Scientia Agricultura Sinica ›› 2016, Vol. 49 ›› Issue (18): 3489-3503.doi: 10.3864/j.issn.0578-1752.2016.18.003

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

QTL Analysis of Heading Date and Yield Traits in Japonica Rice Under Cold Water Stress in Different Years

YANG Luo-miao, SUN Jian, ZHAO Hong-wei, WANG Jing-guo, LIU Hua-long, ZOU De-tang   

  1. Rice Research Institute, College of Agricultural, Northeast Agricultural University, Harbin 150030
  • Received:2016-04-21 Online:2016-09-16 Published:2016-09-16

Abstract: 【Objective】Heading date, seed setting rate, thousand grain weight and grain weight per plant are traits associated with yield and these traits are greatly influenced by cold water. Therefore, the QTL analysis of heading date, seed setting rate, thousand grain weight and grain weight per plant of rice under cold water stress were conducted in the present study in order to provide a scientific basis for the rice genetic mechanism of cold tolerance and molecular marker assisted breeding. 【Method】 Totally 190 recombinant inbred line (RIL) populations derived from two rice varieties (Dongnong 422 and Kongyu131) were used as materials under cold water irrigation at booting stage, a linkage map was constructed using 155 SSR markers. The correlation analysis on the initial heading (IHD) date, full heading (FHD) date, seed setting rate, thousand grain weight and grain weight per plant were conducted to detect (QTL) these traits by stepwise joint QTL mapping method. The correlations between QTLs of different traits were determined by using the hypergeometric probability function. 【Result】 IHD and FHD were postponed under cold water irrigation in two parents and RIL. Seed setting rate, thousand grain weight and grain weight per plant had significant changes. Those traits had a positive or a negative correlation. A total of 71 QTLs were detected by using stepwise joint QTL mapping method, among them, 37 QTL were associated with cold tolerance, among them, 28 were detected under single- environment, 11 QTL explained beyond 10% of phenotypic variance, 10 QTL were detected under the single-treatment, 6 QTL explained beyond 10% of phenotypic variance, all 17 QTL were associated with cold tolerance. Five QTL had significant QE interaction under the Joint QTLs combining data of all environments. Twenty pairs of additive×additive epistasis were detected, and two main-effect QTL had epistatic interaction. Hypergeometric probability function showed that QTL was associated among those traits. By comparing the mapping results, some of the detected QTLs were in the same or adjacent chromosomal regions of previously reported QTLs, which include qIHD7-2, qFHD7-2, qFHD7-1 and qIHD7-1. These four QTL were stable in different environments, meanwhile, qIHD7-1, qIHD7-2, qFHD7-1, qSSR7-1 and qSSR7-2 were associated with cold tolerance. These QTL loci may provide a basis for molecular breeding for cold resistance in rice.【Conclusion】Seed setting rate has similar genetic mechanism with heading date, thousand grain weight and grain weight per plant under cold water stress. However, heading date, thousand grain weight and grain weight per plant are independently inherited. Meanwhile, it is more harder to breed the rice has high seed setting rate than heading date, thousand grain weight and grain weight per plant under cold water stress.

Key words: Japonica rice, cold water stress, heading data, yield traits, QTL

[1]    Gao J P, Chao D Y, Lin H X. Toward understanding molecular mechanisms of abiotic stress responses in rice. Rice, 2008, 1(1): 36-51.
[2]    Fukao T, Xiong L. Genetic mechanisms conferring adaptation to submergence and drought in rice: simple or complex? Current Opinion in Plant Biology, 2013, 16(2): 196-204.
[3]    Wei X, Xu J, Guo H, Jiang L, Chen S, Yu C, Zhou Z, Hu P, Zhai H, Wan J. DTH8 suppresses flowering in rice, influencing plant height and yield potential simultaneously. Plant physiology, 2010, 153(4): 1747-1758.
[4]    Yu S, Li J, Xu C, Tan Y, Li X, Zhang Q. Identification of quantitative trait loci and epistatic interactions for plant height and heading date in rice. Theoretical and Applied Genetics, 2002, 104(4): 619-625.
[5]    Lafitte H, Ismail A, Bennett J. Abiotic stress tolerance in rice for Asia: progress and the future// Fischer T, Turner N, Angus J, McIntyre L, Robertson M, Borrell A. New directions for a diverse planet: Proceedings of the 4th International Crop Science Congress. Brisbane, Australia, 2004.
