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Open Access Highly Accessed Methodology article

Genome-wide SNP identification by high-throughput sequencing and selective mapping allows sequence assembly positioning using a framework genetic linkage map

Jean-Marc Celton1*, Alan Christoffels2, Daniel J Sargent3, Xiangming Xu3 and D Jasper G Rees14

Author Affiliations

1 Biotechnology Department, University of the Western Cape, Private Bag X17, Bellville 7535, South Africa

2 South African National Bioinformatics Institute, University of the Western Cape, Private Bag X17, Bellville 7535, South Africa

3 East Malling Research, New Road, East Malling, Kent ME19 6BJ, UK

4 Agricultural Research Council, Biotechnology Platform, Private Bag X5, Onderstepoort 0110, South Africa

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BMC Biology 2010, 8:155  doi:10.1186/1741-7007-8-155

Published: 30 December 2010

Additional files

Additional file 1:

Supplementary Figure 1. The map positions of simple sequence repeat (SSR) markers identified from Ventura inequalis genome sequence scaffolds on the updated map of Xu et al. [18]. The map was constructed using the methods and data of Xu et al. [18] with the addition of data for 48 SSRs scored in the full progeny. In total, 45 SSRs located to positions on the seven V. inequalis linkage groups, whilst the three remaining markers were unlinked.

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Additional file 2:

Supplementary Table 1. Primer sequences and expected product sizes for 48 single sequence repeats (SSRs) used to locate Venturia inaequalis sequence scaffolds to the linkage map of Xu et al. [18].

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