Skip to main content
Log in

Impact of seed protein alleles from three soybean sources on seed composition and agronomic traits

  • Original Article
  • Published:
Theoretical and Applied Genetics Aims and scope Submit manuscript

Abstract

Key message

Evaluation of seed protein alleles in soybean populations showed that an increase in protein concentration is generally associated with a decrease in oil concentration and yield.

Abstract

Soybean [Glycine max (L.) Merrill] meal is one of the most important plant-based protein sources in the world. Developing cultivars high in seed protein concentration and seed yield is a difficult task because the traits have an inverse relationship. Over two decades ago, a protein quantitative trait loci (QTL) was mapped on chromosome (chr) 20, and this QTL has been mapped to the same position in several studies and given the confirmed QTL designation cqSeed protein-003. In addition, the wp allele on chr 2, which confers pink flower color, has also been associated with increased protein concentration. The objective of our study was to evaluate the effect of cqSeed protein-003 and the wp locus on seed composition and agronomic traits in elite soybean backgrounds adapted to the Midwestern USA. Segregating populations of isogenic lines were developed to test the wp allele and the chr 20 high protein QTL alleles from Danbaekkong (PI619083) and Glycine soja PI468916 at cqSeed protein-003. An increase in protein concentration and decrease in yield were generally coupled with the high protein alleles at cqSeed protein-003 across populations, whereas the effects of wp on protein concentration and yield were variable. These results not only demonstrate the difficulty in developing cultivars with increased protein and yield but also provide information for breeding programs seeking to improve seed composition and agronomic traits simultaneously.

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.

Similar content being viewed by others

References

  • Abney TS, Crochet WD (2003) Uniform soybean tests northern states, 2003. USDA-ARS, West Lafayette

    Google Scholar 

  • Abney TS, Crochet WD (2006) Uniform soybean tests northern states, 2006. USDA-ARS, West Lafayette

    Google Scholar 

  • Bandillo N, Jarquin D, Song Q, Nelson R, Cregan P, Specht J, Lorenz A (2015) A population structure and genome-wide association analysis on the USDA soybean germplasm collection. Plant Genome 8(3). doi:10.3835/plantgenome2015.04.0024

  • Bell-Johnson B, Garvey G, Johnson J, Lightfoot D, Meksem K (1998) Biotechnology approaches to improving resistance to SCN and SDS: methods for high throughput marker assisted selection. Soybean Genet Newsl 25:115–117

    Google Scholar 

  • Bolon YT, Joseph B, Cannon SB, Graham MA, Diers BW, Farmer AD, May GD, Muehlbauer GJ, Specht JE, Tu ZJ, Weeks N (2010) Complementary genetic and genomic approaches help characterize the linkage group I seed protein QTL in soybean. BMC Plant Biol 10:41

    Article  PubMed  PubMed Central  Google Scholar 

  • Brim CA, Burton JW (1979) Recurrent selection in soybeans II: selection for increased percent protein in seeds. Crop Sci 19:494–498

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Carrera C, Martínez MJ, Dardanelli J, Balzarini M (2009) Water deficit effect on the relationship between temperature during the seed fill period and soybean seed oil and protein concentrations. Crop Sci 49:990–998

    Article  Google Scholar 

  • Cary TR, Diers BW (2007) Northern regional soybean cyst nematode tests. University of Illinois, Urbana

    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 

  • Cober ER, Voldeng HD (2000) Developing high-protein, high-yield soybean populations and line. Crop Sci 40:39–42

    Article  Google Scholar 

  • Cregan P, Quigley C (1997) Simple sequence repeat DNA marker analysis. In: Caetano-Anolles G, Gresshoff PM (eds) DNA markers: protocols, applications, and overviews. Wiley, New York, pp 173–185

    Google Scholar 

  • Crochet WD, Hughes T (2011) Uniform soybean tests northern states, 2009. USDA-ARS, West Lafayette