[6]    Satake T. Sterile-type cool injury in paddy rice plants. Climate & rice, 1976: 281-300.
[7]    王国骄, 马殿荣, 苗微, 王嘉宇, 陈温福. 长期冷水胁迫对杂草稻和栽培稻农艺性状的影响. 沈阳农业大学学报, 2013, 44(1): 1-6.
Wang G J, Ma D R, Miao W, Wang J Y, Chen W F. Effects of long-term cold water stress on agronomic characters in weedy and cultivated rice. Journal of Shenyang Agricultural University,2013, 44(1): 1-6. (in Chinese)
[8]    徐福荣, 汤翠凤, 余腾琼, 阿新祥, 张恩来, 杨雅云, 张墩宇, 董超, 彭新禧, 戴陆园. 低纬高原和高纬平原粳稻主要耐冷相关性状的遗传分析. 中国水稻科学, 2009, 23(5): 481-488.
Xu F R, Tang C F, Yu T Q, A X X, Zhang E L, Yang Y Y, Zhang D Y, Dong C, Peng X X, Dai L Y. Genetic analysis of main characteristics related to cold tolerance in japonica rice from low-latitude plateau and high-latitude plain. Chinese Journal of Rice Science, 2009, 23(5): 481-488. (in Chinese)
[9]    徐福荣, 余腾琼, 汤翠凤, 阿新祥, 樊传章, 胡意良, 张敦宇, 董超,戴陆园. 粳稻十和田/昆明小白谷重组自交系群体主要农艺性状的低温反应. 中国农业科学, 2008, 41(11): 3437-3447.
Xu F R, Yu T Q, Tang C F, A X X, Fan C Z, Hu Y L, Zhang D Y, Dong C, Dai L Y. Low-temperature response to major agronomic traits by using recombinant inbred line (RIL) populations derived from Towada/Kunmingxiaobaigu Scientia Agricultura Sinica, 2008, 41(11): 3437-3447. (in Chinese)
[10]   Zeng Y, Yang S, Cui H, YANG X J, XU L, DU J, PU X Y, LI Z C, CHENG Z Q, HUANG X Q. QTLs of cold tolerance-related traits at the booting stage for NIL-RILs in rice revealed by SSR. Genes & Genomics, 2009, 31(2): 143-154.
[11]   谢勇武, 杨树明, 曾亚文, 杨涛, 普晓英, 杜鹃, 赵春艳, 张明喜. 粳稻 02428× 02428c重组自交系孕穗期耐冷性QTL分析. 中国水稻科学, 2011, 25(6): 681-684.
Xie Y W, Yang S M, Zeng Y W, Yang T, Pu X Y, Du J, Zhao C Y, Zhang M X. QTL analysis of cold tolerance in Japonica     rice using recombinant inbred lines from 02428×02428c at booting stage. Chinese Journal of Rice Science, 2011, 25(6): 681-684. (in Chinese)
[12]   Ye C, Fukai S, Godwin I, Reinke R, Snell P, Schiller J, Basnayake J. Cold tolerance in rice varieties at different growth stages. Crop and Pasture Science, 2009, 60(4): 328-338.
[13]   李海波, 侯守贵, 于广星, 王友芬, 陈盈, 王宁, 赵琦, 付亮, 张红艳, 邢亚南. 孕穗抽穗期低温对水稻植株, 产量性状及脯氨酸含量的影响. 中国农学通报, 2011, 27(1): 63-68.
Li H B, Hou S G, Yu G X, Wang Y F, Chen Y, Wang N, Zhao Q, Fu L, Zhang H Y, Xing Y N. Effects of low temperature stresses on the characters of plant, yield and the proline contents in rice leaves at booting and heading stages. Chinese Agricultural Science Bulletin, 2011, 27(1): 63-68. (in Chinese)
[14]   Kuroki M, Saito K, Matsuba S, Yokogami N, Shimizu  H, Ando I, Sato Y. A quantitative trait locus for cold tolerance at the booting stage on rice chromosome 8. Theoretical and Applied Genetics, 2007, 115(5): 593-600.
[15]   Saito K, Hayano Saito Y, Kuroki M, Sato Y. Map-based cloning of the rice cold tolerance gene Ctb1. Plant science, 2010, 179(1): 97-102.
