Zhao Hu, Zhang Han, Zhang Kunyang, Deng Jie, Fang Cheng, Zhang Jianlu, Kong Fei, Jiang Wei, Wang Qijun, Ma Hongying
Shaanxi Key Laboratory of Qinling Ecological Security, Shaanxi Institute of Zoology, Xi'an 710032, China.
College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Animals (Basel). 2025 Mar 28;15(7):977. doi: 10.3390/ani15070977.
In recent years, the population of has experienced a rapid decline due to habitat degradation caused by overfishing and dam construction. In the current study, water samples were collected from four tanks containing individuals with wet weights of 5.8 g, 12.3 g, 34.7 g, and 81.7 g, respectively, and the cycle threshold (Ct) values of in each tank were measured using quantitative PCR. Additionally, water samples were collected from six sites along the Zhouzhi Heihe River (Yu Dongquan, Ban Fangzi, Ba Mugou, two sites along Wang Jia, and Qingshui Rivers), and the Ct values of at these sites were quantified. The results show that the relationship between the Ct values measured by the quantitative test and the fish biomass in the corresponding tanks followed an exponential function, with a regression coefficient of 0.9987. The biomass for the six sites was determined using the established relationship, and the results indicate that the biomass of was highest in Yu Dongquan, followed by Ban Fangzi, Ba Mugou, Wang Jia River 2, and Qingshui, with the lowest biomass observed in Wang Jia River 1. These findings are consistent with the species' adaptive survival distribution across the six sites. This study presents a standardized approach for using an eDNA-based quantitative PCR assay to monitor . It provides an advanced technical method applicable to the protection and monitoring of other aquatic species in future studies.
近年来,由于过度捕捞和大坝建设导致栖息地退化,[物种名称]的种群数量急剧下降。在当前研究中,从四个分别装有湿重为5.8克、12.3克、34.7克和81.7克个体的水箱中采集水样,并使用定量PCR测量每个水箱中[目标物种名称]的循环阈值(Ct)值。此外,从周至黑河沿线的六个地点(鱼洞泉、板房子、坝蘑菇、王家河沿线的两个地点以及清水河)采集水样,并对这些地点的[目标物种名称]的Ct值进行定量分析。结果表明,定量检测测得的Ct值与相应水箱中鱼类生物量之间的关系呈指数函数,回归系数为0.9987。利用建立的关系确定了六个地点的生物量,结果表明,鱼洞泉的[目标物种名称]生物量最高,其次是板房子、坝蘑菇、王家河2号和清水河,王家河1号的生物量最低。这些发现与该物种在六个地点的适应性生存分布一致。本研究提出了一种基于环境DNA的定量PCR检测方法来监测[目标物种名称]的标准化方法。它提供了一种先进的技术方法,适用于未来研究中对其他水生物种的保护和监测。