Evidence map›Paper›PMID 23774757›Full record

ArticleMolecular systems biology2013

Dissecting a complex chemical stress: chemogenomic profiling of plant hydrolysates.

Jeffrey M Skerker, Dacia Leon, Morgan N Price, Jordan S Mar, Daniel R Tarjan, Kelly M Wetmore, Adam M Deutschbauer, Jason K Baumohl, Stefan Bauer, Ana B Ibáñez and 5 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 113 citations in OpenAlex.

  1. Article
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  8. Occurrence of antimicrobial-resistant Staphylococcus aureus in a Brazilian veterinary hospital environment.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
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  10. Machine learning for metabolic pathway optimization: A review.Computational and structural biotechnology journal · 2023
    Review
  11. Second generation Pichia pastoris strain and bioprocess designs.Biotechnology for biofuels and bioproducts · 2022
    Review
  12. Article
  13. Review
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  16. Review
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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

15 authors at 4 institutions in 1 country.

Jeffrey M SkerkerEnergy Biosciences Institute, University of California, Berkeley, CA, USA.
Dacia Leon
Morgan N Price
Jordan S Mar
Daniel R Tarjan
Kelly M Wetmore
Adam M Deutschbauer
Jason K Baumohl
Stefan Bauer
Ana B Ibáñez
Valerie D Mitchell
Cindy H Wu
Ping Hu
Terry Hazen
Adam P Arkin
University of California, Berkeley · USLawrence Berkeley National Laboratory · USEnergy Biosciences Institute · USNASA Earth Science

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The efficient production of biofuels from cellulosic feedstocks will require the efficient fermentation of the sugars in hydrolyzed plant material. Unfortunately, plant hydrolysates also contain many compounds that inhibit microbial growth and fermentation. We used DNA-barcoded mutant libraries to identify genes that are important for hydrolysate tolerance in both Zymomonas mobilis (44 genes) and Saccharomyces cerevisiae (99 genes). Overexpression of a Z. mobilis tolerance gene of unknown function (ZMO1875) improved its specific ethanol productivity 2.4-fold in the presence of miscanthus hydrolysate. However, a mixture of 37 hydrolysate-derived inhibitors was not sufficient to explain the fitness profile of plant hydrolysate. To deconstruct the fitness profile of hydrolysate, we profiled the 37 inhibitors against a library of Z. mobilis mutants and we modeled fitness in hydrolysate as a mixture of fitness in its components. By examining outliers in this model, we identified methylglyoxal as a previously unknown component of hydrolysate. Our work provides a general strategy to dissect how microbes respond to a complex chemical stress and should enable further engineering of hydrolysate tolerance.

Indexed as

Models, ChemicalModels, GeneticBiomassCelluloseEnzyme InhibitorsEthanolFermentationGene LibraryGenes, BacterialGenes, FungalHydrolysisMutationPyruvaldehydeSaccharomyces cerevisiaeStress, PhysiologicalZymomonasCelluloseEnzyme InhibitorsEthanolPyruvaldehyde

Identifiers

PMID23774757
PMCPMC3964314
OpenAlexW2107764928

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.