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Space-time dynamics in monitoring neotropical fish communities using eDNA metabarcoding.

Authors
  • Sales, Naiara Guimarães1
  • Wangensteen, Owen Simon2
  • Carvalho, Daniel Cardoso3
  • Deiner, Kristy4
  • Præbel, Kim2
  • Coscia, Ilaria5
  • McDevitt, Allan D5
  • Mariani, Stefano6
  • 1 Ecosystems and Environment Research Centre, School of Science, Engineering and Environment, University of Salford, UK; CESAM - Centre for Environmental and Marine Studies, Departamento de Biologia Animal, Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal. Electronic address: [email protected] , (Portugal)
  • 2 Norwegian College of Fishery Science, UiT - The Arctic University of Norway, Tromsø, Norway. , (Norway)
  • 3 Programa de Pós-graduação em Biologia de Vertebrados, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, Brazil. , (Brazil)
  • 4 Life Sciences, Natural History Museum, London, UK.
  • 5 Ecosystems and Environment Research Centre, School of Science, Engineering and Environment, University of Salford, UK.
  • 6 Ecosystems and Environment Research Centre, School of Science, Engineering and Environment, University of Salford, UK; School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, UK.
Type
Published Article
Journal
The Science of the total environment
Publication Date
Sep 01, 2020
Volume
754
Pages
142096–142096
Identifiers
DOI: 10.1016/j.scitotenv.2020.142096
PMID: 32898783
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

The biodiverse Neotropical ecoregion remains insufficiently assessed, poorly managed, and threatened by unregulated human activities. Novel, rapid and cost-effective DNA-based approaches are valuable to improve understanding of the biological communities and for biomonitoring in remote areas. Here, we evaluate the potential of environmental DNA (eDNA) metabarcoding for assessing the structure and distribution of fish communities by analysing water and sediment from 11 locations along the Jequitinhonha River catchment (Brazil). Each site was sampled twice, before and after a major rain event in a five-week period and fish diversity was estimated using high-throughput sequencing of 12S rRNA amplicons. In total, 252 Molecular Operational Taxonomic Units (MOTUs) and 34 fish species were recovered, including endemic, introduced, and previously unrecorded species for this basin. Spatio-temporal variation of eDNA from fish assemblages was observed and species richness was nearly twice as high before the major rain event compared to afterwards. Yet, peaks of diversity were primarily associated with only four of the locations. No correlation between β-diversity and longitudinal distance or presence of dams was detected, but low species richness observed at sites located near dams might that these anthropogenic barriers may have an impact on local fish diversity. Unexpectedly high α-diversity levels recorded at the river mouth suggest that these sections should be further evaluated as putative "eDNA reservoirs" for rapid monitoring. By uncovering spatio-temporal changes, unrecorded biodiversity components, and putative anthropogenic impacts on fish assemblages, we further strengthen the potential of eDNA metabarcoding as a biomonitoring tool, especially in regions often neglected or difficult to access. Copyright © 2020 Elsevier B.V. All rights reserved.

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