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用于理解口腔微生物群的新一代测序方法。

Next-generation sequencing approaches to understanding the oral microbiome.

作者信息

Zaura E

机构信息

Department of Preventive Dentistry, Academic Centre for Dentistry Amsterdam, University of Amsterdam and VU University Amsterdam, Netherlands.

出版信息

Adv Dent Res. 2012 Sep;24(2):81-5. doi: 10.1177/0022034512449466.

Abstract

Until recently, the focus in dental research has been on studying a small fraction of the oral microbiome-so-called opportunistic pathogens. With the advent of next-generation sequencing (NGS) technologies, researchers now have the tools that allow for profiling of the microbiomes and metagenomes at unprecedented depths. The major advantages of NGS are the high throughput and the fact that specific taxa do not need to be targeted. The relatively low cost and the availability of sequencing facilities have contributed to nearly exponential growth of NGS datasets. The quality and interpretation of the NGS data could be undermined at numerous steps-from sample collection, storage, and DNA extraction to PCR bias, sequencing errors, choice of algorithms for data processing, and statistical analyses. Making sense out of this data deluge is and will be the major challenge. The community analyses based on systems ecology principles will bring us closer to an understanding of the underlying forces that facilitate the stability (or imbalance) of the microbiome. The next logical step will take us beyond the microbiome. The integration of bacterial, viral, fungal "meta-omes" such as the meta-transcriptome, meta-proteome, and meta-metabolome, together with the host as a major co-factor, should be the ultimate goal in unraveling the complexity of the oral interactome.

摘要

直到最近,牙科研究的重点一直是研究口腔微生物群中一小部分所谓的机会致病菌。随着下一代测序(NGS)技术的出现,研究人员现在拥有了能够以前所未有的深度对微生物群和宏基因组进行分析的工具。NGS的主要优点是高通量以及无需针对特定分类群。相对较低的成本和测序设施的可用性促成了NGS数据集几乎呈指数级增长。从样本采集、储存、DNA提取到PCR偏差、测序错误、数据处理算法的选择以及统计分析,NGS数据的质量和解读在众多步骤中都可能受到影响。从这海量数据中梳理出意义现在是且将一直是重大挑战。基于系统生态学原理的群落分析将使我们更接近了解促进微生物群稳定性(或失衡)的潜在力量。接下来合乎逻辑的一步将引领我们超越微生物群。将细菌、病毒、真菌的“元组学”(如元转录组、元蛋白质组和元代谢组)与作为主要共同因素的宿主整合起来,应该是揭示口腔相互作用组复杂性的最终目标。

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