Skip to main content
SpringerLink
Log in

Characterization of correlation between grain moisture and ear rot resistance in maize by QTL meta-analysis

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

Ear rot (ER) in maize is a prevalent disease worldwide which reduces yield and grain quality. Grain moisture content (GM) is an important factor which impacts the fungal development of ER species. Our purpose was to identify the genomic regions of maize in the control of GM and ER resistance, and the correlations between two traits. A meta-analysis was carried out using 241 quantitative trait loci (QTL) from 29 studies to propose meta-QTL (MQTL) on a high-density genetic linkage map (IBM 2 neighbors 2008). For GM content, 44 MQTL were identified on all chromosomes except for chromosome 9, while 29 MQTL were found for ER resistance, mainly located on chromosomes 3, 6 and 7. Moreover, 14 overlapping domains for GM MQTL and ER MQTL were observed on chromosomes 2, 3, 6 and 7, mainly focused on five active regions (bins 2.08–2.09, 3.04, 3.06, 6.04–6.06 and 7.03–7.03). There were 13 genes in the overlapping domain which could be divided into five classes: stress-related gene, photosystem-related gene, architecture-related gene, dynamic-related gene and seminal-related gene. It was possibly that the five-class genes were simultaneously related with GM and ER.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Ali ML, Taylor JH, Jie L, Sun G, William M, Kasha KJ, Reid LM, Pauls KP (2005) Molecular mapping of QTLs for resistance to Gibberella ear rot, in corn, caused by Fusarium graminearum. Genome 48:521–533

    Article  PubMed  CAS  Google Scholar 

  • Alwala S (2007) Identification of molecular markers associated with resistance to Aspergillus flavus in maize. Master Thesis, Louisiana State University, Baton Rouge, Louisiana State, United States

  • Arcade A, Labourdette A, Falque M, Mangin B, Chardon F, Charcosset A, Joets J (2004) Biomercator: integrating genetic maps and QTL towards discovery of candidate genes. Bioinformatics 20:2324–2326

    Article  PubMed  CAS  Google Scholar 

  • Austin DF, Lee M, Veldboom LR, Hallauer AR (2000) Genetic mapping in maize with hybrid progeny across testers and generations: grain yield and grain moisture. Crop Sci 40:30–39

    Article  Google Scholar 

  • Beavis WD, Smith OS, Grant D, Fincher R (1994) Identification of quantitative trait loci using a small sample of topcrossed and F4 progeny from maize. Crop Sci 34:882–896

    Article  Google Scholar 

  • Bewley JD, Black M (1994) Seeds. Physiology of development and germination. Plenum Press Pub, New York, pp l71–188

  • Busboom KN, White DG (2004) Inheritance of resistance to aflatoxin production and Aspergillus ear rot of corn from the cross of inbreds B73 and Oh516. Phytopathology 94:1107–1115

    Article  PubMed  CAS  Google Scholar 

  • Capelle V, Remoué C, Moreau L, Reyss A, Mahé A, Massonneau A, Falque M, Charcosset A, Thévenot C, Rogowsky P, Coursol S, Prioul jl (2010) QTLs and candidate genes for desiccation and abscisic acid content in maize kernels. BMC Plant Biol 10:2

    Article  PubMed  Google Scholar 

  • Chardon F, Virlon B, Moreau L, Falque M, Joets J, Decousset L, Murigneux A, Charcosset A (2004) Genetic architecture of flowering time in maize as inferred from quantitative trait loci meta-analysis and synteny conservation with the rice genome. Genetics 168:2169–2185

    Article  PubMed  CAS  Google Scholar 

  • Chungu C, Mather DE, Reid LM, Hamilton RI (1996) Comparison of techniques for inoculating maize silk, kernel and cob tissues with Fusarium graminearum. Plant Dis 80:81–84

    Article  Google Scholar 

  • Cross HZ (1985) A selection procedure for ear drying-rates in early maize. Euphytica 34:409–418

    Article  Google Scholar 

  • Cross HZ, Kabir KM (1989) Evaluation of field dry-down rates in early maize. Crop Sci 29:54–58

    Article  Google Scholar 

  • Cross HZ, Chyle JR, Hammond JJ (1987) Divergent selection for ear moisture in early maize. Crop Sci 27:914–918

    Article  Google Scholar 

  • Darvasi A, Soller M (1997) A simple method to calculate resolving power and confidence interval of QTL map location. Behav Genet 27:125–132

    Article  PubMed  CAS  Google Scholar 

  • Ding JQ, Wang XM, Chander S, Yan JB, Li JS (2008) QTL mapping of resistance to Fusarium ear rot using a RIL population in maize. Mol Breeding 22:395–403

    Article  Google Scholar 

  • Eathington SR, Crosbie TM, Edwards MD, Reiter RS, Bull JK (2007) Molecular markers in a commercial breeding program. Crop Sci 47(S3):S154–S163

    Google Scholar 

  • Falconer DS (1960) Introduction to quantitative genetics. Oliver and Boyd, Edinburgh, UK

