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Using DNA Metabarcoding to Identify the Floral Composition of Honey. A New Tool for Investigating Honey Bee Foraging Preferences

机译:使用DNA元条形码识别蜂蜜的花香成分。调查蜜蜂觅食偏好的新工具

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摘要

Identifying the floral composition of honey provides a method for investigating the plants that honey bees visit. We compared melissopalynology, where pollen grains retrieved from honey are identified morphologically, with a DNA metabarcoding approach using the rbcL DNA barcode marker and 454-pyrosequencing. We compared nine honeys supplied by beekeepers in the UK. DNA metabarcoding and melissopalynology were able to detect the most abundant floral components of honey. There was 92% correspondence for the plant taxa that had an abundance of over 20%. However, the level of similarity when all taxa were compared was lower, ranging from 22-45%, and there was little correspondence between the relative abundance of taxa found using the two techniques. DNA metabarcoding provided much greater repeatability, with a 64% taxa match compared to 28% with melissopalynology. DNA metabarcoding has the advantage over melissopalynology in that it does not require a high level of taxonomic expertise, a greater sample size can be screened and it provides greater resolution for some plant families. However, it does not provide a quantitative approach and pollen present in low levels are less likely to be detected. We investigated the plants that were frequently used by honey bees by examining the results obtained from both techniques. Plants with a broad taxonomic range were detected, covering 46 families and 25 orders, but a relatively small number of plants were consistently seen across multiple honey samples. Frequently found herbaceous species were Rubus fruticosus, Filipendula ulmaria, Taraxacum officinale, Trifolium spp., Brassica spp. and the non-native, invasive, Impatiens glandulifera. Tree pollen was frequently seen belonging to Castanea sativa, Crataegus monogyna and species of Malus, Salix and Quercus. We conclude that although honey bees are considered to be supergeneralists in their foraging choices, there are certain key species or plant groups that are particularly important in the honey bees environment. The reasons for this require further investigation in order to better understand honey bee nutritional requirements. DNA metabarcoding can be easily and widely used to investigate floral visitation in honey bees and can be adapted for use with other insects. It provides a starting point for investigating how we can better provide for the insects that we rely upon for pollination.
机译:鉴定蜂蜜的花​​香成分提供了一种调查蜜蜂所访植物的方法。我们比较了褪黑激素方法,该方法通过使用rbcL DNA条形码标记和454焦磷酸测序的DNA元条形码方法,从形态上鉴定了从蜂蜜中回收的花粉粒。我们比较了英国养蜂人提供的九种蜂蜜。 DNA metabarcoding和melissopalynology能够检测到蜂蜜中最丰富的花香成分。植物分类单元有92%的对应关系,其丰度超过20%。但是,比较所有分类单元时的相似度较低,在22-45%之间,并且使用这两种技术发现的分类单元的相对丰度之间几乎没有对应关系。 DNA元条形码提供了更高的可重复性,分类单元匹配率为64%,而黑粉病学为28%。 DNA metabarcoding与melissopalynology相比具有优势,因为它不需要高水平的分类学专业知识,可以筛选更大的样本量,并且为某些植物科提供更高的分辨率。但是,它没有提供定量方法,低水平的花粉被发现的可能性较小。通过研究从两种技术获得的结果,我们调查了蜜蜂经常使用的植物。检出的植物具有广泛的分类学范围,涵盖46个科和25个目,但在多个蜂蜜样品中一致观察到的植物数量相对较少。经常发现的草本物种是野果悬钩子(Rubus fruticosus),费氏纤毛(Filipendula ulmaria),蒲公英(Taraxacum officinale),白三叶属(Trifolium spp。),芸苔属(Brassica spp。)。以及非本地入侵的凤仙花(Impatiens glandulifera)。经常看到的树花粉属于栗树(Castanea sativa),山楂(Cretaegus monogyna)以及海棠属,柳属和栎属的种。我们得出的结论是,尽管蜜蜂在觅食选择中被视为超种,但某些关键物种或植物群在蜜蜂环境中尤为重要。其原因需要进一步调查,以便更好地了解蜜蜂的营养需求。 DNA metabarcoding可以轻松,广泛地用于调查蜜蜂的花访,并且可以与其他昆虫一起使用。它为研究如何更好地提供授粉所依赖的昆虫提供了起点。

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