高低种植密度下玉米茎粗的QTL鉴定

doi:10.7668/hbnxb.20192281

摘要/Abstract

摘要： 为挖掘不同种植密度下玉米茎粗的位点，改良西南地区玉米耐密性和抗倒伏能力。利用301份来源于玉米骨干亲本掖478和R08的重组自交系（RIL）群体在低种植密度（57 000株/hm²）、高种植密度（114 000株/hm²）条件和2014，2015年云南省景洪鉴定茎粗，并采用完备区间作图法的QTL ICIMapping V4.1和基于混合模型复合区间作图法的QTLNetwork 2.0分别进行数量性状位点（QTL）定位和QTL与环境互作分析。结果表明，双亲茎粗差异比较显示，掖478茎粗对密度变化不敏感，而R08茎粗随着密度增加显著变小。本研究的RIL群体茎粗变异广泛，同时随着密度增加，表型变异范围下降。高密度和低密度下RIL群体的茎粗遗传力分别为48.01%，65.03%。相关分析显示，茎粗在2种密度下与株高、穗位高和单穗穗质量极显著相关（0.29> r ≥0.13，P <0.01），与秃尖长和空秆率则不显著。联合环境作图检测到7个表型变异解释率为3.68%~6.91%的茎粗QTL，其中，4个QTL qSD1-1、qSD3-1、qSD4和qSD6在高密度被观测到，仅qSD6在高低2种密度下被检测到。qSD1-1、qSD3-1、qSD3-2和qSD4均未见前人茎粗定位的报道。同时仅在高密度下检测到1对上位性位点。这些结果显示，高低密度下玉米茎粗的遗传调节不同。qSD6在2种密度条件和之前报道的相同来源的F_2：3群体中均被检测到。上述QTL区段均在掖478相关系衍生和传递较好，可用于分子标记辅助育种改良玉米茎粗。

关键词: 玉米, 茎粗, 数量性状位点, 耐密性

Abstract: Mining the loci for stem diameter(SD) under different planting densities in maize could improve maize high-density tolerance and lodging resistance. SD was measured from 301 recombinant inbred lines(RIL) derived from the cross between the maize foundation parents Ye 478 and R08 under low(57 000 plants/ha) and high(114 000 plants/ha) planting densities in Jinghong, Yunnan Province, in 2014 and 2015. Quantitative trait loci(QTL) analyses were conducted by using inclusive composite interval mapping in QTL ICIMapping V4.1. QTL and environment interaction was analyzed by using the mixed-model-based composite interval mapping(MCIM) of QTLNetwork 2.0.The results showed that the difference of parental lines indicated Ye 478 did not differ for SD between two densities, but SD in R08 significantly decreased as the plant density increased. Considerable SD variation was observed in the RIL population. The range of phenotypic variation was decreased as the plant density increased. Heritability for SD in the RIL population under high and low planting densities were 48.01%, 65.03%, respectively. Correlation analyses revealed that SD was significantly correlated with plant height, ear height, and ear weight per plant(0.29> r ≥ 0.13, P <0.01), but had no significant correlation relationship with ear tip-barrenness and barrenness rate across both densities. QTL mapping by using joint analyses across both environments detected seven minor QTL for SD, with a range from 3.68% to 6.91%, and four QTL were observed under high density, namely qSD1-1, qSD3-1, qSD4, and qSD6. Only qSD6 was found across both planting densities. None of the four QTL(qSD1-1, qSD3-1, qSD3-2, and qSD4) was presented in the previous studies regarding QTL mapping for SD. Only one pair of loci for additive and additive interaction was found under high planting density. These results suggested different genetic regulations for SD across low and high densities. Among these QTL, qSD6 was simultaneously found across both densities and in the F_2:3 population from the same cross reported in the previous study. Moreover, the QTL segments stated above are well descended and transmitted from Ye 478 and its descendants, which could be used for marker-assistance selection(MAS) in maize breeding.

Key words: Maize, Stem diameter, Quantitative trait loci, High-density tolerance

中图分类号:

S513.03

易强, 杨泽兵, 谭家颖, 侯宪斌, 刘应红, 柏光晓, 黄玉碧. 高低种植密度下玉米茎粗的QTL鉴定[J]. 华北农学报, 2021, 36(5): 50-58. doi: 10.7668/hbnxb.20192281.

