Combating a global threat to a clonal crop: Banana black sigatoka pathogen Pseudocercospora fijiensis (Synonym Mycosphaerella fijiensis) genomes reveal clues for disease control

Arango Isaza Rafael E., Diaz-Trujillo Caucasella, Dhillon Braham, Aerts Andrea, Carlier Jean, Crane Charles F., de Jong Tristan V., De Vries Ineke, Dietrich Robert, Farmer Andrew, Fortes Fereira Claudia, Garcia Suzana, Guzman Mauricio, Hamelin Richard C., Lindquist Erika, Mehrabi Rahim, Quiros Madrigal Olman, Schmutz Jeremy, Shapiro Harris, Reynolds Elizabeth, Scalliet Gabriel, Souza Manoel, Stergiopoulos Ioannis, Van der Lee Theo A.J., De Wit Pierre J. G. M., Zapater Marie-Françoise, Zwiers Lute-Harm, Grigoriev Igor, Goodwin Stephen B., Kema Gert H.J.. 2016. Combating a global threat to a clonal crop: Banana black sigatoka pathogen Pseudocercospora fijiensis (Synonym Mycosphaerella fijiensis) genomes reveal clues for disease control. PLoS Genetics, 12 (8):e1005876, 36 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
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Abstract : Black Sigatoka or black leaf streak disease, caused by the Dothideomycete fungus Pseudocercospora fijiensis (previously: Mycosphaerella fijiensis), is the most significant foliar disease of banana worldwide. Due to the lack of effective host resistance, management of this disease requires frequent fungicide applications, which greatly increase the economic and environmental costs to produce banana. Weekly applications in most banana plantations lead to rapid evolution of fungicide-resistant strains within populations causing disease-control failures throughout the world. Given its extremely high economic importance, two strains of P. fijiensis were sequenced and assembled with the aid of a new genetic linkage map. The 74-Mb genome of P. fijiensis is massively expanded by LTR retrotransposons, making it the largest genome within the Dothideomycetes. Melting-curve assays suggest that the genomes of two closely related members of the Sigatoka disease complex, P. eumusae and P. musae, also are expanded. Electrophoretic karyotyping and analyses of molecular markers in P. fijiensis field populations showed chromosome-length polymorphisms and high genetic diversity. Genetic differentiation was also detected using neutral markers, suggesting strong selection with limited gene flow at the studied geographic scale. Frequencies of fungicide resistance in fungicide-treated plantations were much higher than those in untreated wild-type P. fijiensis populations. A homologue of the Cladosporium fulvum Avr4 effector, PfAvr4, was identified in the P. fijiensis genome. Infiltration of the purified PfAVR4 protein into leaves of the resistant banana variety Calcutta 4 resulted in a hypersensitive-like response. This result suggests that Calcutta 4 could carry an unknown resistance gene recognizing PfAVR4. Besides adding to our understanding of the overall Dothideomycete genome structures, the P. fijiensis genome will aid in developing fungicide treatment schedules to combat this pathogen and in improving the efficiency of banana breeding programs. (Résumé d'auteur)

Mots-clés Agrovoc : Mycosphaerella fijiensis, Musa (bananes), Pseudocercospora, Maladie des raies noires, Contrôle de maladies, Génie génétique, Génome, Résistance génétique, Gène, Caryotype, Résistance aux maladies, Amélioration des plantes, Phylogénie, Variété, Musa acuminata

Mots-clés géographiques Agrovoc : France, Cameroun, Pays-Bas, Colombie, États-Unis, Brésil, Costa Rica

Mots-clés complémentaires : Séquencage

Classification Agris : H20 - Plant diseases
F30 - Plant genetics and breeding

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Arango Isaza Rafael E., Universidad Nacional de Colombia (COL)
  • Diaz-Trujillo Caucasella, Wageningen University (NLD)
  • Dhillon Braham, University of Arkansas (USA)
  • Aerts Andrea, Department of Energy (USA)
  • Carlier Jean, CIRAD-BIOS-UMR BGPI (FRA)
  • Crane Charles F., USDA (USA)
  • de Jong Tristan V., Wageningen University (NLD)
  • De Vries Ineke, PRI (NLD)
  • Dietrich Robert, Syngenta Biotechnology Inc. (USA)
  • Farmer Andrew, NCGR (USA)
  • Fortes Fereira Claudia, EMBRAPA (BRA)
  • Garcia Suzana, KeyGene (NLD)
  • Guzman Mauricio, CORBANA (CRI)
  • Hamelin Richard C., University of British Columbia (CAN)
  • Lindquist Erika, DOE-JGI (USA)
  • Mehrabi Rahim, Seed and Plant Improvement Institute (IRN)
  • Quiros Madrigal Olman, CIRAD-ES-UPR GREEN (FRA)
  • Schmutz Jeremy, DOE-JGI (USA)
  • Shapiro Harris, Department of Energy (USA)
  • Reynolds Elizabeth, General Bioinformatics (USA)
  • Scalliet Gabriel, Syngenta (CHE)
  • Souza Manoel, EMBRAPA (BRA)
  • Stergiopoulos Ioannis, California State University (USA)
  • Van der Lee Theo A.J., PRI (NLD)
  • De Wit Pierre J. G. M., Wageningen University (NLD)
  • Zapater Marie-Françoise, CIRAD-BIOS-UMR BGPI (FRA)
  • Zwiers Lute-Harm, CBS (NLD)
  • Grigoriev Igor, DOE-JGI (USA)
  • Goodwin Stephen B., USDA (USA)
  • Kema Gert H.J., PRI (NLD)

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