    Google Scholar 

  • Cromwell GL (2012) Soybean meal: an exceptional protein source. Soybean Meal InfoCenter. http://www.soymeal.org/ReviewPapers/SBMExceptionalProteinSource.pdf. Accessed 30 Jan 2017

  • Diers BW, Keim P, Fehr WR, Shoemaker RC (1992) RFLP analysis of soybean seed protein and oil content. Theor Appl Genet 83:608–612

    Article  CAS  PubMed  Google Scholar 

  • Diers BW, Cary TR, Thomas DJ, Nickell CD (2006) Registration of ‘LD00-3309’ soybean. Crop Sci 46:1384

    Article  Google Scholar 

  • Dornbos DL, Mullen RE (1992) Soybean seed protein and oil contents and fatty acid composition adjustments by drought and temperature. J Am Oil Chem Soc 69:228–231

    Article  CAS  Google Scholar 

  • Eskandari M, Cober ER, Rajcan I (2013) Genetic control of soybean seed oil: II. QTL and genes that increase oil concentration without decreasing protein or with increased seed yield. Theor Appl Genet 126:1677–1687

    Article  CAS  PubMed  Google Scholar 

  • Fasoula VA, Harris DK, Boerma HR (2004) Validation and designation of quantitative trait loci for seed protein, seed oil, and seed weight from two soybean populations. Crop Sci 44:1218–1225

    Article  CAS  Google Scholar 

  • Fehr W, Caviness C, Burmood D, Pennington J (1971) Stage of development descriptions for soybeans, Glycine Max (L.) Merrill. Crop Sci 11:929–931

    Article  Google Scholar 

  • Gibson LR, Mullen RE (1996) Soybean seed composition under high day and night growth temperatures. J Am Oil Chem Soc 73:733–737

    Article  CAS  Google Scholar 

  • Hanson WD, Leffel RC, Howell RW (1961) Genetic analysis of energy production in the Soybean. Crop Sci 1:121–126

    Article  CAS  Google Scholar 

  • Harris DK (2001) Genetic improvement of soybean seed traits and resistance to bud blight and root-knot nematodes. MS thesis, University of Georgia

  • Hartwig EE, Kilen TC (1991) Yield and composition of soybean seed from parents with different protein, similar yield. Crop Sci 31:290–292

    Article  CAS  Google Scholar 

  • Hegstad JM, Vodkin LO, Nickell CD (2000) Genetic and agronomic evaluation of wp-m in soybean. Crop Sci 40:346–351

    Article  Google Scholar 

  • Holbrook CC, Burton JW, Carter TE (1989) Evaluation of recurrent restricted index selection for increasing yield while holding seed protein constant in soybean. Crop Sci 29:324–329

    Article  Google Scholar 

  • Hwang EY, Song Q, Jia G, Specht JE, Hyten DL, Costa J, Cregan PB (2014) A genome-wide association study of seed protein and oil content in soybean. BMC Genom 15:1

    Article  Google Scholar 

  • Jarquin D, Kocak K, Posadas L, Hyma K, Jedlicka J, Graef G, Lorenz A (2014) Genotyping by sequencing for genomic prediction in a soybean breeding population. BMC Genom 15:740

    Article  Google Scholar 

  • Jarquin D, Specht J, Lorenz A (2016) Prospects of genomic prediction in the USDA soybean germplasm collection: historical data creates robust models for enhancing selection of accessions. G3 Genes Genomes Genet 6:2329–2341

    Google Scholar 

  • Keim P, Olson R, Shoemaker R (1988) A rapid protocol for isolating soybean DNA. Soybean Genet Newsl 12:150–152

    Google Scholar 

  • Kerley MS, Allee GL (2003) Modifications in soybean seed composition to enhance animal feed use and value: moving from a dietary ingredient to a functional dietary component. AgBioForum 6:14–17

    Google Scholar 

  • Kim SD, Hong EH, Kim YH, Lee SH, Seong YK, Park KY, Lee YH, Hwang EH, Park EH, Kim HS, Ryu YH, Park RK, Kim YS (1996) A new high protein and good seed quality soybean variety “Danbaegkong” (in Korean). RDA J Agric Sci Upland Ind Crops 38:228–232

