A genome-wide meta-analysis of rice blast resistance genes and quantitative trait loci provides new insights into partial and complete resistance

Elsa Ballini, Jean-Benoit Morel, Gaetan Droc, Adam Price, Brigitte Courtois, Jean-Loup Notteghem, Didier Tharreau

Research output: Contribution to journalLiterature review

227 Citations (Scopus)

Abstract

The completion of the genome sequences of both rice and Magnaporthe oryzae has strengthened the position of rice blast disease as a model to study plant-pathogen interactions in monocotyledons. Genetic studies of blast resistance in rice were established in Japan as early as 1917. Despite such long-term study, examples of cultivars with durable resistance are rare, partly due to our limited knowledge of resistance mechanisms. A rising number of blast resistance genes and quantitative trait loci (QTL) have been genetically described, and some have been characterized during the last 20 years. Using the rice genome sequence, can we now go a step further toward a better understanding of the genetics of blast resistance by combining all these results? Is such knowledge appropriate and sufficient to improve breeding for durable resistance? A review of bibliographic references identified 85 blast resistance genes and approximately 350 QTL, which we mapped on the rice genome. These data provide a useful update on blast resistance genes as well as new insights to help formulate hypotheses about the molecular function of blast QTL, with special emphasis on QTL for partial resistance. All these data are available from the OrygenesDB database.

Original languageEnglish
Pages (from-to)859-868
Number of pages10
JournalMolecular Plant-Microbe Interactions
Volume21
Issue number7
DOIs
Publication statusPublished - Jul 2008

Keywords

  • colocalization
  • defense
  • metaQTL
  • Oryza sativa
  • Japanese upland rice
  • fungus magnaporthe-grisea
  • conferring partial resistance
  • candidate defense genes
  • field-resistance
  • nucleotide-binding
  • broad-spectrum
  • disease resistance
  • backcross population
  • repeat protein

Cite this

A genome-wide meta-analysis of rice blast resistance genes and quantitative trait loci provides new insights into partial and complete resistance. / Ballini, Elsa; Morel, Jean-Benoit; Droc, Gaetan; Price, Adam; Courtois, Brigitte; Notteghem, Jean-Loup; Tharreau, Didier.

In: Molecular Plant-Microbe Interactions, Vol. 21, No. 7, 07.2008, p. 859-868.

Research output: Contribution to journalLiterature review

Ballini, Elsa ; Morel, Jean-Benoit ; Droc, Gaetan ; Price, Adam ; Courtois, Brigitte ; Notteghem, Jean-Loup ; Tharreau, Didier. / A genome-wide meta-analysis of rice blast resistance genes and quantitative trait loci provides new insights into partial and complete resistance. In: Molecular Plant-Microbe Interactions. 2008 ; Vol. 21, No. 7. pp. 859-868.
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AB - The completion of the genome sequences of both rice and Magnaporthe oryzae has strengthened the position of rice blast disease as a model to study plant-pathogen interactions in monocotyledons. Genetic studies of blast resistance in rice were established in Japan as early as 1917. Despite such long-term study, examples of cultivars with durable resistance are rare, partly due to our limited knowledge of resistance mechanisms. A rising number of blast resistance genes and quantitative trait loci (QTL) have been genetically described, and some have been characterized during the last 20 years. Using the rice genome sequence, can we now go a step further toward a better understanding of the genetics of blast resistance by combining all these results? Is such knowledge appropriate and sufficient to improve breeding for durable resistance? A review of bibliographic references identified 85 blast resistance genes and approximately 350 QTL, which we mapped on the rice genome. These data provide a useful update on blast resistance genes as well as new insights to help formulate hypotheses about the molecular function of blast QTL, with special emphasis on QTL for partial resistance. All these data are available from the OrygenesDB database.

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