Genetic control of plasticity in root morphology and anatomy of rice in response to water deficit
Autor: | Raveendran Muthurajan, S. V. Krishna Jagadish, Niteen N. Kadam, Michael J. Thomson, Lovely Mae F Lawas, Cherryl Quinones, Paul C. Struik, Anandhan Tamilselvan, Xinyou Yin, Michaël Dingkuhn, Rajeev N. Bahuguna |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
0106 biological sciences
0301 basic medicine Candidate gene Linkage disequilibrium Résistance génétique Physiology Phénotype Plant Science 01 natural sciences F50 - Anatomie et morphologie des plantes Plant Roots Linkage Disequilibrium F30 - Génétique et amélioration des plantes Système racinaire Génétique Genetics Principal Component Analysis biology Chromosome Mapping food and beverages Anatomy Articles PE&RC Physiologie végétale Phenotype Anatomie végétale Centre for Crop Systems Analysis Genome Plant Zone tropicale Crop Physiology Genotype Stress dû à la sécheresse F60 - Physiologie et biochimie végétale Oryza sativa Quantitative trait locus Oryza 03 medical and health sciences Variation génétique Quantitative Trait Heritable Life Science Allele Adaptation Genetic association Phenotypic plasticity Morphologie végétale Water biology.organism_classification 030104 developmental biology Résistance à la sécheresse Genetic Loci Linear Models H50 - Troubles divers des plantes human activities 010606 plant biology & botany Genome-Wide Association Study |
Zdroj: | Plant Physiology 174 (2017) 4 Plant Physiology Plant Physiology, 174(4), 2302-2315 |
ISSN: | 0032-0889 |
Popis: | Elucidating the genetic control of rooting behavior under water-deficit stress is essential to breed climate-robust rice (Oryza sativa) cultivars. Using a diverse panel of 274 indica genotypes grown under control and water-deficit conditions during vegetative growth, we phenotyped 35 traits, mostly related to root morphology and anatomy, involving 45,000 root-scanning images and nearly 25,000 cross sections from the root-shoot junction. The phenotypic plasticity of these traits was quantified as the relative change in trait value under water-deficit compared with control conditions. We then carried out a genome-wide association analysis on these traits and their plasticity, using 45,608 high-quality single-nucleotide polymorphisms. One hundred four significant loci were detected for these traits under control conditions, 106 were detected under water-deficit stress, and 76 were detected for trait plasticity. We predicted 296 (control), 284 (water-deficit stress), and 233 (plasticity) a priori candidate genes within linkage disequilibrium blocks for these loci. We identified key a priori candidate genes regulating root growth and development and relevant alleles that, upon validation, can help improve rice adaptation to water-deficit stress. |
Databáze: | OpenAIRE |
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