Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule , using a multimodelling approach.

Autor: Coscia I; Ecosystems and Environment Research Centre School of Science, Engineering and Environment University of Salford Salford UK., Wilmes SB; School of Ocean Sciences Marine Centre Wales Bangor University Menai Bridge UK., Ironside JE; Institute of Biological, Environmental and Rural Sciences Aberystwyth University, Penglais Aberystwyth UK., Goward-Brown A; School of Ocean Sciences Marine Centre Wales Bangor University Menai Bridge UK., O'Dea E; Met Office Exeter UK., Malham SK; School of Ocean Sciences Marine Centre Wales Bangor University Menai Bridge UK., McDevitt AD; Ecosystems and Environment Research Centre School of Science, Engineering and Environment University of Salford Salford UK., Robins PE; School of Ocean Sciences Marine Centre Wales Bangor University Menai Bridge UK.
Jazyk: angličtina
Zdroj: Evolutionary applications [Evol Appl] 2020 Feb 24; Vol. 13 (8), pp. 1854-1867. Date of Electronic Publication: 2020 Feb 24 (Print Publication: 2020).
DOI: 10.1111/eva.12932
Abstrakt: 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 F ST  = 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.
Competing Interests: None declared.
(© 2020 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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