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Genome sequence of the plant pathogen Ralstonia solanacearum

Author

Listed:
  • M. Salanoubat

    (Genoscope and CNRS UMR-8030)

  • S. Genin

    (Laboratoire de Biologie Moléculaire des Interactions Plantes-Microorganismes INRA-CNRS, BP27)

  • F. Artiguenave

    (Genoscope and CNRS UMR-8030
    Genomining, 93–95 rue Henri Rochefort)

  • J. Gouzy

    (Laboratoire de Biologie Moléculaire des Interactions Plantes-Microorganismes INRA-CNRS, BP27)

  • S. Mangenot

    (Genoscope and CNRS UMR-8030)

  • M. Arlat

    (Laboratoire de Biologie Moléculaire des Interactions Plantes-Microorganismes INRA-CNRS, BP27)

  • A. Billault

    (Fondation Jean Dausset-CEPH)

  • P. Brottier

    (Genoscope and CNRS UMR-8030)

  • J. C. Camus

    (Laboratoire de Biologie Moléculaire des Interactions Plantes-Microorganismes INRA-CNRS, BP27)

  • L. Cattolico

    (Genoscope and CNRS UMR-8030)

  • M. Chandler

    (LMGM CNRS)

  • N. Choisne

    (Genoscope and INRA URGV)

  • C. Claudel-Renard

    (Laboratoire de Genetique Cellulaire, INRA, BP27)

  • S. Cunnac

    (Laboratoire de Biologie Moléculaire des Interactions Plantes-Microorganismes INRA-CNRS, BP27)

  • N. Demange

    (Genoscope and CNRS UMR-8030)

  • C. Gaspin

    (Unité de Biométrie et Intelligence Artificielle INRA, BP27)

  • M. Lavie

    (Laboratoire de Biologie Moléculaire des Interactions Plantes-Microorganismes INRA-CNRS, BP27)

  • A. Moisan

    (Unité de Biométrie et Intelligence Artificielle INRA, BP27)

  • C. Robert

    (Genoscope and CNRS UMR-8030)

  • W. Saurin

    (Genoscope and CNRS UMR-8030
    Genomining, 93–95 rue Henri Rochefort)

  • T. Schiex

    (Unité de Biométrie et Intelligence Artificielle INRA, BP27)

  • P. Siguier

    (LMGM CNRS)

  • P. Thébault

    (Laboratoire de Biologie Moléculaire des Interactions Plantes-Microorganismes INRA-CNRS, BP27)

  • M. Whalen

    (Laboratoire de Biologie Moléculaire des Interactions Plantes-Microorganismes INRA-CNRS, BP27
    San Francisco State University)

  • P. Wincker

    (Genoscope and CNRS UMR-8030)

  • M. Levy

    (Genoscope and CNRS UMR-8030)

  • J. Weissenbach

    (Genoscope and CNRS UMR-8030)

  • C. A. Boucher

    (Laboratoire de Biologie Moléculaire des Interactions Plantes-Microorganismes INRA-CNRS, BP27)

Abstract

Ralstonia solanacearum is a devastating, soil-borne plant pathogen with a global distribution and an unusually wide host range. It is a model system for the dissection of molecular determinants governing pathogenicity. We present here the complete genome sequence and its analysis of strain GMI1000. The 5.8-megabase (Mb) genome is organized into two replicons: a 3.7-Mb chromosome and a 2.1-Mb megaplasmid. Both replicons have a mosaic structure providing evidence for the acquisition of genes through horizontal gene transfer. Regions containing genetically mobile elements associated with the percentage of G+C bias may have an important function in genome evolution. The genome encodes many proteins potentially associated with a role in pathogenicity. In particular, many putative attachment factors were identified. The complete repertoire of type III secreted effector proteins can be studied. Over 40 candidates were identified. Comparison with other genomes suggests that bacterial plant pathogens and animal pathogens harbour distinct arrays of specialized type III-dependent effectors.

Suggested Citation

  • M. Salanoubat & S. Genin & F. Artiguenave & J. Gouzy & S. Mangenot & M. Arlat & A. Billault & P. Brottier & J. C. Camus & L. Cattolico & M. Chandler & N. Choisne & C. Claudel-Renard & S. Cunnac & N. D, 2002. "Genome sequence of the plant pathogen Ralstonia solanacearum," Nature, Nature, vol. 415(6871), pages 497-502, January.
    • Handle: RePEc:nat:nature:v:415:y:2002:i:6871:d:10.1038_415497a
    DOI: 10.1038/415497a
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    Cited by:

    1. Li Fan & Katja Fröhlich & Eric Melzer & Rory N. Pruitt & Isabell Albert & Lisha Zhang & Anna Joe & Chenlei Hua & Yanyue Song & Markus Albert & Sang-Tae Kim & Detlef Weigel & Cyril Zipfel & Eunyoung Ch, 2022. "Genotyping-by-sequencing-based identification of Arabidopsis pattern recognition receptor RLP32 recognizing proteobacterial translation initiation factor IF1," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Felix Homma & Jie Huang & Renier A. L. van der Hoorn, 2023. "AlphaFold-Multimer predicts cross-kingdom interactions at the plant-pathogen interface," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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