Evidence map›Paper›PMID 37773137›Full record

ArticleMicrobial cell factories2023

Refactoring the architecture of a polyketide gene cluster enhances docosahexaenoic acid production in Yarrowia lipolytica through improved expression and genetic stability.

Demian Dietrich, Sofija Jovanovic-Gasovic, Peng Cao, Michael Kohlstedt, Christoph Wittmann

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 8% 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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Demian DietrichInstitute of Systems Biotechnology, Saarland University, Saarbrücken, Germany.
Sofija Jovanovic-GasovicInstitute of Systems Biotechnology, Saarland University, Saarbrücken, Germany.
Peng CaoInstitute of Systems Biotechnology, Saarland University, Saarbrücken, Germany.
Michael KohlstedtInstitute of Systems Biotechnology, Saarland University, Saarbrücken, Germany.
Christoph WittmannInstitute of Systems Biotechnology, Saarland University, Saarbrücken, Germany. christoph.wittmann@uni-saarland.de.
Saarland University · DE

Funding

Bundesministerium für Bildung und Forschung 031B0346BDeutsche Forschungsgemeinschaft INST 256/418-1
6 · The paper itself

Abstract

backgroundLong-chain polyunsaturated fatty acids (LC-PUFAs), such as docosahexaenoic acid (DHA), are essential for human health and have been widely used in the food and pharmaceutical industries. However, the limited availability of natural sources, such as oily fish, has led to the pursuit of microbial production as a promising alternative. Yarrowia lipolytica can produce various PUFAs via genetic modification. A recent study upgraded Y. lipolytica for DHA production by expressing a four-gene cluster encoding a myxobacterial PKS-like PUFA synthase, reducing the demand for redox power. However, the genetic architecture of gene expression in Y. lipolytica is complex and involves various control elements, offering space for additional improvement of DHA production. This study was designed to optimize the expression of the PUFA cluster using a modular cloning approach.

resultsExpression of the monocistronic cluster with each gene under the control of the constitutive TEF promoter led to low-level DHA production. By using the minLEU2 promoter instead and incorporating additional upstream activating UAS1B4 sequences, 5' promoter introns, and intergenic spacers, DHA production was increased by 16-fold. The producers remained stable over 185 h of cultivation. Beneficially, the different genetic control elements acted synergistically: UAS1B elements generally increased expression, while the intron caused gene-specific effects. Mutants with UAS1B16 sequences within 2-8 kb distance, however, were found to be genetically unstable, which limited production performance over time, suggesting the avoidance of long repetitive sequence blocks in synthetic multigene clusters and careful monitoring of genetic stability in producing strains.

conclusionsOverall, the results demonstrate the effectiveness of synthetic heterologous gene clusters to drive DHA production in Y. lipolytica. The combinatorial exploration of different genetic control elements allowed the optimization of DHA production. These findings have important implications for developing Y. lipolytica strains for the industrial-scale production of valuable polyunsaturated fatty acids.

Indexed as

PolyketidesYarrowiaDocosahexaenoic AcidsFatty Acids, UnsaturatedHumansMetabolic EngineeringMultigene FamilyDocosahexaenoic AcidsFatty Acids, UnsaturatedPolyketidesAcetyl-CoADHAGenetic stabilityGlycerolMalonyl-CoAMetabolomePUFASynthetic biologySynthetic clusterTranscriptionTranscriptomeYarrowia lipolytica

Identifiers

PMID37773137
PMCPMC10540379
OpenAlexW4387178184

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.