Abstract
AbstractProtein content (PC) and oil content (OC) are important breeding traits of soybean [Glycine max(L.) Merr.]. Quantitative trait locus (QTL) mapping for PC and OC is important for molecular breeding in soybean; however, the negative correlation between PC and OC influences the accuracy of QTL mapping. In the current study, a four-way recombinant inbred lines (FW-RILs) population comprising 160 lines derived from the cross (Kenfeng14 × Kenfeng15) × (Heinong48 × Kenfeng19) was planted in eight different environments and PC and OC measured. Conditional and unconditional QTL analyses were carried out by interval mapping (IM) and inclusive complete IM based on linkage maps of 275 simple sequences repeat markers in a FW-RILs population. This analysis revealed 59 unconditional QTLs and 52 conditional QTLs among the FW-RILs. An analysis of additive effects indicated that the effects of 13 protein QTLs were not related to OC, whereas OC affected the expression of 13 and eight QTLs either partially or completely, respectively. Eight QTLs affecting OC were not influenced by PC, whereas six and 26 QTLs were partially and fully affected by PC, respectively. Among the QTLs detected in the current study, two protein QTLs and five oil QTLs had not been previously reported. These findings will facilitate marker-assisted selection and molecular breeding of soybean.
Highlights
Soybean is an economically important crop worldwide and a major source of edible oil and protein
Detecting quantitative trait loci (QTLs) underlying protein content (PC) and oil content (OC) in soybean is helpful to improve the efficiency of soybean breeding
Diers et al (1992) identified eight Quantitative trait locus (QTL) PC and nine QTLs for OC by mapping a population derived from a cross between a G. max experimental line (A81-356022) and the wild soybean (G. soja) line PI468916
Summary
Soybean is an economically important crop worldwide and a major source of edible oil and protein. Improving protein content (PC) and oil content (OC) is an important objective in soybean breeding programs. These quantitative traits are controlled by multiple genes and affected by the environment. As of December 2018, 241 QTLs for PC and 339 QTLs for OC have been detected according to SoyBase (http://www.soybase.org) These QTLs were detected using F2 and recombinant inbred line (RIL) populations derived from crosses between two parents (Liang et al, 2010; Qi et al, 2011a; Lu et al, 2013). This technique fails to identify some QTLs due to the relatively small differences in the additive effects of putative QTLs and the low degree of coverage of the genome, because molecular markers often exhibit little polymorphism between two parents
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