Evidence map›Paper›PMID 39242505›Full record

ArticleMicrobial cell factories2024

Metabolic engineering of Saccharomyces cerevisiae for enhanced taxadiene production.

Hulya Karaca, Murat Kaya, Handan Açelya Kapkac, Serkan Levent, Yusuf Ozkay, Secil Deniz Ozan, Jens Nielsen, Anastasia Krivoruchko

Abstract read
In one paragraph

Article in Microbial cell factories, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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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

8 authors.

Hulya KaracaDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96, Gothenburg, SE, Sweden. hulyakaraca@anadolu.edu.tr.
Murat KayaDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Anadolu University, Eskisehir, 26471, Turkey.
Handan Açelya KapkacDepartment of Biology, Faculty of Sciences, Eskisehir Technical University, Eskisehir, 26471, Turkey.
Serkan LeventDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Anadolu University, Eskisehir, 26471, Turkey.
Yusuf OzkayDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Anadolu University, Eskisehir, 26471, Turkey.
Secil Deniz OzanDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Anadolu University, Eskisehir, 26471, Turkey.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96, Gothenburg, SE, Sweden.
Anastasia KrivoruchkoDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96, Gothenburg, SE, Sweden.

Funding

Anadolu University Scientific Research Projects Commission 2008S091Scientific and Technological Research Council of Türkiye 117Z246
6 · The paper itself

Abstract

backgroundMetabolic engineering enables the sustainable and cost-efficient production of complex chemicals. Efficient production of terpenes in Saccharomyces cerevisiae can be achieved by recruiting an intermediate of the mevalonate pathway. The present study aimed to evaluate the engineering strategies of S. cerevisiae for the production of taxadiene, a precursor of taxol, an antineoplastic drug.

resultSCIGS22a, a previously engineered strain with modifications in the mevalonate pathway (MVA), was used as a background strain. This strain was engineered to enable a high flux towards farnesyl diphosphate (FPP) and the availability of NADPH. The strain MVA was generated from SCIGS22a by overexpressing all mevalonate pathway genes. Combining the background strains with 16 different episomal plasmids, which included the combination of 4 genes: tHMGR (3-hydroxy-3-methylglutaryl-CoA reductase), ERG20 (farnesyl pyrophosphate synthase), GGPPS (geranyl diphosphate synthase) and TS (taxadiene synthase) resulted in the highest taxadiene production in S. cerevisiae of 528 mg/L.

conclusionOur study highlights the critical role of pathway balance in metabolic engineering, mainly when dealing with toxic molecules like taxadiene. We achieved significant improvements in taxadiene production by employing a combinatorial approach and focusing on balancing the downstream and upstream pathways. These findings emphasize the importance of minor gene expression modification levels to achieve a well-balanced pathway, ultimately leading to enhanced taxadiene accumulation.

Indexed as

Metabolic EngineeringMevalonic AcidSaccharomyces cerevisiaeAlkenesDiterpenesHydroxymethylglutaryl CoA ReductasesNADPPolyisoprenyl PhosphatesSaccharomyces cerevisiae ProteinsSesquiterpenesAlkenesDiterpenesfarnesyl pyrophosphateHydroxymethylglutaryl CoA ReductasesMevalonic AcidNADPPolyisoprenyl PhosphatesSaccharomyces cerevisiae ProteinsSesquiterpenestaxa-4(5),11(12)dieneMetabolic engineeringMevalonate pathwayS. cerevisiaeTaxolTerpenes

Identifiers

PMID39242505
PMCPMC11380192

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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.