↓ Skip to main content

Relationships between the Regulatory Systems of Quorum Sensing and Multidrug Resistance

Overview of attention for article published in Frontiers in Microbiology, June 2016
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
58 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Relationships between the Regulatory Systems of Quorum Sensing and Multidrug Resistance
Published in
Frontiers in Microbiology, June 2016
DOI 10.3389/fmicb.2016.00958
Pubmed ID
Authors

Gang-Ming Xu

Abstract

Cell-cell communications, known as quorum sensing (QS) in bacteria, involve the signal molecules as chemical languages and the corresponding receptors as transcriptional regulators. In Gram-negative bacteria, orphan LuxR receptors recognize signals more than just acylhomoserine lactones, and modulate interspecies and interkingdom communications. Whereas, in the Gram-positive Streptomyces, pseudo gamma-butyrolactones (GBLs) receptors bind antibiotics other than GBL signals, and coordinate antibiotics biosynthesis. By interacting with structurally diverse molecules like antibiotics, the TetR family receptors regulate multidrug resistance (MDR) by controlling efflux pumps. Antibiotics at subinhibitory concentration may act as signal molecules; while QS signals also have antimicrobial activity at high concentration. Moreover, the QS and MDR systems may share the same exporters to transport molecules. Among these orphan LuxR, pseudo GBL receptors, and MDR regulators, although only with low sequence homology, they have some structure similarity and function correlation. Therefore, perhaps there might be evolutionary relationship and biological relevance between the regulatory systems of QS and MDR. Since the QS systems become new targets for antimicrobial strategy, it would expand our understanding about the evolutionary history of these regulatory systems.

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Student > Master 9 16%
Student > Bachelor 6 10%
Researcher 6 10%
Student > Doctoral Student 4 7%
Other 7 12%
Unknown 12 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 33%
Biochemistry, Genetics and Molecular Biology 16 28%
Immunology and Microbiology 4 7%
Veterinary Science and Veterinary Medicine 1 2%
Chemical Engineering 1 2%
Other 4 7%
Unknown 13 22%
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 06 July 2016.
All research outputs
#18,465,704
of 22,880,230 outputs
Outputs from Frontiers in Microbiology
#19,385
of 24,908 outputs
Outputs of similar age
#247,908
of 326,211 outputs
Outputs of similar age from Frontiers in Microbiology
#401
of 525 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,908 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 9th percentile – i.e., 9% 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 326,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 525 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.