口腔生物医学 ›› 2020, Vol. 11 ›› Issue (4): 242-245.

• 论著 • 上一篇    下一篇

基于宏基因组测序的牙周炎患者口腔微生物群落研究

许悦1,张宇宸2,孙斌3,程政1,周秦2*
  

  1. 1. 西安交通大学口腔医院综合科,陕西 西安 710004;2. 西安交通大学口腔医院种植科,陕西 西安 710004;3. 同济大学附属口腔医院种植科,上海 200072
  • 收稿日期:2020-08-17 修回日期:2020-11-30 出版日期:2020-12-25 发布日期:2021-01-14
  • 通讯作者: 周秦 E-mail:zhouqin0529@126.com
  • 基金资助:
    陕西省科学技术研究发展计划项目

Study on oral microbial community of periodontitis patients based on macrogenomic sequencing

  • Received:2020-08-17 Revised:2020-11-30 Online:2020-12-25 Published:2021-01-14

摘要: 目的:通过宏基因组方法结合高通量测序技术探究牙周炎患者口腔微生物菌群的组成和功能,及其与牙周炎发生发展的相关性。方法:分别采集10名牙周炎患者的唾液和龈下菌斑样本,并提取各样本中微生物总DNA,构建宏基因组文库,进行MGISEQ-2000测序,分别使用Metaphlan2软件、Humann2软件进行生物信息学分析。结果:微生物组成分析结果显示,在属水平上,卟啉单胞菌属在唾液及龈下样本组中的平均相对丰度无统计学差异(P>0.05);普雷沃氏菌属、噬二氧化碳细胞菌属等的相对丰度在两样本组中具有统计学差异(P<0.05)。在种水平上,副流感嗜血杆菌、浅黄奈瑟球菌等在两样本组中相对丰度差异具有统计学意义(P<0.05)。功能分析结果显示,唾液和龈下菌斑样本中贡献菌和序列的相对丰度具有统计学差(P<0.05)。结论:龈下微生物样本对于牙周炎致病菌方面的研究可能更具代表性,利用宏基因组学研究与牙周炎疾病相关的代谢通路值得进一步发展。

关键词: 牙周炎, 宏基因组学, 高通量测序, 口腔微生物

Abstract: Objective: To study the composition and function of the oral microbial flora of patients with periodontitis by metagenomic method combined with high-throughput sequencing technology, and explore the correlation between the composition and function of microorganisms and the occurrence and development of periodontitis. Methods: Saliva and subgingival plaque samples of 10 patients with periodontitis were collected, and total microbial DNA was extracted from each sample to build the macro-genome library, and MGISeq-2000 sequencing was conducted, while bioinformatics analysis was conducted using Metaphlan2 software and Humann2 software respectively. Results: Among the 20 samples, the microbial composition analysis results showed that at the genus level, the average relative abundance of Porphyromonas in the saliva and subgingival sample groups was not statistically different (P>0.05); the relative abundance of the Prevotella and Capnophagocytes were statistically different between the two sample groups (P<0.05). At the species level, the relative abundance difference of Haemophilus parainfluenzae and Neisseria flavus between the two sample groups was statistically significant (P<0.05). The result of functional analysis showed that the relative abundance of the two groups of contributing bacteria and sequences was statistically different (P<0.05). Conclusions: The results suggested that the subgingival microbe samples may be more representative for the study of periodontitis pathogenic bacteria and that the use of metagenomics to study metabolic pathways related to periodontitis disease may deserve further study.

Key words:

periodentitis, ?metagenomics, ?high-throughput sequencing technology, ?oral microbiome