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Research paper | Open Access

Comparative QTL analysis of maize seed artificial aging between an immortalized F2 population and its corresponding RILs

Bin Wanga,b,1, Zhanhui Zhanga,1, Zhiyuan Fua, Zonghua Liua, Yanmin Hua, Jihua Tanga( )
State Key Laboratory of Wheat and Maize Crop Science / Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou 450002, China
College of Agronomy, Henan University of Science and Technology, Luoyang 471023, China

1 Bin Wang and Zhanhui Zhang contributed equally to this work.

Peer review under responsibility of Crop Science Society of China and Institute of Crop Science, CAAS.

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Abstract

Seed aging decreases the quality and vigor of crop seeds, thereby causing substantial agricultural and economic losses in crops. To identify genetic differences in seed aging between homozygotes and heterozygotes in maize, the seeds of a set of recombinant inbred lines (RILs) and an immortalized F2 (IF2) population were subjected to artificial aging treatments for 0, 2, 3, and 4 days under 45 ℃ and 85% relative humidity and seed vigor was then evaluated in a field experiment. Seed vigor of all entries tested decreased sharply with longer aging treatment and seed vigor decreased more slowly in heterozygotes than in homozygotes. Forty-nine QTL were detected for four measured seed vigor traits in the RIL (28 QTL) and IF2 (21 QTL) populations. Only one QTL, qGP5, was detected in both populations, indicating that the genes involved in anti-aging mechanisms differed between inbred lines and hybrids. Several QTL were identified to be responsible for multiple seed vigor traits simultaneously in the RIL and IF2 populations under artificial aging conditions. These QTL may include major genes for seed vigor or seed aging. QTL qVI4b and qGE3a detected in the RIL population coincided with genes ZmLOX1 and ZmPLD1 in the same respective chromosomal regions. These QTL would be useful for screening for anti-aging genes in maize breeding.

Keywords

QTL mappingMaize (Zea mays L.)Seed vigorArtificial agingSeed storage

References

[1]

E. Nambara, H. Nonogaki, Seed biology in the 21st century: perspectives and new directions, Plant Cell Physiol. 53 (2012) 1–4.
Crossref Google Scholar
[2]

M.L. Gupta, D.L. George, I.G.M.A. Parwata, Effect of harvest time and drying on supersweet sweet corn seed quality, Seed Sci. Technol. 33 (2005) 167–176.
Crossref Google Scholar
[3]

A.B. Rodo, F.J. Marcos, Onion seed vigor in relation to plant growth and yield, Hortic. Bras. 31 (2003) 220-206.
Crossref Google Scholar
[4]

M.B. McDonald, Seed deterioration: physiology, repair and assessment, Seed Sci. Technol. 27 (1999) 177–237.
Google Scholar
[5]

L. Ventura, M. Dona, A. Macovei, D. Carbonera, A. Buttafava, A. Mondoni, G. Rossi, A. Balestrazzi, Understanding the molecular pathways associated with seed vigor, Plant Physiol. Biochem. 60 (2012) 196–206.
Crossref Google Scholar
[6]

R.H. Ellis, E.H. Roberts, Improved equations for the prediction of seed longevity, Ann. Bot. 45 (1980) 13–30.
Crossref Google Scholar
[7]

M. Horbowicz, R.L. Obendorf, Seed desiccation tolerance and storability: Dependence on flatulence-producing oligosaccharides and cyclitols-review and survey, Seed Sci. Res. 4 (1994) 385–400.
Crossref Google Scholar
[8]
D.A. Priestley, Seed Ageing, Cornell University Press, Ithaca, New York, 1986.
[9]
H.W. Pritchard, J.B. Dickie, Predicting seed longevity: the use and abuse of seed viability equations, in: R.D. Smith, J.B. Dickie, S.H. Linington, H.W. Pritchard, R.J. Probert (Eds.), Seed conservation: turning science into practice, Royal Botanic Gardens, Kew, London 2003, pp. 655–721.
[10]

