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

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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.

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Acknowledgements

We gratefully acknowledge Vale, BNDES, and FAPESP (São Paulo Research Foundation) for the financial and technical support. Avanzi I.R. and Gracioso L.H thank FAPESP for the PhD fellowships granted under processes 2012/06600-7 and 2013/11020-2.

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Authors and Affiliations

  1. Environmental Research and Education Center, University of São Paulo, CEPEMA-POLI-USP, Conego Domenico Rangoni Rd, 270 km, Cubatão, SP, Brazil

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

  2. Institute of Energy and Environment, Environmental Science Graduate Program, University of São Paulo, PROCAM-USP, Professor Luciano Gualberto St, 1289, São Paulo, SP, Brazil

    Ingrid Regina Avanzi & Claudio Augusto Oller do Nascimento

  3. Chemical Engineering Department, University of São Paulo, POLI-USP, Lineu Prestes Ave, 580, São Paulo, SP, Brazil

    Marcela dos Passos Galluzzi Baltazar & Claudio Augusto Oller do Nascimento

  4. Department of Marine Sciences, Federal University of São Paulo, Imar-Unifesp, Alm. Saldanha da Gama Ave, 89, Santos, SP, Brazil

    Elen Aquino Perpetuo

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  1. Ingrid Regina Avanzi
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  2. Louise Hase Gracioso
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Correspondence to Ingrid Regina Avanzi.

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Avanzi, I.R., Gracioso, L.H., Baltazar, M.d.P.G. et al. Rapid bacteria identification from environmental mining samples using MALDI-TOF MS analysis. Environ Sci Pollut Res 24, 3717–3726 (2017). https://doi.org/10.1007/s11356-016-8125-8

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  • DOI: https://doi.org/10.1007/s11356-016-8125-8

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