欢迎访问作物学报,今天是

作物学报 ›› 2014, Vol. 40 ›› Issue (02): 214-221.doi: 10.3724/SP.J.1006.2014.00214

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

水稻穗部性状的QTL分析

吴亚辉,陶星星,肖武名*,郭涛,刘永柱,王慧,陈志强*   

  1. 华南农业大学国家植物航天育种工程技术中心,广东广州510642
  • 收稿日期:2013-08-13 修回日期:2013-08-29 出版日期:2014-02-12 网络出版日期:2013-11-14
  • 通讯作者: 陈志强, E-mail: chenlin@scau.edu.cn, Tel: 020-85280005; 肖武名, E-mail: heredity24@126.com, Tel: 020-85285871
  • 基金资助:

    本研究由国家高技术研究发展计划(863计划)项目(2012AA101201),广东省科技计划项目(2011A020102004)和国家现代农业产业技术体系建设专项(CARS-01-12)资助。

Dissection of QTLs for Panicle Traits in Rice (Oryza sativa)

WU Ya-Hui,TAO Xing-Xing,XIAO Wu-Ming*,GUO Tao,LIU Yong-Zhu,WANG Hui,CHEN Zhi-Qiang*   

  1. National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou 510642, China?
  • Received:2013-08-13 Revised:2013-08-29 Published:2014-02-12 Published online:2013-11-14
  • Contact: 陈志强, E-mail: chenlin@scau.edu.cn, Tel: 020-85280005; 肖武名, E-mail: heredity24@126.com, Tel: 020-85285871

摘要:

水稻穗部性状与产量关系密切。以粳稻品种日本晴和一个大穗籼稻材料H71D为亲本构建F2群体,于20112012年分别以172个单株和138个单株,对穗长、一次枝梗数、二次枝梗数、总粒数、穗着粒密度等5个穗部性状进行QTL定位。以LOD≥3为阈值,两年共检测到38QTL,其中201121个,201217个,2年重复检测到的QTL4个,占总数的10.5%5个性状之间大都具有显著的表型相关性,相关性较强的性状之间具有较多相同或紧密连锁的QTL,效应值较大的QTL易于在不同群体和不同环境中被重复检测到。检测到的QTL为进一步进行元分析和精细定位打下了基础,也为通过分子标记辅助选择提高产量提供了有用信息。

关键词: 水稻, 穗部性状, QTL定位

Abstract:

Rice yield potential is closely related to panicle traits. QTLs for five panicle traits including panicle length, number of primary branches, number of secondary branches, spikelets per panicle and seed setting density were identified by using 172 plants and 138 plants from a F2 population derived from a cross between Nipponbare and H71D in 2011 and 2012 respectively. A total of 38 QTLs were detected in the two trials, including 21 QTLs in 2011 and 17 QTLs in 2012, of them four QTLs (only 10.5%) were repeatedly detected in both years. Some QTLs controlling different traits shared the same maker interval on the chromosome with each other, which was consistent with their significant phenotypic correlations. QTLs with large effects are easily to be detected in kinds of populations and different environments. These QTLs provide useful information for meta-analysis and fine mapping, as well as MAS for high-yield rice breeding.

Key words: Rice, Panicle traits, QTL analysis

[1]靳德明, 王维金, 蓝盛银, 徐珍秀, 杨书化. 培矮64s/E32产量构成因素和穗部性状的杂种优势及相关分析. 华中农业大学学报, 2001, 20: 516–521



Jin D M, Wang W J, Lan S Y, Xu Z X, Yang S H. Heterosis and correlative analysis of yield components and panicle characters of Pei’ai 64s/E32. J Huazhong Agric Univ, 2001, 20: 516–521 (in Chinese with English abstract)



[2]徐正进, 陈温福, 孙占惠, 张树林, 刘丽霞, 周淑清. 辽宁水稻籽粒在穗轴上分布特点及其与结实性的关系. 中国农业科学, 2004, 37: 963–967



Xu Z J, Chen W F, Sun Z H, Zhang S L, Liu L X, Zhou S H. Distribution of rice grain on panicle axis and its relationship with seed setting in Liaoning. Sci Agric Sin, 2004, 37: 963–967 (in Chinese with English abstract)



