Evidence map›Paper›PMID 31640713›Full record

ArticleMicrobial cell factories2019

In silico-guided engineering of Pseudomonas putida towards growth under micro-oxic conditions.

Linde F C Kampers, Ruben G A van Heck, Stefano Donati, Edoardo Saccenti, Rita J M Volkers, Peter J Schaap, Maria Suarez-Diez, Pablo I Nikel, Vitor A P Martins Dos Santos

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

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  8. Process Development in Biosurfactant Production.Advances in biochemical engineering/biotechnology · 2022
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  10. Micro-aerobic production of isobutanol with engineeredEngineering in life sciences · 2021
    Article
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  15. Coupling an ElectroactiveMicroorganisms · 2020
    Article
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

9 authors at 4 institutions in 3 countries.

Linde F C KampersSystems and Synthetic Biology, Wageningen University and Research Centre, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Ruben G A van HeckSystems and Synthetic Biology, Wageningen University and Research Centre, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Stefano DonatiMax Planck Institute for Terrestrial Microbiology, Karl-von-Frisch-Strasse 16, 35043, Marburg, Germany.
Edoardo SaccentiSystems and Synthetic Biology, Wageningen University and Research Centre, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Rita J M VolkersSystems and Synthetic Biology, Wageningen University and Research Centre, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Peter J SchaapSystems and Synthetic Biology, Wageningen University and Research Centre, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Maria Suarez-DiezSystems and Synthetic Biology, Wageningen University and Research Centre, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Pablo I NikelThe Novo Nordisk Foundation Center for Biosustainability, Kgs Lyngby, Denmark.
Vitor A P Martins Dos SantosSystems and Synthetic Biology, Wageningen University and Research Centre, Stippeneng 4, 6708 WE, Wageningen, The Netherlands. vitor.martinsdossantos@wur.nl.ORCID http://orcid.org/0000-0002-2352-9017
Wageningen University & Research · NLLifeGlimmer (Germany) · DEMax Planck Institute for Terrestrial Microbiology · DENovo Nordisk Foundation · DK

Funding

Horizon 2020 (EmPowerPutida) 635536Horizon 2020 (IBISBA) 730976TTW-NWO (Safechassis) 15814
6 · The paper itself

Abstract

backgroundPseudomonas putida is a metabolically versatile, genetically accessible, and stress-robust species with outstanding potential to be used as a workhorse for industrial applications. While industry recognises the importance of robustness under micro-oxic conditions for a stable production process, the obligate aerobic nature of P. putida, attributed to its inability to produce sufficient ATP and maintain its redox balance without molecular oxygen, severely limits its use for biotechnology applications.

resultsHere, a combination of genome-scale metabolic modelling and comparative genomics is used to pinpoint essential [Formula: see text]-dependent processes. These explain the inability of the strain to grow under anoxic conditions: a deficient ATP generation and an inability to synthesize essential metabolites. Based on this, several P. putida recombinant strains were constructed harbouring acetate kinase from Escherichia coli for ATP production, and a class I dihydroorotate dehydrogenase and a class III anaerobic ribonucleotide triphosphate reductase from Lactobacillus lactis for the synthesis of essential metabolites. Initial computational designs were fine-tuned by means of adaptive laboratory evolution.

conclusionsWe demonstrated the value of combining in silico approaches, experimental validation and adaptive laboratory evolution for microbial design by making the strictly aerobic Pseudomonas putida able to grow under micro-oxic conditions.

Indexed as

Microorganisms, Genetically-ModifiedPseudomonas putidaAcetate KinaseAnaerobiosisBacterial ProteinsDihydroorotate DehydrogenaseEscherichia coliGenomicsLactobacillusMetabolic EngineeringOxidoreductases Acting on CH-CH Group DonorsOxygenRibonucleotide ReductasesAcetate Kinaseanaerobic ribonucleotide reductaseBacterial ProteinsDihydroorotate DehydrogenaseOxidoreductases Acting on CH-CH Group DonorsOxygenRibonucleotide ReductasesAnaerobiosisComparative genomicsConstraint-based metabolic modellingDomainome analysisMicrobial physiologySynthetic biology

Identifiers

PMID31640713
PMCPMC6805499
OpenAlexW2981982714

What OpenQuestion holds

Textmetadata
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.