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基于 DNA 条形码的瓢虫(鞘翅目:瓢虫科)综合分类框架。

An integrative DNA barcoding framework of ladybird beetles (Coleoptera: Coccinellidae).

机构信息

Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm; Department of Forest Protection, College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510640, China.

Key Laboratory of Bio-Pesticide Innovation and Application, Guangdong Province; Engineering Technology Research Center of Agricultural Pest Biocontrol, Guangdong Province, Engineering Research Center of Biological Control, Ministry of Education, Guangzhou, 510640, China.

出版信息

Sci Rep. 2020 Jun 22;10(1):10063. doi: 10.1038/s41598-020-66874-1.

Abstract

Even though ladybirds are well known as economically important biological control agents, an integrative framework of DNA barcoding research was not available for the family so far. We designed and present a set of efficient mini-barcoding primers to recover full DNA barcoding sequences for Coccinellidae, even for specimens collected 40 years ago. Based on these mini-barcoding primers, we obtained 104 full DNA barcode sequences for 104 species of Coccinellidae, in which 101 barcodes were newly reported for the first time. We also downloaded 870 COI barcode sequences (658 bp) from GenBank and BOLD database, belonging to 108 species within 46 genera, to assess the optimum genetic distance threshold and compare four methods of species delimitation (GMYC, bPTP, BIN and ABGD) to determine the most accurate approach for the family. The results suggested the existence of a 'barcode gap' and that 3% is likely an appropriate genetic distance threshold to delimit species of Coccinellidae using DNA barcodes. Species delimitation analyses confirm ABGD as an accurate and efficient approach, more suitable than the other three methods. Our research provides an integrative framework for DNA barcoding and descriptions of new taxa in Coccinellidae. Our results enrich DNA barcoding public reference libraries, including data for Chinese coccinellids. This will facilitate taxonomic identification and biodiversity monitoring of ladybirds using metabarcoding.

摘要

尽管瓢虫作为具有重要经济意义的生物防治剂而广为人知,但迄今为止,还没有针对瓢虫科的综合 DNA 条形码研究框架。我们设计并提出了一套有效的迷你条形码引物,以恢复瓢虫科的完整 DNA 条形码序列,即使是 40 年前采集的标本也可以。基于这些迷你条形码引物,我们获得了 104 种瓢虫科的 104 个完整 DNA 条形码序列,其中 101 个条形码是首次报告。我们还从 GenBank 和 BOLD 数据库下载了 870 个 COI 条形码序列(658bp),属于 46 个属的 108 个种,以评估最佳遗传距离阈值,并比较 4 种物种界定方法(GMYC、bPTP、BIN 和 ABGD),以确定该科最准确的方法。结果表明存在“条形码间隙”,使用 DNA 条形码界定瓢虫科物种的合适遗传距离阈值可能为 3%。物种界定分析证实 ABGD 是一种准确有效的方法,比其他三种方法更适合。我们的研究为瓢虫科的 DNA 条形码和新分类群的描述提供了一个综合框架。我们的结果丰富了 DNA 条形码公共参考文库,包括中国瓢虫的数据。这将有助于使用代谢条形码进行瓢虫的分类鉴定和生物多样性监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d324/7308296/5b054253554a/41598_2020_66874_Fig1_HTML.jpg

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