Impact of epistasis and QTL×environmental interaction on the mass filling rate during seed development of soybean

Abstract

Seed filling rate of soybean has been shown to be a dynamic process in different developmental stages affected by both genotype and environment. The objective of the present study was to determine additive, epistatic and quantitative trait loci (QTLs) × environment interaction (QE) effects of the QTL underlying a seed filling rate of soybean. One hundred and forty-three recombinant inbred lines (RILs) derived from the cross of Charleston and Dongnong 594 were used with 2 years of field data (2004 and 2005). Eleven QTLs with significantly unconditional and conditional additive (a) effect and/or additive × environment interaction (ae) effect at different filling stages were identified. Of them six QTLs showed positive a effects and four QTLs had negative a effects on the seed filling rate during seed development. aa and aae effects of 12 pairs of QTLs were identified by unconditional mapping from the initial stage to the final stage. Thirteen pairs of QTLs underlying the seed filling rate with aa and aae effects were identified by conditional mapping. QTLs with aa and aae (additive × additive × environment) effects appeared to vary at different filling stages. Our results demonstrated that the mass filling rate in soybean seed were under genetic and environmental control.

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

“…MAS studies have detected a number of QTLs for various quantitative characteristics, including physiological, morphological and quality-related traits as well as yield-related traits, such as the seed filling rate, NaCl tolerance, seed yield and seed protein content of soybeans (Varshney et al 2005;Reinprecht et al 2006;Guzman et al2007;Jun et al2008;Palomeque et al 2009;Tuyen et al 2010;Hamwieh et al 2011;Jiang et al 2012). QTL identification has become increasingly important in modern breeding programs through MAS and gene discovery (Price 2006).…”

Identification of additive and epistatic effects QTLs for seed oil content in soybean based on an integrating map of two RIL populations

“…In this study, the additive effect QTL also had epistasis effects [53,62,63], which should be carefully analyzed and evaluated in MAS to improve the seed oil content in soybean. Two additive effect QTLs qOil-9-2 (marker interval, Gm09_585590-Gm09_1201285) and qOil-15-1 (marker interval, Gm15_8908864-Gm15_9850704) showed interactions with other two QTLs (Table 4 and Table 5), such as Gm09_585590-Gm09_1201285 interacted with two QTLs Gm01_41350513-Gm01_42850670 and Gm11_18740411-Gm11_34453671, Gm15_8908864-Gm15_9850704 interacted with Gm01_41350513-Gm01_42850670, Gm09_19759328-Gm09_19958039, Gm11_18740411-Gm11_34453671, and Gm12_20168509-Gm12_7885195 interacted with Gm15_2753022-Gm15_29807975.…”