QTLs Analysis for Plant Height and Leaf Traits of Rice under Two Nitrogen Levels

doi:10.7668/hbnxb.201751677

Abstract

Abstract: To reveal the molecular genetic basis of plant height and leaf traits of rice in different nitrogen environments and identify the novel environmental insensitive major QTL cluster, a recombinant inbred lines(RILs) derived from the cross between Toyonishiki(Japonica) and Zhongyouzao 8(Indiaca) was used to identify QTLs for plant height and leaf traits under two different nitrogen levels. The plant height and leaf traits of the parents changed obviously under different nitrogen levels, and the change of Zhongyouzao 8 was significantly higher than that of Toyonishiki. The plant height and leaf traits had higher heritability under different nitrogen levels. A total of thirty-eight QTLs affecting the plant height and leaf traits were identified, which distributed in 17 regions of 10 chromosomes. Among the QTLs detected, nine could be stably expressed in different nitrogen levels, which mainly distributed on chromosomes 7, 8 and 11. Two new stable major QTL clusters qPHLW7 and qFLWA10 were detected.qPHLW7 was located on chromosome 7 and had the function of regulating plant height, leaf length and leaf width. qFLWA10 was located on chromosome 10, which involved in the regulation of flag leaf width and flag leaf area and had obvious function of extending leaf width and area. In addition, a total of 23 epistatic QTLs were detected, and epistatic interaction was one of the most important genetic component to regulate the plant height and leaf traits. Nine stable expressive major QTL were detected, in which the QTL cluster qPHLW7 and qFLWA10 were two key chromosome regions for leaf and plant height traits, and then it will provide a foundation for further study.

Key words: Rice, Nitrogen level, Plant height, Flag leaf, QTL mapping

CLC Number:

S511.03

YAO Xiaoyun, FAN Shuxiu, ZOU Guoxing, WU Yanshou, CHEN Chunlian, XIONG Yunhua, LIU Jin, WANG Jiayu, XU Zhengjin. QTLs Analysis for Plant Height and Leaf Traits of Rice under Two Nitrogen Levels[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2019, 34(6): 54-62. doi: 10.7668/hbnxb.201751677.

