建立可靠的欧西塔尼亚野生蜜蜂16S迷你条码库。

IF 1 4区 环境科学与生态学 Q3 BIODIVERSITY CONSERVATION Biodiversity Data Journal Pub Date : 2025-01-07 eCollection Date: 2025-01-01 DOI:10.3897/BDJ.12.e137540
Anaïs Marquisseau, Kamila Canale-Tabet, Emmanuelle Labarthe, Géraldine Pascal, Christophe Klopp, André Pornon, Nathalie Escaravage, Rémi Rudelle, Alain Vignal, Annie Ouin, Mélodie Ollivier, Magalie Pichon
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引用次数: 0

摘要

背景:DNA条形码和元条形码是研究生物多样性的有力工具,特别是对不同分类类群的大量样本进行准确鉴定。他们的成功很大程度上取决于用作条形码的DNA序列的分类分辨率和参考数据库的可靠性。对于野生蜜蜂来说,条形码序列的覆盖范围在不断扩大,但一些不正确的物种注释需要注意。细胞色素氧化酶亚基1 (Cytochrome Oxydase subunit 1)基因是节肢动物条形码/元条形码中使用最多的基因,但它存在引物偏倚,使用经典的Folmer引物难以覆盖所有野生蜜蜂物种。新信息:我们在此提出了一个16S rRNA基因250 bp迷你条形码区域的数据库,适用于低成本元条形码野生蜜蜂的应用,如eDNA分析或测序古老或降解的DNA。在法国西南部的Occitania捕获了经过测序的标本,经昆虫学家形态学鉴定,共有530只,隶属于19属171种。一个定制的工作流程,包括距离树推断和第二轮昆虫学家观察,必要时,用于验证覆盖148个物种的348个迷你条形码。其中93个物种在我们贡献之前没有任何16S参考条形码。这些高质量的参考图书馆数据免费提供给科学界,目的是在传粉媒介减少的背景下促进未来野生蜜蜂群落的大规模特征。
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Building a reliable 16S mini-barcode library of wild bees from Occitania, south-west of France.

Background: DNA barcoding and metabarcoding are now powerful tools for studying biodiversity and especially the accurate identification of large sample collections belonging to diverse taxonomic groups. Their success depends largely on the taxonomic resolution of the DNA sequences used as barcodes and on the reliability of the reference databases. For wild bees, the barcode sequences coverage is consistently growing in volume, but some incorrect species annotations need to be cared for. The COI (Cytochrome Oxydase subunit 1) gene, the most used in barcoding/metabarcoding of arthropods, suffers from primer bias and difficulties for covering all wild bee species using the classical Folmer primers.

New information: We present here a curated database for a 250 bp mini-barcode region of the 16S rRNA gene, suitable for low-cost metabarcoding wild bees in applications, such as eDNA analysis or for sequencing ancient or degraded DNA. Sequenced specimens were captured in Occitania (south-west of France) and morphologically identified by entomologists, with a total of 530 individuals belonging to 171 species and 19 genera. A customised workflow including distance-tree inferences and a second round of entomologist observations, when necessary, was used for the validation of 348 mini-barcodes covering 148 species. Amongst them, 93 species did not have any 16S reference barcode available before our contribution. This high-quality reference library data are freely available to the scientific community, with the aim of facilitating future large-scale characterisation of wild bee communities in a context of pollinators' decline.

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来源期刊
Biodiversity Data Journal
Biodiversity Data Journal Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
2.20
自引率
7.70%
发文量
283
审稿时长
6 weeks
期刊介绍: Biodiversity Data Journal (BDJ) is a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – will be treated and stored as DATA, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers. The journal will publish papers in biodiversity science containing taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data on any taxon of any geological age from any part of the world with no lower or upper limit to manuscript size.
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