Evidence map›Paper›PMID 38782932›Full record

ArticleNature communications2024

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

William Bernard Perry, Mathew Seymour, Luisa Orsini, Ifan Bryn Jâms, Nigel Milner, François Edwards, Rachel Harvey, Mark de Bruyn, Iliana Bista, Kerry Walsh and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

William Bernard Perry *Molecular Ecology and Evolution at Bangor (MEEB), School of Biological Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK. perryw1@cardiff.ac.uk.ORCID http://orcid.org/0000-0001-9596-3333
Mathew Seymour *The University of Hong Kong, Hong Kong SAR, China. matsey@hku.hk.ORCID http://orcid.org/0000-0002-3654-4857
Luisa OrsiniEnvironmental Genomics Group, School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.ORCID http://orcid.org/0000-0002-1716-5624
Ifan Bryn JâmsWater Research Institute, Cardiff University, Cardiff, CF10 3AX, UK.
Nigel MilnerMolecular Ecology and Evolution at Bangor (MEEB), School of Biological Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK.
François EdwardsAPEM Ltd, A17 Embankment Business Park, Heaton Mersey, Manchester, SK4 3GN, UK.ORCID http://orcid.org/0000-0001-9875-6663
Rachel HarveyCentre for Ecology & Hydrology, Environment Centre Wales, Bangor, LL57 2UW, UK.
Mark de BruynAustralian Research Centre for Human Evolution, School of Environment and Science, Griffith University, Queensland, 4111, Australia.ORCID http://orcid.org/0000-0003-1528-9604
Iliana BistaLOEWE Centre for Translational Biodiversity Genomics, 60325, Frankfurt, Germany.
Kerry WalshEnvironment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, UK.
Bridget EmmettCentre for Ecology & Hydrology, Environment Centre Wales, Bangor, LL57 2UW, UK.
Rosetta BlackmanDepartment of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland.
Florian AltermattDepartment of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland.ORCID http://orcid.org/0000-0002-4831-6958
Lori Lawson HandleyEvolutionary Biology Group (@EvoHull), Department of Biological and Marine Sciences, University of Hull (UoH), Cottingham Road, Hull, HU6 7RX, UK.
Elvira MächlerDepartment of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland.
Kristy DeinerInstitute of Biogeochemistry and Pollutant Dynamics (IBP), ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-9755-3223
Holly M BikDepartment of Marine Sciences and Institute of Bioinformatics, University of Georgia, Georgia, USA.
Gary CarvalhoMolecular Ecology and Evolution at Bangor (MEEB), School of Biological Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK.ORCID http://orcid.org/0000-0002-9509-7284
John ColbourneEnvironmental Genomics Group, School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
Bernard Jack CosbyCentre for Ecology & Hydrology, Environment Centre Wales, Bangor, LL57 2UW, UK.
Isabelle DuranceWater Research Institute, Cardiff University, Cardiff, CF10 3AX, UK.ORCID http://orcid.org/0000-0002-4138-3349
Simon CreerMolecular Ecology and Evolution at Bangor (MEEB), School of Biological Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK. s.creer@bangor.ac.uk.ORCID http://orcid.org/0000-0003-3124-3550

Funding

RCUK | Natural Environment Research Council (NERC) NE/N006216/1
6 · The paper itself

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.

Indexed as

BiodiversityDNA Barcoding, TaxonomicDNA, EnvironmentalEcosystemFishesRiversAnimalsEuropeNorth AmericaSeasonsSpatio-Temporal AnalysisDNA, Environmental

Identifiers

PMID38782932
PMCPMC11116482

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.