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Microbiome and floral associations of a wild bee using biodiversity survey collections
Environmental Microbiology ( IF 4.3 ) Pub Date : 2024-05-31 , DOI: 10.1111/1462-2920.16657 Phuong N Nguyen 1 , Farida Samad-Zada 1 , Katherine D Chau 1 , Sandra M Rehan 1
Environmental Microbiology ( IF 4.3 ) Pub Date : 2024-05-31 , DOI: 10.1111/1462-2920.16657 Phuong N Nguyen 1 , Farida Samad-Zada 1 , Katherine D Chau 1 , Sandra M Rehan 1
Affiliation
The health of bees can be assessed through their microbiome, which serves as a biomarker indicating the presence of both beneficial and harmful microorganisms within a bee community. This study presents the characterisation of the bacterial, fungal, and plant composition on the cuticle of adult bicoloured sweat bees (Agapostemon virescens ). These bees were collected using various methods such as pan traps, blue vane traps and sweep netting across the northern extent of their habitat range. Non‐destructive methods were employed to extract DNA from the whole pinned specimens of these wild bees. Metabarcoding of the 16S rRNA, ITS and rbcL regions was then performed. The study found that the method of collection influenced the detection of certain microbial and plant taxa. Among the collection methods, sweep net samples showed the lowest fungal alpha diversity. However, minor differences in bacterial or fungal beta diversity suggest that no single method is significantly superior to others. Therefore, a combination of techniques can cater to a broader spectrum of microbial detection. The study also revealed regional variations in bacterial, fungal and plant diversity. The core microbiome of A. virescens comprises two bacteria, three fungi and a plant association, all of which are commonly detected in other wild bees. These core microbes remained consistent across different collection methods and locations. Further extensive studies of wild bee microbiomes across various species and landscapes will help uncover crucial relationships between pollinator health and their environment.
中文翻译:
使用生物多样性调查收集的野蜂微生物组和花卉关联
蜜蜂的健康状况可以通过微生物组来评估,微生物组作为生物标志物,表明蜜蜂群落中存在有益和有害微生物。这项研究展示了成年双色汗蜂角质层上细菌、真菌和植物成分的特征(绿花苋菜)。这些蜜蜂是通过各种方法收集的,例如盘式诱捕器、蓝色叶片诱捕器和跨越其栖息地范围北部的扫网。采用非破坏性方法从这些野生蜜蜂的整个固定样本中提取 DNA。然后对 16S rRNA、ITS 和 rbcL 区域进行元条形码编码。研究发现收集方法影响某些微生物和植物类群的检测。在收集方法中,扫网样本显示出最低的真菌α多样性。然而,细菌或真菌β多样性的微小差异表明,没有一种方法明显优于其他方法。因此,技术的组合可以满足更广泛的微生物检测。该研究还揭示了细菌、真菌和植物多样性的区域差异。核心微生物组黄花苋包括两种细菌、三种真菌和一种植物组合,所有这些都在其他野生蜜蜂中常见。这些核心微生物在不同的收集方法和地点中保持一致。对不同物种和景观中野生蜜蜂微生物组的进一步广泛研究将有助于揭示传粉媒介健康与其环境之间的重要关系。
更新日期:2024-05-31
中文翻译:
使用生物多样性调查收集的野蜂微生物组和花卉关联
蜜蜂的健康状况可以通过微生物组来评估,微生物组作为生物标志物,表明蜜蜂群落中存在有益和有害微生物。这项研究展示了成年双色汗蜂角质层上细菌、真菌和植物成分的特征(绿花苋菜)。这些蜜蜂是通过各种方法收集的,例如盘式诱捕器、蓝色叶片诱捕器和跨越其栖息地范围北部的扫网。采用非破坏性方法从这些野生蜜蜂的整个固定样本中提取 DNA。然后对 16S rRNA、ITS 和 rbcL 区域进行元条形码编码。研究发现收集方法影响某些微生物和植物类群的检测。在收集方法中,扫网样本显示出最低的真菌α多样性。然而,细菌或真菌β多样性的微小差异表明,没有一种方法明显优于其他方法。因此,技术的组合可以满足更广泛的微生物检测。该研究还揭示了细菌、真菌和植物多样性的区域差异。核心微生物组黄花苋包括两种细菌、三种真菌和一种植物组合,所有这些都在其他野生蜜蜂中常见。这些核心微生物在不同的收集方法和地点中保持一致。对不同物种和景观中野生蜜蜂微生物组的进一步广泛研究将有助于揭示传粉媒介健康与其环境之间的重要关系。