Evidence map›Paper›PMID 41699047›Full record

ArticleScientific reports2026

From fish to invertebrates: multi-marker eDNA metabarcoding for monitoring wetland biodiversity and non-indigenous species in Macao SAR China.

M K Leong, I H Lau, F O Costa, M P Cabezas, K A Tagulao

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

M K Leong *Institute of Science and Environment, University of Saint Joseph (USJ), Macao, SAR, China.
I H Lau *Institute of Science and Environment, University of Saint Joseph (USJ), Macao, SAR, China.
F O CostaDepartment of Biology, Centre of Molecular and Environmental Biology (CBMA) and ARNET-Aquatic Research Network, University of Minho, Braga, Portugal.
M P CabezasDepartment of Biology, Centre of Molecular and Environmental Biology (CBMA) and ARNET-Aquatic Research Network, University of Minho, Braga, Portugal.
K A TagulaoInstitute of Science and Environment, University of Saint Joseph (USJ), Macao, SAR, China. karentagulao@usj.edu.mo.

Funding

WASH FOUNDATION WASH2023
6 · The paper itself

Abstract

Urban wetlands provide crucial ecosystem services but are increasingly threatened by urbanization. In Macao, a densely populated city on the Pearl River Estuary, roughly half of the historical wetland habitats have been lost, yet they remain vital for the East Asian-Australasian Flyway. To assess biodiversity in the remaining wetlands, this study applied environmental DNA (eDNA) metabarcoding targeting 12S rRNA, 18S rRNA, and COI genes with a primary focus on fish and invertebrates. The results revealed 85 fish, 298 invertebrate and 9 non-fish chordate species, including 18 non-indigenous fish and several invertebrates. The communities were highly site-specific, showing clear distinctions between inland and coastal wetlands, but non-indigenous fish were widespread, reflecting strong anthropogenic pressure. Moreover, while not observed in fish, coastal invertebrate communities showed strong seasonal turnover. Nevertheless, 56% of COI-derived ESVs could only be assigned to higher taxonomic levels, suggesting substantial diversity remains uncharacterized due to incomplete reference databases. Collectively, these findings demonstrate how fragmentation and seasonal dynamics shape biodiversity differently across taxonomic groups. This study establishes the first comprehensive eDNA baseline for Macao's wetlands, highlighting the need to expand local reference databases and integrate molecular techniques with traditional surveys to improve monitoring and conservation of urban ecosystems.

Indexed as

BiodiversityDNA Barcoding, TaxonomicDNA, EnvironmentalFishesInvertebratesWetlandsAnimalsChinaEnvironmental MonitoringExtrachromosomal DNARNA, RibosomalRNA, Ribosomal, 18SDNA, EnvironmentalExtrachromosomal DNARNA, RibosomalRNA, Ribosomal, 18SCOI-12S-18S markerseDNA metabarcodingFreshwater and estuarine wetlandsMacaoMolecular biodiversity assessmentWetland biodiversity

Identifiers

PMID41699047
PMCPMC13000291

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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.