Food and Nutrition Sciences

Volume 6, Issue 11 (August 2015)

ISSN Print: 2157-944X   ISSN Online: 2157-9458

Google-based Impact Factor: 0.92  Citations  h5-index & Ranking

Quantitative Trait Loci Underlying Seed Sugars Content in “MD96-5722” by “Spencer” Recombinant Inbred Line Population of Soybean

HTML  XML Download Download as PDF (Size: 611KB)  PP. 964-973  
DOI: 10.4236/fns.2015.611100    3,400 Downloads   4,551 Views  Citations

ABSTRACT

Sucrose, raffinose, and stachyose are important soluble sugars in soybean [Glycine max (L.) Merr.] seeds. Seed sucrose is a desirable trait for taste and flavor. Raffinose and stachyose are undesirable in diets of monogastric animals, acting as anti-nutritional factors that cause flatulence and abdominal discomfort. Therefore, reducing raffinose and stachyose biosynthesis is considered as a key quality trait goal in soy food and feed industries. The objective of this study was to identify genomic regions containing quantitative trait loci (QTL) controlling sucrose, raffinose, and stachyose in a set of 92 F5:7 recombinant inbred lines (RILs) derived from a cross between the lines “MD96-5722” and “Spencer” by using 5376 Single Nucleotide Polymorphism (SNP) markers from the Illumina Infinium SoySNP6K BeadChip array. Fourteen significant QTL were identified and mapped on eight different linkage groups (LGs) and chromosomes (Chr). Three QTL for seed sucrose content were identified on LGs N (Chr3), K (Chr9), and E (Chr15). Seven QTL were identified for raffinose content on LGs D1a (Chr1), N (Chr3), C2 (Chr6), K (Chr9), B2 (Chr14), and J (Chr16). Four QTL for stachyose content were identified on LG D1a (Chr1), C2 (Chr6), H (Chr12), and B2 (Chr14). Selection for beneficial alleles of these QTLs could facilitate breeding strategies to develop soybean lines with higher concentrations of sucrose and lower levels of raffinose and stachyose.

Share and Cite:

Akond, M. , Liu, S. , Kantartzi, S. , Meksem, K. , Bellaloui, N. , Lightfoot, D. and Kassem, M. (2015) Quantitative Trait Loci Underlying Seed Sugars Content in “MD96-5722” by “Spencer” Recombinant Inbred Line Population of Soybean. Food and Nutrition Sciences, 6, 964-973. doi: 10.4236/fns.2015.611100.

Cited by

[1] Genomic regions governing the biosynthesis of sucrose and raffinose family oligosaccharides in soybean
Journal of Plant Biochemistry and …, 2022
[2] Genome wide identification of candidate genes underlying soluble sugar content in vegetable soybean (Glycine max L.) via association and expression …
Frontiers in Plant …, 2022
[3] Mapping QTL controlling soybean seed sucrose and oligosaccharides in a single family of soybean nested association mapping (SoyNAM) population
2021
[4] Procjena fenotipske varijabilnosti saharida kod genotipova soje prikladnih za uzgoj u Europi
Journal of Central …, 2020
[5] Потенциал использования молекулярных маркеров в селекции сои
2020
[6] Assessment of phenotypic variability of saccharides in soybean genotypes suitable for growing in Europe
2020
[7] Development of Kunitz Trypsin inhibitor free vegetable soybean genotypes through marker-assisted selection
2020
[8] Food Grade Soybean Breeding, Current Status and Future Directions
2020
[9] Improving Seed Quality of Soybean Suitable for Growing in Europe
2019
[10] Detection of QTL Underlying Seed Quality Components in Soybean [Glycine max (L.) Merr.]
Canadian Journal of Plant Science, 2018
[11] Mapping quantitative trait loci controlling soybean seed starch content in an interspecific cross of 'Williams 82'(Glycine max) and 'PI 366121'(Glycine soja)
Plant Breeding, 2017
[12] Mapping quantitative trait loci controlling soybean seed starch content in an interspecific cross of 'Williams 82' (Glycine max) and 'PI 366121' (Glycine soja)
Plant Breeding, 2017
[13] Genetska varijabilnost svojstava kvalitete germplazme soje (Glycine max L. Merr.)
2016
[14] Genetic variability of soybean (Glycine max L. Merr.) germplasm seed quality
2016
[15] Fast Neutron Induced Structural Variants and Seed Composition in Soybean Lines
2016

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.