Evidence map›Paper›PMID 40223581›Full record

ArticleJournal of fish biology2025

Aquatic eDNA outperforms sedimentary eDNA for the detection of estuarine fish communities in subtropical coastal vegetated ecosystems.

Emma Isabelle Rossouw, Sophie von der Heyden, Nasreen Peer

Abstract read
In one paragraph

Article in Journal of fish biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

3 authors.

Emma Isabelle RossouwDepartment of Botany and Zoology, University of Stellenbosch, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0002-6168-7593
Sophie von der HeydenDepartment of Botany and Zoology, University of Stellenbosch, Stellenbosch, South Africa.
Nasreen PeerDepartment of Botany and Zoology, University of Stellenbosch, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0003-4786-1257

Funding

National Research Foundation 149020National Research Foundation SRUG2204041792
6 · The paper itself

Abstract

In South Africa, mangrove forests and seagrass meadows often co-occur in estuarine systems and in combination host rich, often endemic biodiversity. There is an urgent need to explore community diversity in coastal vegetated ecosystems, given the degrading effects of climate change and anthropogenic pressures. Environmental DNA metabarcoding is a promising biomonitoring tool in South African coastal ecosystems, although studies highlight the need to optimise and standardise sampling protocols. This study aimed to contribute to developing sampling protocols by understanding the applicability of environmental DNA (eDNA) metabarcoding within coastal vegetated habitats and by investigating diversity using two different sample types. Aquatic and sedimentary environmental DNA samples from three estuaries along the east coast of South Africa, in combination with MiFish metabarcoding, detected 148 operational taxonomic units (OTUs) representing 67 fish genera from 50 families, although only 16% were resolved to species. We observed that aquatic eDNA samples detected 97% of the total fish diversity, suggesting that this is an efficient tool to comprehensively detect ichthyofaunal diversity. We did not detect different fish communities between mangroves and seagrasses and our findings underscore the importance of taking hydrological connectivity into consideration for sampling design. Overall, our work reinforces key considerations for future eDNA metabarcoding studies focused on fish fauna in estuaries, and therefore contributes to optimising sampling protocols to support the biomonitoring of coastal biodiversity.

Indexed as

BiodiversityDNA Barcoding, TaxonomicDNA, EnvironmentalEnvironmental MonitoringEstuariesFishesAnimalsEcosystemGeologic SedimentsSouth AfricaDNA, EnvironmentaleDNA metabarcodingeDNA sample typeichthyofaunamangrovesSouth AfricaZostera capensis

Identifiers

PMID40223581
PMCPMC12360151

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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.