[16]   Takeuchi Y, Hayasaka H, Chiba B, Tanaka I, Shimano  T, Yamagishi M, Nagano K, Sasaki T, Yano M. Mapping quantitative trait loci controlling cool-temperature tolerance at booting stage in temperate japonica rice. Breeding science, 2001, 51(3): 191-197.
[17]   韩龙植, 乔永利, 张三元, 曹桂兰, 叶昌荣, 徐福荣, 戴陆园, 芮钟斗, 高熙宗. 不同生长环境下水稻主要农艺性状的QTL分析. 中国农业科学, 2005, 38(6): 1080-1087.
Hang L Z, Qiao Y L, Zhang S Y, Cao G L, Ye C R, XU F R, Dai L Y, Rui Z D, Gao X Z. QTL analysis of some agronomic traits in rice under different growing environments. Scientia Agricultura Sinica, 2005, 38(6): 1080-1087. (in Chinese)
[18]   Imam A, Allard R W. Population studies in predominantly self-pollinated species: VI. Genetic variability between and within natural populations of wild oats from differing habitats in California. Genetics, 1965, 51(1): 49-62.
[19]   Li Z, Yu S, Lafitte H, Huang N, Courtois B, Hittalmani S, Vijayakumar C, Liu G, Wang G, Shashidhar H. QTL× environment interactions in rice: I. Heading date and plant height. Theoretical and Applied Genetics, 2003, 108(1): 141-153.
[20]   Yan W. GGEbiplot-a Windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agronomy Journal, 2001, 93(5): 1111-1118.
[21]   Larsen R J, Marx M L. An introduction to probability and its applications. America:Prentice-Hall,1985.
[22]   Peleg Z, Fahima T, Krugman T, Abbo S, Yakir D, Korol A B, Saranga Y. Genomic dissection of drought resistance in durum wheat× wild emmer wheat recombinant inbreed line population. Plant, cell & environment, 2009, 32(7): 758-779.
[23]   Matsunaga K. Establishment of an evaluation method for cold tolerance at the booting stage of rice using deep water irrigation system and development of highly cold-tolerant rice varieties by combining cold tolerance genes. Miyagi Prefectural Furukawa Agricultural Experiment Station, 2005, 4: 1-78.
[24]   HOSSEINI M, Houshmand S, Mohamadi S, Tarang A, Khodambashi M, Rahimsoroush H. Detection of QTLs with main, epistatic and QTL× environment interaction effects for rice grain appearance quality traits using two populations of backcross inbred lines (BILs). Field Crops Research, 2012, 135: 97-106.
[25]   Doyle J J. Isolation of plant DNA from fresh tissue. Focus, 1990,  12: 13-15.
[26]   McCouch S, Cho Y, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T. Report on QTL nomenclature. Rice Genetics Newsletter, 1997, 14 (11): 11-131.
[27]   Paterson A H, Lin Y R, Li Z, Schertz K F. Convergent domestication of cereal crops by independent mutations at corresponding genetic loci. Science, 1995, 269 (5231): 1714.
[28]   Malosetti M, Ribaut J M, Vargas M, Crossa J, Van Eeuwijk F A. A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.). Euphytica, 2008, 161(1/2): 241-257.
[29]   Messmer R, Fracheboud Y, Bänziger M, Vargas M, Stamp P, Ribaut J M. Drought stress and tropical maize: QTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits. Theoretical and Applied Genetics, 2009, 119(5): 913-930.
[30]   XU F, YU T, TANG C, Xin X A, FAN C, HU Y, ZHANG D, Chao D, DAI L. Low-temperature response to major agronomic traits by using recombinant inbred line (RIL) populations derived from Towada× Kunmingxiaobaigu. Agricultural Sciences in China, 2009, 8(11): 1301-1311.
[31]   Paterson A H, Damon S, Hewitt J D, Zamir D, Rabinowitch H D, Lincoln S E, Lander E S, Tanksley S D. Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments. Genetics, 1991, 127(1): 181-197.
[32]   Xiao J, Li J, Yuan L, TANKSLEY S D. Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross. Theoretical and applied genetics, 1996, 92(2): 230-244.
[33]   Fujino K, Sekiguchi H. Identification of QTLs conferring genetic variation for heading date among rice varieties at the  northern-limit of rice cultivation. Breeding science, 2005, 55(2): 141-146.
