| Effect of periodontal pathogens on the metatranscriptome of a healthy multispecies biofilm model. | |
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MedLine Citation:
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PMID: 22328675 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Jorge Frias-Lopez; Ana Duran-Pinedo |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2012-02-10 |
Journal Detail:
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Title: Journal of bacteriology Volume: 194 ISSN: 1098-5530 ISO Abbreviation: J. Bacteriol. Publication Date: 2012 Apr |
Date Detail:
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Created Date: 2012-03-30 Completed Date: 2012-06-04 Revised Date: 2013-02-08 |
Medline Journal Info:
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Nlm Unique ID: 2985120R Medline TA: J Bacteriol Country: United States |
Other Details:
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Languages: eng Pagination: 2082-95 Citation Subset: IM |
Affiliation:
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Forsyth Institute, Cambridge, Massachusetts, USA. jfrias@forsyth.org |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Bacteria
/
classification,
genetics,
metabolism* Bacterial Proteins / metabolism Bacteriological Techniques Biofilms* Computational Biology Gene Expression Profiling Gene Expression Regulation, Bacterial / physiology* Humans Periodontal Diseases / microbiology* Polymerase Chain Reaction / methods RNA, Bacterial / genetics, metabolism Species Specificity Transcriptome |
| Chemical | |
Reg. No./Substance:
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0/Bacterial Proteins; 0/RNA, Bacterial |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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