Chronic trace metals effects of mine tailings on estuarine assemblages revealed by environmental DNA

• Published in: PeerJ (San Francisco, CA) Vol. 7; p. e8042
• Main Authors: Bernardino, Angelo F, Pais, Fabiano S, Oliveira, Louisi S, Gabriel, Fabricio A, Ferreira, Tiago O, Queiroz, Hermano M, Mazzuco, Ana Carolina A
• Format: Journal Article
• Language: English
• Published: United States PeerJ, Inc 07-11-2019; PeerJ Inc
• Subjects: Aquatic ecosystems; Benthos; Biodiversity; Biological Oceanography; Chronic effects; Contamination; Deoxyribonucleic acid; DNA; Ecosystems; Environmental DNA; Environmental Impacts; Estuaries; Estuary; Grain size; Heavy metals; Impacts; Laboratories; Meiofauna; Metals; Morphology; Multivariate analysis; Particle size; Pollution; River basins; Rivers; Salinity; Samarco; Sediments; Taxonomy; Trace metals; Brazil; United States > US; Meiofauna; Impacts; Pollution; Samarco; Rio; Benthos; Doce; Estuary
• ISSN: 2167-8359; 2167-8359
• DOI: 10.7717/peerj.8042

Mine tailing disasters have occurred worldwide and contemporary release of tailings of large proportions raise concerns of the chronic impacts that trace metals may have on the aquatic biodiversity. Environmental metabarcoding (eDNA) offers an as yet poorly explored opportunity for biological monitoring of impacted aquatic ecosystems from mine tailings and contaminated sediments. eDNA has been increasingly recognized to be an effective method to detect previously unrecognized small-sized Metazoan taxa, but their ecological responses to environmental pollution has not been assessed by metabarcoding. Here, we evaluated chronic effects of trace metal contamination from sediment eDNA of the Rio Doce estuary, 1.7 years after the Samarco mine tailing disaster, which released over 40 million m
of iron tailings in the Rio Doce river basin. We identified 123 new sequence variants environmental taxonomic units (eOTUs) of benthic taxa and an assemblage composition dominated by Nematoda, Crustacea and Platyhelminthes; typical of other estuarine ecosystems. We detected environmental filtering on the meiofaunal assemblages and multivariate analysis revealed strong influence of Fe contamination, supporting chronic impacts from mine tailing deposition in the estuary. This was in contrast to environmental filtering of meiofaunal assemblages of non-polluted estuaries. Here, we suggest that the eDNA metabarcoding technique provides an opportunity to fill up biodiversity gaps in coastal marine ecology and may become a valid method for long term monitoring studies in mine tailing disasters and estuarine ecosystems with high trace metals content.