[34]   Rabiei B, Valizadeh M, Ghareyazie B, Moghaddam M, Ali A. Identification of QTLs for rice grain size and shape of Iranian cultivars using SSR markers. Euphytica, 2004, 137(3): 325-332.
[35]   Fornara F, Pa?enicová L, Falasca G, Pelucchi N, Masiero S, Ciannamea S, Lopez-Dee Z, Altamura M M, Colombo L, Kater M M. Functional characterization of OsMADS18, a member of the AP1/SQUA subfamily of MADS box genes. Plant physiology, 2004, 135(4): 2207-2219.
[36]   Niu N, Liang W, Yang X, Jin W, Wilson Z A, Hu J, Zhang D. EAT1 promotes tapetal cell death by regulating aspartic proteases during male reproductive development in rice. Nature Communications, 2013, 4: 1445.
[37]   Abe Y, Mieda K, Ando T, Kono I, Yano M, Kitano H, Iwasaki Y. The SMALL AND ROUND SEED1 (SRS1/DEP2) gene is involved in the regulation of seed size in rice. Genes & genetic systems, 2010, 85(5): 327-339.
[38]   Ni D H, Li J, Duan Y B, Yang Y C, Wei P C, Xu R F, Li C R, Liang D D, Li H, Song F S. Identification and utilization of cleistogamy gene cl7 (t) in rice (Oryza sativa L.). Journal of experimental botany, 2014, 65(8): 2107-2117.
[39]   Magome H, Nomura T, Hanada A, Takeda K N, Ohnishi T, Shinma Y, Katsumata T, Kawaide H, Kamiya Y, Yamaguchi S. CYP714B1 and CYP714B2 encode gibberellin 13-oxidases that reduce gibberellin activity in rice. Proceedings     of the National Academy of Sciences of the USA, 2013, 110(5): 1947-1952.
[40]   Ye C, Fukai S, Godwin I, Koh H, Reinke R, Zhou Y, Lambrides C, Jiang W, Snell P, Redona E. A QTL controlling low temperature induced spikelet sterility at booting stage in rice. Euphytica, 2010, 176(3): 291-301.
[41]   Suh J, Jeung J, Lee J, Choi Y, Yea J, Virk P, Mackill D, Jena K. Identification and analysis of QTLs controlling cold tolerance at the reproductive stage and validation of effective QTLs  in cold-tolerant genotypes of rice (Oryza sativa L.). Theoretical and
Applied Genetics, 2010, 120(5): 985-995.
[42]   Shirasawa S, Endo T, Nakagomi K, Yamaguchi M, Nishio T. Delimitation of a QTL region controlling cold tolerance at booting stage of a cultivar,‘Lijiangxintuanheigu’, in rice, Oryza sativa L.. Theoretical and Applied Genetics, 2012, 124(5): 937-946.
[43]   Jena K, Kim S, Suh J, Yang C, Kim Y. Identification of cold-tolerant breeding lines by quantitative trait loci associated with cold tolerance in rice. Crop science, 2012, 52(2): 517-523.
[1] ZHAO LiMing,HUANG AnQi,WANG YaXin,JIANG WenXin,ZHOU Hang,SHEN XueFeng,FENG NaiJie,ZHENG DianFeng. Effect of Deep Tillage Under Continuous Rotary Tillage on Yield Formation of High-Quality Japonica Rice in Cold Regions [J]. Scientia Agricultura Sinica, 2022, 55(22): 4550-4566.
[2] SHAO XiaoLong,XU Wen,WANG Xiao,YANG XiaoJing,SHEN Fei,LIU Qin. Fissure Development of Three Japonica Rice Grain during Water Desorption [J]. Scientia Agricultura Sinica, 2022, 55(2): 390-402.
[3] DENG AiXing,LIU YouHong,MENG Ying,CHEN ChangQing,DONG WenJun,LI GeXing,ZHANG Jun,ZHANG WeiJian. Effects of 1.5℃ Field Warming on Rice Yield and Quality in High Latitude Planting Area [J]. Scientia Agricultura Sinica, 2022, 55(1): 51-60.
[4] MA HuiZhen,CHEN XinYi,WANG ZhiJie,ZHU Ying,JIANG WeiQin,REN GaoLei,MA ZhongTao,WEI HaiYan,ZHANG HongCheng,LIU GuoDong. Analysis on Appearance and Cooking Taste Quality Characteristics of Some High Quality Japonica Rice in China [J]. Scientia Agricultura Sinica, 2021, 54(7): 1338-1353.
