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构建新西兰膜翅目昆虫的DNA条形码参考数据集。

Building a DNA barcode reference collection of Hymenoptera in New Zealand.

作者信息

Ward Darren F

机构信息

New Zealand Arthropod Collection (NZAC) - Landcare Research, Auckland, New Zealand New Zealand Arthropod Collection (NZAC) - Landcare Research Auckland New Zealand.

School of Biological Sciences, University of Auckland, Auckland, New Zealand School of Biological Sciences, University of Auckland Auckland New Zealand.

出版信息

Biodivers Data J. 2024 Sep 26;12:e131701. doi: 10.3897/BDJ.12.e131701. eCollection 2024.

DOI:10.3897/BDJ.12.e131701
PMID:39371081
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11450381/
Abstract

Molecular tools used for the identification of species are heavily reliant on reference DNA sequences and taxonomic annotation. Despite this, there are large gaps in the availability of DNA sequences for many taxonomic groups and for different parts of the globe. Here, a DNA barcode library for the Hymenoptera of New Zealand is presented, based on the COI region for 3,145 sequences assigned to 837 BINs and which represent 231 genera and 236 species. This study provides a DNA barcode for approximately 25% of species and 42% of genera of Hymenoptera in New Zealand. However, when combined with sequences previously deposited in BOLD (a further 170 genera), DNA barcodes are available for 73% of New Zealand Hymenopteran genera. To further increase coverage, future efforts need to focus predominantly on taxa from seven families (Encyrtidae, Pteromalidae s.l., Mymaridae, Eulophidae, Diapriidae, Braconidae and Platygastridae). This database facilitates DNA-based identification of taxa for use in both taxonomic revisions and biodiversity monitoring.

摘要

用于物种鉴定的分子工具严重依赖参考DNA序列和分类注释。尽管如此,许多分类群以及全球不同地区的DNA序列可用性仍存在很大差距。在此,我们展示了一个新西兰膜翅目昆虫的DNA条形码文库,该文库基于细胞色素氧化酶亚基I(COI)区域,包含3145条序列,这些序列被归入837个生物条形码索引号(BINs),代表231个属和236个物种。这项研究为新西兰约25%的膜翅目物种和42%的膜翅目属提供了DNA条形码。然而,当与先前保存在生物条形码在线数据库(BOLD)中的序列(另外170个属)相结合时,73%的新西兰膜翅目属都有了DNA条形码。为了进一步扩大覆盖范围,未来的工作需要主要集中在七个科(跳小蜂科、广肩小蜂科、缘腹细蜂科、姬小蜂科、潜蝇茧蜂科、茧蜂科和扁股小蜂科)的分类单元上。该数据库有助于基于DNA的分类单元鉴定,可用于分类修订和生物多样性监测。