Theoretical and Applied Genetics

, Volume 127, Issue 4, pp 867–880 | Cite as

Genetic analysis of resistance to six virus diseases in a multiple virus-resistant maize inbred line

  • Jose Luis Zambrano
  • Mark W. Jones
  • Eric Brenner
  • David M. Francis
  • Adriana Tomas
  • Margaret G. Redinbaugh
Original Paper


Key message

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.


Recombinant Inbred Line Single Nucleotide Polymorphism Marker Recombinant Inbred Line Population Area Under Disease Progress Curve Resistance QTLs 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Recombinant inbred line


Filial 1


Filial 2


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.

Supplementary material

122_2014_2263_MOESM1_ESM.xlsx (145 kb)
Supplementary material 1 (XLSX 144 kb)
122_2014_2263_MOESM2_ESM.pptx (97 kb)
Supplementary material 2 (PPTX 96 kb)


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Copyright information

© Springer-Verlag Berlin Heidelberg (outside the USA) 2014

Authors and Affiliations

  • Jose Luis Zambrano
    • 1
    • 2
  • Mark W. Jones
    • 3
  • Eric Brenner
    • 3
  • David M. Francis
    • 1
  • Adriana Tomas
    • 4
  • Margaret G. Redinbaugh
    • 3
  1. 1.Department of Horticulture and Crop ScienceThe Ohio State University-Ohio Agriculture Research and Development Center (OSU-OARDC)WoosterUSA
  2. 2.Instituto Nacional Autónomo de Investigaciones Agropecuarias (INIAP)Programa Nacional del MaízQuitoEcuador
  3. 3.USDA, Agricultural Research Service, Corn, Soybean and Wheat Quality Research Unit, and Department of Plant PathologyOSU-OARDCWoosterUSA
  4. 4.Genetic DiscoveryDuPont Agricultural BiotechnologyWilmingtonUSA

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