title: Genetic control of soybean seed oil: II. QTL and genes that increase oil concentration without decreasing protein or with increased seed yield.
abstract: Soybean [Glycine max (L.) Merrill] seed oil is the primary global source of edible oil and a major renewable and sustainable feedstock for biodiesel production. Therefore, increasing the relative oil concentration in soybean is desirable; however, that goal is complex due to the quantitative nature of the oil concentration trait and possible effects on major agronomic traits such as seed yield or protein concentration. The objectives of the present study were to study the relationship between seed oil concentration and important agronomic and seed quality traits, including seed yield, 100-seed weight, protein concentration, plant height, and days to maturity, and to identify oil quantitative trait loci (QTL) that are co-localized with the traits evaluated. A population of 203 F4:6 recombinant inbred lines, derived from a cross between moderately high oil soybean genotypes OAC Wallace and OAC Glencoe, was developed and grown across multiple environments in Ontario, Canada, in 2009 and 2010. Among the 11 QTL associated with seed oil concentration in the population, which were detected using either single-factor ANOVA or multiple QTL mapping methods, the number of QTL that were co-localized with other important traits QTL were six for protein concentration, four for seed yield, two for 100-seed weight, one for days to maturity, and one for plant height. The oil-beneficial allele of the QTL tagged by marker Sat_020 was positively associated with seed protein concentration. The oil favorable alleles of markers Satt001 and GmDGAT2B were positively correlated with seed yield. In addition, significant two-way epistatic interactions, where one of the interacting markers was solely associated with seed oil concentration, were identified for the selected traits in this study. The number of significant epistatic interactions was seven for yield, four for days to maturity, two for 100-seed weight, one for protein concentration, and one for plant height. The identified molecular markers associated with oil-related QTL in this study, which also have positive effects on other important traits such as seed yield and protein concentration, could be used in the soybean marker breeding programs aimed at developing either higher seed yield and oil concentration or higher seed protein and oil concentration per hectare. Alternatively, selecting complementary parents with greater breeding values due to positive epistatic interactions could lead to the development of higher oil soybean cultivars.
authors.affiliation: Department of Plant Agriculture, Crop Science Building, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
authors.forename: Mehrzad
authors.initials: M
authors.lastname: Eskandari
authors.forename: Elroy R
authors.initials: ER
authors.lastname: Cober
authors.forename: Istvan
authors.initials: I
authors.lastname: Rajcan
mesh_terms: D000383:Agriculture / Q000379:methods; D000704:Analysis of Variance; D001947:Breeding / Q000379:methods*; D010938:Plant Oils; D010940:Plant Proteins / Q000378:metabolism*; D040641:Quantitative Trait Loci / Q000235:genetics*; D012639:Seeds / Q000737:chemistry* / Q000254:growth & development; D013025:Glycine max / Q000737:chemistry / Q000235:genetics* / Q000254:growth & development
chemical_list: D010938:Plant Oils; D010940:Plant Proteins
references.citation: Theor Appl Genet. 1993 Sep;86(8):914-8
references.pmid: 24193997
references.citation: Crop Sci. 2002 Jan;42(1):271-277
references.pmid: 11756285
references.citation: J Genet Genomics. 2009 Dec;36(12):721-31
references.pmid: 20129399
references.citation: Genetics. 2007 Jan;175(1):361-74
references.pmid: 17110476
references.citation: Theor Appl Genet. 1992 Mar;83(5):608-12
references.pmid: 24202678
references.citation: Proc Natl Acad Sci U S A. 1995 May 9;92(10):4656-60
references.pmid: 7753859
references.citation: J Biol Chem. 2003 Aug 8;278(32):29442-53
references.pmid: 12759349
references.citation: Science. 1997 Aug 22;277(5329):1063-6
references.pmid: 9262467
references.citation: Theor Appl Genet. 2009 Aug;119(3):417-27
references.pmid: 19462148
references.citation: Theor Appl Genet. 2009 Aug;119(3):429-36
references.pmid: 19462149
references.citation: Plant Physiol. 2009 Nov;151(3):1030-40
references.pmid: 19783644
references.citation: Theor Appl Genet. 2013 Feb;126(2):483-95
references.pmid: 23192670
references.citation: Theor Appl Genet. 2004 Feb;108(3):458-67
references.pmid: 14504749
references.citation: Theor Appl Genet. 1996 Oct;93(5-6):649-57
references.pmid: 24162390
references.citation: Theor Appl Genet. 2004 Jun;109(1):122-8
references.pmid: 14991109
references.citation: Theor Appl Genet. 2007 Feb;114(3):461-72
references.pmid: 17119912
references.citation: Theor Appl Genet. 2004 Aug;109(3):552-61
references.pmid: 15221142
references.citation: Genome. 2006 Dec;49(12):1510-27
references.pmid: 17426766