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Published on: December 19, 2017
Illuminating the Black Box: Trace Element Biogeochemistry from a Microbial Perspective.
Benjamin D Peterson1,2, Brett A Poulin2
1School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53204, United States.
Microbes transform environmental trace elements like mercury (Hg) and arsenic (As) through metabolism or detoxification. Understanding these microbial processes is key to modeling contaminant fate and human exposure.
Area of Science:
- Environmental microbiology
- Geochemistry
- Biogeochemical cycles
Background:
- Microbial processes significantly impact the environmental fate of trace elements such as mercury (Hg) and arsenic (As).
- Complexities in microbial transformation rates and human impacts hinder accurate environmental modeling.
- Key microbial processes include redox reactions, energy generation, resource limitation, and ecological/evolutionary factors.
Purpose of the Study:
- To highlight critical processes governing microbial activity in trace element transformation.
- To compare and contrast microbial mercury and arsenic cycling, noting genetic underpinnings.
- To advocate for experimental approaches integrating contaminant transformation with microbial community activity.
Main Methods:
- Literature review and synthesis of microbial trace element transformations.
- Comparative analysis of mercury (Hg) and arsenic (As) biogeochemical cycles.
- Discussion of genetic basis for microbial transformations (e.g., hgcAB, mer, arsH).
Main Results:
- Microbial transformations of Hg and As serve diverse roles: metabolism, detoxification, warfare, and unknown functions.
- Specific examples include arsenate to arsenite conversion, Hg(II) to Hg(0) reduction, and As(III) methylation.
- Methylmercury formation from Hg(II) represents a significant toxicological concern.
Conclusions:
- A microbe-centric framework is essential for advancing conceptual and quantitative models.
- Integrating contaminant transformation data with microbial activity metrics is crucial.
- This approach will improve forecasting of environmental and human exposure to trace element contaminants.
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