Unlocking the secret life of blue mussels: Exploring connectivity in the Skagerrak through biophysical modeling and population genomics

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY Evolutionary Applications Pub Date : 2024-05-20 DOI:10.1111/eva.13704
Malin Gustafsson, Åsa Strand, Ane T. Laugen, Jon Albretsen, Carl André, Göran Broström, Per Erik Jorde, Halvor Knutsen, Olga Ortega-Martinez, Marte Sodeland, Malin Waern, Anna-Lisa Wrange, Pierre De Wit
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Abstract

Knowledge of functional dispersal barriers in the marine environment can be used to inform a wide variety of management actions, such as marine spatial planning, restoration efforts, fisheries regulations, and invasive species management. Locations and causes of dispersal barriers can be studied through various methods, including movement tracking, biophysical modeling, demographic models, and genetics. Combining methods illustrating potential dispersal, such as biophysical modeling, with realized dispersal through, e.g., genetic connectivity estimates, provides particularly useful information for teasing apart potential causes of observed barriers. In this study, we focus on blue mussels (Mytilus edulis) in the Skagerrak—a marginal sea connected to the North Sea in Northern Europe—and combine biophysical models of larval dispersal with genomic data to infer locations and causes of dispersal barriers in the area. Results from both methods agree; patterns of ocean currents are a major structuring factor in the area. We find a complex pattern of source-sink dynamics with several dispersal barriers and show that some areas can be isolated despite an overall high dispersal capability. Finally, we translate our finding into management advice that can be used to sustainably manage this ecologically and economically important species in the future.

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揭开蓝贻贝的秘密生活:通过生物物理建模和种群基因组学探索斯卡格拉克海峡的连通性。
有关海洋环境中功能性扩散障碍的知识可用于为各种管理行动提供信息,如海洋空间规划、恢复工作、渔业法规和入侵物种管理。散布障碍的位置和原因可通过各种方法进行研究,包括移动追踪、生物物理建模、人口统计模型和遗传学。将生物物理建模等说明潜在扩散的方法与遗传连通性估计等实现扩散的方法结合起来,可以提供特别有用的信息,以揭示观察到的障碍的潜在原因。在这项研究中,我们重点研究了斯卡格拉克--北欧与北海相连的边缘海--的蓝贻贝(Mytilus edulis),并将幼体扩散的生物物理模型与基因组数据相结合,推断出该地区扩散障碍的位置和原因。两种方法得出的结果一致;洋流模式是该地区的主要结构性因素。我们发现了一个复杂的源-汇动态模式,其中存在多个扩散障碍,并表明尽管总体扩散能力很强,但某些区域可能是孤立的。最后,我们将研究结果转化为管理建议,以便在未来对这一具有重要生态和经济价值的物种进行可持续管理。
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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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