Evidence map›Paper›PMID 27888481›Full record

ArticleEnvironmental science and pollution research international2017

Rapid bacteria identification from environmental mining samples using MALDI-TOF MS analysis.

Ingrid Regina Avanzi, Louise Hase Gracioso, Marcela Dos Passos Galluzzi Baltazar, Bruno Karolski, Elen Aquino Perpetuo, Claudio Augusto Oller do Nascimento

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  9. Identification of Pathogenic Bacteria from Public Libraries via Proteomics Analysis.International journal of environmental research and public health · 2019
    Article
  10. Article
  11. 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

6 authors.

Ingrid Regina AvanziEnvironmental Research and Education Center, University of São Paulo, CEPEMA-POLI-USP, Conego Domenico Rangoni Rd, 270 km, Cubatão, SP, Brazil. avanzi@usp.br.
Louise Hase GraciosoEnvironmental Research and Education Center, University of São Paulo, CEPEMA-POLI-USP, Conego Domenico Rangoni Rd, 270 km, Cubatão, SP, Brazil.
Marcela Dos Passos Galluzzi BaltazarEnvironmental Research and Education Center, University of São Paulo, CEPEMA-POLI-USP, Conego Domenico Rangoni Rd, 270 km, Cubatão, SP, Brazil.
Bruno KarolskiEnvironmental Research and Education Center, University of São Paulo, CEPEMA-POLI-USP, Conego Domenico Rangoni Rd, 270 km, Cubatão, SP, Brazil.
Elen Aquino PerpetuoEnvironmental Research and Education Center, University of São Paulo, CEPEMA-POLI-USP, Conego Domenico Rangoni Rd, 270 km, Cubatão, SP, Brazil.
Claudio Augusto Oller do NascimentoEnvironmental Research and Education Center, University of São Paulo, CEPEMA-POLI-USP, Conego Domenico Rangoni Rd, 270 km, Cubatão, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copper mining has polluted soils and water, causing a reduction of the microbial diversity and a change in the structure of the resident bacterial communities. In this work, selective isolation combined with MALDI-TOF MS and the 16S rDNA method were used for characterizing cultivable bacterial communities from copper mining samples. The results revealed that MALDI-TOF MS analysis can be considered a reliable and fast tool for identifying copper-resistant bacteria from environmental samples at the genera level. Even though some results were ambiguous, accuracy can be improved by enhancing reference databases. Therefore, mass spectra analysis provides a reliable method to facilitate monitoring of the microbiota from copper-polluted sites. The understanding of the microbial community diversity in copper-contaminated sites can be helpful to understand the impact of the metal on the microbiome and to design bioremediation processes.

Indexed as

Spectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBacteriaCopperMiningRNA, Ribosomal, 16STime FactorsCopperRNA, Ribosomal, 16SBiotyperEnvironmental microbiologyHeavy metalsMass spectrometryMetal toleranceSpecies identification

Identifiers

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.