Genetic analysis of resistance to six virus diseases in a multiple virus-resistant maize inbred line
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Novel and previously known resistance loci for six phylogenetically diverse viruses were tightly clustered on chromosomes 2, 3, 6 and 10 in the multiply virus-resistant maize inbred line, Oh1VI.
Virus diseases in maize can cause severe yield reductions that threaten crop production and food supplies in some regions of the world. Genetic resistance to different viruses has been characterized in maize populations in diverse environments using different screening techniques, and resistance loci have been mapped to all maize chromosomes. The maize inbred line, Oh1VI, is resistant to at least ten viruses, including viruses in five different families. To determine the genes and inheritance mechanisms responsible for the multiple virus resistance in this line, F1 hybrids, F2 progeny and a recombinant inbred line (RIL) population derived from a cross of Oh1VI and the virus-susceptible inbred line Oh28 were evaluated. Progeny were screened for their responses to Maize dwarf mosaic virus, Sugarcane mosaic virus, Wheat streak mosaic virus, Maize chlorotic dwarf virus, Maize fine streak virus, and Maize mosaic virus. Depending on the virus, dominant, recessive, or additive gene effects were responsible for the resistance observed in F1 plants. One to three gene models explained the observed segregation of resistance in the F2 generation for all six viruses. Composite interval mapping in the RIL population identified 17 resistance QTLs associated with the six viruses. Of these, 15 were clustered in specific regions of chr. 2, 3, 6, and 10. It is unknown whether these QTL clusters contain single or multiple virus resistance genes, but the coupling phase linkage of genes conferring resistance to multiple virus diseases in this population could facilitate breeding efforts to develop multi-virus resistant crops.
KeywordsRecombinant Inbred Line Single Nucleotide Polymorphism Marker Recombinant Inbred Line Population Area Under Disease Progress Curve Resistance QTLs
Recombinant inbred line
Composite interval mapping
Quantitative trait loci
Restricted maximum likelihood
Area under disease progress curve
Logarithm of the odds
We thank William Belote (Dupont, Stine-Haskell Research Center) for providing a P. maidis colony and to J. Todd (USDA-ARS) for maintaining the insect colonies. We also thank Geoff Parker (Ohio State University) for technical assistance with the SSR genotyping and Brayton Orchard (Ohio State University) for providing the Circos scripts for the QTL graph. JLZ thanks the Instituto Nacional Autónomo de Investigaciones Agropecuarias (INIAP), Ecuador for a fellowship to support his Ph.D. study. Salaries and research support were provided in part by State and Federal funds appropriated to the Ohio Agricultural Research and development Center, The Ohio State University.
Conflict of interest
The authors declare no conflict of interest.
- Balzarini M, Milligan S (2003) Best linear unbiased prediction (BLUP) for genotype performance. In: Kang MS (ed) Handbook of Formulas and Software for Plant Geneticists and Breeders. The Haworth Press Inc, New York, pp 181–191Google Scholar
- Cannon EKS, Birkett SM, Braun BL, Kodavali S, Jennewein DL, Yilmaz A, Antonescu V, Antonescu C, Harper LC, Gardiner JM, Schaeffer ML, Campbell DA, Andorf CA, Andorf C, Lisch D, Koch KE, McCarty DR, Quackenbush J, Grotewold E, Lushbough CM, Sen TZ, Lawrence CJ (2011) POPcorn: an online resource providing access to distributed and diverse maize project data. Int J Plant Genomics 2011:Article ID 923035Google Scholar
- Clewer AG, Scarisbrick DH (2001) Practical statistics and experimental design for plant and crop science. Wiley, ChichesterGoogle Scholar
- Coaker GL (2003) Genetic and biochemical characterization of resistance to bacterial canker of tomato caused by Clavibacter michiganensis subsp. michiganensis. Ph.D. Dissertation, The Ohio State UniversityGoogle Scholar
- Cosson P, Schurdi-Levraud V, Le QH, Sicard O, Caballero M, Roux F, Le Gall O, Candresse T, Revers F (2012) The RTM resistance to potyviruses in Arabidopsis thaliana: natural variation of the RTM genes and evidence for the implication of additional genes. PLoS ONE 7:e39169PubMedCentralPubMedCrossRefGoogle Scholar
- Hull R (2002) Matthew’s Plant Virology. Academic Press, San DiegoGoogle Scholar
- Jones E, Chu W, Ayele M, Ho J, Bruggeman E, Yourstone K, Rafalski A, Smith OS, McMullen MD, Bezawada C, Warren J, Babayev J, Basu S, Smith S (2009) Development of single nucleotide polymorphism (SNP) markers for use in commercial maize (Zea mays L.) germplasm. Mol Breed 24:165–176CrossRefGoogle Scholar
- Lapierre H, Signoret PA (2004) Viruses and virus diseases of Poaceae (Gramineae). INRA ED, ParisGoogle Scholar
- Lazaro-Mixteco PE, Dinkova TD (2012) Identification of proteins from cap-binding complexes by mass spectrometry during maize (Zea mays L.) germination. J Mex Chem Soc 56:36–50Google Scholar
- Louie R, Anderson RJ (1993) Evaluation of maize chlorotic dwarf virus resistance in maize with multiple inoculations by Graminella nigrifrons (Homoptera: Cicadellidae). J Econ Entomol 86:1579–1583Google Scholar
- Nault LR, Knoke JK (1981) Maize vectors. In: Knoke JK, Gordon DT, Scott GE (eds) Virus and virus-like diseases of maize in the United States. Southern Cooperative Series Bulletin, Wooster, pp 77–84Google Scholar
- Slykhuis JT (1955) Aceria tulipae Keifer (Acarina: Eriophyidae) in relation to spread of wheat streak mosaic virus. Phytopathol 45:116–128Google Scholar
- Stewart LR, Haque MA, Jones MW, Redinbaugh MG (2013) Response of maize (Zea mays L.) lines carrying Wsm1, Wsm2, and Wsm3 to the potyviruses Johnsongrass mosaic virus and Sorghum mosaic virus. Molecular Breed 31:289–297Google Scholar
- Tao YF, Jiang L, Liu QQ, Zhang Y, Zhang R, Ingvardsen CR, Frei UK, Wang BB, Lai JS, Lubberstedt T, Xu ML (2013) Combined linkage and association mapping reveals candidates for Scmv1, a major locus involved in resistance to sugarcane mosaic virus (SCMV) in maize. BMC Plant Biol 13:162PubMedCrossRefGoogle Scholar
- van Ooijen JW, Voorrips RE (2001) JoinMap version 3.0, software for the calculation of genetic linkage maps. Plant Research Int, The NetherlandsGoogle Scholar
- van Ooijen JW, Boer MP, Jansen RC, Maliepaard C (2002) MapQTL 4.0, Software for the calculation of QTL positions on genetic maps. Plant Research Int, The NetherlandsGoogle Scholar
- Zhang SH, Li XH, Wang ZH, George ML, Jeffers D, Wang FG, Liu XD, Li MS, Yuan LX (2003) QTL mapping for resistance to SCMV in Chinese maize germplasm. Maydica 48:307–312Google Scholar