Literature DB >> 31165222

The genetics of resistance to lettuce drop (Sclerotinia spp.) in lettuce in a recombinant inbred line population from Reine des Glaces × Eruption.

Bullo Erena Mamo1, Ryan J Hayes2,3, Maria José Truco4, Krishna D Puri1, Richard W Michelmore4,5, Krishna V Subbarao1, Ivan Simko6.   

Abstract

KEY MESSAGE: Two QTLs for resistance to lettuce drop, qLDR1.1 and qLDR5.1, were identified. Associated SNPs will be useful in breeding for lettuce drop and provide the foundation for future molecular analysis. Lettuce drop, caused by Sclerotinia minor and S. sclerotiorum, is an economically important disease of lettuce. The association of resistance to lettuce drop with the commercially undesirable trait of fast bolting has hindered the integration of host resistance in control of this disease. Eruption is a slow-bolting cultivar that exhibits a high level of resistance to lettuce drop. Eruption also is completely resistant to Verticillium wilt caused by race 1 of Verticillium dahliae. A recombinant inbred line population from the cross Reine des Glaces × Eruption was genotyped by sequencing and evaluated for lettuce drop and bolting in separate fields infested with either S. minor or V. dahliae. Two quantitative trait loci (QTLs) for lettuce drop resistance were consistently detected in at least two experiments, and two other QTLs were identified in another experiment; the alleles for resistance at all four QTLs originated from Eruption. A QTL for lettuce drop resistance on linkage group (LG) 5, qLDR5.1, was consistently detected in all experiments and explained 11 to 25% of phenotypic variation. On LG1, qLDR1.1 was detected in two experiments explaining 9 to 12% of the phenotypic variation. Three out of four resistance QTLs are distinct from QTLs for bolting; qLDR5.1 is pleiotropic or closely linked with a QTL for early bolting; however, the rate of bolting shows only a small effect on the variance in resistance observed at this locus. The SNP markers linked with these QTLs will be useful in breeding for resistance through marker-assisted selection.

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Year:  2019        PMID: 31165222     DOI: 10.1007/s00122-019-03365-6

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


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