RFLP loci associated with soybean seed protein and oil content across populations and locations

Abstract

Molecular markers provide the opportunity to identify marker-quantitative trait locus (QTL) associations in different environments and populations. Two soybean [Glycine max (L.) Merr.] populations, 'Young' x PI 416 937 and PI 97100 x 'Coker 237', were evaluated with restriction fragment length polymorphism (RFLP) markers to identify additional QTLs related to seed protein and oil. For the Young x PI 416937 population, 120 F4-derived lines were secored for segregation at 155 RFLP loci. The F4-derived lines and two parents were grown at Plains, G.a., and Windblow and Plymouth, N.C. in 1994, and evaluated for seed protein and oil. For the PI 97100 x Coker 237 population, 111 F2-derived lines were evaluated for segregation at 153 RFLP loci. Phenotypic data for seed protein and oil were obtained in two different locations (Athens, G.a., and Blackville, S.C.) in 1994. Based on single-factor analysis of variance (ANOVA) for the Young x PI 416937 population, five of seven independent markers associated with seed protein, and all four independent markers associated with seed oil in the combined analysis over locations were detected at all three locations. For the PI 97 100 x Coker 237 population, both single-factor ANOVA and interval mapping were used to detect QTLs. Using single-factor ANOVA, three of four independent markers for seed protein and two of three independent markers for seed oil were detected at both locations. In both populations, singlefactor ANOVA, revealed the consistency of QTLs across locations, which might be due to the high heritability and the relatively few QTLs with large effects conditioning these traits. However, interval mapping of the PI 97100 x Coker 237 population indicated that QTLs identified at Athens for seed protein and oil were different from those at Blackville. This might result from the power of QTL mapping being dependent on the level of saturation of the genetic map. Increased seed protein was associated with decreased seed oil in the PI 97100 x Coker 237 population (r = -0.61). There were various common markers (P[Symbol: see text]0.05) on linkage groups (LG) E, G,H,K, and UNK2 identified for both seed protein and oil. One QTL on LG E was associated with seed protein in both populations. The other QTLs for protein and oil were population specific.

Seed quality QTL in a prominent soybean population

“…This study reports only significant QTL found through CIM, but to create a complete comparison with previously reported QTL, the markers not significantly associated with an interval via CIM but found to be significantly associated with the trait through simple linear regression are included in tables 3, 4, and 5. Lee et al (1996) a. QTL that had no SSR markers tested within 20 cM in the Essex × Williams population. b.…”

“…Only QTL previously reported in SoyBase (1995) on linkage groups C2, F, K, and M were significant with markers linked closely to significant QTL intervals found in the Essex × Williams population. Lee et al (1996) Prot 5-6 -A132_4 -13 -0.05 PI97100 Coker237 Lee et al (1996) a. QTL that had no SSR markers tested within 20 cM in the Essex × Williams population…”

Identification of SSR markers associated with seed coat permeability and electrolyte leaching in soybean

“…Diers et al (1992) used the same interspecific soybean population to identify several molecular marker loci that were significantly associated with QTLs for seed protein and oil. Other workers utilized molecular markers to identify several genomic regions significantly associated with seed protein, oil, seed weight and sucrose content in different intraspecific soybean populations (Mansure et al, 1993;Lee et al, 1996;Mian et al, 1996;Maughan et al, 1996;Brummer et al, 1997). The objective of this study was to use SSR markers to identify quantitative trait loci associated with seed coat permeability and electrolyte leaching in an intraspecific F 2 soybean population.…”

Genetic Control of Storage Oil Synthesis in Seeds of Arabidopsis

“…With the advent of molecular markers and the development of quantitative trait loci (QTL) mapping procedures, genes that control storage lipid synthesis can be identified and marker-assisted selection used to move beneficial QTL alleles into elite agricultural genotypes in oilseed breeding programs (Lande and Thompson, 1990). QTL analyses of oil content have been made in a number of crops, including oilseed rape (Brassica napus; Ecke et al, 1995;Burns et al, 2003), soybean (Glycine max; Lee et al, 1996;Csanadi et al, 2001), maize (Zea mays; Alrefai et al, 1995), and sunflower (Helianthus annuus; Mokrani et al, 2002;Leon et al, 2003). An analysis of groat oil content in oats revealed the presence of a small number of QTLs and an association between the major QTL and the plastidic acetyl-CoA carboxylase gene (Kianian et al, 1999).…”