Evidence map›Paper›PMID 24224966›Full record

ArticleMolecular microbiology2014

A comparative systems analysis of polysaccharide-elicited responses in Neurospora crassa reveals carbon source-specific cellular adaptations.

J Philipp Benz, Bryant H Chau, Diana Zheng, Stefan Bauer, N Louise Glass, Chris R Somerville

Abstract readComparative Study
In one paragraph

Article in Molecular microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
–field-weighted citation impact
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

63 citing papers in PubMed.

  1. Article
  2. The genome-scale sugar metabolic model fromCurrent research in microbial sciences · 2026
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3 more citing papers are in PubMed but not listed here.

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.

J Philipp BenzEnergy Biosciences Institute, University of California Berkeley, Berkeley, California, USA.
Bryant H Chau
Diana Zheng
Stefan Bauer
N Louise Glass
Chris R Somerville

Funding

Tools for Functional Analysis and Cell BiologyP01GM068087 · NIGMS · DARTMOUTH COLLEGE · PI DUNLAP, JAY C. · 2004 to 2013
$19.3M
NIGMS NIH HHS P01 GM068087
6 · The paper itself

Abstract

Filamentous fungi are powerful producers of hydrolytic enzymes for the deconstruction of plant cell wall polysaccharides. However, the central question of how these sugars are perceived in the context of the complex cell wall matrix remains largely elusive. To address this question in a systematic fashion we performed an extensive comparative systems analysis of how the model filamentous fungus Neurospora crassa responds to the three main cell wall polysaccharides: pectin, hemicellulose and cellulose. We found the pectic response to be largely independent of the cellulolytic one with some overlap to hemicellulose, and in its extent surprisingly high, suggesting advantages for the fungus beyond being a mere carbon source. Our approach furthermore allowed us to identify carbon source-specific adaptations, such as the induction of the unfolded protein response on cellulose, and a commonly induced set of 29 genes likely involved in carbon scouting. Moreover, by hierarchical clustering we generated a coexpression matrix useful for the discovery of new components involved in polysaccharide utilization. This is exemplified by the identification of lat-1, which we demonstrate to encode for the physiologically relevant arabinose transporter in Neurospora. The analyses presented here are an important step towards understanding fungal degradation processes of complex biomass.

Indexed as

Adaptation, PhysiologicalArabinoseBiomassCarbonCelluloseCell WallGene Expression Regulation, FungalGenes, FungalNeurospora crassaPectinsPolysaccharidesProtein UnfoldingProteomicsArabinoseCarbonCellulosePectinsPolysaccharides

Identifiers

PMID24224966
PMCPMC3900418

What OpenQuestion holds

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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.