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Global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies
BACKGROUND: 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 distinguis...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360258/ https://www.ncbi.nlm.nih.gov/pubmed/25183372 http://dx.doi.org/10.1186/s12862-014-0190-3 |
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author | Henne, Karsten Li, Jing Stoneking, Mark Kessler, Olga Schilling, Hildegard Sonanini, Anne Conrads, Georg Horz, Hans-Peter |
author_facet | Henne, Karsten Li, Jing Stoneking, Mark Kessler, Olga Schilling, Hildegard Sonanini, Anne Conrads, Georg Horz, Hans-Peter |
author_sort | Henne, Karsten |
collection | PubMed |
description | BACKGROUND: 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. RESULTS: Analysis of 10 individuals from each of seven geographic regions, encompassing Africa, Asia and Europe, revealed that the genes gdh and ITS exhibited the highest number of polymorphic sites (59% and 79%, respectively) and most OTUs (defined at 99% identity) were unique to a given country. In contrast, the gene gtf had the lowest number of polymorphic sites (21%), and most OTUs were shared among countries. Most of the variation in the gdh and ITS genes was explained by the high clonal diversity within individuals (around 80%) followed by inter-individual variation of around 20%, leaving the geographic region as providing virtually no source of sequence variation. Conversely, for gtf the variation within individuals accounted for 32%, between individuals for 57% and among geographic regions for 11%. This geographic signature persisted upon extension of the analysis to four additional locations from the American continent. Pearson correlation analysis, pairwise Fst-cluster analysis as well as UniFrac analyses consistently supported a tree structure in which the European countries clustered tightly together and branched with American countries and South Africa, to the exclusion of Asian countries and the Congo. CONCLUSION: This study shows that saliva harbours protein-coding bacterial genes that are geographically structured, and which could potentially be used for addressing previously unresolved human migration events. |
format | Online Article Text |
id | pubmed-4360258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43602582015-03-17 Global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies Henne, Karsten Li, Jing Stoneking, Mark Kessler, Olga Schilling, Hildegard Sonanini, Anne Conrads, Georg Horz, Hans-Peter BMC Evol Biol Research Article BACKGROUND: 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. RESULTS: Analysis of 10 individuals from each of seven geographic regions, encompassing Africa, Asia and Europe, revealed that the genes gdh and ITS exhibited the highest number of polymorphic sites (59% and 79%, respectively) and most OTUs (defined at 99% identity) were unique to a given country. In contrast, the gene gtf had the lowest number of polymorphic sites (21%), and most OTUs were shared among countries. Most of the variation in the gdh and ITS genes was explained by the high clonal diversity within individuals (around 80%) followed by inter-individual variation of around 20%, leaving the geographic region as providing virtually no source of sequence variation. Conversely, for gtf the variation within individuals accounted for 32%, between individuals for 57% and among geographic regions for 11%. This geographic signature persisted upon extension of the analysis to four additional locations from the American continent. Pearson correlation analysis, pairwise Fst-cluster analysis as well as UniFrac analyses consistently supported a tree structure in which the European countries clustered tightly together and branched with American countries and South Africa, to the exclusion of Asian countries and the Congo. CONCLUSION: This study shows that saliva harbours protein-coding bacterial genes that are geographically structured, and which could potentially be used for addressing previously unresolved human migration events. BioMed Central 2014-08-22 /pmc/articles/PMC4360258/ /pubmed/25183372 http://dx.doi.org/10.1186/s12862-014-0190-3 Text en Copyright © 2014 Henne et al.; licensee BioMed Central Ltd http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Henne, Karsten Li, Jing Stoneking, Mark Kessler, Olga Schilling, Hildegard Sonanini, Anne Conrads, Georg Horz, Hans-Peter Global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies |
title | Global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies |
title_full | Global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies |
title_fullStr | Global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies |
title_full_unstemmed | Global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies |
title_short | Global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies |
title_sort | global analysis of saliva as a source of bacterial genes for insights into human population structure and migration studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360258/ https://www.ncbi.nlm.nih.gov/pubmed/25183372 http://dx.doi.org/10.1186/s12862-014-0190-3 |
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