对随机事件的脆弱性,因此通常会产生误导性的结果。结果开发了一种新的计算,快速,详尽和全基因组检测HGT的计算方法,其特征是在先验定义的分级进化类别的背景下对BLAST命中分布模式进行系统分析。超出一系列统计确定的阈值的基因被确定为不遵守所讨论生物的典型垂直历史,而是具有假定的水平起源。对模拟基因组数据的测试表明,该方法有效地靶向了非典型分布的基因,这些基因极有可能是HGT衍生的,并且与常规的基于BLAST的方法相比,具有强大的性能。该方法在包括立克次体基因组在内的真实基因组数据集上进行了进一步测试,并与以前的研究进行了比较。结果表明与当前采用的HGT预测方法类别一致。对模拟和真实基因组数据的深入分析表明,该方法对随机事件(例如基因丢失,速率变化和数据库错误)特别不敏感,而随机事件是当前方法的常见挑战。创建了一个自动管道来实现此方法,并在以下网址公开提供:https://github.com/DittmarLab/HGTector webcite。该程序用途广泛,易于部署,对计算资源的要求较低。结论HGTector是初始或独立大规模发现候选HGT衍生基因的有效工具。

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