C. Walters, L.M. Wheeler, J.M. Grotenhuis, Longevity of seeds stored in a genebank: species characteristics, Seed Sci. Res. 15 (2005) 1–21.
Crossref Google Scholar
[11]

J. Liu, Z. Fu, H. Xie, Y. Hu, Z. Liu, L. Duan, S. Xu, J. Tang, Identification of QTLs for maize seed vigor at three stages of seed maturity using a RIL population, Euphytica 178 (2010) 127–135.
Crossref Google Scholar
[12]

S.P. Groot, A.A. Surki, R.C. de Vos, J. Kodde, Seed storage at elevated partial pressure of oxygen, a fast method for analysing seed ageing under dry conditions, Ann. Bot. 110 (2012) 1149–1159.
Crossref Google Scholar
[13]

L. Oge, C. Broyart, B. Collet, B. Godin, D. Jallet, G. Bourdais, D. Job, P. Grappin, Protein damage and repair controlling seed vigor and longevity, Methods Mol. Biol. 773 (2011) 369–384.
Crossref Google Scholar
[14]

A. Banerjee, M.M. Choudhuri, B. Ghosh, Changes in nucleotide content and histone phosphorylation of aging rice seeds, Z. Pflanzenphysiol. 102 (1981) 33–36.
Crossref Google Scholar
[15]

C. Walters, Understanding the mechanisms and kinetics of seed ageing, Seed Sci. Res. 8 (1998) 223–244.
Crossref Google Scholar
[16]

U.M. Murthy, P.P. Kumar, W. Sun, Mechanisms of seed ageing under different storage conditions for Vigna radiata (L.) Wilczek: lipid peroxidation, sugar hydrolysis, Maillard reactions and their relationship to glass state transition, J. Exp. Bot. 54 (2003) 1057–1067.
Crossref Google Scholar
[17]
ISTA, International rules for seed testing 2012, The International Seed testing Association (ISTA), Bassersdorf, Switzerland, 2012.
[18]

C.M. McDonough, C.D. Floyd, R.D. Waniska, L.W. Rooney, Effect of accelerated aging on maize, sorghum, and sorghum meal, J. Cereal Sci. 39 (2004) 351–361.
Crossref Google Scholar
[19]

H. Sveinsdottir, F. Yan, Y. Zhu, T. Peiter-Volk, S. Schubert, Seed ageing-induced inhibition of germination and post-germination root growth is related to lower activity of plasma membrane H+-ATPase in maize roots, J. Plant Physiol. 166 (2009) 128–135.
Crossref Google Scholar
[20]

K. Miura, Y. Lin, M. Yano, T. Nagamine, Mapping quantitative trait loci controlling seed longevity in rice (Oryza sativa L.), Theor. Appl. Genet. 104 (2002) 981–986.
Crossref Google Scholar
[21]

S.P. Devaiah, X. Pan, Y. Hong, M. Roth, R. Welti, X. Wang, Enhancing seed quality and viability by suppressing phospholipase D in Arabidopsis, Plant J. 50 (2007) 950–957.
Crossref Google Scholar
[22]

J. Li, Y. Zhang, Z. Yu, Y. Wang, Y. Yang, Z. Liu, J. Jiang, M. Song, Y. Wu, Superior storage stability in low lipoxygenase maize varieties, J. Stored Prod. Res. 43 (2007) 530–534.
Crossref Google Scholar
[23]

S. Landjeva, U. Lohwasser, A. Börner, Genetic mapping within the wheat D genome reveals QTL for germination, seed vigour and longevity, and early seedling growth, Euphytica 171 (2009) 129–143.
Crossref Google Scholar
[24]

Z. Wang, J. Wang, Y. Bao, F. Wang, H. Zhang, Quantitative trait loci analysis for rice seed vigor during the germination stage, J. Zhejiang Univ. Sci. B 11 (2010) 958–964 (in Chinese with English abstract).
Crossref Google Scholar
[25]

