@article{54345d7352654244a5ed23e97bc81dd0,
title = "Fine‐scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multimodelling approach",
abstract = "Population dynamics of marine species that are sessile as adults are driven by oceanographic dispersal of larvae from spawning to nursery grounds. This is mediated by life‐history traits such as the timing and frequency of spawning, larval behaviour and duration, and settlement success. Here, we use 1725 single nucleotide polymorphisms (SNPs) to study the fine‐scale spatial genetic structure in the commercially important cockle species Cerastoderma edule and compare it to environmental variables and current‐mediated larval dispersal within a modelling framework. Hydrodynamic modelling employing the NEMO Atlantic Margin Model (AMM15) was used to simulate larval transport and estimate connectivity between populations during spawning months (April–September), factoring in larval duration and interannual variability of ocean currents. Results at neutral loci reveal the existence of three separate genetic clusters (mean FST = 0.021) within a relatively fine spatial scale in the north‐west Atlantic. Environmental association analysis indicates that oceanographic currents and geographic proximity explain over 20% of the variance observed at neutral loci, while genetic variance (71%) at outlier loci was explained by sea surface temperature extremes. These results fill an important knowledge gap in the management of a commercially important and overexploited species, bringing us closer to understanding the role of larval dispersal in connecting populations at a fine geographic scale.",
keywords = "RADseq, larval dispersal, population connectivity, Particle tracking, Irish Sea, redundancy analysis, asymmetric eigenvector maps, particle tracking",
author = "Ilaria Coscia and Sophie Wilmes and Joe Ironside and {Goward Brown}, Alice and Enda O'Dea and Malham, {Shelagh K.} and McDevitt, {Allan D.} and Peter Robins",
note = "Funding Information: The genomic data were generated thanks to an internal grant awarded to IC by Aberystwyth University. The authors also wish to acknowledge the support of the Interreg Ireland–Wales Programme ISPP ( http://ispp.bangor.ac.uk/ ) and Bluefish (bluefishproject.com) projects, the Interreg Atlantic Area Programme Cockles project ( https://cockles-project.eu/ ) and the SUSFISH project. Oceanographic data were provided through the SEACAMS project ( www.seacams.ac.uk ), funded by the Welsh Government, the Higher Education Funding Council for Wales, the Welsh European Funding Office, and the European Regional Development Fund Convergence Programme. The model simulations were conducted on the Supercomputing‐Wales high‐performance computing ( www.supercomputing.wales ) system (a collaboration between Welsh universities and the Welsh Government), supported by Ade Fewings and Aaron Owen. The authors are grateful to all the people who have helped with sampling, Mandi Knott from the North Western Inshore Fisheries and Conservation Authority and Emer Morgan from University College Cork, as well as in the laboratory (Matt Hegarty and Elizabeth Harding), and the colleagues Niall McKeown and Hayley V. Watson for continuous help and support. The authors also are extremely grateful to Paulino Martinez for constructive comments on the manuscript. Funding Information: The genomic data were generated thanks to an internal grant awarded to IC by Aberystwyth University. The authors also wish to acknowledge the support of the Interreg Ireland–Wales Programme ISPP (http://ispp.bangor.ac.uk/) and Bluefish (bluefishproject.com) projects, the Interreg Atlantic Area Programme Cockles project (https://cockles-project.eu/) and the SUSFISH project. Oceanographic data were provided through the SEACAMS project (www.seacams.ac.uk), funded by the Welsh Government, the Higher Education Funding Council for Wales, the Welsh European Funding Office, and the European Regional Development Fund Convergence Programme. The model simulations were conducted on the Supercomputing-Wales high-performance computing (www.supercomputing.wales) system (a collaboration between Welsh universities and the Welsh Government), supported by Ade Fewings and Aaron Owen. The authors are grateful to all the people who have helped with sampling, Mandi Knott from the North Western Inshore Fisheries and Conservation Authority and Emer Morgan from University College Cork, as well as in the laboratory (Matt Hegarty and Elizabeth Harding), and the colleagues Niall McKeown and Hayley V. Watson for continuous help and support. The authors also are extremely grateful to Paulino Martinez for constructive comments on the manuscript. Publisher Copyright: {\textcopyright} 2020 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd",
year = "2020",
month = sep,
day = "2",
doi = "10.1111/eva.12932",
language = "English",
volume = "13",
pages = "1854--1867",
journal = "Evolutionary Applications",
issn = "1752-4571",
publisher = "Wiley",
number = "8",
}
