Skip to main content
Log in

Quantitative trait locus analysis of seed sulfur-containing amino acids in two recombinant inbred line populations of soybean

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

Soybean (Glycine max (L.) Merr.) is a major source of plant protein for humans and livestock. Deficiency of sulfur-containing amino acids (cysteine and methionine) in soybean protein is a main limitation of soybean meal as an animal feed ingredient. The objectives of this study were to identify and validate quantitative trait loci (QTLs) associated with cysteine and methionine contents in two recombinant inbred line (RIL) populations, and to analyze the genetic effects of individual QTLs and QTL combinations in soybean. Both the mapping population of SD02-4-59 × A02-381100 and validation population of SD02-911 × SD00-1501 were evaluated for cysteine and methionine contents in multiple environments. Correlation analysis indicated that there was a highly positive correlation between cysteine and methionine contents. Significant positive correlations were also observed between the sulfur-containing amino acid contents and protein content. In the mapping population, eight QTLs for both cysteine and methionine contents were consistently detected in any individual environment and the average data over all three environments. Three of these QTLs were confirmed in the validation population. A comparison with the previous studies indicated that most of the genomic regions linked to the QTLs for the sulfur-containing amino acids were also associated with protein content. Cumulative effects of multiple QTLs for the traits were significant in both populations. This information should be useful for the improvement of the levels of protein and amino acids in soybean seeds.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Baianu IC, You T, Costescu DM, Lozano PR, Prisecaru V, Nelson RL (2012) Determination of soybean oil, protein and amino acid residues in soybean seeds by high resolution nuclear magnetic resonance (NMRS) and near infrared (NIRS). Nat Precedings. doi:10.1038/npre.2012.7053.1

    Google Scholar 

  • Brummer EC, Graef GL, Orf J, Wilcox JR, Shoemaker RC (1997) Mapping QTL for seed protein and oil content in eight soybean populations. Crop Sci 37:370–378

    Article  Google Scholar 

  • Chung J, Babka HL, Graef GL, Staswick PE, Lee DJ, Cregan PB, Shoemaker RC, Specht JE (2003) The seed protein, oil, and yield QTL on soybean linkage group I. Crop Sci 43:1053–1067

    Article  CAS  Google Scholar 

  • Clarke EJ, Wiseman J (2000) Developments in plant breeding for improved nutritional quality of soybeans I. Protein and amino acids content. J Agric Sci 134:111–124

    Article  CAS  Google Scholar 

  • Cornelious B, Chen P, Chen Y, de Leon N, Shannon JG, Wang D (2005) Identification of QTLs underlying water-logging tolerance in soybean. Mol Breeding 16:103–112

    Article  Google Scholar 

  • Fallen BD, Hatcher CN, Allen FL, Kopsell DA, Saxton AM, Chen P, Kantartzi SK, Cregan PB, Hyten DL, Pantalone VR (2013) Soybean seed amino acid content QTL detected using the Universal Soy Linkage Panel 1.0 with 1,536 SNPs. J Plant Genome Sci 3:68–79

    Google Scholar 

  • Fehr WR (1987) Principles of cultivar development—Volume 1, Theory and Technique. Macmillan Publishing Company, New York

    Google Scholar 

  • George AA, de Lumen BO (1991) A novel methionine-rich protein in soybean seed: identification, amino acid composition, and n-terminal sequence. J Agric Food Chem 39:224–227

    Article  CAS  Google Scholar 

  • Holland JB (2006) Estimating genotypic correlations and their standard errors using multivariate restricted maximum likelihood estimation with SAS Proc MIXED. Crop Sci 46:642–654

    Article  Google Scholar 

  • Huang N, Angeles ER, Domingo J, Magpantay G, Singh S, Zang G, Kumaravadivel N, Bennet J, Khush GS (1997) Pyramiding of bacterial blight resistance genes in rice: marker-assisted selection using RFLP and PCR. Theor Appl Genet 95:313–320

    Article  CAS  Google Scholar 

  • Hughes CA, Gebhardt JS, Reuss A, Matthews BF (1999) Identification and expression of a cDNA encoding cystathionine γ-synthase in soybean. Plant Sci 146:69–79

    Article  CAS  Google Scholar 

  • Hyten DL, Choi IY, Song QJ, Specht JE, Carter TE, Shoemaker RC, Hwang EY, Matukumalli LK, Cregan PB (2010) A high density integrated genetic linkage map of soybean and the development of a 1,536 Universal Soy Linkage Panel for QTL mapping. Crop Sci 50:960–968

    Article  CAS  Google Scholar 

  • Imsande J (2001) Selection of soybean mutants with increased concentrations of seed methionine and cysteine. Crop Sci 41:510–515

