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A New Orthology Assessment Method for Phylogenomic Data: Unrooted Phylogenetic Orthology

机译:一种新的系统发育数据正字评估方法:无根系统发育正字学

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摘要

Current sequencing technologies are making available unprecedented amounts of genetic data for a large variety of species including nonmodel organisms. Although many phylogenomic surveys spend considerable time finding orthologs from the wealth of sequence data, these results do not transcend the original study and after being processed for specific phylogenetic purposes these orthologs do not become stable orthology hypotheses. We describe a procedure to detect and document the phylogenetic distribution of orthologs allowing researchers to use this information to guide selection of loci best suited to test specific evolutionary questions. At the core of this pipeline is a new phylogenetic orthology method that is neither affected by the position of the root nor requires explicit assignment of outgroups. We discuss the properties of this new orthology assessment method and exemplify its utility for phylogenomics using a small insects dataset. In addition, we exemplify the pipeline to identify and document stable orthologs for the group of orb-weaving spiders (Araneoidea) using RNAseq data. The scripts used in this study, along with sample files and additional documentation, are available at https://github.com/ballesterus/UPhO.
机译:目前的测序技术正在为包括非模式生物在内的多种物种提供前所未有的遗传数据。尽管许多系统发育调查花费了大量时间从丰富的序列数据中寻找直系同源物,但这些结果并没有超越原始研究,并且在为特定的系统发育目的进行处理后,这些直系同源物并没有成为稳定的正源学假设。我们描述了一种检测和记录直系同源物系统发育分布的程序,使研究人员能够利用这些信息来指导选择最适合测试特定进化问题的位点。该管道的核心是一种新的系统发育正字学方法,它既不受根位置的影响,也不需要明确分配外群。我们讨论了这种新的正字评估方法的特性,并使用小型昆虫数据集举例说明了其在系统发育学中的效用。此外,我们举例说明了使用 RNAseq 数据识别和记录球形编织蜘蛛群 (Araneoidea) 的稳定直系同源物的管道。本研究中使用的脚本以及示例文件和其他文档可在 https://github.com/ballesterus/UPhO 上获得。

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