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ARS Home » Southeast Area » Stoneville, Mississippi » Crop Genetics Research » Research » Publications at this Location » Publication #319013
Title: Genetic mapping of QTLs associated with seed macronutrients accumulation in 'MD96-5722' by 'Spencer' recombinant inbred lines of soybean

Author
item Bellaloui, Nacer
item KHANDAKER, LAILA - Fayetteville State University
item AKOND, MASUM - Fayetteville State University
item KANTARZI, STELLA - Southern Illinois University
item MEKSEM, KHALID - Southern Illinois University
item Mengistu, Alemu
item KASSEM, MY - Fayetteville State University

Submitted to: Atlas Journal of Plant Biology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 3/15/2015
Publication Date: 3/19/2015
Citation: Bellaloui, N., Khandaker, L., Akond, M., Kantarzi, S.K., Meksem, K., Mengistu, A., Kassem, M.A. 2015. Genetic mapping of QTLs associated with seed macronutrients accumulation in 'MD96-5722' by 'Spencer' recombinant inbred lines of soybean. Atlas Journal of Plant Biology. 3(2):224-235.

Interpretive Summary: Macronutrients such as nitrogen, carbon, sulfur, phosphorus, potassium, magnesium, and calcium are essential for plant growth, development, and production, and their deficiency in soil leads to yield loss, disease infection, and poor seed quality. Macronutrient accumulation in seeds determines the nutritional value of seeds, and information on genetic regions controlling the accumulation of these macronutrients in seeds is scares. Therefore, understanding the physiological and genetic bases of these nutrients accumulation in seeds is critical for breeding selection for higher seed nutrition qualities. A soybean population (92 F5:7 recombinant inbred lines) was grown in pots under natural conditions. Genetic study was conducted using 5,376 Single Nucleotide Polymorphism (SNP) markers and the population was genotyped using 537 polymorphic, reliably segregating SNP markers. The results showed that a total of 8 genomic region (QTLs) were found for nitrogen, carbon, sulfur, phosphorus, potassium, magnesium, and calcium Some regions of some nutrients were found close to each other, suggesting possible common physiological and genetic relationships, indicating possible similar metabolic processes and biochemical pathways. Since most of these genomic regions, found during this study, were not found before, this research will further help breeders to improve nutrient accumulation in seeds and contribute to our understanding of the physiological and genetic bases of seed nutrition quality.

Technical Abstract: Research of genetic mapping of QTLs for macronutrient accumulation in soybean seed is limited. Therefore, the objective of this research was to identify QTLs related to macronutrients (N, C, S, P, K, Ca, and Mg) in seeds in 92 F5:7 recombinant inbred lines developed from a cross between MD 96-5722 (MD) and Spencer using a total 5,376 Single Nucleotide Polymorphism (SNPs) markers. A genetic linkage map based on SNP markers was constructed using the Illumina Infinium SoySNP6K BeadChip array. The RILs were genotyped using 537 polymorphic, reliably segregating SNP markers. A total of 8 QTLs for K (qPOT001-qPOT008) were identified on LGs D1b (Chr 1), N (Chr 3), A1 (Chr 5), O (Chr 10), F (Chr 13), B2 (Chr 14), and J (Chr 16). Four QTLs for Mg (qMAG001-qMAG004) were identified on LGs N (Chr 3), A1 (Chr 5), J (Chr 16), and G (Chr 18). One QTL for P (qPHO001), one for C on LG J (Chr 16), one for N (qNIT001) and S (qSUL001) on the same LG J (Chr 16), and one QTL for Ca (qCAL001) on LG G (Chr 18). K and Mg QTLs were clustered together on LG A1 (Chr 5) with a peak position of 9.50 cM and LOD support interval of 8.50-9.50 cM. Similar observation was noticed for P, K, Mg, C, N, and S, where the QTLs were clustered on LG J (Chr 16) with peak position of 11 cM for K, P, and S, and 10 cM for C and N, and 12 cM for Mg. The LOD support intervals for all these clustered QTLS were between 8.90 and 12.30 cM. The QTL clustering of these nutrients suggest possible common physiological and genetic relationships, suggesting possible similar metabolic processes and pathways for these nutrients. The inverse relationships between N:S ratio and all nutrients suggest possible use of N:S ratio as a measure for higher nutrients accumulation in seed. Since most of QTLs identified in this study were not previously reported, this research will further help breeders to improve nutrient accumulation in seeds and contribute to our understanding of the physiological and genetic bases of seed nutrition quality.