潜在产卵者之间的扩散和基因流动:受多方面人为影响的溯河褐鳟种群的源库结构

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
K. L. Hawley, J. Thaulow, H. A. Urke, T. Kristensen, N. J. Barson, T. O. Haugen
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引用次数: 0

摘要

在相互联系的种群中,分散影响个体的适应性和局部动态、稳定性和适应性。溯河鲑鱼以其精确的归巢和对当地水生环境的适应而闻名,同时在多个相连的栖息地之间导航。然而,最近的研究表明,在系统之间有相当大的偏离,在连接的亚种群或deme之间产生了超种群动态。鲑鱼构成了宝贵的经济和生态资源,但由于多方面的人为干扰,许多种群正在下降。人口减少居住在改变环境的背景下,可能会影响人口的生存能力和分散。为了探索受影响的邻近产卵褐鳟种群(Salmo trutta)是否存在种群迁移过程,在挪威Sognefjorden的一个广泛(>; 200公里)的半封闭峡湾系统中,对四个种群进行了为期4年的个体(N = 84)扩散行为(使用生物遥传技术)和遗传分析研究。为了估计每个研究种群的人口统计状况,建立了生命表矩阵,从中可以确定demes之间潜在的源-汇结构。Sognefjorden褐鳟形成了一个由多个库种群组成的元种群,主要由单一来源补充。只有一个种群表现出内在增长(即λ >; 1),该种群中过多的新成员归因于峡湾内的高存活率。在潜在的产卵者中,55%的种群进行了分散运动,个体年龄和迁移程度影响了这种行为的可能性。成功分散(流浪)的产卵种群占总产卵种群的25%。广阔的水景产生了从最内层到最外层种群的定向基因流动,在邻近种群中观察到的比率最高。尽管大多数分散导致了不成功的产卵事件和/或不是为了产卵(例如,为了越冬而进行),但种群间的连通性是显著的。这种连通性可能增强了超种群对峡湾内当代条件变化的整体适应能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dispersal and Gene Flow Among Potential Spawners: Source–Sink Structure Among Populations of Anadromous Brown Trout Exposed to Multifaceted Anthropogenic Impacts

Dispersal and Gene Flow Among Potential Spawners: Source–Sink Structure Among Populations of Anadromous Brown Trout Exposed to Multifaceted Anthropogenic Impacts

Dispersal impacts individual fitness and influences local dynamics, stability and adaptation in interconnected populations. Anadromous salmonid fishes are renowned for their precise homing and adaptations to local aquatic environments, while navigating between multiple connected habitats. However, recent studies have demonstrated considerable straying among systems, generating metapopulation dynamics among connected subpopulations or demes. Salmonids constitute valuable economic and ecological resources, yet many populations are declining due to multifaceted anthropogenic-induced disturbances. This context of reduced populations inhabiting altered environments may impact both population viability and dispersal. To explore if metapopulation processes are present among impacted neighbouring populations of anadromous brown trout (Salmo trutta), a 4-year study of individual (N = 84) dispersal behaviour (using biotelemetry) and genetic analysis was conducted in four populations, connected by an extensive (> 200 km), semi-enclosed fjord system, Sognefjorden, Norway. To estimate the demographic status of each study population, life-table matrices were built, from which a potential source–sink structure among demes could be identified. Sognefjorden brown trout formed a metapopulation consisting of multiple sink populations, primarily supplemented from a single source. Only one population exhibited intrinsic growth (i.e., λ > 1), with excess recruits in this population attributed to high survival within the fjord. Among potential spawners, dispersal movements were performed by 55% of the total population, with individual age and migration extent affecting the probability of this behaviour. Successful dispersal (straying) was performed by 25% of the total spawning population. The extensive hydroscape generated directional gene flow from the innermost to outermost populations, with the highest rates observed among neighbouring populations. Although most dispersal resulted in unsuccessful spawning events and/or was not intended for spawning (e.g., conducted for overwintering purposes), connectivity among population demes was significant. This connectivity likely enhances the overall resilience of the metapopulation to variation and shifts in contemporary conditions within the fjord.

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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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