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References

[1] 王一平,曾建平,郭龙彪,邢永忠,徐才国,梅捍卫,应存山,罗利军.水稻顶部三叶与穗重的关系及其QTL分析[J].中国水稻科学,2004,19(1):13-20.
Wang Y P, Zeng J P, Guo L B, Xing Y Z, Xu C G, Mei H W, Ying C S, Luo L J. QTL and correlation analysis on characters of top three leaves and panicle weight in rice (Oryza sativa)[J]. Chinese Journal of Rice Science, 2004, 19(1):13-20.
[2] 刘传光,张桂权,周汉钦,冯道基,郑海波.华南地区常规籼稻品种产量和株型性状的遗传改良[J].中国农业科学,2010,43(19):3901-3911.doi:10.3864/j.issn.0578-1752.2010.19.001.
Liu C G, Zhang G Q, Zhou H Q, Feng D J, Zheng H B. Genetic improvement of yield and plant-type traits of inbred Indica rice cultivars in South China[J]. Scientia Agricultura Sinica, 2010, 43(19):3901-3911.
[3] 姜树坤,张喜娟,黄成,邢亚南,郑旭,徐正进,陈温福.基于粳稻F₂和F_2:6群体的连锁图谱及剑叶性状QTL比较分析[J].中国水稻科学,2010,24(4):372-378. doi:10.3969/j.issn.1001-7216.2010.04.007.
Jiang S K, Zhang X J, Huang C, Xing Y N, Zheng X, Xu Z J, Chen W F. Comparison of genetic linkage map and QTLs controlling flag leaf traits based on F₂ and F_2:6 populations derived from Japonica rice[J]. Chinese Journal of Rice Science, 2010, 24(4):372-378.
[4] 樊叶杨,庄杰云,李强,Sala F,郑康乐.水稻株高QTL分析及其与产量QTL的关系[J].作物学报,2001,27(6):915-922. doi:10.3321/j.issn:0496-3490.2001.06.038.
Fan Y Y, Zhuang J Y, Li Q, Sala F, Zheng K L. Analysis of quantitative trait loci (QTL) for plant height and the relation between these QTL and QTL for yield traits in rice[J]. Acta Agronomica Sinica, 2001, 27(6):915-922.
[5] 陈温福,徐正进,张龙步,张文忠,马殿荣.北方粳型稻超高产育种理论与实践[J].中国农业科学, 2007,40(5):869-874.doi:10.3321/j.issn:0578-1752.2007.05.001.
Chen W F, Xu Z J, Zhang L B, Zhang W Z, Ma D R. Theories and practices of breeding Japonica rice for super high yield[J]. Scientia Agricultura Sinica, 2007, 40(5):869-874.
[6] Peng S B, Buresh R J, Huang J L, Yang J C, Zou Y B, Zhong X H, Wang G H, Zhang F S. Strategies for overcoming low agronomic nitrogen use efficiency in irrigated rice systems in China[J]. Field Crops Research, 2006, 96(1):37-47. doi:10.1016/j.fcr.2005.05.004.
[7] 林海建,张志明,张永中,高世斌,潘光堂.作物氮、磷、钾利用相关性状的QTL定位研究进展[J].植物营养与肥料学报,2010, 16(3):732-743. doi:10.11674/zwyf.2010.0332.
Lin H J, Zhang Z M, Zhang Y Z, Gao S B, Pan G T. Advancement of QTL analysis for traits associated to N, P and K utilization[J].Journal of Plant Nutrition and Fertilizers, 2010, 16(3):732-743.
[8] Zhang Y J, Tan L B, Zhu Z F, Yuan L X, Xie D X, Sun C Q. TOND1 confers tolerance to nitrogen deficiency in rice[J]. The Plant Journal, 2015, 81(3):367-376. doi:10.1111/tpj.12736.
[9] Wei D, Cui K H, Ye G Y, Pan J F, Xiang J, Huang J L, Nie L X. QTL mapping for nitrogen-use efficiency and nitrogen-deficiency tolerance traits in rice[J]. Plant and Soil, 2012, 359(1-2):281-295. doi:10.1007/s11104-012-1142-6.
[10] 张卫峰,马林,黄高强,武良,陈新平,张福锁.中国氮肥发展、贡献和挑战[J].中国农业科学,2013,46(15):3161-3171. doi:10.3864/j.issn.0578-1752.2013.15.010.
Zhang W F, Ma L, Huang G Q, Wu L, Chen X P, Zhang F S. The development and contribution of nitrogenous fertilizer in China and challenges faced by the country[J]. Scientia Agricultura Sinica, 2013, 46(15):3161-3171.
[11] Feng Y, Zhai R R, Lin Z C, Cao L Y, Wei X H, Cheng S H. Quantitative trait locus analysis for rice yield traits under two nitrogen levels[J]. Rice Science, 2015, 22(3):108-115. doi:10.1016/j.rsci.2015.05.014.
[12] 冯跃,翟荣荣,曹立勇,林泽川,魏兴华,程式华.不同施氮水平下水稻株高与抽穗期的QTL比较分析[J].作物学报,2011,37(9):1525-1532. doi:10.3724/SP.J.1006.2011.01525.
