Evidence map›Paper›PMID 31657101›Full record

ArticleEnvironmental microbiology2020

High-quality genome-scale metabolic modelling of Pseudomonas putida highlights its broad metabolic capabilities.

Juan Nogales, Joshua Mueller, Steinn Gudmundsson, Francisco J Canalejo, Estrella Duque, Jonathan Monk, Adam M Feist, Juan Luis Ramos, Wei Niu, Bernhard O Palsson

Open access · hybridAbstract read
In one paragraph

Article in Environmental microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
8.5field-weighted citation impact, top 2% 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

88 citing papers in PubMed, 207 citations in OpenAlex.

  1. Article
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  14. Multi-strain Analysis ofbioRxiv : the preprint server for biology · 2025
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  18. Review
  19. Article
  20. Synthetic CmBio · 2025
    Article

28 more citing papers are in PubMed but not listed here.

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 5 institutions in 3 countries.

Juan NogalesDepartment of Systems Biology, Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.ORCID 0000-0002-4961-0833
Joshua MuellerDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Steinn GudmundssonCenter for Systems Biology, University of Iceland, Reykjavík, Iceland.
Francisco J CanalejoDepartment of Systems Biology, Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.
Estrella DuqueDepartment of Environmental Protection, Estación Experimental del Zaidín (CSIC), Granada, Spain.
Jonathan MonkDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Adam M FeistDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Juan Luis RamosDepartment of Environmental Protection, Estación Experimental del Zaidín (CSIC), Granada, Spain.ORCID 0000-0002-8731-7435
Wei NiuDepartment of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
University of California San Diego · USEstación Experimental del Zaidín · ESUniversity of Nebraska–Lincoln · USCentro Nacional de Biotecnología · ESUniversity of Iceland · IS

Funding

H2020 Future and Emerging Technologies 686585H2020 LEIT Biotechnology 635536H2020 LEIT Biotechnology 814650Ministerio de Economía y Competitividad BIO2014-59528-JINMinisterio de Economía y Competitividad RTI-2018-094370-B-I00National Science Foundation Graduate Research Fellowship Program 1610400Novo Nordisk NNF10CC1016517U.S. Department of Energy DE-AC02-05CH11231
6 · The paper itself

Abstract

Genome-scale reconstructions of metabolism are computational species-specific knowledge bases able to compute systemic metabolic properties. We present a comprehensive and validated reconstruction of the biotechnologically relevant bacterium Pseudomonas putida KT2440 that greatly expands computable predictions of its metabolic states. The reconstruction represents a significant reactome expansion over available reconstructed bacterial metabolic networks. Specifically, iJN1462 (i) incorporates several hundred additional genes and associated reactions resulting in new predictive capabilities, including new nutrients supporting growth; (ii) was validated by in vivo growth screens that included previously untested carbon (48) and nitrogen (41) sources; (iii) yielded gene essentiality predictions showing large accuracy when compared with a knock-out library and Bar-seq data; and (iv) allowed mapping of its network to 82 P. putida sequenced strains revealing functional core that reflect the large metabolic versatility of this species, including aromatic compounds derived from lignin. Thus, this study provides a thoroughly updated metabolic reconstruction and new computable phenotypes for P. putida, which can be leveraged as a first step toward understanding the pan metabolic capabilities of Pseudomonas.

Indexed as

CarbonGenome, BacterialMetabolic Networks and PathwaysModels, BiologicalNitrogenPseudomonas putidaCarbonNitrogen

Identifiers

PMID31657101
PMCPMC7078882
OpenAlexW2982500515

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.