QTLs for iron concentration in seeds of the cultivated lentil (Lens culinaris Medic.) via genotyping by sequencing

Lentil, Lens culinaris Medic., is an important cool season grain legume because of the high level of iron (Fe) in its seeds since Fe deficiency is widespread and causes anemia. Thus, identifying genes controlling Fe concentration in the seed was needed for mapping in the lentil genome. | Turkish Journal of Agriculture and Forestry Research Article Turk J Agric For (2017) 41: 243-255 © TÜBİTAK doi: QTLs for iron concentration in seeds of the cultivated lentil (Lens culinaris Medic.) via genotyping by sequencing 1 1 1 2 3 4 Seçil ALDEMİR , Duygu ATEŞ , Hülya YILMAZ TEMEL , Bülent YAĞMUR , Ahmad ALSALEH , Abdullah KAHRİMAN , 3 5 1, Hakan ÖZKAN , Albert VANDENBERG , Muhammed Bahattin TANYOLAÇ * 1 Department of Bioengineering, Faculty of Engineering, Ege University, İzmir, Turkey 2 Department of Plant and Soil Sciences, Ege University, İzmir, Turkey 3 Department of Field Crops, Faculty of Agriculture, Çukurova University, Adana, Turkey 4 Department of Field Crops, Faculty of Agriculture, Harran University, Şanlıurfa, Turkey 5 Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada Received: Accepted/Published Online: Final Version: Abstract: Lentil, Lens culinaris Medic., is an important cool season grain legume because of the high level of iron (Fe) in its seeds since Fe deficiency is widespread and causes anemia. Thus, identifying genes controlling Fe concentration in the seed was needed for mapping in the lentil genome. The objectives of this study were to (i) detect phenotypic variation in Fe concentration in the seeds of a recombinant inbred line (RIL) population, (ii) construct a high-density linkage map using genotyping by sequencing (GBS), and (iii) identify localization of the quantitative trait loci (QTLs) controlling genes for Fe concentration in lentil seeds. In this work, Fe concentration in seeds of the RIL population ranged from to mg per kg. A linkage map was constructed covering cM with a total of 4177 SNP markers. A total of 21 QTL regions explaining – of the phenotypic variation were identified on six linkage groups (LG1, 2, 4, 5, 6, and 7) with LOD scores ranging from

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