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测序水稻品种SSR遗传连锁图谱的构建及其农艺性状基因座分析
引用本文:梁永书,张启军,王世全,邓启明,李平,李艳萍,阎双勇. 测序水稻品种SSR遗传连锁图谱的构建及其农艺性状基因座分析[J]. 中国生物工程杂志, 2007, 27(1): 28-34
作者姓名:梁永书  张启军  王世全  邓启明  李平  李艳萍  阎双勇
作者单位:1. 天津市水稻(农作物)研究所2. 四川农业大学水稻研究所3. 4. 天津市水稻研究所
基金项目:国家高技术研究发展计划(863计划);教育部长江学者和创新团队发展计划
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、剑叶长等六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。

关 键 词:水稻  SSR标记  遗传图谱  农艺性状  数量性状基因座  定位
收稿时间:2006-11-27
修稿时间:2006-11-28

Construction of SSR genetic Map and its QTL analysis of agronomic traits with sequenced varieties
LIANG Yong-shu,ZHANG Qi-jun,WANG Shi-quan,DENG Qi-ming,LI Ping,LI Yan-ping,YAN Shuang-yong. Construction of SSR genetic Map and its QTL analysis of agronomic traits with sequenced varieties[J]. China Biotechnology, 2007, 27(1): 28-34
Authors:LIANG Yong-shu  ZHANG Qi-jun  WANG Shi-quan  DENG Qi-ming  LI Ping  LI Yan-ping  YAN Shuang-yong
Abstract: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 cM。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 (Fl) 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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