Evidence map›Paper›PMID 37838667›Full record

ArticleMicrobial cell factories2023

Heterologous overproduction of oviedomycin by refactoring biosynthetic gene cluster and metabolic engineering of host strain Streptomyces coelicolor.

Boncheol Gu, Duck Gyun Kim, Do-Kyung Kim, Minji Kim, Hyun Uk Kim, Min-Kyu Oh

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Synthetic and systems biotechnology · 2026
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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

6 authors at 2 institutions in 1 country.

Boncheol GuDepartment of Chemical & Biological Engineering, Korea University, Seoul, 02841, Republic of Korea.
Duck Gyun KimDepartment of Chemical & Biological Engineering, Korea University, Seoul, 02841, Republic of Korea.
Do-Kyung KimDepartment of Chemical & Biological Engineering, Korea University, Seoul, 02841, Republic of Korea.
Minji KimDepartment of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Hyun Uk KimDepartment of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea. ehukim@kaist.ac.kr.
Min-Kyu OhDepartment of Chemical & Biological Engineering, Korea University, Seoul, 02841, Republic of Korea. mkoh@korea.ac.kr.
Korea University · KRKorea Advanced Institute of Science and Technology · KR

Funding

National Research Foundation of Korea 2018M3A9H3020459National Research Foundation of Korea NRF-2018M3A9F3079662
6 · The paper itself

Abstract

backgroundOviedomycin is one among several polyketides known for their potential as anticancer agents. The biosynthetic gene cluster (BGC) for oviedomycin is primarily found in Streptomyces antibioticus. However, because this BGC is usually inactive under normal laboratory conditions, it is necessary to employ systematic metabolic engineering methods, such as heterologous expression, refactoring of BGCs, and optimization of precursor biosynthesis, to allow efficient production of these compounds.

resultsOviedomycin BGC was captured from the genome of Streptomyces antibioticus by a newly constructed plasmid, pCBA, and conjugated into the heterologous strain, S. coelicolor M1152. To increase the production of oviedomycin, clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) system was utilized in an in vitro setting to refactor the native promoters within the ovm BGC. The target promoters of refactoring were selected based on examination of factors such as transcription levels and metabolite profiling. Furthermore, genome-scale metabolic simulation was applied to find overexpression targets that could enhance the biosynthesis of precursors or cofactors related to oviedomycin production. The combined approach led to a significant increase in oviedomycin production, reaching up to 670 mg/L, which is the highest titer reported to date. This demonstrates the potential of the approach undertaken in this study.

conclusionsThe metabolic engineering approach used in this study led to the successful production of a valuable polyketide, oviedomycin, via BGC cloning, promoter refactoring, and gene manipulation of host metabolism aided by genome-scale metabolic simulation. This approach can be also useful for the efficient production of other secondary molecules encoded by 'silent' BGCs.

Indexed as

PolyketidesStreptomycesStreptomyces coelicolorAminoglycosidesEthers, CyclicMetabolic EngineeringMultigene FamilyAminoglycosidesEthers, CyclicoviedomycinPolyketidesGenome-scale metabolic modelHeterologous expressionMetabolic engineeringOviedomycinRefactoring

Identifiers

PMID37838667
PMCPMC10576301
OpenAlexW4387640607

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.