Evidence map›Paper›PMID 39100209›Full record

ArticleEcology and evolution2024

Unlocking rivers' hidden diversity and ecological status using DNA metabarcoding in Northwest Spain.

Álvaro Fueyo, Omar Sánchez, Carlos Carleos, Amando Escudero, Javier Cordón, Javier Granero-Castro, Yaisel Juan Borrell

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

7 authors.

Álvaro FueyoEnvironment and Sustainability Area, Taxus Medio Ambiente Oviedo Spain.ORCID https://orcid.org/0000-0001-6816-3277
Omar SánchezEnvironment and Sustainability Area, Taxus Medio Ambiente Oviedo Spain.
Carlos CarleosDepartment of Statistics and Operations Research and Mathematics Didactics University of Oviedo Oviedo Spain.
Amando EscuderoEnvironment and Sustainability Area, Taxus Medio Ambiente Oviedo Spain.
Javier CordónEnvironment and Sustainability Area, Taxus Medio Ambiente Oviedo Spain.
Javier Granero-CastroEnvironment and Sustainability Area, Taxus Medio Ambiente Oviedo Spain.
Yaisel Juan BorrellDepartment of Functional Biology, Genetics University of Oviedo Oviedo Spain.ORCID https://orcid.org/0000-0003-2840-4384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rivers are crucial ecosystems supporting biodiversity and human well-being, yet they face increasing degradation globally. Traditional river biomonitoring methods based on morphological identification of macroinvertebrates present challenges in terms of taxonomic resolution and scalability. This study explores the application of DNA metabarcoding analysis in both bulk and environmental DNA (eDNA) samples for comprehensive assessment of macrozoobenthic biodiversity, detection of invasive and endangered species, and evaluation of river ecological status in northwestern Spain. DNA metabarcoding of homogenized bulk samples and water eDNA revealed a mean of 100 and 87 macrozoobenthos species per sample respectively. However, the specific composition was significantly different with only 27.3% of the total species being shared. It was not possible to identify all the OTUs to species level; only 17.43% and 49.4% of the OTUs generated could be identified to species level in the bulk and eDNA samples, respectively. Additionally, a total of 11 exotic species (two first records for the Iberian Peninsula and another three first records for Asturias region) and one endangered species were detected by molecular tools. Molecular methods showed significant correlations with morphological identification for EQR values (Ecological Quality Ratio) of IBMWP index, yet differences in inferred river ecological status were noted, with bulk samples tending to indicate higher status. Overall, DNA metabarcoding offers a promising approach for river biomonitoring, providing insights into biodiversity, invasive species, and ecological status within a single analysis. Further optimization and intercalibration are required for its implementation in routine biomonitoring programmes, but its scalability and multi-tasking capabilities position it as a valuable tool for integrated monitoring of river ecosystems.

Indexed as

bulk samplesecological statuseDNAexotic speciesIBMWPmacroinvertebrates

Identifiers

PMID39100209
PMCPMC11294579

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.