Blue mussel shell shape plasticity and natural environments: a quantitative approach
Shape variability represents an important direct response of organisms to selective environments. Here, we use a combination of geometric morphometrics and generalised additive mixed models (GAMMs) to identify spatial patterns of natural shell shape variation in the North Atlantic and Arctic blue mu...
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ftunivcam:oai:www.repository.cam.ac.uk:1810/270689 2024-01-14T10:04:47+01:00 Blue mussel shell shape plasticity and natural environments: a quantitative approach Telesca, L Michalek, Kati Sanders, Trystan Peck, Lloyd S Thyrring, Jakob Harper, Elizabeth M 2018-02-12 application/pdf https://www.repository.cam.ac.uk/handle/1810/270689 https://doi.org/10.17863/CAM.17628 eng eng Nature Publishing Group http://www.nature.com/articles/s41598-018-20122-9 Scientific Reports https://doi.org/10.17863/CAM.12536 https://www.repository.cam.ac.uk/handle/1810/270689 doi:10.17863/CAM.17628 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Community ecology Ecology Statistical methods Article 2018 ftunivcam https://doi.org/10.17863/CAM.1762810.17863/CAM.12536 2023-12-21T23:23:49Z Shape variability represents an important direct response of organisms to selective environments. Here, we use a combination of geometric morphometrics and generalised additive mixed models (GAMMs) to identify spatial patterns of natural shell shape variation in the North Atlantic and Arctic blue mussels, Mytilus edulis and M. trossulus, with environmental gradients of temperature, salinity and food availability across 3980 km of coastlines. New statistical methods and multiple study systems at various geographical scales allowed the uncoupling of the developmental and genetic contributions to shell shape and made it possible to identify general relationships between blue mussel shape variation and environment that are independent of age and species influences. We find salinity had the strongest effect on the latitudinal patterns of Mytilus shape, producing shells that were more elongated, narrower and with more parallel dorsoventral margins at lower salinities. Temperature and food supply, however, were the main drivers of mussel shape heterogeneity. Our findings revealed similar shell shape responses in Mytilus to less favourable environmental conditions across the different geographical scales analysed. Our results show how shell shape plasticity represents a powerful indicator to understand the alterations of blue mussel communities in rapidly changing environments. The work was funded by the European Union Seventh Framework Programme, Marie Curie ITN under grant agreement n° 605051. Article in Journal/Newspaper Arctic North Atlantic Apollo - University of Cambridge Repository Arctic |
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Apollo - University of Cambridge Repository |
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ftunivcam |
language |
English |
topic |
Community ecology Ecology Statistical methods |
spellingShingle |
Community ecology Ecology Statistical methods Telesca, L Michalek, Kati Sanders, Trystan Peck, Lloyd S Thyrring, Jakob Harper, Elizabeth M Blue mussel shell shape plasticity and natural environments: a quantitative approach |
topic_facet |
Community ecology Ecology Statistical methods |
description |
Shape variability represents an important direct response of organisms to selective environments. Here, we use a combination of geometric morphometrics and generalised additive mixed models (GAMMs) to identify spatial patterns of natural shell shape variation in the North Atlantic and Arctic blue mussels, Mytilus edulis and M. trossulus, with environmental gradients of temperature, salinity and food availability across 3980 km of coastlines. New statistical methods and multiple study systems at various geographical scales allowed the uncoupling of the developmental and genetic contributions to shell shape and made it possible to identify general relationships between blue mussel shape variation and environment that are independent of age and species influences. We find salinity had the strongest effect on the latitudinal patterns of Mytilus shape, producing shells that were more elongated, narrower and with more parallel dorsoventral margins at lower salinities. Temperature and food supply, however, were the main drivers of mussel shape heterogeneity. Our findings revealed similar shell shape responses in Mytilus to less favourable environmental conditions across the different geographical scales analysed. Our results show how shell shape plasticity represents a powerful indicator to understand the alterations of blue mussel communities in rapidly changing environments. The work was funded by the European Union Seventh Framework Programme, Marie Curie ITN under grant agreement n° 605051. |
format |
Article in Journal/Newspaper |
author |
Telesca, L Michalek, Kati Sanders, Trystan Peck, Lloyd S Thyrring, Jakob Harper, Elizabeth M |
author_facet |
Telesca, L Michalek, Kati Sanders, Trystan Peck, Lloyd S Thyrring, Jakob Harper, Elizabeth M |
author_sort |
Telesca, L |
title |
Blue mussel shell shape plasticity and natural environments: a quantitative approach |
title_short |
Blue mussel shell shape plasticity and natural environments: a quantitative approach |
title_full |
Blue mussel shell shape plasticity and natural environments: a quantitative approach |
title_fullStr |
Blue mussel shell shape plasticity and natural environments: a quantitative approach |
title_full_unstemmed |
Blue mussel shell shape plasticity and natural environments: a quantitative approach |
title_sort |
blue mussel shell shape plasticity and natural environments: a quantitative approach |
publisher |
Nature Publishing Group |
publishDate |
2018 |
url |
https://www.repository.cam.ac.uk/handle/1810/270689 https://doi.org/10.17863/CAM.17628 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic North Atlantic |
genre_facet |
Arctic North Atlantic |
op_relation |
https://doi.org/10.17863/CAM.12536 https://www.repository.cam.ac.uk/handle/1810/270689 doi:10.17863/CAM.17628 |
op_rights |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.17863/CAM.1762810.17863/CAM.12536 |
_version_ |
1788059238310871040 |