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作 者:梁永书[1] 张启军[1] 王世全[1] 邓启明[1] 李平[1] 李艳萍[2] 阎双勇[2]
机构地区:[1]四川农业大学水稻研究所 [2]天津农业科学院作物研究所,天津300112
出 处:《中国生物工程杂志》2007年第1期28-34,共7页China Biotechnology
基 金:国家"863"计划资助项目(2003AA212030);教育部"长江学者和创新团队发展计划"资助项目(IRT0453)
摘 要:利用测序水稻品种“Nipponbare(粳)/广陆矮4号(籼)”杂交F2群体90个单株为作图群体,构建含148个SSR标记的水稻遗传连锁图谱,覆盖基因组全长1737.81cM,标记间平均距11.90cM。利用该图谱及Excel2000和Mapmaker/QTL1.1b软件对分蘖数、穗数、穗长、主穗长、株高、剑叶长等6个农艺性状间的相互关系和基因位点进行分析,结果在LOD>2.2和P<0.005的条件下共检测到28个QTLs,它们分布在水稻所有染色体上,单个QTL对性状的分子贡献率11.1%~42.9%,其中大于20%有10个,并对选用已测序材料为亲本构建图谱来探讨水稻农艺性状的分子基础及其育种意义进行了讨论。A F2 population, included 90 lines, which derived from the cross between the completely sequenced japonica variety Nipponbare and the indica variety GuangLuAi-4, was applied to construct a genetic linkage framework map. The map covered 1737.81cM, of total genomic length, and included 148 SSR loci; an average distance of 11.90 cMo The phenotypic values of 6 agronomic traits including number of tillers (Tn), number of panicle ( Pn), number of effective tillers ( Etn), main panicle length ( Mpl), plant height ( Ph), and flag length (F1) were surveyed with three replication ( Table 1 and Fig. 1 ). Correlation coefficients between these traits were calculated by means of the software of Excel 2000 were found to be similar to other research conclusions (Table 2 ) was applied to detect QTLs with Mapmaker/QTL1. 1b. Under the condition that LOD 〉 2.2 and P 〈 0.005, 29 QTLs were detected, which distributed on all rice chromosomes. The phenotypic variations (V. E. ) explained by individual QTL were ranged from 11.1% to 42.9%, among which 11 QTLs explained V.E. by more than 20% ( Table 3 and Fig. 2 ). The molecular basis of inheritance and the applications of QTL for rice agronomic traits with sequenced rice materials as mapping parents were discussed.
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