基于4个测交群体玉米籽粒品质相关性状关联分析
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摘要
玉米(Zea mays)生产上利用的是杂交种,利用不同遗传背景的测交群体来定位杂种当代控制品质性状的遗传位点,是对前人定位研究的有益补充。本实验以100份遗传背景丰富的玉米骨干自交系作为母本,分别以Mo17、E28、昌7-2、郑58作为测验种,按照NCⅡ设计,组配400份杂交组合,构建4个F1群体,每个F1群体各100份杂交组合。对4个测交群体的籽粒品质相关性状进行统计分析和全基因组关联分析(genome-wide association study, GWAS)。研究结果表明,蛋白质含量在E28和昌7-2测交群体显著高于其他群体(P<0.05);油分含量在E28测交群体显著高于其他群体(P<0.05);赖氨酸含量在Mo17测交群体显著高于其他群体(P<0.05)。Mo17测交群体在蛋白质含量、油分含量、赖氨酸含量中分别定位到2、5、17个显著关联的SNP位点,E28测交群体在蛋白质含量、油分含量、赖氨酸含量中分别定位到11、7、54个SNP位点,昌7-2测交群体在蛋白质含量、油分含量、赖氨酸含量中分别定位到8、8、6个SNP位点,郑58测交群体在蛋白质含量、油分含量、赖氨酸含量中分别定位到38、79、11个SNP位点。4个测交群体的定位结果差异很大,对4个测交群体的同一性状SNP位点进行比较,仅得到7个共位点。分别在蛋白质含量、油分含量、赖氨酸含量中定位到2、4、1个共位点,共挖掘到6个候选基因。本研究结果为玉米品质相关性状的传统连锁分析和关联分析提供了有益补充,为进一步玉米籽粒品质改良提供了参考。
Hybrids are used in maize(Zea mays) production. Based on natural populations, recombination inbred line(RIL), doubled haploid(DH), F2, backcrossing(BC) and other traditional loci or regions can only reflect the contemporary genetic effects of F1 indirectly. The genetic effects of F1 could be studied directly by locating the genetic loci or regions of hybrids that control the target traits. In this study, 100 maize inbred lines with rich genetic background were used as female parents, and four lines, Mo17, E28, Zheng58, and Chang7-2 were used as test parents. According to the NC Ⅱ experiment, 400 hybrids(100 females × 4 males) were constructed. Statistical analysis and genome-wide association study(GWAS) of grain quality-related traits,protein(Pro) content, oil content, and lysine(Lys) content, in 4 test cross populations were performed. The kernel quality traits were significant differences in F1, because of the influence of 4 different genetic background test parents. The results showed that the Pro content in the test cross populations with pollens from E28(E28 s) and Chang7-2(Chang7-2 s) was significantly higher than other populations(P<0.05); the oil content in the test cross population with pollens from E28 was significantly higher than other populations(P<0.05); Lys content in the test cross population with pollens from Mo17(Mo17 s) was significantly higher than other populations(P<0.05). For Pro, Oil, and Lys, 2, 5, and 17 significantly associated SNPs were detected in Mo17 s, respectively. The phenotype variation range that can be explained by a single locus was 1.99%～21.83%, 1.15%～16.83%, 1.48%～29.91%. And in populations of E28 s, Chang7-2 s, and Zheng58 s, the correspondingly detected SNP loci associated Pro/Oil/Lys were 11/7/54, 8/8/6, and 38/79/11, respectively. The phenotype variation range that can be explained by a single locus was 1.15%～38.60%/4.01%～26.35%/0.25%～46.10%, 7.32%～34.63%/1.25%～8.08%/2.53%～18.64% and 1.07%～61.14%/1.00%～31.04%/1.02%～21.15%,respectively. The total shared SNPs detected for Pro, Oil, and Lys were 7, 2 for Pro, 4 for Oil, and 1 for Lys.The phenotype variation range that could be explained by a single locus was 0.12%～2.51%, 3.18%～11.59%,0.25%～14.63%. These 7 SNPs were located on the Chr1, Chr4, Chr5, Chr6, Chr9, Chr10 and donated 6 candidate genes. The candidate genes were GRMZM2 G143817, GRMZM2 G446313, GRMZM2 G146346,GRMZM2 G104920, GRMZM2 G083886, GRMZM2 G148400, respectively. These results provided informative references for loci mining associated with maize kernel quality-related traits via QTL mapping or GWAS pathways, and also provided practical references for kernel quality improvement in maize breeding procedures.
