↓ Skip to main content

RsmW, Pseudomonas aeruginosa small non-coding RsmA-binding RNA upregulated in biofilm versus planktonic growth conditions

Overview of attention for article published in BMC Microbiology, July 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
90 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
RsmW, Pseudomonas aeruginosa small non-coding RsmA-binding RNA upregulated in biofilm versus planktonic growth conditions
Published in
BMC Microbiology, July 2016
DOI 10.1186/s12866-016-0771-y
Pubmed ID
Authors

Christine L. Miller, Manuel Romero, S. L. Rajasekhar Karna, Tsute Chen, Stephan Heeb, Kai P. Leung

Abstract

Biofilm development, specifically the fundamentally adaptive switch from acute to chronic infection phenotypes, requires global regulators and small non-coding regulatory RNAs (sRNAs). This work utilized RNA-sequencing (RNA-seq) to detect sRNAs differentially expressed in Pseudomonas aeruginosa biofilm versus planktonic state. A computational algorithm was devised to detect and categorize sRNAs into 5 types: intergenic, intragenic, 5'-UTR, 3'-UTR, and antisense. Here we report a novel RsmY/RsmZ-type sRNA, termed RsmW, in P. aeruginosa up-transcribed in biofilm versus planktonic growth. RNA-Seq, 5'-RACE and Mfold predictions suggest RsmW has a secondary structure with 3 of 7 GGA motifs located on outer stem loops. Northern blot revealed two RsmW binding bands of 400 and 120 bases, suggesting RsmW is derived from the 3'-UTR of the upstream hypothetical gene, PA4570. RsmW expression is elevated in late stationary versus logarithmic growth phase in PB minimal media, at higher temperatures (37 °C versus 28 °C), and in both gacA and rhlR transposon mutants versus wild-type. RsmW specifically binds to RsmA protein in vitro and restores biofilm production and reduces swarming in an rsmY/rsmZ double mutant. PA4570 weakly resembles an RsmA/RsmN homolog having 49 % and 51 % similarity, and 16 % and 17 % identity to RsmA and RsmN amino acid sequences, respectively. PA4570 was unable to restore biofilm and swarming phenotypes in ΔrsmA deficient strains. Collectively, our study reveals an interesting theme regarding another sRNA regulator of the Rsm system and further unravels the complexities regulating adaptive responses for Pseudomonas species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 1%
Germany 1 1%
Unknown 88 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Student > Master 15 17%
Researcher 10 11%
Student > Doctoral Student 9 10%
Student > Bachelor 9 10%
Other 10 11%
Unknown 19 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 26%
Agricultural and Biological Sciences 20 22%
Immunology and Microbiology 13 14%
Medicine and Dentistry 4 4%
Veterinary Science and Veterinary Medicine 2 2%
Other 4 4%
Unknown 24 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 November 2017.
All research outputs
#6,816,146
of 22,881,154 outputs
Outputs from BMC Microbiology
#754
of 3,195 outputs
Outputs of similar age
#115,200
of 363,105 outputs
Outputs of similar age from BMC Microbiology
#22
of 95 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,195 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 75% 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 363,105 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.