Evidence map›Paper›PMID 39966433›Full record

ArticleScientific reports2025

A robust strategy for overexpression of DNA polymerase from Thermus aquaticus using an IPTG-independent autoinduction system in a benchtop bioreactor.

Fina Amreta Laksmi, Kenny Lischer, Yudhi Nugraha, Wiga Alif Violando, Helbert, Isa Nuryana, Firyal Nida Khasna, Naswandi Nur, Kharisma Panji Ramadhan, Destrianti Adelina Lumban Tobing and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

12 authors.

Fina Amreta LaksmiResearch Center for Applied Microbiology, National Research and Innovation Agency, Jalan Raya Bogor KM 46, Cibinong, Bogor, West Java, 16911, Indonesia. fina003@brin.go.id.ORCID 0000-0001-6887-2276
Kenny LischerDepartment of Chemical Engineering, University of Indonesia, Jakarta, Indonesia. lischer.kenny@ui.ac.id.ORCID 0000-0001-8725-4836
Yudhi NugrahaResearch Center for Molecular Biology Eijkman, National Research and Innovation Agency, Jalan Raya Bogor KM 46, Cibinong, Bogor, West Java, 16911, Indonesia.ORCID 0000-0003-1186-4093
Wiga Alif ViolandoDepartment of Marine, Sunan Ampel State Islamic University, Surabaya, Indonesia.ORCID 0000-0002-1642-1307
HelbertResearch Center for Ecology and Ethnobiology, National Research and Innovation Agency, Jalan Raya Bogor KM 46, Cibinong, Bogor, West Java, 16911, Indonesia.ORCID 0000-0002-1281-2159
Isa NuryanaResearch Center for Applied Microbiology, National Research and Innovation Agency, Jalan Raya Bogor KM 46, Cibinong, Bogor, West Java, 16911, Indonesia.ORCID 0000-0002-6128-7661
Firyal Nida KhasnaResearch Center for Applied Microbiology, National Research and Innovation Agency, Jalan Raya Bogor KM 46, Cibinong, Bogor, West Java, 16911, Indonesia.
Naswandi NurResearch Center for Applied Microbiology, National Research and Innovation Agency, Jalan Raya Bogor KM 46, Cibinong, Bogor, West Java, 16911, Indonesia.ORCID 0000-0001-6375-9119
Kharisma Panji RamadhanResearch Center for Applied Microbiology, National Research and Innovation Agency, Jalan Raya Bogor KM 46, Cibinong, Bogor, West Java, 16911, Indonesia.
Destrianti Adelina Lumban TobingResearch Center for Applied Microbiology, National Research and Innovation Agency, Jalan Raya Bogor KM 46, Cibinong, Bogor, West Java, 16911, Indonesia.
HariyatunResearch Center for Genetic Engineering, National Research and Innovation Agency, Jalan Raya Bogor KM 46, Cibinong, Bogor, West Java, 16911, Indonesia.ORCID 0000-0002-9013-447X
Iman HidayatDeputy for Infrastructure Research and Innovation, National Research and Innovation Agency, Jalan Raya Bogor KM 46, Cibinong, Bogor, West Java, 16911, Indonesia.ORCID 0000-0003-0239-4122

Funding

Badan Riset dan Inovasi Nasional 1/III.5/ HK/2024Universitas Indonesia NKB-507/UN2.RST/HKP.05.00/2024
6 · The paper itself

Abstract

The DNA polymerase derived from Thermus aquaticus is the most widely utilized among various DNA polymerases, indicating its significant economic importance. Consequently, efforts to achieve a substantial yield of Taq DNA polymerase (Taq-pol) are ongoing. The expression of recombinant protein using T7-induced promoters presents challenges in cost-effectiveness, primarily due to the reliance on traditional induction method. Our study aims to enhance cost-efficiency, and scalability of our method for overproducing Taq-pol, particularly in comparison to traditional IPTG-induced techniques, which remain underreported in the current literature. To achieve those purposes, this work integrated the use of (1) a high copy number vector; (2) an optimized chemically defined medium; and (3) optimized fermentation conditions in a 5 L bioreactor. A total of 83.5 mg/L of pure Taq-pol was successfully synthesized in its active form, leading to a 9.7-fold enhancement in protein yield. This was achieved by incorporating glucose, glycerol, and lactose into a defined medium at concentrations of 0.1, 0.6, and 1%, respectively, under specific production conditions in a 5 L bioreactor: 300 rpm, 2 vvm, and 10% inoculant. The data collectively suggest that the strategy serves as a significant foundation for the future advancement of large-scale production of Taq-pol.

Indexed as

BioreactorsDNA-Directed DNA PolymeraseTaq PolymeraseThermusCulture MediaEscherichia coliFermentationIsopropyl ThiogalactosideRecombinant ProteinsCulture MediaDNA-Directed DNA PolymeraseIsopropyl ThiogalactosideRecombinant ProteinsTaq PolymeraseAutoinductionChemically defined mediumDNA polymeraseEscherichia coliThermus aquaticus

Identifiers

PMID39966433
PMCPMC11836315

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Registered trials

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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.