研究报告

水稻产量相关性状QTL定位

展开
  • 1四川省农业科学院 水稻高粱研究所/农业部西南水稻生物学与遗传育种重点实验室/国家水稻改良中心 泸州分中心, 四川 泸州646100;2重庆大学 生物工程学院, 重庆400044;

收稿日期: 2012-10-22

  修回日期: 2012-12-02

  网络出版日期: 2013-07-10

基金资助

国家863计划资助项目(2011AAl0A101);农业部超级稻专项;四川省财政基因工程项目(JYGC20111);四川十二五水稻育种攻关计划资助项目(YZGG20111) 。

QTL Mapping for Yield Related Components in A RIL Population of Rice

Expand
  • 1 Institute of Rice and Sorghum, Sichuan Academy of Agricultural Sciences/ Key Laboratory of Southwest Rice Biology and Genetic Breeding, Ministry of Agriculture/Luzhou Branch of National Rice Improvement Center,  Luzhou 646100, China; 2 Bioengineering College, Chongqing University, Chongqing 400044, China; 

Received date: 2012-10-22

  Revised date: 2012-12-02

  Online published: 2013-07-10

摘要

以来自泸恢99×日本晴F8代重组自交系的188个家系及双亲为研究材料,用在亲本间有多态性的207个DNA标记对群体进行基因型分析,构建了全长为2397 cM,标记间平均距离为12.29 cM,覆盖水稻基因组12条染色体的连锁图。于2011年正季分别在德阳和泸州两地种植于四川农业科学院水稻高粱研究所实验农场,考查了单株有效穗数、每穗颖花数、每穗实粒数、结实率、千粒重、单株产量、穗长和株高7个性状。用基于混合线性模型 的QTL Network 2.0软件进行QTL定位、上位性分析及其与环境的互作分析。7个性状共检测到22个加性主效应QTL,位于除第6、11、12染色体外的9条染色体上,除每穗颖花数、每穗实粒数、结实率未检测到上位性效应外,其他5个性状共检测到7对上位性互作;另外只发现两个QTL与环境发生明显互作。所有加性×加性上位性互作的效应及贡献率均较小,未发现上位性互作效应与环境的显著互作。

本文引用格式

赵建国2 ,蒋开锋1 ,杨莉1 ,杨乾华1 ,万先齐1 ,曹应江1 ,游书梅1 ,罗婧1 ,张涛1,* ,郑家奎1,* . 水稻产量相关性状QTL定位[J]. 中国水稻科学, 2013 , 27(4) : 344 -352 . DOI: 10.3969/j.issn.1001-7216.2013.04.002

Abstract

A genetic linkage map consisting 207 DNA markers, was constructed based on a recombinant inbred line(RIL) population derived from a cross between indica Luhui 99 and japonica Nipponbare. The markers in the linkage map distributed on all the 12 rice chromosomes and covered 2397 cM of the genome with the average distance between the markers being 12.29 cM. In 2011, the parents and 188 RILs were grown in the experimental field at Luzhou and Deyang experimental farm of the Institute of Rice and Sorghum, Sichuan Academy of Agricultural Sciences. The statistic software of QTL Network 2.0 was applied to detect QTL, QTL×QTL epstatic effects and QTL×environment(QE)interaction for seven traits, including number of panicles per plant,  number of spikelet per panicle, number of filled grains per panicle, seed setting rate,  1000grain weight,  grain yield per plant, plant height. A total of 22 QTLs with significant additive effects covering all chromosomes except chromosomes 6, 11 and 12 and two QTL with significant QE interactions were detected. Seven pairs of QTLs showing significant additive ×additive epistatic effects were detected except three traits including number of spikelet per panicle, number of filled grains per panicle,  and seed setting rate. Genetic contributions were generally low for QTL showing epistatic effects. No significant interaction between epistatic QTL and environment was detected.

参考文献

\[1\]张启发. 绿色超级稻的构想与实践. 北京: 科学出版社,2009: 1.

\[2\]杨守仁, 张步龙, 陈温福, 等. 水稻超高产育种的理论和方法. 沈阳农业大学学报, 2003, 34(5): 321323.

\[3\]黄耀祥, 林青山. 水稻超高产、特优质株型模式的构想和育种实践. 广东农业科学, 1994(4): 16.

\[4\]袁隆平. 杂交水稻超高产育种. 杂交水稻,1997(6): 49.

\[5\]程式华, 翟虎渠. 水稻亚种间超高产杂交组合若干株型因子的比较. 作物学报, 2000, 26(6): 713718.

\[6\]周开达, 刘太清, 马玉清, 等. 杂交水稻亚种间重穗型组合选育: 杂交水稻超高产育种的理论与实践. 四川农业大学学报, 1995, 13(4): 403407.

\[7\]Khush G S. Prospects and approaches to increasing the genetic yield potential of rice// Evenson R E. Rice Research in Asia, Progress and Priorities. CAB International and IRRI, 1996: 5971.

\[8\]朱旭东, 张国平, 姚海根, 等. 浙江早稻新品系的产量及其农艺性状比较. 浙江农业科学, 2007(1): 6973.

\[9\]   Paterson A H, Lander E S, Hewitt J D, et al. Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms. Nature,  1988, 335(6192):721726.

\[10\]Lu F, Ammiraju J S, Sanyal A, et al. Comparative sequence analysis of MONOCULM1orthologous regions in 14 Oryza genomes. Proc Natl Acad Sci,   2009, 106(6): 20712076.

