Evidence map›Paper›PMID 26438243›Full record

ArticleMicrobial cell factories2015

A particular silent codon exchange in a recombinant gene greatly influences host cell metabolic activity.

Natalie Rahmen, Christian D Schlupp, Hitoshi Mitsunaga, Alexander Fulton, Tita Aryani, Lara Esch, Ulrich Schaffrath, Eiichiro Fukuzaki, Karl-Erich Jaeger, Jochen Büchs

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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, 1 synthesis or guideline pooled it, 25 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

10 authors at 4 institutions in 2 countries.

Natalie RahmenAVT, Biochemical Engineering, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany. natalie.rahmen@avt.rwth-aachen.de.
Christian D SchluppDepartment of Plant Physiology, RWTH Aachen University, Worringerweg 1, 52056, Aachen, Germany. christian.schlupp@rwth-aachen.de.
Hitoshi MitsunagaDepartment of Biotechnology, Graduate School of Engineering, Osaka University, 2-1 Yamada-oka, Suita, 565-0871, Japan. hitoshi_mitsunaga@bio.eng.osaka-u.ac.jp.
Alexander FultonInstitute for Molecular Enzyme Technology, Heinrich-Heine-University Düsseldorf, Forschungszentrum Jülich, 52426, Jülich, Germany. a.fulton@fz-juelich.de.
Tita AryaniAVT, Biochemical Engineering, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany. tita.aryani@rwth-aachen.de.
Lara EschDepartment of Plant Physiology, RWTH Aachen University, Worringerweg 1, 52056, Aachen, Germany. lara.esch@rwth-aachen.de.
Ulrich SchaffrathDepartment of Plant Physiology, RWTH Aachen University, Worringerweg 1, 52056, Aachen, Germany. schaffrath@bio3.rwth-aachen.de.
Eiichiro FukuzakiDepartment of Biotechnology, Graduate School of Engineering, Osaka University, 2-1 Yamada-oka, Suita, 565-0871, Japan. fukusaki@bio.eng.osaka-u.ac.jp.
Karl-Erich JaegerInstitute for Molecular Enzyme Technology, Heinrich-Heine-University Düsseldorf, Forschungszentrum Jülich, 52426, Jülich, Germany. karl-erich.jaeger@fz-juelich.de.
Jochen BüchsAVT, Biochemical Engineering, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany. jochen.buechs@avt.rwth-aachen.de.
RWTH Aachen University · DEOsaka University · JPForschungszentrum Jülich · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecombinant protein production using Escherichia coli as expression host is highly efficient, however, it also induces strong host cell metabolic burden. Energy and biomass precursors are withdrawn from the host's metabolism as they are required for plasmid replication, heterologous gene expression and protein production. Rare codons in a heterologous gene may be a further drawback. This study aims to investigate the influence of particular silent codon exchanges within a heterologous gene on host cell metabolic activity. Silent mutations were introduced into the coding sequence of a model protein to introduce all synonymous arginine or leucine codons at two randomly defined positions, as well as substitutions leading to identical amino acid exchanges with different synonymous codons. The respective E. coli clones were compared during cultivation in a mineral autoinduction medium using specialized online and offline measuring techniques to quantitatively analyze effects on respiration, biomass and protein production, as well as on carbon source consumption, plasmid copy number, intracellular nucleobases and mRNA content of each clone.

resultsHost stain metabolic burden correlates with recombinant protein production. Upon heterologous gene expression, tremendous differences in respiration, biomass and protein production were observed. According to their different respiration activity the E. coli clones could be classified into two groups, Type A and Type B. Type A clones tended to higher product formation, Type B clones showed stronger biomass formation. Whereas codon usage and intracellular nucleobases had no influence on the Type-A-Type-B-behavior, plasmid copy number, mRNA content and carbon source consumption strongly differed between the two groups.

conclusionsParticular silent codon exchanges in a heterologous gene sequence led to differences in initial growth of Type A and Type B clones. Thus, the biomass concentration at the time point of induction varied. In consequence, not only plasmid copy number and expression levels differed between the two groups, but also the kinetics of lactose and glycerol consumption. Even though the underlying molecular mechanisms are not yet identified we observed the astonishing phenomenon that particular silent codon exchanges within a heterologous gene tremendously affect host cell metabolism and recombinant protein production. This could have great impact on codon optimization of heterologous genes, screening procedures for improved variants, and biotechnological protein production processes.

Indexed as

CodonBacillus subtilisBacterial ProteinsBiomassCarbonEscherichia coliGene DosageLipaseMetabolic EngineeringMetabolomeMutagenesis, Site-DirectedPlasmidsRecombinant ProteinsRNA, MessengerBacterial ProteinsCarbonCodonLipaseRecombinant ProteinsRNA, Messenger

Identifiers

PMID26438243
PMCPMC4595056
OpenAlexW1842100115

What OpenQuestion holds

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LicenceCC BY
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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.