Please wait a minute...
Journal of Integrative Agriculture  2017, Vol. 16 Issue (08): 1700-1707    DOI: 10.1016/S2095-3119(17)61677-0
Crop Science Advanced Online Publication | Current Issue | Archive | Adv Search |
QTL mapping of general combining abilities of four traits in maize using a high-density genetic map
WANG Hai, HE Yan, WANG Shou-cai
National Maize Improvement Center of China, China Agricultural University, Beijing 100193, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
Abstract    General combining abilities (GCAs) are very important in utilization of heterosis in maize breeding.  However, its genetic basis is unclear.  In the present study, a set of 118 doubled haploid (DH) lines were induced from F1 generations produced from the cross between the inbred line Zheng 58 and the inbred line W499 belonging to the Reid subgroup.  Using the MaizeSNP50 BeadChip, a high-density genetic map was constructed based on the DH population which included 1?147 bin markers with an average interval length of 2.00 cM.  Meanwhile, the DH population was crossed with three testers including W16-5, HD568, and W556, which belong to the Sipingtou subgroup.  The GCAs of the ear height (EH), the kernel moisture content (KMC), the kernel ratio (KR), and the yield per plant (YPP) were estimated using these hybrids in three environments.  Combining the high-density genetic map and the GCAs, a total of 14 QTLs were detected for the GCAs of the four traits.  Especially, one pleiotropic QTL was identified on chromosome 1 between the SNP SYN16067 and the SNP PZE-101169244 which was simultaneously associated with the GCAs of the EH, the KR, and the YPP.  These QTLs pave the way for further dissecting the genetic architecture underlying GCAs of the traits, and they may be used to enhance GCAs of inbred lines under the fixed heterotic pattern Reid×Sipingtou in China through a marker-assisted selection approach.  
Keywords:   maize        QTL mapping        general combining ability        high-density genetic map  
Received: 05 April 2017   Accepted:
CLC Number: 

null

 
Fund: 

This work was financially supported by the National Key Research and Development Plan of China (2016YFD0101200).

Corresponding Authors:  Correspondence WANG Shou-cai, Tel: +86-10-62738103, E-mail: wangshoucai678 @sina.com    
About author:  WANG Hai, E-mail: sichuanlcl@126.com;

Cite this article: 

WANG Hai, HE Yan, WANG Shou-cai. 2017. QTL mapping of general combining abilities of four traits in maize using a high-density genetic map. Journal of Integrative Agriculture, 16(08): 1700-1707.

Betrán F J, Ribaut J M, Beck D, de León D G. 2003. Genetic diversity, specific combining ability, and heterosis in tropical maize under stress and nonstress environments. Crop Science, 43, 797–806.

Bradbury P J, Zhang Z, Kroon D E, Casstevens T M, Ramdoss Y, Buckler E S. 2007. TASSEL: Software for association mapping of complex traits in diverse samples. Bioinformatics, 23, 2633–2635.

Chen Z, Wang B, Dong X, Liu H, Ren L, Chen J, Hauck A, Song W, Lai J. 2014. An ultra-high density bin-map for rapid QTL mapping for tassel and ear architecture in a large F2 maize population. BMC Genomics, 15, 433.

Falconer D S, Mackay T, Chu M. 2000. An Introduction to Quantitative Genetics. China Agriculture Scientech Press, China. (in Chinese)

Feng L, Sebastian S, Smith S, Cooper M. 2006. Temporal trends in SSR allele frequencies associated with long-term selection for yield of maize. Maydica, 51, 293–300.

Flint-Garcia S A, Buckler E S, Tiffin P, Ersoz E, Springer N M. 2009. Heterosis is prevalent for multiple traits in diverse maize germplasm. PLoS One, 4, e7433.

Griffing B. 1956. Concept of general and specific combining ability in relation to diallel crossing systems. Australian Journal of Biological Sciences, 9, 463–493.

Gu L. 2007. General combining ability analysis and its QTL mapping of maize DH lines. MSc thesis, Heibei Agricultural University, Baoding, China. (in Chinese)

Guo T, Yang N, Tong H, Pan Q, Yang X, Tang J, Wang J, Li J, Yan J. 2014. Genetic basis of grain yield heterosis in an “immortalized F2” maize population. Theoretical and Applied Genetics, 127, 2149–2158.

