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分散电流解释了生态和经济上重要的鱼类种群连接的模式

Claire E Schraidt¹, Amanda S Ackiss^2,3, Wesley A Larson⁴

¹Department of Forestry and Natural Resources Purdue University West Lafayette Indiana USA.

Evolutionary applications

|July 26, 2023

概括

散流强烈影响密歇根湖的黄种群连接,尽管基因流量很高. 这项研究将遗传数据与生物物理模型相结合,以确定水生物种群结构的关键驱动因素.

科学领域:

生态学和进化生物学.
水生生态学水生生态学
人口遗传学人口遗传学

背景情况:

鉴定人口连接的驱动因素至关重要,但在水生系统中由于电流和高基因流动而具有挑战性.
传统的种群遗传工具在动态水生环境中可能受到限制.

研究的目的:

确定密歇根湖内黄 (Perca flavescens) 种群连接的主要驱动因素.
开发和应用综合建模方法,将生物物理和生态遗传模型与基因组数据相结合.
评估潮流,行为和海幼虫持续时间 (PLD) 对种群结构的相对贡献.

主要方法:

在20个密歇根湖地区使用RAD-Seq对959只黄鱼进行基因定型.
开发一种综合性方法,将基于生物物理和生态遗传剂的模型结合起来.
产生预测性遗传差异化值,并将其与经验数据进行比较.

主要成果:

主流域的高基因流量导致了低基因差异化 (Fst = 0.003).
分散电流是遗传差异化模式的最强有力的预测因素.
在绿湾和主要盆地种群之间观察到显著的遗传差异 (Fst = 0.11).

结论:

使用全基因组数据的整合建模可以揭示即使在高基因流系统中,人口连接的驱动因素.
散流是影响密歇根湖主要流域黄种群连接的主要因素.
格林湾和主要流域人口之间存在着不同的人口结构.

关键词:

基因流是指基因的流动.幼虫的分散幼虫的分散海洋学海流海洋学海流人口连接人口的连接性.黄色的座座座是一种黄色的座.

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