寄生蜂DNA条形码研究进展与展望

doi:10.16409/j.cnki.2095-039x.2024.07.007

摘要/Abstract

摘要： 寄生蜂即寄生性膜翅目昆虫，是控制鳞翅目、半翅目等农林害虫暴发成灾的重要生物因子，在生物防治开发应用方面具有巨大潜力。DNA条形码技术，作为一种现代分子技术，已广泛应用于动植物生物学和生态学等领域，近年来在寄生蜂的分类鉴定和生态研究中发挥了重要的作用。通过回顾国内外有关文献，本文对当前在寄生蜂上已经使用的主要DNA条形码及其引物进行归纳总结，深入探讨了DNA条形码技术在寄生蜂的分类鉴定、新种/隐种识别、食物网关系分析以及系统发育研究中的应用。此外，本文还针对当前DNA条形码在寄生蜂研究中存在的问题进行分析，对DNA条形码的选择、系统发育模型的筛选以及高通量测序技术应用等关键问题方面提出了展望，旨在为寄生蜂资源挖掘、生物防治策略优化以及进化生物学研究提供理论参考。

关键词: 寄生蜂, DNA条形码, 物种鉴定, 食物网, 系统发育, 新种识别

Abstract: Parasitoid wasps play a crucial role in the biological control of agricultural and forestry pests, such as lepidoptera and hemiptera. They have significant potential for development and application in biological control strategies. DNA barcoding, a modern molecular technology widely used in animal and plant biology, ecology, and other fields, has emerged as an important tool for classifying parasitic wasps and conducting ecological research. This paper reviews relevant literature to summarize the primary DNA barcodes and primers utilized for parasitoid wasps. It also discusses the applications of DNA barcoding in taxonomic identification, detection of new or cryptic species, analysis of food web relationships, and phylogenetic research on parasitic wasps. Furthermore, this paper analyzes current challenges faced by DNA barcoding research on parasitic wasps while proposing prospects for key issues such as selecting appropriate DNA barcodes, screening suitable phylogenetic models, and utilizing high-throughput sequencing technology. The aim is to provide theoretical references for resource exploration of parasitic wasps, optimization of biological control strategies, and advancements in evolutionary biology.

Key words: parasitoid wasp, DNA barcoding, species identification, food web, phylogeny, new species identification

中图分类号:

S433

孙星星, 蒋颖洁, 王凡, 张礼生. 寄生蜂DNA条形码研究进展与展望[J]. 中国生物防治学报, 2025, 41(2): 473-491.

SUN Xingxing, JIANG Yingjie, WANG Fan, ZHANG Lisheng. Research Progress and Prospect of DNA Barcoding in Parasitoid Wasps[J]. Chinese Journal of Biological Control, 2025, 41(2): 473-491.

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