Title |
A high-resolution map of the Nile tilapia genome: a resource for studying cichlids and other percomorphs
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Published in |
BMC Genomics, June 2012
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DOI | 10.1186/1471-2164-13-222 |
Pubmed ID | |
Authors |
Richard Guyon, Michaelle Rakotomanga, Naoual Azzouzi, Jean Pierre Coutanceau, Celine Bonillo, Helena D’Cotta, Elodie Pepey, Lucile Soler, Marguerite Rodier-Goud, Angelique D’Hont, Matthew A Conte, Nikkie EM van Bers, David J Penman, Christophe Hitte, Richard PMA Crooijmans, Thomas D Kocher, Catherine Ozouf-Costaz, Jean Francois Baroiller, Francis Galibert |
Abstract |
The Nile tilapia (Oreochromis niloticus) is the second most farmed fish species worldwide. It is also an important model for studies of fish physiology, particularly because of its broad tolerance to an array of environments. It is a good model to study evolutionary mechanisms in vertebrates, because of its close relationship to haplochromine cichlids, which have undergone rapid speciation in East Africa. The existing genomic resources for Nile tilapia include a genetic map, BAC end sequences and ESTs, but comparative genome analysis and maps of quantitative trait loci (QTL) are still limited. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | <1% |
Germany | 1 | <1% |
Brazil | 1 | <1% |
Cambodia | 1 | <1% |
United States | 1 | <1% |
Unknown | 127 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 23% |
Student > Master | 24 | 18% |
Researcher | 22 | 17% |
Student > Doctoral Student | 9 | 7% |
Student > Bachelor | 8 | 6% |
Other | 22 | 17% |
Unknown | 16 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 72 | 55% |
Biochemistry, Genetics and Molecular Biology | 20 | 15% |
Veterinary Science and Veterinary Medicine | 3 | 2% |
Earth and Planetary Sciences | 2 | 2% |
Computer Science | 2 | 2% |
Other | 7 | 5% |
Unknown | 26 | 20% |