[3]董桂春, 居静, 于小风, 张燕, 赵江宁, 李进前, 田昊, 张彪, 王余龙. 不同穗重类型常规籼稻品种产量形成的差异研究. 扬州大学学报(农业与生命科学版), 2010, 31(1): 49–54



Dong G C , Ju J, Yu X F, Zhang Y, Zhao J N, Li J Q, Tian H, Zhang B, Wang Y S. Study of difference of yield formation in conventional Indica rice cultivars with different panicle weight. J Yangzhou Univ (Agric & Life Sci Edn), 2010, 31(1): 49–54 (in Chinese with English abstract)



[4]郭龙彪, 罗利军, 邢永忠, 徐才国, 梅捍卫, 王一平, 钟代彬, 钱前, 应存山, 石春海. 水稻重要农艺性状的2年QTL剖析. 中国水稻科学, 2003, 17: 211–218



Guo L B, Luo L J, Xing Y Z, Mei H W, Wang Y P, Zhong D B, Qian Q, Ying C S, Shi C H. Dissection of QTLs in two years for important agronomic traits in rice (Oryza sativa L.). Chin J Rice Sci, 2003, 17: 211–218 (in Chinese with English abstract)



[5]叶少平, 张启军, 李杰勤, 赵兵, 李平. 用(培矮64s/Nipponbare) F2群体对水稻产量构成性状的QTL定位分析. 作物学报, 2005, 31: 1620–1627



Ye S P, Zhang Q J, Li J Q, Zhao B, Li P. QTL mapping for yield component traits using (Pei’ai 64s/Nipponbare) F2 population. Acta Agron Sin, 2005, 31: 11–17 (in Chinese with English abstract)



[6]程桂平, 冯九焕, 梁国华, 刘向东, 李金泉. 栽培稻与普通野生稻BC2F2群体产量相关性状的QTL分析. 中国水稻科学, 2006, 20: 553–556



Cheng G P, Feng J H, Liang G H, Liu X D, Li J Q. Identification of QTLs for agronomic traits associated with yield in a BC2F2 population between Oryza sativa and Oryza rufipogon. Chin J Rice Sci, 2006, 20: 533–556 (in Chinese with English abstract)



[7]申宗坦. 作物育种学实验. 北京: 中国农业出版社, 1995. pp 102–107



Shen Z T. Crop Breeding Experiment. Beijing: China Agriculture Press, 1995. pp 102–107 (in Chinese)



[8]McCouch S R, Cho Y G, Yano M, Paul E, Blinstrub M, Morishima H, Kinosita T. Report on QTL nomenclature. Rice Genet Newslett, 1997, 14: 11–13



[9]Lorieux M, Perrier X, Goffinet B, Lanaud C, De León D G. Maximum-likelihood models for mapping genetic markers showing segregation distortion. 1. Backcross populations. Theor Appl Genet, 1995, 90: 73–80



[10]Lorieux M, Perrier X, Goffinet B, Lanaud C, De León D G. Maximum-likelihood models for mapping genetic markers showing segregation distortion. 2. F2 populations. Theor Appl Genet, 1995, 90: 81–89



[11]朱成松, 王付华, 王建飞, 李广军, 张红生, 章元明. 回交、DH和RIL偏分离群体遗传图谱的重新构建. 科学通报, 2007, 52: 918–922



Zhu C S, Wang F H, Wang J F, Li G J, Zhang H S, Zhang Y M. Genetic maps reconstruct of backcross, DH, and RIL segregation distortion populations. Chin Sci Bull, 2007, 52: 918–922 (in Chinese)



[12]Wang J K, Li H H, Zhang L Y, Meng L. Users’ Manual of QTL IciMapping Version 3.2, 2012



[13]Mangin B, Thoquet P, Grimsley N, Pleiotropic QTL analysis. Biometrics, 1998, 54: 88–99



[14]Freyer G, Sørensen P,Kühn C,Weikard R,Hoeschele I. Search for pleiotropic QTL on chromosome BTA6 affecting yield traits of milk production. J Dairy Sci, 2003, 86: 999–1008



