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花粉DNA宏条形码技术鉴定澳大利亚蜂蜜的产地来源和植物多样性

Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey.

作者信息

Milla Liz, Sniderman Kale, Lines Rose, Mousavi-Derazmahalleh Mahsa, Encinas-Viso Francisco

机构信息

Centre for Australian National Biodiversity Research CSIRO Canberra ACT Australia.

School of Earth Sciences The University of Melbourne Melbourne Vic. Australia.

出版信息

Ecol Evol. 2021 Jun 3;11(13):8683-8698. doi: 10.1002/ece3.7679. eCollection 2021 Jul.

Abstract

Accurate identification of the botanical components of honey can be used to establish its geographical provenance, while also providing insights into honeybee ( L.) diet and foraging preferences. DNA metabarcoding has been demonstrated as a robust method to identify plant species from pollen and pollen-based products, including honey. We investigated the use of pollen metabarcoding to identify the floral sources and local foraging preferences of honeybees using 15 honey samples from six bioregions from eastern and western Australia. We used two plant metabarcoding markers, ITS2 and the trnL P6 loop. Both markers combined identified a total of 55 plant families, 67 genera, and 43 species. The trnL P6 loop marker provided significantly higher detection of taxa, detecting an average of 15.6 taxa per sample, compared to 4.6 with ITS2. Most honeys were dominated by and other Myrtaceae species, with a few honeys dominated by (Proteaceae) and Fabaceae. Metabarcoding detected the nominal primary source provided by beekeepers among the top five most abundant taxa for 85% of samples. We found that eastern and western honeys could be clearly differentiated by their floral composition, and clustered into bioregions with the trnL marker. Comparison with previous results obtained from melissopalynology shows that metabarcoding can detect similar numbers of plant families and genera, but provides significantly higher resolution at species level. Our results show that pollen DNA metabarcoding is a powerful and robust method for detecting honey provenance and examining the diet of honeybees. This is particularly relevant for hives foraging on the unique and diverse flora of the Australian continent, with the potential to be used as a novel monitoring tool for honeybee floral resources.

摘要

准确鉴定蜂蜜的植物成分可用于确定其地理来源,同时还能深入了解蜜蜂的饮食和觅食偏好。DNA宏条形码技术已被证明是一种从花粉和基于花粉的产品(包括蜂蜜)中鉴定植物物种的可靠方法。我们使用来自澳大利亚东部和西部六个生物区域的15个蜂蜜样本,研究了花粉宏条形码技术在鉴定蜜蜂的花源和当地觅食偏好方面的应用。我们使用了两种植物宏条形码标记,ITS2和trnL P6环。两种标记结合共鉴定出55个植物科、67个属和43个物种。与ITS2平均每个样本检测到4.6个分类群相比,trnL P6环标记检测到的分类群数量显著更高,平均每个样本检测到15.6个分类群。大多数蜂蜜以桃金娘科和其他桃金娘科物种为主,少数蜂蜜以山龙眼科和豆科为主。宏条形码技术在85%的样本中检测到养蜂人提供的标称主要来源位列最丰富的五个分类群之中。我们发现,东部和西部的蜂蜜可以通过其花的组成明显区分开来,并且使用trnL标记可聚类到生物区域。与之前从蜂蜜花粉学获得的结果相比,宏条形码技术可以检测到相似数量的植物科和属,但在物种水平上提供了显著更高的分辨率。我们的结果表明,花粉DNA宏条形码技术是一种检测蜂蜜来源和研究蜜蜂饮食的强大而可靠的方法。这对于在澳大利亚大陆独特多样的植物群上觅食的蜂箱尤为重要,有可能用作蜜蜂花源资源的新型监测工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d5c/8258210/884f6a9a8cb7/ECE3-11-8683-g002.jpg

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