    Article  CAS  Google Scholar 

  • Jiang G-L, Shi JR, Ward RW (2007) QTL analysis of resistance to Fusarium head blight in the novel wheat germplasm CJ 9306. I. Resistance to fungal spread. Theor Appl Genet 116:3–13

    Article  CAS  PubMed  Google Scholar 

  • Jun T-H, Van K, Kim MY, Lee S-H, Walker DR (2008) Association analysis using SSR markers to find QTL for seed protein content in soybean. Euphytica 162:179–191

    Article  CAS  Google Scholar 

  • Kim J, Leustek T (2000) Repression of cystathionine γ-synthase in Arabidopsis thaliana produces partial methionine auxotrophy and developmental abnormalities. Plant Sci 151:9–18

    Article  CAS  Google Scholar 

  • Kim H, Hirai MY, Hayashi H, Chino M, Naito S, Fujiwara T (1999) Role of O-acetyl-l-serine in the coordinated regulation of the expression of a soybean seed storage-protein gene by sulfur and nitrogen nutrition. Planta 209:282–289

    Article  CAS  PubMed  Google Scholar 

  • Kovalenko IV, Rippke GR, Hurburgh CR (2006) Determination of amino acid composition of soybeans (Glycine max) by near-infrared spectroscopy. J Agric Food Chem 54:3485–3491

    Article  CAS  PubMed  Google Scholar 

  • Krishnan HB (2005) Engineering soybean for enhanced sulfur amino acid content. Crop Sci 45:454–461

    Article  CAS  Google Scholar 

  • Kwanyuen P, Pantalone VR, Burton JW, Wilson RF (1997) A new approach to genetic alteration of soybean protein composition and quality. JAOCS 74:983–987

    CAS  Google Scholar 

  • Lee SH, Bailey MA, Mian MAR, Carter TE, Shipe ER, Ashley DA, Parrott WA, Hussey RS, Boerma HR (1996) RFLP loci associated with soybean seed protein and oil content across populations and locations. Theor Appl Genet 93:649–657

    Article  CAS  PubMed  Google Scholar 

  • Li X, Han Y, Teng W, Zhang S, Yu K, Poysa V, Anderson T, Ding J, Li W (2010) Pyramided QTL underlying tolerance to Phytophthora root rot in mega-environment from soybean cultivars ‘conrad’ and ‘Hefeng 25’. Theor Appl Genet 121:651–658

    Article  PubMed  Google Scholar 

  • Liu SM, Masters DG (2003) Amino acid utilization for wool production. In: D’Mello JPF (ed) Amino acids in animal nutrition, 2nd edn. CABI Publishing, Cambridge, MA, pp 309–328

    Chapter  Google Scholar 

  • Nichols DM, Golver KD, Carlson SR, Specht JE, Diers BW (2006) Fine mapping of a seed protein QTL on soybean linkage group I and its correlated effects on agronomic traits. Crop Sci 46:834–839

    Article  Google Scholar 

  • Njiti VN, Johnson JE, Torto TA, Gray LE, Lightfoot DA (2001) Inoculum rate influences selection for field resistance to soybean sudden death syndrome in the greenhouse. Crop Sci 41:1726–1731

    Article  Google Scholar 

  • Njiti VN, Meksem K, Iqbal MJ, Johnson JE, Kassem MA, Zobrist KF, Kilo VY, Lightfoot DA (2002) Common loci underlie field resistance to soybean sudden death syndrome in Forrest, Pyramid, Essex, and Douglas. Theor Appl Genet 104:294–300

    Article  CAS  PubMed  Google Scholar 

  • Nordlee JA, Taylor SL, Twonsend JA, Thomas LA, Bush RK (1996) Identification of a brazil-nut allergen in transgenic soybeans. New Engl J Med 334:688–692

    Article  CAS  PubMed  Google Scholar 

  • Olsen MS, Krone TL, Phillips RL (2003) Bsss53 as a donor source for increased whole-kernel methionine in maize: selection and evaluation of high-methionine inbreds and hybrids. Crop Sci 43:1634–1642

    Article  CAS  Google Scholar 

  • Orf JH, Chase K, Jarvik T, Mansur LM, Cregan PB, Adler FR, Lark KG (1999) Genetics of soybean agronomic traits: i comparison of three related recombinant inbred populations. Crop Sci 39:1642–1651

    Article  Google Scholar 

  • Palomeque L, Liu LJ, Li W, Hedges BR, Cober ER, Smid MP, Lukens L, Rajcan I (2010) Validation of mega-environment universal and specific QTL associated with seed yield and agronomic traits in soybeans. Theor Appl Genet 120:997–1003

