Environmental Research and Education Center, University of São Paulo, CEPEMA-POLI-USP, Conego Domenico Rangoni Rd, 270 km, Cubatão, SP, Brazil.
Institute of Energy and Environment, Environmental Science Graduate Program, University of São Paulo, PROCAM-USP, Professor Luciano Gualberto St, 1289, São Paulo, SP, Brazil.
Environ Sci Pollut Res Int. 2017 Feb;24(4):3717-3726. doi: 10.1007/s11356-016-8125-8. Epub 2016 Nov 25.
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.
铜矿开采污染了土壤和水，导致微生物多样性减少和栖息细菌群落结构发生变化。在这项工作中，采用选择性分离结合 MALDI-TOF MS 和 16S rDNA 方法来对来自铜矿开采样本的可培养细菌群落进行了表征。结果表明，MALDI-TOF MS 分析可以被认为是一种在属水平上从环境样本中鉴定耐铜细菌的可靠且快速的工具。尽管有些结果存在歧义，但通过增强参考数据库可以提高准确性。因此，质谱分析为监测铜污染地点的微生物群提供了一种可靠的方法。对铜污染场地微生物群落多样性的理解有助于了解金属对微生物组的影响，并设计生物修复过程。
