Title |
High Diversity of the Saliva Microbiome in Batwa Pygmies
|
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Published in |
PLOS ONE, August 2011
|
DOI | 10.1371/journal.pone.0023352 |
Pubmed ID | |
Authors |
Ivan Nasidze, Jing Li, Roland Schroeder, Jean L. Creasey, Mingkun Li, Mark Stoneking |
Abstract |
We describe the saliva microbiome diversity in Batwa Pygmies, a former hunter-gatherer group from Uganda, using next-generation sequencing of partial 16S rRNA sequences. Microbial community diversity in the Batwa is significantly higher than in agricultural groups from Sierra Leone and the Democratic Republic of Congo. We found 40 microbial genera in the Batwa, which have previously not been described in the human oral cavity. The distinctive composition of the salvia microbiome of the Batwa may have been influenced by their recent different lifestyle and diet. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Netherlands | 1 | <1% |
Germany | 1 | <1% |
United Kingdom | 1 | <1% |
India | 1 | <1% |
Unknown | 114 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 24 | 20% |
Researcher | 22 | 18% |
Student > Master | 20 | 17% |
Student > Bachelor | 10 | 8% |
Other | 6 | 5% |
Other | 23 | 19% |
Unknown | 15 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 41 | 34% |
Biochemistry, Genetics and Molecular Biology | 18 | 15% |
Immunology and Microbiology | 12 | 10% |
Medicine and Dentistry | 12 | 10% |
Social Sciences | 5 | 4% |
Other | 15 | 13% |
Unknown | 17 | 14% |