Evidence map›Paper›PMID 27785708›Full record

ArticleWorld journal of microbiology & biotechnology2016

Insights into the degradation capacities of Amycolatopsis tucumanensis DSM 45259 guided by microarray data.

Natalia Bourguignon, Rafael Bargiela, David Rojo, Tatyana N Chernikova, Sara A López de Rodas, Jesús García-Cantalejo, Daniela J Näther, Peter N Golyshin, Coral Barbas, Marcela Ferrero and 1 more

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In one paragraph

Article in World journal of microbiology & biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 6 institutions in 5 countries.

Natalia BourguignonPlanta Piloto de Procesos Industriales Microbiológicos (PROIMI-CONICET), Tucumán, Argentina.
Rafael BargielaConsejo Superior de Investigaciones Científicas (CSIC), Institute of Catalysis, Madrid, Spain.
David RojoCentro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Monteprincipe, Boadilla del Monte, Madrid, Spain.
Tatyana N ChernikovaSchool of Biological Sciences, Bangor University, Gwynedd, LL57 2UW, UK.
Sara A López de RodasUnidad de Genómica-Campus Moncloa, C.A.I. Genómica y Proteómica, Facultad CC. Biológicas, Universidad Complutense de Madrid, Madrid, Spain.
Jesús García-CantalejoUnidad de Genómica-Campus Moncloa, C.A.I. Genómica y Proteómica, Facultad CC. Biológicas, Universidad Complutense de Madrid, Madrid, Spain.
Daniela J NätherInstitute for Microbiology, Biocentre, Goethe University, Frankfurt, Germany.
Peter N GolyshinSchool of Biological Sciences, Bangor University, Gwynedd, LL57 2UW, UK.
Coral BarbasCentro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Monteprincipe, Boadilla del Monte, Madrid, Spain.
Marcela FerreroPlanta Piloto de Procesos Industriales Microbiológicos (PROIMI-CONICET), Tucumán, Argentina.
Manuel FerrerConsejo Superior de Investigaciones Científicas (CSIC), Institute of Catalysis, Madrid, Spain. mferrer@icp.csic.es.ORCID http://orcid.org/0000-0003-4962-4714
Bangor University · GBConsejo Nacional de Investigaciones Científicas y Técnicas · ARConsejo Superior de Investigaciones Científicas · ESUniversidad Complutense de Madrid · ESUniversidad San Pablo CEU · ESGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of catabolic capacities of microorganisms is currently often achieved by cultivation approaches and by the analysis of genomic or metagenomic datasets. Recently, a microarray system designed from curated key aromatic catabolic gene families and key alkane degradation genes was designed. The collection of genes in the microarray can be exploited to indicate whether a given microbe or microbial community is likely to be functionally connected with certain degradative phenotypes, without previous knowledge of genome data. Herein, this microarray was applied to capture new insights into the catabolic capacities of copper-resistant actinomycete Amycolatopsis tucumanensis DSM 45259. The array data support the presumptive ability of the DSM 45259 strain to utilize single alkanes (n-decane and n-tetradecane) and aromatics such as benzoate, phthalate and phenol as sole carbon sources, which was experimentally validated by cultivation and mass spectrometry. Interestingly, while in strain DSM 45259 alkB gene encoding an alkane hydroxylase is most likely highly similar to that found in other actinomycetes, the genes encoding benzoate 1,2-dioxygenase, phthalate 4,5-dioxygenase and phenol hydroxylase were homologous to proteobacterial genes. This suggests that strain DSM 45259 contains catabolic genes distantly related to those found in other actinomycetes. Together, this study not only provided new insight into the catabolic abilities of strain DSM 45259, but also suggests that this strain contains genes uncommon within actinomycetes.

Indexed as

ActinobacteriaAlkanesBacterial ProteinsBiodegradation, EnvironmentalCopperEvolution, MolecularMetabolismOligonucleotide Array Sequence AnalysisSequence Analysis, DNAAlkanesBacterial ProteinsCopperAlkanesAmycolatopsis tucumanensisAromaticsCatabolomeDegradationMicroarray

Identifiers

PMID27785708
OpenAlexW2544288088

What OpenQuestion holds

Textmetadata
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.