A SNP-based genetic dissection of versatile traits in bread wheat (Triticum aestivum L.) |
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Authors: | Mian Abdur Rehman Arif Sajid Shokat Jörg Plieske Martin Ganal Ulrike Lohwasser Yuriy V Chesnokov Nataliya V Kocherina Pawan Kulwal Neeraj Kumar Patrick E McGuire Mark E Sorrells Calvin O Qualset Andreas Börner |
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Institution: | 1. Wheat Breeding Group, Plant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, Pakistan;2. SGS Institut Fresenius GmbH TraitGenetics Section, Am Schwabeplan 1b, Stadt Seeland, OT Gatersleben, 06466 Germany;3. Resources Genetics and Reproduction Group, Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstr. 3, Seeland, OT Gatersleben, 06466 Germany;4. Laboratory of Ecological Genetics and Plant Breeding, Agrophysical Research Institute, Grazhdanskiy pr. 14, St. Petersburg, 195220 Russia;5. State Level Biotechnology Centre, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar, Maharashtra, 413 722 India;6. Department of Plant and Environmental Sciences, Clemson University, 100C Biosystems Research Complex 105 Collings Street, Clemson, SC, 29634-0141 USA;7. Plant Sciences Department, University of California, Mail Stop 3, One Shields Avenue, Davis, CA, 95616 USA;8. Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14853 USA |
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Abstract: | The continuous increase in global population prompts increased wheat production. Future wheat (Triticum aestivum L.) breeding will heavily rely on dissecting molecular and genetic bases of wheat yield and related traits which is possible through the discovery of quantitative trait loci (QTLs) in constructed populations, such as recombinant inbred lines (RILs). Here, we present an evaluation of 92 RILs in a bi-parental RIL mapping population (the International Triticeae Mapping Initiative Mapping Population ITMI/MP]) using newly generated phenotypic data in 3-year experiments (2015), older phenotypic data (1997–2009), and newly created single nucleotide polymorphism (SNP) marker data based on 92 of the original RILs to search for novel and stable QTLs. Our analyses of more than 15 unique traits observed in multiple experiments included analyses of 46 traits in three environments in the USA, 69 traits in eight environments in Germany, 149 traits in 10 environments in Russia, and 28 traits in four environments in India (292 traits in 25 environments) with 7584 SNPs (292 × 7584 = 2 214 528 data points). A total of 874 QTLs were detected with limit of detection (LOD) scores of 2.01–3.0 and 432 QTLs were detected with LOD > 3.0. Moreover, 769 QTLs could be assigned to 183 clusters based on the common markers and relative proximity of related QTLs, indicating gene-rich regions throughout the A, B, and D genomes of common wheat. This upgraded genotype–phenotype information of ITMI/MP can assist breeders and geneticists who can make crosses with suitable RILs to improve or investigate traits of interest. |
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Keywords: | wheat single nucleotide polymorphisms genetic mapping grain yield agronomic traits candidate genes |
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