Holland J B. 2007. Genetic architecture of complex traits in plants. Current Opinion in Plant Biology, 10, 156–161.

Huang J, Qi H, Feng X, Huang Y, Zhu L, Yue B. 2013. General combining ability of most yield-related traits had a genetic basis different from their corresponding traits per se in a set of maize introgression lines. Genetica, 141, 453–461.

Iqbal M, Khan K, Rahman H, Khalil I H, Sher H, Bakht J. 2010. Heterosis for morphological traits in subtropical maize (Zea mays L.). Maydica, 55, 41–48.

Jiang L, Ge M, Zhao H, Zhang T. 2015. Analysis of heterosis and quantitative trait loci for kernel shape related traits using triple testcross population in maize. PLOS ONE, 10, e0124779.

Lariepe A, Mangin B, Jasson S, Combes V, Dumas F, Jamin P, Lariagon C, Jolivot D, Madur D, Fievet J, Gallais A, Dubreuil P, Charcosset A, Moreau L. 2012. The genetic basis of heterosis: multiparental quantitative trait loci mapping reveals contrasted levels of apparent overdominance among traits of agronomical interest in maize (Zea mays L.). Genetics, 190, 795–811.

Li H, Ye G, Wang J. 2007. A modified algorithm for the improvement of composite interval mapping. Genetics. 175, 361–374.

Li L, Xu X, Jin W, Chen S. 2009. Morphological and molecular evidences for DNA introgression in haploid induction via a high oil inducer CAUHOI in maize. Planta, 230, 367–376.

Li Y. 1998. Development and germplasm base of maize hybrids in China. Maydica, 43, 259–269.

Liu C, Hua J, Zhang D, Hao Z, Yong H, Xie C, Li M, Zhang S, Weng J, Li X. 2016a. Fine mapping of a quantitative trait locus conferring resistance to maize rough dwarf disease. Theoretical and Applied Genetics, 129, 1–10.

Liu C, Zhou Q, Dong L, Wang H, Liu F, Weng J, Li X, Xie C. 2016b. Genetic architecture of the maize kernel row number revealed by combining QTL mapping using a high-density genetic map and bulked segregant RNA sequencing. BMC Genomics, 17, 915.

Lu H, Romero-Severson J, Bernardo R. 2003. Genetic basis of heterosis explored by simple sequence repeat markers in a random-mated maize population. Theoretical and Applied Genetics, 107, 494–502.

Lu Y, Yan J, Guimaraes C T, Taba S, Hao Z, Gao S, Chen S, Li J, Zhang S, Vivek B S, Magorokosho C, Mugo S, Makumbi D, Parentoni S N, Shah T, Rong T, Crouch J H, Xu Y. 2009. Molecular characterization of global maize breeding germplasm based on genome-wide single nucleotide polymorphisms. Theoretical and Applied Genetics, 120, 93–115.

Lu Y, Zhang S, Shah T, Xie C, Hao Z, Li X, Farkhari M, Ribaut J M, Cao M, Rong T, Xu Y. 2010. Joint linkage-linkage disequilibrium mapping is a powerful approach to detecting quantitative trait loci underlying drought tolerance in maize. Proceedings of the National Academy of Sciences of the United States of America, 107, 19585–19590.

Lv A Z, Zhang H, Zhang Z Z, Tao Y S, Yue B, Zheng Y l. 2012. Conversion of the statistical combining ability into a genetic concept. Journal of Integrative Agriculture, 11, 43–52.

Murray M G, Thompson W F. 1980. Rapid isolation of high molecular weight plant DNA. Nucleic Acids Research, 8, 4321–4325.

Peiffer J A, Romay M C, Gore M A, Flint-Garcia S A, Zhang Z, Millard M J, Gardner C A C, McMullen M D, Holland J B, Bradbury P J, Buckler E S. 2014. The genetic architecture of maize height. Genetics, 193, 1337–1356.

Prasad S K, Singh T P. 1986. Heterosis in relation to genetic divergence in maize (Zea mays L.). Euphytica, 35, 919–924.

Qi H, Huang J, Zheng Q, Huang Y, Shao R, Zhu L, Zhang Z, Qiu F, Zhou G, Zheng Y, Yue B. 2013. Identification of combining ability loci for five yield-related traits in maize using a set of testcrosses with introgression lines. Theoretical and Applied Genetics, 126, 369–377.

