Lucas, Stuart J. and Salantur, Ayten and Yazar, Selami and Budak, Hikmet (2017) High-throughput SNP genotyping of modern and wild emmer wheat for yield and root morphology using a combined association and linkage analysis. Functional and Integrative Genomics . ISSN 1438-793X (Print) 1438-7948 (Online) Published Online First http://dx.doi.org/10.1007/s10142-017-0563-y
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Official URL: http://dx.doi.org/10.1007/s10142-017-0563-y
Abstract
Durum wheat (Triticum turgidum var. durum Desf.) is a major world crop that is grown primarily in areas of the world that experience periodic drought, and therefore, breeding climate-resilient durum wheat is a priority. High-throughput single nucleotide polymorphism (SNP) genotyping techniques have greatly increased the power of linkage and association mapping analyses for bread wheat, but as yet there is no durum wheat-specific platform available. In this study, we evaluate the new 384HT Wheat Breeders Array for its usefulness in tetraploid wheat breeding by genotyping a breeding population of F6 hybrids, derived from multiple crosses between T. durum cultivars and wild and cultivated emmer wheat accessions. Using a combined linkage and association mapping approach, we generated a genetic map including 1345 SNP markers, and identified markers linked to 6 QTLs for coleoptile length (2), heading date (1), anthocyanin accumulation (1) and osmotic stress tolerance (2). We also developed a straightforward approach for combining genetic data from multiple families of limited size that will be useful for evaluating and mapping pre-existing breeding material.
Item Type: | Article |
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Uncontrolled Keywords: | Triticum durum; SNP genotyping; Linkage analysis; Association mapping; Osmotic stress tolerance; Wheat wild relatives |
Subjects: | Q Science > QH Natural history > QH506 Molecular biology Q Science > QH Natural history > QH426 Genetics |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Biological Sciences & Bio Eng. Sabancı University Nanotechnology Research and Application Center Faculty of Engineering and Natural Sciences |
Depositing User: | Stuart J. Lucas |
Date Deposited: | 19 Aug 2017 17:34 |
Last Modified: | 26 Apr 2022 09:46 |
URI: | https://research.sabanciuniv.edu/id/eprint/32615 |