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韩国西南五岛周边海域鱼类多样性的时空格局:结合底拖网和环境DNA(eDNA)方法

Spatiotemporal Patterns of Fish Diversity in the Waters Around the Five West Sea Islands of South Korea: Integrating Bottom Trawl and Environmental DNA (eDNA) Methods.

作者信息

Yoo Young-Ji, An So-Yeon, Lee Seung-Hwan, Lee Soo-Jeong, Gwak Woo-Seok

机构信息

Department of Marine Biology and Aquaculture, Marine Biology Education and Research Center, Gyeongsang National University, Tongyeong 53064, Republic of Korea.

Dokdo Fisheries Research Center, East Sea Fisheries Research Institute, National Institute of Fisheries Science, Pohang 37709, Republic of Korea.

出版信息

Animals (Basel). 2025 Sep 5;15(17):2613. doi: 10.3390/ani15172613.

DOI:10.3390/ani15172613
PMID:40941408
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12427232/
Abstract

The waters surrounding the Five West Sea Islands of South Korea are ecologically important but challenging to survey due to their location within a strategic military zone, strong tidal currents, and significant tidal variation. To assess the fish community in this region, we conducted Korea's first parallel investigation combining traditional bottom trawl surveys with environmental DNA (eDNA) metabarcoding. Sampling was performed at 10 stations in March, May, and August 2023, and the relationship between fish species occurrence and environmental variables (water temperature, salinity, and depth) was examined. Dominant trawl-caught species included , , , and , each showing seasonal migration and spawning patterns associated with temperature changes. eDNA analysis detected nine additional species absent from trawl catches, such as and , demonstrating its sensitivity in identifying both migratory and sedentary taxa. Our findings confirm that eDNA surveys can complement traditional sampling, improving biodiversity assessment in regions with limited accessibility and complex oceanographic conditions.

摘要

韩国五西海岛屿周围的海域具有重要的生态意义,但由于其位于战略军事区内、存在强烈的潮流以及显著的潮汐变化,因此进行调查具有挑战性。为了评估该区域的鱼类群落,我们开展了韩国首次将传统底拖网调查与环境DNA(eDNA)宏条形码分析相结合的平行调查。于2023年3月、5月和8月在10个站点进行了采样,并研究了鱼类物种出现情况与环境变量(水温、盐度和深度)之间的关系。拖网捕获的优势物种包括[具体物种1]、[具体物种2]、[具体物种3]和[具体物种4],每种物种都呈现出与温度变化相关的季节性洄游和产卵模式。eDNA分析检测到拖网捕捞中未出现的另外9个物种,如[具体物种5]和[具体物种6],证明了其在识别洄游和定居类群方面的敏感性。我们的研究结果证实,eDNA调查可以补充传统采样,改善在可达性有限和海洋条件复杂地区的生物多样性评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/18cb60e5bc82/animals-15-02613-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/8ea780fc28aa/animals-15-02613-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/5f582feea021/animals-15-02613-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/512ab1604753/animals-15-02613-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/c0390b872558/animals-15-02613-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/818e5bb4b284/animals-15-02613-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/867f1c439160/animals-15-02613-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/18cb60e5bc82/animals-15-02613-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/8ea780fc28aa/animals-15-02613-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/5f582feea021/animals-15-02613-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/512ab1604753/animals-15-02613-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/c0390b872558/animals-15-02613-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/818e5bb4b284/animals-15-02613-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/867f1c439160/animals-15-02613-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4836/12427232/18cb60e5bc82/animals-15-02613-g007.jpg

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本文引用的文献

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