論文

査読有り
2018年8月

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

APPLIED ENTOMOLOGY AND ZOOLOGY
  • Tsunashi Kamo
  • ,
  • Yoshinobu Kusumoto
  • ,
  • Yoshinori Tokuoka
  • ,
  • Satoru Okubo
  • ,
  • Hiroshi Hayakawa
  • ,
  • Mikio Yoshiyama
  • ,
  • Kiyoshi Kimura
  • ,
  • Akihiro Konuma

53
3
開始ページ
353
終了ページ
361
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s13355-018-0565-9
出版者・発行元
SPRINGER JAPAN KK

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.

リンク情報
DOI
https://doi.org/10.1007/s13355-018-0565-9
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000439118400008&DestApp=WOS_CPL
ID情報
  • DOI : 10.1007/s13355-018-0565-9
  • ISSN : 0003-6862
  • eISSN : 1347-605X
  • Web of Science ID : WOS:000439118400008

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