Evidence map›Paper›PMID 26573537›Full record

ArticleBMC systems biology2015

Deciphering the signaling mechanisms of the plant cell wall degradation machinery in Aspergillus oryzae.

D B R K Gupta Udatha, Evangelos Topakas, Margarita Salazar, Lisbeth Olsson, Mikael R Andersen, Gianni Panagiotou

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 5 countries.

D B R K Gupta UdathaThe Norwegian Structural Biology Centre, Department of Chemistry, Faculty of Science and Technology, University of Tromsø, N-9037, Tromsø, Norway. d.b.r.k.g.udatha@ibv.uio.no.
Evangelos TopakasBiotechnology Laboratory, School of Chemical Engineering, National Technical University of Athens, 5 Iroon Polytechniou Str., Zografou Campus, Athens, 15780, Greece. vtopakas@chemeng.ntua.gr.
Margarita SalazarDepartment of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden. margarita.salazar@chalmers.se.
Lisbeth OlssonDepartment of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden. lisbeth.olsson@chalmers.se.
Mikael R AndersenDepartment of Systems Biology, Technical University of Denmark, Søltofts plads 223, DK-2800, Lyngby, Denmark. mr@bio.dtu.dk.
Gianni PanagiotouSchool of Biological Sciences, The University of Hong Kong, Kadoorie Biological Sciences Building, Hong Kong, China. gipa@hku.hk.
Chalmers University of Technology · SENational Technical University of Athens · GRTechnical University of Denmark · DKUiT The Arctic University of Norway · NOUniversity of Hong Kong · HKWallenberg Wood Science Center · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gene expression and secretion of fungal lignocellulolytic enzymes are tightly controlled at the transcription level using independent mechanisms to respond to distinct inducers from plant biomass. An advanced systems-level understanding of transcriptional regulatory networks is required to rationally engineer filamentous fungi for more efficient bioconversion of different types of biomass.

resultsIn this study we focused on ten chemically defined inducers to drive expression of cellulases, hemicellulases and accessory enzymes in the model filamentous fungus Aspergillus oryzae and shed light on the complex network of transcriptional activators required. The chemical diversity analysis of the inducers, based on 186 chemical descriptors calculated from the structure, resulted into three clusters, however, the global, metabolic and extracellular protein transcription of the A. oryzae genome were only partially explained by the chemical similarity of the enzyme inducers. Genes encoding enzymes that have attracted considerable interest such as cellobiose dehydrogenases and copper-dependent polysaccharide mono-oxygenases presented a substrate-specific induction. Several homology-model structures were derived using ab-initio multiple threading alignment in our effort to elucidate the interplay of transcription factors involved in regulating plant-deconstructing enzymes and metabolites. Systematic investigation of metabolite-protein interactions, using the 814 unique reactants involved in 2360 reactions in the genome scale metabolic network of A. oryzae, was performed through a two-step molecular docking against the binding pockets of the transcription factors AoXlnR and AoAmyR. A total of six metabolites viz., sulfite (H2SO3), sulfate (SLF), uroporphyrinogen III (UPGIII), ethanolamine phosphate (PETHM), D-glyceraldehyde 3-phosphate (T3P1) and taurine (TAUR) were found as strong binders, whereas the genes involved in the metabolic reactions that these metabolites appear were found to be significantly differentially expressed when comparing the inducers with glucose.

conclusionsBased on our observations, we believe that specific binding of sulfite to the regulator of the cellulase gene expression, AoXlnR, may be the molecular basis for the connection of sulfur metabolism and cellulase gene expression in filamentous fungi. Further characterization and manipulation of the regulatory network components identified in this study, will enable rational engineering of industrial strains for improved production of the sophisticated set of enzymes necessary to break-down chemically divergent plant biomass.

Indexed as

Gene Expression Regulation, FungalAspergillus oryzaeBinding SitesCellulasesFungal ProteinsGene Expression ProfilingGene Regulatory NetworksGlycoside HydrolasesMetabolic Networks and PathwaysMolecular Docking SimulationPlant CellsSulfitesTranscription FactorsXyloseCellulasesFungal ProteinsGlycoside HydrolaseshemicellulaseSulfitesTranscription FactorsXylose

Identifiers

PMID26573537
PMCPMC4647334
OpenAlexW2198915992

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.