    Google Scholar 

  • Frascaroli E, Canè MA, Landi P, Pea G, Gianfranceschi L, Villa M, Morgante M, Pè ME (2007) Classical genetic and QTL analyses of heterosis in a maize hybrid between two elite inbred Lines. Genetics 176:625–644

    Article  PubMed  CAS  Google Scholar 

  • Goffinet B, Gerber S (2000) Quantitative trait loci: a meta-analysis. Genetics 155:463–473

    PubMed  CAS  Google Scholar 

  • Guo B, Slepwe DA, Lu P, Shannon JG, Nguyen HT, Arelli PR (2006) QTLs associated with resistance to soybean cyst nematode in soybean: meta-analysis of QTL locations. Crop Sci 46:595–602

    Article  Google Scholar 

  • Hanocq E, Laperche A, Jaminon O, Lainé AL, Le Gouis J (2007) Most significant genome regions involved in the control of earliness traits in bread wheat, as revealed by QTL meta-analysis. Theor Appl Genet 114:569–584

    Article  PubMed  CAS  Google Scholar 

  • Hart LP, Gendloff E, Rossman EC (1984) Effect of corn genotypes on ear rot infection by Gibberella zeae. Plant Dis 68:296–298

    Google Scholar 

  • Herrera M, Conchello P, Juan T, Estopanan G, Herrera A, Arino A (2010) Fumonisins concentrations in maize as affected by physico-chemical, environmental and agronomical conditions. Maydica 55:121–126

    Google Scholar 

  • Hesseltine CW, Bothast RJ (1977) Mold development in ears of corn from tasseling to harvest. Mycologia 69:328–340

    Article  PubMed  CAS  Google Scholar 

  • Ho JC, McCouch SR, Smith ME (2002) Improvement of hybrid yield by advanced backcross QTL analysis in elite maize. Theor Appl Genet 105:440–448

    Article  PubMed  CAS  Google Scholar 

  • Johnson WH, Lamp BJ, Henry JE, Hall GE (1963) Corn harvesting performance at various dates. Trans ASAE 6:268–272

    Google Scholar 

  • Li J (2008) Inheritance of resistance to Fusarium moniliforme ear rot in maize by near isogenic lines. Master thesis, Henan Agricultural University, Zhengzhou, Henan, China

  • Liu S, Dall MD, Griffey CA, McKendry AL (2009) Meta-analysis of QTL associated with Fusarium head blight resistance in wheat. Crop Sci 49:1955–1968

    Article  CAS  Google Scholar 

  • Löffler M, Schön C, Miedaner T (2009) Revealing the genetic architecture of FHB resistance in hexaploid wheat (Triticum aestivum L.) by QTL meta-analysis. Mol Breed 23:473–488

    Article  Google Scholar 

  • Marasas WFO, van Rensburg SJ, Mirocha CJ (1979) Incidence of Fusarium species and the mycotoxins, deoxynivalenol and zearalenone, in corn produced in esophageal caner areas in Transkei. J Agric Food Chem 27:1108–1112

    Article  PubMed  CAS  Google Scholar 

  • Martin RA, Johnston HW (1982) Effects and control of Fusarium diseases of cereal grains in the Atlantic province. Can J Plant Pathol 4:210–216

    Article  CAS  Google Scholar 

  • Melchinger AE, Utz HF, Schön CC (1998) Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects. Genetics 149:383–403

    PubMed  CAS  Google Scholar 

  • Miller MF, Hughes HD (1910) Cooperative variety tests of corn: variety tests of corn at Columbia, MO. Missouri Agric. Exp. Stn. Bull. 87

  • Moreau L, Charcosset A, Gallais A (2004) Use of trial clustering to study QTL × environment effects for grain yield and related traits in maize. Theor Appl Genet 110:92–105

    Article  PubMed  CAS  Google Scholar 

  • Owen CR (1940) Corn varieties in Mississippi. Mississippi Agric Exp Stn Bull 339

  • Pérez-Brito D, Jeffers D, González-de-León D, Khairallah M, Cortés-Cruz M, Velázquez-Cardelas G, Azpíroz-Rivero S, Srinivasan G (2001) QTL mapping of Fusarium moniliforme ear rot resistance in highland maize, Mexico. Agrociencia 35:181–196

    Google Scholar 

  • Pestka JJ (2007) Deoxynivalenol: toxicity, mechanisms and animal heath risk. Anim Feed Sci Tech 137:283–298

    Article  CAS  Google Scholar 

  • Ragot M, Sisco PH, Hoisington DA, Stuber CW (1995) Molecular-Marker-Mediated characterization of favorable exotic alleles at quantitative trait loci in maize. Crop Sci 35:1306–1315

    Article  CAS  Google Scholar 

  • Reid LM, Hamilton RI, Mather DE (1996) Screening maize for resistance to Gibberella Ear Rot. Agriculture and Agri-Food Canada Technical Bulletin. Publication 196-5E