    Article  PubMed  Google Scholar 

  • Panthee DR, Pantalone VR, Sams CE, Saxton AM, West DR, Orf JH, Killam AS (2006a) Quantitative trait loci controlling sulfur containing amino acids, methionine and cysteine, in soybean seeds. Theor Appl Genet 112:546–553

    Article  CAS  PubMed  Google Scholar 

  • Panthee DR, Pantalone VR, Saxton AM, West DR, Sams CE (2006b) Genomic regions associated with amino acid composition in soybean. Mol Breeding 17:79–89

    Article  CAS  Google Scholar 

  • Ravanel S, Gakière B, Job D, Douce R (1998) The specific features of methionine biosynthesis and metabolism in plants. Proc Natl Acad Sci USA 95:7805–7812

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Saito K (1999) Biosynthesis of cysteine. In: Singh BK (ed) Plant amino acids: biochemistry and biotechnology. Marcel Dekker Inc, New York, pp 267–291

    Google Scholar 

  • Saito K, Yokoyama H, Noji M, Murakoshi I (1995) Molecular cloning and characterization of a plant serine acetyltransferase playing a regulatory role in cysteine biosynthesis from watermelon. J Biol Chem 270:16321–16326

    Article  CAS  PubMed  Google Scholar 

  • Sebolt AM, Shoemaker RC, Diers BW (2000) Analysis of a quantitative trait locus allele from wild soybean that increases seed protein concentration in soybean. Crop Sci 40:1438–1444

    Article  CAS  Google Scholar 

  • Song Q, Jia G, Zhu Y, Grant D, Nelson RT, Hwang E-Y, Hyten DL, Cregan PB (2010) Abundance of SSR motifs and development of candidate polymorphic markers (BARCSOYSSR_1.0) in soybean. Crop Sci 50:1950–1960

    Article  CAS  Google Scholar 

  • Specht JE, Chase K, Macrander M, Graef GL, Chung J, Markwell JP, Germann M, Orf JH, Lark KG (2001) Soybean response to water: a QTL analysis of drought tolerance. Crop Sci 41:493–509

    Article  CAS  Google Scholar 

  • Townsend JA, Thomas LA (1994) Factors which influence the Agrobacterium-mediated transformation of soybean. J Cell Biochem Suppl 18A:X1–X014

    Google Scholar 

  • Wang D, Graef GL, Procopiuk AM, Deirs BW (2004) Identification of putative QTL that underlie yield in interspecific soybean backcross populations. Theor Appl Genet 108:458–467

    Article  CAS  PubMed  Google Scholar 

  • Wang S, Basten CJ, Zeng ZB (2005) Windows QTL Cartographer 2.5. Department of Statistics, North Carolina State University, Raleigh, NC

    Google Scholar 

  • Wang J, Li H, Zhang L, Li C, Meng L (2011) QTL IciMapping V3.1. Institute of Crop science and CIMMT China, Chinese Academy of Agriculture Sciences, Beijing, China

    Google Scholar 

  • Wang X, Jiang G-L, Green M, Scott RA, Hyten DL, Cregan PB (2012) Quantitative trait locus analysis of saturated fatty acids in a population of recombinant inbred lines of soybean. Mol Breeding 30:1163–1179

    Article  Google Scholar 

  • Wang X, Jiang G-L, Green M, Scott RA, Hyten DL, Cregan PB (2014a) QTL analysis of unsaturated fatty acids in a recombinant inbred population of soybean. Mol Breeding 33:281–296

    Article  CAS  Google Scholar 

  • Wang X, Jiang G-L, Green M, Scott RA, Song Q, Hyten DL, Cregan PB (2014b) Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean. Mol Genet Genomics. doi:10.1007/s00438-014-0865-x

    Google Scholar 

  • Yesudas CR, Bashir R, Geisler MB, Lightfoot DA (2013) Identification of germplasm with stacked QTL underlying seed traits in an inbred soybean population from cultivars Essex and Forrest. Mol Breeding 31:693–703

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This research was supported in part by the South Dakota Agricultural Experiment Station and USDA-NIFA/CSREES Hatch project, and the grants of USB Seed Composition Research project via USDA/ARS and South Dakota Soybean Research & Promotion Council project awarded to Guo-Liang Jiang. The authors are grateful to Dr. David Hyten for assistance in SNP genotyping and Dr. Kristin Bilyeu for GmFAD3 genotyping. Thanks also go to Marci Green, Siddhi Bhusal, Nicholas Hall and Sivananda Tirumalaraju for assistance in field experiments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guo-Liang Jiang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, X., Jiang, GL., Song, Q. et al. Quantitative trait locus analysis of seed sulfur-containing amino acids in two recombinant inbred line populations of soybean. Euphytica 201, 293–305 (2015). https://doi.org/10.1007/s10681-014-1223-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10681-014-1223-0

Keywords

Navigation