粳稻种质资源籽粒锌、铁含量与SSR标记的关联分析
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摘要
选用57对均匀分布在水稻全基因组的SSR标记对155份粳稻种质资源进行检测,研究粳稻籽粒锌、铁含量与SSR标记的关联性,以期为改良水稻籽粒营养品质的优异亲本的选择、组配提供理论支持和材料保障。结果表明,锌含量与铁含量呈极显著正相关;在57个SSR标记位点中,共检测到257个等位基因,平均每个位点检测到4.51个等位基因,平均有效等位基因数为2.60个,Nei's遗传多样性指数和Shannon's信息指数的平均值分别为0.539 5和1.023 8。通过关联分析发现,与籽粒锌含量显著关联的位点有3个,分别为RM5461-4、RM5647-2、RM7356-1,表型贡献率分别为7.59%、5.89%、4.72%,增加表型效应最大的等位变异是RM5647-2,载体品种为长粒-5;与籽粒铁含量显著关联的位点有20个,表型贡献率介于2.56%～7.33%,表型贡献率最高的等位变异是RM3600-1,增加表型效应最大的等位变异是I2-3,载体品种是粮香5号。
Fifty-seven pairs of simple sequence repeat(SSR) markers which were uniformly distributed throughout rice genome were used to detect 155 japonica rice germplasm resources,and the relevances between SSR markers and zinc,iron contents of grains of japonica rice were studied,so as to provide theoretical foundation and materials for the selection,combination of excellent parents with excellent nutrient quality.The results showed that there was significantly positive correlation between zinc content and iron content.A total of 257 alleles were identified at all of 57 SSR markers loci,with an average of 4.51 alleles per marker locus and 2.60 effective alleles.The average values of Nei's genetic diversity index and Shannon's information index of 57 SSR markers were 0.539 5 and 1.023 8 respectively.Three sites had significant correlation with the rice grain zinc content,which were RM5461-4,RM5647-2 and RM7356-1 respectively,whose phenotypic contribution rate were 7.59%,5.89% and 4.72%,respectively,the allele RM5647-2 had the highest positive phenotypic effect,and the carrier variety was Changli-5;20 sites were significantly associated with rice grain iron content,whose phenotypic contribution rates were 2.56%—7.33%,the highest phenotypic contribution rate was from the allelic variation RM3600-1,I2-3 had the highest positive phenotypic effect,and the carrier variety was Liangxiang No.5.
Fifty-seven pairs of simple sequence repeat(SSR) markers which were uniformly distributed throughout rice genome were used to detect 155 japonica rice germplasm resources,and the relevances between SSR markers and zinc,iron contents of grains of japonica rice were studied,so as to provide theoretical foundation and materials for the selection,combination of excellent parents with excellent nutrient quality.The results showed that there was significantly positive correlation between zinc content and iron content.A total of 257 alleles were identified at all of 57 SSR markers loci,with an average of 4.51 alleles per marker locus and 2.60 effective alleles.The average values of Nei's genetic diversity index and Shannon's information index of 57 SSR markers were 0.539 5 and 1.023 8 respectively.Three sites had significant correlation with the rice grain zinc content,which were RM5461-4,RM5647-2 and RM7356-1 respectively,whose phenotypic contribution rate were 7.59%,5.89% and 4.72%,respectively,the allele RM5647-2 had the highest positive phenotypic effect,and the carrier variety was Changli-5;20 sites were significantly associated with rice grain iron content,whose phenotypic contribution rates were 2.56%—7.33%,the highest phenotypic contribution rate was from the allelic variation RM3600-1,I2-3 had the highest positive phenotypic effect,and the carrier variety was Liangxiang No.5.
引文
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[34] 黄莹莹,邹德堂,王敬国,等.水稻籽粒锰、铁、锌、铜含量的QTL定位分析[J].作物杂志,2012(6):77-81.
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[36] 崔文刚.稻米微量元素含量的遗传研究[D].武汉:华中农业大学,2008.
[37] 孙明茂.水稻籽粒铁、硒、锌、铜等矿质元素和花色苷含量的遗传及QTL分析[D].泰安:山东农业大学,2006.
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[40] 徐云碧,申宗坦,朱立煌,等.水稻形态性状与分子标记的相互关联及其检测[J].浙江农业学报,1994,6(1):2-7.
[41] 鲁秀梅,张宁,陈劲枫,等.作物基因聚合育种的研究进展[J].分子植物育种,2017,15(4):1445-1454.