Qu Z, Li L, Luo J, Wang P, Yu S, Mou T, Zheng X, Hu Z. 2012. QTL mapping of combining ability and heterosis of agronomic traits in rice backcross recombinant inbred lines and hybrid crosses. PLOS ONE, 7, e28463.

Reif J C, Melchinger A E, Xia X C, Warburton M L, Hoisington D A, Vasal S K, Beck D, Bohn M, Frisch M. 2003. Use of SSRs for establishing heterotic groups in subtropical maize. Theoretical and Applied Genetics, 107, 947–957.

Saleh G B, Abdullah D, Anuar A R. 2002. Performance, heterosis and heritability in selected tropical maize single, double and three-way cross hybrids. The Journal of Agricultural Science, 138, 21–28.

Schon C C, Dhillon B S, Utz H F, Melchinger A E. 2010. High congruency of QTL positions for heterosis of grain yield in three crosses of maize. Theoretical and Applied Genetics, 120, 321–332.

Shen G, Zhan W, Chen H, Xing Y. 2014. Dominance and epistasis are the main contributors to heterosis for plant height in rice. Plant Science, S215–S216, 11–18.

Stuber C W, Lincoln S E, Wolff D W, Helentjaris T, Lander E S. 1992. Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers. Genetics, 132, 823–839.

Tang J, Yan J, Ma X, Teng W, Wu W, Dai J, Dhillon B S, Melchinger A E, Li J. 2010. Dissection of the genetic basis of heterosis in an elite maize hybrid by QTL mapping in an immortalized F2 population. Theoretical and Applied Genetics, 120, 333–340.

Thiemann A, Fu J, Seifert F, Grant-Downton R T, Schrag T A, Pospisil H, Frisch M, Melchinger A E, Scholten S. 2014. Genome-wide meta-analysis of maize heterosis reveals the potential role of additive gene expression at pericentromeric loci. BMC Plant Biology, 14, 88.

Tollenaar M. 1989. Genetic improvement in grain yield of commercial maize hybrids grown in ontario from 1959 to 1988. Crop Science, 29, 1365–1371.

Wei X, Lu X, Zhang Z, Xu M, Mao K, Li W, Wei F, Sun P, Tang J. 2016. Genetic analysis of heterosis for maize grain yield and its components in a set of SSSL testcross populations. Euphytica, 210, 181–193.

Wei X, Wang B, Peng Q, Wei F, Mao K, Zhang X, Sun P, Liu Z, Tang J. 2015. Heterotic loci for various morphological traits of maize detected using a single segment substitution lines test-cross population. Molecular Breeding, 35, 94.

Xie C X, Zhang S H, Li M S, Li X H, Hao Z F, Bai L, Zhang D G, Liang Y H. 2007. Inferring genome ancestry and estimating molecular relatedness among 187 Chinese maize inbred lines. Journal of Genetics and Genomics, 34, 738–748.

Zambezi B T, Horner E S, Martin F G. 1986. Inbred lines as testers for general combining ability in maize. Crop Science, 26, 908–910.

Zhou Z, Zhang C, Zhou Y, Hao Z, Wang Z, Zeng X, Di H, Li M, Zhang D, Yong H, Zhang S, Weng J, Li X. 2016. Genetic dissection of maize plant architecture with an ultra-high density bin map based on recombinant inbred lines. BMC Genomics, 17, 178.
[1] GAO Ri-xin, HU Ming-jian, ZHAO Hai-ming, LAI Jin-sheng, SONG Wei-bin.

Genetic dissection of ear-related traits using immortalized F2 population in maize [J]. >Journal of Integrative Agriculture, 2022, 21(9): 2492-2507.

