Scientia Agricultura Sinica ›› 2016, Vol. 49 ›› Issue (4): 621-631.doi: 10.3864/j.issn.0578-1752.2016.04.002

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

Identification of Heterotic Loci for Kernel Related Traits Using a Maize Introgression Lines Test Population

GUO Zhan-yong1, LÜ Pan-qing1, ZHANG Xiang-ge1, SUN Gao-yang1, WANG Hong-qiu1LI Wei-hua1, FU Zhi-yuan1, TANG Ji-hua1,2   

  1. 1 College of Agronomy, Henan Agricultural University/Key Laboratory of Wheat and Maize Crops Science, Zhengzhou 450002
    2 Hubei Collaborative Innovation Center for Grain Industry, Yangtze University, Jingzhou 434025, Hubei
  • Received:2015-08-12 Online:2016-02-16 Published:2016-02-16

Abstract: 【Objective】Kernel shape traits are important components of 100-kernel weight and show high heterosis. Identifying the heterotic loci for kernel related traits and subsequently dissecting the genetic basis architecture of heterosis for kernel related traits can provide useful information for cloning heterotic QTL and the development of elite hybrids by molecular breeding.【Method】A set of chromosome segment substitution lines (CSSLs) population was constructed using the inbred line lx9801 as the receptor parent and the inbred line Chang7-2 as the donor parent, which was used as the martial and test with the inbred line T7296 to construct a set of 184 test hybrid population. The test population, CSSLs population as well as other materials were evaluated in the field by following three replicates in randomized complete blocks with at Changge and Xunxian locations in Henan province in 2013. Ten plants were harvested after the physiological maturity period. Then, four kernel-related traits were investigated as follows: Including kernel length (KL, mm), kernel width (KD, Mm), kernel thickness (KT, mm) and 100-kernel weight (KW, g). The heterotic loci for kernel related traits were identified through significant analysis comparing to each test hybrid and the CK T7296×lx9801 by mean of variance analysis and t test.【Result】The kernel shape traits of the two parents in the CSSLs population had obvious differences; the kernel length and 100-kernel weight of the parent Chang7-2 was higher than lx9801, and the kernel thickness was lower lx9801. The four kernel shape traits in the test population had certain heterosis, the mid-parent heterosis of kernel length were 19.32% and 15.30% in Changge and Xunxian locations respectively, the mid-parent heterosis of kernel width were 10.86% and 10.07%, the mid-parent heterosis of kernel thickness were 6.23% and 4.78%, and the mid-parent heterosis of 100-kernel weight were 20.97% and 25.09%. The results of correlation analysis showed that kernel length expressed a significant positive relationship with kernel width and 100-kernel weight, and kernel width and kernel thickness also showed a significant positive relationship with 100-kernel weight;. kernel width, however, had a negative relationship with kernel thickness. A total of 13 heterotic loci for kernel length were identified for two environments, and one heterotic locus was detected for two environments simultaneously. For kernel width, fourteen heterotic loci were detected, including one main heterotic loci identified at Changge and Xunxian locations respectively. There were twenty-five heterotic loci detected for kernel thickness, and the common heterotic loci on chromosome 2, 3, 7 and 9 were identified for two environments simultaneously. Twenty-four heterotic loci for 100-kernel weight were detected, above of them, two heterotic loci hKW1a and hKW1b were identified on chromosome 1 at the two locations simultaneously. On the chromosome 7, one main heterotic locus hKW7a was identified, which had 20.12% and 11.03% contributions at Changge and Xunxian locations. Additionally, the heterotic locus hKW8a on chromosome 8 had 18.64% and 8.76% contributions at the two environments respectively.【Conclusion】The heterosis of kernel shape traits followed the order: kernel length > kernel width > kernel thickness, and a total of 75 heterotic loci (HL) were identified for three kernel related traits and 100-kernel weight, and 11 HL were identified at the two environments simultaneously. Owing to kernel length having a high correlation with high seed removal rate, and that it is difficult to predict the heterosis of kernel related traits, so the molecular markers linked with the heterotic loci of kernel length could be used for select elite hybrid with high seed removal rate in maize breeding.

