Meta-analysis of QTL reveals the genetic control of yield-related traits and seed protein content in pea
| Autor: | Pascal Marget, Hervé Houtin, Myriam Naudet-Huart, Michael Touratier, Judith Burstin, Anthony Klein, Céline Rond-Coissieux |
|---|---|
| Přispěvatelé: | Agroécologie [Dijon], Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Institut National de la Recherche Agronomique (INRA) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
0301 basic medicine Candidate gene Plant genetics Genotype Genetic Linkage Population Quantitative Trait Loci lcsh:Medicine Quantitative trait locus Biology 01 natural sciences Polymorphism Single Nucleotide Article Plant breeding 03 medical and health sciences Genetic linkage education lcsh:Science Gene Plant Proteins 2. Zero hunger Genetics education.field_of_study Multidisciplinary lcsh:R Peas Chromosome Mapping 030104 developmental biology Phenotype [SDE]Environmental Sciences Seeds Trait lcsh:Q 010606 plant biology & botany SNP array |
| Zdroj: | Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020) Scientific Reports Scientific Reports, Nature Publishing Group, 2020, 10 (1), ⟨10.1038/s41598-020-72548-9⟩ |
| ISSN: | 2045-2322 |
| Popis: | Pea is one of the most important grain legume crops in temperate regions worldwide. Improving pea yield is a critical breeding target. Nine inter-connected pea recombinant inbred line populations were evaluated in nine environments at INRAE Dijon, France and genotyped using the GenoPea 13.2 K SNP array. Each population has been evaluated in two to four environments. A multi-population Quantitative Trait Loci (QTL) analysis for seed weight per plant (SW), seed number per plant (SN), thousand seed weight (TSW) and seed protein content (SPC) was done. QTL were then projected on the multi-population consensus map and a meta-analysis of QTL was performed. This analysis identified 17 QTL for SW, 16 QTL for SN, 35 QTL for TSW and 21 QTL for SPC, shedding light on trait relationships. These QTL were resolved into 27 metaQTL. Some of them showed small confidence intervals of less than 2 cM encompassing less than one hundred underlying candidate genes. The precision of metaQTL and the potential candidate genes reported in this study enable their use for marker-assisted selection and provide a foundation towards map-based identification of causal polymorphisms. |
| Databáze: | OpenAIRE |
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