Evidence map›Paper›PMID 25298783›Full record

ArticleBiotechnology for biofuels2014

Insights into acetate toxicity in Zymomonas mobilis 8b using different substrates.

Shihui Yang, Mary Ann Franden, Steven D Brown, Yat-Chen Chou, Philip T Pienkos, Min Zhang

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

27 citing papers in PubMed, 52 citations in OpenAlex.

  1. Engineering ethanologenic bacteriumSynthetic and systems biotechnology · 2026
    Article
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  4. Prospects for engineeringEngineering microbiology · 2023
    Review
  5. Article
  6. Characterization and Application of the Sugar Transporter Zmo0293 fromInternational journal of molecular sciences · 2023
    Article
  7. Zymomonas mobilis ZM4 Utilizes an NADPJournal of bacteriology · 2022
    Article
  8. A plasmid-freeFrontiers in bioengineering and biotechnology · 2022
    Article
  9. Article
  10. Article
  11. EngineeringMicroorganisms · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. EngineeredBiotechnology for biofuels · 2019
    Article
  16. Article
  17. Boosting Ethanol Productivity ofFrontiers in microbiology · 2019
    Article
  18. Article
  19. Article
  20. 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 2 institutions in 1 country.

Shihui YangNational Bioenergy Center, National Renewable Energy Laboratory, Golden, CO 80401 USA.
Mary Ann FrandenNational Bioenergy Center, National Renewable Energy Laboratory, Golden, CO 80401 USA.
Steven D BrownBiosciences Division, Oak Ridge, TN 37831 USA ; BioEnergy Science Center, Oak Ridge National Laboratory, Oak Ridge, TN 37831 USA.
Yat-Chen ChouNational Bioenergy Center, National Renewable Energy Laboratory, Golden, CO 80401 USA.
Philip T PienkosNational Bioenergy Center, National Renewable Energy Laboratory, Golden, CO 80401 USA.
Min ZhangNational Bioenergy Center, National Renewable Energy Laboratory, Golden, CO 80401 USA.
National Renewable Energy Laboratory · USOak Ridge National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLignocellulosic biomass is a promising renewable feedstock for biofuel production. Acetate is one of the major inhibitors liberated from hemicelluloses during hydrolysis. An understanding of the toxic effects of acetate on the fermentation microorganism and the efficient utilization of mixed sugars of glucose and xylose in the presence of hydrolysate inhibitors is crucial for economic biofuel production.

resultsA new microarray was designed including both coding sequences and intergenic regions to investigate the acetate stress responses of Zymomonas mobilis 8b when using single carbon sources of glucose or xylose, or mixed sugars of both glucose and xylose. With the supplementation of exogenous acetate, 8b can utilize all the glucose with a similar ethanol yield, although the growth, final biomass, and ethanol production rate were reduced. However, xylose utilization was inhibited in both media containing xylose or a mixed sugar of glucose and xylose, although the performance of 8b was better in mixed sugar than xylose-only media. The presence of acetate caused genes related to biosynthesis, the flagellar system, and glycolysis to be downregulated, and genes related to stress responses and energy metabolism to be upregulated. Unexpectedly, xylose seems to pose more stress on 8b, recruiting more genes for xylose utilization, than does acetate. Several gene candidates based on transcriptome results were selected for genetic manipulation, and a TonB-dependent receptor knockout mutant was confirmed to have a slight advantage regarding acetate tolerance.

conclusionsOur results indicate Z. mobilis utilized a different mechanism for xylose utilization, with an even more severe impact on Z. mobilis than that caused by acetate treatment. Our study also suggests redox imbalance caused by stressful conditions may trigger a metabolic reaction leading to the accumulation of toxic intermediates such as xylitol, but Z. mobilis manages its carbon and energy metabolism through the control of individual reactions to mitigate the stressful conditions. We have thus provided extensive transcriptomic datasets and gained insights into the molecular responses of Z. mobilis to the inhibitor acetate when grown in different sugar sources, which will facilitate future metabolic modeling studies and strain improvement efforts for better xylose utilization and acetate tolerance.

Identifiers

PMID25298783
PMCPMC4189746
OpenAlexW2165646311

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.