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

Abstract

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.

Identification of significant single nucleotide polymorphisms for resistance to maize rough dwarf disease in elite maize (Zea mays L.) inbred lines

“…For (Bonamico et al 2010;Bonamico et al 2012;Di Renzo et al 2004). The SNPs of PZE-102123986 and PZE-102124518 in bin 2.06 were located near the region as QTLs for maize fine streak virus (MFSV) and maize mosaic virus (MMV) resistance in a previous study (Zambrano et al 2014). These results suggest that some QTLs conferring resistance to multiple viral diseases might be located in these regions, exhibiting multiple disease resistance (MDR) (Ali and Yan 2012).…”

Control of Virus Diseases in Maize

“…By taking the virus' transmission mode into account, high efficiency inoculation conditions can be developed (Louie & Anderson, 1993;Zambrano et al, 2013). This approach has been effective for characterizing resistance QTLs under both greenhouse and field conditions (Table 8.2) ( Jones et al, 2004;Kyetere et al, 1999;Welz et al, 1998;Zambrano, Jones, Brenner, et al, 2014).…”

“…Msv1, a gene that confers resistance to MSV, and QTLs that confer resistance to MRCV and MMV are found clustered on the short arm of chromosome 1 (Bonamico et al, 2012;Di Renzo et al, 2004;Kyetere et al, 1999;Welz et al, 1998;Zambrano, Jones, Brenner, et al, 2014). Msv1 and the MRCV-resistance QTLs account for almost 60% and 30% of the phenotypic variation, respectively.…”

“…2. At the distal end of the chromosome, QTLs for resistance to two maize-infecting fijiviruses and to the unrelated MCDV and MSpV were identified using different population structures and unrelated germplasm (Di Renzo et al, 2004;Luan et al, 2012;Martin et al, 2010;Zambrano, Jones, Brenner, et al, 2014). Overlapping QTLs for the nucleorhabdoviruses MMV and MFSV were identified in the inbred line Oh1VI in bin 2.08 (Zambrano, Jones, Brenner, et al, 2014).…”

Quantitative trait locus analysis for kernel width using maize recombinant inbred lines

“…Maize kernel structure is a crucial trait that defines yield and appearance, but studies on the genetic mechanisms of kernel structure are few compared to those on other agronomic traits, such as yield (Huang et al, 2010;Peng et al, 2013;Xu et al, 2014), plant morphology Yu et al, 2014), disease resistance (Tao et al, 2013;Zambrano et al, 2014;Xu et al, 2014), and drought tolerance (Rahman et al, 2011;Almeida et al, 2013). However, a few studies have conducted QTL mapping for maize kernel width and investigated correlations with kernel structure.…”