↓ Skip to main content

Discovery of enzymes for toluene synthesis from anoxic microbial communities

Overview of attention for article published in Nature Chemical Biology, March 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
15 news outlets
blogs
5 blogs
twitter
35 X users
patent
1 patent
facebook
2 Facebook pages

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
124 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
Discovery of enzymes for toluene synthesis from anoxic microbial communities
Published in
Nature Chemical Biology, March 2018
DOI 10.1038/s41589-018-0017-4
Pubmed ID
Authors

Harry R. Beller, Andria V. Rodrigues, Kamrun Zargar, Yu-Wei Wu, Avneesh K. Saini, Renee M. Saville, Jose H. Pereira, Paul D. Adams, Susannah G. Tringe, Christopher J. Petzold, Jay D. Keasling

Abstract

Microbial toluene biosynthesis was reported in anoxic lake sediments more than three decades ago, but the enzyme catalyzing this biochemically challenging reaction has never been identified. Here we report the toluene-producing enzyme PhdB, a glycyl radical enzyme of bacterial origin that catalyzes phenylacetate decarboxylation, and its cognate activating enzyme PhdA, a radical S-adenosylmethionine enzyme, discovered in two distinct anoxic microbial communities that produce toluene. The unconventional process of enzyme discovery from a complex microbial community (>300,000 genes), rather than from a microbial isolate, involved metagenomics- and metaproteomics-enabled biochemistry, as well as in vitro confirmation of activity with recombinant enzymes. This work expands the known catalytic range of glycyl radical enzymes (only seven reaction types had been characterized previously) and aromatic-hydrocarbon-producing enzymes, and will enable first-time biochemical synthesis of an aromatic fuel hydrocarbon from renewable resources, such as lignocellulosic biomass, rather than from petroleum.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 30%
Researcher 24 19%
Student > Master 12 10%
Student > Bachelor 9 7%
Professor 6 5%
Other 18 15%
Unknown 18 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 23%
Biochemistry, Genetics and Molecular Biology 29 23%
Chemistry 19 15%
Immunology and Microbiology 5 4%
Environmental Science 5 4%
Other 16 13%
Unknown 21 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 159. 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 09 November 2022.
All research outputs
#253,102
of 25,204,906 outputs
Outputs from Nature Chemical Biology
#79
of 3,352 outputs
Outputs of similar age
#5,911
of 338,205 outputs
Outputs of similar age from Nature Chemical Biology
#4
of 55 outputs
Altmetric has tracked 25,204,906 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,352 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done particularly well, scoring higher than 97% 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 338,205 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 98% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.