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Mining Novel Constitutive Promoter Elements in Soil Metagenomic Libraries in Escherichia coli

Overview of attention for article published in Frontiers in Microbiology, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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1 blog
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8 X users

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Title
Mining Novel Constitutive Promoter Elements in Soil Metagenomic Libraries in Escherichia coli
Published in
Frontiers in Microbiology, June 2018
DOI 10.3389/fmicb.2018.01344
Pubmed ID
Authors

Cauã A. Westmann, Luana de Fátima Alves, Rafael Silva-Rocha, María-Eugenia Guazzaroni

Abstract

Although functional metagenomics has been widely employed for the discovery of genes relevant to biotechnology and biomedicine, its potential for assessing the diversity of transcriptional regulatory elements of microbial communities has remained poorly explored. Here, we experimentally mined novel constitutive promoter sequences in metagenomic libraries by combining a bi-directional reporter vector, high-throughput fluorescence assays and predictive computational methods. Through the expression profiling of fluorescent clones from two independent soil sample libraries, we have analyzed the regulatory dynamics of 260 clones with candidate promoters as a set of active metagenomic promoters in the host Escherichia coli. Through an in-depth analysis of selected clones, we were able to further explore the architecture of metagenomic fragments and to report the presence of multiple promoters per fragment with a dominant promoter driving the expression profile. These approaches resulted in the identification of 33 novel active promoters from metagenomic DNA originated from very diverse phylogenetic groups. The in silico and in vivo analysis of these individual promoters allowed the generation of a constitutive promoter consensus for exogenous sequences recognizable by E. coli in metagenomic studies. The results presented here demonstrates the potential of functional metagenomics for exploring environmental bacterial communities as a source of novel regulatory genetic parts to expand the toolbox for microbial engineering.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 21%
Student > Bachelor 12 19%
Student > Ph. D. Student 11 18%
Researcher 5 8%
Student > Doctoral Student 2 3%
Other 4 6%
Unknown 15 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 37%
Agricultural and Biological Sciences 9 15%
Immunology and Microbiology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Chemical Engineering 1 2%
Other 4 6%
Unknown 21 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 12 July 2018.
All research outputs
#3,197,797
of 26,150,873 outputs
Outputs from Frontiers in Microbiology
#2,616
of 30,118 outputs
Outputs of similar age
#60,137
of 344,504 outputs
Outputs of similar age from Frontiers in Microbiology
#88
of 710 outputs
Altmetric has tracked 26,150,873 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30,118 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 done particularly well, scoring higher than 91% 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 344,504 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 710 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.