An integrated spatio-temporal view of riverine biodiversity using environmental DNA metabarcoding

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DOI

  • William Bernard Perry
  • Mathew Seymour
    The University of Hong Kong
  • Luisa Orsini
    University of Birmingham
  • Ifan Bryn Jâms
    Cardiff University
  • Nigel Milner
  • François Edwards
    APEM Ltd
  • Rachel Harvey
    UK Centre for Ecology & Hydrology
  • Mark de Bruyn
    Australian Research Centre for Human EvolutionSchool of Environment and ScienceGriffith University, Queensland
  • Iliana Bista
    LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt
  • Kerry Walsh
    Environment Agency
  • Bridget Emmett
    UK Centre for Ecology & Hydrology
  • Rosetta Blackman
    Eawag Swiss Federal Institute of Aquatic Science and Technology
  • Florian Altermatt
    Eawag Swiss Federal Institute of Aquatic Science and Technology
  • Lori Lawson Handley
    University of Hull (UoH)
  • Elvira Mächler
    Eawag Swiss Federal Institute of Aquatic Science and Technology
  • Kristy Deiner
    Institute of Biogeochemistry and Pollutant Dynamics (IBP)
  • Holly M Bik
    University of Georgia
  • Gary Carvalho
  • John Colbourne
    University of Birmingham
  • Bernard Jack Cosby
    UK Centre for Ecology & Hydrology
  • Isabelle Durance
    Cardiff University
  • Simon Creer

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.

Keywords

  • Biodiversity, Rivers, DNA, Environmental/genetics, DNA Barcoding, Taxonomic/methods, Animals, Fishes/genetics, Europe, Ecosystem, North America, Spatio-Temporal Analysis, Seasons
Original languageEnglish
Pages (from-to)4372
JournalNature Communications
Volume15
Issue number1
DOIs
Publication statusPublished - 23 May 2024
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