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QTL analysis of resistance to powdery mildew in hop (Humulus lupulus L.)

Author:
Henning, J.A., Gent, D.H., Townsend, M.S., Woods, J.L., Hill, S.T., Hendrix, D.
Source:
Euphytica 2017 v.213 no.4 pp. 98
ISSN:
0014-2336
Subject:
Humulus lupulus, Podosphaera, binomial distribution, breeding programs, chromosome mapping, disease resistance, genetic resistance, genotyping by sequencing, linear models, linkage groups, marker-assisted selection, phenotype, plant breeding, powdery mildew, progeny, quantitative trait loci, single nucleotide polymorphism
Abstract:
Hop with powdery mildew [HPM: caused by Podosphaera macularis (Wallr.) U. Braun & S. Takam.] results in significant losses in hop production by reducing yield and quality. One means of increasing yield and quality is the production of resistant hop lines. Breeding for resistance can be significantly improved and accelerated by use of marker-assisted selection. The objective of this preliminary study was to identify QTLs and markers for genetic resistance to HPM. A bi-parental mapping population between the resistant line “Newport” and susceptible line ‘21110M’. Phenotypic data was scored under controlled greenhouse conditions. Significant differences among offspring were observed and disease resistance did not follow a distinct binomial distribution, suggesting quantitative genetic control. Genotyping-by-sequencing resulted in approximately 375 K SNP markers, which were filtered down to 2263 markers mapped to 10 linkage groups. Interval Mapping identified four QTLs with one on linkage group 1 and three located on linkage group 6. Composite interval mapping identified three QTLs, all located on linkage group 6. Mixed linear models identified 15 markers associated with expression of resistance to HPM. Three of these 15 SNPs were also identified in QTL-CIM analysis. Evaluation of the scaffolds containing the significant SNP markers identified seven putative genes—several of which appear involved in disease resistance in other plant species. The SNP markers identified in this study still require validation in unrelated populations prior to implementation in breeding programs.
Agid:
5724828