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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 and Bioproducts, May 2017
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Title
Boosting LPMO-driven lignocellulose degradation by polyphenol oxidase-activated lignin building blocks
Published in
Biotechnology for Biofuels and Bioproducts, 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.

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The data shown below were collected from the profiles of 3 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 <1%
Unknown 184 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 21%
Researcher 30 16%
Student > Master 28 15%
Student > Bachelor 14 8%
Professor > Associate Professor 11 6%
Other 32 17%
Unknown 31 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 46 25%
Agricultural and Biological Sciences 31 17%
Chemistry 16 9%
Engineering 15 8%
Business, Management and Accounting 4 2%
Other 24 13%
Unknown 49 26%
Attention Score in Context

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
#16,051,091
of 25,382,440 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#882
of 1,578 outputs
Outputs of similar age
#185,259
of 325,190 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#36
of 62 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 325,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.