Hybrids are used in maize(Zea mays) production. Based on natural populations, recombination inbred line(RIL), doubled haploid(DH), F2, backcrossing(BC) and other traditional loci or regions can only reflect the contemporary genetic effects of F1 indirectly. The genetic effects of F1 could be studied directly by locating the genetic loci or regions of hybrids that control the target traits. In this study, 100 maize inbred lines with rich genetic background were used as female parents, and four lines, Mo17, E28, Zheng58, and Chang7-2 were used as test parents. According to the NC Ⅱ experiment, 400 hybrids(100 females × 4 males) were constructed. Statistical analysis and genome-wide association study(GWAS) of grain quality-related traits,protein(Pro) content, oil content, and lysine(Lys) content, in 4 test cross populations were performed. The kernel quality traits were significant differences in F1, because of the influence of 4 different genetic background test parents. The results showed that the Pro content in the test cross populations with pollens from E28(E28 s) and Chang7-2(Chang7-2 s) was significantly higher than other populations(P<0.05); the oil content in the test cross population with pollens from E28 was significantly higher than other populations(P<0.05); Lys content in the test cross population with pollens from Mo17(Mo17 s) was significantly higher than other populations(P<0.05). For Pro, Oil, and Lys, 2, 5, and 17 significantly associated SNPs were detected in Mo17 s, respectively. The phenotype variation range that can be explained by a single locus was 1.99%～21.83%, 1.15%～16.83%, 1.48%～29.91%. And in populations of E28 s, Chang7-2 s, and Zheng58 s, the correspondingly detected SNP loci associated Pro/Oil/Lys were 11/7/54, 8/8/6, and 38/79/11, respectively. The phenotype variation range that can be explained by a single locus was 1.15%～38.60%/4.01%～26.35%/0.25%～46.10%, 7.32%～34.63%/1.25%～8.08%/2.53%～18.64% and 1.07%～61.14%/1.00%～31.04%/1.02%～21.15%,respectively. The total shared SNPs detected for Pro, Oil, and Lys were 7, 2 for Pro, 4 for Oil, and 1 for Lys.The phenotype variation range that could be explained by a single locus was 0.12%～2.51%, 3.18%～11.59%,0.25%～14.63%. These 7 SNPs were located on the Chr1, Chr4, Chr5, Chr6, Chr9, Chr10 and donated 6 candidate genes. The candidate genes were GRMZM2 G143817, GRMZM2 G446313, GRMZM2 G146346,GRMZM2 G104920, GRMZM2 G083886, GRMZM2 G148400, respectively. These results provided informative references for loci mining associated with maize kernel quality-related traits via QTL mapping or GWAS pathways, and also provided practical references for kernel quality improvement in maize breeding procedures.
引文
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冯建英,温阳俊,张瑾,等.2016.植物关联分析方法的研究进展[J].作物学报,42(7):945-956.(Feng J Y,Wen Y J,Zhang J,et al.2016.Advances on methodologies for genome-wide association studies in plants[J].Acta Agronomica Sinica,42(7):945-956.)
杜宇茜,杨莎,祝丽英,等.2018.两种密度条件下玉米雄穗分枝数全基因组关联分析[J].分子植物育种,16(18):5970-5977.(Du Y Q,Yang S,Zhu L Y,et al.2018.Genome-wide association analysis of tassel branch number under high and low plant densities in maize(Zea mays L.)[J].Molecular Plant Breeding,16(18):5970-5977.)
关红辉,刘文斯,郭晋杰,等.2018.不同杂种优势群玉米茎秆纤维品质及配合力分析[J].植物遗传资源学报,(5):925-936.(Guan H H,Liu W S,Guo J J,et al.2018.Analysis of stalk fiber quality and combining ability in different maize heterotic groups[J].Journal of Plant Genetic Resources,(5):925-936.)
