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A mutualistic interaction between Streptomyces bacteria, strawberry plants and pollinating bees

Author

Listed:
  • Da-Ran Kim

    (Gyeongsang National University)

  • Gyeongjun Cho

    (Gyeongsang National University)

  • Chang-Wook Jeon

    (Gyeongsang National University)

  • David M. Weller

    (Agricultural Research Service, Wheat Health, Genetics, and Quality Research Unit)

  • Linda S. Thomashow

    (Agricultural Research Service, Wheat Health, Genetics, and Quality Research Unit)

  • Timothy C. Paulitz

    (Agricultural Research Service, Wheat Health, Genetics, and Quality Research Unit)

  • Youn-Sig Kwak

    (Gyeongsang National University
    Gyeongsang National University)

Abstract

Microbes can establish mutualistic interactions with plants and insects. Here we track the movement of an endophytic strain of Streptomyces bacteria throughout a managed strawberry ecosystem. We show that a Streptomyces isolate found in the rhizosphere and on flowers protects both the plant and pollinating honeybees from pathogens (phytopathogenic fungus Botrytis cinerea and pathogenic bacteria, respectively). The pollinators can transfer the Streptomyces bacteria among flowers and plants, and Streptomyces can move into the plant vascular bundle from the flowers and from the rhizosphere. Our results present a tripartite mutualism between Streptomyces, plant and pollinator partners.

Suggested Citation

  • Da-Ran Kim & Gyeongjun Cho & Chang-Wook Jeon & David M. Weller & Linda S. Thomashow & Timothy C. Paulitz & Youn-Sig Kwak, 2019. "A mutualistic interaction between Streptomyces bacteria, strawberry plants and pollinating bees," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12785-3
    DOI: 10.1038/s41467-019-12785-3
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    Cited by:

    1. Guillermo Guerrero-Egido & Adrian Pintado & Kevin M. Bretscher & Luisa-Maria Arias-Giraldo & Joseph N. Paulson & Herman P. Spaink & Dennis Claessen & Cayo Ramos & Francisco M. Cazorla & Marnix H. Mede, 2024. "bacLIFE: a user-friendly computational workflow for genome analysis and prediction of lifestyle-associated genes in bacteria," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

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