Key words: maize, kernel related traits, heterotic loci, mapping, single segment substitution lines

[1]    Shull G H. The composition of a field of maize. Journal of Heredity, 1908, 4: 296-301.
[2]    Bruce A B. The Mendelian theory of heredity and the augmentation of vigor. Science, 1910, 32: 627-628.
[3]    Jones D F. Dominance of linked factors as a means of accounting for heterosis. Proceedings of the National Academy of Sciences of the USA, 1917, 3: 310-312.
[4]    East E M. Heterosis. Genetics, 1936, 21: 375-397.
[5]    Yu S B, Li J X, Xu C G, Yan Y F, Gao Y J. Importance of epistasis as the genetic basis of the heterosis in an elite rice hybrid. Proceedings of the National Academy of Sciences of the USA, 1997, 94: 9226-9231.
[6]    Kusterer B, Muminovic J, Utz H F, Piepho H P, Barth S, Heckenberger M, Meyer R C, Altmann T, Melchinger A E. Analysis of a triple testcross design with recombinant inbred lines reveals a significant role of epistasis in heterosis for biomass-related traits in Arabidopsis. Genetics, 2007, 175: 2009-2017.
[7]    Li Z K, Luo L J, Mei H W, Wang D L, Shu Q Y, Tabien R, Zhong D B, Ying C S, Stansel J W, Khush G S, Paterson A H. Overdominance epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice: I. Biomass and grain yield. Genetics, 2001, 158: 1737-1753.
[8]    Kusterer B, Piepho H P, Utz H F, Muminovic J, Meyer R C, Meyer R C, Altmann T, Melchinger A E. Heterosis for biomass related traits in Arabidopsis investigated by a novel QTL analysis of the triple testcross design with recombinant inbred lines. Genetics, 2007, 177: 1839-1850.
[9]    Xiao J H, Li J M, Yuan L P, Tanksley S D. Dominance is the major genetic basis of the heterosis in rice as revealed by QTL analysis using molecular markers. Genetics, 1995, 140: 745-754.
[10]   Lu H, Romero-Severson J, Bernarbo R. Genetic basis of heterosis explored by simple sequence repeat markers in a random-mated maize population. Theoretical and Applied Genetics, 2003, 107: 494-502.
[11]   Hua J, Xing Y, Wu W, Xu C, Sun X, Yu S B, Zhang Q F. Single-locus heterotic effects and dominance by dominance interactions can adequately explain the genetic basis of heterosis in an elite rice hybrid. Proceedings of the National Academy of Sciences of the USA, 2003, 100(5): 2574-2579.
[12]   Semel Y, Nissenbaum J, Menda N, Zinder M, Krieger U, Issman N, Pleban T, Lippman Z, Gur A, Zamir D. Overdominant quantitative trait loci for yield and fitness in tomato. Proceedings of the National Academy of Sciences of the USA, 2006, 103(35): 12981-12986.
[13]   Krieger U, Lippman Z B, Zamir D. The flowering gene single flower truss drives heterosis for yield in tomato. Nature Genetics, 2010, 42(5): 459-463.
[14]   Wang Z Q, Yu CY, Liu X, Liu S J, Yin C B, Liu L L, Lei J G, Jiang   L, Yang C, Chen L M, Zhai H Q, Wan J M. Identification of Indica rice chromosome segments for the improvement of Japonica inbreds and hybrids. Theoretical and Applied Genetics, 2012, 124(7): 1351-1364.
[15]   Meyer R C, Kusterer B, Lisec J, Steinfath M, Becher M, Scharr H, Melchinger AE, Selbig J, Schurr U, Willmitzer L, Altmann T. QTL analysis of early stage heterosis for biomass in Arabidopsis. Theoretical and Applied Genetics, 2010, 120(2): 227-237.
[16]   Guo X, Guo Y, Ma J, Wang F, Sun M, Gui L J, Zhou J J, Song X L, Sun X Z, Zhang T Z. Mapping heterotic loci for yield and agronomic traits using chromosome segment introgression lines in cotton. Journal of Integrative Plant Biology, 2013, 55: 759-774.