姜敏,刘祥久,刘静,等.2004.不同优势群玉米自交系的组配模式[J].辽宁农业科学,(5):22-24.(Jiang M,Liu XJ,Liu J,et al.2004.The combination model of different inbred lines of maize inbred lines[J].Liaoning Agricultural Sciences,(5):22-24)
赖国荣,张静,刘函,等.2017.基于GBS构建玉米高密度遗传图谱及营养品质性状QTL定位[J].农业生物技术学报,25(9):1400-1410.(Lai G R,Zhang J,Liu H,et al.2017.Construction of high density genetic map via GBS technology and QTL mapping for nutritional quality traits in maize(Zea mays)[J].Journal of Agricultural Biotechnology,25(9):1400-1410.)
赖国荣.2017.基于GBS的玉米基因型分析及高密度遗传图谱构建[D].硕士学位论文,河北农业大学,导师:陈景堂.pp.16-40.(Lai G R.2017.Genotype analysis using GBS technology and high density genetic map construction in maize[D].Thesis for M.S.,Hebei Agricultural University,Supervisor:Chen J T,pp.16-40.)
李福军.2018.玉米品质育种研究[J].河南农业,(17):26-27.(Li F Y.2018.Study on Maize quality breeding[J].Henan Nongye,(17):26-27.)
李来玲,李凤海,史振声,等.2014.玉米自交系昌7-2同型系配合力分析及应用评价[J].玉米科学,22(6):16-20.(Li L L,Li F H,Shi Z S,et al.2014.Combining ability and applied evaluation of Chang7-2 corn inbred lines and the same type[J].Journal of Maize Sciences,22(6):16-20.)
刘志斋,吴迅,刘海利,等.2012.基于40个核心SSR标记揭示的820份中国玉米重要自交系的遗传多样性与群体结构[J].中国农业科学,45(11):2107-2138.(Liu Z Z,Wu X,Liu H L,et al.2012.Genetic diversity and population structure of important Chinese maize inbred lines revealed by 40 core simple sequence repeats(SSRs)[J].Scientia Agricultura Sinica,45(11):2107-2138.)
刘宗华,刘义宝,李浩川,等.2010.玉米籽粒赖氨酸含量的配合力效应及杂种优势分析[J].东北农业大学学报,41(4):1-6.(Liu Z H,Liu Y B,Li H C,et al.2010.Analysis of combining ability and heterosis on lysine content in maize kernels over environments[J].Journal of Northeast Agricultural University,41(4):1-6.)
鲁宝良,赵文媛,刘日尊,等.2004.Mo17衍生系组配杂交种对我国玉米生产的影响和贡献[J].玉米科学,(S1):127-128.(Lu B L,Zhao W Y,Liu R Z,et al.2004.The influence and contribution of the hybrids crossed by Mo17 deriving self inbred lines to the production of China[J].Journal of Maize Sciences,(S1):127-128.)
石武良,张蜀秋.2004.高等植物体内酪氨酸蛋白磷酸酶及其功能[J].植物生理学报,40(4):495-499.(Shi W L,Zhang S Q.2004.Protein tyrosine phosphatases and its function in higher plants[J].Plant Physiology Journal,40(4):495-499.)
王延召.2007.玉米籽粒品质性状QTL定位及其遗传相关研究[D].博士学位论文,河南农业大学,导师:李玉玲.pp.23-29.(Wang Y Z.2007.QTL mapping for kernel nutritional quality characters and their genetic relationship in maize[D].Thesis for M.S.,Henan Agriculture University,Supervisor:Li Y L.pp.23-29.)
杨书成,杨振兴,宋景楠.2011.“十一五”我国普通玉米品质现状与分析[J].农业科技通讯,(8):5-7.(Yang S C,Yang Z X,Song J N,et al.2001.The present situation and analysis of the quality of common maize in China during the eleventh five-year plan[J].Bulletin of Agricultural Science and Technology,(08):5-7)
王晖.2017.玉米全基因组关联分析多杂种群体的构建及其杂种优势和配合力的遗传分析[D].博士学位论文,中国农业科学院,导师:徐云碧,pp.16-18.(Wang H.2017.Development of a maize multiple-hybrid population for genome-wide association studies and geneticanalysis of heterosis and combining ability[D].Thesis for M.S.,Chinese Academy of Agricultural Sciences,Supervisor:Xu Y B,pp.16-18.)
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