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Zhang L, Zhou W, Jiao M, Xie T, Xie M, Li H, Suo A, Yue W, Ding D, He W. Use of passive sampling in environmental DNA metabarcoding technology: Monitoring of fish diversity in the Jiangmen coastal waters. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168298. [PMID: 37939943 DOI: 10.1016/j.scitotenv.2023.168298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 11/10/2023]
Abstract
Environmental DNA (eDNA) metabarcoding technology is proving to be the most up-to-date and promising method for monitoring marine fish diversity. Fish eDNA is usually collected on a filter membrane after the filtration of water. Not only does this require the use of specialized equipment, but the amount of filtered water needed is also difficult to meet. The recently proposed passive eDNA collection method can expand the sampling scale, providing new perspectives for monitoring marine biodiversity. The role of collection methods in eDNA surveys, however, remains unclear. In this study, a low-cost custom framework with two types of filter membrane materials was used to conduct passive submersion samplings at the north and south ends of Shangchuan Island, Jiangmen, China. After defined periods of submersion, the filter membranes were recovered and eDNA extracted. Metabarcoding techniques were applied to detect fish species information in the eDNA samples. A total of 106 marine fish species from 27 orders, 53 families, and 92 genera, including one cartilaginous fish, were identified in the samples. The majority of fish detected by active filtration were also found in the passively collected samples, within the same location. Both sampling methods, therefore, showed similar species richness. Passive sampling was effective in identifying fish species diversity and provided a higher spatial resolution owing to the sample replicates. Passive sampling was also more sensitive in detecting species that differ significantly in abundance (biomarkers) between different sampling depths. When active filtration is not possible, or when large-scale sampling is the purpose of the study, passive sampling methods certainly provide a promising alternative. The findings of our study provide guidance for fish surveys and continuous bio-stereoscopic monitoring in coastal waters.
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Affiliation(s)
- Li Zhang
- Marine Environmental Engineering Center, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weiguo Zhou
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
| | - Mengyu Jiao
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tian Xie
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Mujiao Xie
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China
| | - Hanying Li
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Anning Suo
- Marine Environmental Engineering Center, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
| | - Weizhong Yue
- Marine Environmental Engineering Center, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
| | - Dewen Ding
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 51145, China
| | - Weihong He
- Marine Environmental Engineering Center, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
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Dong Y, García Molinos J, Larson ER, Lin Q, Liu X, Sarà G, Cai Q, Zhang Z, Helmuth B, Bates A. Biological traits, geographic distributions, and species conservation in aquatic ecosystems. DIVERS DISTRIB 2022. [DOI: 10.1111/ddi.13600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Affiliation(s)
- Yun‐Wei Dong
- Key Laboratory of Mariculture, Ministry of Education, Fisheries College Ocean University of China Qingdao China
| | | | - Eric R. Larson
- Department of Natural Resources and Environmental Sciences University of Illinois at Urbana‐Champaign Champaign Illinois USA
| | - Qiang Lin
- CAS Key Laboratory of Tropical Marine Bio‐resources and Ecology South China Sea Institute of Oceanology, Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences Guangzhou China
| | - Xuan Liu
- Key Laboratory of Animal Ecology and Conservation Biology Institute of Zoology, Chinese Academy of Sciences Beijing China
| | - Gianluca Sarà
- Laboratory of Ecology, Earth and Marine Sciences Department University of Palermo Palermo Italy
| | - Qing‐Hua Cai
- State Key Laboratory of Freshwater Ecology and Biotechnology Institute of Hydrobiology, Chinese Academy of Sciences Wuhan China
| | - Zhixin Zhang
- CAS Key Laboratory of Tropical Marine Bio‐resources and Ecology South China Sea Institute of Oceanology, Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences Guangzhou China
| | - Brian Helmuth
- Coastal Sustainability Institute Northeastern University Nahant Massachusetts USA
| | - Amanda Bates
- Department of Biology University of Victoria Victoria British Columbia Canada
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