Genome-wide association study for yield and yield related traits under reproductive stage drought in a diverse indica-aus rice panel

Bhandari Aditi, Sandhu Nitika, Bartholome Jérôme, Cao-Hamadou Tuong-Vi, Ahmadi Nourollah, Kumari Nilima, Kumar Arvind. 2020. Genome-wide association study for yield and yield related traits under reproductive stage drought in a diverse indica-aus rice panel. Rice, 13 (1):53, 22 p.

Url - jeu de données - Entrepôt autre : https://figshare.com/articles/journal_contribution/Additional_file_1_of_Genome-Wide_Association_Study_for_Yield_and_Yield_Related_Traits_under_Reproductive_Stage_Drought_in_a_Diverse_indica-aus_Rice_Panel/12774967

Quartile : Q1, Sujet : AGRONOMY

Résumé : Background: Reproductive-stage drought stress is a major impediment to rice production in rainfed areas. Conventional and marker-assisted breeding strategies for developing drought-tolerant rice varieties are being optimized by mining and exploiting adaptive traits, genetic diversity; identifying the alleles, and understanding their interactions with genetic backgrounds for their increased contribution to drought tolerance. Field experiments were conducted in this study to identify marker-trait associations (MTAs) involved in response to yield under reproductive-stage (RS) drought. A diverse set of 280 indica-aus accessions was phenotyped for ten agronomic traits including yield and yield-related traits under normal irrigated condition and under two managed reproductive-stage drought environments. The accessions were genotyped with 215,250 single nucleotide polymorphism markers. Results: The study identified a total of 219 significant MTAs for 10 traits and candidate gene analysis within a 200 kb window centred from GWAS identified SNP peaks detected these MTAs within/ in close proximity to 38 genes, 4 earlier reported major grain yield QTLs and 6 novel QTLs for 7 traits out of the 10. The significant MTAs were mainly located on chromosomes 1, 2, 5, 6, 9, 11 and 12 and the percent phenotypic variance captured for these traits ranged from 5 to 88%. The significant positive correlation of grain yield with yield-related and other agronomic traits except for flowering time, observed under different environments point towards their contribution in improving rice yield under drought. Seven promising accessions were identified for use in future genomics-assisted breeding programs targeting grain yield improvement under drought. Conclusion: These results provide a promising insight into the complex genetic architecture of grain yield under reproductive-stage drought in different environments. Validation of major genomic regions reported in the study will enable their effectiveness to develop drought-tolerant varieties following marker-assisted selection as well as to identify genes and understanding the associated physiological mechanisms.

Mots-clés Agrovoc : sélection assistée par marqueurs, tolérance à la sécheresse, locus des caractères quantitatifs, diversité génétique (comme ressource), Oryza sativa, variation génétique

Mots-clés libres : Reproductive-stage drought, Rice, Genetic diversity, Association mapping, Quantitative trait loci

Classification Agris : F30 - Génétique et amélioration des plantes
F63 - Physiologie végétale - Reproduction

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Auteurs et affiliations

• Bhandari Aditi, CIRAD-BIOS-UMR AGAP (FRA)
• Sandhu Nitika, IRRI [International Rice Research Institute] (PHL)
• Bartholome Jérôme, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-0855-3828
• Cao-Hamadou Tuong-Vi, CIRAD-BIOS-UMR AGAP (BEN) ORCID: 0000-0002-7011-2003
• Ahmadi Nourollah, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0003-0072-6285
• Kumari Nilima, Banasthali University (IND)
• Kumar Arvind, IRRI [International Rice Research Institute] (PHL) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/599680/)

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