X. Wu, H. Liu, W. Wang, S. Chen, X. Hu, C. Li, Proteomic analysis of seed viability in maize, Acta Physiol. Plant. 33 (2010) 181–191.
Crossref Google Scholar
[26]

X. Xin, X. Lin, Y. Zhou, X. Chen, X. Liu, X. Lu, Proteome analysis of maize seeds: the effect of artificial ageing, Physiol. Plant. 143 (2011) 126–138.
Crossref Google Scholar
[27]

H. Chen, P. Chu, Y. Zhou, Y. Li, J. Liu, Y. Ding, E.W. Tsang, L. Jiang, K. Wu, S. Huang, Overexpression of AtOGG1, a DNA glycosylase/AP lyase, enhances seed longevity and abiotic stress tolerance in Arabidopsis, J. Exp. Bot. 63 (2012) 4107–4121.
Crossref Google Scholar
[28]

J. Lee, R. Welti, M. Roth, W.T. Schapaugh, J. Li, H.N. Trick, Enhanced seed viability and lipid compositional changes during natural ageing by suppressing phospholipase Dalpha in soybean seed, Plant Biotechnol. J. 10 (2012) 164–173.
Crossref Google Scholar
[29]

K. Nakabayashi, M. Bartsch, Y. Xiang, E. Miatton, S. Pellengahr, R. Yano, M. Seo, W.J. Soppe, The time required for dormancy release in Arabidopsis is determined by DELAY OF GERMINATION1 protein levels in freshly harvested seeds, Plant Cell 24 (2012) 2826–2838.
Crossref Google Scholar
[30]

T. Presterl, M. Ouzunova, W. Schmidt, E.M. Moller, F.K. Rober, C. Knaak, K. Ernst, P. Westhoff, H.H. Geiger, Quantitative trait loci for early plant vigour of maize grown in chilly environments, Theor. Appl. Genet. 114 (2007) 1059–1070.
Crossref Google Scholar
[31]

M.A. Gore, J.M. Chia, R.J. Elshire, Q. Sun, E.S. Ersoz, B.L. Hurwitz, J.A. Peiffer, M.D. McMullen, G.S. Grills, J. Ross-Ibarra, D.H. Ware, E.S. Buckler, A first-generation haplotype map of maize, Science 326 (2009) 1115–1117.
Crossref Google Scholar
[32]
USDA Foreign Agricultural Service, World agricultural production: Corn area, yield, and production, http://www.fas.usda.gov/psdonlines/2013.
[33]

J. Hua, Y. Xing, C. Xu, X. Sun, S. Yu, Q. Zhang, Genetic dissection of an elite rice hybrid revealed that heterozygotes are not always advantageous for performance, Genetics 162 (2002) 1885–1895.
Crossref Google Scholar
[34]

J. Hua, Y. Xing, W. Wu, C. Xu, X. Sun, S. Yu, Q. Zhang, Single-locus heterotic effects and dominance by dominance interactions can adequately explain the genetic basis of heterosis in an elite rice hybrid, Proc. Natl. Acad. Sci. U. S. A. 100 (2003) 2574–2579.
Crossref Google Scholar
[35]
SPSS Inc, IBM SPSS Statistics 19.0 core system user’s guide, IBM Corporation, New York, 2010.
[36]

Z. Zeng, Precision mapping of quantitative trait loci, Genetics 136 (1994) 1457–1468.
Crossref Google Scholar
[37]

Z. Liu, H. Ji, Z. Cui, X. Wu, L. Duan, X. Feng, J. Tang, QTL detected for grain-filling rate in maize using a RIL population, Mol. Breed. 27 (2010) 25–36.
Crossref Google Scholar
[38]

