A DNA barcoding method for identifying and quantifying the composition of pollen species collected by European honeybees, Apis mellifera (Hymenoptera: Apidae)

• Published in: Applied entomology and zoology Vol. 53; no. 3; pp. 353 - 361
• Main Authors: Kamo, Tsunashi, Kusumoto, Yoshinobu, Tokuoka, Yoshinori, Okubo, Satoru, Hayakawa, Hiroshi, Yoshiyama, Mikio, Kimura, Kiyoshi, Konuma, Akihiro
• Format: Journal Article
• Language: English
• Published: Tokyo Springer Japan 01.08.2018; Springer Nature B.V
• Subjects: Agriculture; Apidae; Apis mellifera; Applied Ecology; Bees; Biomedical and Life Sciences; Colonies; Deoxyribonucleic acid; DNA; Entomology; Environmental Management; Genera; Hymenoptera; Life Sciences; Original Research Paper; Plant Pathology; Pollen; Species composition; Zoology; ITS2; Pollen pellet; -; DNA barcoding; Apis mellifera; trnL-trnF
• ISSN: 0003-6862; 1347-605X
• DOI: 10.1007/s13355-018-0565-9

The European honeybee, Apis mellifera L. (Hymenoptera: Apidae), is the most important crop pollinator, and there is an urgent need for a sustained supply of honeybee colonies. Understanding the availability of pollen resources around apiaries throughout the brood-rearing season is crucial to increasing the number of colonies. However, detailed information on the floral resources used by honeybees is limited due to a scarcity of efficient methods for identifying pollen species composition. Therefore, we developed a DNA barcoding method for identifying the species of each pollen pellet and for quantifying the species composition by summing the weights of the pellets for each species. To establish the molecular biological protocol, we analyzed 1008 pellets collected between late July and early September 2016 from five hives placed in a forest/agricultural landscape of Hokkaido, northern Japan. Pollen was classified into 31 plant taxa, of which 29 were identified with satisfactory discrimination (25 species and 4 genera) using trnL - trnF and ITS2 as DNA barcoding regions together with available floral and phenological information. The remaining two taxa were classified to the species level using other DNA barcoding regions. Of the 1008 pollen pellets tested, 1005 (99.7%) were successfully identified. As an example of the use of this method, we demonstrated the change in species composition of pollen pellets collected each week for 9 weeks from the same hive.