| Title |
Quorum sensing of Streptococcus mutans is activated by Aggregatibacter actinomycetemcomitans and by the periodontal microbiome
|
|---|---|
| Published in |
BMC Genomics, March 2017
|
| DOI | 10.1186/s12864-017-3618-5 |
| Pubmed ID | |
| Authors |
Szymon P. Szafrański, Zhi-Luo Deng, Jürgen Tomasch, Michael Jarek, Sabin Bhuju, Manfred Rohde, Helena Sztajer, Irene Wagner-Döbler |
| Abstract |
The oral cavity is inhabited by complex microbial communities forming biofilms that can cause caries and periodontitis. Cell-cell communication might play an important role in modulating the physiologies of individual species, but evidence so far is limited. Here we demonstrate that a pathogen of the oral cavity, Aggregatibacter actinomycetemcomitans (A. act.), triggers expression of the quorum sensing (QS) regulon of Streptococcus mutans, a well-studied model organism for cariogenic streptococci, in dual-species biofilms grown on artificial saliva. The gene for the synthesis of the QS signal XIP is essential for this interaction. Transcriptome sequencing of biofilms revealed that S. mutans up-regulated the complete QS regulon (transformasome and mutacins) in the presence of A. act. and down-regulated oxidative stress related genes. A.act. required the presence of S. mutans for growth. Fimbriae and toxins were its most highly expressed genes and up-regulation of anaerobic metabolism, chaperones and iron acquisition genes was observed in co-culture. Metatranscriptomes from periodontal pockets showed highly variable levels of S. mutans and low levels of A. act.. Transcripts of the alternative sigma-factor SigX, the key regulator of QS in S. mutans, were significantly enriched in periodontal pockets compared to single cultures (log2 4.159, FDR ≤0.001, and expression of mutacin related genes and transformasome components could be detected. The data show that the complete QS regulon of S. mutans can be induced by an unrelated oral pathogen and S. mutans may be competent in oral biofilms in vivo. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 1% |
| Unknown | 96 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Student > Master | 16 | 16% |
| Student > Bachelor | 12 | 12% |
| Researcher | 10 | 10% |
| Professor | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 20 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 21% |
| Immunology and Microbiology | 13 | 13% |
| Agricultural and Biological Sciences | 12 | 12% |
| Biochemistry, Genetics and Molecular Biology | 9 | 9% |
| Engineering | 4 | 4% |
| Other | 12 | 12% |
| Unknown | 27 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2018.
All research outputs
#3,952,011
of 22,961,203 outputs
Outputs from BMC Genomics
#1,584
of 10,686 outputs
Outputs of similar age
#70,588
of 309,711 outputs
Outputs of similar age from BMC Genomics
#44
of 201 outputs
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So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% of its peers.
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