Evidence map›Paper›PMID 32221328›Full record

ArticleScientific reports2020

Genome-scale metabolic models of Microbacterium species isolated from a high altitude desert environment.

Dinka Mandakovic, Ángela Cintolesi, Jonathan Maldonado, Sebastián N Mendoza, Méziane Aïte, Alexis Gaete, Francisco Saitua, Miguel Allende, Verónica Cambiazo, Anne Siegel and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Complete genome sequence ofMicrobiology resource announcements · 2026
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  4. Genomic description ofmSystems · 2025
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  15. Review
  16. The Burkholderia pseudomalleiMicrobiology spectrum · 2021
    Article
  17. 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

13 authors.

Dinka Mandakovic *Laboratorio de Bioinformática y Expresión Génica, INTA-Universidad de Chile, El Líbano, 5524, Santiago, Chile.
Ángela Cintolesi *Fondap Center for Genome Regulation (CGR), Avenida Blanco Encalada, 2085, Santiago, Chile.
Jonathan MaldonadoLaboratorio de Bioinformática y Expresión Génica, INTA-Universidad de Chile, El Líbano, 5524, Santiago, Chile.
Sebastián N MendozaFondap Center for Genome Regulation (CGR), Avenida Blanco Encalada, 2085, Santiago, Chile.ORCID http://orcid.org/0000-0002-2192-5569
Méziane AïteIRISA, UMR 6074, CNRS, Rennes, France.
Alexis GaeteLaboratorio de Bioinformática y Expresión Génica, INTA-Universidad de Chile, El Líbano, 5524, Santiago, Chile.
Francisco SaituaDepartment of Chemical and Bioprocess Engineering, School of Engineering, Pontificia Universidad Católica de Chile, Avenida Vicuña Mackenna, 4860, Santiago, Chile.
Miguel AllendeFondap Center for Genome Regulation (CGR), Avenida Blanco Encalada, 2085, Santiago, Chile.
Verónica CambiazoLaboratorio de Bioinformática y Expresión Génica, INTA-Universidad de Chile, El Líbano, 5524, Santiago, Chile.
Anne SiegelIRISA, UMR 6074, CNRS, Rennes, France.
Alejandro MaassFondap Center for Genome Regulation (CGR), Avenida Blanco Encalada, 2085, Santiago, Chile.
Mauricio GonzálezLaboratorio de Bioinformática y Expresión Génica, INTA-Universidad de Chile, El Líbano, 5524, Santiago, Chile. mgonzale@inta.uchile.cl.
Mauricio LatorreLaboratorio de Bioinformática y Expresión Génica, INTA-Universidad de Chile, El Líbano, 5524, Santiago, Chile. mauricio.latorre@uoh.cl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Atacama Desert is the most arid desert on Earth, focus of important research activities related to microbial biodiversity studies. In this context, metabolic characterization of arid soil bacteria is crucial to understand their survival strategies under extreme environmental stress. We investigated whether strain-specific features of two Microbacterium species were involved in the metabolic ability to tolerate/adapt to local variations within an extreme desert environment. Using an integrative systems biology approach we have carried out construction and comparison of genome-scale metabolic models (GEMs) of two Microbacterium sp., CGR1 and CGR2, previously isolated from physicochemically contrasting soil sites in the Atacama Desert. Despite CGR1 and CGR2 belong to different phylogenetic clades, metabolic pathways and attributes are highly conserved in both strains. However, comparison of the GEMs showed significant differences in the connectivity of specific metabolites related to pH tolerance and CO

Indexed as

ActinobacteriaAdaptation, PhysiologicalAltitudeBacterial ProteinsBiodiversityDesert ClimateGenome, BacterialHydrogen-Ion ConcentrationMetabolic Networks and PathwaysPhylogenySoilSoil MicrobiologyBacterial ProteinsSoil

Identifiers

PMID32221328
PMCPMC7101325

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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.