Feng Y, Zhai R R,Cao L Y,Lin Z C,Wei X H, Cheng S H. QTL analysis for plant height and heading date in rice under two nitrogen levels[J]. Acta Agronomica Sinica, 2011, 37(9):1525-1532.
[13] Zhao C F, Zhou L H, Zhang Y D, Zhu Z, Chen T, Zhao Q Y, Yao S, Yu X, Wang C L. QTL mapping for seedling traits associated with low-nitrogen tolerance using a set of advanced backcross introgression lines of rice[J]. Plant Breeding, 2014, 133(2):189-195. doi:10.1111/pbr.12123.
[14] 张晓果,王丹英,计成林,徐春梅,陈松,章秀福.水稻氮素吸收利用研究进展[J].中国稻米,2015,21(5):13-19. doi:10.3969/j.issn.1006-8082.2015.05.003.
Zhang X G, Wang D Y, Ji C L, Xu C M, Chen S, Zhang X F. Nitrogen absorption and utilization on rice[J]. China Rice, 2015,21(5):13-19.
[15] 杨树明,曾亚文,王荔,杜娟,普晓英,杨涛.不同生长环境下水稻氮、磷、钾利用相关性状的QTL定位分析[J].植物营养与肥料学报,2015,21(4):823-835. doi:10.11674/zwyf.2015.0401.
Yang S M, Zeng Y W, Wang L, Du J, Pu X Y, Yang T. Identification of QTL traits on N, P and K utilization in rice under different growth environments[J]. Journal of Plant Nutrition and Fertilizers, 2015, 21(4):823-835.
[16] Yao X Y, Wang J Y, Liu J, Zhang J, Ren C Y, Ma D R, Xu H, Xu Z J. Mapping quantitative trait loci associated with starch paste viscosity in rice (Oryza sativa L.) under different environmental conditions[J]. Plant Breeding, 2017, 136(5):591-602. doi:10.1111/pbr.12505.
[17] Wang J K, Li H H, Zhang L Y, Meng L. QTL ICI Mapping V4.1[EB/OL]. http://www.isbreeding.net, 2016.
[18] McCouch S R, Cho Y G, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T. Report on QTL nomenclature[J]. Rice Genet Newsletter, 1997, 14(11):11-13.
[19] 赵春芳,赵凌,张亚东,陈涛,赵庆勇,朱镇,周丽慧,姚姝,王才林.水稻苗期耐低氮相关性状的QTL定位[J].华北农学报,2015,30(6):1-7. doi:10.7668/hbnxb.2015.06.001.
Zhao C F, Zhao L, Zhang Y D, Chen T, Zhao Q Y, Zhu Z, Zhou L H, Yao S, Wang C L. QTL mapping for seedling traits related to low nitrogen tolerance in rice[J]. Acta Agriculturae Boreali-Sinica, 2015, 30(6):1-7.
[20] 李亚非,黎毛毛,曹桂兰,韩龙值.水、旱稻氮高效QTL定位及其表达的遗传背景效应研究[J].中国农业科学,2010,43(21):4331-4340. doi:10.3864/j.issn.0578-1752.2010.21.001.
Li Y F, Li M M, Cao G L, Han L Z. Effects of genetic background on expression of QTL for nitrogen efficiency in irrigated rice and upland rice[J]. Scientia Agricultura Sinica,2010,43(21):4331-4340.
[21] 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.doi:10.3969/j.issn.1001-7216.2013.06.003.
Feng Y, Zhai R R, Lin Z C, Cao L Y, Wei X H, Cheng S H. QTL analysis for yield traits in rice under two nitrogen levels[J]. Chinese Journal of Rice Science, 2013, 27(6):577-584.
[22] 龚金龙,邢志鹏,胡雅杰,张洪程,戴其根,霍中洋,许轲,魏海燕,高辉.籼、粳超级稻氮素吸收利用与转运差异研究[J].植物营养与肥料学报,2014,20(4):796-810. doi:10.11674/zwyf.2014.0402.
Gong J L, Xing Z P, Hu Y J, Zhang H C, Dai Q G, Huo Z Y, Xu K, Wei H Y, Gao H. Differences of nitrogen uptake, utilization and translocation between Indica and Japonica super rice[J].Journal of Plant Nutrition and Fertilizers, 2014, 20(4):796-810.
[23] 付景,王志琴,袁莉民,王学明,杨建昌.施氮量对超级稻产量和一些生理性状的影响[J].中国水稻科学, 2014, 28(4):391-400. doi:10.3969/j.issn.1001-7216.2014.04.008.
Fu J, Wang Z Q, Yuan L M, Wang X M, Yang J C. Effect of nitrogen rates on grain yield and some physiological traits of super rice[J]. Chinese Journal of Rice Science, 2014, 28(4):391-400.
[24] Wei D, Cui K H, Pan J F, Ye G Y, Xiang J, Nie L X, Huang J L.Genetic dissection of grain nitrogen use efficiency and grain yield and their relationship in rice[J]. Field Crops Research, 2011, 124(3):340-346. doi:10.1016/j.fcr.2011.07.003.
