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Advances in Diapriid (Hymenoptera: Diapriidae) systematics, with contributions to cybertaxonomy and the analysis ofrRNA sequence data .

机译:Diapriid(膜翅目:Diapriidae)系统学的进展,对网络分类学和rRNA序列数据的分析做出了贡献。

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摘要

Diapriids (Hymenoptera: Diapriidae) are small parasitic wasps. Though found throughout the world they are relatively unknown. A framework for advancing diapriid systematics is developed by introducing a new web-based application/database capable of storing a broad range of systematic data, and the first molecular phylogeny specifically focused at examining intrafamilial relationships. In addition to these efforts, a description of a new taxon is provided. Several advantages of digital description, including linking descriptions to an ontology of morphological terms, are highlighted. The functionality of the database is further illustrated in the production of a catalog of diapriid host associations. The hosts database currently holds over 450 association records, for over 500 named taxa (parasitoids and hosts), and over 180 references. Diapriids are found to be primarily endoparasitoids of Diptera emerging from the host pupa. Phylogenetic inference for a molecular dataset of 28S and 18S rRNA sequence data, derived from a diverse selection of diapriids, is accomplished with a new suite of tools developed for handling complex rRNA datasets. Several parsimony-based methodologies, including an alignment-free method of analyzing multiple sequences, are reviewed and applied using the new software tools. Diapriid phylogenetic relationships are shown to be broadly congruent with existing morphology-based classifications. Methods for analyzing typically excluded sequence data are shown to recover phylogenetic signal that would otherwise be lost and the alignment-free method performed remarkably well in this regard. Empirically, phylogenetic approaches that incorporate structural data were not notably different than those that did not.
机译:pri虫(膜翅目:Dia科)是小的寄生黄蜂。尽管在世界范围内都可以找到它们,但相对来说还是未知数。通过引入一种新的基于Web的应用程序/数据库来开发推进神经系统学的框架,该应用程序/数据库能够存储广泛的系统数据,并且第一个分子系统发育学专门研究家族内的关系。除了这些工作之外,还提供了新分类单元的描述。突出了数字描述的几个优点,包括将描述链接到形态学术语的本体。该数据库的功能在生成双主机宿主关联的目录中进一步说明。主机数据库目前拥有450多个关联记录,包含500多个命名分类单元(寄生生物和主机),以及180多个引用。发现蛇管藤主要是从宿主中出现的双翅目内寄生物。系统开发了28D和18S rRNA序列数据的分子数据集的分子系统学推论,该分子数据是从泛虫类药物中选择的,它是通过开发一套用于处理复杂rRNA数据集的新工具来完成的。使用新的软件工具审查并应用了几种基于简约的方法,包括分析多个序列的无比对方法。显示双齿蛇的系统发生关系与现有基于形态学的分类大致一致。显示了用于分析通常排除的序列数据的方法,以恢复原本会丢失的系统发生信号,并且在这方面,无比对方法的执行效果非常好。根据经验,结合结构数据的系统发育方法与未结合的方法没有显着差异。

著录项

  • 作者

    Yoder, Matthew Jon.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Biology Entomology.;Biology Bioinformatics.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 195 p.
  • 总页数 195
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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