Monthly eDNA Metabarcoding Data From the Coastal North Sea Area Align With Fish Species-Specific Life Cycle Events

IF 6.2 Q1 Agricultural and Biological Sciences
Marianne Lolivier, Isolde Cornelis, Sara Maes, Jonas Mortelmans, Hans Polet, Sofie Derycke
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引用次数: 0

Abstract

Coastal environments serve as essential nursing, feeding, and spawning grounds for commercially and ecologically important fish species, some of which use nearshore habitats as transitional steps in their ontogenetic migration. Understanding fish communities' spatial and temporal dynamics in coastal habitats is fundamental for sustainable ecosystems and fisheries management. Despite the importance of long-term monitoring to obtain information on fish movements and distribution, fine-scale temporal datasets on fish communities remain scarce due to the intense field work required. In the present study, we explored the use of eDNA 12S metabarcoding of seawater samples to monitor fine-scale temporal and spatial patterns in fish communities. In total, 168 samples were collected across 20 sampling campaigns conducted monthly between August 2021 and August 2023 within the 12 nautical miles of the Belgian part of the North Sea. eDNA patterns revealed no marked temporal or spatial patterns at the community levels due to the ubiquitous presence of the dominant Southern North Sea fish species linked to their non-migratory behavior and use of the coastal Belgian waters as nursing and spawning grounds. However, species-specific temporal patterns reflected their reproductive activity and seasonal migrations. Additionally, fish species spatial distribution was consistent with previous beam trawl and eDNA-based surveys conducted within the Belgian part of the North Sea and was mainly driven by the environmental gradient created by freshwater discharge from the Scheldt estuary. Our findings demonstrate that eDNA metabarcoding is a valuable biomonitoring tool and provides insight into fish distribution, migration, and reproductive activity.

Abstract Image

来自北海沿海地区的每月eDNA元条形码数据与鱼类特定生命周期事件一致
沿海环境为商业和生态上重要的鱼类提供了必要的哺育、喂养和产卵场所,其中一些鱼类利用近岸栖息地作为其个体发生迁移的过渡步骤。了解沿海生境中鱼类群落的时空动态是可持续生态系统和渔业管理的基础。尽管长期监测对于获取鱼类运动和分布信息很重要,但由于需要大量的实地工作,关于鱼类群落的精细时间数据集仍然很少。在本研究中,我们探索了利用海水样本的eDNA 12S元条形码来监测鱼类群落的精细时空格局。在2021年8月至2023年8月期间,在北海比利时部分12海里范围内每月进行20次抽样活动,共收集了168个样本。在群落水平上,eDNA模式没有显示出明显的时间或空间模式,这是由于北海南部的优势鱼类普遍存在,与它们的非洄游行为和比利时沿海水域作为哺育和产卵地有关。然而,物种特有的时间模式反映了它们的繁殖活动和季节性迁徙。此外,鱼类的空间分布与之前在北海比利时部分进行的波束拖网和edna调查一致,主要是由Scheldt河口淡水排放造成的环境梯度驱动的。我们的研究结果表明,eDNA元条形码是一种有价值的生物监测工具,可以深入了解鱼类的分布、迁徙和繁殖活动。
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来源期刊
Environmental DNA
Environmental DNA Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
11.00
自引率
0.00%
发文量
99
审稿时长
16 weeks
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