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

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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
et al.
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2024
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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.

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Nature Communications

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15

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1

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© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Marine and estuarine ecology (incl. marine ichthyology)

Freshwater ecology

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Perry, WB; Seymour, M; Orsini, L; Jâms, IB; Milner, N; Edwards, F; Harvey, R; de Bruyn, M; Bista, I; Walsh, K; Emmett, B; Blackman, R; Altermatt, F; Lawson Handley, L; Mächler, E; et al., An integrated spatio-temporal view of riverine biodiversity using environmental DNA metabarcoding, Nature Communications, 2024, 15 (1)

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