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Unravelling the genetic basis of Fusarium resistance in different maize populations

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Proceedings of the LXIII SIGA Annual Congress Napoli, Italy – 10/13 September, 2019

ISBN 978-88-904570-9-8

Oral Communication Abstract – 1.05

UNRAVELLING THE GENETIC BASIS OF FUSARIUM RESISTANCE IN

DIFFERENT MAIZE POPULATIONS

LANUBILE A.*, STAGNATI L.*, SEPTIANI P.**, DELL’ACQUA M.**, BORRELLI V.M.G.**, BUSCONI M.**, BATTILANI P.**, HOLLAND J.B.***, PÈ M.E.**, MAROCCO A.*

*) Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza (Italy)

**) Institute of Life Sciences, Scuola Superiore Sant’Anna, 56127 Pisa (Italy)

***) Department of Crop & Soil Sciences, North Carolina State University, Raleigh, North Carolina 27695 (USA)

QTL mapping, GWAS, Fusarium ear rot, Zea mays

Fungal infection by Fusarium verticillioides is cause of 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.

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