[17]   Guo M, Rupe M A, Wei J, Winkler C, Goncalves-Butruille M, Weers B P, Cerwick S F, Dieter J A, Duncan K E, Howard R J, Hou Z, L?ffler C M, Cooper M, Simmons C R. Maize ARGOS1 (ZAR1) transgenic alleles increase hybrid maize yield. Journal of Experimental Botany, 2014, 65: 249-260.
[18]   Li A, Zhou Y N, Jin C, Song W Q, Chen C B, Wang C G. LaAP2L1, a heterosis-associated AP2/EREBP transcription factor of Larix, increases organ size and final biomass by affecting cell proliferation in Arabidopsis. Plant Cell Physiology, 2013, 54(11): 1822-1836.
[19]   Schnable P S, Springer N M. Progress toward understanding heterosis in crop plants. Annual Review of Plant Biology, 2013, 64: 71-78.
[20]   Duvick D. Heterosis: Feeding people and protecting natural resources// Coors J, Pandey S. The Genetics and Exploitation of Heterosis in Crops. CSSA, Madison, WI. 1999: 19-29.
[21]   Stuber C W, Lincoln S E, Wolff D W, Helentjaris T, Lander E S. Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers. Genetics, 1992, 132: 823-839.
[22]   Tang J H, Yan J B, Ma X Q, Teng W T, Wu W R, Dai J R, Dhillon B S, Melchinger A E, Li J S. Dissection of the genetic basis of heterosis in an elite maize hybrid by QTL mapping in an immortalized F2 population. Theoretical and Applied Genetics, 2010, 120: 333-340.
[23]   袁亮, 丁冬, 李卫华, 谢惠玲, 汤继华, 付志远. 玉米优良自交系单片段代换系的构建. 玉米科学, 2012, 20(2): 52-55.
Yuan L, Ding D, Li W H, Xie H L, Tang J H, Fu Z Y. Construction of single segment substitution lines (SSSLs) of the elite inbred lines in maize. Journal of Maize Sciences, 2012, 20(2): 52-55. (in Chinese)
[24]   Guo X, Guo Y P, Ma J, Wang F, Sun M Z, Gui L J, Zhou J J, Song X L, Sun X Z, Zhang T Z. Mapping heterotic loci for yield and agronomic traits using chromosome segment introgression lines in cotton. Journal of Integrative Plant Biology, 2013, 55: 759-774.
[25]   Larièpe A, Mangin B, Jasson S, Combes V, Dumas F, Jamin P, Lariagon C, Jolivot D, Madur D, Fiévet J, Gallais A, Dubreuil P, Charcosset A, Moreau L. The genetic basis of heterosis: Multi parental quantitative trait loci mapping reveals contrasted levels of apparent overdominance among traits of agronomical interest in maize (Zea mays L.). Genetics, 2012, 190: 795-811.
[26]   Li L Z, Lu K Y, Chen Z M, Mou T M, Hu Z L, Li X Q. Dominance, overdominance and epistasis condition the heterosis in two heterotic rice hybrids. Genetics, 2001, 20: 1725-1742.
[27]   Luo L J, Li Z K, Mei H W, Shu Q Y, Tabien R, Zhong D B, Ying C S, Stansel J W, Khush G S, Paterson A H. Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice: II. Grain yield components. Genetics, 2001, 158: 1755-1771.
[28]   Kusterer B, Piepho H P, Utz H F, Schön C C, Muminovic J, Meyer R C, Altmann T, Melchinger A E. Heterosis for biomass-related traits in Arabidopsis investigated by quantitative trait loci analysis of the triple testcross design with recombinant inbred lines. Genetics, 2007, 177: 1839-1850.
[29]   Song F W, Peng H R, Liu T, Zhang Y R, Sun Q X, Ni Z F. Heterosis for plant height and ear position in maize revealed by quantitative trait loci analysis with triple testcross design. Acta Agronomica Sinica, 2011, 37: 1186-1195.
[30]   Tang J H, Ma X Q, Teng W T, Yan J B, Wu W R, Dai J R, Li J S. Detection of heterotic locus and quantitative trait loci for plant height using an immortalized F2 population in maize. China Science Bulletin, 2006, 51: 2864-2869.
