September 22, 2019  |  

Towards map-based cloning of FB_Mfu10: identification of a receptor-like kinase candidate gene underlying the Malus fusca fire blight resistance locus on linkage group 10.

Authors: Emeriewen, Ofere Francis and Richter, Klaus and Piazza, Stefano and Micheletti, Diego and Broggini, Giovanni A L and Berner, Thomas and Keilwagen, Jens and Hanke, Magda-Viola and Malnoy, Mickael and Peil, Andreas

Breeding for resistance against the destructive fire blight disease of apples is the most sustainable strategy to control the menace of this disease, and has become increasingly important in European apple breeding programs. Since most cultivars are susceptible, wild accessions have been explored for resistance with quantitative trait loci detected in a few wild species. Fire blight resistance of Malus fusca was described following phenotypic evaluations with a C-type strain of Erwinia amylovora, Ea222_JKI, and the detection of a major QTL on chromosome 10 (Mfu10) of this crabapple. The stability of the resistance of M. fusca and Mfu10 has been evaluated using two other strains, the highly aggressive Canadian S-type strain-Ea3049, and the avrRpt2EA mutant-ZYRKD3-1, both of which overcome the resistance of Malus ×robusta 5, a wild species accession with an already described fire blight resistance gene. To pave the way for positional cloning of the underlying fire blight resistance gene of M. fusca, we have fine mapped the QTL region on linkage group 10 using 1888 individuals and 23 newly developed molecular markers, thus delimiting the interval of interest to 0.33 cM between markers FR39G5T7xT7y/FR24N24RP and FRMf7358424/FR46H22. Tightly linked SSR markers are suitable for marker-assisted selection in breeding programs. Furthermore, a bacterial artificial chromosome (BAC) clone spanning FB_Mfu10 region was isolated and sequenced. One putative fire blight resistance candidate gene of M. fusca was predicted on the sequence of BAC 46H22 within the resistance region that encodes B-lectin and serine/threonine kinase domains.

Journal: Molecular breeding
DOI: 10.1007/s11032-018-0863-5
Year: 2018

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