YI Qiang, YANG Zebing, TAN Jiaying, HOU Xianbin, LIU Yinghong, BAI Guangxiao, HUANG Yubi. QTL Identification for Stem Diameter under Low and High Planting Densities in Maize[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2021, 36(5): 50-58. doi: 10.7668/hbnxb.20192281.

http://www.hbnxb.net/CN/Y2021/V36/I5/50

参考文献

[1] 张洪生, 赵明, 吴沛波, 翟延举, 姜雯. 种植密度对玉米茎秆和穗部性状的影响[J].玉米科学, 2009, 17(5):130-133.doi:10.13597/j.cnki.maize.science.2009.05.033.
Zhang H S, Zhao M, Wu P B, Zhai Y J, Jiang W. Effects of the plant density on the characteristics of maize stem and ear[J]. Journal of Maize Sciences, 2009, 17(5):130-133.
[2] 任佰朝, 李利利, 董树亭, 刘鹏, 赵斌, 杨今胜, 王丁波, 张吉旺. 种植密度对不同株高夏玉米品种茎秆性状与抗倒伏能力的影响[J].作物学报, 2016, 42(12):1864-1872.doi:10.3724/SP.J.1006.2016.01864.
Ren B Z, Li L L, Dong S T, Liu P, Zhao B, Yang J S, Wang D B, Zhang J W. Effects of plant density on stem traits and lodging resistance of summer maize hybrids with different plant heights[J]. Acta Agronomica Sinica, 2016, 42(12):1864-1872.
[3] 谷利敏, 乔江方, 张美微, 朱卫红, 黄璐, 代书桃, 董树亭, 刘京宝. 种植密度对不同耐密夏玉米品种茎秆性状与抗倒伏能力的影响[J].玉米科学, 2017, 25(5):91-97.doi:10.13597/j.cnki.maize.science.20170515.
Gu L M, Qiao J F, Zhang M W, Zhu W H, Huang L, Dai S T, Dong S T, Liu J B. Effect of planting density on stalk characteristics and lodging-resistant capacity of different density-resistant summer maize varieties[J]. Journal of Maize Sciences, 2017, 25(5):91-97.
[4] 丰光, 景希强, 李妍妍, 王亮, 黄长玲. 玉米茎秆性状与倒伏性的相关和通径分析[J].华北农学报, 2010, 25(S1):72-74.doi:10.7668/hbnxb.2010.S1.017.
Feng G, Jing X Q, Li Y Y, Wang L, Huang C L. Correlation and path analysis of lodging resistance with maize stem characters[J]. Acta Agriculturae Boreali-Sinica, 2010, 25(S1):72-74.
[5] 王铁固, 马娟, 张怀胜, 陈士林. 玉米茎粗主基因+多基因遗传模型分析[J].江苏农业学报, 2012, 28(3):467-471.doi:10.3969/j.issn.1000-4440.2012.03.002.
Wang T G, Ma J, Zhang H S, Chen S L. Mixed major gene plus polygene inheritance model for stem diameter in maize[J]. Jiangsu Journal of Agricultural Sciences, 2012, 28(3):467-471.
[6] 徐蔚.玉米茎粗QTL定位与遗传分析[D].雅安:四川农业大学, 2014.
Xu W. Corn stem diameter QTL mapping and genetic analysis[D].Ya'an:Sichuan Agricultural University, 2014.
[7] Hu H X, Liu W X, Fu Z Y, Homann L, Technow F, Wang H W, Song C L, Li S T, Melchinger A E, Chen S J. QTL mapping of stalk bending strength in a recombinant inbred line maize population[J]. Theoretical and Applied Genetics, 2013, 126(9):2257-2266.doi:10.1007/s00122-013-2132-7.
[8] Lemmon Z H, Doebley J F. Genetic dissection of a genomic region with pleiotropic effects on domestication traits in maize reveals multiple linked QTL[J]. Genetics, 2014, 198(1):345-353.doi:10.1534/genetics.114.165845.
[9] 陈琼. 基于DH家系的玉米植株抗倒伏相关性状的QTL分析[D].郑州:河南农业大学, 2016.
Chen Q. QTL analysis for the lodging resistance relevant of DH lines about maize plants[D].Zhengzhou:Henan Agricultural University, 2016.
[10] 刘鹏飞. 基于四交群体的玉米耐密性及相关性状QTL定位与分析[D].兰州:甘肃农业大学, 2013.
Liu P F. QTL mapping of density tolerance and related traits based on four-way cross population in maize(Zea mays L.)[D].Lanzhou:Gansu Agricultural University, 2013.
