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基于 16S rRNA 测序的属特异性引物评估人舌涂层中的细菌多样性。

Evaluation of the Bacterial Diversity in the Human Tongue Coating Based on Genus-Specific Primers for 16S rRNA Sequencing.

机构信息

State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China.

Key Laboratory of Child Development and Learning Science, Ministry of Education of China, Southeast University, Nanjing 210096, China.

出版信息

Biomed Res Int. 2017;2017:8184160. doi: 10.1155/2017/8184160. Epub 2017 Aug 20.

Abstract

The characteristics of tongue coating are very important symbols for disease diagnosis in traditional Chinese medicine (TCM) theory. As a habitat of oral microbiota, bacteria on the tongue dorsum have been proved to be the cause of many oral diseases. The high-throughput next-generation sequencing (NGS) platforms have been widely applied in the analysis of bacterial 16S rRNA gene. We developed a methodology based on genus-specific multiprimer amplification and ligation-based sequencing for microbiota analysis. In order to validate the efficiency of the approach, we thoroughly analyzed six tongue coating samples from lung cancer patients with different TCM types, and more than 600 genera of bacteria were detected by this platform. The results showed that ligation-based parallel sequencing combined with enzyme digestion and multiamplification could expand the effective length of sequencing reads and could be applied in the microbiota analysis.

摘要

舌象特征是中医理论中疾病诊断的重要标志。作为口腔微生物群的栖息地,舌背细菌已被证明是许多口腔疾病的病因。高通量下一代测序(NGS)平台已广泛应用于细菌 16S rRNA 基因分析。我们开发了一种基于属特异性多重引物扩增和连接测序的微生物组分析方法。为了验证该方法的效率,我们对 6 例不同中医证型的肺癌患者的舌涂层样本进行了深入分析,该平台共检测到 600 多种细菌。结果表明,连接测序与酶切和多扩增相结合,可以扩展测序读长的有效长度,适用于微生物组分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cce/5585543/fbf6948634aa/BMRI2017-8184160.001.jpg

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