Forsyth Institute, Cambridge, Massachusetts, USA.
J Bacteriol. 2012 Apr;194(8):2082-95. doi: 10.1128/JB.06328-11. Epub 2012 Feb 10.
Oral bacterial biofilms are highly complex microbial communities with up to 700 different bacterial taxa. We report here the use of metatranscriptomic analysis to study patterns of community gene expression in a multispecies biofilm model composed of species found in healthy oral biofilms (Actinomyces naeslundii, Lactobacillus casei, Streptococcus mitis, Veillonella parvula, and Fusobacterium nucleatum) and the same biofilm plus the periodontopathogens Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans. The presence of the periodontopathogens altered patterns in gene expression, and data indicate that transcription of protein-encoding genes and small noncoding RNAs is stimulated. In the healthy biofilm hypothetical proteins, transporters and transcriptional regulators were upregulated while chaperones and cell division proteins were downregulated. However, when the pathogens were present, chaperones were highly upregulated, probably due to increased levels of stress. We also observed a significant upregulation of ABC transport systems and putative transposases. Changes in Clusters of Orthologous Groups functional categories as well as gene set enrichment analysis based on Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways showed that in the absence of pathogens, only sets of proteins related to transport and secondary metabolism were upregulated, while in the presence of pathogens, proteins related to growth and division as well as a large portion of transcription factors were upregulated. Finally, we identified several small noncoding RNAs whose predicted targets were genes differentially expressed in the open reading frame libraries. These results show the importance of pathogens controlling gene expression of a healthy oral community and the usefulness of metatranscriptomic techniques to study gene expression profiles in complex microbial community models.
口腔细菌生物膜是高度复杂的微生物群落,其中包含多达 700 种不同的细菌分类群。我们在此报告使用宏转录组分析来研究由健康口腔生物膜中发现的物种(奈瑟氏放线菌、干酪乳杆菌、缓症链球菌、小韦荣球菌和核梭杆菌)组成的多物种生物膜模型中的群落基因表达模式。牙周病原体牙龈卟啉单胞菌和伴放线放线杆菌的存在改变了基因表达模式,数据表明蛋白质编码基因和小非编码 RNA 的转录受到刺激。在健康生物膜中,假设蛋白、转运蛋白和转录调节剂上调,而伴侣蛋白和细胞分裂蛋白下调。然而,当病原体存在时,伴侣蛋白高度上调,可能是由于应激水平增加。我们还观察到 ABC 转运系统和假定转座酶的显著上调。基于京都基因与基因组百科全书 (KEGG) 途径的功能类别聚类同源群 (COG) 和基因集富集分析的变化表明,在没有病原体的情况下,仅上调了与运输和次生代谢相关的蛋白质组,而在存在病原体的情况下,与生长和分裂以及大量转录因子相关的蛋白质上调。最后,我们鉴定了几个小非编码 RNA,其预测靶标是在开放阅读框文库中差异表达的基因。这些结果表明病原体控制健康口腔群落基因表达的重要性,以及宏转录组技术在研究复杂微生物群落模型中的基因表达谱的有用性。