The phylogeny and evolution of holometablolous insects (Endopterygota)

全变态昆虫（内翅目）的系统发育和进化

• 批准号: 19186361
• 负责人: Professor Dr. Rolf Georg Beutel
• 金额: --
• 依托单位: Johann-Friedrich-Blumenbach Institut für Zoologie und Anthropologie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2010-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/19186361?language=en
• 关键词: phylogeny; evolution; holometablolous; insects; Endopterygota

Endopterygote insects are not only the by far the most species rich group of animals, but also especially attractive for phylogenetic investigations as different life stages display largely independent character sets. Nevertheless, the phylogeny is not sufficiently clarified. The usefulness of the genes used in molecular studies is limited and morphological data matrices were mainly compiled from the literature and not well documented. The present project aims at the creation of a comprehensive data set, especially with characters, which were scarcely used previously or not studied sufficiently with a comparative approach (e.g., wing articulation, developmental characteristics). Emphasis is placed on careful and co-ordinated taxon sampling, innovative morphological techniques (e.g., x-ray microtomography) and on an innovative and detailed documentation of the characters. The data will be stored in a data bank with detailed information (and illustrations) for the character states entered in the matrix. Different cladistic analyses will be carried out (e.g., larval versus adult features) and the morphological characters will be combined with molecular data in co-operation with Prof. M. Whiting (Brigham Young University). The character evolution will be reconstructed and an evolutionary scenario will be developed based on the total evidence analyses.

内生昆虫不仅是迄今为止物种最丰富的动物群体，而且由于不同的生命阶段表现出很大程度上独立的特征集，对系统发育研究尤其有吸引力。然而，系统发育还没有得到充分的阐明。在分子研究中使用的基因的有用性是有限的，形态学数据矩阵主要是从文献中编译的，没有很好的记录。本项目的目的是建立一个全面的数据集，特别是以前很少使用或没有用比较方法充分研究的特征（例如，翅膀的衔接、发育特征）。重点放在仔细和协调的分类群采样，创新的形态学技术（例如，x射线显微断层扫描）和对字符的创新和详细的记录。数据将存储在数据库中，其中包含矩阵中输入的字符状态的详细信息（和插图）。与杨百翰大学的M. Whiting教授合作，将进行不同的分支分析（例如，幼虫与成虫的特征），并将形态学特征与分子数据结合起来。在全证据分析的基础上，重构人物演化过程，构建人物演化情景。