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用于追踪蜂蜜的花源和地理来源的环境DNA代谢条形码技术

Metabarcoding of eDNA for tracking the floral and geographical origins of bee honey.

作者信息

Pathiraja Duleepa, Cho Junghwan, Kim Junsung, Choi In-Geol

机构信息

Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.

Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.

出版信息

Food Res Int. 2023 Feb;164:112413. doi: 10.1016/j.foodres.2022.112413. Epub 2022 Dec 29.

Abstract

Authentic honey products have a high commercial value and are often falsified via adulteration. Metabarcoding of environmental DNA (eDNA) from bacterial, floral, and entomological sources has recently been proposed as a useful tool for identifying and authenticating floral and geographical origins of bee honey. In this study, eDNA metabarcoding was applied to reveal the bacterial, plant, and honey bee DNA signatures of 48 commercial honey products from six different geographical origins. Bacterial DNA composition in commercial honey showed different relative abundance of Paenibacillus and Bacillus in geographically different samples, and high abundance of Methylobacterium in chestnut honey implying potential use of bacterial DNA composition for honey authentication. Using the chloroplast trnL (UAA) as a DNA marker, floral origins of commercial honey were investigated. Based on floral DNA signatures, 12 monofloral honey samples were identified among the 45 samples tested. Targeted amplicon sequencing of cytochrome oxidase I (COI) gene from entomological DNA identified three different Apis mellifera sequence variants, specific to geographic origin of honey, suggesting that COI can be implemented as a DNA marker to trace the origin of honey. Therefore, the current study demonstrated the potential of eDNA based metabarcoding as a robust tool for evaluating commercial bee honey by exploring their floral and geographical origins.

摘要

正宗蜂蜜产品具有很高的商业价值,常被掺假伪造。最近有人提出,对来自细菌、花卉和昆虫来源的环境DNA(eDNA)进行代谢条形码分析,可作为识别和鉴定蜂蜜花卉和地理来源的有用工具。在本研究中,应用eDNA代谢条形码分析来揭示48种来自六个不同地理来源的商业蜂蜜产品的细菌、植物和蜜蜂DNA特征。商业蜂蜜中的细菌DNA组成在地理上不同的样本中显示出不同的芽孢杆菌属和芽孢杆菌相对丰度,而在栗树蜂蜜中甲基杆菌属丰度较高,这意味着细菌DNA组成在蜂蜜鉴定中具有潜在用途。以叶绿体trnL(UAA)作为DNA标记,对商业蜂蜜的花卉来源进行了研究。根据花卉DNA特征,在45个测试样本中鉴定出12个单花蜂蜜样本。对昆虫DNA中细胞色素氧化酶I(COI)基因进行靶向扩增子测序,鉴定出三种不同的意大利蜜蜂序列变体,它们特定于蜂蜜的地理来源,这表明COI可作为一种DNA标记来追踪蜂蜜的来源。因此,本研究通过探索商业蜂蜜的花卉和地理来源,证明了基于eDNA的代谢条形码分析作为评估商业蜂蜜的强大工具的潜力。

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