Characterizing the spatial distributions of soil biota at a legacy base metal mine using environmental DNA.

Autor: Kavehei A; Department of Earth and Environmental Sciences, Macquarie University, Sydney, 2109, Australia. Electronic address: armin.kavehei@mq.edu.au., Gore DB; Department of Earth and Environmental Sciences, Macquarie University, Sydney, 2109, Australia., Chariton AA; Department of Biological Sciences, Macquarie University, Sydney, 2109, Australia., Hose GC; Department of Biological Sciences, Macquarie University, Sydney, 2109, Australia.
Jazyk: angličtina
Zdroj: Chemosphere [Chemosphere] 2022 Jan; Vol. 286 (Pt 3), pp. 131899. Date of Electronic Publication: 2021 Aug 18.
DOI: 10.1016/j.chemosphere.2021.131899
Abstrakt: Characterizing the distribution of biota in response to contaminants is a critical element of site risk assessments. In this study we investigated the spatial distributions of biota and soil chemistry data in surface soil from Sunny Corner, a legacy base metal sulfide mine, Australia. Our results showed that copper (Cu), zinc (Zn), arsenic (As) and lead (Pb) in the surface soil exceeded Australian national soil quality guidelines and posed risks to the environment. Environmental (e)DNA metabarcoding of prokaryote and eukaryote composition confirmed the suggestion of environmental risk posed by these elements collectively explaining 72.9 % and 60.5 % of the total variation in the composition of soil prokaryotes and eukaryotes, respectively. Prokaryotic taxa from the phyla Gemmatimonadetes, Verrucomicrobia and Deinococcus-Thermus showed similar spatial patterns to As and Pb, and were positively correlated. Eukaryotic taxa from the phylum Chlorophyta had similar positive correlations with As and Pb in the soil. In contrast, Amoebozoa and Cercozoa, were sensitive to metals and metalloids, having higher relative abundances in soils with lower concentrations of contaminants. Our study shows that metabarcoding is a promising ecological approach for rapid, large scale assessment of contaminated and potentially impacted sites.
(Copyright © 2021 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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