摘要
目的:通过16S rRNA高通量测序技术探索有龋儿童口腔微生物的结构特点.方法:纳入30名全身健康的3～5岁儿童为研究对象,根据乳牙龋失补牙面指数分为无龋组(caries free,CF组,15名)和低龄儿童龋组(early childhood caries,ECC组,15名),采集2组儿童的唾液及牙菌斑样本,在Illumina Miseq测序平台高通量测序,并通过生物信息学分析方法,采用SPSS 23.0软件包,对样本微生物群落结构及多样性进行差异性分析.结果:ECC组微生物多样性显著低于CF组.在门水平,放线菌门(Actinobateria)在ECC组唾液样本中丰度较高;厚壁菌门(Firmicutes)在CF组菌斑样本中丰度较高.在属水平,劳特普罗菌属(Lautropia)在CF组唾液样本中丰度较高,心杆菌属(Cardiobacterium)、孪生球菌属(Gemella)和颗粒链球菌属(Granulicatella)在CF组菌斑样本中丰度较高;罗氏菌属(Rothia)在ECC组唾液样本中丰度较高,棒状杆菌属(Corynebacterium)在ECC组菌斑样本中丰度较高.结论:无龋与有龋儿童唾液和菌斑微生物群落种类和组成存在显著差异;特定微生物与ECC的发生相关,对特定微生物的筛选,有助于对ECC进行早期预测及防治.
Abstract
PURPOSE:To study the structural characteristics of oral microorganisms in children with caries by 16S rRNA high-throughput sequencing technology.METHODS:Thirty healthy children aged 3-5 years were enrolled as subjects.According to the index of dmfs,they were divided into caries-free(CF)group(15)and early childhood caries(ECC)group(15).To compare the differences in bacterial community structure,samples of saliva and dental plaque were collected,and high-throughput sequencing was conducted using the Illumina Miseq sequencing platform.Bioinformatics analysis was used to analyze the difference of microbial community structure and diversity with SPSS 23.0 software package.RESULTS:Mi-crobial diversity in ECC group was significantly lower than CF group.At phylum level,Actinobateria was more abundant in saliva samples of ECC group,while Firmicutes was more abundant in plaque samples of CF group.At genus level,the abun-dance of Lautropia of CF group was higher in saliva samples while Cardiobacterium,Gemella and Granulicatella were abun-dant in plaque samples.The abundance of Rothia of ECC group was higher in saliva samples and Corynebacterium was abundant of ECC group in plaque samples.CONCLUSIONS:There are significant differences in the species and composi-tion of microbial community in saliva and plaque of children with or without caries.Specific microorganisms are related to the occurrence of ECC,and screening specific microorganisms is helpful for early prediction and prevention of ECC.
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