Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2017, Vol. 43 ›› Issue (09): 1280-1289.doi: 10.3724/SP.J.1006.2017.01280

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

Correlation Analysis of Sclerotinia Resistance with Lignin Content and Monomer G/S and its QTL Mapping in Brassica napus L.

CHEN Xue-Ping**,JING Ling-Yun**,WANG Jia,JIAN Hong-Ju,MEI Jia-Qin,XU Xin-Fu,LI Jia-Na,LIU Lie-Zhao*   

  1. College of Agronomy and Biotechnology, Southwest University / Chongqing Engineering Research Center for Rapeseed, Chongqing, 400715, China
  • Received:2017-01-07 Revised:2017-04-20 Online:2017-09-12 Published:2017-05-08
  • Contact: 刘列钊, E-mail: liezhao2003@126.com, Tel: 023-68251383 E-mail:1473718700@qq.com
  • Supported by:

    This study was supported by the National Natural Science Foundation of China (31371655) and the Science and Technology Committee of Chongqing (cstc2016shmszx80083).

Abstract:

Sclerotinia sclerotiorum is a fungal pathogen causing disease in a wide range of plants, resulting in serious damage in crop production. The detached stem inoculation assay of RIL and F2 populations at final flowering stage was conducted, near infrared (NIR) spectroscopy was used to measure lignin content and monomer G/S in the stem, and correlation analysis and QTL mapping for these traits were performed. The lesion size of the RIL had a significantly negative correlation with lignin content, with a correlation coefficient at –0.348 and –0.286 in 2013 and 2014, respectively. The monomer G/S was significantly correlated with lesion size in the RIL population, and the correlation coefficient at 0.198 and 0.167 in 2013 and 2014, respectively. The lesion size of F2 in 2014 was significantly and negatively correlated with lignin content in the stem, with a correlation coefficient at –0.306. The cross sections of resistant and susceptible plants from F2:3 family were stained with phloroglucinol-HCl, showing that the content of lignin was significantly lower in the less resistant materials than in more resistant plants. According to the high density SNP genetic maps and composite interval mapping, a total of 18 QTLs were identified, which were located on A04, A05, A06, A08, C01, C03, C04, C06, and C07 chromosomes, with the explained phenotypic variation by individual QTL ranging from 2.38% to 12.05% for nine QTLs of lesion size, from 2.03% to 13.75% for three QTLs of lignin content, and from 2.06% to 8.66% for six QTLs of monomer G/S. The research results provide some new insights for the Sclerotinia resistance breeding in B. napus.

Key words: Brassica napus, Sclerotinia sclerotiorum, Correlation, QTL, Lignin, Monomer G/S

