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Evaluating Streptococcus mutans Strain Dependent Characteristics in a Polymicrobial Biofilm Community

Overview of attention for article published in Frontiers in Microbiology, July 2018
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Title
Evaluating Streptococcus mutans Strain Dependent Characteristics in a Polymicrobial Biofilm Community
Published in
Frontiers in Microbiology, July 2018
DOI 10.3389/fmicb.2018.01498
Pubmed ID
Authors

Yan Zhou, Emma Millhouse, Tracy Shaw, David F. Lappin, Ranjith Rajendran, Jeremy Bagg, Huancai Lin, Gordon Ramage

Abstract

Aim: The purpose of this study was to investigate strain dependent differences of the cariogenic biofilm forming Streptococcus mutans within both simple and complex communities. Methods: A mono-species containing representative S. mutans clinical isolates (caries and non-caries), and a multispecies in vitro caries biofilm model containing Lactobacillus casei, Veillonella dispar, Fusobacterium nucleatum and Actinomyces naeslundii, and either of two representative S. mutans clinical isolates (caries and non-caries), was developed as a comparison model. Compositional analysis of total and live bacteria within biofilms, and transcriptional analysis of biofilm associated virulence factors were evaluated by live/dead PCR and quantitative PCR, respectively. Scanning electron microscopy (SEM) was used to analyze the architecture of biofilm. One-way analysis of variance and t-tests were used to investigate significant differences between independent groups of data. Results: Within a mono-species biofilm, different S. mutans strains responded similarly to one another during biofilm formation in different carbohydrate sources, with sucrose showing the highest levels of biofilm biomass and galactose showing the lowest. Within the polymicrobial biofilm system, compositional analysis of the bacteria within the biofilm showed that S. mutans derived from a caries-free patient was preferentially composed of both total and viable L. casei, whereas S. mutans derived from a caries patient was dominated by both total and viable S. mutans (p < 0.001). Normalized gene expression analysis of srtA, gtfB, ftf, spaP, gbpB, and luxS, showed a general upregulation within the S. mutans dominant biofilm. Conclusion: We were able to demonstrate that individual strains derived from different patients exhibited altered biofilm characteristics, which were not obvious within a simple mono-species biofilm model. Influencing the environmental conditions changed the composition and functionality S. mutans within the polymicrobial biofilm. The biofilm model described herein provides a novel and reproducible method of assessing the impact on the biofilm microbiome upon different environmental influences.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 20%
Researcher 9 14%
Student > Ph. D. Student 6 9%
Student > Master 5 8%
Student > Postgraduate 3 5%
Other 7 11%
Unknown 22 34%
Readers by discipline Count As %
Medicine and Dentistry 15 23%
Immunology and Microbiology 9 14%
Agricultural and Biological Sciences 7 11%
Biochemistry, Genetics and Molecular Biology 6 9%
Engineering 2 3%
Other 3 5%
Unknown 23 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 May 2021.
All research outputs
#13,624,398
of 23,099,576 outputs
Outputs from Frontiers in Microbiology
#10,689
of 25,279 outputs
Outputs of similar age
#169,578
of 329,731 outputs
Outputs of similar age from Frontiers in Microbiology
#364
of 736 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 736 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.