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Natural contaminants in bee pollen: DNA metabarcoding as a tool to identify floral sources of pyrrolizidine alkaloids and fungal diversity

机译:蜂花粉中的天然污染物:DNA地区作为鉴定吡咯烷生物碱和真菌多样性的花卉来源的工具

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The use of bee pollen as a food supplement has increased in recent years as it contains several nutrients and phytochemicals. However, depending on floral composition, bee pollen can be contaminated by pyrrolizidine alkaloids (PAs), PA N-oxides (PANOs) and toxigenic fungi found in plants, which may pose a potential health risk for consumers. Thus, a DNA metabarcoding approach based on internal transcribed spacer 2 (ITS2) region was used to identify the plant sources of 17 PAs/PANOs detected by a validated method in liquid chromatography coupled to mass spectrometry (LC-MS/MS), as well as floral and fungal diversity in 61 bee pollen samples. According to LC-MS/MS analysis, 67% of the samples contained PAs/PANOs with mean concentration of 339 & micro;g/ kg. The contamination pattern was characterised by lycopsamine- and senecionine-type PAs/PANOs. PA/PANOproducing plants were identified in 54% of the PA/PANO-contaminated samples analysed by DNA metabarcoding, which also allowed identifying the overall floral and fungal composition of 56 samples. To evaluate the performance of the molecular approach, a subset of 25 samples was analysed by classical palynology. Palynological analysis partially confirmed the results of DNA metabarcoding, which had a better performance in distinguishing pollens of different genera from Asteraceae (76%) and Brassicaceae (88%). However, the molecular analysis did not identify pollens from Castanea, Eucalyptus, Hedera and Salix, which were abundant in 11 samples according to palynology. On the other hand, the molecular analysis allowed identifying several fungal genera in 33 samples, including the toxigenic fungi Alternaria and Aspergillus, which were positively correlated to the plant genus Hypericum. Despite limitations in identifying some pollen types, these preliminary results suggest that the DNA metabarcoding could be applied in a multidisciplinary approach to give a picture of floral and fungal diversity, which can be sources of natural contaminants in bee pollen and would help to control its safety.
机译:近年来,蜜蜂花粉作为食品补充剂的使用随着含有几种营养素和植物化学品的增加而增加。然而,取决于花卉组合物,蜂花粉可以被植物中发现的吡咯烷类生物碱(PAS),PA N-氧化物(PANOS)和毒性真菌污染,这可能对消费者带来潜在的健康风险。因此,基于内部转录的间隔2(ITS2)区域的DNA成立方法用于鉴定通过液相色谱法中的验证方法检测到的17pas / panoS的植物来源,同时也是液相色谱法(LC-MS / MS)作为61蜂花粉样品中的花卉和真菌多样性。根据LC-MS / MS分析,67%的样品含有PAS / PANO,平均浓度为339和微量; G / kg。污染模式的特征在于Lycopsamine-和Senecionine型PAS / Panos。在DNA元建分析的PA / PANO污染样品的54%中鉴定了PA / panoproduct植物,这也允许鉴定56个样品的整体花香和真菌组成。为了评估分子方法的性能,通过经典的腭学分析了25个样本的子集。 Palynological分析部分证实了DNA成立的结果,其在区分不同包菌(76%)和Brassicaceae(88%)中区分不同属的花粉的性能更好。然而,分子分析不鉴定来自Castanea,桉树,HEDERA和SALIX的花粉,根据Phynology,这是11个样品中的丰富。另一方面,分子分析允许在33个样品中鉴定几种真菌属,包括毒性真菌alertaria和曲霉,它们与植物属植物属阳性相关。尽管暗示了识别一些花粉类型,但这些初步结果表明DNA地区可以以多学科方法应用,以展示花卉和真菌多样性的图片,这可以是蜂花粉中的天然污染物的来源,并有助于控制其安全性。

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