Biodiversity and distribution patterns of blooming jellyfish in the Bohai Sea revealed by eDNA metabarcoding

IF 3.4 Q1 Agricultural and Biological Sciences
Lijing Ye, Saijun Peng, Yuanqing Ma, Wenjing Zhang, Lei Wang, Xiyan Sun, Chen Zhang, Munjira Yeasmin, Jianmin Zhao, Zhijun Dong
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引用次数: 0

Abstract

The mass occurrence of scyphozoan jellyfish severely affects marine ecosystems and coastal economies, and the study of blooming jellyfish population dynamics has emerged in response. However, traditional ecological survey methods required for such research have difficulties in detecting cryptic life stages and surveying population dynamics owing to high spatiotemporal variations in their occurrence. The environmental DNA (eDNA) technique is an effective tool for overcoming these limitations. In this study, we investigated the biodiversity and spatial distribution characteristics of blooming jellyfish in the Bohai Sea of China using an eDNA metabarcoding approach, which covered the surface, middle, and bottom seawater layers, and sediments. Six jellyfish taxa were identified, of which Aurelia coerulea, Nemopilema nomurai, and Cyanea nozakii were the most dominant. These three blooming jellyfish presented a marked vertical distribution pattern in the offshore regions. A. coerulea was mainly distributed in the surface layer, whereas C. nozakii and N. nomurai showed a upper-middle and middle-bottom aggregation, respectively. Horizontally, A. coerulea and C. nozakii were more abundant in the inshore regions, whereas N. nomurai was mainly distributed offshore. Spearman’s correlation analysis revealed a strong correlation between the eDNA of the three dominant blooming jellyfish species and temperature, salinity, and nutrients. Our study confirms the applicability of the eDNA approach to both biodiverstiy evaluation of blooming jellyfish and investigating their spatial distribution, and it can be used as a supplementary tool to traditional survey methods.

Abstract Image

eDNA 代谢编码揭示渤海盛花水母的生物多样性和分布模式
鞘水母的大量出现严重影响了海洋生态系统和沿海经济,因此出现了对盛开水母种群动态的研究。然而,由于水母出现的时空变化很大,此类研究需要的传统生态调查方法难以检测其隐性生命阶段和调查种群动态。环境 DNA(eDNA)技术是克服这些限制的有效工具。本研究采用 eDNA 代谢编码方法,研究了中国渤海海蜇的生物多样性和空间分布特征。共鉴定出 6 个水母类群,其中 Aurelia coerulea、Nemopilema nomurai 和 Cyanea nozakii 是最主要的水母类群。这三种开花水母在近海区域呈现明显的垂直分布模式。A. coerulea 主要分布在表层,而 C. nozakii 和 N. nomurai 则分别呈中上层和中底层聚集。在水平方向上,A. coerulea 和 C. nozakii 更多分布在近岸区域,而 N. nomurai 则主要分布在近海区域。斯皮尔曼相关分析表明,三种主要盛花水母的 eDNA 与温度、盐度和营养物质之间有很强的相关性。我们的研究证实,eDNA方法适用于盛花水母的生物多样性评估和空间分布调查,可作为传统调查方法的补充工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Evolutionary Biology
BMC Evolutionary Biology 生物-进化生物学
CiteScore
5.80
自引率
0.00%
发文量
0
审稿时长
6 months
期刊介绍: BMC Evolutionary Biology is an open access, peer-reviewed journal that considers articles on all aspects of molecular and non-molecular evolution of all organisms, as well as phylogenetics and palaeontology.
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