Fungal infection by Fusarium verticillioides causes substantial reductions in maize yield and grain quality worldwide. Developing natural resistance in maize genotypes is an effective way to achieve sustainable control of F. verticillioides in the field, and breeding for resistance may be accelerated by identifying genes and loci responsible for natural disease resistance. Significant advances have been made in the development of transcriptomic, genetic and genomic information for maize, F. verticillioides moulds, and their interactions over recent years. Several quantitative trait loci (QTL) and single-nucleotide polymorphism markers for resistance to Fusarium deriving from QTL mapping and genome-wide association studies have been described in three different maize populations: 1. Bi-parental population; 2. Association mapping panel; 3. Multi-parent Advanced Generation Inter Crosses (MAGIC). To guide the identification of candidate genes within the identified QTL, transcriptomic and sequencing information have been exploited. Promising candidate genes associated with disease resistance and pathogen related-mechanisms at the Fusarium resistant loci have been identified on maize chromosomes 4, 5 and 7. Many of the identified candidates’ genes offer hints to key metabolic pathways that may have a significant effect on reducing Fusarium infection. Measuring Fusarium resistance in open field could confirm and support their direct use in maize breeding either through crosses or genome editing approaches.
Lingua originaleEnglish
Titolo della pubblicazione ospiteThe 3rd MycoKey technological workshop booklet
Numero di pagine1
Stato di pubblicazionePubblicato - 2019
EventoThe 3rd MycoKey technological workshop Prevention and integrated control of mycotoxins in wheat, barley and maize - Zurigo
Durata: 18 giu 201919 giu 2019


WorkshopThe 3rd MycoKey technological workshop Prevention and integrated control of mycotoxins in wheat, barley and maize


  • Fusarium
  • Genome Wide
  • Maize
  • Resistance to
  • Rolled Towel
  • SNPs
  • Seedling


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