State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, P. R. China.
State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, P. R. China.
Environ Sci Technol. 2022 May 17;56(10):6574-6583. doi: 10.1021/acs.est.2c01339. Epub 2022 May 5.
Ecological qualities and resources in coasts are threatened by various human activities, such as pollution and fishery. Impact evaluation of environmental stressors over a wide coastal stretch has been limited due to lack of efficient and standardizable biodiversity monitoring and assessment tools. Integrating environmental DNA (eDNA) and ecological traits, a holistic approach was developed to assess the impact of pollution and aquaculture on fish biodiversity in Chinese coastal areas. Taking the Yalujiang Estuary (YLJK) from the Yellow Sea and the Nan'ao Island Area (NAO) from the South China Sea as cases, the performance of the eDNA biomonitoring workflow was validated. First, the eDNA results of 22 sampling sites reached more than 85% of the asymptotes of species or ASVs in each area. A total of 115 fish species in both areas were detected and NAO was 1.8 times richer than YLJK using eDNA and the fish eDNA composition was consistent with the historical data. eDNA recovered distinct variations of fish sequence, taxonomic and functional diversity, and the corresponding trends following the offshore distance between the two areas. Fish sequence diversity was decreased primarily by estuarine pollution factors (chemical oxygen demand and zinc) in the YLJK. Compared with no breeding areas, lower fish sequence diversity was in breeding areas in the NAO. By integrating ecological traits, the eDNA approach offers promising opportunities for future fish biodiversity monitoring and assessment in national and global coastal environments.
沿海地区的生态质量和资源受到各种人类活动的威胁,如污染和渔业。由于缺乏高效和标准化的生物多样性监测和评估工具,对广泛沿海地区的环境胁迫影响评估受到限制。本研究将环境 DNA(eDNA)和生态特征相结合,开发了一种综合方法来评估污染和水产养殖对中国沿海地区鱼类生物多样性的影响。以黄海的鸭绿江口(YLJK)和南海的南澳岛地区(NAO)为例,验证了 eDNA 生物监测工作流程的性能。首先,在这两个地区的 22 个采样点中,eDNA 结果达到了每个地区物种或 ASV 渐近线的 85%以上。利用 eDNA 在两个地区共检测到 115 种鱼类,NAO 比 YLJK 丰富 1.8 倍,且 eDNA 中的鱼类组成与历史数据一致。eDNA 恢复了鱼类序列、分类和功能多样性的明显变化,以及与两个地区之间离岸距离相应的趋势。在 YLJK 中,鱼类序列多样性主要受河口污染因素(化学需氧量和锌)的影响而减少。与非繁殖区相比,NAO 中的繁殖区鱼类序列多样性较低。通过整合生态特征,eDNA 方法为未来在国家和全球沿海环境中进行鱼类生物多样性监测和评估提供了有前途的机会。