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A Phylogenomic Approach to Clarifying the Relationship of Mesodinium within the Ciliophora: A Case Study in the Complexity of Mixed-Species Transcriptome Analyses

机译:阐明纤毛虫中次生金属间关系的系统研究方法:以混合物种转录组分析的复杂性为例

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摘要

Recent high-throughput sequencing endeavors have yielded multigene/protein phylogenies that confidently resolve several inter- and intra-class relationships within the phylum Ciliophora. We leverage the massive sequencing efforts from the Marine Microbial Eukaryote Transcriptome Sequencing Project, other SRA submissions, and available genome data with our own sequencing efforts to determine the phylogenetic position of and to generate the most taxonomically rich phylogenomic ciliate tree to date. Regardless of the data mining strategy, the multiprotein data set, or the molecular models of evolution employed, we consistently recovered the same well-supported relationships among ciliate classes, confirming many of the higher-level relationships previously identified. always formed a monophyletic group with members of the Litostomatea, with mixotrophic species of — , , and —being more closely related to each other than to the heterotrophic member, . The well-supported position of as sister to other litostomes contrasts with previous molecular analyses including those from phylogenomic studies that exploited the same transcriptomic databases. These topological discrepancies illustrate the need for caution when mining mixed-species transcriptomes and indicate that identifying ciliate sequences among prey contamination—particularly for species where expression from stolen prey nuclei appears to dominate—requires thorough and iterative vetting with phylogenies that incorporate sequences from a large outgroup of prey.
机译:最近的高通量测序工作已经产生了多基因/蛋白质系统发育,可以可靠地解决纤毛门内的几种类间和类内关系。我们利用海洋微生物真核生物转录组测序项目,其他SRA提交的大量测序工作以及我们自己的测序工作来确定可用的基因组数据,以确定其系统发生位置,并生成迄今为止分类学上最丰富的系统生物学纤毛树。无论采用何种数据挖掘策略,采用多蛋白数据集还是采用分子进化模型,我们都始终如一地在纤毛虫类之间恢复了同样得到良好支持的关系,从而确认了先前确定的许多更高层次的关系。总是与Litostomatea的成员组成一个单系群,其中-,和-的混合营养种彼此之间的联系比与异养性成员密切相关。作为其他同组的姐妹,受到良好支持的立场与以前的分子分析形成了鲜明对比,其中包括来自利用相同转录组数据库进行的植物遗传学研究的分子分析。这些拓扑差异说明在挖掘混合物种转录组时需要谨慎,并指出要在猎物污染中识别纤毛虫序列(尤其是对于那些以被盗猎物核表达为主的物种),需要彻底且反复地审查系统发育,并结合来自大型物种的序列猎物群。

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