التفاصيل البيبلوغرافية
| العنوان: |
Microbiome and floral associations of a wild bee using biodiversity survey collections. |
| المؤلفون: |
Nguyen, Phuong N., Samad‐zada, Farida, Chau, Katherine D., Rehan, Sandra M. |
| المصدر: |
Environmental Microbiology; Jun2024, Vol. 26 Issue 6, p1-16, 16p |
| مصطلحات موضوعية: |
HALICTIDAE, BEES, PLANT cuticle, BEE colonies, PLANT diversity, BACTERIAL diversity, BIOMES |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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