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印度昆虫的 DNA 条形码:现状与未来展望。

DNA barcoding of insects from India: Current status and future perspectives.

机构信息

Division of Entomology, National Pusa Collection, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, India.

Central Integrated Pest Management Centre, Bhubaneshwar, Odisha, India.

出版信息

Mol Biol Rep. 2022 Nov;49(11):10617-10626. doi: 10.1007/s11033-022-07628-2. Epub 2022 Jun 18.

Abstract

Insect fauna occupy the largest proportion of animal biodiversity on earth, but the assessment or quantification in terms of species diversity is far from complete. Several recent studies have demonstrated the rapid pace at which insect population decline is occurring. There is an urgent need to document and quantify the diversity of insect fauna for a proper understanding of terrestrial ecosystems. This can be achieved by using modern technology to identify species much faster than relying on traditional methods alone. In line with this, the molecular approach through DNA barcoding coupled with morphological identification needs to be focused and accelerated. The present paper describes the current status of barcoding of insect species in India along with the gaps that need to be remedied. This analysis shows that barcoded specimens cover a very meagre proportion of less than 3.73% of the known taxa/described species and the most represented orders are Lepidoptera and Hemiptera followed by Diptera and Coleoptera. There is a need to expedite insect species discovery and documentation in a collaborative mode between traditional taxonomists and molecular biologists, to accomplish the DNA barcoding of all known insect taxa from India.

摘要

昆虫区系在地球上占据了动物生物多样性的最大比例,但在物种多样性方面的评估或量化还远远不够。最近的几项研究表明,昆虫种群的减少速度正在迅速加快。迫切需要记录和量化昆虫区系的多样性,以便对陆地生态系统有一个恰当的了解。这可以通过使用现代技术来识别物种来实现,其速度比仅依靠传统方法要快得多。与此一致的是,需要集中和加速通过 DNA 条形码与形态鉴定相结合的分子方法。本文描述了印度昆虫物种条形码的现状以及需要弥补的差距。分析表明,条形码标本仅占已知分类群/已描述物种的不到 3.73%,代表性最强的目是鳞翅目和半翅目,其次是双翅目和鞘翅目。需要加快传统分类学家和分子生物学家之间的协作模式的昆虫物种发现和记录,以完成印度所有已知昆虫分类群的 DNA 条形码。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a0f/9206398/222279f75e51/11033_2022_7628_Fig1_HTML.jpg

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