Authors

Pierre Abad, INRA, UMR
Jérôme Gouzy, INRA/CNRS
Jean-Marc Aury, Université d'Evry
Philippe Castagnone-Sereno, INRA, UMR
Etienne G J Danchin, INRA, UMR
Emeline Deleury, INRA, UMR
Laetitia Perfus-Barbeoch, INRA, UMR
Véronique Anthouard, Université d'Evry
Francois Artiguenave, Université d'Evry
Vivian C. Blok, SCRI, Invergowrie
Marie-Cécile Caillaud, INRA, UMR
Pedro M. Coutinho, Universités d'Aix-Marseille
Corinne Dasilva, Université d'Evry
Francesca De Luca, Consiglio Nazionale delle Ricerche
Florence Deau, INRA, UMR
Magali Esquibet, Univ. Rennes I
Timothé Flutre, Unité de Recherche en Génomique et Informatique (URGI)
Jared V. Goldstone, Woods Hole Oceanographic Institution
Noureddine Hamamouch, North Carolina State University
Tarek Hewezi, Iowa State University
Olivier Jaillon, Université d'Evry
Claire Jubin, Université d'Evry
Paola Leonetti, Consiglio Nazionale delle Ricerche
Marc Magliano, INRA, UMR
Tom R. Maier, Iowa State UniversityFollow
Gabriel V. Markov, Université de Lyon
Paul McVeigh, Queen's University Belfast
Graziano Pesole, University of Bari
Julie Poulain, Université d'Evry
Marc Robinson-Rechavi, University of Lausanne
Erika Sallet, GIS Toulouse Genopole
Béatrice Ségurens, Université d'Evry
Delphine Steinbach, Unité de Recherche en Génomique et Informatique (URGI)
Tom Tytgat, Wageningen University
Edgardo Ugarte, Université d'Evry
Cyril van Ghelder, INRA, UMR
Pasqua Veronico, Consiglio Nazionale delle Ricerche
Thomas J. Baum, Iowa State UniversityFollow
Mark Blaxter, University of Edinburgh
Teresa Bleve-Zacheo, Consiglio Nazionale delle Ricerche
Eric L. Davis, North Carolina State University
Jonathan J. Ewbank, INSERM/CNRS/Université de la Méditerranée
Bruno Favery, INRA, UMR
Eric Grenier, Univ. Rennes I
Bernard Henrissat, Universités d'Aix-Marseille
John T. Jones, SCRI, Invergowrie
Vincent Laudet, Université de Lyon
Aaron G. Maule, Queen's University Belfast
Hadi Quesneville, Unité de Recherche en Génomique et Informatique (URGI)
Marie-Noëlle Rosso, INRA, UMR
Thomas Schiex, Unité de Biométrie et d'Intelligence Artificielle
Geert Smant, Wageningen University
Jean Weissenbach, Université d'Evry
Patrick Wincker, Université d'Evry

Campus Units

Plant Pathology and Microbiology

Document Type

Article

Publication Version

Published Version

Publication Date

8-2008

Journal or Book Title

Nature Biotechnology

Volume

26

Issue

8

First Page

303

Last Page

315

DOI

10.1038/nbt.1482

Abstract

Plant-parasitic nematodes are major agricultural pests worldwide and novel approaches to control them are sorely needed. We report the draft genome sequence of the root-knot nematode Meloidogyne incognita, a biotrophic parasite of many crops, including tomato, cotton and coffee. Most of the assembled sequence of this asexually reproducing nematode, totaling 86 Mb, exists in pairs of homologous but divergent segments. This suggests that ancient allelic regions in M. incognita are evolving toward effective haploidy, permitting new mechanisms of adaptation. The number and diversity of plant cell wall–degrading enzymes in M. incognita is unprecedented in any animal for which a genome sequence is available, and may derive from multiple horizontal gene transfers from bacterial sources. Our results provide insights into the adaptations required by metazoans to successfully parasitize immunocompetent plants, and open the way for discovering new antiparasitic strategies.

Comments

This article is published as Abad, Pierre, Jérôme Gouzy, Jean-Marc Aury, Philippe Castagnone-Sereno, Etienne GJ Danchin, Emeline Deleury, Laetitia Perfus-Barbeoch et al. "Genome sequence of the metazoan plant-parasitic nematode Meloidogyne incognita." Nature biotechnology 26, no. 8 (2008): 909-915, doi: 10.1038/nbt.1482. Posted with permission.

Creative Commons License

Creative Commons Attribution-Noncommercial-Share Alike 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Copyright Owner

Nature Publishing Group

Language

en

File Format

application/pdf

Share

COinS