A genome-wide identification of chromosomal regions determining nitrogen use efficiency components in wheat (Triticum aestivum L.)

التفاصيل البيبلوغرافية
العنوان: A genome-wide identification of chromosomal regions determining nitrogen use efficiency components in wheat (Triticum aestivum L.)
المؤلفون: Sébastien Praud, Stéphane Lafarge, Fabien Cormier, Jacques Le Gouis, Pierre Dubreuil
المساهمون: Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Centre de Recherche de Chappes, BIOGEMMA
المصدر: TAG Theoretical and Applied Genetics
TAG Theoretical and Applied Genetics, Springer Verlag, 2014, 127 (12), pp.2679-2693. ⟨10.1007/s00122-014-2407-7⟩
Theoretical and Applied Genetics
بيانات النشر: HAL CCSD, 2014.
سنة النشر: 2014
مصطلحات موضوعية: 0106 biological sciences, Candidate gene, Linkage disequilibrium, LINKAGE DISEQUILIBRIUM, [SDV]Life Sciences [q-bio], 01 natural sciences, Genome, F30 - Génétique et amélioration des plantes, CONFIDENCE-INTERVALS, Gene Frequency, Triticum, 2. Zero hunger, 0303 health sciences, Chromosome Mapping, General Medicine, WINTER-WHEAT, GRAIN PROTEIN, MAPPING QTLS, Phenotype, [SDE]Environmental Sciences, Trait, Biotechnology, Genotype, Nitrogen, F60 - Physiologie et biochimie végétale, NUTRIENT REMOBILIZATION, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, Quantitative Trait, Heritable, PLANT HEIGHT, Genetic variation, Genetics, SNP, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, POPULATION-STRUCTURE, Fertilizers, Allele frequency, Selection (genetic algorithm), Genetic Association Studies, 030304 developmental biology, Models, Genetic, business.industry, ASSOCIATION ANALYSIS, business, Agronomy and Crop Science, HEXAPLOWHEAT, 010606 plant biology & botany, F04 - Fertilisation
الوصف: International audience; This study identified 333 genomic regions associated to 28 traits related to nitrogen use efficiency in European winter wheat using genome-wide association in a 214-varieties panel experimented in eight environments. Improving nitrogen use efficiency is a key factor to sustainably ensure global production increase. However, while high-throughput screening methods remain at a developmental stage, genetic progress may be mainly driven by marker-assisted selection. The objective of this study was to identify chromosomal regions associated with nitrogen use efficiency-related traits in bread wheat (Triticum aestivum L.) using a genome-wide association approach. Two hundred and fourteen European elite varieties were characterised for 28 traits related to nitrogen use efficiency in eight environments in which two different nitrogen fertilisation levels were tested. The genome-wide association study was carried out using 23,603 SNP with a mixed model for taking into account parentage relationships among varieties. We identified 1,010 significantly associated SNP which defined 333 chromosomal regions associated with at least one trait and found colocalisations for 39 % of these chromosomal regions. A method based on linkage disequilibrium to define the associated region was suggested and discussed with reference to false positive rate. Through a network approach, colocalisations were analysed and highlighted the impact of genomic regions controlling nitrogen status at flowering, precocity, and nitrogen utilisation on global agronomic performance. We were able to explain 40 +/- A 10 % of the total genetic variation. Numerous colocalisations with previously published genomic regions were observed with such candidate genes as Ppd-D1, Rht-D1, NADH-Gogat, and GSe. We highlighted selection pressure on yield and nitrogen utilisation discussing allele frequencies in associated regions.
وصف الملف: text
اللغة: English
تدمد: 0040-5752
1432-2242
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00a81882f10df416435320468ea32d2fTest
https://hal.inrae.fr/hal-02635490Test
حقوق: RESTRICTED
رقم الانضمام: edsair.doi.dedup.....00a81882f10df416435320468ea32d2f
قاعدة البيانات: OpenAIRE