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A single bacterial genus maintains root growth in a complex microbiome.
Finkel, Omri M; Salas-González, Isai; Castrillo, Gabriel; Conway, Jonathan M; Law, Theresa F; Teixeira, Paulo José Pereira Lima; Wilson, Ellie D; Fitzpatrick, Connor R; Jones, Corbin D; Dangl, Jeffery L.
Afiliação
  • Finkel OM; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Salas-González I; Howard Hughes Medical Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Castrillo G; Department of Plant and Environmental Sciences, Institute of Life Science, The Hebrew University of Jerusalem, Jerusalem, Israel.
  • Conway JM; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Law TF; Howard Hughes Medical Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Teixeira PJPL; Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Wilson ED; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Fitzpatrick CR; Howard Hughes Medical Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Jones CD; Future Food Beacon of Excellence, School of Biosciences, University of Nottingham, Sutton Bonington, UK.
  • Dangl JL; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Nature ; 587(7832): 103-108, 2020 11.
Article em En | MEDLINE | ID: mdl-32999461
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arabidopsis / Raízes de Plantas / Comamonadaceae / Microbiota Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arabidopsis / Raízes de Plantas / Comamonadaceae / Microbiota Idioma: En Ano de publicação: 2020 Tipo de documento: Article