    Google Scholar 

  • Kim M, Schultz S, Nelson R, Diers BW (2015) Identification and fine mapping of a soybean seed protein QTL from PI 407788A on chromosome 15. Crop Sci 56:219–225

    Article  Google Scholar 

  • Lee SH, Bailey MA, Mian RM, Carter TE, Shipe ER, Ashley DA, Parrot 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 

  • Littell RC, Milliken GA, Stroup WW, Wolfinger RD, Schabenberger O (2006) SAS® for mixed models, 2nd edn. SAS Institute Inc, Cary

    Google Scholar 

  • Liu K (1997) Soybeans: chemistry, technology, and utilization. Chapman and Hall, New York

    Book  Google Scholar 

  • Mian R, McHale L, Li Z, Dorrance AE (2017) Registration of ‘Highpro1’ Soybean with high protein and high yield developed from a north × south cross. J Plant Reg 11:51–54

    Article  Google Scholar 

  • Nichols D, Glover K, Carlson S, Specht J, Diers B (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 

  • Nickell CD, Thomas DJ, Cary TR, Heavner D (1996) Registration of ‘Macon’ soybean. Crop Sci 36:1410

    Google Scholar 

  • Nickell CD, Noel GR, Cary TR, Thomas DJ, Leitz RA (1998) Registration of ‘Dwight’ soybean. Crop Sci 38:1398

    Google Scholar 

  • Nickell CD, Noel GR, Cary TR, Thomas DJ, Diers BW (2001) Registration of ‘Loda’ soybean. Crop Sci 41:589–590

    Article  Google Scholar 

  • Nowling GL (2001) Uniform soybean tests northern states, 2001. USDA-ARS, West Lafayette

    Google Scholar 

  • Phansak P, Soonsuwon W, Hyten DL, Song Q, Cregan PB, Graef GL, Specht JE (2016) Multi-population selective genotyping to identify soybean (Glycine max (L.) Merr.) seed protein and oil QTLs. G3 Genes Genomes Genet 6:1635–1648

    Google Scholar 

  • Qi Z, Pan J, Han X, Qi H, Xin D, Li W, Mao X, Wang Z, Jiang H, Liu C, Hu Z, Hu G, Zhu R, Chen Q (2016) Identification of major QTLs and epistatic interactions for seed protein concentration in soybean under multiple environments based on a high-density map. Mol Breed 36:1–16

    Article  CAS  Google Scholar 

  • Recker JR, Burton JW, Cardinal A, Miranda L (2014) Genetic and phenotypic correlations of quantitative traits in two long-term randomly mated soybean populations. Crop Sci 54:939–943

    Article  Google Scholar 

  • SAS Institute (2016) The SAS system for microsoft windows, release 9.4. SAS Inst, Cary

  • Schmidt ME, Klein JH (2002) Registration of ‘LS93-0375’ soybean. Crop Sci 42:1375

    Article  Google Scholar 

  • Sebolt A, Shoemaker R, Diers B (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 

  • Shimura E, Hanson WD (1970) Covariance analysis involving energy production and distribution among seed fractions by soybean genotypes, Glycine max (L.) Merrill. Crop Sci 10:242–246

    Article  Google Scholar 

  • Sinclair TR, de Wit CT (1975) Photosynthate and nitrogen requirements for seed production by various crops. Science 189:565–567

    Article  CAS  PubMed  Google Scholar 

  • Sonah H, O’Donoughue L, Cober E, Rajcan I, Belzile F (2015) Identification of loci governing eight agronomic traits using a GBS-GWAS approach and validation by QTL mapping in soya bean. Plant Biotechnol J 13:211–221

    Article  CAS  PubMed  Google Scholar 

  • SoyBase and the Soybean Breeder’s Toolbox (2017) Soybean breeder’s toolbox genetic map information. http://www.soybase.org. Accessed 30 Jan 2017