[25] 唐江云,张涛,蒋开锋,杨莉,杨乾华,万先齐,曹应江,游书梅,郑家奎.利用基础导入系群体定位氮胁迫下水稻产量性状QTL[J].农业生物技术学报,2011,19(6):996-1002.doi:10.3969/j.issn.1674-7968.2011.06.003.
Tang J Y, Zhang T, Jiang K F, Yang L, Yang Q H, Wan X Q, Cao Y J, You S M, Zheng J K. Identification of QTL for yield traits of low nitrogen stress by using introgression lines of rice[J]. Journal of Agricultural Biotechnology, 2011, 19(6):996-1002.
[26] 姚晓云,李清,刘进,姜树坤,杨生龙,王嘉宇,徐正进.不同环境下水稻株高和穗长的QTL分析[J].中国农业科学,2015,48(3):407-414. doi:10.3864/j.issn.0578-1752.2015.03.01.
Yao X Y, Li Q, Liu J, Jiang S K, Yang S L, Wang J Y, Xu Z J. Dissection of QTLs for plant height and panicle length traits in rice under different environment[J].Scientia Agricultura Sinica, 2015, 48(3):407-414.
[27] Liu R X, Zhang H, Zhao P, Zhang Z X, Liang W K, Tian Z G, Zheng Y L. Mining of candidate maize genes for nitrogen use efficiency by integrating gene expression and QTL data[J]. Plant Molecular Biology Reporter, 2012,30(2):297-308. doi:10.1007/s11105-011-0346-x.
[28] 高易宏,燕金香,涂政军,冷语佳,陈龙,黄李超,代丽萍,张光恒,朱丽,胡江,任德勇,郭龙彪,钱前,王丹英,曾大力.不同氮处理下水稻剑叶叶宽的全基因组关联分析[J].中国农业科学,2017,50(14):2635-2646. doi:10.3864/j.issn.0578-1752.2017.14.001.
Gao Y H, Yan J X, Tu Z J, Leng Y J, Chen L, Huang L C, Dai L P, Zhang G H, Zhu L, Hu J, Ren D Y,Guo L B, Qian Q, Wang D Y, Zeng D L. Genome-wide association analysis on flag leaf width under different nitrogen levels in rice[J]. Scientia Agricultura Sinica, 2017, 50(14):2635-2646.
[29] 吕海霞,周广生,丁泽红,孙永建,余四斌.水稻染色体片段代换系对氮反应的QTL分析[J].分子植物育种,2010,8(6):1074-1081. doi:10.3969/mpb.008.001074
Lü H X,Zhou G S, Ding Z H, Sun Y J, Yu S B. QTL Identification for nitrogen responses in rice chromosomal segment substitution lines[J]. Molecular Plant Breeding, 2010, 8(6):1074-1081.
[30] Lian X M, Xing Y Z, Yan H, Xu C G, Li X H, Zhang Q F. QTL for low nitrogen tolerance at seedling stage identified using a recombinant inbred line population derived from an elite rice hybrid[J]. Theoretical and Applied Genetics, 2005, 112(1):85-96. doi:10.1007/s00122-005-0108-y.
[31] An D G, Su J Y, Liu Q Y, Zhu Y G, Tong Y P, Li J M, Jing R L, Li B, Li Z S. Mapping QTL for nitrogen uptake in relation to the early growth of wheat (Triticum aestivum L.)[J]. Plant and Soil, 2006, 284(1-2):73-84. doi:10.1007/s11104-006-0030-3.
[32] 曾威,白建江,张才辉,杨瑞芳,方军,朴钟泽,石英尧.水稻氮素利用效率相关性状的动态QTL分析[J].江苏农业科学,2016,44(4):110-114.doi:10.15889/j.issn.1002-1302.2016.04.028.
Zen W, Bai J J, Zhang C H, Yang R F, Fang J, Pu Z Z, Shi Y R. Dynamic QTL analysis of nitrogen use efficiency related traits in rice (Oryza sativa L.)[J].Jiangsu Agricultural Sciences, 2016, 44(4):110-114.
[33] 郭小蛟,张涛,蒋开锋,杨莉,曹应江,杨乾华,游书梅,万先齐,罗婧,李昭祥,高磊,郑家奎.水稻籼粳交F₈、F₂群体穗长QTL比较分析[J].中国农业科学,2013,46(23):4849-4857. doi:10.3864/j.issn.0578-1752.2013.23.001.
Guo X J, Zhang T, Jiang K F, Yang L, Cao Y J, Yang Q H, You S M, Wan X Q, Luo J, Li Z X, Gao L, Zheng J K. Comparison of panicle length QTL based on F₂ and F₈ populations derived from rice subspecies cross[J]. Scientia Agricultura Sinica, 2013, 46(23):4849-4857.
[34] 赵建国,蒋开锋,杨莉,杨乾华,万先齐,曹应江,游书梅,罗婧,张涛,郑家奎.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.
Zhao J G, Jiang K F, Yang L, Yang Q H, Wan X Q, Cao Y J, You S M, Luo Q, Zhang T,Zheng J K.QTL mapping for yield related components in a RIL population of rice[J].Chinese Journal of Rice Science, 2013, 27(4):344-352.

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