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The power of neuropeptide precursor sequences to reveal phylogenetic relationships in insects: A case study on Blattodea.
Molecular Phylogenetics and Evolution ( IF 3.6 ) Pub Date : 2019-11-15 , DOI: 10.1016/j.ympev.2019.106686
Marcel Bläser 1 , Bernhard Misof 2 , Reinhard Predel 1
Affiliation  

Recent state-of-the-art analyses in insect phylogeny have exclusively used very large datasets to elucidate higher-level phylogenies. We have tested an alternative and novel approach by evaluating the potential phylogenetic signals of identified and relatively short neuropeptide precursor sequences with highly conserved functional units. For that purpose, we examined available transcriptomes of 40 blattodean species for the translated amino acid sequences of 17 neuropeptide precursors. Recently proposed intra-ordinal relationships of Blattodea, based on the analysis of 2370 protein-coding nuclear single-copy genes (Evangelista et al., 2019), were corroborated with maximum support. The functionally different precursor units were analyzed separately for their phylogenetic information. Although the degree of information was different in the different sequence motifs, all precursor units contained phylogenetic informative data at the ordinal level, and their separate analysis did not reveal contradictory topologies. This study is the first comprehensive exploitation of complete neuropeptide precursor sequences of arthropods in such a context and demonstrates the applicability of these rather short but conserved sequences for an alternative, fast and simple analysis of phylogenetic relationships.

中文翻译:

神经肽前体序列揭示昆虫系统发育关系的能力:以Blattodea为例。

昆虫系统发育的最新技术分析已专门使用非常大的数据集来阐明更高级别的系统发育。我们已经通过评估具有高度保守的功能单元的已鉴定且相对较短的神经肽前体序列的潜在系统发生信号,测试了一种替代的新颖方法。为此,我们检查了40种blattodean物种的可用转录组中17种神经肽前体的翻译氨基酸序列。基于对2370种蛋白质编码核单拷贝基因的分析(Evangelista等人,2019),最近提出了Blattodea的内部关系(Evangelista等,2019),得到了最大的支持。对功能不同的前体单元分别进行了系统发育信息分析。尽管在不同序列基序中信息的程度不同,但是所有前体单元在序数级别上都包含系统发育信息数据,并且它们的单独分析没有揭示矛盾的拓扑。这项研究是在这种情况下对节肢动物完整神经肽前体序列的首次全面开发,并证明了这些相当短但保守的序列对于系统发生关系的替代,快速和简单分析的适用性。
更新日期:2019-11-18
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