Genetic mapping of rust resistance loci in biomass willow

A - Papers appearing in refereed journals

Hanley, S. J., Pei, M. H., Powers, S. J., Ruiz, C., Mallott, M. D., Barker, J. H. A. and Karp, A. 2011. Genetic mapping of rust resistance loci in biomass willow. Tree Genetics & Genomes. 7 (3), pp. 597-608.

AuthorsHanley, S. J., Pei, M. H., Powers, S. J., Ruiz, C., Mallott, M. D., Barker, J. H. A. and Karp, A.

Rust diseases caused by Melampsora spp. represent a major threat to the productivity of short rotation coppice (SRC) willows grown for biomass, causing yield losses of up to 40%. The routine use of fungicide in SRC plantations is not a viable option because of economic and environmental considerations; thus, breeding for rust resistance is a major target for willow breeding programmes. To characterise the genetic basis of rust resistance in willow and provide targets for use in future marker-assisted selections, quantitative trait analyses were performed using a large full-sib mapping population (K8) which segregates for rust resistance and several other important agronomic traits. Rust resistance in field conditions was assessed in three consecutive years. For a more detailed genetic dissection, laboratory inoculation tests using isolates of two distinct and prevalent pathotypes (LET1 and LET5) were also performed. For field-based resistance, a major quantitative resistance locus, designated SRR1 (Salix Rust Resistance 1), was detected in addition to several quantitative trait loci (QTL) of more modest effect. Inoculation test data also supported an important role for SRR1. Specific interactions between particular rust isolates and different QTL were detected, and QTL that only influenced resistance in field conditions were identified. The QTL reported here represent an important basis for the future development of markers for use in willow breeding programmes. As the linkage map for the K8 population is anchored to the Populus trichocarpa genome sequence, a more efficient marker development for future fine-scale mapping and candidate gene identification is possible.

KeywordsSalix; Rust resistance; Melampsora; QTL; SRR1
Year of Publication2011
JournalTree Genetics & Genomes
Journal citation7 (3), pp. 597-608
Digital Object Identifier (DOI)
Open accessPublished as non-open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeCentre for Biofuels and Climate Change (BCC)
Centre for Crop Genetic Improvement (CGI)
Centre for Mathematical and Computational Biology (MCB)
Project: 5057
Project: 4379
Application of statistical methods to predictive biology
Output statusPublished
Publication dates
Online06 Jan 2011
Publication process dates
Accepted10 Dec 2010
Copyright licensePublisher copyright
PublisherSpringer Heidelberg

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