蓖麻枯萎病抗性的QTL定位分析
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摘要
本研究用YC2×YF1抗、感组合的F2群体在两个环境中对蓖麻枯萎病抗性进行了QTL定位。遗传分析表明,群体中枯萎病抗性呈连续性偏态分布,后代表型偏抗性亲本。2014年检测到5个QTL,解释了总变异的18. 21%,单位点贡献率为0. 05%～12. 32%。2015年分别在出苗后20d、30d、40d、现蕾期和乳熟期进行了动态定位,分别检测出4、12、13、4和1个QTL,单位点贡献率为1. 64%～21. 91%,5个发育时期检出的QTL主要集中在第3、4和8连锁群上。有1个QTL在4个时期、3个QTL在3个时期、6个QTL在2个时期被重复检测到。在第8连锁群上一个QTL在两个环境同一时期被重复检测到。以上结果可为蓖麻抗枯萎病分子标记辅助选择提供参考。
In this study,the QTLs conferring the resistance to Fusarium wilt were mapped with the F2 populations derived from YC2 × YF1 resistant and susceptible combination under 2 environments in castor. Genetic analysis presented a continuous skewness distribution in populations,tending to resistant parent. 5 QTLs were identified in 2014,explained 18. 21% of phenotype variation,with a single locus contribution rate of 0. 05%-12. 32%.Dynamic mapping was performed at 5 stages including 20 d,30 d,40 d after seedling,squaring stage and milk ripening period in 2015,and 4,12,13,4 and 1 QTLs were detected respectively,with a single locus contribution rate of 1. 64%-21. 91%. 1,3 and 6 QTLs were identified simultaneously at 4,3 and 2 stages respectively. The detected QTLs at these 5 stages were mainly concentrated on linkage group 3,4 and 8. One QTL located on linkage group 8 was detected simultaneously in both environments at the same stage. The above results could facilitate the molecular marker assisted selection of Fusarium wilt resistance in castor.
In this study,the QTLs conferring the resistance to Fusarium wilt were mapped with the F2 populations derived from YC2 × YF1 resistant and susceptible combination under 2 environments in castor. Genetic analysis presented a continuous skewness distribution in populations,tending to resistant parent. 5 QTLs were identified in 2014,explained 18. 21% of phenotype variation,with a single locus contribution rate of 0. 05%-12. 32%.Dynamic mapping was performed at 5 stages including 20 d,30 d,40 d after seedling,squaring stage and milk ripening period in 2015,and 4,12,13,4 and 1 QTLs were detected respectively,with a single locus contribution rate of 1. 64%-21. 91%. 1,3 and 6 QTLs were identified simultaneously at 4,3 and 2 stages respectively. The detected QTLs at these 5 stages were mainly concentrated on linkage group 3,4 and 8. One QTL located on linkage group 8 was detected simultaneously in both environments at the same stage. The above results could facilitate the molecular marker assisted selection of Fusarium wilt resistance in castor.
引文
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[15] Sun D,Li W,Zhang Z,et al. Quantitative trait loci a-nalysis for the developmental behavior of Soybean(Gly-cine max L. Merr.)[J]. Theor Appl Genet,2006,112(4):665-673.
[16]刘伟,冷廷瑞,张云万,等.蓖麻枯萎病研究初探[J].吉林农业科学,2009,34(1):27-28.
[17] Murray M G,Thompson W F. Rapid isolation of highmolecular weight plant DNA[J]. Nucl Acids Res,1980,8(19):4 321-4 325.
[18] Meng L,Li H,Zhang L,et al. QTL Ici Mapping:Inte-grated software for genetic linkage map construction andquantitative trait locus mapping in biparental populations[J]. Crop J,2015,3(3):269-283.
[19]雷雅坤,刘兵强,邸锐,等.大豆不同环境下脂肪酸组分含量的QTL分析[J].作物学报,2016,42(2):303-310.
[20]梅丽,程须珍,王素华,等.绿豆产量相关农艺性状的QTL定位[J].植物遗传资源学报,2011,12(6):948-956.
[21] Zhuang J Y,Lin H X,Lu J,et al. Analysis of QTL×environment interaction for yield components and plantheight in rice[J]. Theor Appl Genet,1997,95(5-6):799-808.
[22] Atchley W R,Zhu J,Zhu J. Developmental quantitativegenetics,conditional epigenetic variability and growth inmice[J]. Genetics,1997,147(2):765-776.
[23]韩英鹏,滕卫丽,杜玉萍,等.不同发育时期大豆籽粒干物质积累的QTL动态分析[J].中国农业科学,2010,43(7):1 328-1 338.
