A novel approach in biological systematics: Phylogenetic analysis of Polyneoptera (Hexapoda, Insecta) based on neuropeptide sequences

生物系统学的一种新方法：基于神经肽序列的多新翅目（六足纲、昆虫纲）系统发育分析

基本信息

批准号：
249768800
负责人：
Professor Dr. Reinhard Predel
金额：
--
依托单位：
Institut für Zoologie und Evolutionsforschung
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2013
资助国家：
德国
起止时间：
2012-12-31 至 2020-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/249768800?language=en
关键词：
novel approach biological systematics Phylogenetic

项目摘要

Neuropeptides are the structurally most diverse messenger molecules in the nervous and hormone system of Metazoa. Due to the interdependence of neuropeptides and their specific receptors, most amino acid substitutions become prevalent only if the respective receptor sequences co-evolve. Such evolutionary adaptations are very rare. This is why established amino acid substitutions in neuropeptides can be phylogenetically very informative. Using MALDI-TOF mass spectrometry, we could show that extensive sequencing of neuropeptides from single insects is fast and reproducible (High Speed Species Analysis). With the current project we extend this mass spectrometric approach. The focus of interest is to which extent neuropeptide data are suitable for studying the phylogenetic relationships of species-rich higher taxa within Hexapoda. For that purpose we will study neuropeptides of Polyneoptera (Insecta), which continue to be the subject of controversial phylogenetic discussion, and analyze the most extensive dataset on neuropeptides ever compiled for Metazoa. The project proposal contains two parts. The first subproject aims at mass spectrometric sequencing and the phylogenetic analyses of neuropeptide sequences. For the first time, we incorporate multiple neuropeptide copies on a large scale. In the second subproject, current datasets from other sequencing projects (e. g. 1KITE, genome projects) will be analyzed and used for the identification of of neuropeptide genes. Incomplete EST sequences of neuropeptide genes will be completed (cloned) to determine the position of multiple neuropeptide copies within the precursor sequences. These experiments have a direct impact on subproject 1 because they ensure a correct alignment of neuropeptide copies between distantly related taxa. Our taxon sampling is guided by the taxon sampling of the 1KITE project; the incorporation of own sequence data in data sets of other groups is planned (total evidence trees). It is also expected that data from the second subproject allow, for the first time, a very detailed analysis of the evolution and diversification of neuropeptide precursors with multiple peptide copies.

神经肽是多种神经和激素系统中的结构上最多样化的信使分子。由于神经肽及其特定受体的相互依赖性，只有当相应的受体序列共进化时，大多数氨基酸取代才变得普遍。这种进化适应非常罕见。这就是为什么在神经肽中建立的氨基酸取代可以在系统发育上非常有用。使用MALDI-TOF质谱法，我们可以表明，从单昆虫中对神经肽进行广泛的测序是快速且可重复的（高速物种分析）。通过当前项目，我们扩展了这种质谱方法。感兴趣的重点是神经肽数据在哪种程度上适合研究六磷中物种富含较高分类单元的系统发育关系。为这个目的，我们将研究多酰翅目（昆虫）的神经肽，这些神经肽继续是有争议的系统发育讨论的主题，并分析了有史以来为后生动物编译的神经肽最广泛的数据集。该项目提案包含两个部分。第一个次要注射的目的是质谱测序和神经肽序列的系统发育分析。我们首次大规模合并多个神经肽拷贝。在第二个子项目中，将分析其他测序项目的当前数据集（例如1Kite，基因组项目），并用于鉴定神经肽基因的识别。神经肽基因的不完整序列将完成（克隆），以确定多个神经肽拷贝在前体序列中的位置。这些实验对亚第1个的直接影响，因为它们确保在远距离相关类群之间正确对齐神经肽拷贝。我们的分类单元抽样是由1kite项目的分类单元抽样指导的；计划将自己的序列数据纳入其他组的数据集（总证据树）。还可以预期，第二次次要标记的数据首次允许对具有多个肽拷贝的神经肽前体的演变和多样化进行非常详细的分析。