Title |
Global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies
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Published in |
BMC Ecology and Evolution, August 2014
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DOI | 10.1186/s12862-014-0190-3 |
Pubmed ID | |
Authors |
Karsten Henne, Jing Li, Mark Stoneking, Olga Kessler, Hildegard Schilling, Anne Sonanini, Georg Conrads, Hans-Peter Horz |
Abstract |
The genetic diversity of the human microbiome holds great potential for shedding light on the history of our ancestors. Helicobacter pylori is the most prominent example as its analysis allowed a fine-scale resolution of past migration patterns including some that could not be distinguished using human genetic markers. However studies of H. pylori require stomach biopsies, which severely limits the number of samples that can be analysed. By focussing on the house-keeping gene gdh (coding for the glucose-6-phosphate dehydrogenase), on the virulence gene gtf (coding for the glucosyltransferase) of mitis-streptococci and on the 16S-23S rRNA internal transcribed spacer (ITS) region of the Fusobacterium nucleatum/periodonticum-group we here tested the hypothesis that bacterial genes from human saliva have the potential for distinguishing human populations. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 2% |
Unknown | 42 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 23% |
Student > Ph. D. Student | 7 | 16% |
Student > Master | 6 | 14% |
Professor > Associate Professor | 3 | 7% |
Professor | 2 | 5% |
Other | 5 | 12% |
Unknown | 10 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 9 | 21% |
Biochemistry, Genetics and Molecular Biology | 8 | 19% |
Medicine and Dentistry | 6 | 14% |
Nursing and Health Professions | 2 | 5% |
Environmental Science | 1 | 2% |
Other | 5 | 12% |
Unknown | 12 | 28% |