|COOPER, JULIAN - University Of Illinois|
|JAMANN, TIFFANY - University Of Illinois|
Submitted to: Crop Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 11/1/2017
Publication Date: 1/1/2018
Citation: Cooper, J., Balint Kurti, P.J., Jamann, T. 2018. Identification of quantitative trait loci for Goss’s wilt of maize caused by Clavibacter michiganensis subsp. nebraskensis. Crop Science. 58:1192-1200.
Interpretive Summary: We identified several genomic regions associated with resistance to Goss’s Wilt, an important disease of maize, using three different mapping populations derived from the same parents.
Technical Abstract: Since its discovery in 1969, Goss’s wilt, a vascular disease caused by the gram-positive bacterium Clavibacter michiganensis subsp. nebraskensis (Cmn), has emerged as one of the top four diseases of maize in the United States and Ontario, Canada. No source of complete resistance has been described for Goss’s wilt, and little is known about the genetic and mechanistic basis of host resistance to Cmn. Our objective was to perform linkage mapping on three populations to uncover genomic regions associated with Goss’s wilt resistance. We evaluated the Intermated B73 x Mo17 (IBM) population and two corresponding disease resistant introgression lines (DRIL) populations: B73 x Mo17 and Mo17 x B73. We identified putative QTL in bins 1.06, 2.06, 7.01, 8.05, and 10.04, both confirming previous findings and identifying novel resistance QTL. The QTL on chromosome 1, designated qGW1.06, was identified in multiple environments and overlaps with a known multiple disease resistance locus. The QTL in bin 8.05 represents a novel region associated with Goss’s wilt resistance. Using the data from this study and previous studies, we found that Goss’s wilt was correlated to northern leaf blight, but not gray leaf spot or southern leaf blight. These results offer a deeper understanding of the genetic basis of resistance to Goss’s wilt in maize that may facilitate 2 breeding for resistance and qGW1.06 is a good candidate for further characterization and use.