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Identification of New Factors Modulating Adhesion Abilities of the Pioneer Commensal Bacterium Streptococcus salivarius

Overview of attention for article published in Frontiers in Microbiology, February 2018
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Title
Identification of New Factors Modulating Adhesion Abilities of the Pioneer Commensal Bacterium Streptococcus salivarius
Published in
Frontiers in Microbiology, February 2018
DOI 10.3389/fmicb.2018.00273
Pubmed ID
Authors

Benoit Couvigny, Saulius Kulakauskas, Nicolas Pons, Benoit Quinquis, Anne-Laure Abraham, Thierry Meylheuc, Christine Delorme, Pierre Renault, Romain Briandet, Nicolas Lapaque, Eric Guédon

Abstract

Biofilm formation is crucial for bacterial community development and host colonization byStreptococcus salivarius, a pioneer colonizer and commensal bacterium of the human gastrointestinal tract. This ability to form biofilms depends on bacterial adhesion to host surfaces, and on the intercellular aggregation contributing to biofilm cohesiveness. ManyS. salivariusisolates auto-aggregate, an adhesion process mediated by cell surface proteins. To gain an insight into the genetic factors ofS. salivariusthat dictate host adhesion and biofilm formation, we developed a screening method, based on the differential sedimentation of bacteria in semi-liquid conditions according to their auto-aggregation capacity, which allowed us to identify twelve mutations affecting this auto-aggregation phenotype. Mutations targeted genes encoding (i) extracellular components, including the CshA surface-exposed protein, the extracellular BglB glucan-binding protein, the GtfE, GtfG and GtfH glycosyltransferases and enzymes responsible for synthesis of cell wall polysaccharides (CwpB, CwpK), (ii) proteins responsible for the extracellular localization of proteins, such as structural components of the accessory SecA2Y2 system (Asp1, Asp2, SecA2) and the SrtA sortase, and (iii) the LiaR transcriptional response regulator. These mutations also influenced biofilm architecture, revealing that similar cell-to-cell interactions govern assembly of auto-aggregates and biofilm formation. We found that BglB, CshA, GtfH and LiaR were specifically associated with bacterial auto-aggregation, whereas Asp1, Asp2, CwpB, CwpK, GtfE, GtfG, SecA2 and SrtA also contributed to adhesion to host cells and host-derived components, or to interactions with the human pathogenFusobacterium nucleatum. Our study demonstrates that our screening method could also be used to identify genes implicated in the bacterial interactions of pathogens or probiotics, for which aggregation is either a virulence trait or an advantageous feature, respectively.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 20%
Student > Bachelor 6 17%
Student > Ph. D. Student 5 14%
Researcher 3 9%
Other 3 9%
Other 4 11%
Unknown 7 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 26%
Biochemistry, Genetics and Molecular Biology 6 17%
Immunology and Microbiology 3 9%
Engineering 2 6%
Nursing and Health Professions 1 3%
Other 5 14%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 March 2018.
All research outputs
#15,494,712
of 23,026,672 outputs
Outputs from Frontiers in Microbiology
#15,373
of 25,153 outputs
Outputs of similar age
#211,414
of 331,052 outputs
Outputs of similar age from Frontiers in Microbiology
#391
of 588 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 331,052 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 588 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.