Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 428056
Title High-Resolution Mapping of Two Broad-Spectrum Late Blight Resistance Genes from Two Wild Species of the Solanum circaeifolium Group
Author(s) Verzaux, E.C.; Arkel, G. van; Vleeshouwers, V.G.A.A.; Vossen, E.A.G. van der; Niks, R.E.; Jacobsen, E.; Vossen, J.H.; Visser, R.G.F.
Source Potato Research 55 (2012)2. - ISSN 0014-3065 - p. 109 - 123.
DOI http://dx.doi.org/10.1007/s11540-012-9213-x
Department(s) Laboratory of Plant Breeding
WUR Plant Breeding
PRI Biodiversity and Breeding
EPS
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) phytophthora-infestans resistance - potato-virus-y - disease resistance - nb-lrr - plants - cisgenesis - strategies - organisms - cloning - genome
Abstract High levels of resistance to Phytophthora infestans in Solanum are predominantly based on the gene-for-gene interaction. Identification of hitherto unknown R genes is essential for future pyramiding approaches. This could be achieved either through classic introgression breeding or through cisgenesis and could lead to sustainable control of late blight. Here, we report on the mapping of Rpi-cap1 and Rpi-qum1, two late blight R genes identified in the wild species Solanum capsicibaccatum and Solanum circaeifolium ssp. quimense, respectively, to very similar positions on the long arm of chromosome 11. Despite the difficulties encountered for marker development, a high-resolution genetic map with cleaved amplified polymorphic sequence markers was constructed. Furthermore, an R gene cluster-directed profiling approach led to the development of markers that closely
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