[2] LI Teng, ZHANG Xue-peng, LIU Qing, LIU Jin, CHEN Yuan-quan, SUI Peng. Yield penalty of maize (Zea mays L.) under heat stress in different growth stages: A review[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2465-2476.
[3] CHAO Kai-xiang, WU Cai-juan, LI Juan, WANG Wen-li, WANG Bao-tong, LI Qiang. Genetic analysis of adult plant, quantitative resistance to stripe rust in wheat landrace Wudubaijian in multi-environment trials[J]. >Journal of Integrative Agriculture, 2022, 21(8): 2305-2318.
[4] HUI Jing, LIU Zhi, DUAN Feng-ying, ZHAO Yang, LI Xue-lian, AN Xia, WU Xiang-yu, YUAN Li-xing. Ammonium-dependent regulation of ammonium transporter ZmAMT1s expression conferred by glutamine levels in roots of maize[J]. >Journal of Integrative Agriculture, 2022, 21(8): 2413-2421.
[5] TIAN Xue-liang, LIU Jia-jia, LIU Quan-cheng, XIA Xin-yao, PENG Yong, Alejandra I. HUERTA, YAN Jian-bing, LI Hui, LIU Wen-de. The effects of soil properties, cropping systems and geographic location on soil prokaryotic communities in four maize production regions across China [J]. >Journal of Integrative Agriculture, 2022, 21(7): 2145-2157.
[6] ZHANG Wen-li, LIN Qi-mei, Li Gui-tong, ZHAO Xiao-rong. The ciliate protozoan Colpoda cucullus can improve maize growth by transporting soil phosphates[J]. >Journal of Integrative Agriculture, 2022, 21(3): 855-861.
[7] LI Kun, YANG Xue, LIU Xiao-gang, HU Xiao-jiao, WU Yu-jin, WANG Qi, MA Fei-qian, LI Shu-qiang, WANG Hong-wu, LIU Zhi-fang, HUANG Chang-ling. QTL analysis of the developmental changes in cell wall components and forage digestibility in maize (Zea mays L.)[J]. >Journal of Integrative Agriculture, 2022, 21(12): 3501-3513.
[8] JIA Jia, WANG Huan, CAI Zhan-dong, WEI Ru-qian, HUANG Jing-hua, XIA Qiu-ju, XIAO Xiao-hui, MA Qi-bin, NIAN Hai, CHENG Yan-bo. Identification and validation of stable and novel quantitative trait loci for pod shattering in soybean [Glycine max (L.) Merr.][J]. >Journal of Integrative Agriculture, 2022, 21(11): 3169-3184.
[9] Jules NGANGO, Seungjee HONG. Adoption of small-scale irrigation technologies and its impact on land productivity: Evidence from Rwanda[J]. >Journal of Integrative Agriculture, 2021, 20(8): 2302-2312.
[10] CHEN Bao-qing, Shahar BARAM, DONG Wen-yi, HE Wen-qing, LIU En-ke, YAN Chang-rong. Response of carbon footprint to plastic film mulch application in spring maize production and mitigation strategy[J]. >Journal of Integrative Agriculture, 2021, 20(7): 1933-1943.
[11] WU Yang, BIAN Shao-feng, LIU Zhi-ming, WANG Li-chun, WANG Yong-jun, XU Wen-hua, ZHOU Yu. Drip irrigation incorporating water conservation measures: Effects on soil water–nitrogen utilization, root traits and grain production of spring maize in semi-arid areas[J]. >Journal of Integrative Agriculture, 2021, 20(12): 3127-3142.
[12] WU Jian-zhai, ZHANG Jing, GE Zhang-ming, XING Li-wei, HAN Shu-qing, SHEN Chen, KONG Fan-tao . Impact of climate change on maize yield in China from 1979 to 2016[J]. >Journal of Integrative Agriculture, 2021, 20(1): 289-299.
[13] LU Feng-zhong, YU Hao-qiang, LI Si, LI Wan-chen, ZHANG Zhi-yong, FU Feng-ling. Functional polymorphism among members of abscisic acid receptor family (ZmPYL) in maize[J]. >Journal of Integrative Agriculture, 2020, 19(9): 2165-2176.
[14] TIAN Bei-jing, ZHU Jin-cheng, LIU Xi-wei, HUANG Shou-bing, WANG Pu.
Interacting leaf dynamics and environment to optimize maize sowing date in North China Plain
[J]. >Journal of Integrative Agriculture, 2020, 19(5): 1227-1240.
[15] CHANG Hui-qing, WANG Qi-zhen, LI Zhao-jun, WU Jie, XU Xiao-feng, SHI Zhao-yong.
The effects of calcium combined with chitosan amendment on the bioavailability of exogenous Pb in calcareous soil
[J]. >Journal of Integrative Agriculture, 2020, 19(5): 1375-1386.
No Suggested Reading articles found!