[11] Mazaheri M, Heckwolf M, Vaillancourt B, Gage J L, Burdo B, Heckwolf S, Barry K, Lipzen A, Ribeiro C B, Kono T J Y, Kaeppler H F, Spalding E P, Hirsch C N, Robin Buell C, de Leon N, Kaeppler S M. Genome-wide association analysis of stalk biomass and anatomical traits in maize[J]. BMC Plant Biology, 2019, 19(1):45.doi:10.1186/s12870-019-1653-x.
[12] 刘福鹏, 曲文利, 房海悦, 李莉莉, 金峰学, 吴委林. 玉米茎粗Meta-QTL及候选基因分析[J].东北农业科学, 2019, 44(5):30-33.doi:10.16423/j.cnki.1003-8701.2019.05.007.
Liu F P, Qu W L, Fang H Y, Li L L, Jin F X, Wu W L. Analysis of Meta-QTL and candidate genes related to stem diameter in maize[J]. Journal of Northeast Agricultural Sciences, 2019, 44(5):30-33.
[13] Gonzalo M, Vyn T J, Holland J B, McIntyre L M. Mapping density response in maize:A direct approach for testing genotype and treatment interactions[J]. Genetics, 2006, 173(1):331-348.doi:10.1534/genetics.105.045757.
[14] Gonzalo M, Holland J B, Vyn T J, McIntyre L M. Direct mapping of density response in a population of B73Mo17 recombinant inbred lines of maize(Zea Mays L.)[J]. Heredity, 2010, 104(6):583-599.doi:10.1038/hdy.2009.140.
[15] Ku L X, Zhang L K, Tian Z Q, Guo S L, Su H H, Ren Z Z, Wang Z Y, Li G H, Wang X B, Zhu Y G, Zhou J L, Chen Y H. Dissection of the genetic architecture underlying the plant density response by mapping plant height-related traits in maize(Zea mays L.)[J]. Molecular Genetics and Genomics, 2015, 290(4):1223-1233.doi:10.1007/s00438-014-0987-1.
[16] Ku L X, Ren Z Z, Chen X, Shi Y, Qi J S, Su H H, Wang Z Y, Li G H, Wang X B, Zhu Y G, Zhou J L, Zhang X, Chen Y H. Genetic analysis of leaf morphology underlying the plant density response by QTL mapping in maize(Zea mays L.)[J]. Molecular Breeding, 2016, 36(5):1-16.doi:10.1007/s11032-016-0483-x.
[17] Wang H W, Liang Q J, Li K, Hu X J, Wu Y J, Wang H, Liu Z F, Huang C L. QTL analysis of ear leaf traits in maize(Zea mays L.) under different planting densities[J]. The Crop Journal, 2017, 5(5):387-395.doi:10.1016/j.cj.2017.05.001.
[18] 任真真, 周金龙, 王小博, 李国辉, 朱宇光, 库丽霞, 陈彦惠. 两种密度条件下玉米穗上节间距QTL分析[J].玉米科学, 2016, 24(3):26-30.doi:10.13597/j.cnki.maize.science.20160305.
Ren Z Z, Zhou J L, Wang X B, Li G H, Zhu Y G, Ku L X, Chen Y H. QTL mapping of internodes length above upmost ear under two planting densities in maize[J]. Journal of Maize Sciences, 2016, 24(3):26-30.
[19] Yi Q, Hou X B, Liu Y H, Zhang X G, Zhang J J, Liu H M, Hu Y F, Yu G W, Li Y P, Huang Y B. QTL analysis for plant architecture-related traits in maize under two different plant density conditions[J]. Euphytica, 2019, 215:148.doi:10.1007/s10681-019-2446-x.
[20] Yi Q, Liu Y H, Hou X B, Zhang X G, Zhang J J, Liu H M, Hu Y F, Yu G W, Li Y P, Wang Y B, Huang Y B. Quantitative trait loci mapping for yield-related traits under low and high planting densities in maize(Zea mays)[J]. Plant Breeding, 2020, 139(2):227-240.doi:10.1111/pbr.12778.
