Location: Plant Science Research
2013 Annual Report
1A. Create new genetic stocks to identify favorable alleles for yield improvement derived from exotic maize germplasm.
1B. Develop near-isogenic line (NIL) populations for the identification of disease resistance loci.
1C. Develop new strategies for the analysis of complex trait phenotypes.
2. Identify favorable alleles for disease resistance and agronomic traits in exotic maize germplasm.
2A. Geographic distribution of disease resistance alleles in maize.
2B. Enrichment of novel disease resistance alleles from exotic maize in adapted genetic backgrounds.
2C. Identifying new sources of resistance to Southern leaf blight (SLB), Fusarium ear rot, and fumonisin contamination from the GEM program and the NCSU tropical maize breeding program.
2D. Identify resistance loci from lines with elite levels of multiple disease resistance (MDR).
2E. Identification of disease resistance and yield genes from wild relatives.
3. Identify genes and mechanisms underlying quantitative disease resistance and defense response in maize.
2. Geographic distribution of disease resistance alleles in maize. Enrichment of novel disease resistance alleles from exotic maize in adapted genetic backgrounds. Identifying new sources of resistance to Southern leaf blight (SLB), Fusarium ear rot, and fumonisin contamination from the GEM program and the NCSU tropical maize breeding program. Identify resistance loci from lines with elite levels of multiple disease resistance (MDR). Identification of disease resistance and yield genes from wild relatives.
3. Select candidate genes and order at least 50 insertional mutant lines. Screen plants for desired insertional events and self. Identify P. sorghi isolate that induces HR on the line W22.
We have analyzed a number of distinct data sets to identify genes associated with resistance to southern corn leaf blight disease. Genes with repeatable associations across experiments are undergoing functional evaluation using insertional mutant analysis, gene expression analysis, and resequencing. We have begun to evaluate the NIL populatins developed for the identification of disease resistance loci. Several lines have been identified with enhanced resistance to multiple diseases.
Willcox, M., Davis, G., Warburton, M.L., Windham, G.L., Abbas, H.K., Betran, J., Holland, J.B., Williams, W.P. 2013. Confirming quantitative trait loci for aflatoxin resistance from Mp313E in different genetic backgrounds. Molecular Breeding. 32(1):15-26.
Olukolu, B., Negeri, A., Dhawan, R., Venkata, B.P., Sharma, P., Garg, A., Gachomo, E., Marla, S., Chu, K., Hasan, A., Ji, J., Chintamanani, S., Green, J., Holland, J.B., Wisser, R., Shyu, C., Johal, G., Balint Kurti, P.J. 2013. A connected set of genes associated with programmed cell death implicated in controlling the hypersensitive response in maize. Genetics. 193:609-620.
Veturi, Y., Kump, K., Walsh, E., Ott, O., Poland, J.A., Kolkman, J., Nelson, R., Balint Kurti, P.J., Holland, J.B., Wisser, R. 2012. Multivariate mixed linear model analysis of longitudinal data: an information-rich statistical technique for analyzing disease resistance data. Phytopathology. 102(11):1017-1025.
Hizbai, B., Gardner, K., Wight, C., Danda, R., Molnar, S., Johnson, D., Fregeau-Reid, J., Yan, W., Rossnagel, B., Holland, J.B., Tinker, N. 2012. Quantitative trait loci affecting oil content, oil composition, and other agronomically important traits in Oat (Avena sativa L.). The Plant Genome. 5:164-175.
Hung, H.Y., Holland, J.B. 2012. Diallel analysis of resistance to fusarium ear rot and fumonisin contamination in maize. Crop Science. 52:2173-2181.
Green, J., Appel, H., Rehrig, E., Harnsomburana, J., Chang, J., Chintamanani, S., Balint Kurti, P.J., Shyu, C. 2012. PhenoPhyte: A flexible affordable method to quantify visual 2D phenotypes. Plant Methods. 8:45.
Benavente, L., Ding, X., Redinbaugh, M.G., Nelson, R., Balint Kurti, P.J. 2012. Virus-induced gene silencing in diverse maize lines using the Brome Mosaic virus-based silencing vector. Maydica. 57(3/4):206-214.