Skip to main content
ARS Home » Southeast Area » Stoneville, Mississippi » Crop Genetics Research » Research » Publications at this Location » Publication #318998
Title: Identification of QTLs underlying seed micronutrients 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 KASSEM, MY - Fayetteville State University
item Mengistu, Alemu

Submitted to: Atlas Journal of Plant Biology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 2/28/2015
Publication Date: 3/12/2015
Citation: Bellaloui, N., Khandaker, L., Akond, M., Kantarzi, S.K., Meksem, K., Kassem, M.A., Mengistu, A. 2015. Identification of QTLs underlying seed micronutrients accumulation in 'MD96-5722' by 'Spencer' recombinant inbred lines of soybean. Atlas Journal of Plant Biology. 1(3):39-49.

Interpretive Summary: Micronutrients (trace elements) such iron, zinc, copper, boron, and manganese are essential for human nutrition, and unbalanced diet of these nutrients can lead to human malnutrition and health problems. Soybean is a source of these micronutrients; however, maintaining higher levels of these nutrients in soybean seed is controlled by genetic and environmental factors. To our knowledge, very little research was done to identify genetic regions associated with these micronutrients in soybean seeds. Therefore, identifying the genetic regions controlling or associated with these nutrients is critical. A soybean population (92 F5:7 recombinant inbred lines) was grown in pots under natural conditions. Genetic map was conducted using 5,376 Single Nucleotide Polymorphism (SNP) markers and the population was genotyped using 537 polymorphic, reliably segregating SNP markers. Results showed that a total of 23 genetic regions (QTLs) associated with these nutrients were identified. These genetic regions are novel and new, and will contribute to our understanding of the genetic basis of seed mineral nutrition. This research would allow breeders to efficiently select for higher seed nutritional qualities to meet the seed industry and human and livestock nutritional needs.

Technical Abstract: Genetic mapping of quantitative trait loci (QTL) associated with seed nutrition levels is almost non-existent. The objective of this study was to identify QTLs associated with seed micronutrients accumulation (concentration) in a population of 92 F5:7 recombinant inbred lines (RILs) that derived from a cross between MD 96-5722 (MD) and ‘Spencer’. For this purpose, a genetic linkage map based on 5,376 Single Nucleotide Polymorphism (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 23 QTLs for micronutrients Fe, Zn, B, Mn, and Cu have been identified and mapped on eight linkage groups (LGs) of the soybean genome. Five QTLs were detected for Fe (qIRO001- qIRO005) on LGs N, A1, K, J, and G. Seven QTLs for Zn (qZIN001-qZIN007) on LGs D1a (Chr 1), N (Chr 3), F (Chr 5), B2 (Chr 14), J (Chr 16), A1 (Chr 5), and K (Chr 9). Two QTLs for B (qBOR001 and qBOR002) were detected on LGs N and A1. Four QTLs were detected for Mn (qMAN001-qMAN004) on LGs N, A1, K, and J, and five QTLs were detected for Cu (qCOP001- qCOP005) on LGs N, A1, K, J, and G). It was observed that the four QTLs for Zn, Cu, Fe, and Mn on LGs N (Chr 3), LG A1 (Chr 5), and LG J (Chr 16) were clustered in a similar region of the linkage groups, suggesting possible shared physiological and genetic mechanisms. The QTLs detected in this study are novel and will contribute to our understanding of the genetic basis of seed mineral nutrition. This research would allow breeders to efficiently select for higher seed nutritional qualities to meet the seed industry and human and livestock nutritional needs.