Identification of QTL underlying the filling rate of protein at different developmental stages of soybean seed

Abstract

Seed protein content at the harvest stage is the sum of protein accumulation during seed filling. The aim of our investigation was to identify loci underlying the filling rate of seed protein at different developmental stages. To this end, we used 143 recombinant inbred lines (RILs) derived from the cross of soybean cultivars 'Charleston' and 'Dongnong 594' and composite interval mapping with a mixed genetic model. The genotype 9 environment interactions of the quantitative trait loci (QTL) were also evaluated. Thirty-nine unconditional QTL underlying the filling rate of seed protein at five developmental stages were mapped onto 14 linkage groups. The proportion of phenotypic variation explained by these QTL ranged from 4.88 to 26.05%. Thirty-eight conditional QTL underlying the filling rate of seed protein were mapped onto 16 linkage groups. The proportion of phenotypic variation explained by these QTL ranged from 1.87 to 31.34%. The numbers and types of QTL and their genetic effects on the filling rate of seed protein were different at each developmental stage. A G 9 E interaction effect was observed for some QTL.

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.…”

“…Jenner et al (1991) presented evidence that accumulation of major seed components are independently controlled. 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. This independence is to some degree reflected in the different WC L and WC M values detected for each seed component.…”

Conditional quantitative trait locus mapping of wheat seed protein-fraction in relation to starch content

“…Once the contribution of a causal trait has been excluded, the remaining variation of the resultant trait is defined as conditional variation, or net variation, which indicates the extra effects of genes that are independent of the causal trait ). This method was first applied to the studies on QTL of developmental behavior in rice (Cheng et al 2013), maize (Osman et al 2013), cotton (Ye et al 2003), soybean (Jiang et al 2010;Han et al 2011), wheat Zhu et al 2011;Jiang et al 2013). Several studies on the analysis of multiple related traits in conditional QTL mapping methods (Zhao et al 2006;Wang et al 2012), defining the genetic relationship among different traits at the QTL level.…”

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

“…The identification of these genetic factors at different developmental stages is important for a substantially improving seed filling rate. Epistatic QTL underlying important traits, such as seed weight, protein and oil contents expressed in different seed developmental stages of soybean had been reported (Han et al, 2008 ;Jiang et al, 2010) rather than seed mass filling rate.…”