Environmental DNA metabarcoding links eutrophication to small-scale changes in biotic community structure: The importance of taxon mobility.

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Main Authors: How, Chun Ming, Peng, Yingbei, Deconinck, Dumas, Heung, Bonnie Yuen Wai, Zhao, Meihong, Chan, Leo Lai, Qiu, Jian-Wen
Format: Artículo científico
Language:en
Published: Marine pollution bulletin 2026
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author How, Chun Ming
Peng, Yingbei
Deconinck, Dumas
Heung, Bonnie Yuen Wai
Zhao, Meihong
Chan, Leo Lai
Qiu, Jian-Wen
author_facet How, Chun Ming
Peng, Yingbei
Deconinck, Dumas
Heung, Bonnie Yuen Wai
Zhao, Meihong
Chan, Leo Lai
Qiu, Jian-Wen
How, Chun Ming
Peng, Yingbei
Deconinck, Dumas
Heung, Bonnie Yuen Wai
Zhao, Meihong
Chan, Leo Lai
Qiu, Jian-Wen
collection PubMed - marine biology
contents Environmental DNA metabarcoding links eutrophication to small-scale changes in biotic community structure: The importance of taxon mobility. How, Chun Ming Peng, Yingbei Deconinck, Dumas Heung, Bonnie Yuen Wai Zhao, Meihong Chan, Leo Lai Qiu, Jian-Wen DNA Barcoding, Taxonomic Environmental Monitoring DNA, Environmental Hong Kong Aquatic Organisms Eutrophication Animals Biodiversity Genetic Variation Food Chain Animal Distribution Water Pollution Environmental DNA (eDNA) metabarcoding has been used for monitoring community shifts, but its resolution in detecting small-scale biotic gradients remains largely untested. In this study, we applied eDNA metabarcoding to detect alterations in marine communities using 12S-V5 (vertebrates) and 18S-uni (other eukaryotes) primer sets along a ~ 20 km harbour in Hong Kong. Analysis of water quality data from 2018 to 2022 revealed a eutrophication gradient, characterised by increasing concentrations of chlorophyll-a and biochemical oxygen demand (BOD5), from the harbour to the open ocean. We observed a rise in vertebrate taxa richness, from 16 in the harbour to 27 in the open ocean. The richness of other eukaryotes was significantly lower at the harbour site. Community analyses revealed substantial differences in biotic assemblages. High-trophic consumers increased from 26 to 54 along the sites. Sampling sites and environmental variables significantly explained the dissimilarities in the relatively stationary other eukaryotes, and explained the dissimilarities of the relatively mobile vertebrate communities to a lesser extent. Non-metric multidimensional scaling further supported the importance of environmental factors in shaping the assemblages. We discovered that the BIOENV-selected variables and eutrophication index effectively predicted the abundance of several taxa, particularly for the other eukaryotes. The concentration of phaeo-pigments was the most significant negative predictor of the trophic levels. We identified several polychaetes and dinoflagellates as indicator species of eutrophic waters. This study highlights the effectiveness of eDNA-based biomonitoring in linking community composition to eutrophication and the importance of considering animal mobility in understanding small-scale changes in community structure.
format Artículo científico
id pubmed_40976038
institution PubMed
language en
publishDate 2026
publisher Marine pollution bulletin
record_format pubmed
spellingShingle Environmental DNA metabarcoding links eutrophication to small-scale changes in biotic community structure: The importance of taxon mobility.
How, Chun Ming
Peng, Yingbei
Deconinck, Dumas
Heung, Bonnie Yuen Wai
Zhao, Meihong
Chan, Leo Lai
Qiu, Jian-Wen
DNA Barcoding, Taxonomic
Environmental Monitoring
DNA, Environmental
Hong Kong
Aquatic Organisms
Eutrophication
Animals
Biodiversity
Genetic Variation
Food Chain
Animal Distribution
Water Pollution
Environmental DNA metabarcoding links eutrophication to small-scale changes in biotic community structure: The importance of taxon mobility. How, Chun Ming Peng, Yingbei Deconinck, Dumas Heung, Bonnie Yuen Wai Zhao, Meihong Chan, Leo Lai Qiu, Jian-Wen DNA Barcoding, Taxonomic Environmental Monitoring DNA, Environmental Hong Kong Aquatic Organisms Eutrophication Animals Biodiversity Genetic Variation Food Chain Animal Distribution Water Pollution Environmental DNA (eDNA) metabarcoding has been used for monitoring community shifts, but its resolution in detecting small-scale biotic gradients remains largely untested. In this study, we applied eDNA metabarcoding to detect alterations in marine communities using 12S-V5 (vertebrates) and 18S-uni (other eukaryotes) primer sets along a ~ 20 km harbour in Hong Kong. Analysis of water quality data from 2018 to 2022 revealed a eutrophication gradient, characterised by increasing concentrations of chlorophyll-a and biochemical oxygen demand (BOD5), from the harbour to the open ocean. We observed a rise in vertebrate taxa richness, from 16 in the harbour to 27 in the open ocean. The richness of other eukaryotes was significantly lower at the harbour site. Community analyses revealed substantial differences in biotic assemblages. High-trophic consumers increased from 26 to 54 along the sites. Sampling sites and environmental variables significantly explained the dissimilarities in the relatively stationary other eukaryotes, and explained the dissimilarities of the relatively mobile vertebrate communities to a lesser extent. Non-metric multidimensional scaling further supported the importance of environmental factors in shaping the assemblages. We discovered that the BIOENV-selected variables and eutrophication index effectively predicted the abundance of several taxa, particularly for the other eukaryotes. The concentration of phaeo-pigments was the most significant negative predictor of the trophic levels. We identified several polychaetes and dinoflagellates as indicator species of eutrophic waters. This study highlights the effectiveness of eDNA-based biomonitoring in linking community composition to eutrophication and the importance of considering animal mobility in understanding small-scale changes in community structure.
title Environmental DNA metabarcoding links eutrophication to small-scale changes in biotic community structure: The importance of taxon mobility.
topic DNA Barcoding, Taxonomic
Environmental Monitoring
DNA, Environmental
Hong Kong
Aquatic Organisms
Eutrophication
Animals
Biodiversity
Genetic Variation
Food Chain
Animal Distribution
Water Pollution
url https://pubmed.ncbi.nlm.nih.gov/40976038/