Grain traits are major constraints in rice production, which are key factors in determining grain yield and market values. This study used two recombinant inbred line（RIL） populations, RIL-JJ（japonica/japonica） an...Grain traits are major constraints in rice production, which are key factors in determining grain yield and market values. This study used two recombinant inbred line（RIL） populations, RIL-JJ（japonica/japonica） and RIL-IJ（indica/japonica） derived from the two crosses Shennong 265/Lijiangxintuanheigu（SN265/LTH） and Shennong 265/Luhui 99（SN265/LH99）. Sixty-eight quantitative trait loci（QTLs） associated with 10 grain traits were consistently detected on the 12 chromosomes across different populations and two environments. Although 61.75% of the QTLs clustered together across two populations, only 16.17% could be detected across two populations. Eight major QTLs were detected on the 9, 10 and 12 chromosomes in RIL-JJ under two environments, a novel QTL clustered on the 10 chromosome, q GT10, q BT10 and q TGW10, have a higher percentage of explained phenotypic variation（PVE） and additive effect; 15 major QTLs were detected on the 5, 8, 9, and 11 chromosomes in RIL-IJ under two environments, a novel clustered QTL, q GT8 and q TGW8, on the 8 chromosome have a higher additive effect. Finally, the analysis of major QTL-BSA mapping narrowed the q TGW10 to a 1.47-Mb region flanked by simple sequence repeat markers RM467 and RM6368 on chromosome 10. A comparison of QTLs for grain traits in two different genetic backgrounds recombinant inbred line populations confirmed that genetic background had a significant impact on grain traits. The identified QTLs were stable across different populations and various environments, and 29.42% of QTLs controlling grain traits were reliably detected in different environments. Fewer QTLs were detected for brown rice traits than for paddy rice traits, 7 and 17 QTLs for brown rice out of 25 and 43 QTLs under RIL-JJ and RILIJ populations, respectively. The identification of genes constituting the QTLs will help to further our understanding of the molecular mechanisms underlying grain shape.展开更多
基金supported by the National Natural Science Foundation of China(31371586)the Program for Liaoning Excellent Talents in University,China(LJQ2013075)
文摘Grain traits are major constraints in rice production, which are key factors in determining grain yield and market values. This study used two recombinant inbred line（RIL） populations, RIL-JJ（japonica/japonica） and RIL-IJ（indica/japonica） derived from the two crosses Shennong 265/Lijiangxintuanheigu（SN265/LTH） and Shennong 265/Luhui 99（SN265/LH99）. Sixty-eight quantitative trait loci（QTLs） associated with 10 grain traits were consistently detected on the 12 chromosomes across different populations and two environments. Although 61.75% of the QTLs clustered together across two populations, only 16.17% could be detected across two populations. Eight major QTLs were detected on the 9, 10 and 12 chromosomes in RIL-JJ under two environments, a novel QTL clustered on the 10 chromosome, q GT10, q BT10 and q TGW10, have a higher percentage of explained phenotypic variation（PVE） and additive effect; 15 major QTLs were detected on the 5, 8, 9, and 11 chromosomes in RIL-IJ under two environments, a novel clustered QTL, q GT8 and q TGW8, on the 8 chromosome have a higher additive effect. Finally, the analysis of major QTL-BSA mapping narrowed the q TGW10 to a 1.47-Mb region flanked by simple sequence repeat markers RM467 and RM6368 on chromosome 10. A comparison of QTLs for grain traits in two different genetic backgrounds recombinant inbred line populations confirmed that genetic background had a significant impact on grain traits. The identified QTLs were stable across different populations and various environments, and 29.42% of QTLs controlling grain traits were reliably detected in different environments. Fewer QTLs were detected for brown rice traits than for paddy rice traits, 7 and 17 QTLs for brown rice out of 25 and 43 QTLs under RIL-JJ and RILIJ populations, respectively. The identification of genes constituting the QTLs will help to further our understanding of the molecular mechanisms underlying grain shape.
