Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach
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...
Published in: | Evolutionary Applications |
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Main Authors: | , , , , , , , |
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2020
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Online Access: | https://research.bangor.ac.uk/portal/en/researchoutputs/finescale-seascape-genomics-of-an-exploited-marine-species-the-common-cockle-cerastoderma-edule-using-a-multimodelling-approach(1f06a250-b389-4377-b703-9a92aa826e9c).html https://doi.org/10.1111/eva.12932 https://research.bangor.ac.uk/ws/files/27892654/2020Fine_scale_seascape_genomics_of_an_exploited_marine_species.pdf |
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ftuwalesbangcris:oai:research.bangor.ac.uk:publications/1f06a250-b389-4377-b703-9a92aa826e9c 2023-05-15T17:40:22+02:00 Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach Coscia, Ilaria Wilmes, Sophie-Berenice Ironside, J.E. Goward Brown, Alice O'Dea, Enda Malham, Shelagh McDevitt, AD Robins, Peter 2020-09 application/pdf https://research.bangor.ac.uk/portal/en/researchoutputs/finescale-seascape-genomics-of-an-exploited-marine-species-the-common-cockle-cerastoderma-edule-using-a-multimodelling-approach(1f06a250-b389-4377-b703-9a92aa826e9c).html https://doi.org/10.1111/eva.12932 https://research.bangor.ac.uk/ws/files/27892654/2020Fine_scale_seascape_genomics_of_an_exploited_marine_species.pdf eng eng info:eu-repo/semantics/openAccess Coscia , I , Wilmes , S-B , Ironside , J E , Goward Brown , A , O'Dea , E , Malham , S , McDevitt , AD & Robins , P 2020 , ' Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach ' , Evolutionary Applications , vol. 13 , no. 8 , pp. 1854-1867 . https://doi.org/10.1111/eva.12932 Irish Sea RADseq larval dispersal particle tracking population connectivity redundancy analysis article 2020 ftuwalesbangcris https://doi.org/10.1111/eva.12932 2021-12-26T12:06:43Z 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. Article in Journal/Newspaper North West Atlantic Bangor University: Research Portal Evolutionary Applications 13 8 1854 1867 |
institution |
Open Polar |
collection |
Bangor University: Research Portal |
op_collection_id |
ftuwalesbangcris |
language |
English |
topic |
Irish Sea RADseq larval dispersal particle tracking population connectivity redundancy analysis |
spellingShingle |
Irish Sea RADseq larval dispersal particle tracking population connectivity redundancy analysis Coscia, Ilaria Wilmes, Sophie-Berenice Ironside, J.E. Goward Brown, Alice O'Dea, Enda Malham, Shelagh McDevitt, AD Robins, Peter Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach |
topic_facet |
Irish Sea RADseq larval dispersal particle tracking population connectivity redundancy analysis |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Coscia, Ilaria Wilmes, Sophie-Berenice Ironside, J.E. Goward Brown, Alice O'Dea, Enda Malham, Shelagh McDevitt, AD Robins, Peter |
author_facet |
Coscia, Ilaria Wilmes, Sophie-Berenice Ironside, J.E. Goward Brown, Alice O'Dea, Enda Malham, Shelagh McDevitt, AD Robins, Peter |
author_sort |
Coscia, Ilaria |
title |
Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach |
title_short |
Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach |
title_full |
Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach |
title_fullStr |
Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach |
title_full_unstemmed |
Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach |
title_sort |
fine-scale seascape genomics of an exploited marine species, the common cockle cerastoderma edule, using a multi-modelling approach |
publishDate |
2020 |
url |
https://research.bangor.ac.uk/portal/en/researchoutputs/finescale-seascape-genomics-of-an-exploited-marine-species-the-common-cockle-cerastoderma-edule-using-a-multimodelling-approach(1f06a250-b389-4377-b703-9a92aa826e9c).html https://doi.org/10.1111/eva.12932 https://research.bangor.ac.uk/ws/files/27892654/2020Fine_scale_seascape_genomics_of_an_exploited_marine_species.pdf |
genre |
North West Atlantic |
genre_facet |
North West Atlantic |
op_source |
Coscia , I , Wilmes , S-B , Ironside , J E , Goward Brown , A , O'Dea , E , Malham , S , McDevitt , AD & Robins , P 2020 , ' Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach ' , Evolutionary Applications , vol. 13 , no. 8 , pp. 1854-1867 . https://doi.org/10.1111/eva.12932 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1111/eva.12932 |
container_title |
Evolutionary Applications |
container_volume |
13 |
container_issue |
8 |
container_start_page |
1854 |
op_container_end_page |
1867 |
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1766141281005731840 |