[2] Anjani K. Pattern of genetic diversity among Fusariumwilt resistant castor germplasm accessions(Ricinus com-munis L.)[J]. Electronic Plant Breeding,2010,1(2):182-187.
[3] Kumar M V N,Shankar V G,Ramya V,et al. Enhancingcastor(Ricinus communis L.)productivity through genet-ic improvement for Fusarium wilt resistance-a review[J]. Ind Crops Prod,2015,67:330-335.
[4] Shankar V G,Rao P V R,Reddy A V. Inheritance ofcertain morphological characters and Fusarium wilt resist-ance in castor,Ricinus communis L.[J]. Sabrao J Breed-ing Genetics,2010,42(2):57-64.
[5] Kammili A,Raoof M A. Analysis of mode of inheritanceof Fusarium wilt resistance in castor(Ricinus communisL.)[J]. Plant Breeding,2013,133(1):101-107.
[6] Lavanya C,Raoof M A,Prasad M S L. Genetics of re-sistance to Fusarium wilt in castor caused by Fusariumoxysporumf. sp. ricini.[J]. Ind Phytopathol,2011,64(2):151-153.
[7] Patel P B,Pathak H C. Genetics of resistance to wilt incastor caused by Fusarium oxysporum f. sp. ricini Nandaand Prasad.[J]. Agr Sci Digest,2011,31(1):30-34.
[8] Singh M. Development of RAPD markers linked to Fusar-ium wilt resistance gene in castor bean(Ricinus communisL.).[J]. Genet Eng Biotechnol J,2011,28(57):1-10.
[9] Reddy N R,Sujatha M,Reddy A V,et al. Inheritanceand molecular mapping of wilt resistance gene(s)in cas-tor(Ricinus communis L.)[J]. Int J Plant Breeding,2011,5(2):84-87.
[10] Tomar R S,Parakhia M V,Thakkar J R,et al. Devel-opment of linkage map and identification of QTLs re-sponsible for Fusarium wilt resistance in castor(Ricinuscommunis L.)[J]. Res J Biotechnol,2016,10(5):67-73.
[11]戴高兴,邓国富,张迎信,等.作物动态QTL研究进展[J].中国稻米,2012,18(4):22-25.
[12] Yan J Q,Zhu J,He C X,et al. Quantitative trait locianalysis for the developmental behavior of tiller numberin rice(Oryza sativa L.)[J]. Theor Appl Genet,1998,97(1-2):267-274.
[13] Cao G Q,Zhu J,Conditional genetic analysis on quanti-tative trait loci for yield and its components in rice[J].Life Sci,2006,4(1):71-76.
[14]严建兵,汤华,黄益勤,等.不同发育时期玉米株高QTL的动态分析[J].科学通报,2003,48(18):1 959-1 964.
[15] Sun D,Li W,Zhang Z,et al. Quantitative trait loci a-nalysis for the developmental behavior of Soybean(Gly-cine max L. Merr.)[J]. Theor Appl Genet,2006,112(4):665-673.
[16]刘伟,冷廷瑞,张云万,等.蓖麻枯萎病研究初探[J].吉林农业科学,2009,34(1):27-28.
[17] Murray M G,Thompson W F. Rapid isolation of highmolecular weight plant DNA[J]. Nucl Acids Res,1980,8(19):4 321-4 325.
[18] Meng L,Li H,Zhang L,et al. QTL Ici Mapping:Inte-grated software for genetic linkage map construction andquantitative trait locus mapping in biparental populations[J]. Crop J,2015,3(3):269-283.
[19]雷雅坤,刘兵强,邸锐,等.大豆不同环境下脂肪酸组分含量的QTL分析[J].作物学报,2016,42(2):303-310.
[20]梅丽,程须珍,王素华,等.绿豆产量相关农艺性状的QTL定位[J].植物遗传资源学报,2011,12(6):948-956.
[21] Zhuang J Y,Lin H X,Lu J,et al. Analysis of QTL×environment interaction for yield components and plantheight in rice[J]. Theor Appl Genet,1997,95(5-6):799-808.
[22] Atchley W R,Zhu J,Zhu J. Developmental quantitativegenetics,conditional epigenetic variability and growth inmice[J]. Genetics,1997,147(2):765-776.
[23]韩英鹏,滕卫丽,杜玉萍,等.不同发育时期大豆籽粒干物质积累的QTL动态分析[J].中国农业科学,2010,43(7):1 328-1 338.