[1]Carr R A, McDonald B E. Rapeseed in a changing world: Processing and utilization. GCIRC Eighth International Rapeseed Congress. Saskatoon, 1991. pp 39–56
[2]李加纳, 谌利, 张学昆. 甘蓝型黄籽油菜的研究与思考. 北京: 中国农业科技出版社, 2004. pp 29–39
Li J N, Chen L, Zhang X K. Research and thinking of yellow-seeded rapeseed (Brassica napus L.). Beijing: China Science and Technology Press, 2004. pp 29–39 (in Chinese)
[3]Zhao J, Meng J. Genetic analysis of loci associated with partial resistance to Sclerotina sclerotiorum in rapeseed (Brassica napus L.). Theor Appl Genet, 2003, 106: 759–764
[4]Garg H, Sivasithamparam K, Banga S. Cotyledon assay as a rapid and reliable method of screening for resistance against Sclerotinia sclerotiorum in Brassica napus genotypes. Australas Plant Path, 2008, 37: 106–111
[5]Bradley C, Hamey H. Canola disease situation in North Dakota, USA, 1993–2004. 14th Australian Research Assembly on Brassicas. Port Lincoln, 2005. pp 33–34
[6]Turkington T K, Morrall R A A. Use of petal infestation to forecast Sclerotinia stem rot of canola: the influence of inoculum variation over the flowering period and canopy density. Phytopathology, 1993, 83: 682–689
[7]Del Río L E, Bradley C A, Henson R A, Endres G J, Hanson B K, McKay K, Halvorson M, Porter P M, Le Gare D G, Lamey H A. Impact of Sclerotinia stem rot on yield of canola. Plant Dis, 2007, 91: 191–194
[8]王汉中, 刘贵华, 郑元本, 王新发, 杨庆. 抗菌核病双低油菜新品种中双9号选育及其重要防御酶活性变化规律的研究. 中国农业科学, 2004, 37: 23–23
Wang H Z, Liu G H, Zheng Y B, Wang X F, Yang Q. Breeding of the Brassica napus cultivar zhongshuang 9 with high-resistance to Sclerotinia sclerotiorum and dynamics of its important defense enzyme activity. Sci Agric Sin, 2004, 37: 23–23 (in Chinese with English abstract)
[9]Zhao J, Udall J A, Quijada P A, Grau C R, Meng J, Osborn T C. Quantitative trait loci for resistance to Sclerotinia sclerotiorum and its association with a homeologous non-reciprocal transposition in Brassica napus L. Theor Appl Genet, 2006, 112: 509–516.
[10]Wu J, Cai G, Tu J, Li L, Liu S, Luo X, Zhou L, Fan C, Zhou Y. Identification of QTLs for resistance to Sclerotinia stem rot and BnaC.IGMT5.a as a candidate gene of the major resistant QTL SRC6 in Brassica napus. PloS One, 2013, 8: e67740
[11]周李鹏. 甘蓝型油菜抗菌核病QTL定位. 华中农业大学硕士学位论文, 湖北武汉, 2014. pp 20–21
Zhou L P. QTL mapping for Resistance to Sclerotinia Stem rot in Brassica napus. PhD Dissertation of Huazhong Agricultural University, Wuhan, China, 2014. pp 20–21 (in Chinese with English abstract)
[12]梅家琴. 甘蓝与甘蓝型油菜C亚基因组遗传关系调查及甘蓝抗菌核病QTL定位. 西南大学博士学位论文, 重庆, 2011. pp 62–73
Mei J Q. Genetic investigation of relationships between Brassica oleracea and C subgenome of B. napus and mapping QTL for Sclerotinia sclerotiorum resistance in B. oleracea. PhD Dissertation of Southwest University, Chongqing, China, 2011. pp 62–73 (in Chinese with English abstract)