[21] Guo J J, Chen Z L, Liu Z P, Wang B B, Song W B, Li W, Chen J, Dai J R, Lai J S. Identification of genetic factors affecting plant density response through QTL mapping of yield component traits in maize(Zea mays L.)[J]. Euphytica, 2011, 182(3):409-422.doi:10.1007/s10681-011-0517-8.
[22] 王辉, 梁前进, 胡小娇, 李坤, 黄长玲, 王琪, 何文昭, 王红武, 刘志芳. 不同密度下玉米穗部性状的QTL分析[J].作物学报, 2016, 42(11):1592-1600.doi:10.3724/SP.J.1006.2016.01592.
Wang H, Liang Q J, Hu X J, Li K, Huang C L, Wang Q, He W Z, Wang H W, Liu Z F. QTL mapping for ear architectural traits under three plant densities in maize[J]. Acta Agronomica Sinica, 2016, 42(11):1592-1600.
[23] 刘翔攀. 玉米自交系耐密性评价及SNP关联分析[D].泰安:山东农业大学, 2017.
Liu X P. Evaluation on density-tolerant characteristics of maize inbred lines and association analysis between SNP and density-tolerance[D].Tai'an:Shandong Agricultural University, 2017.
[24] Wang L W, Zhou Z Q, Li R G, Weng J F, Zhang Q G, Li X H, Wang B Q, Zhang W Y, Song W, Li X H. Mapping QTL for flowering time-related traits under three plant densities in maize[J]. The Crop Journal, 2021, 9(2):372-379.doi:10.1016/j.cj.2020.07.009.
[25] Littell R C, Milliken G A, Stroup W W, Wolfinger R D, Schabenberger O. SAS for mixed models[M].2^nd edition. North Carolina:SAS Institute, Cary, 2007.
[26] Holland J B, Nyquist W E, Cervantes-Martínez C T. Estimating and interpreting heritability for plant breeding:An update[M]//Plant Breeding Reviews. Oxford:John Wiley & Sons, Inc., 2010:9-112.doi:10.1002/9780470650202.ch2.
[27] The R Development Core Team. R:A language and environment for statistical computing[EB/OL].R Foundation for Statistical Computing, Vienna, Austria, 2015.
[28] Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models Usinglme 4[J]. Journal of Statistical Software, 2015, 67(1):137528.doi:10.18637/jss.v067.i01.
[29] Chen D H, Ronald P C. A rapid DNA minipreparation method suitable for AFLP and other PCR applications[J]. Plant Molecular Biology Reporter, 1999, 17(1):53-57.doi:10.1023/A:1007585532036.
[30] Ganal M W, Durstewitz G, Polley A, Bérard A, Buckler E S, Charcosset A, Clarke J D, Graner E M, Hansen M, Joets J, Le Paslier M C, McMullen M D, Montalent P, Rose M, Schön C C, Sun Q, Walter H, Martin O C, Falque M. A large maize(Zea mays L.) SNP genotyping array:Development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome[J]. PLoS One, 2011, 6(12):e28334.doi:10.1371/journal.pone.0028334.
[31] Lorieux M. MapDisto:fast and efficient computation of genetic linkage maps[J]. Molecular Breeding, 2012, 30(2):1231-1235.doi:10.1007/s11032-012-9706-y.
[32] Kosambi D D. The estimation of map distances from recombination values[J]. Annals of Eugenics, 1943, 12(1):172-175.doi:10.1111/j.1469.1809.1943.tb02321.x.
[33] Meng L, Li H H, Zhang L Y, Wang J K. QTL IciMapping:Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations[J]. The Crop Journal, 2015, 3(3):269-283.doi:10.1016/j.cj.2015.01.001.
[34] Yang J, Hu C C, Hu H, Yu R D, Xia Z, Ye X Z, Zhu J. QTLNetwork:mapping and visualizing genetic architecture of complex traits in experimental populations[J]. Bioinformatics, 2008, 24(5):721-723.doi:10.1093/bioinformatics/btm494.
