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作物学报 ›› 2010, Vol. 36 ›› Issue (08): 1310-1317.doi: 10.3724/SP.J.1006.2010.01310

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

 利用4个姊妹近等基因群体定位水稻粒重和粒形QTL

姚国新1,2,李金杰1,张强1,3,胡广隆1,陈超1,汤波1,张洪亮1,李自超1,*   

  1. 1 中国农业大学农业部作物基因组与遗传改良重点实验室 / 北京市作物遗传改良重点实验室，北京 100193; 2 孝感学院生命科学技术学院，湖北孝感432100; 3吉林省农业科学院水稻研究所，吉林公主岭136100
  • 收稿日期:2010-01-08 修回日期:2010-04-20 出版日期:2010-08-12 网络出版日期:2010-05-20
  • 通讯作者: 李自超,E -mail: lizichao@cau.edu.cn; Tel: 010-62731414
  • 基金资助:

    本研究由国家重点基础研究发展计划（973计划）项目（2010CB129504），国家科技支撑计划项目（2009BADA2B01，2006BAD13B01）和国家高技术研究发展计划（863计划）项目（2006AA10Z158，2006AA100101）资助。

Mapping Grain Weight and Shape QTLs Using Four Sister Near Isogenic Lines (SNILs) of Rice (Oryza Sativa L.)

YAO Guo-Xin1,2, LI Jin-Jie1,ZHANG Qiang1,3,HU Guang-Long1,CHEN Chao1,TANG Bo1,ZHANG Hong-Liang1,LI Zi-Chao1,*   

  1. 1Key Laboratory of Crop Genomics and Genetic Improvement,Ministry of Agriculture/Beijing Key Laboratory of Crop Genetic Improvement,China Agricultural University,Beijing 100193,china;2School of Life Science and Technology,Xiaogan University,Xiaogan 432100,China;3Rice Research Institute,Jilin academy of Agricultural Sciences,Gongzhuling,136100,china
  • Received:2010-01-08 Revised:2010-04-20 Published:2010-08-12 Published online:2010-05-20
  • Contact: LI Zi-Chao,E -mail: lizichao@cau.edu.cn; Tel: 010-62731414

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被引次数

30

摘要： 粒重是决定水稻产量的三要素之一。利用世界上粒重最大的品种之一SLG-1(供体亲本)与小粒品种日本晴(Nipponbare，轮回亲本)杂交，在各回交世代选择粒重较大单株与日本晴回交，构建水稻粒重和粒形的姊妹近等基因系(SNILs)。对获得的73 株BC4F1单株进行粒重频率分布统计，选择粒重频率分布在4个峰值处的代表性单株，自交获得4个BC4F2 SNILs群体。利用BSA法(分离群体分组混合分析法)，从均匀分布在水稻染色体上的1 513对SSR标记中筛选出与粒重和粒形相关的多态性标记19对，以LOD≥2.5作为选择阈值，对粒重、粒长、粒宽和粒厚进行QTL扫描，共检测到6个区域的12个QTL，贡献率从7.22%到53.38%。这些QTL所在区域包含已克隆的粒长GS3和粒宽GW2，也包含没有精细定位的第2染色体的RM6318-RM1367、第3染色体的RM5477–RM6417和第6染色体的RM3370–RM1161等3个区域控制粒重和粒形的5个QTL。其中第3染色体上RM5477–RM6417区间存在粒形贡献率较大的新的QTL。构建含有这些粒重QTL的姊妹近等基因系，为进一步精细定位或克隆新的粒重或粒形QTL奠定了基础。

关键词: 水稻, 姊妹近等基因系, 粒重, 粒形, QTL

Abstract: Grain weight (GW) is one of three major determinants of rice yield. In order to develop sister near isogenic lines (SNILs) for mapping GW and grain shape QTLs, we developed a cross with SLG-1 (as donor), one of the largest GW varieties in the world, and small GW variety Nipponbare(as recurrent), and selected larger GW plants to backcross with Nipponbare in different generations. Through analysis with total 73 BC4F1plants, we found four peaks in the frequency distribution of GW, and then selected four plants with the GW of each top peaks respectively to develop four SNIL populations. Using bulked segregant analysis(BSA), from 1 513 SSR makers evenly distributed on rice genome, we screened out 19 polymorphic SSR makers related to GW and grain shape. Using the LOD score 2.5 as the threshold, 12 QTLs for GW, grain length (GL), seed width (SW), and grain thickness (GT) were identified, which located on six regions of rice chromosome with explained phenotypic variation ranging from 7.22% to 53.38%. These QTL regions contained the cloned genes GS3 and GW2. Five GW and grain shape QTLs which were not be fine-mapped in previous research were also detected in the regions of RM6318–RM1367 on chromosome 2, RM5477–RM6417 on chromosome 3 and RM3370–RM1161 on chromosome 6. Among them, qGL3-1 with higher contribution was a new QTL for GL. The results provide a foundation for fine mapping and cloning new QTLs for GW and grain shape.

Key words:  Rice(Oriza sativa L.), Sister near-isogenic lines, Grain weight, Grain shape, QTL Rice(Oriza sativa L.), Grain weight, Grain shape, SNIL, QTL

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