Evidence map›Paper›PMID 27922098›Full record

ArticleScientific reports2016

Comparison of 432 Pseudomonas strains through integration of genomic, functional, metabolic and expression data.

Jasper J Koehorst, Jesse C J van Dam, Ruben G A van Heck, Edoardo Saccenti, Vitor A P Martins Dos Santos, Maria Suarez-Diez, Peter J Schaap

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  10. Review
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  12. Combined Transcriptome Sequencing ofFrontiers in microbiology · 2020
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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

7 authors.

Jasper J KoehorstWageningen University, Laboratory of Systems and Synthetic Biology, Wageningen, 6708 WE, The Netherlands.
Jesse C J van DamWageningen University, Laboratory of Systems and Synthetic Biology, Wageningen, 6708 WE, The Netherlands.
Ruben G A van HeckWageningen University, Laboratory of Systems and Synthetic Biology, Wageningen, 6708 WE, The Netherlands.
Edoardo SaccentiWageningen University, Laboratory of Systems and Synthetic Biology, Wageningen, 6708 WE, The Netherlands.
Vitor A P Martins Dos SantosWageningen University, Laboratory of Systems and Synthetic Biology, Wageningen, 6708 WE, The Netherlands.
Maria Suarez-DiezWageningen University, Laboratory of Systems and Synthetic Biology, Wageningen, 6708 WE, The Netherlands.
Peter J SchaapWageningen University, Laboratory of Systems and Synthetic Biology, Wageningen, 6708 WE, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudomonas is a highly versatile genus containing species that can be harmful to humans and plants while others are widely used for bioengineering and bioremediation. We analysed 432 sequenced Pseudomonas strains by integrating results from a large scale functional comparison using protein domains with data from six metabolic models, nearly a thousand transcriptome measurements and four large scale transposon mutagenesis experiments. Through heterogeneous data integration we linked gene essentiality, persistence and expression variability. The pan-genome of Pseudomonas is closed indicating a limited role of horizontal gene transfer in the evolutionary history of this genus. A large fraction of essential genes are highly persistent, still non essential genes represent a considerable fraction of the core-genome. Our results emphasize the power of integrating large scale comparative functional genomics with heterogeneous data for exploring bacterial diversity and versatility.

Indexed as

Computational BiologyEnergy MetabolismGene Expression Regulation, BacterialGenome, BacterialGenomicsHumansMolecular Sequence AnnotationPhylogenyPseudomonasWorkflow

Identifiers

PMID27922098
PMCPMC5138606

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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.