Title |
Characterisation of QTL-linked and genome-wide restriction site-associated DNA (RAD) markers in farmed Atlantic salmon
|
---|---|
Published in |
BMC Genomics, June 2012
|
DOI | 10.1186/1471-2164-13-244 |
Pubmed ID | |
Authors |
Ross D Houston, John W Davey, Stephen C Bishop, Natalie R Lowe, Jose C Mota-Velasco, Alastair Hamilton, Derrick R Guy, Alan E Tinch, Marian L Thomson, Mark L Blaxter, Karim Gharbi, James E Bron, John B Taggart |
Abstract |
Restriction site-associated DNA sequencing (RAD-Seq) is a genome complexity reduction technique that facilitates large-scale marker discovery and genotyping by sequencing. Recent applications of RAD-Seq have included linkage and QTL mapping with a particular focus on non-model species. In the current study, we have applied RAD-Seq to two Atlantic salmon families from a commercial breeding program. The offspring from these families were classified into resistant or susceptible based on survival/mortality in an Infectious Pancreatic Necrosis (IPN) challenge experiment, and putative homozygous resistant or susceptible genotype at a major IPN-resistance QTL. From each family, the genomic DNA of the two heterozygous parents and seven offspring of each IPN phenotype and genotype was digested with the SbfI enzyme and sequenced in multiplexed pools. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 1% |
United Kingdom | 3 | 1% |
United States | 3 | 1% |
Norway | 2 | <1% |
France | 2 | <1% |
Indonesia | 1 | <1% |
Ireland | 1 | <1% |
Chile | 1 | <1% |
Mexico | 1 | <1% |
Other | 7 | 2% |
Unknown | 259 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 90 | 32% |
Student > Ph. D. Student | 63 | 22% |
Student > Master | 27 | 10% |
Student > Postgraduate | 15 | 5% |
Student > Doctoral Student | 14 | 5% |
Other | 45 | 16% |
Unknown | 29 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 192 | 68% |
Biochemistry, Genetics and Molecular Biology | 26 | 9% |
Environmental Science | 8 | 3% |
Veterinary Science and Veterinary Medicine | 4 | 1% |
Computer Science | 2 | <1% |
Other | 13 | 5% |
Unknown | 38 | 13% |