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

Authors :
Areejit Samal
James P. Craig
Samuel T. Coradetti
J. Philipp Benz
James A. Eddy
Nathan D. Price
N. Louise Glass
Source :
Biotechnology for Biofuels, Vol 10, Iss 1, Pp 1-21 (2017)
Publication Year :
2017
Publisher :
BMC, 2017.

Abstract

Abstract Background 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. Results 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. Conclusions 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.

Details

Language :
English
ISSN :
17546834
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Biotechnology for Biofuels
Publication Type :
Academic Journal
Accession number :
edsdoj.bf0b1babf0494295a47e7a498a987898
Document Type :
article
Full Text :
https://doi.org/10.1186/s13068-017-0901-2