[31]   Wei X Y, Wang B, Peng Q, Wei F, Mao K J, Zhang X G, Sun P, Liu Z H, Tang J H. Heterotic loci for various morphological traits of maize detected using a single segment substitution lines test-cross population. Molecular Breeding, 2015, 35: 94.
[32]   陈哲, 李盼, 刘渊, 姬东华, 赵永锋, 祝丽英, 黄亚群, 陈景堂. 玉米籽粒锌、铁含量与籽粒性状的相关及QTL定位分析. 华北农学报, 2011, 26(6): 6-11.
Chen Z, Li P, Liu Y, Ji D H, Zhao Y F, Zhu L Y, Huang Y Q, Chen J T. Correlation analysis and QTL mapping for kernel traits and Zinc, Iron content in maize. Acta Agriculturae Boreali Sinica, 2011, 26(6): 6-11. (in Chinese)
[33]   曹晓良, 翟立红, 刘瑞响, 陶勇生, 张祖新. 玉米八个产量相关性状的QTL鉴定. 河北农业大学学报, 2012, 35(5): 1-8.
Cao X L, Zhai L H, Liu R X, Tao Y S, Zhang Z X. QTL mapping of eight yield-relative traits in maize. Journal of Agricultural University of Hebei, 2012, 35(5): 1-8. (in Chinese)
[34]   Pang B, Li Y X, Wang Y, Liu C, Liu Z Z, Tan W W, Zhang Y, Wang  D, Shi Y S, Sun B C, Song Y C, Wang T Y, Li Y. QTL analysis for yield components and kernel related traits in maize across multi- environments. Theoretical and Applied Genetics, 20l1, 122: 1305-1320.
[35]   张伟强, 库丽霞, 张君, 韩赞平, 陈彦惠. 玉米出籽率、籽粒深度和百粒重的QTL分析. 作物学报, 2013, 39(3): 455-463.
Zhang W Q, Ku L X, Zhang J, Han Z P, Chen Y H. QTL analysis of kernel depth, and 100-kernel weight in maize. Acta Agronomica Sinica, 2013, 39(3): 455-463. (in Chinese)
[36]   李永祥, 王阳, 石云素, 宋燕春, 王天宇, 黎裕. 玉米籽粒构型与产量性状的关系及QTL作图. 中国农业科学, 2009, 42(2): 408-418.
Li Y X, Wang Y, Shi Y S, Song Y C, Wang T Y, Li Y. Correlation analysis and QTL mapping for traits of kernel structure and yield components in maize. Scientia Agricultura Sinica, 2009, 42(2): 408-418. (in Chinese)
[1] CHEN JiHao, ZHOU JieGuang, QU XiangRu, WANG SuRong, TANG HuaPing, JIANG Yun, TANG LiWei, $\boxed{\hbox{LAN XiuJin}}$, WEI YuMing, ZHOU JingZhong, MA Jian. Mapping and Analysis of QTL for Embryo Size-Related Traits in Tetraploid Wheat [J]. Scientia Agricultura Sinica, 2023, 56(2): 203-216.
[2] CHAI HaiYan,JIA Jiao,BAI Xue,MENG LingMin,ZHANG Wei,JIN Rong,WU HongBin,SU QianFu. Identification of Pathogenic Fusarium spp. Causing Maize Ear Rot and Susceptibility of Some Strains to Fungicides in Jilin Province [J]. Scientia Agricultura Sinica, 2023, 56(1): 64-78.
[3] ZHAO ZhengXin,WANG XiaoYun,TIAN YaJie,WANG Rui,PENG Qing,CAI HuanJie. Effects of Straw Returning and Nitrogen Fertilizer Types on Summer Maize Yield and Soil Ammonia Volatilization Under Future Climate Change [J]. Scientia Agricultura Sinica, 2023, 56(1): 104-117.
[4] LI ZhouShuai,DONG Yuan,LI Ting,FENG ZhiQian,DUAN YingXin,YANG MingXian,XU ShuTu,ZHANG XingHua,XUE JiQuan. Genome-Wide Association Analysis of Yield and Combining Ability Based on Maize Hybrid Population [J]. Scientia Agricultura Sinica, 2022, 55(9): 1695-1709.
