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An integrated spatio-temporal view of riverine biodiversity using environmental DNA metabarcoding.
Perry, William Bernard; Seymour, Mathew; Orsini, Luisa; Jâms, Ifan Bryn; Milner, Nigel; Edwards, François; Harvey, Rachel; de Bruyn, Mark; Bista, Iliana; Walsh, Kerry; Emmett, Bridget; Blackman, Rosetta; Altermatt, Florian; Lawson Handley, Lori; Mächler, Elvira; Deiner, Kristy; Bik, Holly M; Carvalho, Gary; Colbourne, John; Cosby, Bernard Jack; Durance, Isabelle; Creer, Simon.
Afiliação
  • Perry WB; Molecular Ecology and Evolution at Bangor (MEEB), School of Biological Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK. perryw1@cardiff.ac.uk.
  • Seymour M; Water Research Institute, Cardiff University, Cardiff, CF10 3AX, UK. perryw1@cardiff.ac.uk.
  • Orsini L; The University of Hong Kong, Hong Kong SAR, China. matsey@hku.hk.
  • Jâms IB; Environmental Genomics Group, School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
  • Milner N; Water Research Institute, Cardiff University, Cardiff, CF10 3AX, UK.
  • Edwards F; Molecular Ecology and Evolution at Bangor (MEEB), School of Biological Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK.
  • Harvey R; APEM Ltd, A17 Embankment Business Park, Heaton Mersey, Manchester, SK4 3GN, UK.
  • de Bruyn M; Centre for Ecology & Hydrology, Environment Centre Wales, Bangor, LL57 2UW, UK.
  • Bista I; Australian Research Centre for Human Evolution, School of Environment and Science, Griffith University, Queensland, 4111, Australia.
  • Walsh K; LOEWE Centre for Translational Biodiversity Genomics, 60325, Frankfurt, Germany.
  • Emmett B; Senckenberg Research Institute, 60325, Frankfurt, Germany.
  • Blackman R; Naturalis Biodiversity Center, Darwinweg 2, 2333, Leiden, Netherlands.
  • Altermatt F; Wellcome Sanger Institute, Tree of Life, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
  • Lawson Handley L; Environment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, UK.
  • Mächler E; Centre for Ecology & Hydrology, Environment Centre Wales, Bangor, LL57 2UW, UK.
  • Deiner K; Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland.
  • Bik HM; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057, Zürich, Switzerland.
  • Carvalho G; Evolutionary Biology Group (@EvoHull), Department of Biological and Marine Sciences, University of Hull (UoH), Cottingham Road, Hull, HU6 7RX, UK.
  • Colbourne J; Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland.
  • Cosby BJ; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057, Zürich, Switzerland.
  • Durance I; Evolutionary Biology Group (@EvoHull), Department of Biological and Marine Sciences, University of Hull (UoH), Cottingham Road, Hull, HU6 7RX, UK.
  • Creer S; Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland.
Nat Commun ; 15(1): 4372, 2024 May 23.
Article em En | MEDLINE | ID: mdl-38782932
ABSTRACT
Anthropogenically forced changes in global freshwater biodiversity demand more efficient monitoring approaches. Consequently, environmental DNA (eDNA) analysis is enabling ecosystem-scale biodiversity assessment, yet the appropriate spatio-temporal resolution of robust biodiversity assessment remains ambiguous. Here, using intensive, spatio-temporal eDNA sampling across space (five rivers in Europe and North America, with an upper range of 20-35 km between samples), time (19 timepoints between 2017 and 2018) and environmental conditions (river flow, pH, conductivity, temperature and rainfall), we characterise the resolution at which information on diversity across the animal kingdom can be gathered from rivers using eDNA. In space, beta diversity was mainly dictated by turnover, on a scale of tens of kilometres, highlighting that diversity measures are not confounded by eDNA from upstream. Fish communities showed nested assemblages along some rivers, coinciding with habitat use. Across time, seasonal life history events, including salmon and eel migration, were detected. Finally, effects of environmental conditions were taxon-specific, reflecting habitat filtering of communities rather than effects on DNA molecules. We conclude that riverine eDNA metabarcoding can measure biodiversity at spatio-temporal scales relevant to species and community ecology, demonstrating its utility in delivering insights into river community ecology during a time of environmental change.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Biodiversidade / Rios / Código de Barras de DNA Taxonômico / Peixes / DNA Ambiental Limite: Animals País/Região como assunto: America do norte / Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Biodiversidade / Rios / Código de Barras de DNA Taxonômico / Peixes / DNA Ambiental Limite: Animals País/Região como assunto: America do norte / Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article