A DNA barcoding approach to characterize pollen collected by honeybees.

A DNA barcoding approach to characterize pollen collected by honeybees.
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DOI:
10.1371/journal.pone.0109363
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Labra M
Labra M
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Galimberti A;De Mattia F;Bruni I;Scaccabarozzi D;Sandionigi A;Barbuto M;Casiraghi M;Labra M

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在本研究中,我们研究了DNA条形码的有效性,以表征蜜蜂花粉颗粒,一种食品补充剂,主要用于人类营养,由于其治疗特性。我们收集花粉球使用修改蜂箱放置在三个区域内的高山保护区(Grigna Settentrionale地区公园,意大利)。一个DNA条形码参考数据库,包括rbcL和trnH-psbA序列从693种植物(104测序在这项研究中)组装。该数据库用于识别从蜂巢收集的花粉。在分子水平上鉴定了52种植物。结果表明,rbcL单独不能区分同属植物,然而,psbA-trnH确定了大部分的花粉样品在物种水平上。花粉组成的最高海拔的地方(阿尔卑斯Moconodeno),其特点是干旱草原和岩石基板,和其他两个网站(Cornisella和Ortanella)在较低的海拔之间观察到很大的变化。Ortanella和Cornisella的花粉表明存在典型的落叶林物种,但在Ortanella收集的样本中,观察到入侵的日本天竺葵和观赏天竺葵x hortorum的花粉。我们的结果表明花粉组成在很大程度上受到当地植物区系生物多样性、植物物候和外来开花物种的存在的影响。因此,基于DNA条形码的花粉分子表征可能有助于养蜂人获得具有食品市场需求所需的特定营养或治疗特性的蜜蜂产品。
In the present study, we investigated DNA barcoding effectiveness to characterize honeybee pollen pellets, a food supplement largely used for human nutrition due to its therapeutic properties. We collected pollen pellets using modified beehives placed in three zones within an alpine protected area (Grigna Settentrionale Regional Park, Italy). A DNA barcoding reference database, including rbcL and trnH-psbA sequences from 693 plant species (104 sequenced in this study) was assembled. The database was used to identify pollen collected from the hives. Fifty-two plant species were identified at the molecular level. Results suggested rbcL alone could not distinguish among congeneric plants; however, psbA-trnH identified most of the pollen samples at the species level. Substantial variability in pollen composition was observed between the highest elevation locality (Alpe Moconodeno), characterized by arid grasslands and a rocky substrate, and the other two sites (Cornisella and Ortanella) at lower altitudes. Pollen from Ortanella and Cornisella showed the presence of typical deciduous forest species; however in samples collected at Ortanella, pollen of the invasive Lonicera japonica, and the ornamental Pelargonium x hortorum were observed. Our results indicated pollen composition was largely influenced by floristic local biodiversity, plant phenology, and the presence of alien flowering species. Therefore, pollen molecular characterization based on DNA barcoding might serve useful to beekeepers in obtaining honeybee products with specific nutritional or therapeutic characteristics desired by food market demands.
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