Prasad M, Kumar N, Kulwal P L, Röder M S, Balyan H S, Dhaliwal H S, Gupta P K
Institute für Pflanzengenetik und Kulturpflanzenforschung (IPK), Corrensstrasse 3, D - 06466 Gatersleben, Germany.
Theor Appl Genet. 2003 Feb;106(4):659-67. doi: 10.1007/s00122-002-1114-y. Epub 2002 Oct 19.
QTL interval mapping for grain protein content (GPC) in bread wheat was conducted for the first time, using a framework map based on a mapping population, which was available in the form of 100 recombinant inbred lines (RILs). The data on GPC for QTL mapping was recorded by growing the RILs in five different environments representing three wheat growing locations from Northern India; one of these locations was repeated for 3 years. Distribution of GPC values followed normal distributions in all the environments, which could be explained by significant g x e interactions observed through analyses of variances, which also gave significant effects due to genotypes and environments. Thirteen (13) QTLs were identified in individual environments following three methods (single-marker analysis or SMA, simple interval mapping or SIM and composite interval mapping or CIM) and using LOD scores that ranged from 2.5 to 6.5. Threshold LOD scores (ranging from 3.05 to 3.57), worked out and used in each case, however, detected only seven of the above 13 QTLs. Only four (QGpc.ccsu-2B.1; QGpc.ccsu-2D.1; QGpc.ccsu-3D.1 and QGpc.ccsu-7A.1) of these QTLs were identified either in more than one location or following one more method other than CIM; another QTL (QGpc.ccsu-3D.2), which was identified using means for all the environments, was also considered to be important. These five QTLs have been recommended for marker-assisted selection (MAS). The QTLs identified as above were also validated using ten NILs derived from three crosses. Five of the ten NILs possessed 38 introgressed segments from 16 chromosomes and carried 42 of the 173 markers that were mapped. All the seven QTLs were associated with one or more of the markers carried by the above introgressed segments, thus validating the corresponding markers. More markers associated with many more QTLs to be identified should become available in the future by effective MAS for GPC improvement.
首次利用基于一个作图群体构建的框架图谱,对面包小麦的籽粒蛋白质含量(GPC)进行了QTL区间作图,该作图群体以100个重组自交系(RIL)的形式存在。通过在代表印度北部三个小麦种植地点的五种不同环境中种植RIL来记录用于QTL作图的GPC数据;其中一个地点重复种植了3年。在所有环境中,GPC值的分布均符合正态分布,通过方差分析观察到的显著基因型×环境互作可以解释这一现象,方差分析还显示基因型和环境具有显著效应。采用三种方法(单标记分析或SMA、简单区间作图或SIM以及复合区间作图或CIM)并使用2.5至6.5的LOD值,在各个环境中鉴定出了13个QTL。然而,在每种情况下计算得出并使用的阈值LOD值(范围为3.05至3.57)仅检测到上述13个QTL中的7个。这些QTL中只有4个(QGpc.ccsu - 2B.1;QGpc.ccsu - 2D.1;QGpc.ccsu - 3D.1和QGpc.ccsu - 7A.1)在多个地点被鉴定出,或者是在除CIM之外的一种以上方法中被鉴定出;另一个通过所有环境的均值鉴定出的QTL(QGpc.ccsu - 3D.2)也被认为很重要。这5个QTL已被推荐用于标记辅助选择(MAS)。上述鉴定出的QTL也使用从三个杂交组合衍生出的10个近等基因系(NIL)进行了验证。10个NIL中的5个拥有来自16条染色体的38个渐渗片段,并携带了所定位的173个标记中的42个。所有7个QTL都与上述渐渗片段携带的一个或多个标记相关联,从而验证了相应的标记。未来,通过有效的GPC改良MAS,应该会有更多与更多待鉴定QTL相关的标记可用。