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作物学报 ›› 2017, Vol. 43 ›› Issue (10): 1434-1447.doi: 10.3724/SP.J.1006.2017.01434

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

超级稻品种中嘉早17高产相关性状的QTL定位

胡大维1,**,圣忠华1,**,陈  炜1,2,李潜龙1,2,魏祥进1,邵高能1,焦桂爱1,王建龙2,胡培松1,2,谢黎虹1,*,唐绍清1,*   

  1. 1农业部水稻生物学与遗传育种重点实验室 / 水稻生物学国家重点实验室 / 中国水稻研究所, 浙江杭州 310006；2湖南农业大学农学院，湖南长沙 410128
  • 收稿日期:2017-01-18 修回日期:2017-05-10 出版日期:2017-10-12 网络出版日期:2017-05-22
  • 通讯作者: 唐绍清, E-mail: sqtang@126.com
  • 基金资助:

    本研究由浙江省科技计划面上项目(2015C32045)，国家自然科学基金青年基金项目(31501285)，中央级公益性科研院所基本科研业务专项基金(2014RG002-1)，国家重点研发计划项目(2016YFD0101801)和国家转基因生物新品种培育重大专项(2016ZX08001006)资助。

Identification of QTLs Associated with High Yield of Super Rice Variety Zhongjiazao 17

HU Da-Wei1,**, SHENG Zhong-Hua1,**, CHEN Wei1,2, LI Qian-Long1,2, WEI Xiang-Jin1, SHAO Gao-Neng1, XIE Li-Hong1, JIAO Gui-Ai1, WANG Jian-Long2, HU Pei-Song1,2, TANG Shao-Qing1,*   

  1. 1 Key Laboratory of Rice Biology and Genetic Breeding of Ministry of Agriculture, State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China; 2 Agricultural College of Hunan Agricultural University, Changsha 410128, China
  • Received:2017-01-18 Revised:2017-05-10 Published:2017-10-12 Published online:2017-05-22
  • Contact: Kang shaoqing, E-mail: sqtang@126.com
  • Supported by:

    This research was financially supported by Zhejiang Science and Technology Projects (2015C32045), China Natural Science Foundation (31501285), the Central Level, Non-profit, Scientific Research Institute Basic R and D Operations Special Fund (2014RG002-1), the National Key Research and Development Program of China (2016YFD0101801), and the National Major Project for Developing New GM Crops (2016ZX08001006).

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摘要：

水稻产量事关粮食安全，对水稻高产基因的进一步挖掘意义重大。本研究采用花药培养技术，构建了包含101个株系的中嘉早17×D50的加倍单倍体群体(DH群体)。考查海南、杭州高产田块和杭州山区低产田块3种种植环境下DH群体各株系、亲本中嘉早17和D50的有效穗数、每穗粒数、结实率以及千粒重等产量相关性状，同时构建DH群体的遗传连锁图谱。QTL定位分析表明，3种种植环境下共检测到74个具有显著加性效应的QTL，其贡献率变幅为3.7%~43.2%，分布于水稻12条染色体。其中，qPH1-1和qFLL12在3种种植环境下均被检测到，其贡献率分别为8.9%、24.2%、43.2%和16.6%、17.9%、18.9%。此外，qPH3、qFLL10-2、qFLW11-1、qPL11、qGNP11、qSSR3以及qTGW5-1 7个QTL在其中2种种植环境下被同时检测到，其贡献率变幅为7.4%~42.2%。QTL×环境互作分析表明，仅qPH1-1、qFLW2、qEPP1和qTGW5-1 4个QTL存在显著的加性×环境互作效应。进一步对qTGW5-1定位区间所包含的GW5测序分析表明，高产株系和低产株系的GW5等位基因分别来自亲本中嘉早17和D50，这与检测到的qTGW5-1的加性效应来自亲本中嘉早17相符。本研究为今后水稻产量相关基因的进一步挖掘以及借助分子聚合育种培育超高产品种提供了理论依据和技术支撑。

关键词: 产量性状, QTL定位, DH群体, 中嘉早17, 水稻

Abstract:

Rice yield has obvious effect on national food security. The further excavation of high yield related genes is of great significance. In this research, a doubled haploid population (DH population) of Zhongjiazao 17 (YK17) × D50 was constructed by using the anther culture technique. The yield related traits including effective panicles per plant, grain number per panicle, seed setting rate and 1000-grain weight in three different planting environments (Lingshui Hainan planting environment, high yield field in Hangzhou planting environment, low yield field in Hangzhou planting environment) were examined. Further, genetic linkage map of the DH population was constructed. A total of 74 QTLs for yield related traits were detected by QTL mapping, these QTLs were distributed on all the 12 chromosomes of rice with the contribution rate ranging from 3.7% to 43.2%. Among these QTLs, qPH1-1and qFLL12 were detected repeatedly in three different planting environments, and the contribution rate of them was 8.9%, 24.2%, 43.2% and 16.6%, 17.9%, 18.9%, respectively. In addition, qPH3, qFLL10-2, qFLW11-1, qPL11, qGNP11, qSSR3, and qTGW5-1 were detected repeatedly in two different planting environments with the contribution rate ranging from 7.4% to 42.2%. The analysis of QTL × environment interaction showed that qPH1-1, qFLW2, qEPP1,and qTGW5-1 had significant additive × environment interaction effects. GW5 sequencing, located in qTGW5-1, indicated that GW5 alleles of high yield lines and low yield lines were inherited from the parents YK17 and D50, respectively, which was consistent with that the additive effect of qTGW5-1 derived from YK17. This research provides theoretical basis and technical support for further excavation of rice yield related genes and breeding super high yield varieties by using molecular polymerization breeding.

Key words: Yield related traits, QTL mapping, DH population, Zhongjiazao17, Rice

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