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[43] 赵天龙,范玉龙,王艺洁,等.白叶枯病抗病基因Xa21与Xa23的聚合育种研究[J].分子植物育种,2015,13(3):513-517.
[44] 陈宗祥,左示敏,张亚芳,等.水稻抗纹枯病QTL qSB-9TQ和抗条纹叶枯病基因Stv-bi的聚合育种[J].作物学报,2012,38(7):1178-1186.
[45] 马文清,裴庆利,梁云涛,等.聚合抗稻瘟病基因Pi9和抗褐飞虱基因Bph18 (t)选育水稻恢复系[J].分子植物育种,2014,12(6):1082-1088.
[46] 张光恒,曾大力,郭龙彪,等.葡萄糖焦磷酸酶基因与巨胚基因聚合创制营养功能稻[J].中国水稻科学,2007,21(6):567-572.
[47] 陈涛,吴昊,张亚东,等.聚合Stv-bi和Wx-mq基因改良武育粳3号条纹叶枯病抗性和食味品质[J].中国水稻科学,2015,29(5):467-474.
[2] WHITE P J,BROADLEY M R.Biofortifying crops with essential mineral elements[J].Trends in Plant Science,2005,10(12):586-593.
[3] BHULLAR N K,GRUISSEM W.Nutritional enhancement of rice for human health:The contribution of biotechnology[J].Biotechnology Advances,2013,31(1):50-57.
[4] 文自翔,赵团结,郑永战,等.中国栽培和野生大豆农艺及品质性状与SSR标记的关联分析Ⅱ.优异等位变异的发掘[J].作物学报,2008,34(8):1339-1349.
[5] 陈秀辰,杨旭,成玉富,等.数量性状关联分析及其在蔬菜中的应用[J].中国蔬菜,2012(16):1-9.
[6] 方俐.基于SSR标记的豌豆遗传连锁图谱加密及抗冻基因关联分析[D].北京:中国农业科学院,2016.
[7] 孙程明.甘蓝型油菜分枝角度和株高全基因组关联分析[D].武汉:华中农业大学,2018.
[8] 牛早柱.葡萄果实香气及糖酸物质的SSR标记关联分析[D].沈阳:沈阳农业大学,2016.
[9] 赵红.我国辣椒核心种质评价及其主要园艺性状的全基因组关联分析[D].北京:中国农业科学院,2018.
[10] 施婷婷,张默,吴楠,等.玉米苗期抗旱性的全基因组关联分析[J].玉米科学,2018,26(5):44-48.
[11] 苗百更,李佳美,马文东,等.寒地水稻直链淀粉含量关联分析[J].分子植物育种,2018,16(8):2511-2518.
[12] 杨行海,农保选,夏秀忠,等.水稻糯性相关基因的全基因组关联分析[J].植物学报,2016,51(6):737-742.
[13] 刘明浩.国际水稻种质资源抗稻瘟病全基因组关联分析[D].长沙:湖南农业大学,2017.
[14] 秦芳芳,刘远铭,王洋.粳稻育成品种种子耐贮性的SSR关联分析[J].中国农学通报,2018,34(5):5-11.
[15] 陈氏秋江,党小景,刘强明,等.水稻籽粒性状的SSR关联分析[J].中国水稻科学,2014,28(3):243-257.
[16] 黄炎.水稻糙米若干矿质元素含量关联分析[D].杭州:浙江大学,2016.
[17] 沈希宏,曹立勇,邵国胜,等.水稻籽粒中5种微量元素含量的QTL定位[J].分子植物育种,2008,6(6):1061-1067.
[18] 刘杰.稻米中8种矿质元素含量的QTL定位[D].北京:中国农业科学院,2010.
[19] 张得雯.富锌水稻种质资源筛选及籽粒锌含量的遗传分析和QTL定位[D].银川:宁夏大学,2015.
[20] 胡标林,黄得润,肖叶青,等.应用东乡野生稻回交重组自交系群体分析糙米矿质含量QTL[J].中国水稻科学,2018,32(1):43-50.
[21] 刘三铭.谷物及油料品质化学分析[M].北京:农业出版社,1987:16-17.
[22] 罗天宽,张小玲,朱世杨,等.应用水稻叶片直接PCR扩增的方法[J].分子植物育种,2015,13(11):2590-2592.
[23] 高东,杜飞,朱有勇.低背景、高分辨率PAGE简易银染法[J].遗传,2009,31(6):668-672.
