不同氮水平下玉米籽粒品质性状的QTL定位

以优良玉米自交系许178×K12杂交衍生的包含150个家系的重组自交系群体为试验材料,在正常供氮和不施氮两种条件下于陕西杨凌进行2年(2014-2015年)的田间试验,对玉米籽粒品质性状(蛋白质、淀粉和油分)进行表型鉴定,利用最佳线性无偏预测法结合2年的表型数据,估计各家系各性状在不同氮水平下的育种值。利用QTL IciMapping V4.0软件的完备区间作图法(ICIM)对3个性状进行QTL检测,在两种氮水平下共检测到14个品质性状相关QTL位点,其中正常供氮条件下检测到8个QTL,不施氮条件下检测到6个QTL。2个QTL可以同时在两种氮水平下被检测到,其受环境因素影响较小,有望在玉米籽粒品质分子育种上有所应用。在不施氮条件下共发现4个特异表达的QTL,其可能应用于低氮条件下玉米品质改良研究。本研究对揭示玉米籽粒品质性状遗传机制提供了一定的理论依据。 英文摘要: 150 recombinant inbred lines (RILs) as the experimental materials derived from a cross between maize inbred line Xu178 × K12 were used to identify maize kernel quality traits ( protein, starch and oil) under the high nitrogen (HN) and low nitrogen (LN) treatment in Yangling over two years (2014 and 2015). Using the best linear unbiased prediction (BLUP) combining with the phenotype data in two years estimated breeding value of each trait under different nitrogen levels. QTL mapping for 3 traits were detected by inclusive composite interval mapping (ICIM) in QTL IciMapping V4.0 software. Totally, we detected 14 QTL associated with 3 kernel quality traits at the two nitrogen levels, including 8 QTL under HN and 6 QTL under LN treatment. The presently study found 2 consistency QTL across two nitrogen treatment might be stable QTL controlling kernel quality trait, which were less influenced by environments and might be used in molecular breeding for kernel quality traits in maize. The results showed that four specific QTL expression under LN treatment were possibly applied in improving quality traits in maize in low nitrogen stress. Our study provides a theroetical basis for revealing the genetic mechanism of maize kernel quality traits. 查看全文
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