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The bright side of microbial dark matter: lessons learned from the uncultivated majority.微生物暗物质的光明面:从未培养的大多数中学到的经验教训。
Curr Opin Microbiol. 2016 Jun;31:217-226. doi: 10.1016/j.mib.2016.04.020. Epub 2016 May 16.
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MG-RAST, a Metagenomics Service for Analysis of Microbial Community Structure and Function.MG-RAST,一种用于分析微生物群落结构和功能的宏基因组学服务。
Methods Mol Biol. 2016;1399:207-33. doi: 10.1007/978-1-4939-3369-3_13.
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The Pfam protein families database: towards a more sustainable future.Pfam蛋白质家族数据库:迈向更可持续的未来。
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eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences.蛋nog 4.5:一个具有改进功能注释的层次同源框架,适用于真核、原核和病毒序列。
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Context and the human microbiome.背景与人类微生物组。
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Primer and platform effects on 16S rRNA tag sequencing.引物和平台对16S rRNA标签测序的影响。
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Metagenomics: tools and insights for analyzing next-generation sequencing data derived from biodiversity studies.宏基因组学:用于分析源自生物多样性研究的下一代测序数据的工具与见解。
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Temporal variability is a personalized feature of the human microbiome.时间变异性是人类微生物组的个性化特征。
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Deciphering the human microbiome using next-generation sequencing data and bioinformatics approaches.利用下一代测序数据和生物信息学方法解析人类微生物组。
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利用生物信息学方法探究健康口腔微生物组的多样性。

Probing the diversity of healthy oral microbiome with bioinformatics approaches.

作者信息

Moon Ji-Hoi, Lee Jae-Hyung

机构信息

Department of Maxillofacial Biomedical Engineering, School of Dentistry, and Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul 02447, Korea.

出版信息

BMB Rep. 2016 Dec;49(12):662-670. doi: 10.5483/bmbrep.2016.49.12.164.

DOI:10.5483/bmbrep.2016.49.12.164
PMID:27697111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5346311/
Abstract

The human oral cavity contains a highly personalized microbiome essential to maintaining health, but capable of causing oral and systemic diseases. Thus, an in-depth definition of "healthy oral microbiome" is critical to understanding variations in disease states from preclinical conditions, and disease onset through progressive states of disease. With rapid advances in DNA sequencing and analytical technologies, population-based studies have documented the range and diversity of both taxonomic compositions and functional potentials observed in the oral microbiome in healthy individuals. Besides factors specific to the host, such as age and race/ethnicity, environmental factors also appear to contribute to the variability of the healthy oral microbiome. Here, we review bioinformatic techniques for metagenomic datasets, including their strengths and limitations. In addition, we summarize the interpersonal and intrapersonal diversity of the oral microbiome, taking into consideration the recent large-scale and longitudinal studies, including the Human Microbiome Project. [BMB Reports 2016; 49(12): 662-670].

摘要

人类口腔中含有高度个性化的微生物群,它对维持健康至关重要,但也可能引发口腔疾病和全身性疾病。因此,深入定义“健康口腔微生物群”对于理解从临床前状态到疾病发作及疾病进展状态的疾病状态变化至关重要。随着DNA测序和分析技术的迅速发展,基于人群的研究记录了健康个体口腔微生物群中观察到的分类组成和功能潜力的范围及多样性。除了宿主特异性因素,如年龄和种族/民族外,环境因素似乎也导致了健康口腔微生物群的变异性。在此,我们综述了宏基因组数据集的生物信息学技术,包括其优势和局限性。此外,我们结合近期的大规模纵向研究,包括人类微生物组计划,总结了口腔微生物群的人际和个体内多样性。[《BMB报告》2016年;49(12): 662 - 670]