AFLP-based genetic mapping of the " bud-flowering" trait in heather (Calluna vulgaris)

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Behrend, A.; Borchert, T.; Spiller, Monika; Hohe, A.: AFLP-based genetic mapping of the "bud-flowering" trait in heather (Calluna vulgaris). In: BMC Genetics 14 (2013) , 64. DOI: http://dx.doi.org/10.1186/1471-2156-14-64

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/554

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Abstract: 
Background: Calluna vulgaris is one of the most important landscaping plants produced in Germany. Its enormous economic success is due to the prolonged flower attractiveness of mutants in flower morphology, the so-called bud-bloomers. In this study, we present the first genetic linkage map of C. vulgaris in which we mapped a locus of the economically highly desired trait " flower type" .Results: The map was constructed in JoinMap 4.1. using 535 AFLP markers from a single mapping population. A large fraction (40%) of markers showed distorted segregation. To test the effect of segregation distortion on linkage estimation, these markers were sorted regarding their segregation ratio and added in groups to the data set. The plausibility of group formation was evaluated by comparison of the " two-way pseudo-testcross" and the " integrated" mapping approach. Furthermore, regression mapping was compared to the multipoint-likelihood algorithm. The majority of maps constructed by different combinations of these methods consisted of eight linkage groups corresponding to the chromosome number of C. vulgaris.Conclusions: All maps confirmed the independent inheritance of the most important horticultural traits " flower type" , " flower colour" , and " leaf colour". An AFLP marker for the most important breeding target " flower type" was identified. The presented genetic map of C. vulgaris can now serve as a basis for further molecular marker selection and map-based cloning of the candidate gene encoding the unique flower architecture of C. vulgaris bud-bloomers.
License of this version: CC BY 2.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2013
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 157 68.86%
2 image of flag of United States United States 31 13.60%
3 image of flag of China China 11 4.82%
4 image of flag of France France 5 2.19%
5 image of flag of Vietnam Vietnam 3 1.32%
6 image of flag of No geo information available No geo information available 3 1.32%
7 image of flag of Czech Republic Czech Republic 3 1.32%
8 image of flag of Russian Federation Russian Federation 2 0.88%
9 image of flag of India India 2 0.88%
10 image of flag of Bulgaria Bulgaria 2 0.88%
    other countries 9 3.95%

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