Elucidating the Composition of Dissolved Organic Matter and the Diversity of Carbon- and Sulfur-Cycling Microorganisms in High-Sulfate Coal Mine Water
摘要
Coal mine water containing high sulfate concentrations presents environmental challenges. This study systematically investigated coal mines in Upper Carboniferous and Lower Permian coalfields, where coal mine water generally contains elevated sulfate. Mine water samples were collected in 13 active mines to elucidate the composition of dissolved organic matter (DOM) using multi-spectral methods and identify the microbial community characteristics via high-throughput 16S rRNA gene sequencing. Coal mines were categorized into four groups based on sulfate concentration (Group A: < 250 mg/L; B: 250–1000 mg/L; C: 1000–2000 mg/L; D: > 2000 mg/L). The dissolved organic carbon and absorption coefficient a(350) of the DOM were higher in mine water with greater sulfate content. The spectral slope S275-295 and specific ultraviolet absorbance SUVA254 indicated that higher sulfate content correlates with less molecular weight and stronger aromaticity of the organic matter in the mine water. The DOM predominantly comprised two protein-like components, C1 and C2 (C1 + C2: 67%), and microbial humic-like component (C3: 33%), with fluorescence intensity peaking in Group B. Microbial richness and diversity (Chao1, Shannon indices) were greatest in Group B and lowest in Group D. Proteobacteria dominated the bacterial communities (47%–95%), while sulfate concentrations critically shaped genus-level composition (e.g. Acidovorax in low-sulfate; Acinetobacter in high-sulfate). Functional annotation (FAPROTAX) revealed chemoheterotrophy (29%) and aerobic chemoheterotrophy (24%) as dominant metabolic pathways. Carbon cycling activity was most robust in Groups A and D (75%, 74%), whereas sulfur cycling peaked in Group A (2%). DOM aromaticity (SUVA254) correlated positively with sulfate levels and specific genera (e.g. Methylomonas). These findings demonstrate that sulfate gradients drive interdependent shifts in DOM characteristics and microbial community structure/function, highlighting their synergistic roles in biogeochemical cycling within mining ecosystems.