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Crop-model assisted phenomics and genome-wide association study for climate adaptation of indica rice. 1. Phenology

Crop-model assisted phenomics and genome-wide association study for climate adaptation of indica rice. 1. Phenology. Dingkuhn Michael, Pasco Richard, Pasuquin Julie, Damo Jean, Soulie Jean-Christophe, Raboin Louis-Marie, Dusserre Julie, Sow Abdoulaye, Manneh Baboucarr, Shrestha Suchit, Balde Alpha Bocar, Kretzschmar Tobias. 2017. Journal of Experimental Botany, 68 (15) : 4369-4388.
https://doi.org/10.1093/jxb/erx249

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Article de revue ; Article de recherche ; Article de revue à facteur d'impact

Note générale : Corrigendum paru dans Journal of Experimental Botany, (2018)69 p.711 https://doi.org/10.1093/jxb/erx461

Résumé : Phenology and time of flowering are crucial determinants of rice adaptation to climate variation. A previous study characterized flowering responses of 203 diverse indica rices (the ORYTAGE panel) to ten environments in Senegal (six sowing dates) and Madagascar (two years and two altitudes) under irrigation in the field. This study used the physiological phenology model RIDEV V2 to heuristically estimate component traits of flowering such as cardinal temperatures (base temperature (Tbase) and optimum temperature), basic vegetative phase, photoperiod sensitivity and cold acclimation, and to conduct a genome-wide association study for these traits using 16 232 anonymous single-nucleotide polymorphism (SNP) markers. The RIDEV model after genotypic parameter optimization explained 96% of variation in time to flowering for Senegal alone and 91% for Senegal and Madagascar combined. The latter was improved to 94% by including an acclimation parameter reducing Tbase when the crop experienced low temperatures during early vegetative development. Eighteen significant (P<1.0 × 10−5) quantitative trait loci (QTLs) were identified, namely ten for RIDEV parameters and eight for climatic index variables (difference in time to flowering between key environments). Co-localization of QTLs for different traits were rare. RIDEV parameters gave QTLs that were mostly more significant and distinct from QTLs for index variables. Candidate genes were investigated within the estimated 50% linkage disequilibrium regions of 39 kB. In addition to several known flowering network genes, they included genes related to thermal stress adaptation and epigenetic control mechanisms. The peak SNP for a QTL for the crop parameter Tbase (P=2.0 × 10−7) was located within HD3a, a florigen that was recently identified as implicated in flowering under cool conditions. (Résumé d'auteur)

Mots-clés Agrovoc : Oryza sativa, adaptation aux changements climatiques, Changement climatique, Infertilité mâle, Photopériodicité, Tolérance au froid, Modèle de simulation, Modèle mathématique, Phénologie, Température, Floraison, Génotype, Identification, Gène

Mots-clés géographiques Agrovoc : Sénégal, Madagascar

Mots-clés complémentaires : Épigénétique

Mots-clés libres : Candidate genes; Cold tolerance; Flowering; HD3a florigen; Heuristics; Oryza sativa L.; Photoperiod sensitivity; RIDEV crop model

Classification Agris : F30 - Génétique et amélioration des plantes
P40 - Météorologie et climatologie
F60 - Physiologie et biochimie végétales
U10 - Méthodes mathématiques et statistiques
F63 - Physiologie végétale : reproduction

Axe stratégique Cirad : Axe 1 (2014-2018) - Agriculture écologiquement intensive

Auteurs et affiliations

  • Dingkuhn Michael, CIRAD-BIOS-UMR AGAP (FRA)
  • Pasco Richard, IRRI (PHL)
  • Pasuquin Julie, IRRI (PHL)
  • Damo Jean, IRRI (PHL)
  • Soulie Jean-Christophe, CIRAD-BIOS-UMR AGAP (FRA)
  • Raboin Louis-Marie, CIRAD-PERSYST-UPR AIDA (FRA)
  • Dusserre Julie, CIRAD-PERSYST-UPR AIDA (FRA) ORCID: 0000-0002-4971-8799
  • Sow Abdoulaye, Centre du riz pour l'Afrique (SEN)
  • Manneh Baboucarr, Centre du riz pour l'Afrique (SEN)
  • Shrestha Suchit, IRRI (PHL)
  • Balde Alpha Bocar, Centre du riz pour l'Afrique (SEN)
  • Kretzschmar Tobias, IRRI (PHL)

Source : Cirad-Agritrop

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