[13]Wei L, Jian H, Lu K, Filardo F, Yin N, Liu L, Qu C, Wei L, Du H, Li J. Genome-wide association analysis and differential expression analysis of resistance to Sclerotinia stem rot in Brassica napus. Plant Biotechnol J, 2015, 14: 1368–1380
[14]Wu J, Zhao Q, Yang Q, Liu H, Li Q, Yi X, Cheng Y, Guo L, Fan C, Zhou Y. Comparative transcriptomic analysis uncovers the complex genetic network for resistance to Sclerotinia sclerotiorum in Brassica napus. Sci Rep, 2016, 6: 19007
[15]Hoffman D D, Diers B W, Hartman G L, Nickell C D, Nelson R L, Pedersen W L, Cober E R, Graef G L, Steadman J R, Grau C R, Nelson B D, del Rio L E, Helms T, Anderson T, Poysa V, Rajcan I, Stienstra W C. Selected soybean plant introductions with partial resistance to Sclerotinia sclerotiorum. Plant Dis, 2002, 86: 971–980
[16]Kim H S, Diers B W. Inheritance of partial resistance to Sclerotinia stem rot in soybean. Crop Sci, 2000, 40: 55–61
[17]余叔文, 汤章城. 植物生理与分子生物学. 北京: 科学出版社, 2002. pp 770–781
Yu S W, Tang Z C. Plant Physiology and Molecular Biology. Beijing: Science Press, 2002. pp 770–781 (in Chinese)
[18]Boudet A M, Lapierre C, Grima-Pettenati J. Biochemistry and molecular biology of lignification. New Phytologist, 1995, 129: 203–236
[19]Nicholson R L, Hammerschmidt R. Phenolic compounds and their role in disease resistance. Annu Rev Phytopathol, 1992, 30: 369–389
[20]Vance C P, Kirk T K, Sherwood R T. Lignification as a mechanism of disease resistance. Annu Rev Phytopathol, 1980, 18: 259–288
[21]Dushnicky L G, Ballance G M, Sumner M J, MacGregor A W. The role of lignification as a resistance mechanism in wheat to a toxin-producing isolate of Pyrenophora tritici-repentis. Can J Plant Pathol, 1998, 20: 35–47
[22]Hammerschmidt R, Ku? J. Lignification as a mechanism for induced systemic resistance in cucumber. Physiol Plant Pathol, 1982, 20: 61–71
[23]Southerton S G, Deverall B J. Histochemical and chemical evidence for lignin accumulation during the expression of resistance to leaf rust fungi in wheat. Physiol Mol Plant P, 1990, 36: 483–494
[24]杨向东. 木质素合成调控及其与甘蓝型油菜抗菌核病和抗倒伏性关系研究. 华中农业大学博士学位论文, 湖北武汉, 2006. pp 28–30
Yang X D. The Study on Relationship between Lignin Biosynthesis Manipulation and Brassica napus’ Resistance to Sclerotinia sclerotiorum and Lodging. PhD Dissertation of Huazhong Agricultural University, Wuhan, China, 2006. pp 28–30 (in Chinese with English abstract)
[25]Gayoso C, Pomar F, Novo-Uzal E, Merino F, de Ilárduya ó M. The Ve-mediated resistance of the tomato to Verticillium dahliae involves H2O2, peroxidase and lignins and drives PAL gene expression. BMC Plant Biol, 2010, 10: 1
[26]Hammerschmidt R, Bonnen A M, Bergstrom G C, Baker K K. Association of epidermal lignification with nonhost resistance of cucurbits to fungi. Can J Bot, 1985, 63: 2393–2398
[27]Pomar F, Novo M, Bernal M A, Merino F, Barceló A R. Changes in stem lignins (monomer composition and crosslinking) and peroxidase are related with the maintenance of leaf photosynthetic integrity during Verticillium wilt in Capsicum annuum. New Phytol, 2004, 163: 111–123
