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作物学报 ›› 2016, Vol. 42 ›› Issue (07): 1083-1093.doi: 10.3724/SP.J.1006.2016.01083

• 研究简报 • 上一篇    下一篇

江苏主栽粳稻品种的遗传与食味结构分析

龚红兵1,2,曾生元2,李闯2,左示敏1,景德道2,林添资2,陈宗祥1,张亚芳1,钱华飞2,余波2, 盛生兰2,潘学彪1,*   

  1. 1扬州大学江苏省作物遗传生理国家重点实验室培育点 / 粮食作物现代产业技术协同创新中心,教育部植物功能基因组学重点实验室;
    2江苏丘陵地区镇江农业科学研究所,江苏句容 212400
  • 收稿日期:2015-11-25 修回日期:2016-03-14 出版日期:2016-07-12 网络出版日期:2016-04-13
  • 通讯作者: 潘学彪, E-mail: shuidao@yzu.edu.cn, Tel: 0514-87972136
  • 基金资助:

    本研究由江苏省自然科学基金项目(BK20141291), 江苏省农业科技自主创新资金项目[CX(13)5073], 江苏省重点研发计划(现代农业)(BE2015363)和江苏高校优势学科建设工程项目资助。

Genetic Analysis and Taste Quality of Main Conventional Japonica Rice Varieties Grown in Jiangsu

GONG Hong-Bing1,2,ZENG Sheng-Yuan2,LI Chuang2,ZUO Shi-Min1,JING De-Dao2,LIN Tian-Zi2,CHEN Zong-Xiang1,ZHANG Ya-Fang1,QIAN Hua-Fei2,YU Bo2,SHENG Sheng-Lan2,PAN Xue-Biao1,*   

  1. 1 Jiangsu Key Laboratory of Crop Genetics and Physiology / Co-Innovation Center for Modern Production Technology of Grain Crops, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou 225009, China; 2 Zhenjiang Agricultural Research Institute, Jurong 212400, China
  • Received:2015-11-25 Revised:2016-03-14 Published:2016-07-12 Published online:2016-04-13
  • Contact: 潘学彪, E-mail: shuidao@yzu.edu.cn, Tel: 0514-87972136
  • Supported by:

    This study was supported by the Natural Science Foundation of Jiangsu Province of China (BK20141291), the Jiangsu Province Self-innovation Program [CX (13)5073], the Key Research and Development Program of Jiangsu Province (Modern Agriculture) (BE2015363), and the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions

摘要:

利用SSR分子标记和主要食味性状分析江苏主栽粳稻品种的食味结构。50对SSR引物中有41对存在多态性,41对多态性标记在86个品种间共扩增出113个等位基因,每个标记的等位基因数目为2~6个,平均2.76个;多态信息含量(PIC值)变异范围为0.02~0.84,平均为0.48;Nei基因多样性指数变幅在0.02~0.68之间,平均为0.37;遗传聚类分析可将86个品种分为3个类群。在正季长日照情况下,品种间直链淀粉及蛋白质含量在遗传聚类的I、II、III类中呈现出递减的趋势,食味分值则反之;而在短日照条件下,第II、第III大类型品种的直链淀粉及蛋白质含量较正季显著升高,食味值显著下降,而第I类型品种降幅不大;总体而言,江苏主栽粳稻品种的食味一般且遗传背景相近,拓宽遗传基础是培育环境钝感型优质食味粳稻的重要途径。

关键词: 分子标记, 粳稻, 食味品质, 遗传基础

Abstract:

Fifty indica-japonica specific SSR markers were employed to genotype 86 conventional japonica rice cultivars mainly planted in Jiangsu province and 41 loci showed polymorphism among them. After amplifying in 86 rice varieties, a total of 113 alleles were detected at the 41 SSR loci, and the allele number ranged from two to six, with an average of 2.76 in each locus. Polymorphism information content (PIC) value of these 41 SSR markers ranged from 0.02 to 0.84, with an average value of 0.48; Nei’s expected heterozygosity value of the 41 markers ranged from 0.02 to 0.68, and the average value was 0.37. Based on the coefficient index ranged from 0.72 to 1.00, we divided the 86 cultivars into three groups by UPGMA. The analysis of taste quality traits investigated under different environments indicated that the taste quality of conventional japonica rice cultivars in Jiangsu was correlated with the genetic clustering. Under long-day (LD) condition, the amylose content (AC) and protein content (PC) manifested a tendency of group I > group II > group III, while the taste value (TV) was opposites. And under short-day (SD) condition, taste quality traits of group II and group III varied significantly compared with that under LD condition, while the traits of group I had no significant change. In short, the results indicated that the main cultivars grown in Jiangsu have a general taste quality and narrow genetic background, broadening the genetic basis is an important approach to breed japonica rice cultivars with environment-insensitivity and good eating quality.

