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Map Set Name: Rose 94/1 (93/1-117 x 93/1-119) [ Show Only This Set ]
Abbreviated Name: Rose 94/1 [ Download Map Set Data ]
Accession ID: 72 [ View Map Set In Matrix ]
Species: Rosa sp. (Rose) [ View Species Info ]
Map Type: Genetic [ View Map Type Info ]
Map Units: cM  
Published On: 02 February, 2005  
Description: A high-density genetic map with a number of anchor markers has been created to be used as a tool to dissect genetic variation in rose. Linkage maps for the diploid 94/1 population consisting of 88 individuals were constructed using a total of 520 molecular markers including AFLP, SSR, PK, RGA, RFLP, SCAR and morphological markers. Seven linkage groups, putatively corresponding to the seven haploid rose chromosomes, were identified for each parent, spanning 487 cM and 490 cM, respectively. The average length of 70 cM may cover more than 90% of the rose genome. An integrated map was constructed by incorporating the homologous parental linkage groups, resulting in seven linkage groups with a total length of 545 cM. The present linkage map is currently the most advanced map in rose with regard to marker density, genome coverage and with robust markers, giving good perspectives for QTL mapping and marker-assisted breeding in rose. The SSR markers, together with RFLP markers, provide good anchor points for future map alignment studies in rose and related species. Codominantly scored AFLP markers were helpful in the integration of the parental maps.  
Maps:
LG1A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG1B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG2A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG2B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG3A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG3B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG4A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG4B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG5A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG5B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG6A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG6B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG7A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG7B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
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Map Set Name: Rose-DE-F1 [ Show Only This Set ]
Abbreviated Name: Rose-DE-F1 [ Download Map Set Data ]
Accession ID: 41 [ View Map Set In Matrix ]
Species: Rosa sp. (Rose) [ View Species Info ]
Map Type: Genetic [ View Map Type Info ]
Map Units: cM  
Published On: 01 May, 2005  
Description: A segregating progeny set of 96 F1 diploid hybrids (2n=2x=14) between "Blush Noisette" (D10), one of the first seedlings from the original "Champneys' Pink Cluster", and Rosa wichurana (E15), was used to construct a genetic linkage map of the rose genome following a "pseudo-testcross" mapping strategy. A total of 133 markers (130 RAPD, one morphological and two microsatellites) were located on the 14 linkage groups (LGs) of the D10 and E15 maps, covering total map lengths of 388 and 260 cM, respectively. Due to the presence of common biparental markers the homology of four LGs between parental maps (D10-1/E15-1 to D10-4/E15-4) could be inferred. Four horticulturally interesting quantitative traits, flower size (FS), days to flowering (DF), leaf size (LS), and resistance to powdery mildew (PM) were analysed in the progeny in order to map quantitative trait loci (QTLs) controlling these traits. A total of 13 putative QTLs (LOD>3.0) were identified, four for FS, two for flowering time, five for LS, and two for resistance to PM. Possible homologies between QTLs detected in the D10 and E15 maps could be established between Fs1 and Fs3, Fs2 and Fs4, and Ls1 and Ls3. Screening for pairwise epistatic interactions between loci revealed additional, epistatic QTLs (EQTLs) for DF and LS that were not detected in the original QTL analysis. The genetic maps developed in this study will be useful to add new markers and locate genes for important traits in the genus providing a practical resource for marker-assisted selection programs in roses.  
