Abstract
Soybean seed is a major source of oil for human consumption worldwide and the main renewable feedstock for biodiesel production in North America. Increasing seed oil concentration in soybean [Glycine max (L.) Merrill] with no or minimal impact on protein concentration could be accelerated by exploiting quantitative trait loci (QTL) or gene-specific markers. Oil concentration in soybean is a polygenic trait regulated by many genes with mostly small effects and which is negatively associated with protein concentration. The objectives of this study were to discover and validate oil QTL in two recombinant inbred line (RIL) populations derived from crosses between three moderately high-oil soybean cultivars, OAC Wallace, OAC Glencoe, and RCAT Angora. The RIL populations were grown across several environments over 2 years in Ontario, Canada. In a population of 203 F3:6 RILs from a cross of OAC Wallace and OAC Glencoe, a total of 11 genomic regions on nine different chromosomes were identified as associated with oil concentration using multiple QTL mapping and single-factor ANOVA. The percentage of the phenotypic variation accounted for by each QTL ranged from 4 to 11 %. Of the five QTL that were tested in a population of 211 F3:5 RILs from the cross RCAT Angora × OAC Wallace, a “trait-based” bidirectional selective genotyping analysis validated four QTL (80 %). In addition, a total of seven two-way epistatic interactions were identified for oil concentration in this study. The QTL and epistatic interactions identified in this study could be used in marker-assisted introgression aimed at pyramiding high-oil alleles in soybean cultivars to increase oil concentration for biodiesel as well as edible oil applications.

Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
Asins MJ (2002) Present and future quantitative trait locus analysis in plant breeding. Plant Breed 121:281–291
Bernardo R (2010) Breeding for quantitative traits in plants, 2nd edn. Stemma Press, Woodbury, p 73, 141
Bowley S (1999) A hitchhiker’s guide to statistics in plant biology. Any Old Subject Books, Guelph, p 115
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
Burgal J, Shockey J, Lu CF, Dyer J, Larson T, Graham I, Browse J (2008) Metabolic engineering of hydroxy fatty acid production in plants: RcDGAT2 drives dramatic increases in ricinoleate levels in seed oil. Plant Biotechnol J 6:819–831
Burton JW (1987) Quantitative genetics: results relevant to soybean breeding. In: Wilcox JR (ed) Soybeans: improvement, production, and uses, 2nd edn. ASA, CSSA, and SSSA, Madison, pp 211–242
Clemente TE, Cahoon EB (2009) Soybean oil: genetic approaches for modification of functionality and total oil. Plant Physiol 151:1030–1040
Concibido VC, La Vallee B, Mclaird P, Pineda N, Meyer J, Hummel L, Yang J, Wu K, Delannay X (2003) Introgression of a quantitative trait locus for yield from glycine soja into commercial soybean cultivars. Theor Appl Genet 106:575–582
Csanadi G, Vollmann J, Stift G, Lelley T (2001) Seed quality QTLs identified in a molecular map of early maturing soybean. Theor Appl Genet 103:912–919
Diers BW, Keim P, Fehr WR, Shoemaker RC (1992) RFLP analysis of soybean seed protein and oil content. Theor Appl Genet 83:608–612
Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics. 4th edn. Longman, New York, pp 122–144
Field A (2005) Discovering statistics using SPSS, 2nd edn. SAGE Publication Ltd, London, p 364
Holland JB (1998) EPISTACY: a SAS program for detecting two locus epistatic interactions using genetic marker information. J Heredity 89:374–375
Hwang T, Sayama T, Takahashi M, Takada Y, Nakamoto Y, Funatsuki Y, Hisano H, Sasamoto S, Sato S, Tabata S, Kono I, Hoshi M, Hanawa M, Yano C, Xia Z, Harada K, Kitamura K, Ishimoto M (2009) High-density integrated linkage map based on SSR markers in soybean. DNA Res 16(4):213–225
Hyten DL, Pantalone VR, Sams CE, Saxton AM, Landau-Ellis D, Stefaniak TR, Schmidt ME (2004) Seed quality QTL in a prominent soybean population. Theor Appl Genet 109:552–561
Kabelka EA, Diers BW, Fehr WR, LeRoy AR, Baianu IC, You T, Neece DJ, Nelson RL (2004) Putative alleles for increased yield from soybean plant introductions. Crop Sci 44:784–791
Lardizabal K, Effertz R, Levering C, Mai J, Pedroso MC, Jury T, Aasen E, Gruys K, Bennett K (2008) Expression of Umbelopsis ramanniana DGAT2A in seed increases oil in soybean. Plant Physiol 148:89–96
Lark KG, Chase K, Adler F, Mansur LM, Orf JH (1995) Interactions between quantitative trait loci in soybean in which trait variation at one locus is conditional upon a specific allele at another. Proc Natl Acad Sci USA 92:4656–4660
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
