META-ANALYSIS OF QTL STUDIES FOR RESISTANCE TO FUNGI AND VIRUSES IN MAIZE

BALZARINI M. BRUNO C. RUEDA CALDERÓN M.; ROSSI E.A., RUIZ M., BONAMICO N.C.

Foz do Iguazú

Congreso; International Congress of genetics; 2018

Sociedade brasileira de genética

Several studies report quantitative trait loci (QTL) for diseaseresistance. Discovering communalities among them is crucial. First, weperformed a systematic review (SR) by searching multiple databases with the term(?Zea mays? or maize or corn),((resistance or tolerance) and ?disease?), (QTL or loci or ?Quantitative TraitLoci?). Fewstudies on QTL for resistance to bacteria were found, but several related tofungi and viruses resistance.  Second, we performed a meta-analysis (MA) aimed at identifying maizechromosomes carrying major-effect QTL for resistance to diseases caused by fungiand viruses. Overall 110 primary studies with data on genetic effects of fungaland viral resistance, 1080 QTL were reported. For each chromosome, reported QTLwere counted, and a global odd ratio of carrying major effect loci was calculatedaveraging findings across studies. Although, the greatest number of QTL was reportedin chromosome 1, the odds of finding major-effect loci for fungi and viruses resistancein chromosome 10 were twice as high as the odds of finding those loci in therest of the genome. Others chromosomes also have high odds of significant QTL fordisease resistance (chromosomes 6, 5, 1 and 2), but the major-effect QTLreported for resistance to fungal diseases were not located on the samechromosomes as those with virus resistance. Major-effect loci on chromosome 3were not agreed among studies. Our results summarize published findings and strengtheninformation about key genome regions for maize breeding against yield lossescaused by fungi and viruses.