Title |
A user guide to theBrassica60K Illumina Infinium™ SNP genotyping array
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Published in |
Theoretical and Applied Genetics, February 2017
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DOI | 10.1007/s00122-016-2849-1 |
Pubmed ID | |
Authors |
Annaliese S. Mason, Erin E. Higgins, Rod J. Snowdon, Jacqueline Batley, Anna Stein, Christian Werner, Isobel A. P. Parkin |
Abstract |
The Brassica napus 60K Illumina Infinium™ SNP array has had huge international uptake in the rapeseed community due to the revolutionary speed of acquisition and ease of analysis of this high-throughput genotyping data, particularly when coupled with the newly available reference genome sequence. However, further utilization of this valuable resource can be optimized by better understanding the promises and pitfalls of SNP arrays. We outline how best to analyze Brassica SNP marker array data for diverse applications, including linkage and association mapping, genetic diversity and genomic introgression studies. We present data on which SNPs are locus-specific in winter, semi-winter and spring B. napus germplasm pools, rather than amplifying both an A-genome and a C-genome locus or multiple loci. Common issues that arise when analyzing array data will be discussed, particularly those unique to SNP markers and how to deal with these for practical applications in Brassica breeding applications. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Germany | 2 | 20% |
Mexico | 1 | 10% |
France | 1 | 10% |
Canada | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 6 | 60% |
Members of the public | 4 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 120 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 26% |
Researcher | 21 | 18% |
Student > Master | 13 | 11% |
Other | 7 | 6% |
Student > Doctoral Student | 5 | 4% |
Other | 11 | 9% |
Unknown | 32 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 66 | 55% |
Biochemistry, Genetics and Molecular Biology | 17 | 14% |
Unspecified | 1 | <1% |
Environmental Science | 1 | <1% |
Computer Science | 1 | <1% |
Other | 1 | <1% |
Unknown | 33 | 28% |