Title |
Little genetic differentiation as assessed by uniparental markers in the presence of substantial language variation in peoples of the Cross River region of Nigeria
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Published in |
BMC Ecology and Evolution, March 2010
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DOI | 10.1186/1471-2148-10-92 |
Pubmed ID | |
Authors |
Krishna R Veeramah, Bruce A Connell, Naser Ansari Pour, Adam Powell, Christopher A Plaster, David Zeitlyn, Nancy R Mendell, Michael E Weale, Neil Bradman, Mark G Thomas |
Abstract |
The Cross River region in Nigeria is an extremely diverse area linguistically with over 60 distinct languages still spoken today. It is also a region of great historical importance, being a) adjacent to the likely homeland from which Bantu-speaking people migrated across most of sub-Saharan Africa 3000-5000 years ago and b) the location of Calabar, one of the largest centres during the Atlantic slave trade. Over 1000 DNA samples from 24 clans representing speakers of the six most prominent languages in the region were collected and typed for Y-chromosome (SNPs and microsatellites) and mtDNA markers (Hypervariable Segment 1) in order to examine whether there has been substantial gene flow between groups speaking different languages in the region. In addition the Cross River region was analysed in the context of a larger geographical scale by comparison to bordering Igbo speaking groups as well as neighbouring Cameroon populations and more distant Ghanaian communities. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Kuwait | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 4% |
United Kingdom | 1 | 2% |
France | 1 | 2% |
South Africa | 1 | 2% |
Unknown | 50 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 35% |
Researcher | 9 | 16% |
Student > Master | 8 | 15% |
Lecturer | 3 | 5% |
Professor > Associate Professor | 3 | 5% |
Other | 8 | 15% |
Unknown | 5 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 26 | 47% |
Biochemistry, Genetics and Molecular Biology | 9 | 16% |
Linguistics | 3 | 5% |
Arts and Humanities | 2 | 4% |
Computer Science | 2 | 4% |
Other | 6 | 11% |
Unknown | 7 | 13% |