[35] Yang X H, Gao S B, Xu S T, Zhang Z X, Prasanna B M, Li L, Li J S, Yan J B. Characterization of a global germplasm collection and its potential utilization for analysis of complex quantitative traits in maize[J]. Molecular Breeding, 2011, 28(4):511-526.doi:10.1007/s11032-010-9500-7.
[36] Liu H J, Luo X, Niu L Y, Xiao Y J, Chen L, Liu J, Wang X Q, Jin M L, Li W Q, Zhang Q H, Yan J B. Distant eQTLs and non-coding sequences play critical roles in regulating gene expression and quantitative trait variation in maize[J]. Molecular Plant, 2017, 10(3):414-426.doi:10.1016/j.molp.2016.06.016.
[37] 易强. 玉米骨干亲本掖478和08-641关键区段的遗传解析[D].成都:四川农业大学, 2020.
Yi Q. Genetic dissection of specific genomic regions for maize foundation parents Ye478 and 08-641[D].Chengdu:Sichuan Agricultural University, 2020.
[38] Tetio-Kagho F, Gardner F P. Responses of maize to plant population density.Ⅰ.Canopy development, light relationships, and vegetative growth[J]. Agronomy Journal, 1988, 80(6):930-935.doi:10.2134/agronj1988.00021962008000060018x.
[39] Tetio-Kagho F, Gardner F P. Responses of maize to plant population density.Ⅱ.Reproductive development, yield, and yield adjustments[J]. Agronomy Journal, 1988, 80(6):935-940.doi:10.2134/agronj1988.00021962008000060019x.
[40] Liu X G, Hu X J, Li K, Liu Z F, Wu Y J, Wang H W, Huang C L. Genetic mapping and genomic selection for maize stalk strength[J]. BMC Plant Biology, 2020, 20(1):196.doi:10.1186/s12870-020-2270-4.
[41] Zhang Y L, Liu P, Zhang X X, Zheng Q, Chen M, Ge F, Li Z L, Sun W T, Guan Z R, Liang T H, Zheng Y, Tan X L, Zou C Y, Peng H W, Pan G T, Shen Y O. Multi-locus genome-wide association study reveals the genetic architecture of stalk lodging resistance-related traits in maize[J]. Frontiers in Plant Science, 2018, 9:611.doi:10.3389/fpls.2018.00611.
[42] Zhang Y, Wang J L, Du J J, Zhao Y X, Lu X J, Wen W L, Gu S H, Fan J C, Wang C, Wu S, Wang Y J, Liao S J, Zhao C J, Guo X Y. Dissecting the phenotypic components and genetic architecture of maize stem vascular bundles using high-throughput phenotypic analysis[J]. Plant Biotechnology Journal, 2021, 19(1):35-50.doi:10.1111/pbi.13437.
[43] López-Malvar A, Butrón A, Samayoa L F, Figueroa-Garrido D J, Malvar R A, Santiago R. Genome-wide association analysis for maize stem cell wall-bound hydroxycinnamates[J]. BMC Plant Biology, 2019, 19(1):519.doi:10.1186/s12870-019-2135-x.
[44] Yi Q, Liu Y H, Zhang X G, Hou X B, Zhang J J, Liu H M, Hu Y F, Yu G W, Huang Y B. Comparative mapping of quantitative trait loci for tassel-related traits of maize in F_2:3 and RIL populations[J]. Journal of Genetics, 2018, 97(1):253-266.doi:10.1007/s12041-018-0908-x.
[45] Yi Q, Liu Y H, Hou X B, Zhang X G, Li H, Zhang J J, Liu H M, Hu Y F, Yu G W, Li Y P, Wang Y B, Huang Y B. Genetic dissection of yield-related traits and mid-parent heterosis for those traits in maize(Zea mays L.)[J]. BMC Plant Biology, 2019, 19(1):392.doi:10.1186/s12870-019-2009-2.

选择文件类型/文献管理软件名称

选择包含的内容