Evidence map›Paper›PMID 21059201›Full record

ArticleMicrobial cell factories2010

Improved vanillin production in baker's yeast through in silico design.

Ana Rita Brochado, Claudia Matos, Birger L Møller, Jørgen Hansen, Uffe H Mortensen, Kiran Raosaheb Patil

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

89 citing papers in PubMed, 272 citations in OpenAlex.

  1. Article
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  6. Redesigned Pathway forJACS Au · 2025
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  8. Review
  9. OMICS and Other Advanced Technologies in Mycological Applications.Journal of fungi (Basel, Switzerland) · 2023
    Review
  10. Review
  11. Article
  12. Article
  13. Biosynthesis of vanillin by different microorganisms: a review.World journal of microbiology & biotechnology · 2022
    Review
  14. Article
  15. Article
  16. Microbial production of advanced biofuels.Nature reviews. Microbiology · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. Article

29 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 at 4 institutions in 2 countries.

Ana Rita BrochadoCenter for Microbial Biotechnology, Technical University of Denmark, DK - 2800 Kgs. Lyngby, Denmark.
Claudia Matos
Birger L Møller
Jørgen Hansen
Uffe H Mortensen
Kiran Raosaheb Patil
Technical University of Denmark · DKEuropean Molecular Biology Laboratory · DEEvolva (Denmark) · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVanillin is one of the most widely used flavouring agents, originally obtained from cured seed pods of the vanilla orchid Vanilla planifolia. Currently vanillin is mostly produced via chemical synthesis. A de novo synthetic pathway for heterologous vanillin production from glucose has recently been implemented in baker's yeast, Saccharamyces cerevisiae. In this study we aimed at engineering this vanillin cell factory towards improved productivity and thereby at developing an attractive alternative to chemical synthesis.

resultsExpression of a glycosyltransferase from Arabidopsis thaliana in the vanillin producing S. cerevisiae strain served to decrease product toxicity. An in silico metabolic engineering strategy of this vanillin glucoside producing strain was designed using a set of stoichiometric modelling tools applied to the yeast genome-scale metabolic network. Two targets (PDC1 and GDH1) were selected for experimental verification resulting in four engineered strains. Three of the mutants showed up to 1.5 fold higher vanillin β-D-glucoside yield in batch mode, while continuous culture of the Δpdc1 mutant showed a 2-fold productivity improvement. This mutant presented a 5-fold improvement in free vanillin production compared to the previous work on de novo vanillin biosynthesis in baker's yeast.

conclusionUse of constraints corresponding to different physiological states was found to greatly influence the target predictions given minimization of metabolic adjustment (MOMA) as biological objective function. In vivo verification of the targets, selected based on their predicted metabolic adjustment, successfully led to overproducing strains. Overall, we propose and demonstrate a framework for in silico design and target selection for improving microbial cell factories.

Indexed as

ArabidopsisBenzaldehydesCarbonComputer SimulationFlavoring AgentsGlutamate DehydrogenaseGlycosyltransferasesPyruvate DecarboxylaseSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsBenzaldehydesCarbonFlavoring AgentsGlutamate DehydrogenaseGlycosyltransferasesPDC1 protein, S cerevisiaePyruvate DecarboxylaseSaccharomyces cerevisiae Proteinsvanillin

Identifiers

PMID21059201
PMCPMC2992047
OpenAlexW2104517854

What OpenQuestion holds

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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.