Oh Hye-Ji, Chae Yeon-Ji, Yoo Jeongwoo, Choi Yerim, Hong Geun-Hyeok, Kim Jeong-Hui, Kim Kyu-Jin, Jang Min-Ho, Won Doo Hee, Kim Keun-Yong, Chang Kwang-Hyeon, Kim Keun-Sik, Yoon Ju-Duk
Department of Environmental Science and Engineering, Kyung Hee University, Yongin 17104, Republic of Korea.
Korea Environmental Industry&Technology Institute, Seoul 03367, Republic of Korea.
Sci Total Environ. 2025 Jan 10;959:178125. doi: 10.1016/j.scitotenv.2024.178125. Epub 2024 Dec 29.
Because of their noninvasive nature and high detection sensitivity, eDNA-based aquatic ecosystem surveys are useful for monitoring rare, elusive indicator species. Advancements in statistical techniques have expanded their use beyond simple population tracking to predict potential habitats based on the environmental conditions of sites detected eDNA. This study used species-specific molecular marker and targeted qPCR techniques to assess the distribution and habitat requirements of the endangered Gobiobotia naktongensis, a flagship fish species in Korean sandy river systems with increased public interest related to habitat restoration evaluations associated with dam construction. As a small and sand-burrowing species, G. naktongensis is difficult to identify using traditional sampling methods as its population size has declined because of the construction and operation of dams. However, eDNA investigations have detected genes from the species throughout the year, enabling the identification of stable population sites by comparing with those of historical sampling records. Logistic regression analysis of G. naktongensis eDNA absence/presence and environmental factors revealed that its habitat preferences are closely associated with streambed substrate structure, water quality, and food source diversity. eDNA analytical techniques are being actively used for species that are globally endangered and whose rarity makes population monitoring challenging. eDNA-based surveys are promising for species with small population sizes and species-specific ecological traits (e.g., benthic or sand-burrowing species), which have been limited in quantitative research approaches because of the low occurrence of eDNA in the water, because these methods can yield meaningful results with qualitative data alone.
基于环境DNA(eDNA)的水生生态系统调查因其非侵入性和高检测灵敏度,对于监测珍稀、难以捉摸的指示物种很有用。统计技术的进步扩大了其应用范围,从简单的种群跟踪扩展到根据检测到eDNA的地点的环境条件预测潜在栖息地。本研究使用物种特异性分子标记和靶向定量聚合酶链反应(qPCR)技术,评估濒危的洛东江长吻鲍的分布和栖息地需求。洛东江长吻鲍是韩国沙质河流系统中的旗舰鱼类物种,随着与大坝建设相关的栖息地恢复评估引起公众更多关注,其受关注度也在增加。作为一种小型的穴居沙中物种,由于大坝的建设和运营,洛东江长吻鲍的种群数量下降,使用传统采样方法很难识别。然而,eDNA调查全年都检测到了该物种的基因,可以通过与历史采样记录进行比较来确定稳定的种群地点。对洛东江长吻鲍eDNA的有无及环境因素进行逻辑回归分析表明,其栖息地偏好与河床基质结构、水质和食物源多样性密切相关。eDNA分析技术正被积极用于全球濒危物种以及那些因稀有而使种群监测具有挑战性的物种。基于eDNA的调查对于种群数量少且具有特定物种生态特征(如底栖或穴居沙中物种)的物种很有前景,由于水中eDNA含量低,这些物种在定量研究方法上受到限制,因为这些方法仅通过定性数据就能产生有意义的结果。