Maps:
D10-1 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
D10-2 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
D10-3 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
D10-4 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
D10-5 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
D10-6 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
D10-7 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
E15-1 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
E15-10 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
E15-2 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
E15-3 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
E15-4 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
E15-8 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
E15-9 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
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Map Set Name: Rose-95/13-39x82/78-1-F1 [ Show Only This Set ]
Abbreviated Name: Rose 97/7 [ Download Map Set Data ]
Accession ID: 74 [ View Map Set In Matrix ]
Species: Rosa sp. (Rose) [ View Species Info ]
Map Type: Genetic [ View Map Type Info ]
Map Units: cM  
Published On: 01 August, 2006  
Description: Podosphaera pannosa, the causal agent of rose powdery mildew, hampers the production of cut roses throughout the world. A major tool to control this disease is the use of resistant plant material. Single resistance genes, like Rpp1, may be overcome within a few years by high risk pathogens like powdery mildews. Durable resistance could be achieved using quantitative resistances. Here we describe mapping of QTLs for resistance to P. pannosa in six different environments (artificial and natural infections in the greenhouse over 3 years and natural infections in the field over 2 years). AFLPs, RGAs and other marker types were used to construct an integrated linkage map for the diploid population 97/7 containing 233 markers. In a selective genotyping procedure, marker segregation was analysed for 170 of the up to 270 phenotyped individuals. We identified seven linkage groups with an average length of 60 cM, corresponding to seven rose chromosomes in the haploid set. Using an LOD significance threshold of 3.9 we detected a total of 28 QTLs for the nine powdery mildew disease scores under analysis. Using the data from artificial inoculations with powdery mildew race 9, three resistance QTLs explaining about 84% of the variability were mapped. Twelve and 15 QTLs were detected for resistance to naturally occurring infections in the greenhouse and in the field, respectively, over several years.  
Maps:
LG1A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG2A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG3A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG4A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG5A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG6A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG7A [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG1B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG2B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG3B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG4B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG5B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG6B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG7B [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
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Cross-references:  
 
Map Set Name: Rose OB x WOB26 [ Show Only This Set ]
Abbreviated Name: Rose OB x WOB26 [ Download Map Set Data ]
Accession ID: 73 [ View Map Set In Matrix ]
Species: Rosa sp. (Rose) [ View Species Info ]
Map Type: Genetic [ View Map Type Info ]
Map Units: cM  
Published On: 01 August, 2007  
Maps:
LG1 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG2 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG3 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG4 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG5 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG6 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG7 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
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Map Set Name: Rose Integrated Consensus Map (ICM) [ Show Only This Set ]
Abbreviated Name: Rose ICM [ Download Map Set Data ]
Accession ID: 71 [ View Map Set In Matrix ]
Species: Rosa sp. (Rose) [ View Species Info ]
Map Type: Genetic [ View Map Type Info ]
Map Units: cM  
Published On: 10 October, 2010  
Description: We have constructed the first integrated consensus map (ICM) for rose, based on the information of four diploid populations and more than 1,000 initial markers. The single population maps are linked via 59 bridge markers, on average 8.4 per linkage group (LG). The integrated map comprises 597 markers, 206 of which are sequence-based, distributed over a length of 530 cM on seven LGs. By using a larger effective population size and therefore higher marker density, the marker order in the ICM is more reliable than in the single population maps. This is supported by a more even marker distribution and a decrease in gap sizes in the consensus map as compared to the single population maps. This unified map establishes a standard nomenclature for rose LGs, and presents the location of important ornamental traits, such as self-incompatibility, black spot resistance (Rdr1), scent production and recurrent blooming. In total, the consensus map includes locations for 10 phenotypic single loci, QTLs for 7 different traits and 51 ESTs or gene-based molecular markers. This consensus map combines for the first time the information for traits with high relevance for rose variety development. It will serve as a tool for selective breeding and marker assisted selection. It will benefit future efforts of the rose community to sequence the whole rose genome and will be useful for synteny studies in the Rosaceae family and especially in the section Rosoideae.  
Maps:
LG1 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG2 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG3 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG4 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG5 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG6 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
LG7 [ Map Viewer ] [ Map Details ] [ Matrix Viewer ] [ Download Map Data ]
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Cross-references:  
 
Map Set Name: Rose Golden Gate x Fragrant Cloud [ Show Only This Set ]
Abbreviated Name: Rose-GGFC [ Download Map Set Data ]
Accession ID: 59 [ View Map Set In Matrix ]
Species: Rosa sp. (Rose) [ View Species Info ]
Map Type: Genetic [ View Map Type Info ]
Map Units: cM  
Published On: 27 March, 2011