Genetic and biophysical modelling evidence of generational connectivity in the intensively exploited, Western North Atlantic red grouper (Epinephelus morio)

Genetic and biophysical modelling evidence of generational connectivity in the intensively exploited, Western North Atlantic red grouper (Epinephelus morio)
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北大西洋西部红石斑鱼(Epinephelus morio)被广泛开发的世代连通性的遗传和生物物理模型证据

DOI:
10.1093/icesjms/fsz201
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发表时间:
2019
影响因子:
3.3
通讯作者:
Shivji, Mahmood S
Shivji, Mahmood S
中科院分区:
农林科学2区
文献类型:
--
作者:
Bernard, Andrea M;Johnston, Matthew W;Pérez-Portela, Rocío;Oleksiak, Marjorie F;Coleman, Felicia C;Shivji, Mahmood S

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了解珊瑚礁生物的连通性对于协助养护生物多样性和促进这些生态系统的可持续渔业十分重要。评估珊瑚礁连通性的常见方法包括种群遗传学和生物物理模型。就个人而言,这些技术可以提供对人口结构的洞察;然而,通过任何单一分析获得的信息往往受到限制,强调需要采取多方面的方法。为了评估赤点石斑鱼(Epinephelus Morio)的连通性动态,我们利用两套遗传标记(12个微卫星座位和632个单核苷酸多态)来解析该物种的种群遗传结构,并通过生物物理模型对这些相同区域和空间尺度上的潜在幼体“源”和“汇”进行空间预测。我们的遗传调查表明,几乎没有(如果有的话)种群遗传结构和建模工作的证据表明,采样区域之间在多个世代之间存在生态连接的潜力。我们提出,使用经验和理论的双重方法可以减少与使用任何单一方法相关的错误,并为验证这两种方法中的任何一种提供了重要的一步。
Understanding the connectivity of reef organisms is important to assist in the conservation of biological diversity and to facilitate sustainable fisheries in these ecosystems. Common methods to assess reef connectivity include both population genetics and biophysical modelling. Individually, these techniques can offer insight into population structure; however, the information acquired by any singular analysis is often subject to limitations, underscoring the need for a multi-faceted approach. To assess the connectivity dynamics of the red grouper (Epinephelus morio), an economically important reef fish species found throughout the Gulf of Mexico and USA western Atlantic, we utilized two sets of genetic markers (12 microsatellite loci and 632 single nucleotide polymorphisms) to resolve this species’ population genetic structure, along with biophysical modelling to deliver a spatial forecast of potential larval “sources” and “sinks” across these same regions and spatial scale. Our genetic survey indicates little, if any, evidence of population genetic structure and modelling efforts indicate the potential for ecological connectivity between sampled regions over multiple generations. We offer that using a dual empirical and theoretical approach lessens the error associated with the use of any single method and provides an important step towards the validation of either of these methodologies.
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