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

Author

Listed:
  • William Bernard Perry

    (Bangor University
    Cardiff University)

  • Mathew Seymour

    (The University of Hong Kong)

  • Luisa Orsini

    (University of Birmingham)

  • Ifan Bryn Jâms

    (Cardiff University)

  • Nigel Milner

    (Bangor University)

  • François Edwards

    (A17 Embankment Business Park, Heaton Mersey)

  • Rachel Harvey

    (Environment Centre Wales)

  • Mark Bruyn

    (School of Environment and Science)

  • Iliana Bista

    (LOEWE Centre for Translational Biodiversity Genomics
    Senckenberg Research Institute
    Darwinweg 2
    Wellcome Genome Campus)

  • Kerry Walsh

    (Horizon House)

  • Bridget Emmett

    (Environment Centre Wales)

  • Rosetta Blackman

    (Eawag: Swiss Federal Institute of Aquatic Science and Technology
    University of Zurich
    University of Hull (UoH))

  • Florian Altermatt

    (Eawag: Swiss Federal Institute of Aquatic Science and Technology
    University of Zurich)

  • Lori Lawson Handley

    (University of Hull (UoH))

  • Elvira Mächler

    (Eawag: Swiss Federal Institute of Aquatic Science and Technology)

  • Kristy Deiner

    (ETH Zurich)

  • Holly M. Bik

    (University of Georgia)

  • Gary Carvalho

    (Bangor University)

  • John Colbourne

    (University of Birmingham)

  • Bernard Jack Cosby

    (Environment Centre Wales)

  • Isabelle Durance

    (Cardiff University)

  • Simon Creer

    (Bangor University)

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.

Suggested Citation

  • William Bernard Perry & Mathew Seymour & Luisa Orsini & Ifan Bryn Jâms & Nigel Milner & François Edwards & Rachel Harvey & Mark Bruyn & Iliana Bista & Kerry Walsh & Bridget Emmett & Rosetta Blackman &, 2024. "An integrated spatio-temporal view of riverine biodiversity using environmental DNA metabarcoding," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48640-3
    DOI: 10.1038/s41467-024-48640-3
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    References listed on IDEAS

    as
    1. Iliana Bista & Gary R. Carvalho & Kerry Walsh & Mathew Seymour & Mehrdad Hajibabaei & Delphine Lallias & Martin Christmas & Simon Creer, 2017. "Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity," Nature Communications, Nature, vol. 8(1), pages 1-11, April.
    2. Paul J McMurdie & Susan Holmes, 2014. "Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-12, April.
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