[15]Sun F, Liu P, Ye J, Lo L C, Cao S Y, Li L, Yue G H, Wang C M. An approach for jatropha improvement using pleiotropic QTLs regulating plant growth and seed yield. Biotech Biof, 2012, 5: 1–10



[16]Yan W H, Wang P, Chen H X, Zhou H J, Li Q P, Wang C R, Ding Z H, Zhang Y S, Yu S B, Xing Y Z. A major QTL, Ghd8, plays pleiotropic roles in regulating grain productivity, plant height, and heading date in rice. Mol Plant, 2011, 4: 319–330



[17]Cai H, Morishima H. QTL clusters reflect character associations in wild and cultivated rice. Theor Appl Genet, 2002, 104: 1217–1228



[18]邢永忠, 徐才国, 华金平, 谈移芳. 水稻穗部性状的QTL与环境互作分析. 遗传学报, 2001, 28: 439–446



Xing Y Z, Xu C G, Hua J P, Tan Y H. Analysis of QTL×environment interaction for rice panicle characteristics. Acta Genet Sin, 2001, 28: 439–446 (in Chinese with English abstract)



[19]李绍波, 杨国华, 章志宏, 李绍清, 李阳生, 朱英国. 直播条件下水稻6个穗部性状的QTL分析. 武汉植物学研究, 2009, 27: 467–472



Li S B, Yang G H, Zhang Z H, Li S Q, Li Y S, Zhu Y G. Mapping of QTL controlling 6 panicle traits of rice under direct-sowing environment. J Wuhan Bot Res, 2009, 27: 467–472 (in Chinese with English abstract)



[20]沈希宏, 曹立勇, 陈深广, 占小登, 吴伟明, 程式华. 超级杂交稻协优9308重组自交系群体的穗部性状QTL分析. 中国水稻科学, 2009, 23: 354–362



Shen X H, Cao L Y, Chen S G, Zhan X D, Wu W M, Cheng S H. Dissection of QTLs for panicle traits in recombinant inbred lines derived from super hybrid rice, Xieyou 9308. Chin J Rice Sci, 2009, 23: 354–362 (in Chinese with English abstract)



[21]王智权, 刘喜, 江玲, 刘世家, 陈亮明, 尹长斌, 翟虎渠, 万建民. 控制水稻穗形相关性状的QTL定位. 江苏农业学报, 2011, 27: 5–12



Wang Z Q, Liu X, Jiang L, Liu S J, Chen L M, Yin C B, Zhai H Q, Wan J M. Ditection of QTLs for related traits of panicle in rice (Oryza sativa L.). Jiangsu J Agric Sci, 2011, 27: 5–12 (in Chinese with English abstract)



[22]刘头明. 水稻每穗颖花数的遗传基础剖析及其主效QTLs精细定位. 华中农业大学博士学位论文. 2009



Liu T M. Dissection of the Genetic Bases of the Number of Spikelets per Panicle and Fine Mapping of Its Major QTLs. PhD Dissertation of Huazhong Agricultural University, 2009 (in Chinese with English abstract)



[23]Marathi B, Guleria S, Mohapatra T, Parsad R, Mariappan N, Kurungara N, Atwal S S, Prabhu K V, Singh N K, Singh A K. QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.). BMC Plant Biol, 2012, 12: 137



[24]黄成. 水稻几个农艺性状的QTL分析. 沈阳农业大学硕士学位论文, 2010



Huang C. QTL Analysis of Several Rice Agronomic Characters. Master’s Dissertation of Shenyang Agricultural University, 2009 (in Chinese with English abstract)



[25]Mei H W, Xu J L, Li Z K, Yu X Q, Guo L B, Wang Y P, Ying C S, Luo L J. QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L.). Theor Appl Genet, 2006, 112: 648–656



[26]Jing Z B, Qu Y Y, Pan D J, Fan Z L, Chen J Y, Li C. QTL analysis of yield-related traits using an advanced backcross population derived from common wild rice (Oryza rufipogon L.). Mol Plant Breed, 2010, 1: 1–10



[27]Bai X F, Luo L J, Yan W H, Kovi M R, Xing Y Z. Quantitative trait loci for rice yield-related traits using recombinant inbred lines derived from two diverse cultivars. J Genet, 2011, 90: 209–215

