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基于COI基因条形码技术评估欧洲蜂蜜中蜜蜂来源的新方法

COI Metabarcoding as a Novel Approach for Assessing the Honey Bee Source of European Honey.

作者信息

Honrado Mónica, Quaresma Andreia, Henriques Dora, Pinto M Alice, Amaral Joana S

机构信息

CIMO, LA SusTEC, Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal.

LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.

出版信息

Foods. 2025 Jan 27;14(3):419. doi: 10.3390/foods14030419.

Abstract

Honey is a widely consumed food product frequently subjected to adulteration, with the mislabeling of its botanical or geographical origin being one of the most common practices. Determining the entomological origin of honey is particularly challenging but of high relevance for ensuring its authenticity, especially for products with protected designation of origin (PDO) labels. This study presents a novel DNA metabarcoding approach targeting a highly informative 406 bp fragment of the cytochrome c oxidase I (COI) gene to differentiate among the three major mitochondrial lineages (A, M, and C) of honey bees ( L.) native to Europe. The target region was selected based on the calculated fixation index (F), which is frequently used in Population Genetics as a measure of differentiation between populations. The approach was validated with 11 honey samples of known entomological origin and applied to 44 commercial honeys from 13 countries. The approach demonstrated high sensitivity, accurately identifying the entomological origin of honey, including samples produced by honey bees of varying ancestries, which could not be resolved by previous methods based on real-time PCR coupled with high-resolution melting (PCR-HRM) analysis. The results demonstrate the effectiveness of COI metabarcoding in verifying honey authenticity and highlight the predominance of C-lineage honey bees in the production of commercial honeys from northwestern Europe. This finding suggests a limited presence of the native M-lineage ancestry, underscoring the need for conservation efforts.

摘要

蜂蜜是一种广泛消费的食品,经常受到掺假的影响,其中对其植物或地理来源的错误标注是最常见的做法之一。确定蜂蜜的昆虫学来源特别具有挑战性,但对于确保其真实性至关重要,尤其是对于带有受保护地理标志(PDO)标签的产品。本研究提出了一种新颖的DNA宏条形码方法,该方法针对细胞色素c氧化酶I(COI)基因的一个信息量丰富的406 bp片段,以区分欧洲本土蜜蜂(西方蜜蜂)的三个主要线粒体谱系(A、M和C)。目标区域是根据计算出的固定指数(F)选择的,固定指数在群体遗传学中经常用作衡量群体间分化的指标。该方法用11个已知昆虫学来源的蜂蜜样本进行了验证,并应用于来自13个国家的44种商业蜂蜜。该方法显示出高灵敏度,能够准确识别蜂蜜的昆虫学来源,包括由不同祖先的蜜蜂生产的样本,而之前基于实时PCR结合高分辨率熔解(PCR-HRM)分析的方法无法区分这些样本。结果证明了COI宏条形码在验证蜂蜜真实性方面的有效性,并突出了C谱系蜜蜂在西北欧商业蜂蜜生产中的主导地位。这一发现表明本土M谱系祖先的存在有限,强调了保护工作的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/951f/11816727/32d90ddeeb2c/foods-14-00419-g001.jpg

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