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利用DNA宏条形码技术分析鄱阳湖流域浮游动物多样性的季节和空间变异性

Seasonal and spatial variability of zooplankton diversity in the Poyang Lake Basin using DNA metabarcoding.

作者信息

Qiu Xuemei, Liu Xiongjun, Lu Quanfeng, Chen Jinping, Liang Tao, Wang Weikai, Ouyang Shan, Zhou Chunhua, Wu Xiaoping

机构信息

School of Life Sciences Nanchang University Nanchang China.

School of Life Sciences Jiangxi Science and Technology Normal University Nanchang China.

出版信息

Ecol Evol. 2022 Jun 5;12(6):e8972. doi: 10.1002/ece3.8972. eCollection 2022 Jul.

Abstract

Freshwater ecosystems face multiple threats to their stability globally. Poyang Lake is the largest lake in China, but its habitat has been seriously degraded because of human activities and natural factors (e.g. climate change), resulting in a decline in freshwater biodiversity. Zooplankton are useful indicators of environmental stressors because they are sensitive to external perturbations. DNA metabarcoding is an approach that has gained significant traction by aiding ecosystem conservation and management. Here, the seasonal and spatial variability in the zooplankton diversity were analyzed in the Poyang Lake Basin using DNA metabarcoding. The results showed that the community structure of zooplankton exhibited significant seasonal and spatial variability using DNA metabarcoding, where the community structure was correlated with turbidity, water temperature, pH, total phosphorus, and chlorophyll-a. These results indicated habitat variations affected by human activities and seasonal change could be the main driving factors for the variations of zooplankton community. This study also provides an important reference for the management of aquatic ecosystem health and conservation of aquatic biodiversity.

摘要

全球范围内,淡水生态系统的稳定性面临多重威胁。鄱阳湖是中国最大的湖泊,但其栖息地因人类活动和自然因素(如气候变化)而严重退化,导致淡水生物多样性下降。浮游动物是环境压力源的有用指标,因为它们对外部干扰敏感。DNA宏条形码技术是一种通过辅助生态系统保护和管理而获得显著关注的方法。在此,利用DNA宏条形码技术分析了鄱阳湖流域浮游动物多样性的季节和空间变异性。结果表明,使用DNA宏条形码技术,浮游动物的群落结构呈现出显著的季节和空间变异性,其中群落结构与浊度、水温、pH值、总磷和叶绿素a相关。这些结果表明,受人类活动和季节变化影响的栖息地变化可能是浮游动物群落变化的主要驱动因素。本研究还为水生生态系统健康管理和水生生物多样性保护提供了重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa50/9168339/6a7384b534b9/ECE3-12-e8972-g005.jpg

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