  • Specht J, Chase K, Macrander M, Graef G, Chung J, Markwell J, Germann M, Orf J, Lark K (2001) Soybean response to water. Crop Sci 41:493–509

    Article  CAS  Google Scholar 

  • Stephens PA, Nickell CD (1992) Inheritance of pink flower in soybean. Crop Sci 32:1131–1132

    Article  Google Scholar 

  • Stephens PA, Nickell CD, Vodkin LO (1993) Pink flower color associated with increased protein and seed size in soybean. Crop Sci 33:1135–1137

    Article  CAS  Google Scholar 

  • USDA-ARS (2017) National Genetic Resources Program. Germplasm Resources Information Network-(GRIN). National Germplasm Resources Laboratory, Beltsville. https://npgsweb.ars-grin.gov/gringlobal. Accessed 12 Jan 2017

  • Vaughn JN, Nelson RL, Song Q, Cregan PB, Li Z (2014) The genetic architecture of seed composition in soybean is refined by genome-wide association scans across multiple populations. G3 Genes Genomes Genet 4:2283–2294

    Google Scholar 

  • Wang D, Shi J, Carlson S, Cregan P, Ward R, Diers B (2003) A low-cost, high-throughput polyacrylamide gel electrophoresis system for genotyping with microsatellite DNA markers. Crop Sci 43:1828–1832

    Article  CAS  Google Scholar 

  • Wang X, Jiang GL, Green M, Scott RA, Son Q, Hyten DL, Cregan PB (2014) Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean. Mol Genet Genom 289:935–949

    Article  CAS  Google Scholar 

  • Warrington CV, Abdel-Haleem H, Hyten DL, Cregan PB, Orf JH, Killam AS, Bajjalieh N, Li Z, Boerma HR (2015) QTL for seed protein and amino acids in the Benning × Danbaekkong soybean population. Theor Appl Genet 128:839–850

    Article  CAS  PubMed  Google Scholar 

  • Wehrmann VK, Fehr WR, Cianzio SR, Cavins JF (1987) Transfer of high seed protein to high-yielding soybean cultivars. Crop Sci 27:927–931

    Article  Google Scholar 

  • Wilcox JR, Cavins JF (1995) Backcrossing high seed protein to a soybean cultivar. Crop Sci 35:1036–1041

    Article  Google Scholar 

  • Wilcox JR, Shibles RM (2001) Interrelationships among seed quality attributes in soybean. Crop Sci 41:11–14

    Article  CAS  Google Scholar 

  • Wilson RF (2004) Seed composition. In: Boerma HR, Specht JE (eds) Soybeans: improvement, production, and uses, 3rd edn. Agron Monogr No 16. ASA, CSSA, and SSSA, Madison, pp 621–677

  • Wilson RF (2008) Soybean: Market driven research needs. In: Stacey G (ed) Genetics and genomics of soybean, 2nd edn. Springer, New York, pp 3–14

    Chapter  Google Scholar 

  • Xavier A, Muir WM, Rainey KM (2016) Assessing predictive properties of genome-wide selection in soybeans. G3 Genes Genomes Genet 6:2611–2616

    Google Scholar 

  • Yates JL (2006) Use of diverse germplasm to improve peanut root-knot nematode resistance and seed protein content in soybean. Dissertation, University of Georgia

  • Zabala G, Vodkin LO (2005) The wp mutation of Glycine max carries a gene-fragment-rich transposon of the CACTA superfamily. Plant Cell 17:2619–2632

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This research was supported by funding from the United Soybean Board (USB) to BWD and LFB.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brian W. Diers.

Ethics declarations

Conflict of interest

The authors declared that they have no conflict of interest.

Additional information

Communicated by Dr. Istvan Rajcan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brzostowski, L.F., Pruski, T.I., Specht, J.E. et al. Impact of seed protein alleles from three soybean sources on seed composition and agronomic traits. Theor Appl Genet 130, 2315–2326 (2017). https://doi.org/10.1007/s00122-017-2961-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00122-017-2961-x

Navigation