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Development of a genetically programed vanillin-sensing bacterium for high-throughput screening of lignin-degrading enzyme libraries

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, February 2017
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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1 blog
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2 X users

Citations

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30 Dimensions

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76 Mendeley
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Title
Development of a genetically programed vanillin-sensing bacterium for high-throughput screening of lignin-degrading enzyme libraries
Published in
Biotechnology for Biofuels and Bioproducts, February 2017
DOI 10.1186/s13068-017-0720-5
Pubmed ID
Authors

Barindra Sana, Kuan Hui Burton Chia, Sarada S. Raghavan, Balamurugan Ramalingam, Niranjan Nagarajan, Jayasree Seayad, Farid J. Ghadessy

Abstract

Lignin is a potential biorefinery feedstock for the production of value-added chemicals including vanillin. A huge amount of lignin is produced as a by-product of the paper industry, while cellulosic components of plant biomass are utilized for the production of paper pulp. In spite of vast potential, lignin remains the least exploited component of plant biomass due to its extremely complex and heterogenous structure. Several enzymes have been reported to have lignin-degrading properties and could be potentially used in lignin biorefining if their catalytic properties could be improved by enzyme engineering. The much needed improvement of lignin-degrading enzymes by high-throughput selection techniques such as directed evolution is currently limited, as robust methods for detecting the conversion of lignin to desired small molecules are not available. We identified a vanillin-inducible promoter by RNAseq analysis of Escherichia coli cells treated with a sublethal dose of vanillin and developed a genetically programmed vanillin-sensing cell by placing the 'very green fluorescent protein' gene under the control of this promoter. Fluorescence of the biosensing cell is enhanced significantly when grown in the presence of vanillin and is readily visualized by fluorescence microscopy. The use of fluorescence-activated cell sorting analysis further enhances the sensitivity, enabling dose-dependent detection of as low as 200 µM vanillin. The biosensor is highly specific to vanillin and no major response is elicited by the presence of lignin, lignin model compound, DMSO, vanillin analogues or non-specific toxic chemicals. We developed an engineered E. coli cell that can detect vanillin at a concentration as low as 200 µM. The vanillin-sensing cell did not show cross-reactivity towards lignin or major lignin degradation products including vanillin analogues. This engineered E. coli cell could potentially be used as a host cell for screening lignin-degrading enzymes that can convert lignin to vanillin.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Spain 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 18%
Student > Master 13 17%
Student > Bachelor 10 13%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 4 5%
Other 12 16%
Unknown 15 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 29%
Biochemistry, Genetics and Molecular Biology 19 25%
Environmental Science 4 5%
Engineering 4 5%
Chemical Engineering 2 3%
Other 7 9%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 15 May 2017.
All research outputs
#4,191,889
of 25,382,440 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#231
of 1,578 outputs
Outputs of similar age
#78,176
of 424,986 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#10
of 48 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 85% 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 424,986 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 81% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.