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环境DNA宏条形码技术与传统调查方法在中国城市半咸水水库沿盐度梯度评估鱼类多样性和分布的比较

Comparison of Environmental DNA Metabarcoding and a Traditional Survey Method for Assessing Fish Diversity and Distribution Along Salinity Gradient in an Urban Brackish Reservoir, China.

作者信息

Wang Xu, Wang Jiaqiao, Lin Lin, Huang Liangmin, Liu Kai, Dai Guangjie, Cai Qianwen, Li Jun, Feng Shilong, Wang Guangzhao, Hui Yapeng, Qiu Longhui, Ji Fenfen

机构信息

Fisheries College, Jimei University, Xiamen 361021, China.

Agriculture, Rural and Water Resources Bureau of Jimei District, Xiamen 361022, China.

出版信息

Biology (Basel). 2024 Nov 15;13(11):930. doi: 10.3390/biology13110930.

Abstract

With the decrease in fish diversity, the monitoring of fish has become a current research hotspot. Here, the fish diversity and spatial distribution along a salinity gradient (0.28‱-3.32‱) in Xinglinwan Reservoir, China, were investigated using eDNA and the TSM. With the combination of both methods, 12 species from 6 orders, 9 families, and 11 genera were observed. The invasive species had the highest relative abundance, accounting for 56.91% in the TSM and 89.80% in eDNA, respectively. eDNA detected 83.33% of the species detected using the TSM, and an additional six species (50.0% of the total species) were detected via only eDNA. Moreover, eDNA supplemented the unavailable abundance data from the TSM. The TSM revealed that the diversity and relative abundance of fish inhabiting seawater and brackish water increased with an increase in salinity, but this was not found using eDNA. Thus, our study highlights that Xinglinwan Reservoir has a low species richness and is suffering from the great harm of ecological invasion. Our findings also show that eDNA could be reliable for providing a comprehensive picture of fish, but discriminating the spatial heterogeneity of fish communities is a challenge for its widespread adoption in lentic brackish systems.

摘要

随着鱼类多样性的减少,鱼类监测已成为当前的研究热点。在此,利用环境DNA(eDNA)和传统监测方法(TSM)对中国杏林湾水库沿盐度梯度(0.28‰-3.32‰)的鱼类多样性和空间分布进行了调查。结合这两种方法,共观察到6目9科11属的12种鱼类。入侵物种的相对丰度最高,在传统监测方法中占56.91%,在环境DNA检测中占89.80%。环境DNA检测到了传统监测方法所检测到物种的83.33%,另外还通过环境DNA单独检测到6个物种(占总物种数的50.0%)。此外,环境DNA补充了传统监测方法无法获得的丰度数据。传统监测方法显示,栖息在海水和咸淡水中的鱼类多样性和相对丰度随着盐度的增加而增加,但环境DNA检测未发现这一现象。因此,我们的研究突出表明,杏林湾水库物种丰富度较低,正遭受生态入侵的巨大危害。我们的研究结果还表明,环境DNA在全面了解鱼类情况方面可能是可靠的,但区分鱼类群落的空间异质性是其在半咸水湖泊系统中广泛应用面临的一个挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9596/11592076/392d89ed031c/biology-13-00930-g001.jpg

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