不同供氮水平下水稻产量性状的QTL分析

doi:10.3969/j.issn.1001-7216.2013.06.003

中国水稻科学 ›› 2013, Vol. 27 ›› Issue (6): 577-584.DOI: 10.3969/j.issn.1001-7216.2013.06.003

不同供氮水平下水稻产量性状的QTL分析

冯跃,翟荣荣,林泽川,曹立勇,魏兴华,程式华^*

中国水稻研究所国家水稻改良中心/水稻生物学国家重点实验室，杭州 310006；

收稿日期:2013-05-24 修回日期:2013-06-13 出版日期:2013-11-10 发布日期:2013-11-10
通讯作者: 程式华*
基金资助:
国家自然科学基金资助项目(31200916)；浙江省水稻种业科技创新团队资助项目（2010R5002416）；中央级公益性科研院所基本业务费专项（2012RG0027）。

QTL Analysis for Yield Traits in Rice under Two Nitrogen Levels

FENG Yue, ZHAI Rongrong, LIN Zechuan, CAO Liyong, WEI Xinghua, CHENG Shihua^*

Chinese National Center for Rice Improvement /State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China;

Received:2013-05-24 Revised:2013-06-13 Online:2013-11-10 Published:2013-11-10
Contact: CHENG Shihua*

摘要/Abstract

摘要： 利用超级稻协优9308(协青早B×中恢9308)衍生的重组自交系(recombinant inbred line, RIL)群体及其遗传连锁图谱，应用Windows QTL Cartographer 2.5对施氮和不施氮条件下水稻产量性状进行了QTL分析。共检测到52个控制水稻产量性状的QTL，分布于9条染色体上的27个染色体区域，单个QTL可解释的表型变异介于4.93%～26.73%之间。2种施氮水平下检测到11个相同的产量性状QTL 和30个差异表达的产量性状QTL，表明不同施氮水平下水稻产量性状的遗传机制不同。在第3染色体上RM135-RM168区间检测到的同时控制2种氮素水平下单株穗数、每穗颖花数、每穗实粒数和低氮水平下穗着粒密度的QTL和在第8染色体上RM5556-RM310区间检测到的同时控制2种氮素水平下每穗颖花数、每穗实粒数和低氮水平下单株穗数、穗着粒密度的QTL。上述QTL与已报道的水稻氮循环相关QTL位置相近。

关键词: 水稻, 氮肥, 产量性状, 数量性状基因座

Abstract: A recombinant inbred line (RIL) population, derived from a superhybrid rice Xieyou 9308 (Xieqingzao B×Zhonghui 9308) and its genetic linkage map were used to detect QTLs by Windows QTL Cartographer 2.5 for yield traits under low and normal nitrogen conditions in rice. A total of 52 QTLs for yield traits distributing in 27 regions on nine chromosomes were detected, explaining 4.93%-26.73% of the phenotypic variation, separately for each QTL. Eleven QTLs were detected in both nitrogen conditions, and thirty different QTLs were detected under two nitrogen treatments, suggesting a different genetic basis controlling rice growth at low versus normal nitrogen conditions. QTLs for number of panicles per plant, number of spikelets per panicle, number of filled grains per panicle under two nitrogen conditions and grain density under low nitrogen conditions were detected at the interval RM135-RM168 on chromosome 3. QTLs for number of spikelets per panicle, number of filled grains per panicle under two nitrogen conditions and number of panicles per plant, grain density under low nitrogen condition were detected at the interval RM5556-RM310 on chromosome 8. The QTLs described above shared the similar regions with QTLs for rice nitrogen recycling reported previously.

Key words: rice, nitrogen level, yield traits, QTL

中图分类号:

冯跃,翟荣荣,林泽川,曹立勇,魏兴华,程式华*. 不同供氮水平下水稻产量性状的QTL分析[J]. 中国水稻科学, 2013, 27(6): 577-584.

FENG Yue, ZHAI Rongrong, LIN Zechuan, CAO Liyong, WEI Xinghua, CHENG Shihua*. QTL Analysis for Yield Traits in Rice under Two Nitrogen Levels[J]. Chinese Journal of Rice Science, 2013, 27(6): 577-584.

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不同供氮水平下水稻产量性状的QTL分析

QTL Analysis for Yield Traits in Rice under Two Nitrogen Levels

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