Mycobiology

The Korean Society of Mycology (한국균학회)
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Investigation of Fungal Strains Composition in Fruit Pollens for Artificial Pollination

  • Do, Heeil (Division of Applied Life Science, Gyeongsang National University) ;
  • Kim, Su-Hyeon (Division of Applied Life Science, Gyeongsang National University) ;
  • Cho, Gyeongjun (Division of Applied Life Science, Gyeongsang National University) ;
  • Kim, Da-Ran (Research Institute of Life Science, Gyeongsang National University) ;
  • Kwak, Youn-Sig (Division of Applied Life Science, Gyeongsang National University)
  • Received : 2021.01.11
  • Accepted : 2021.02.17
  • Published : 2021.06.30
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Abstract

Plants pollination are conducted through various pollinators such as wind, animals, and insects. Recently, the necessity for artificial pollination is drawing attention as the proportion of natural pollinators involved is decreasing over the years. Likewise, the trade in pollen for artificial pollination is also increasing worldwide. Through these imported pollens, many unknown microorganisms can flow from foreign countries. Among them, spores of various fungi present in the particles of pollen can be dispersed throughout the orchard. Therefore, in this study, the composition of fungal communities in imported pollen was revealed, and potential ecological characteristics of the fungi were investigated in four types of imported pollen. Top 10 operational taxonomic unit (OTU) of fungi were ranked among the following groups: Alternaria sp., Cladosporium sp., and Didymella glomerata which belong to many pathogenic species. Through FUNGuild analysis, the proportion of OTUs, which is assumed to be potentially plant pathogens, was higher than 50%, except for apple pollen in 2018. Based on this study of fungal structure, this information can suggest the direction of the pollen quarantine process and contribute to fungal biology in pollen

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) [2020R1A2C2004177].

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