[5] XIONG WeiYi,XU KaiWei,LIU MingPeng,XIAO Hua,PEI LiZhen,PENG DanDan,CHEN YuanXue. Effects of Different Nitrogen Application Levels on Photosynthetic Characteristics, Nitrogen Use Efficiency and Yield of Spring Maize in Sichuan Province [J]. Scientia Agricultura Sinica, 2022, 55(9): 1735-1748.
[6] LI YiLing,PENG XiHong,CHEN Ping,DU Qing,REN JunBo,YANG XueLi,LEI Lu,YONG TaiWen,YANG WenYu. Effects of Reducing Nitrogen Application on Leaf Stay-Green, Photosynthetic Characteristics and System Yield in Maize-Soybean Relay Strip Intercropping [J]. Scientia Agricultura Sinica, 2022, 55(9): 1749-1762.
[7] MA XiaoYan,YANG Yu,HUANG DongLin,WANG ZhaoHui,GAO YaJun,LI YongGang,LÜ Hui. Annual Nutrients Balance and Economic Return Analysis of Wheat with Fertilizers Reduction and Different Rotations [J]. Scientia Agricultura Sinica, 2022, 55(8): 1589-1603.
[8] LI Qian,QIN YuBo,YIN CaiXia,KONG LiLi,WANG Meng,HOU YunPeng,SUN Bo,ZHAO YinKai,XU Chen,LIU ZhiQuan. Effect of Drip Fertigation Mode on Maize Yield, Nutrient Uptake and Economic Benefit [J]. Scientia Agricultura Sinica, 2022, 55(8): 1604-1616.
[9] ZHANG JiaHua,YANG HengShan,ZHANG YuQin,LI CongFeng,ZHANG RuiFu,TAI JiCheng,ZHOU YangChen. Effects of Different Drip Irrigation Modes on Starch Accumulation and Activities of Starch Synthesis-Related Enzyme of Spring Maize Grain in Northeast China [J]. Scientia Agricultura Sinica, 2022, 55(7): 1332-1345.
[10] TAN XianMing,ZHANG JiaWei,WANG ZhongLin,CHEN JunXu,YANG Feng,YANG WenYu. Prediction of Maize Yield in Relay Strip Intercropping Under Different Water and Nitrogen Conditions Based on PLS [J]. Scientia Agricultura Sinica, 2022, 55(6): 1127-1138.
[11] LIU Miao,LIU PengZhao,SHI ZuJiao,WANG XiaoLi,WANG Rui,LI Jun. Critical Nitrogen Dilution Curve and Nitrogen Nutrition Diagnosis of Summer Maize Under Different Nitrogen and Phosphorus Application Rates [J]. Scientia Agricultura Sinica, 2022, 55(5): 932-947.
[12] QIAO Yuan,YANG Huan,LUO JinLin,WANG SiXian,LIANG LanYue,CHEN XinPing,ZHANG WuShuai. Inputs and Ecological Environment Risks Assessment of Maize Production in Northwest China [J]. Scientia Agricultura Sinica, 2022, 55(5): 962-976.
[13] HUANG ZhaoFu, LI LuLu, HOU LiangYu, GAO Shang, MING Bo, XIE RuiZhi, HOU Peng, WANG KeRu, XUE Jun, LI ShaoKun. Accumulated Temperature Requirement for Field Stalk Dehydration After Maize Physiological Maturity in Different Planting Regions [J]. Scientia Agricultura Sinica, 2022, 55(4): 680-691.
[14] FANG MengYing,LU Lin,WANG QingYan,DONG XueRui,YAN Peng,DONG ZhiQiang. Effects of Ethylene-Chlormequat-Potassium on Root Morphological Construction and Yield of Summer Maize with Different Nitrogen Application Rates [J]. Scientia Agricultura Sinica, 2022, 55(24): 4808-4822.
[15] DU WenTing,LEI XiaoXiao,LU HuiYu,WANG YunFeng,XU JiaXing,LUO CaiXia,ZHANG ShuLan. Effects of Reducing Nitrogen Application Rate on the Yields of Three Major Cereals in China [J]. Scientia Agricultura Sinica, 2022, 55(24): 4863-4878.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!