[24] 马翠苹,周先容,尚进,等.四川花萼山不同海拔巴山榧树居群的遗传多样性[J].分子植物育种,2018,16(19):6517-6524.
[25] 张立娜,曹桂兰,韩龙植.利用SSR标记揭示中国粳稻地方品种遗传多样性[J].中国农业科学,2012,45(3):405-413.
[26] 李婉琳,宋洁,郭文,等.马铃薯主要农艺性状的SSR标记关联分析[J].分子植物育种,2016,14(11):3102-3112.
[27] 陈惠清,黄荣裕,王天生,等.水稻种质资源的籼粳分类及遗传多样性分析[J].杂交水稻,2014,29(6):62-67.
[28] 林春雨,梁晓宇,马淑梅,等.亚洲不同生态区水稻群体遗传多样性与特异性分析[J].中国农学通报,2018,34(14):1-5.
[29] 伍豪,刘百龙,王威豪,等.广西生产上主要应用的三系杂交稻不育系遗传多样性分析[J].南方农业学报,2015,46(4):550-554.
[30] 张晓丽,吕荣华,唐茂艳,等.东南亚国家引进水稻种质的遗传多样性和遗传结构分析[J].植物遗传资源学报,2018,19(1):29-38.
[31] 汤翠凤,张恩来,董超,等.云南新收集水稻地方品种的表型多样性分析[J].植物遗传资源学报,2018,19(6):1106-1116.
[32] 张科,魏海锋,卓大龙,等.黑龙江省近年审定水稻品种基于SSR标记的遗传多样性分析[J].植物遗传资源学报,2016,17(3):447-454.
[33] GYAWALI S,OTTE M L,CHAO S,et al.Genome wide association studies(GWAS) of element contents in grain with a special focus on zinc and iron in a world collection of barley(Hordeum vulgare L.)[J].Journal of Cereal Science,2017,77:266-274.
[34] 黄莹莹,邹德堂,王敬国,等.水稻籽粒锰、铁、锌、铜含量的QTL定位分析[J].作物杂志,2012(6):77-81.
[35] ANURADHA K,AGARWAL S,RAO Y V,et al.Mapping QTLs and candidate genes for iron and zinc concentrations in unpolished rice of Madhukar×Swarna RILs[J].Gene,2012,508(2):233-240.
[36] 崔文刚.稻米微量元素含量的遗传研究[D].武汉:华中农业大学,2008.
[37] 孙明茂.水稻籽粒铁、硒、锌、铜等矿质元素和花色苷含量的遗传及QTL分析[D].泰安:山东农业大学,2006.
[38] 王辉.富铁水稻种质资源筛选及籽粒铁含量遗传分析和QTL定位[D].银川:宁夏大学,2014.
[39] 李伟忠.玉米自交系遗传多样性与表型性状关联分析及分子ID构建[D].哈尔滨:东北农业大学,2011.
[40] 徐云碧,申宗坦,朱立煌,等.水稻形态性状与分子标记的相互关联及其检测[J].浙江农业学报,1994,6(1):2-7.
[41] 鲁秀梅,张宁,陈劲枫,等.作物基因聚合育种的研究进展[J].分子植物育种,2017,15(4):1445-1454.
[42] PRADHAN S K,NAYAK D K,MOHANTY S,et al.Pyramiding of three bacterial blight resistance genes for broad-spectrum resistance in deepwater rice variety,Jalmagna[J].Rice,2015,8(1):1-14.
[43] 赵天龙,范玉龙,王艺洁,等.白叶枯病抗病基因Xa21与Xa23的聚合育种研究[J].分子植物育种,2015,13(3):513-517.
[44] 陈宗祥,左示敏,张亚芳,等.水稻抗纹枯病QTL qSB-9TQ和抗条纹叶枯病基因Stv-bi的聚合育种[J].作物学报,2012,38(7):1178-1186.
[45] 马文清,裴庆利,梁云涛,等.聚合抗稻瘟病基因Pi9和抗褐飞虱基因Bph18 (t)选育水稻恢复系[J].分子植物育种,2014,12(6):1082-1088.
[46] 张光恒,曾大力,郭龙彪,等.葡萄糖焦磷酸酶基因与巨胚基因聚合创制营养功能稻[J].中国水稻科学,2007,21(6):567-572.
[47] 陈涛,吴昊,张亚东,等.聚合Stv-bi和Wx-mq基因改良武育粳3号条纹叶枯病抗性和食味品质[J].中国水稻科学,2015,29(5):467-474.