Acidity and sulfur oxidation intermediate concentrations controlled by O2-driven partitioning of sulfur oxidizing bacteria in a mine tailings impoundment

Abstract

AbstractAcidification of freshwater in mining impacted areas is a major global environmental problem catalyzed by sulfur-oxidizing bacteria (SOB). To date, little is known about the active bacteria in mine tailings impoundments and their environmental niches. Here, biological sulfur oxidation was investigated over four years in a mine tailings impoundment, integrating sulfur geochemistry, genome-resolved metagenomics and metatranscriptomics. We demonstrated oxygen driven niche partitioning of SOB and their metabolic pathways that explain acidity generation and thiosulfate persistence. Four chemolithoautotrophic SOB, Halothiobacillus, Thiobacillus, Sulfuricurvum and Sediminibacterium comprised 37% to 73% of the analyzed communities. The impoundment waters alternated between the dominance of Halothiobacillus versus a Thiobacillus, Halothiobacillus, Sulfuricurvum and Sediminibacterium consortia. Halothiobacillus dominance was associated with lower pH values (∼4.3), higher [H+]/[SO42-] and lower [S2O32-], collectively indicative of extensive sulfur oxidation. Halothiobacillus, which couple sulfur oxidation via the Sox pathway to aerobic respiration or NO2- reduction, were present throughout the depth profile, yet their expression of sox genes occurred only in upper highly oxygenated waters. Conversely, when consortia of Thiobacillus, Halothiobacillus, Sulfuricurvum and Sediminibacterium dominated, recycling/disproportionating reactions were more prevalent. Thiobacillus, which dominated deeper micro-oxic/anoxic waters, oxidized sulfur primarily through the rDSR pathway, coupled to NO3-/NO2- reduction, resulting in lower [H+]/[SO42-] and higher [S2O32-] relative to upper waters. These field results mirror the Sox/rDSR-geochemical patterns of experimental SOB enrichments and reveal opportunities for biological treatments of recalcitrant reduced sulfur compounds, as well as gene-based monitoring and in situ RNA detection to predict the onset of problematic geochemistry.