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A single bacterial genus maintains root growth in a complex microbiome

Author

Listed:
  • Omri M. Finkel

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    The Hebrew University of Jerusalem)

  • Isai Salas-González

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Gabriel Castrillo

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of Nottingham)

  • Jonathan M. Conway

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Theresa F. Law

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Paulo José Pereira Lima Teixeira

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of São Paulo (USP))

  • Ellie D. Wilson

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Connor R. Fitzpatrick

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Corbin D. Jones

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Jeffery L. Dangl

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

Abstract

Plants grow within a complex web of species that interact with each other and with the plant1–10. These interactions are governed by a wide repertoire of chemical signals, and the resulting chemical landscape of the rhizosphere can strongly affect root health and development7–9,11–18. Here, to understand how interactions between microorganisms influence root growth in Arabidopsis, we established a model system for interactions between plants, microorganisms and the environment. We inoculated seedlings with a 185-member bacterial synthetic community, manipulated the abiotic environment and measured bacterial colonization of the plant. This enabled us to classify the synthetic community into four modules of co-occurring strains. We deconstructed the synthetic community on the basis of these modules, and identified interactions between microorganisms that determine root phenotype. These interactions primarily involve a single bacterial genus (Variovorax), which completely reverses the severe inhibition of root growth that is induced by a wide diversity of bacterial strains as well as by the entire 185-member community. We demonstrate that Variovorax manipulates plant hormone levels to balance the effects of our ecologically realistic synthetic root community on root growth. We identify an auxin-degradation operon that is conserved in all available genomes of Variovorax and is necessary and sufficient for the reversion of root growth inhibition. Therefore, metabolic signal interference shapes bacteria–plant communication networks and is essential for maintaining the stereotypic developmental programme of the root. Optimizing the feedbacks that shape chemical interaction networks in the rhizosphere provides a promising ecological strategy for developing more resilient and productive crops.

Suggested Citation

  • Omri M. Finkel & Isai Salas-González & Gabriel Castrillo & Jonathan M. Conway & Theresa F. Law & Paulo José Pereira Lima Teixeira & Ellie D. Wilson & Connor R. Fitzpatrick & Corbin D. Jones & Jeffery , 2020. "A single bacterial genus maintains root growth in a complex microbiome," Nature, Nature, vol. 587(7832), pages 103-108, November.
  • Handle: RePEc:nat:nature:v:587:y:2020:i:7832:d:10.1038_s41586-020-2778-7
    DOI: 10.1038/s41586-020-2778-7
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    Citations

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    Cited by:

    1. Ben O. Oyserman & Stalin Sarango Flores & Thom Griffioen & Xinya Pan & Elmar Wijk & Lotte Pronk & Wouter Lokhorst & Azkia Nurfikari & Joseph N. Paulson & Mercedeh Movassagh & Nejc Stopnisek & Anne Kup, 2022. "Disentangling the genetic basis of rhizosphere microbiome assembly in tomato," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    2. Yayu Wang & Xiaolin Wang & Shuai Sun & Canzhi Jin & Jianmu Su & Jinpu Wei & Xinyue Luo & Jiawen Wen & Tong Wei & Sunil Kumar Sahu & Hongfeng Zou & Hongyun Chen & Zhixin Mu & Gengyun Zhang & Xin Liu & , 2022. "GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    3. Barbara Emmenegger & Julien Massoni & Christine M. Pestalozzi & Miriam Bortfeld-Miller & Benjamin A. Maier & Julia A. Vorholt, 2023. "Identifying microbiota community patterns important for plant protection using synthetic communities and machine learning," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    4. Xin Zhou & Jinting Wang & Fang Liu & Junmin Liang & Peng Zhao & Clement K. M. Tsui & Lei Cai, 2022. "Cross-kingdom synthetic microbiota supports tomato suppression of Fusarium wilt disease," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    5. Cheng Gao & Ling Xu & Liliam Montoya & Mary Madera & Joy Hollingsworth & Liang Chen & Elizabeth Purdom & Vasanth Singan & John Vogel & Robert B. Hutmacher & Jeffery A. Dahlberg & Devin Coleman-Derr & , 2022. "Co-occurrence networks reveal more complexity than community composition in resistance and resilience of microbial communities," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    6. Tomas Hessler & Robert J. Huddy & Rohan Sachdeva & Shufei Lei & Susan T. L. Harrison & Spencer Diamond & Jillian F. Banfield, 2023. "Vitamin interdependencies predicted by metagenomics-informed network analyses and validated in microbial community microcosms," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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