[28]Barceló A R. Lignification in plant cell walls. Int Rev Cytol, 1997, 176: 87–132
[29]Snowdon R J, Wittkop B, Rezaidad A, Hasan M, Lipsa F, Stein A, Friedt W. Regional association analysis delineates a sequenced chromosome region influencing antinutritive seed meal compounds in oilseed rape. Genome, 2010, 53: 917–928
[30]Liu L, Stein A, Wittkop B, Sarvari P, Li J, Yan X, Dreyer F, Frauen M, Friedt W, Snowdon R J. A kockout mutation in the lignin biosynthesis gene CCR1 explains a major QTL for acid detergent lignin content in Brassica napus seeds. Theor Appl Genet, 2012, 124: 1573–1586
[31]曲存民, 付福友, 卢坤, 谢景梅, 刘晓兰, 黄杰恒, 李波, 王瑞, 谌利, 唐章林, 李加纳. 不同环境中甘蓝型油菜种皮木质素含量的QTL定位. 作物学报, 2011, 37: 1398–1405
Qu C M, Fu F Y, Lu K, Xie J M, Huang J H, Li B, Wang R, Chen L, Tang Z L, Li J N. Identification of QTLs for lignin content of seed coat in Brassica napus L. in different environments. Acta Agron Sin, 2011, 37: 1398–1405 (in Chinese with English abstract)
[32]Liu L Z, Qu C M, Wittkop B, Yi B, Xiao Y, He H Y, Snowdon R, Li J. A high-density SNP map for accurate mapping of seed fibre QTL in Brassica napus L. PloS One, 2013, 8: e83052
[33]Chen F, Dixon R A. Lignin modification improves fermentable sugar yields for biofuel production. Nat Biotechnol, 2007, 25: 759–761
[34]黄杰恒. 干旱胁迫下油菜抗倒伏相关性状动态变化及木质素关键基因表达特性分析. 西南大学博士学位论文, 重庆, 2013. pp 42–43
Huang J H. Lodging resistant traits and lignin related gene analysis in B. napus under drought stress. PhD Dissertation of Southwest University, Chongqing, China, 2013. pp 42–43 (in Chinese with English abstract)
[35]Eynck C, Séguin-Swartz G, Clarke W E, Parkin I A. Monolignol biosynthesis is associated with resistance to Sclerotinia sclerotiorum in Camelina sativa. Mol Plant Pathol, 2012, 13: 887–899
[36]Mccouch S R, Cho Y G, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T. Report on QTL nomenclature. Rice Genet Newsl, 1997, 14
[37]Li J, Zhao Z, Hayward A, Cheng H, Fu D. Integration analysis of quantitative trait loci for resistance to Sclerotinia sclerotiorum in Brassica napus. Euphytica, 2015, 205: 483–489
[38]Behla R S, Fernando W G D, Li G. Identification of quantitative trait loci for resistance against Sclerotinia stem rot in Brassica napus. Can J Plant Pathol, 2009, 31: 477–478
[39]Yin X R, Yi B, Chen W, Zhang W J, Tu J X, Fernando W G D, Fu T D. Mapping of QTLs detected in a Brassica napus DH population for resistance to Sclerotinia sclerotiorum in multiple environments. Euphytica, 2010, 173: 25–35
[40]Wei D, Mei J, Fu Y, Disi J O, Li J, Qian W. Quantitative trait loci analyses for resistance to Sclerotinia sclerotiorum and flowering time in Brassica napus. Mol Breed, 2014, 34: 1797–1804
[41]Tuberosa R, Salvi S, Sanguineti M C, Landi P, Maecaferri M, Conti S. Mapping QTLs regulating morpho-physiological traits and yield: case studies, shortcomings and perspectives in drought-stressed maize. Ann Bot, 2002, 89: 941–963

