Title |
Spatial and temporal variation in population genetic structure of wild Nile tilapia (Oreochromis niloticus) across Africa
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Published in |
BMC Genomic Data, December 2011
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DOI | 10.1186/1471-2156-12-102 |
Pubmed ID | |
Authors |
Etienne Bezault, Patricia Balaresque, Aboubacar Toguyeni, Yves Fermon, Hitoshi Araki, Jean-François Baroiller, Xavier Rognon |
Abstract |
Reconstructing the evolutionary history of a species is challenging. It often depends not only on the past biogeographic and climatic events but also the contemporary and ecological factors, such as current connectivity and habitat heterogeneity. In fact, these factors might interact with each other and shape the current species distribution. However, to what extent the current population genetic structure reflects the past and the contemporary factors is largely unknown. Here we investigated spatio-temporal genetic structures of Nile tilapia (Oreochromis niloticus) populations, across their natural distribution in Africa. While its large biogeographic distribution can cause genetic differentiation at the paleo-biogeographic scales, its restricted dispersal capacity might induce a strong genetic structure at micro-geographic scales. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 120 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 28 | 23% |
Student > Ph. D. Student | 24 | 20% |
Student > Master | 17 | 14% |
Student > Doctoral Student | 14 | 11% |
Student > Bachelor | 4 | 3% |
Other | 18 | 15% |
Unknown | 17 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 74 | 61% |
Biochemistry, Genetics and Molecular Biology | 9 | 7% |
Environmental Science | 3 | 2% |
Earth and Planetary Sciences | 3 | 2% |
Immunology and Microbiology | 2 | 2% |
Other | 7 | 6% |
Unknown | 24 | 20% |