Genomic prediction of zinc-biofortification potential in rice gene bank accessions - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue TAG Theoretical and Applied Genetics Année : 2022

Genomic prediction of zinc-biofortification potential in rice gene bank accessions

Résumé

Key message A genomic prediction model successfully predicted grain Zn concentrations in 3000 gene bank accessions and this was verified experimentally with selected potential donors having high on-farm grain-Zn in Madagascar. Abstract Increasing zinc (Zn) concentrations in edible parts of food crops, an approach termed Zn-biofortification, is a global breeding objective to alleviate micro-nutrient malnutrition. In particular, infants in countries like Madagascar are at risk of Zn deficiency because their dominant food source, rice, contains insufficient Zn. Biofortified rice varieties with increased grain Zn concentrations would offer a solution and our objective is to explore the genotypic variation present among rice gene bank accessions and to possibly identify underlying genetic factors through genomic prediction and genome-wide association studies (GWAS). A training set of 253 rice accessions was grown at two field sites in Madagascar to determine grain Zn concentrations and grain yield. A multi-locus GWAS analysis identified eight loci. Among these, QTN_11.3 had the largest effect and a rare allele increased grain Zn concentrations by 15%. A genomic prediction model was developed from the above training set to predict Zn concentrations of 3000 sequenced rice accessions. Predicted concentrations ranged from 17.1 to 40.2 ppm with a prediction accuracy of 0.51. An independent confirmation with 61 gene bank seed samples provided high correlations ( r = 0.74) between measured and predicted values. Accessions from the aus sub-species had the highest predicted grain Zn concentrations and these were confirmed in additional field experiments, with one potential donor having more than twice the grain Zn compared to a local check variety. We conclude utilizing donors from the aus sub-species and employing genomic selection during the breeding process is the most promising approach to raise grain Zn concentrations in rice.
Fichier principal
Vignette du fichier
2022_Rakotondramanana_Theoretical-Applied-Genetics.pdf (1.6 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03830570 , version 1 (26-10-2022)

Licence

Paternité

Identifiants

Citer

Mbolatantely Rakotondramanana, Ryokei Tanaka, Juan Pariasca-Tanaka, James Stangoulis, Cécile Grenier, et al.. Genomic prediction of zinc-biofortification potential in rice gene bank accessions. TAG Theoretical and Applied Genetics, 2022, 135 (7), pp.2265-2278. ⟨10.1007/s00122-022-04110-2⟩. ⟨hal-03830570⟩
46 Consultations
32 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More