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Network reconstruction and systems analysis of plant cell wall deconstruction by Neurospora crassa

Overview of attention for article published in Biotechnology for Biofuels, September 2017
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Mentioned by

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3 tweeters

Citations

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17 Dimensions

Readers on

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45 Mendeley
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Title
Network reconstruction and systems analysis of plant cell wall deconstruction by Neurospora crassa
Published in
Biotechnology for Biofuels, September 2017
DOI 10.1186/s13068-017-0901-2
Pubmed ID
Authors

Areejit Samal, James P. Craig, Samuel T. Coradetti, J. Philipp Benz, James A. Eddy, Nathan D. Price, N. Louise Glass

Abstract

Plant biomass degradation by fungal-derived enzymes is rapidly expanding in economic importance as a clean and efficient source for biofuels. The ability to rationally engineer filamentous fungi would facilitate biotechnological applications for degradation of plant cell wall polysaccharides. However, incomplete knowledge of biomolecular networks responsible for plant cell wall deconstruction impedes experimental efforts in this direction. To expand this knowledge base, a detailed network of reactions important for deconstruction of plant cell wall polysaccharides into simple sugars was constructed for the filamentous fungus Neurospora crassa. To reconstruct this network, information was integrated from five heterogeneous data types: functional genomics, transcriptomics, proteomics, genetics, and biochemical characterizations. The combined information was encapsulated into a feature matrix and the evidence weighted to assign annotation confidence scores for each gene within the network. Comparative analyses of RNA-seq and ChIP-seq data shed light on the regulation of the plant cell wall degradation network, leading to a novel hypothesis for degradation of the hemicellulose mannan. The transcription factor CLR-2 was subsequently experimentally shown to play a key role in the mannan degradation pathway of N. crassa. Here we built a network that serves as a scaffold for integration of diverse experimental datasets. This approach led to the elucidation of regulatory design principles for plant cell wall deconstruction by filamentous fungi and a novel function for the transcription factor CLR-2. This expanding network will aid in efforts to rationally engineer industrially relevant hyper-production strains.

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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 36%
Researcher 11 24%
Student > Master 6 13%
Other 3 7%
Student > Bachelor 2 4%
Other 3 7%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 40%
Biochemistry, Genetics and Molecular Biology 17 38%
Engineering 2 4%
Earth and Planetary Sciences 1 2%
Environmental Science 1 2%
Other 0 0%
Unknown 6 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 December 2017.
All research outputs
#8,678,346
of 13,858,019 outputs
Outputs from Biotechnology for Biofuels
#610
of 1,082 outputs
Outputs of similar age
#158,535
of 273,654 outputs
Outputs of similar age from Biotechnology for Biofuels
#3
of 8 outputs
Altmetric has tracked 13,858,019 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,082 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 31st percentile – i.e., 31% 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 273,654 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.