  • Robertson-Hoyt LA, Jines MP, Balint-Kurti PJ, Kleinschmidt CE, White DG, Payne GA, Maragos CM, Molnár TL, Holland JB (2006) QTL mapping for Fusarium ear rot and fumonisin contamination resistance in two maize populations. Crop Sci 46:1734–1743

    Article  CAS  Google Scholar 

  • Robertson-Hoyt LA, Kleinschmidt CE, White DG, Payne GA, Maragos CM, Holland JB (2007a) Relationships of resistance to Fusarium ear rot and Fumonisin contamination with agronomic performance of maize. Crop Sci 47:1770–1778

    Article  Google Scholar 

  • Robertson-Hoyt LA, Betrán J, Payne GA, White DG, Isakeit T, Maragos CM, Molnár TL, Holland JB (2007b) Relationships among resistances to Fusarium and Aspergillus ear rots and contamination by fumonisin and aflatoxin in maize. Phytopathology 97:311–317

    Article  PubMed  CAS  Google Scholar 

  • Rong J, Feltus FA, Waghmare VN, Pierce GJ, Chee PW, Draye X, Saranga Y, Wright RJ, Wilkins TA, May OL, Smith CW, Gannaway JR, Wendel JF, Paterson AH (2007) Meta-analysis of polyploidy cotton QTL shows unequal contributions of subgenomes to a complex network of genes and gene clusters implicated in lint fiber development. Genetics 176:2577–2588

    Article  PubMed  CAS  Google Scholar 

  • Rosenberg MS, Garrett KA, Su Z, Bowden RL (2004) Meta-analysis in plant pathology: synthesizing research results. Phytopathology 94:1013–1017

    Article  PubMed  CAS  Google Scholar 

  • Sala RG, Andrade FH, Camadro EL, Cerono JC (2006) Quantitative trait loci for grain moisture at harvest and field grain drying rate in maize (Zea mays L.). Theor Appl Genet 112:462–471

    Article  PubMed  CAS  Google Scholar 

  • Stuber CW, Lincoln SE, Wolff DW, Helentjaris T, Lander ES (1992) Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers. Genetics 132:823–839

    PubMed  CAS  Google Scholar 

  • Sutton JC (1982) Epidemiology of wheat head blight and maize ear rot caused by Fusarium graminearum. Can J Plant Pathol 4:195–209

    Article  Google Scholar 

  • Sweeney PM, St Martin SK, Clucas CP (1994) Indirect inbred selection to reduce grain moisture in maize hybrids. Crop Sci 34:391–396

    Article  Google Scholar 

  • Voss KA, Smith GW, Haschek WM (2007) Fumonisins: toxicikinetics, mechanism of action and toxicity. Anim Feed Sci Tech 137:299–325

    Article  CAS  Google Scholar 

  • Wang R (2009) QTL mapping for resistance to Fusarium moniliforme ear rot using recombinant inbred lines in maize. Master thesis, Henan Agricultural University, Zhengzhou, Henan, China

  • Wisser RJ, Qi S, Hulbert SH, Kresovich S, Nelson RJ (2005) Identification and characterization of regions of the rice genome associated with broad-spectrum, quantitative disease resistance. Genetics 169:2277–2293

    Article  PubMed  CAS  Google Scholar 

  • Xiang K, Zhang ZM, Reid LM, Zhu XY, Yuan GS, Pan GT (2010) A meta-analysis of QTL associated with ear rot resistance in maize. Maydica 55:281–290

    Google Scholar 

  • Zhang F, Wan XQ, Pan GT (2007) Molecular mapping of QTL for resistance to maize ear rot caused by Fusarium moniliforme. Acta Agron Sin 33:491–496

    CAS  Google Scholar 

  • Zuber MS, Gundy LJ, Aslin WE (1949) 1949 yield trials with corn hybrids in Missouri. Missouri Agric. Exp. Stn. Bull. 533

Download references

Acknowledgments

The authors gratefully acknowledge Dr. Yu-Ming Wei from Sichuan Agricultural University for excellent advice on QTL meta-analyses. The technical, assistance of T. Woldemariam, C. Voloaca, J. Wu, E. Shahan and E. Coles is gratefully acknowledged.

Author information

Authors and Affiliations

  1. Maize Research Institute, Sichuan Agricultural University, Ya’an, 625014, Sichuan, People’s Republic of China

    Kui Xiang, Zhi-Ming Zhang & Guang-Tang Pan

  2. Eastern Cereal and Oilseed Research Centre, Agricultural & Agri-Food Canada, Ottawa, ON, K1A 0C6, Canada

    Lana M. Reid & Xiao-Yang Zhu

Authors
  1. Kui Xiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lana M. Reid
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhi-Ming Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiao-Yang Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Guang-Tang Pan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Guang-Tang Pan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xiang, K., Reid, L.M., Zhang, ZM. et al. Characterization of correlation between grain moisture and ear rot resistance in maize by QTL meta-analysis. Euphytica 183, 185–195 (2012). https://doi.org/10.1007/s10681-011-0440-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10681-011-0440-z

Keywords

Search

Navigation