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Boosting LPMO-driven lignocellulose degradation by polyphenol oxidase-activated lignin building blocks

Overview of attention for article published in Biotechnology for Biofuels, May 2017
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
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Mentioned by

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3 tweeters
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1 Facebook page

Citations

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60 Dimensions

Readers on

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143 Mendeley
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Title
Boosting LPMO-driven lignocellulose degradation by polyphenol oxidase-activated lignin building blocks
Published in
Biotechnology for Biofuels, May 2017
DOI 10.1186/s13068-017-0810-4
Pubmed ID
Authors

Matthias Frommhagen, Sumanth Kumar Mutte, Adrie H. Westphal, Martijn J. Koetsier, Sandra W. A. Hinz, Jaap Visser, Jean-Paul Vincken, Dolf Weijers, Willem J. H. van Berkel, Harry Gruppen, Mirjam A. Kabel

Abstract

Many fungi boost the deconstruction of lignocellulosic plant biomass via oxidation using lytic polysaccharide monooxygenases (LPMOs). The application of LPMOs is expected to contribute to ecologically friendly conversion of biomass into fuels and chemicals. Moreover, applications of LPMO-modified cellulose-based products may be envisaged within the food or material industry. Here, we show an up to 75-fold improvement in LPMO-driven cellulose degradation using polyphenol oxidase-activated lignin building blocks. This concerted enzymatic process involves the initial conversion of monophenols into diphenols by the polyphenol oxidase MtPPO7 from Myceliophthora thermophila C1 and the subsequent oxidation of cellulose by MtLPMO9B. Interestingly, MtPPO7 shows preference towards lignin-derived methoxylated monophenols. Sequence analysis of genomes of 336 Ascomycota and 208 Basidiomycota reveals a high correlation between MtPPO7 and AA9 LPMO genes. The activity towards methoxylated phenolic compounds distinguishes MtPPO7 from well-known PPOs, such as tyrosinases, and ensures that MtPPO7 is an excellent redox partner of LPMOs. The correlation between MtPPO7 and AA9 LPMO genes is indicative for the importance of the coupled action of different monooxygenases in the concerted degradation of lignocellulosic biomass. These results will contribute to a better understanding in both lignin deconstruction and enzymatic lignocellulose oxidation and potentially improve the exploration of eco-friendly routes for biomass utilization in a circular economy.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 <1%
Unknown 142 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 22%
Researcher 27 19%
Student > Master 25 17%
Student > Bachelor 15 10%
Professor > Associate Professor 10 7%
Other 22 15%
Unknown 13 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 28%
Agricultural and Biological Sciences 26 18%
Chemistry 13 9%
Engineering 13 9%
Business, Management and Accounting 5 3%
Other 16 11%
Unknown 30 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 August 2017.
All research outputs
#6,506,939
of 11,618,931 outputs
Outputs from Biotechnology for Biofuels
#432
of 891 outputs
Outputs of similar age
#109,945
of 238,483 outputs
Outputs of similar age from Biotechnology for Biofuels
#8
of 18 outputs
Altmetric has tracked 11,618,931 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 891 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 50% 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 238,483 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 51% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.