Copper-tolerant yeasts: Raman spectroscopy in determination of bioaccumulation mechanism
| Autor: | Jelena Jovicic-Petrovic, Vera P. Pavlović, Danka Radic, Vera Raičević, Vera Karličić, Blažo Lalević, Milana M. Lazović |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Environmental remediation Health Toxicology and Mutagenesis Microorganism 010501 environmental sciences Biology Spectrum Analysis Raman 01 natural sciences Candida tropicalis Soil 03 medical and health sciences Bioremediation Yeasts Botany Soil Pollutants Environmental Chemistry Soil Microbiology 0105 earth and related environmental sciences General Medicine biology.organism_classification Bioaccumulation Pollution Soil contamination Yeast Oxidative Stress Biodegradation Environmental 030104 developmental biology Environmental chemistry Raman spectra Inductively coupled plasma Copper |
| Zdroj: | Environmental Science and Pollution Research |
| ISSN: | 1614-7499 0944-1344 |
| DOI: | 10.1007/s11356-017-9817-4 |
| Popis: | Modern, efficient, and cost-effective approach to remediation of heavy metal-contaminated soil is based on the application of microorganisms. In this paper, four isolates from agricultural and urban contaminated soil showed abundant growth in the presence of copper(II) sulfate pentahydrate (CuSO4 center dot 5H(2)O) up to 2 mM. Selected yeasts were identified by molecular methods as Candida tropicalis (three isolates) and Schwanniomyces occidentalis (one isolate). C. tropicalis (4TD1101S) showed the highest percentage of bioaccumulation capabilities (94.37%), determined by the inductively coupled plasma optical emission spectrometry (ICP-OES). The Raman spectra of C. tropicalis (4TD1101S) analyzed in a medium with the addition of 2 mM CuSO4 center dot 5H(2)O showed certain increase in metallothionein production, which represents a specific response of the yeast species to the stress conditions. These results indicate that soil yeasts represent a potential for practical application in the bioremediation of contaminated environments. |
| Databáze: | OpenAIRE |
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