[5] XU FangFu,BIAN JinLong,HAN Chao,CHEN ZhiQing,LIU GuoDong,XING ZhiPeng,HU YaJie,WEI HaiYan,ZHANG HongCheng. Temperature and Light Adaptability of High-Quality Japonica Rice and Optimum Seeding Date in Huaibei Region [J]. Scientia Agricultura Sinica, 2021, 54(7): 1365-1381.
[6] JIANG WeiQin,HU Qun,YU Hang,MA HuiZhen,REN GaoLei,MA ZhongTao,ZHU Ying,WEI HaiYan,ZHANG HongCheng,LIU GuoDong,HU YaJie,GUO BaoWei. Effect of One-Time Basal Application of the Mixed Controlled-Release Nitrogen Fertilizer in Japonica Rice with Good Taste Quality [J]. Scientia Agricultura Sinica, 2021, 54(7): 1382-1396.
[7] YIN Min,LIU ShaoWen,CHU Guang,XU ChunMei,WANG DanYing,ZHANG XiuFu,CHEN Song. Differences in Yield and Growth Traits of Different Japonica Varieties in the Double Cropping Late Season in the Lower Reaches of the Yangtze River [J]. Scientia Agricultura Sinica, 2020, 53(5): 890-903.
[8] YANG QingHua, QIU Jun, LI Hai, YANG TianYu, CHENG BingWen, ZHAO Min, LIU GuoQing, GAO XiaoLi, FENG BaiLi. Comprehensive Evaluation of Agronomic, Yield and Quality Traits of Broomcorn Millet (Panicum miliaceum L.) Cultivars [J]. Scientia Agricultura Sinica, 2017, 50(23): 4530-4544.
[9] YANG XiaoMeng, DU Juan, ZENG YaWen, PU XiaoYing, YANG ShuMing, YANG Tao, WANG LuXiang, YANG I JiaZhen. QTL Mapping of Protein and Related Functional Components Content in Barley Grains [J]. Scientia Agricultura Sinica, 2017, 50(2): 205-215.
[10] WANG Guo-jiao, WANG Jia-yu, MA Dian-rong, MIAO Wei, ZHAO Ming-hui, CHEN Wen-fu. Responses of Antioxidant System to Cold Water Stress in Weedy and Cultivated Rice with Different Chilling Sensitivity [J]. Scientia Agricultura Sinica, 2015, 48(8): 1660-1668.
[11] SONG Wei, LI Dong-shen, QIAO Lin, SU An-xiang, HU Wan-jun. Quantitative Analysis of T2 Peak Area and the MRI Images of Japonica Rice with Different Moisture Contents [J]. Scientia Agricultura Sinica, 2015, 48(22): 4529-4538.
[12] YAN Zhi-Qiang-1, XU Hai-1, MA Zuo-Bin-1, 2 , GAO Dong-Chang-1, XU Zheng-Jin-1. Differential Response of Floret Opening to Exo-Methyl Jasmonate Between Subsp.Indica and Subsp. Japonica in Rice [J]. Scientia Agricultura Sinica, 2014, 47(13): 2529-2540.
[13] ZHANG Hong-Cheng, ZHANG Jun, GONG Jin-Long, CHANG Yong, LI Min, GAO Hui, DAI Qi-Gen, HUO Zhong-Yang, XU Ke, WEI Hai-Yan. The Productive Advantages and Formation Mechanisms of “Indica Rice to Japonica Rice” [J]. Scientia Agricultura Sinica, 2013, 46(4): 686-704.
[14] ZHANG Li-Na, CAO Gui-Lan, HAN Long-Zhi. Analysis of Genetic Diversity of Japonica Rice Landrace in China with Microsatellite Marker [J]. Scientia Agricultura Sinica, 2012, 45(3): 405-413.
[15] HUO Zhong-Yang, LI Jie, XU Ke, DAI Qi-Gen, WEI Hai-Yan, GONG Jin-Long, ZHANG Hong-Cheng. Effect of Planting Methods on Quality of Different Growth and Development Types of Japonica Rice Under High-Yielding ultivation Condition [J]. Scientia Agricultura Sinica, 2012, 45(19): 3932-3945.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!