J. Tang, J. Yan, X. Ma, W. Teng, W. Wu, J. Dai, B.S. Dhillon, A.E. Melchinger, J. Li, Dissection of the genetic basis of heterosis in an elite maize hybrid by QTL mapping in an immortalized F2 population, Theor. Appl. Genet. 120 (2010) 333–340.
Crossref Google Scholar
[39]

C.W. Stuber, M.D. Edwards, J.F. Wendel, Molecular marker-facilitated investigations of quantitative trait loci in maize: Ⅱ. Factors influencing yield and its component traits, Crop Sci. 27 (1987) 639–648.
Crossref Google Scholar
[40]

R.J. Probert, M.I. Daws, F.R. Hay, Ecological correlates of ex situ seed longevity: a comparative study on 195 species, Ann. Bot. 104 (2009) 57–69.
Crossref Google Scholar
[41]

A.B. Bruce, The Mendelian theory of heredity and the augmentation of vigor, Science 32 (1910) 627–628.
Crossref Google Scholar
[42]

D.F. Jones, Dominance of linked factors as a means of accounting for heterosis, Genetics 2 (1917) 466–479.
Crossref Google Scholar
[43]

E.M. East, Heterosis, Genetics 21 (1936) 375–397.
Crossref Google Scholar
[44]

E. Frascaroli, M.A. Cane, P. Landi, G. Pea, L. Gianfranceschi, M. Villa, M. Morgante, M.E. Pe, Classical genetic and quantitative trait loci analyses of heterosis in a maize hybrid between two elite inbred lines, Genetics 176 (2007) 625–644.
Crossref Google Scholar
[45]

T. Guo, N. Yang, H. Tong, Q. Pan, X. Yang, J. Tang, J. Wang, J. Li, J. Yan, Genetic basis of grain yield heterosis in an “immortalized F2” maize population, Theor. Appl. Genet. 127 (2014) 2149–2158.
Crossref Google Scholar
[46]

C. Jompuk, Y. Fracheboud, P. Stamp, J. Leipner, Mapping of quantitative trait loci associated with chilling tolerance in maize (Zea mays L.) seedlings grown under field conditions, J. Exp. Bot. 56 (2005) 1153–1163.
Crossref Google Scholar
[47]

F. Qiu, Y. Zheng, Z. Zhang, S. Xu, Mapping of QTL associated with waterlogging tolerance during the seedling stage in maize, Ann. Bot. 99 (2007) 1067–1081.
Crossref Google Scholar
[48]

A.M. Limami, C. Rouillon, G. Glevarec, A. Gallais, B. Hirel, Genetic and physiological analysis of germination efficiency in maize in relation to nitrogen metabolism reveals the importance of cytosolic glutamine synthetase, Plant Physiol. 130 (2002) 1860–1870.
Crossref Google Scholar
[49]

A. Hund, Y. Fracheboud, A. Soldati, E. Frascaroli, S. Salvi, P. Stamp, QTL controlling root and shoot traits of maize seedlings under cold stress, Theor. Appl. Genet. 109 (2004) 618–629.
Crossref Google Scholar
[50]

S. Trachsel, R. Messmer, P. Stamp, N. Ruta, A. Hund, QTLs for early vigor of tropical maize, Mol. Breed. 25 (2010) 91–103.
Crossref Google Scholar
The Crop Journal
Volume 4 Issue 1,
February 2016
Pages 30-39
DOI: 10.1016/j.cj.2015.07.004
Cite this article:
Wang B, Zhang Z, Fu Z, et al. Comparative QTL analysis of maize seed artificial aging between an immortalized F2 population and its corresponding RILs. The Crop Journal, 2016, 4(1): 30-39. https://doi.org/10.1016/j.cj.2015.07.004

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Received: 18 May 2015
Revised: 22 July 2015
Accepted: 06 August 2015
Published: 15 August 2015
© 2015 Crop Science Society of China and Institute of Crop Science, CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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