[1] HU Wen-Jing, LI Dong-Sheng, YI Xin, ZHANG Chun-Mei, ZHANG Yong. Molecular mapping and validation of quantitative trait loci for spike-related traits and plant height in wheat [J]. Acta Agronomica Sinica, 2022, 48(6): 1346-1356.
[2] YU Chun-Miao, ZHANG Yong, WANG Hao-Rang, YANG Xing-Yong, DONG Quan-Zhong, XUE Hong, ZHANG Ming-Ming, LI Wei-Wei, WANG Lei, HU Kai-Feng, GU Yong-Zhe, QIU Li-Juan. Construction of a high density genetic map between cultivated and semi-wild soybeans and identification of QTLs for plant height [J]. Acta Agronomica Sinica, 2022, 48(5): 1091-1102.
[3] HUANG Li, CHEN Yu-Ning, LUO Huai-Yong, ZHOU Xiao-Jing, LIU Nian, CHEN Wei-Gang, LEI Yong, LIAO Bo-Shou, JIANG Hui-Fang. Advances of QTL mapping for seed size related traits in peanut [J]. Acta Agronomica Sinica, 2022, 48(2): 280-291.
[4] ZHANG Yan-Bo, WANG Yuan, FENG Gan-Yu, DUAN Hui-Rong, LIU Hai-Ying. QTLs analysis of oil and three main fatty acid contents in cottonseeds [J]. Acta Agronomica Sinica, 2022, 48(2): 380-395.
[5] MENG Ying, XING Lei-Lei, CAO Xiao-Hong, GUO Guang-Yan, CHAI Jian-Fang, BEI Cai-Li. Cloning of Ta4CL1 and its function in promoting plant growth and lignin deposition in transgenic Arabidopsis plants [J]. Acta Agronomica Sinica, 2022, 48(1): 63-75.
[6] ZHANG Bo, PEI Rui-Qing, YANG Wei-Feng, ZHU Hai-Tao, LIU Gui-Fu, ZHANG Gui-Quan, WANG Shao-Kui. Mapping and identification QTLs controlling grain size in rice (Oryza sativa L.) by using single segment substitution lines derived from IAPAR9 [J]. Acta Agronomica Sinica, 2021, 47(8): 1472-1480.
[7] LUO Lan, LEI Li-Xia, LIU Jin, ZHANG Rui-Hua, JIN Gui-Xiu, CUI Di, LI Mao-Mao, MA Xiao-Ding, ZHAO Zheng-Wu, HAN Long-Zhi. Mapping QTLs for yield-related traits using chromosome segment substitution lines of Dongxiang common wild rice (Oryza rufipogon Griff.) and Nipponbare (Oryza sativa L.) [J]. Acta Agronomica Sinica, 2021, 47(7): 1391-1401.
[8] HAN Yu-Zhou, ZHANG Yong, YANG Yang, GU Zheng-Zhong, WU Ke, XIE Quan, KONG Zhong-Xin, JIA Hai-Yan, MA Zheng-Qiang. Effect evaluation of QTL Qph.nau-5B controlling plant height in wheat [J]. Acta Agronomica Sinica, 2021, 47(6): 1188-1196.
[9] WANG Wu-Bin, TONG Fei, KHAN Mueen-Alam, ZHANG Ya-Xuan, HE Jian-Bo, HAO Xiao-Shuai, XING Guang-Nan, ZHAO Tuan-Jie, GAI Jun-Yi. Detecting QTL system of root hydraulic stress tolerance index at seedling stage in soybean [J]. Acta Agronomica Sinica, 2021, 47(5): 847-859.
[10] ZHOU Xin-Tong, GUO Qing-Qing, CHEN Xue, LI Jia-Na, WANG Rui. Construction of a high-density genetic map using genotyping by sequencing (GBS) for quantitative trait loci (QTL) analysis of pink petal trait in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(4): 587-598.
[11] LI Shu-Yu, HUANG Yang, XIONG Jie, DING Ge, CHEN Lun-Lin, SONG Lai-Qiang. QTL mapping and candidate genes screening of earliness traits in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(4): 626-637.
[12] SHEN Wen-Qiang, ZHAO Bing-Bing, YU Guo-Ling, LI Feng-Fei, ZHU Xiao-Yan, MA Fu-Ying, LI Yun-Feng, HE Guang-Hua, ZHAO Fang-Ming. Identification of an excellent rice chromosome segment substitution line Z746 and QTL mapping and verification of important agronomic traits [J]. Acta Agronomica Sinica, 2021, 47(3): 451-461.
[13] MENG Jiang-Yu, LIANG Guang-Wei, HE Ya-Jun, QIAN Wei. QTL mapping of salt and drought tolerance related traits in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(3): 462-471.
[14] WANG Rui-Li, WANG Liu-Yan, LEI Wei, WU Jia-Yi, SHI Hong-Song, LI Chen-Yang, TANG Zhang-Lin, LI Jia-Na, ZHOU Qing-Yuan, CUI Cui. Screening candidate genes related to aluminum toxicity stress at germination stage via RNA-seq and QTL mapping in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(12): 2407-2422.
[15] LYU Guo-Feng, BIE Tong-De, WANG Hui, ZHAO Ren-Hui, FAN Jin-Ping, ZHANG Bo-Qiao, WU Su-Lan, WANG Ling, WANG Zun-Jie, GAO De-Rong. Evaluation and molecular detection of three major diseases resistance of new bred wheat varieties (lines) from the lower reaches of the Yangtze River [J]. Acta Agronomica Sinica, 2021, 47(12): 2335-2347.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!