水稻饲料营养含量的QTL定位分析

应用85个SSR标记,对普通野生稻与粳稻台中65为亲本建立的F₂群体进行基因检测,构建了覆盖水稻基因组12条染色体的SSR分子标记连锁图,采用Mapmaker/QTL1.0统计软件对决定水稻饲用营养价值的粗蛋白、粗纤维、粗脂肪、粗灰分、硅酸和可溶性糖含量的基因座位进行了定位分析。结果定位了影响粗蛋白含量的3个QTLs,影响粗脂肪含量的1个QTL,影响可溶性糖含量的3个QTLs,影响硅酸含量的2个QTLs,这9个QTLs分别位于第1,2,4,7,8,9,10和11染色体上。其中主效QTL4个,分别是影响粗脂肪含量的qCEE-1(贡献率56.8%),影响可溶性糖含量的qCWSC-4(贡献率23.1%)和qCWSC-7(贡献率25.0%),影响硅酸含量的qCS-9(贡献率15.9%),其余5个为微效QTL。没有检测到影响粗纤维含量和粗灰分含量的QTL。

Identification of QTLs for nutrient contents of rice as forage

A genetic linkage map of 85 SSR markers was constructed based on an F₂ population derived from a cross between a cultivated rice “Taichung 65” (Oryza sativa) (♀) and a common wild rice (O. rufipogon) (♂). The markers in the linkage map were distributed on 12 rice chromosomes. The statistic software of Mapmaker/QTL 1.0 was used to detect QTLs for crude protein, crude fiber, ether extract, crude ash, silica, and water soluble carbohydrate contents. There were 3 QTLs for crude protein, 1 QTL for ether extract, 2 QTLs for silica, and 3 QTLs for water soluble carbohydrate. They were identified on chromosomes 1, 2, 4, 7, 8, 9, 10 and 11. Interval mapping identified 4 major QTLs and 5 minor QTLs. Major QTLs were qCEE-1 (explained 56.8% of variation) for the ether extract content, qCWSC-4 (explained 23.1% of variation) and qCWSC-7 (explained 25.0% of variation) for WSC content and qCS-9 (explained 15.9% of variation) for silica content. QTLs for crude fiber and crude ash contents were not detected.