Key words: SSR marker, Japonica rice, Taste quality, Genetic basis

[1] 陈温福, 潘文博, 徐正进. 我国粳稻生产现状及发展趋势. 沈阳农业大学学报, 2006, 37: 801−805
Chen W F, Pan W B, Xu Z J. Current situation and trends in production of japonica rice in China. J Shenyang Agric Univ, 2006, 37: 801−805 (in Chinese with English abstract)
[2] 王才林, 朱镇, 张亚东, 赵凌. 江苏省粳稻品质改良的成就、问题与对策. 江苏农业学报, 2008, 24: 199−203
Wang C L, Zhu Z, Zhang Y D, Zhao L. Achievement and consideration on improving of grain quality for japonica rice in Jiangsu, China. Jiangsu J Agric Sci, 2008, 24: 199−203 (in Chinese with English abstract)
[3] 王才林, 张亚东, 朱镇, 陈涛, 赵庆勇, 赵凌, 周丽慧, 姚姝. 优良食味粳稻新品种南粳5055的选育及利用. 农业科技通讯, 2012, (2): 84−88
Wang C L, Zhang Y D, Zhu Z, Chen T, Zhao Q Y, Zhao L, Zhou L H, Yao S. Breeding and application of new good eating quality variety Nanjing 5055. Bull Agric Sci & Technol, 2012, (2): 84−88 (in Chinese)
[4] 王才林, 陈涛, 张亚东, 朱镇, 赵凌, 林静. 通过分子标记辅助选择培育优良食味水稻新品种. 中国水稻科学, 2009, 23: 25−30
Wang C L, Chen T, Zhang Y D, Zhu Z, Zhao L, Lin J. Breeding of a new rice variety with good eating quality by marker assisted selection. Chin J Rice Sci, 2009, 23: 25−30 (in Chinese with English abstract)
[5] 潘学彪, 陈宗祥, 左示敏, 张亚芳, 吴旭江, 马宁, 江祺祥, 阙金华, 周春和. 以分子标记辅助选择育成抗条纹叶枯病水稻新品种“武陵粳1号”. 作物学报, 2009, 35: 1851−1857
Pan X B , Chen Z X , Zuo S M , Zhang Y F , Wu X J , Ma N, Jiang Q X, Que J H, Zhou C H. A new rice cultivar “Wulingjing 1” with resistance to rice stripe virus bred by marker assisted selection. Acta Agron Sin, 2009, 35: 1851−1857 (in Chinese with English abstract)
[6] Upadhyay P, Neeraja C N, Kole C, Singh V K. Population structure and genetic diversity in popular rice varieties of India as evidenced from SSR analysis. Biochem Genet, 2012, 50: 770−783
[7] Sun L H, Wang C M, Su C C, Liu Y Q, Zhai H Q, Wan J M. Mapping and marker-assisted selection of a brown planthopper resistance gene bph2 in rice (Oryza sativa L.). J Genet Genomics, 2006, 33: 717−723
[8] McCouch S R, Teytelman L, Xu Y, Lobos K B, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y. Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Res, 2002, 9: 199−207
[9] McCouch S, Kochert G, Yu Z, Wang Z, Khush G, Coffman W, Tanksley S. Molecular mapping of rice chromosomes. Theor Appl Genet, 1988, 76: 815−829
[10] Shete S, Tiwari H, Elston R C. On estimating the heterozygosity and polymorphism information content value. Theor Population Biol, 2000, 57: 265−271
[11] Yeh F, Yang R, Boyle T. POPGENE, Version 1.31. Microsoft Window-based Freeware for Population Genetic Analysis. University of Alberta, Edmonton, Canada. In., 1999
[12] Rohlf F J. NTSYS-pc: Numerical Taxonomy and Multivariate Analysis System. New York: Applied Biostatistics Inc, 1998
[13] 徐大勇, 杜永, 方兆伟, 潘启民, 杨建昌, 朱庆森. 江淮稻区不同穗型粳稻品种主要农艺和品质特性的比较分析. 作物学报, 2006, 32: 379−384
Xu D Y, Du Y, Fang Z W, Pan Q M, Yang J C, Zhu Q S. Comparison on main agronomical and quality characters between japonica cultivars with diferent panicle types in Jiang-Huai area. Acta Agron Sin, 2006, 32: 379−384 (in Chinese with English abstract)
[14] 周振玲, 王宝祥, 樊继伟, 卢百关, 赵志刚, 江玲, 秦德荣, 万建民, 徐大勇. 江淮稻区不同生态型粳稻品种的籼粳分化度和遗传多样性. 中国水稻科学, 2012, 26: 431−437
Zhou Z L, Wang B X, Fan J W, Lu B G, Zhao Z G, Jiang L, Qin D R, Wan J M, Xu D Y. Indica-japonica differentiation degree and genetic diversity of japonica cultivars belonging to different ecotypes from the Yangtze-Huaihe region. Chin J Rice Sci, 2012, 26: 431−437 (in Chinese with English abstract)
[15] Martin C, Smith A M. Starch biosynthesis. Plant Cell, 1995, 7: 971
[16] Juliano B O. Criteria and test for rice grain quality. In: Juliano B O, ed. Rice Chemistry and Technology. St. Paul, Minn. American Association of Cereal Chemists Inc., 1985. pp 443−513
[17] Tan Y, Zhang Q. Correlation of Simple Sequence Repeat (SSR) variants in the leader sequence of the waxy gene with amylose content of the grain in rice. Acta Bot Sin, 2000, 43: 146−150
[18] 万映秀, 邓其明, 王世全, 刘明伟, 周华强, 李平. 水稻Wx基因的遗传多态性及其与主要米质指标的相关性分析. 中国水稻科学, 2006, 20: 603−609
Wan Y X, Den Q M, Wang S Q, Liu M W, Zhou H Q, Li P. Genetic polymorphism of Wx gene and its correlation with major grain quality traits in rice. Chin J Rice Sci, 2006, 20: 603−609 (in Chinese with English abstract)
[19] 张巧凤, 吉健安, 张亚东, 赵凌, 朱镇, 王才林. 粳稻食味仪测定值与食味品尝综合值的相关性分析. 江苏农业学报, 2007, 23: 161−165
Zhang Q F, Ji J A , Zhang Y D, Zhao L, Zhu Z, Wang C L. Correlation analysis between tested value and comprehensive taste evaluation of japonica rice. Jiangsu J Agric Sci, 2007, 23: 161−165 (in Chinese with English abstract)

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