Osathanunkul Maslin, Suwannapoom Chatmongkon
Department of Biology, Chiang Mai University, Chiang Mai, Thailand.
School of Agriculture and Natural Resources, University of Phayao, Muang District, Phayao, Thailand.
Heliyon. 2023 Jun 10;9(6):e17102. doi: 10.1016/j.heliyon.2023.e17102. eCollection 2023 Jun.
COVID-19, a global health concern, has an effect on all aspects of the economy. The aquaculture and fishing industries were severely harmed as a result of the closures in multiple nations. Regular systems for inventory monitoring, production, and supply were disrupted. Cancellation of programmes for research, fieldwork, sampling, and tagging influences management-required data. For effective species management, fish dispersion assessments are indispensable. However, due to the difficulty of accessing sampling sites and the associated costs, there is frequently a lack of comprehensive information regarding the distribution and abundance of organisms. The COVID-19 prohibition made fish monitoring more problematic. Due to constant pressure, populations of the stone lapping minnow (), one of Thailand's overfished fish, are rapidly declining. Therefore, eDNA-based monitoring was devised and implemented to reveal the likely dispersal of the species in Thailand prior to and following the lockdown. At 28 locations within the Chao Phraya River Basin, water samples were collected. qPCR was used to determine the presence or absence of in water samples. In 78 of 252 water samples, a wide range of computed copy numbers for eDNA was observed. It was discovered that samples collected in 2021 (after the lockdown) contain a higher concentration of eDNA than samples collected in 2018 or 2019 (prior to the lockdown). The closure appears to be a boon and may result in a substantial restocking of the fish we have studied. Overall, eDNA-based analysis is an extremely promising new survey instrument.
新冠疫情是一个全球卫生问题，对经济的各个方面都有影响。由于多个国家实施封锁，水产养殖和渔业受到严重损害。库存监测、生产和供应的常规系统被打乱。研究、实地考察、采样和标记计划的取消影响了管理所需的数据。对于有效的物种管理来说，鱼类分布评估是必不可少的。然而，由于进入采样地点困难且成本高昂，通常缺乏有关生物分布和数量的全面信息。新冠疫情封锁使鱼类监测变得更成问题。由于持续的压力，泰国过度捕捞的鱼类之一——石磨米诺鱼的数量正在迅速下降。因此，设计并实施了基于环境DNA的监测，以揭示该物种在泰国封锁前后可能的扩散情况。在湄南河流域的28个地点采集了水样。使用定量聚合酶链反应来确定水样中是否存在石磨米诺鱼。在252个水样中的78个中，观察到石磨米诺鱼环境DNA的计算拷贝数范围很广。研究发现，2021年（封锁后）采集的样本中石磨米诺鱼环境DNA的浓度高于2018年或2019年（封锁前）采集的样本。封锁似乎是一件好事，可能会导致我们所研究的鱼类大量补充。总体而言，基于环境DNA的分析是一种极具前景的新调查工具。