Lee GJ, Wu X, Shannon JG, Sleper DA, Nguyen HT (2007) Soybean. In: Kole C (ed) Genome mapping and molecular breeding in plants, volume 2, oilseeds. Springer, Berlin, pp 1–3
Li HH, Ye GY, Wang JK (2007) A modified algorithm for the improvement of composite interval mapping. Genetics 175:361–374
Li R, Yu K, Hildebrand DF (2010) DGAT1, DGAT2 and PDAT expression in seeds and other tissues of epoxy and hydroxy fatty acid accumulating plants. Lipids 45:145–157
Mansur LM, Orf JH, Lark KG (1993) Determining the linkage of qualitative trait loci to RFLP markers using extreme phenotypes of recombinant inbreds of soybean (Glycine max L. Merr.). Theor Appl Genet 86:914–918
Navabi A, Mather DE, Bernier J, Spaner DM, Atlin GN (2009) QTL detection with bidirectional and unidirectional selective genotyping: marker-based and trait-based analysis. Theor Appl Genet 118:347–358
OOPSCC (2012) Ontario oil and protein seed crop committee. http://www.oopscc.org/index.php, reports 2000, 2001, and 2010
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
Palomeque L, Liu L, Li W, Hedges B, Cober E, Rajcan I (2009) QTL in mega-environments: I. Universal and speciWc seed yield QTL detected in a population derived from a cross of high-yielding adapted × high-yielding exotic soybean lines. Theor Appl Genet 119:417–427
Panthee DR, Pantalone VR, West DR, Saxton AM, Sams CE (2005) Quantitative trait loci for seed protein and oil concentration, and seed size in soybean. Crop Sci 45:2015–2022
Qi Z, Wu Q, Han X, Sun Y, Du X, Liu C, Jiang H, Hu G, Chen Q (2011) Soybean oil content QTL mapping and integrating with meta-analysis method for mining genes. Euphytica 179:499–514
Qui BX, Arelli PR, Sleper DA (1999) RFLP markers associated with soybean cyst nematode resistance and seed composition in a ‘Peking’ × ‘Essex’ population. Theor Appl Genet 98:356–364
Reinprecht Y, Poysa VW, Yu KF, Rajcan I, Ablett GR, Pauls KP (2006) Seed and agronomic QTL in low linolenic acid, lipoxygenase-free soybean (Glycine max (L.) Merrill) germplasm. Genome 49:1510–1527
Shan DP, Qi ZM, Qiu HM, Shan CY, Liu CY, Hu H, Chen QS (2008) Epistatic effects of QTLs and QE interaction effects on oil content in soybean. Acta Agron Sin 34(6):952–957
Shockey JM, Gidda SK, Chapital DC, Kuan JC, Dhanoa PK, Bland JM, Rothstein SJ, Mullen RT, Dyer JM (2006) Tung tree DGAT1 and DGAT2 have nonredundant functions in triacylglycerol biosynthesis and are localized to different subdomains of the endoplasmic reticulum. Plant Cell 18:2294–2313
Song QJ, Marek LF, Shoemaker RC, Lark KG, Concibido VC, Delannay X, Specht JE, Cregan PB (2004) A new integrated genetic linkage map of the soybean. Theor Appl Genet 109:122–128
Soybase (2011) Soybean breeder’s toolbox genetic map information. http://soybeanbreederstoolbox.org/ (Verified on 20 Feb 2012)
Soystats (2011) Soy Stats: a reference guide to important soybean fact and figures. http://www.soystats.com/2011/Default-frames.htm (Verified on 25 Jun 2011)
Specht JE, Chase K, Macrander M, Graef BL, 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
Van Ooijen JW (2009) MapQTL® 6, Software for the mapping of quantitative trait loci in experimental populations of diploid species. Kyazma B. V, Wageningen
Wilcox JR, Shibles RM (2001) Interrelationships among seed quality attributes in soybean. Crop Sci 41:11–14
Winter SMJ, Shelp BJ, Anderson TR, Welacky TW, Rajcan I (2007) QTL associated with horizontal resistance to soybean cyst nematode in Glycine soja PI464925B. Theor Appl Genet 114:461–472
Zou J, Wei Y, Jako C, Kumar A, Selvaraj G, Taylor DC (1999) The Arabidopsis thaliana TAG1 mutant has a mutation in a diacylglycerol acyltransferase gene. Plant J 19:645–653
Acknowledgments
The authors would like to thank the late Dr. G.R. Ablett, and Drs. K.P. Pauls, L.R. Erickson, Y. Kakuda, and A. Navabi (University of Guelph) for their valuable suggestions on this research. Also, the authors are grateful to Wade Montminy, Chris Grainger, Ron Guillemette, Bryan Stirling, Dennis Fischer and the entire soybean crew at the University of Guelph in Guelph and Ridgetown, Ontario, for their excellent technical assistance and support. Generous funding to conduct this research was provided by the Alternative Renewable Fuels II Program of the Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA) and by the Grain Farmers of Ontario.
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by B. Diers.
Rights and permissions
About this article
Cite this article
Eskandari, M., Cober, E.R. & Rajcan, I. Genetic control of soybean seed oil: I. QTL and genes associated with seed oil concentration in RIL populations derived from crossing moderately high-oil parents. Theor Appl Genet 126, 483–495 (2013). https://doi.org/10.1007/s00122-012-1995-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00122-012-1995-3


