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Metagenomic discovery of novel enzymes and biosurfactants in a slaughterhouse biofilm microbial community

Overview of attention for article published in Scientific Reports, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 news outlet
blogs
2 blogs
twitter
9 X users

Citations

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58 Dimensions

Readers on

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197 Mendeley
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Title
Metagenomic discovery of novel enzymes and biosurfactants in a slaughterhouse biofilm microbial community
Published in
Scientific Reports, June 2016
DOI 10.1038/srep27035
Pubmed ID
Authors

Stephan Thies, Sonja Christina Rausch, Filip Kovacic, Alexandra Schmidt-Thaler, Susanne Wilhelm, Frank Rosenau, Rolf Daniel, Wolfgang Streit, Jörg Pietruszka, Karl-Erich Jaeger

Abstract

DNA derived from environmental samples is a rich source of novel bioactive molecules. The choice of the habitat to be sampled predefines the properties of the biomolecules to be discovered due to the physiological adaptation of the microbial community to the prevailing environmental conditions. We have constructed a metagenomic library in Escherichia coli DH10b with environmental DNA (eDNA) isolated from the microbial community of a slaughterhouse drain biofilm consisting mainly of species from the family Flavobacteriaceae. By functional screening of this library we have identified several lipases, proteases and two clones (SA343 and SA354) with biosurfactant and hemolytic activities. Sequence analysis of the respective eDNA fragments and subsequent structure homology modelling identified genes encoding putative N-acyl amino acid synthases with a unique two-domain organisation. The produced biosurfactants were identified by NMR spectroscopy as N-acyltyrosines with N-myristoyltyrosine as the predominant species. Critical micelle concentration and reduction of surface tension were similar to those of chemically synthesised N-myristoyltyrosine. Furthermore, we showed that the newly isolated N-acyltyrosines exhibit antibiotic activity against various bacteria. This is the first report describing the successful application of functional high-throughput screening assays for the identification of biosurfactant producing clones within a metagenomic library.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Unknown 196 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 19%
Researcher 33 17%
Student > Master 29 15%
Student > Doctoral Student 20 10%
Student > Bachelor 18 9%
Other 20 10%
Unknown 40 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 28%
Biochemistry, Genetics and Molecular Biology 48 24%
Immunology and Microbiology 15 8%
Environmental Science 11 6%
Chemistry 4 2%
Other 16 8%
Unknown 47 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 April 2021.
All research outputs
#1,530,588
of 24,885,505 outputs
Outputs from Scientific Reports
#14,531
of 136,320 outputs
Outputs of similar age
#27,682
of 347,403 outputs
Outputs of similar age from Scientific Reports
#400
of 3,577 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 136,320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done well, scoring higher than 89% 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 347,403 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 3,577 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.