Integrating eDNA and morphology reveals arsenic-associated assembly processes of benthic invertebrates in coral reef ecosystems.

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Hauptverfasser: Zhang, Zheng, Cheng, Jiao, Yuan, Ziming, Wang, Yanrong, Xiao, Ning, Zhang, Shuqian, Hui, Min, Zhang, Junlong, Sha, Zhongli
Format: Artículo científico
Sprache:en
Veröffentlicht: Environmental research 2025
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author Zhang, Zheng
Cheng, Jiao
Yuan, Ziming
Wang, Yanrong
Xiao, Ning
Zhang, Shuqian
Hui, Min
Zhang, Junlong
Sha, Zhongli
author_facet Zhang, Zheng
Cheng, Jiao
Yuan, Ziming
Wang, Yanrong
Xiao, Ning
Zhang, Shuqian
Hui, Min
Zhang, Junlong
Sha, Zhongli
Zhang, Zheng
Cheng, Jiao
Yuan, Ziming
Wang, Yanrong
Xiao, Ning
Zhang, Shuqian
Hui, Min
Zhang, Junlong
Sha, Zhongli
collection PubMed - marine biology
contents Integrating eDNA and morphology reveals arsenic-associated assembly processes of benthic invertebrates in coral reef ecosystems. Zhang, Zheng Cheng, Jiao Yuan, Ziming Wang, Yanrong Xiao, Ning Zhang, Shuqian Hui, Min Zhang, Junlong Sha, Zhongli Coral Reefs Invertebrates Animals Arsenic Environmental Monitoring Biodiversity DNA, Environmental Water Pollutants, Chemical DNA Barcoding, Taxonomic Ecosystem Understanding how climate change and human activities affect the biodiversity and community assembly of benthic invertebrates is essential for monitoring and conserving coral reef ecosystems under accelerating environmental stress. Environmental DNA (eDNA) metabarcoding provides a rapid, standardized tool for biodiversity assessment, yet limitations such as primer bias and incomplete reference databases prevent it from fully replacing traditional morphological identification. Here, we proposed an integrated framework that combines morphological identification with eDNA metabarcoding to enhance the accuracy and scalability of benthic invertebrate diversity assessments in coral reef ecosystems. Our results demonstrate that metabarcoding detects only about half of invertebrate genera, while morphological methods show even greater taxonomic gaps. This underscores the complementary strengths of the two methods for comprehensive biodiversity monitoring. Based on the framework, we identified arsenic (As) as a pivotal role associated with invertebrate community assembly. We observed a transition from stochastic to deterministic processes as As heterogeneity increased. Overall, our study demonstrates that combining eDNA and morphology provides a robust and scalable approach to detect ecological shifts, characterize biodiversity, and understand how environmental stressors-particularly heavy metal pollutants-shape invertebrate community dynamics in coral reef ecosystems. These findings have important implications for biodiversity monitoring, pollution assessment, and the conservation of fragile coral reef ecosystems under global environmental change.
format Artículo científico
id pubmed_40840608
institution PubMed
language en
publishDate 2025
publisher Environmental research
record_format pubmed
spellingShingle Integrating eDNA and morphology reveals arsenic-associated assembly processes of benthic invertebrates in coral reef ecosystems.
Zhang, Zheng
Cheng, Jiao
Yuan, Ziming
Wang, Yanrong
Xiao, Ning
Zhang, Shuqian
Hui, Min
Zhang, Junlong
Sha, Zhongli
Coral Reefs
Invertebrates
Animals
Arsenic
Environmental Monitoring
Biodiversity
DNA, Environmental
Water Pollutants, Chemical
DNA Barcoding, Taxonomic
Ecosystem
Integrating eDNA and morphology reveals arsenic-associated assembly processes of benthic invertebrates in coral reef ecosystems. Zhang, Zheng Cheng, Jiao Yuan, Ziming Wang, Yanrong Xiao, Ning Zhang, Shuqian Hui, Min Zhang, Junlong Sha, Zhongli Coral Reefs Invertebrates Animals Arsenic Environmental Monitoring Biodiversity DNA, Environmental Water Pollutants, Chemical DNA Barcoding, Taxonomic Ecosystem Understanding how climate change and human activities affect the biodiversity and community assembly of benthic invertebrates is essential for monitoring and conserving coral reef ecosystems under accelerating environmental stress. Environmental DNA (eDNA) metabarcoding provides a rapid, standardized tool for biodiversity assessment, yet limitations such as primer bias and incomplete reference databases prevent it from fully replacing traditional morphological identification. Here, we proposed an integrated framework that combines morphological identification with eDNA metabarcoding to enhance the accuracy and scalability of benthic invertebrate diversity assessments in coral reef ecosystems. Our results demonstrate that metabarcoding detects only about half of invertebrate genera, while morphological methods show even greater taxonomic gaps. This underscores the complementary strengths of the two methods for comprehensive biodiversity monitoring. Based on the framework, we identified arsenic (As) as a pivotal role associated with invertebrate community assembly. We observed a transition from stochastic to deterministic processes as As heterogeneity increased. Overall, our study demonstrates that combining eDNA and morphology provides a robust and scalable approach to detect ecological shifts, characterize biodiversity, and understand how environmental stressors-particularly heavy metal pollutants-shape invertebrate community dynamics in coral reef ecosystems. These findings have important implications for biodiversity monitoring, pollution assessment, and the conservation of fragile coral reef ecosystems under global environmental change.
title Integrating eDNA and morphology reveals arsenic-associated assembly processes of benthic invertebrates in coral reef ecosystems.
topic Coral Reefs
Invertebrates
Animals
Arsenic
Environmental Monitoring
Biodiversity
DNA, Environmental
Water Pollutants, Chemical
DNA Barcoding, Taxonomic
Ecosystem
url https://pubmed.ncbi.nlm.nih.gov/40840608/