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Seasonal variation in metabolic profiles and microbial communities in a subarctic ore processing plant

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Abstract

The mining industry strives to reduce its water footprint by recycling water in ore processing. This leads to build-up of ions, flotation chemicals and microbial biomass, which may affect the process. The Boliden Kevitsa mine in Northern Finland is exposed to seasonal change and recycles up to 90% of the process water. We studied the variation in size, composition and putative functions of microbial communities in summer and winter in the ore processing plant. The raw water, Cu and Ni thickener overflow waters had statistically significantly higher bacterial numbers in winter compared to summer, and specific summer and winter communities were identified. Metagenomic analysis indicated that Cu and Hg resistance genes, sulphate/thiosulphate, molybdate, iron(III) and zinc ABC transporters, nitrate reduction, denitrification, thiosulphate oxidation and methylotrophy were more common in winter than in summer. Raw water drawn from the nearby river did not affect the microbial communities in the process samples, indicating that the microbial communities and metabolic capacities develop within the process over time in response to the conditions in the processing plant, water chemistry, used chemicals, ore properties and seasonal variation. We propose that the microbial community structures are unique to the Boliden Kevitsa mine and processing plant.
Original languageEnglish
Article numbere13284
Number of pages23
JournalEnvironmental Microbiology Reports
Volume16
Issue number3
DOIs
Publication statusPublished - Jun 2024
MoE publication typeA1 Journal article-refereed

Funding

This work was funded by the H2020 Horizon Europe Framework\u00A0(Grant agreement# 730480). The Boliden Kevitsa mine, especially Benjamin Musuku, is acknowledged for providing sampling opportunities and assistance during the sampling campaigns. The ITERAMS project consortium is thanked for taking part in the sampling campaigns. N\u00F3ra Schreithofer and Thi Minh Khanh Le (Aalto University) are thanked for providing chemistry data. Panu Lahtinen (VTT) is thanked for providing anionic nanocellulose for the custom DNA extraction method. Mirva Pyrh\u00F6nen and Tuula Kuurila (VTT) are thanked for their excellent assistance in the laboratory.

Keywords

  • Seasons
  • Mining
  • Bacteria/classification
  • Finland
  • Microbiota
  • Water Microbiology
  • Metagenomics

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