Evidence map›Paper›PMID 35108266›Full record

ArticlePLoS computational biology2022

Flux balance analysis of the ammonia-oxidizing bacterium Nitrosomonas europaea ATCC19718 unravels specific metabolic activities while degrading toxic compounds.

Gabriela Canto-Encalada, Diego Tec-Campos, Juan D Tibocha-Bonilla, Karsten Zengler, Alejandro Zepeda, Cristal Zuñiga

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Predicting Strain-Specific Metabolic Capabilities in the GenusComputational and structural biotechnology journal · 2026
    Article
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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

6 authors.

Gabriela Canto-EncaladaFacultad de Ingeniería Química, Universidad Autónoma de Yucatán, Mérida, México.ORCID 0000-0001-6794-3917
Diego Tec-CamposFacultad de Ingeniería Química, Universidad Autónoma de Yucatán, Mérida, México.ORCID 0000-0001-8819-4150
Juan D Tibocha-BonillaDepartment of Pediatrics, University of California, San Diego, California, United States of America.ORCID 0000-0001-7357-8629
Karsten ZenglerDepartment of Pediatrics, University of California, San Diego, California, United States of America.ORCID 0000-0002-8062-3296
Alejandro ZepedaFacultad de Ingeniería Química, Universidad Autónoma de Yucatán, Mérida, México.ORCID 0000-0002-0587-5039
Cristal ZuñigaDepartment of Pediatrics, University of California, San Diego, California, United States of America.ORCID 0000-0002-0135-7429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ammonia-oxidizing bacterium Nitrosomonas europaea has been widely recognized as an important player in the nitrogen cycle as well as one of the most abundant members in microbial communities for the treatment of industrial or sewage wastewater. Its natural metabolic versatility and extraordinary ability to degrade environmental pollutants (e.g., aromatic hydrocarbons such as benzene and toluene) enable it to thrive under various harsh environmental conditions. Constraint-based metabolic models constructed from genome sequences enable quantitative insight into the central and specialized metabolism within a target organism. These genome-scale models have been utilized to understand, optimize, and design new strategies for improved bioprocesses. Reduced modeling approaches have been used to elucidate Nitrosomonas europaea metabolism at a pathway level. However, genome-scale knowledge about the simultaneous oxidation of ammonia and pollutant metabolism of N. europaea remains limited. Here, we describe the reconstruction, manual curation, and validation of the genome-scale metabolic model for N. europaea, iGC535. This reconstruction is the most accurate metabolic model for a nitrifying organism to date, reaching an average prediction accuracy of over 90% under several growth conditions. The manually curated model can predict phenotypes under chemolithotrophic and chemolithoorganotrophic conditions while oxidating methane and wastewater pollutants. Calculated flux distributions under different trophic conditions show that several key pathways are affected by the type of carbon source available, including central carbon metabolism and energy production.

Indexed as

AmmoniaNitrosomonas europaeaOxidation-ReductionAmmonia

Identifiers

PMID35108266
PMCPMC8853641

What OpenQuestion holds

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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.