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 325394
Title Toward a marker-dense meiotic map of the potato genome: lessons from linkage group I
Author(s) Isidore, E.; Os, H. van; Andrzejewski, S.; Bakker, J.; Barrena, I.; Bryan, G.J.; Caromel, B.; Eck, H.J. van; Ghareeb, B.; Jong, W. de; Koert, P. van; Lefebvre, V.; Milbourne, D.; Ritter, E.; Rouppe van der Voort, J.N.A.M.; Rousselle-Bourgeois, F.; Vliet, J.M. van; Waugh, R.
Source Genetics 165 (2003). - ISSN 0016-6731 - p. 2107 - 2116.
Department(s) Plant Breeding
Laboratory of Nematology
Publication type Refereed Article in a scientific journal
Publication year 2003
Keyword(s) comprehensive genetic-map - comigrating aflp markers - dna methylation - lycopersicon-esculentum - tomato - plants - resistance - construction - population - strategy
Abstract Segregation data were obtained for 1260 potato linkage group I-specific AFLP loci from a heterozygous diploid potato population. Analytical tools that identified potential typing errors and/or inconsistencies in the data and that assembled cosegregating markers into bins were applied. Bins contain multiple-marker data sets with an identical segregation pattern, which is defined as the bin signature. The bin signatures were used to construct a skeleton bin map that was based solely on observed recombination events. Markers that did not match any of the bin signatures exactly (and that were excluded from the calculation of the skeleton bin map) were placed on the map by maximum likelihood. The resulting maternal and paternal maps consisted of 95 and 101 bins, respectively. Markers derived from EcoRI/MseI, PstI/MseI, and SacI/MseI primer combinations showed different genetic distributions. Approximately three-fourths of the markers placed into a bin were considered to fit well on the basis of an estimated residual "error rate" of 0-3%. However, twice as many PstI-based markers fit badly, suggesting that parental PsiI-site methylation patterns had changed in the population. Recombination frequencies were highly variable across the map. Inert, presumably centromeric, regions caused extensive marker clustering while recombination hotspots (or regions identical by descent) resulted in empty bins, despite the level of marker saturation.
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