Unraveling the human salivary microbiome diversity in Indian populations.
Unraveling the human salivary microbiome diversity in Indian populations.
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DOI：
10.1371/journal.pone.0184515
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Nandineni MR
中科院分区：
文献类型：
--
作者：
Sarkar A;Stoneking M;Nandineni MR
研究唾液微生物组的重要性因其与健康和疾病的联系以及作为补充人类遗传多样性研究的潜在工具而受到强调。虽然已经在世界不同人群中研究了唾液微生物组，但尚未对印度人群进行研究。因此，我们通过对细菌 16S rRNA 基因的可变区（V1 和 V2）进行扩增和测序，分析了来自印度 8 个不同采样地点的 92 名志愿者唾液样本中的微生物组多样性。结果显示，印度人群中细菌极其丰富；我们确定了 165 个细菌属和 785 个独特的操作分类单位 (OTU)，并且在种群之间有大量共享。同一地理区域采样地点的细菌属丰度存在微小但显着的相关性。大多数检测到的核心 OTU 之前也在其他种群中观察到过，但 Solobacter spp.、Lachnoanaerobaculum spp. 和 Lachnoanaerobaculum spp. 除外。和异普氏菌属。据观察，它们是印度人群特有的唾液微生物群的组成部分。重要的是，观察到九个细菌属未在人类口腔微生物组数据库（HOMD）中列出。这些结果凸显了分析印度等代表性不足的人群的重要性。
The importance of studying the salivary microbiome has been highlighted for its connection to health and disease and as a potential tool for supplementing human genetic diversity studies. While the salivary microbiome has been studied in various world populations, Indian populations have not been examined. We therefore analyzed microbiome diversity in saliva samples from 92 volunteers from eight different sampling locations in India by amplifying and sequencing variable regions (V1 and V2) of the bacterial 16S rRNA gene. The results showed immense bacterial richness in Indian populations; we identified 165 bacterial genera and 785 unique Operational Taxonomic Units (OTUs), with substantial sharing among the populations. There were small, but significant correlations in the abundance of bacterial genera in sampling locations from the same geographic region. Most of the core OTUs detected were also observed previously in other populations, but Solobacterium spp., Lachnoanaerobaculum spp. and Alloprevotella spp. were observed to be a component of the saliva microbiome unique to Indian populations. Importantly, nine bacterial genera were observed that were not listed in the Human Oral Microbiome Database (HOMD). These results highlight the importance of analyzing underrepresented populations like those of India.
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使用通用的unifrac距离将微生物组组成与环境协变量相关联。
DOI：
10.1093/bioinformatics/bts342
发表时间：
2012-08-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Chen J;Bittinger K;Charlson ES;Hoffmann C;Lewis J;Wu GD;Collman RG;Bushman FD;Li H
通讯作者：
Li H
影响因子：
64.8
作者：
Arumugam, Manimozhiyan;Raes, Jeroen;Pelletier, Eric;Le Paslier, Denis;Yamada, Takuji;Mende, Daniel R.;Fernandes, Gabriel R.;Tap, Julien;Bruls, Thomas;Batto, Jean-Michel;Bertalan, Marcelo;Borruel, Natalia;Casellas, Francesc;Fernandez, Leyden;Gautier, Laurent;Hansen, Torben;Hattori, Masahira;Hayashi, Tetsuya;Kleerebezem, Michiel;Kurokawa, Ken;Leclerc, Marion;Levenez, Florence;Manichanh, Chaysavanh;Nielsen, H. Bjorn;Nielsen, Trine;Pons, Nicolas;Poulain, Julie;Qin, Junjie;Sicheritz-Ponten, Thomas;Tims, Sebastian;Torrents, David;Ugarte, Edgardo;Zoetendal, Erwin G.;Wang, Jun;Guarner, Francisco;Pedersen, Oluf;de Vos, Willem M.;Brunak, Soren;Dore, Joel;Weissenbach, Jean;Ehrlich, S. Dusko;Bork, Peer
通讯作者：
Bork, Peer
影响因子：
4.5
作者：
Belstrøm D;Holmstrup P;Nielsen CH;Kirkby N;Twetman S;Heitmann BL;Klepac-Ceraj V;Paster BJ;Fiehn NE
通讯作者：
Fiehn NE
影响因子：
3.3
作者：
Horz, H. -P.;Ten Haaf, A.;Conrads, G.
通讯作者：
Conrads, G.
影响因子：
14.9
作者：
Cole JR;Wang Q;Cardenas E;Fish J;Chai B;Farris RJ;Kulam-Syed-Mohideen AS;McGarrell DM;Marsh T;Garrity GM;Tiedje JM
通讯作者：
Tiedje JM