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Identification of suitable reference genes for miRNA quantitation in bumblebee (Hymenoptera: Apidae) response to reproduction

  • Jie Dong
  • Jilian Li
  • Jiaxing HuangEmail author
  • Jie WuEmail author
Original article


The precise quantification of microRNAs (miRNAs) expression level is a critical factor in mastering its functions. We evaluate the suitability of two common genes and ten miRNAs as normalizers for miRNA quantification in the head and ovary at different reproductive status of bumblebees, Bombus lantschouensis by using four different algorithms and one consensus rank approach. For the head and ovary combination, miR-275 was the best candidate. For different tissues, miR-275 was the most stable candidate in the head, while the candidate for the ovary was miR-277. To test the best candidate accuracy, miR-315 was demonstrated to be downregulated based on miR-275 normalization in ovipositor bumblebees. The miR-275 and miR-277 combination is identified to be the most reliable and suitable reference genes for the head and ovary of bumblebees.


bumblebee microRNAs reference gene real-time quantification normalization 



The authors would like to thank Prof. Jiandong An and Dr. Tolera Kumsa Gemeda for their invaluable comments.

Author’s contributions

JD and JH conceived this research and designed experiments; JH, JL, and JW participated in the design and interpretation of the data; JD performed experiments and analysis; JD and JH wrote the paper and participated in the revisions of it. All authors read and approved the final manuscript.

Funding information

This work was funded by China Agriculture Research System (CARS-44), the Agricultural Science and Technology Innovation Program (CAASASTIP-2018-IAR), and the Natural Science Foundation of China (U1603108).

Compliance with ethical standards

Conflicts of interest

The authors declare that they have no conflict of interest.

Supplementary material

13592_2018_616_MOESM1_ESM.pdf (3.4 mb)
ESM 1. (PDF 3483 kb)


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Copyright information

© INRA, DIB and Springer-Verlag France SAS, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Key Laboratory for Insect-Pollinator Biology of the Ministry of Agriculture, Institute of Apicultural ResearchChinese Academy of Agricultural SciencesBeijingPeople’s Republic of China
  2. 2.Institute of Animal Husbandry and Veterinary ScienceZhejiang Academy of Agricultural SciencesHangzhouPeople’s Republic of China

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