Diverse microbial metal resistance and novel metal cycling organisms in copper/nickel mine tailings

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ID: 326883
2026
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Abstract
Abstract Mine tailings contribute to environmental heavy metal contamination through the formation of acid mine drainage (AMD). Microbially-mediated processes such as iron and sulfur redox cycling influence metal mobility. Here, we applied an integrated metagenomic and metaproteomic approach to profile microbial communities across vertical geochemical gradients in legacy copper/nickel tailings in Sudbury, Ontario, Canada. From 43 samples, we recovered 454 non-redundant metagenome-assembled genomes (MAGs), revealing diverse populations within the Actinobacteriota, Desulfobacterota, and uncultured lineages such as Candidatus Eremiobacterota and SZUA-79. Functional profiling identified 301 putative iron- and sulfur-cycling MAGs, including those within the Ca. Eremiobacterota and SZUA-79 phyla. A custom set of Hidden Markov Models (HMMs) was used to annotate metal resistance genes, which were widespread and diverse, but whose abundances did not correlate with measured Cu, Ni, or Fe concentrations. This observation suggests that resistance traits are broadly encoded in these microbial communities regardless of environmental metal concentrations. Proteomic data confirmed in situ expression of selected metal resistance genes and iron/sulfur metabolism genes, although protein recovery was limited due to the difficult nature of mine tailings as an extraction matrix. Our findings highlight both the depth of microbial diversity in metal resistance and metal biogeochemical cycling in mining waste, as well as the technical challenges that currently limit genomic and proteomic sequencing coverage in low-biomass, metal-rich matrices.
Reference Key
openalex_W7131854930 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Molly Chen, Daniel S. Grégoire, Jeffrey G S Bain, David W. Blowes, Laura A Hug
Journal metallomics : integrated biometal science
Year 2026
DOI
10.1093/mtomcs/mfag028
URL
https://doi.org/10.1093/mtomcs/mfag028
Keywords Keywords not found

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