Peterson Scott N, Meissner Tobias, Su Andrew I, Snesrud Erik, Ong Ana C, Schork Nicholas J, Bretz Walter A
Infectious Diseases, J. Craig Venter Institute Rockville, MD, USA.
Department of Molecular and Experimental Medicine at the Scripps Research Institute La Jolla, CA, USA.
Front Cell Infect Microbiol. 2014 Aug 14;4:108. doi: 10.3389/fcimb.2014.00108. eCollection 2014.
Dental caries remains a significant public health problem and is considered pandemic worldwide. The prediction of dental caries based on profiling of microbial species involved in disease and equally important, the identification of species conferring dental health has proven more difficult than anticipated due to high interpersonal and geographical variability of dental plaque microbiota. We have used RNA-Seq to perform global gene expression analysis of dental plaque microbiota derived from 19 twin pairs that were either concordant (caries-active or caries-free) or discordant for dental caries. The transcription profiling allowed us to define a functional core microbiota consisting of nearly 60 species. Similarities in gene expression patterns allowed a preliminary assessment of the relative contribution of human genetics, environmental factors and caries phenotype on the microbiota's transcriptome. Correlation analysis of transcription allowed the identification of numerous functional networks, suggesting that inter-personal environmental variables may co-select for groups of genera and species. Analysis of functional role categories allowed the identification of dominant functions expressed by dental plaque biofilm communities, that highlight the biochemical priorities of dental plaque microbes to metabolize diverse sugars and cope with the acid and oxidative stress resulting from sugar fermentation. The wealth of data generated by deep sequencing of expressed transcripts enables a greatly expanded perspective concerning the functional expression of dental plaque microbiota.
龋齿仍然是一个重大的公共卫生问题,在全球范围内被视为一种流行病。基于参与疾病的微生物种类分析来预测龋齿,同样重要的是,由于牙菌斑微生物群存在高度的人际和地理变异性,确定赋予牙齿健康的微生物种类比预期的要困难得多。我们利用RNA测序对来自19对双胞胎的牙菌斑微生物群进行了全基因组表达分析,这些双胞胎在龋齿方面要么一致(患龋活跃或无龋),要么不一致。转录谱分析使我们能够定义一个由近60种微生物组成的功能性核心微生物群。基因表达模式的相似性使我们能够初步评估人类遗传学、环境因素和龋齿表型对微生物群转录组的相对贡献。转录相关性分析使我们能够识别众多功能网络,这表明人际环境变量可能共同选择属和种的群体。功能角色类别分析使我们能够识别牙菌斑生物膜群落表达的主要功能,突出了牙菌斑微生物代谢多种糖类以及应对糖发酵产生的酸和氧化应激的生化优先事项。通过对表达转录本的深度测序产生的大量数据,使我们对牙菌斑微生物群的功能表达有了更广阔的认识。