Evidence map›Paper›PMID 32457330›Full record

ArticleScientific reports2020

Understanding the metabolism of the tetralin degrader Sphingopyxis granuli strain TFA through genome-scale metabolic modelling.

Inmaculada García-Romero, Juan Nogales, Eduardo Díaz, Eduardo Santero, Belén Floriano

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Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Inmaculada García-RomeroCentro Andaluz de Biología del Desarrollo, CSIC-Universidad Pablo de Olavide, ES-41013, Seville, Spain.
Juan NogalesDepartment of Systems Biology, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CNB-CSIC), 28049, Madrid, Spain.
Eduardo DíazDepartment of Microbial and Plant Biotechnology. Centro de Investigaciones Biológicas, Consejo Superior de Investigaciones Científicas (CIB-CSIC), 28040, Madrid, Spain.
Eduardo SanteroCentro Andaluz de Biología del Desarrollo, CSIC-Universidad Pablo de Olavide, ES-41013, Seville, Spain.
Belén FlorianoDepartment of Molecular Biology and Biochemical Engineering. Universidad Pablo de Olavide, ES-41013, Seville, Spain. bflopar@upo.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sphingopyxis granuli strain TFA is an α-proteobacterium that belongs to the sphingomonads, a group of bacteria well-known for its degradative capabilities and oligotrophic metabolism. Strain TFA is the only bacterium in which the mineralisation of the aromatic pollutant tetralin has been completely characterized at biochemical, genetic, and regulatory levels and the first Sphingopyxis characterised as facultative anaerobe. Here we report additional metabolic features of this α-proteobacterium using metabolic modelling and the functional integration of genomic and transcriptomic data. The genome-scale metabolic model (GEM) of strain TFA, which has been manually curated, includes information on 743 genes, 1114 metabolites and 1397 reactions. This represents the largest metabolic model for a member of the Sphingomonadales order thus far. The predictive potential of this model was validated against experimentally calculated growth rates on different carbon sources and under different growth conditions, including both aerobic and anaerobic metabolisms. Moreover, new carbon and nitrogen sources were predicted and experimentally validated. The constructed metabolic model was used as a platform for the incorporation of transcriptomic data, generating a more robust and accurate model. In silico flux analysis under different metabolic scenarios highlighted the key role of the glyoxylate cycle in the central metabolism of strain TFA.

Indexed as

AnaerobiosisBacterial Physiological PhenomenaEnergy MetabolismGenome, BacterialGenomicsMetabolic Networks and PathwaysModels, BiologicalSphingomonadaceaeTetrahydronaphthalenesTetrahydronaphthalenestetralin

Identifiers

PMID32457330
PMCPMC7250832

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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.