Selenium is a natural trace element that is of fundamental importance to human health. The extreme geographical variation in selenium concentrations in soils and food crops has resulted in significant health problems related to deficient or excess levels of selenium in the environment. To deal with these kinds of problems in the future it is essential to get a better understanding of the processes that control the global distribution of selenium. The recent development of analytical techniques and methods enables accurate selenium measurements of environmental concentrations, which will lead to a better understanding of biogeochemical processes. This improved understanding may enable us to predict the distribution of selenium in areas where this is currently unknown. These predictions are essential to prevent future Se health hazards in a world that is increasingly affected by human activities.

Biology is believed to play a large role in the cycling of iron and manganese in many freshwater environments, but specific microbial groups indigenous to these systems have not been well characterized. To investigate the populations of Bacteria and Archaea associated with metal-rich sediments from Green Bay, WI, we extracted nucleic acids and analysed the phylogenetic relationships of cloned 16S rRNA genes. Because nucleic acids have not been routinely extracted from metal-rich samples, we investigated the bias inherent in DNA extraction and gene amplification from pure MnO2 using defined populations of whole cells or naked DNA. From the sediments, we screened for manganese-oxidizing bacteria using indicator media and found three isolates that were capable of manganese oxidation. In the phylogenetic analysis of bacterial 16S rRNA gene clones, we found two groups related to known metal-oxidizing genera, Leptothrix of the beta-Proteobacteria and Hyphomicrobium of the alpha-Proteobacteria, and a Fe(III)-reducing group related to the Magnetospirillum genus of the alpha-Proteobacteria. Groups related to the metal-reducing delta-Proteobacteria constituted 22% of the gene clones. In addition, gene sequences from one group of methanogens and a group of Crenarchaeota, identified in the archaeal gene clone library, were related to those found previously in Lake Michigan sediments.

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