Evidence map›Paper›PMID 28212656›Full record

ArticleMicrobial cell factories2017

Using a vector pool containing variable-strength promoters to optimize protein production in Yarrowia lipolytica.

Rémi Dulermo, François Brunel, Thierry Dulermo, Rodrigo Ledesma-Amaro, Jérémy Vion, Marion Trassaert, Stéphane Thomas, Jean-Marc Nicaud, Christophe Leplat

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
6.3field-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

52 citing papers in PubMed, 137 citations in OpenAlex.

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  14. Biosynthesis of Fatty Acid Derivatives by RecombinantJournal of fungi (Basel, Switzerland) · 2023
    Article
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  17. Employing Engineered Enolase Promoter for Efficient Expression ofInternational journal of molecular sciences · 2022
    Article
  18. Elevating Phospholipids ProductionInternational journal of molecular sciences · 2022
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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

9 authors at 2 institutions in 1 country.

Rémi DulermoMicalis Institute, INRA-AgroParisTech, UMR1319, Team BIMLip: Integrative Metabolism of Microbial Lipids, Université Paris-Saclay, domaine de Vilvert, 78350, Jouy-en-Josas, France. remi.dulermo@ifremer.fr.
François BrunelMicalis Institute, INRA-AgroParisTech, UMR1319, Team BIMLip: Integrative Metabolism of Microbial Lipids, Université Paris-Saclay, domaine de Vilvert, 78350, Jouy-en-Josas, France.
Thierry DulermoMicalis Institute, INRA-AgroParisTech, UMR1319, Team BIMLip: Integrative Metabolism of Microbial Lipids, Université Paris-Saclay, domaine de Vilvert, 78350, Jouy-en-Josas, France.
Rodrigo Ledesma-AmaroMicalis Institute, INRA-AgroParisTech, UMR1319, Team BIMLip: Integrative Metabolism of Microbial Lipids, Université Paris-Saclay, domaine de Vilvert, 78350, Jouy-en-Josas, France.
Jérémy VionMicalis Institute, INRA-AgroParisTech, UMR1319, Team BIMLip: Integrative Metabolism of Microbial Lipids, Université Paris-Saclay, domaine de Vilvert, 78350, Jouy-en-Josas, France.
Marion TrassaertMicalis Institute, INRA-AgroParisTech, UMR1319, Team BIMLip: Integrative Metabolism of Microbial Lipids, Université Paris-Saclay, domaine de Vilvert, 78350, Jouy-en-Josas, France.
Stéphane ThomasMicalis Institute, INRA-AgroParisTech, UMR1319, Team BIMLip: Integrative Metabolism of Microbial Lipids, Université Paris-Saclay, domaine de Vilvert, 78350, Jouy-en-Josas, France.
Jean-Marc NicaudMicalis Institute, INRA-AgroParisTech, UMR1319, Team BIMLip: Integrative Metabolism of Microbial Lipids, Université Paris-Saclay, domaine de Vilvert, 78350, Jouy-en-Josas, France. jean-marc.nicaud@inra.fr.
Christophe LeplatMicalis Institute, INRA-AgroParisTech, UMR1319, Team BIMLip: Integrative Metabolism of Microbial Lipids, Université Paris-Saclay, domaine de Vilvert, 78350, Jouy-en-Josas, France. christophe.leplat.01@gmail.com.
Université Paris-Saclay · FRMicrobiologie de l’alimentation au service de la santé · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe yeast Yarrowia lipolytica is an increasingly common biofactory. To enhance protein expression, several promoters have been developed, including the constitutive TEF promoter, the inducible POX2 promotor, and the hybrid hp4d promoter. Recently, new hp4d-inspired promoters have been created that couple various numbers of UAS1 tandem elements with the minimal LEU2 promoter or the TEF promoter. Three different protein-secretion signaling sequences can be used: preLip2, preXpr2, and preSuc2.

resultsTo our knowledge, our study is the first to use a set of vectors with promoters of variable strength to produce proteins of industrial interest. We used the more conventional TEF and hp4d promoters along with five new hybrid promoters: 2UAS1-pTEF, 3UAS1-pTEF, 4UAS1-pTEF, 8UAS1-pTEF, and hp8d. We compared the production of RedStar2, glucoamylase, and xylanase C when strains were grown on three media. As expected, levels of RedStar2 and glucoamylase were greatest in the strain with the 8UAS1-pTEF promoter, which was stronger. However, surprisingly, the 2UAS1-pTEF promoter was associated with the greatest xylanase C production and activity. This finding underscored that stronger promoters are not always better when it comes to protein production. We therefore developed a method for easily identifying the best promoter for a given protein of interest. In this gateway method, genes for YFP and α-amylase were transferred into a pool of vectors containing different promoters and gene expression was then analyzed. We observed that, in most cases, protein production and activity were correlated with promoter strength, although this pattern was protein dependent.

conclusionsProtein expression depends on more than just promoter strength. Indeed, promoter suitability appears to be protein dependent; in some cases, optimal expression and activity was obtained using a weaker promoter. We showed that using a vector pool containing promoters of variable strength can be a powerful tool for rapidly identifying the best producer for a given protein of interest.

Indexed as

Genetic VectorsPromoter Regions, Geneticalpha-AmylasesBacterial ProteinsCulture MediaEndo-1,4-beta XylanasesFungal ProteinsGene ExpressionGenetic EngineeringGlucan 1,4-alpha-GlucosidaseLuminescent ProteinsRecombinant ProteinsYarrowiaalpha-AmylasesBacterial ProteinsCulture MediaEndo-1,4-beta XylanasesFungal ProteinsGlucan 1,4-alpha-GlucosidaseLuminescent ProteinsRecombinant Proteinsyellow fluorescent protein, BacteriaGlucoamylaseHybrid promotersProtein productionRedStar2XylanaseYarrowia lipolytica

Identifiers

PMID28212656
PMCPMC5316184
OpenAlexW2588337104

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.