[1] 胡文静, 李东升, 裔新, 张春梅, 张勇. 小麦穗部性状和株高的QTL定位及育种标记开发和验证[J]. 作物学报, 2022, 48(6): 1346-1356.
[2] 田甜, 陈丽娟, 何华勤. 基于Meta-QTL和RNA-seq的整合分析挖掘水稻抗稻瘟病候选基因[J]. 作物学报, 2022, 48(6): 1372-1388.
[3] 郑崇珂, 周冠华, 牛淑琳, 和亚男, 孙伟, 谢先芝. 水稻早衰突变体esl-H5的表型鉴定与基因定位[J]. 作物学报, 2022, 48(6): 1389-1400.
[4] 周文期, 强晓霞, 王森, 江静雯, 卫万荣. 水稻OsLPL2/PIR基因抗旱耐盐机制研究[J]. 作物学报, 2022, 48(6): 1401-1415.
[5] 郑小龙, 周菁清, 白杨, 邵雅芳, 章林平, 胡培松, 魏祥进. 粳稻不同穗部籽粒的淀粉与垩白品质差异及分子机制[J]. 作物学报, 2022, 48(6): 1425-1436.
[6] 颜佳倩, 顾逸彪, 薛张逸, 周天阳, 葛芊芊, 张耗, 刘立军, 王志琴, 顾骏飞, 杨建昌, 周振玲, 徐大勇. 耐盐性不同水稻品种对盐胁迫的响应差异及其机制[J]. 作物学报, 2022, 48(6): 1463-1475.
[7] 杨建昌, 李超卿, 江贻. 稻米氨基酸含量和组分及其调控[J]. 作物学报, 2022, 48(5): 1037-1050.
[8] 于春淼, 张勇, 王好让, 杨兴勇, 董全中, 薛红, 张明明, 李微微, 王磊, 胡凯凤, 谷勇哲, 邱丽娟. 栽培大豆×半野生大豆高密度遗传图谱构建及株高QTL定位[J]. 作物学报, 2022, 48(5): 1091-1102.
[9] 杨德卫, 王勋, 郑星星, 项信权, 崔海涛, 李生平, 唐定中. OsSAMS1在水稻稻瘟病抗性中的功能研究[J]. 作物学报, 2022, 48(5): 1119-1128.
[10] 朱峥, 王田幸子, 陈悦, 刘玉晴, 燕高伟, 徐珊, 马金姣, 窦世娟, 李莉云, 刘国振. 水稻转录因子WRKY68在Xa21介导的抗白叶枯病反应中发挥正调控作用[J]. 作物学报, 2022, 48(5): 1129-1140.
[11] 王小雷, 李炜星, 欧阳林娟, 徐杰, 陈小荣, 边建民, 胡丽芳, 彭小松, 贺晓鹏, 傅军如, 周大虎, 贺浩华, 孙晓棠, 朱昌兰. 基于染色体片段置换系群体检测水稻株型性状QTL[J]. 作物学报, 2022, 48(5): 1141-1151.
[12] 王泽, 周钦阳, 刘聪, 穆悦, 郭威, 丁艳锋, 二宫正士. 基于无人机和地面图像的田间水稻冠层参数估测与评价[J]. 作物学报, 2022, 48(5): 1248-1261.
[13] 陈悦, 孙明哲, 贾博为, 冷月, 孙晓丽. 水稻AP2/ERF转录因子参与逆境胁迫应答的分子机制研究进展[J]. 作物学报, 2022, 48(4): 781-790.
[14] 王吕, 崔月贞, 吴玉红, 郝兴顺, 张春辉, 王俊义, 刘怡欣, 李小刚, 秦宇航. 绿肥稻秆协同还田下氮肥减量的增产和培肥短期效应[J]. 作物学报, 2022, 48(4): 952-961.
[15] 巫燕飞, 胡琴, 周棋, 杜雪竹, 盛锋. 水稻延伸因子复合体家族基因鉴定及非生物胁迫诱导表达模式分析[J]. 作物学报, 2022, 48(3): 644-655.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!