Impact of epistasis and QTL × environmental interaction on the oil filling rate of soybean seed at different developmental stages

Abstract

The oil accumulation in the developing soybean seed has been shown to be a dynamic process with different rates and activities at different phases affected by both genotype and environment. The objective of the present study was to investigate additive, epistatic and quantitative trait loci (QTL) 9 environment interaction (QE) effects of the QTL controlling oil filling rate in soybean seed. A total of 143 recombinant inbred lines (RILs) derived from the cross of Charleston and Dongnong 594 were used in this study to obtain 2 years of field data (2004 and 2005). A total of 26 QTL with significantly unconditional and conditional additive (a) effect and/ or additive 9 environment interaction (ae) effect at different filling stages were identified on 14 linkage groups. Among the QTL with significant a effects, 18 QTL showed positive effects and 6 QTL had negative effects on seed filling rate of oil content during seed development. A total of 29 epistatic pairwise QTL underlying seed filling rate were identified at different filling stages. About 28 pairs of the QTL showed additive 9 additive epistatic (aa) effects and 14 pairs of the QTL showed aa 9 environment interaction (aae) effects at different filling stages. QTL with aa and aae (additive 9 additive 9 environment) effects appeared to vary at different filling stages. Our results demonstrated that oil filling rate in soybean seed were under genetic, developmental and environmental control.Keywords Oil filling rate Á Additive 9 additive epistatic (aa) effect Á Aa 9 environment interaction (aae) Á Soybean

Seed Water Concentration and Accumulation of Protein and Oil in Soybean Seeds

“…Interestingly, there was a common linear relationship between duration of seed component accumulation and WC M when experimental and commercial lines are combined. Recent studies identifying distinct genomic regions controlling the rate of protein and oil accumulation also support the hypothesis that these processed are largely independent ( Jiang et al, 2010( Jiang et al, , 2011. Different letters compare means at P < 0.05 within each panel.…”

Identification of major QTLs and epistatic interactions for seed protein concentration in soybean under multiple environments based on a high-density map

“…Therefore, identifying the QTLs underlying seed protein will be useful for modifying seed traits in soybeans. Inconsistent QTL detection across multi-environments might have been caused by the non-expression or weak expression of the QTLs (Jiang et al 2011). Thus, the most effective use of introgressing favorable alleles into the adapted local germplasm could be achieved by the use of QTLs contributing either directly or indirectly through trait association to seed protein content in specific adapted environments (Palomeque et al 2009).…”

Epistasis interaction of QTL effects as a genetic parameter influencing estimation of the genetic additive effect

“…Epistasis between quantitative trait loci (QTLs) assayed in populations segregating for an entire genome has been found at a frequency close to that expected by chance alone (Edwards et al , 1987; Doebley and Stec, 1991; Paterson et al , 1991; Stuber et al , 1992; De-Vicente and Tanksley, 1993; Lin et al , 1995; Xiao et al , 1995). Recently epistatic effects have been considered by many researchers as important for complex traits (Lark et al , 1995; Eshed and Zamir, 1996; Cockerham and Zeng, 1996; Yu et al , 1997; Conti et al , 2011; Gowda et al , 2011; Jiang et al , 2011; Li et al , 2011; Mao et al , 2011; Upadhyaya et al , 2011; Bocianowski, 2012a,b,c). Hence, genetic models for QTL mapping assuming no epistasis could lead to a biased estimation of QTL parameters.…”