\[11\]Yan H F, Saika H, Maekawa M, et al. Rice tillering dwarf mutant dwarf3 has increased leaf longevity during darknessinduced senescence or hydrogen peroxideinduced cell death. Genes Genetic Systems,  2007, 82(4): 361366.

\[12\]Li Y, Fan C, Xing Y, et al. Natural variation in GS5 plays an important role in regulating grain size and yield in rice. Nat Genet,  2011, 43(12): 12661269.

\[13\]Song X J, Huang W, Shi M, et al. A QTL for rice grain width and weight encodes a previously unknown RINGtype E3 ubiquitin ligase. Nat Genet,  2007, 39(5): 623630.

\[14\]Fan C, Xing Y Z, Mao H L, et al. GS3 participates in stigma exsertion as well as seed length in rice. Breeding Sci,  2011, 61(3): 244250.

\[15\]Taguchishiobara F, Kawagoe Y, Kato H, et al. A lossoffunction mutation of rice DENSE PANICLE 1 causes semidwarfness and slightly increased number of spikelets. Breeding Sci,  2011, 61(1): 1725.

\[16\]Ashikari M, Sakakibara H, Lin S, et al. Cytokinin oxidase regulates rice grain production. Science,  2005, 309(5735): 741745.

\[17\]Li M, Tang D, Wang K, et al. Mutations in the Fbox gene LARGER PANICLE improve the panicle architecture and enhance the grain yield in rice. Plant Biotechnol J,  2011, 9(9): 10021013.

\[18\]Li S, Qian Q, Fu Z, et al. Short panicle1 encodes a putative PTR family transporter and determines rice panicle size. Plant J,  2009, 58(4): 592605.

\[19\]Wang H D, Makeen K, Yan Y, et al. OsSIZ1 regulates the vegetative growth and reproductive development in rice. Plant Mol Biol Rep,  2011, 29(2): 411417.

\[20\]Ni J, Wang G H, Zhu Z X, et al. OsIAA23mediated auxin signaling defines postembryonic maintenance of QC in rice. Plant J, 2011, 68(3): 433442.

\[21\]Xue W, Xing Y, Weng X, et al. Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice. Nat Genet,  2008, 40(6): 761767.

\[22\]Yi X H, Zhang Z J, Zeng S Y, et al. Introgression of qPE91 allele, conferring the panicle erectness, leads to the decrease of grain yield per plant in japonica rice (Oryza sativa L.). J Gen Genom, 2011, 38(5): 217223.

\[23\]刘坚, 陶红剑, 施思, 等. 水稻穗型的遗传和育种改良. 中国水稻科学, 2012, 26(2): 227234.

\[24\]McCouch S R. Gene nomenclature system for rice. Rice,  2008, 1(1): 7284.

\[25\]张涛. 水稻糙米蛋白质含量的QTL定位及香稻的资源研究. 雅安: 四川农业大学, 2007.

\[26\]Wang D L, Zhu J, Li Z L, et al. Mapping QTLs with epistatic effects and QTL × environment interactions by mixed linear model approaches. Theor  Appl Genet,  1999, 99(7): 12551264.

\[27\]Yang J, Zhu J. Predicting superior genotypes in multiple environments based on QTL effects. Theor  Appl Genet,  2005, 110(7): 12681274.

\[28\]Holland J B. Genetic architecture of complex of traits in plants. Curr Opin Plant Biol, 2007, 10:156161.

\[29\]Xiao J, Li J, Yuan L, et al. Identification of QTLs affecting traits of agronomic importance in a recombination inbred population derived from a subspecific rice cross. Theor  Appl Genet,  1996, 92(2): 230244.

\[30\]李平. 水稻分子图谱的构建与基因分析\[学位论文\]. 雅安: 四川农业大学, 1994.

\[31\]Huang X, Qian Q, Liu Z, et al. Natural variation at the DEP1 locus enhances grain yield in rice. Nat Genet,  2009, 41(4): 494497.

\[32\]Liu G F, Jian Y, Xu H M, et al. Influence of epistasis and QTL × environment interaction on heading date of rice (Oryza sativa L.). J Gen Genom,  2007, 34(7): 608615.

\[33\]Gao Y M, Zhu J. Mapping QTLs with digenic epistasis under multiple environments and predicting heterosis based on QTL effects. Theor  Appl Genet,  2007, 115(3): 325333.

\[34\]曹立勇, 占小登, 庄杰云, 等. 水稻产量性状的QTL定位与上位性分析. 中国农业科学, 2003, 36(11): 12411247.

\[35\]Lu C, Shen L, Tan Z, et al. Comparative mapping of QTLs for agronomic traits of rice across environments using a doubled haploid population. Theor  Appl Genet,  1996, 93(8):12111217.

\[36\]Xing Y Z, Tan Y F, Hua J P, et al. Characterization of the main effects, epistatic effects and their environmental interactions of QTLs on the genetic basis of yield traits in rice. Theor  Appl Genet,  2002, 105(2): 248257.
文章导航

/

浙ICP备05004719号-5
公安备案号:33010302003356
地址:浙江省杭州市富阳区水稻所路28号 邮编:311400 电话:0571-63370278 E-mail:cjrs@263.net
本系统由北京玛格泰克科技发展有限公司设计开发
总访问量: 今日访问: 在线人数: