本项目拟在藏东南及其东部毗邻地区，采用马来氏网、饲养、彩盘诱集等多种方法，获取大量标本。在形态初步鉴定的基础上，通过分子条形码技术来鉴定藏东南及其毗邻地区姬小蜂亚科物种，探讨加速昆虫分类的方案。选取部分族、属代表样品，获取多基因片段和转录组数据集，建立大数据整合和分析的信息处理流程和平台。研究多个基因片段用于物种界定的理论与方法。通过重构姬小蜂亚科族、属、物种之间的系统发育关系，研究目前比较尚待深入研究的Elachertini、Cirrospilini、Elasmini的位置问题。这不仅可以获得较为稳定的系谱关系，也将促进国内利用大型数据构建动物系统发育关系的研究进展。 本项目预期将促进对该地区姬小蜂物种多样性和天敌区系的研究，也将有助于对该类天敌物种的保护、开发和利用。

This project aims to collect large amount of specimens of Eulophinae from southeast part of Tibet and its adjacent regions. Basing on preliminary morphological identification results, we will identify these morphospecies with DNA Barcoding technology and speed up taxonomy. Some representative samples of tribes, genera and species will be selected to sequence multiple loci and transcriptome data for large datasets. We will try to set up a platform and protocol to process above datasets and study theories and methodologies in species delimitation. Through reconstruction of phylogenetic relationships between tribes, genera and species, we will study taxa including Elachertini, Cirrospilini, Elasmini yet to determine. Large datasets help not only robust phylogenies, but also understanding and conceiving original algorithms and methodologies for big trees. We expect to study and understand better species diversity and fauna of Eulophinae in above regions. This will facilitate the conservation, exploitation and application of natural enemies.