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Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem

Nahaa Alotaibi, Emma Kenyon Orcid Logo, Chiara Bertelli Orcid Logo, Rahmah N Al-Qthanin, Jessica Mead, Mark Parry, James Bull Orcid Logo

Frontiers in Plant Science, Volume: 13

Swansea University Authors: Nahaa Alotaibi, Emma Kenyon Orcid Logo, Chiara Bertelli Orcid Logo, James Bull Orcid Logo

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DOI (Published version): 10.3389/fpls.2022.887474

Abstract

Coastal vegetative ecosystems are among the most threatened in the world, facing multiple anthropogenic stressors. A good example of this is seagrass, which supports carbon capture, coastal stabilization, and biodiversity, but is declining globally at an alarming rate. To understand the causes and c...

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Published in: Frontiers in Plant Science
ISSN: 1664-462X
Published: Frontiers Media SA 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60535
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spelling v2 60535 2022-07-19 Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem e3df833717bb225e76942114fe795896 Nahaa Alotaibi Nahaa Alotaibi true false 8f07d20c6cb93623521101c62c4e4eb3 0000-0002-3898-1866 Emma Kenyon Emma Kenyon true false ef2a5aa98cae33d09caf7b77f6f16e71 0000-0002-9799-2522 Chiara Bertelli Chiara Bertelli true false 20742518482c020c80b81b88e5313356 0000-0002-4373-6830 James Bull James Bull true false 2022-07-19 SBI Coastal vegetative ecosystems are among the most threatened in the world, facing multiple anthropogenic stressors. A good example of this is seagrass, which supports carbon capture, coastal stabilization, and biodiversity, but is declining globally at an alarming rate. To understand the causes and consequences of changes to these ecosystems, we need to determine the linkages between different biotic and abiotic components. We used data on the seagrass, Zostera marina, collected by citizen scientists across 300 km of the south coast of the United Kingdom as a case study. We assembled data on seagrass genotype, phenotype, infauna, and associated bathymetry, light, sea surface temperature, and wave and current energy to test hypotheses on the distribution and diversity of this temperate sub-tidal ecosystem. We found spatial structure in population genetics, evident through local assortment of genotypes and isolation by distance across a broader geographic scale. By integrating our molecular data with information on seagrass phenotype and infauna, we demonstrate that these ecosystem components are primarily linked indirectly through the effects of shared environmental factors. It is unusual to examine genotypic, phenotypic, and environmental data in a single study, but this approach can inform both conservation and restoration of seagrass, as well as giving new insights into a widespread and important ecosystem. Journal Article Frontiers in Plant Science 13 Frontiers Media SA 1664-462X microsatellites, population genetics, Zostera marina, seagrass, coastal resilience 4 8 2022 2022-08-04 10.3389/fpls.2022.887474 Data availability statement:The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary material.Erratum available from publisher site: Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) This work was supported by the UK Natural Environment Research Council (NE/V016385/1) as part of the Sustainable Management of Marine Resources (SMMR) initiative awarded to JB, as well as a PhD scholarship awarded to NA by the Cultural Bureau of Saudi Arabia. The Community Seagrass Initiative (CSI) project was supported by the UK Heritage Lottery Fund. 2023-06-13T15:11:09.2946333 2022-07-19T14:45:50.7326143 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Nahaa Alotaibi 1 Emma Kenyon 0000-0002-3898-1866 2 Chiara Bertelli 0000-0002-9799-2522 3 Rahmah N Al-Qthanin 4 Jessica Mead 5 Mark Parry 6 James Bull 0000-0002-4373-6830 7 60535__24983__96ceae3d351142dfb3d612c5d4a61144.pdf 60535_VoR.pdf 2022-08-22T11:29:47.1069779 Output 3214982 application/pdf Version of Record true © 2022 Alotaibi, Kenyon, Bertelli, Al-Qthanin, Mead, Parry and Bull. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). true eng http://creativecommons.org/licenses/by/4.0/
title Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem
spellingShingle Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem
Nahaa Alotaibi
Emma Kenyon
Chiara Bertelli
James Bull
title_short Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem
title_full Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem
title_fullStr Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem
title_full_unstemmed Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem
title_sort Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem
author_id_str_mv e3df833717bb225e76942114fe795896
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author_id_fullname_str_mv e3df833717bb225e76942114fe795896_***_Nahaa Alotaibi
8f07d20c6cb93623521101c62c4e4eb3_***_Emma Kenyon
ef2a5aa98cae33d09caf7b77f6f16e71_***_Chiara Bertelli
20742518482c020c80b81b88e5313356_***_James Bull
author Nahaa Alotaibi
Emma Kenyon
Chiara Bertelli
James Bull
author2 Nahaa Alotaibi
Emma Kenyon
Chiara Bertelli
Rahmah N Al-Qthanin
Jessica Mead
Mark Parry
James Bull
format Journal article
container_title Frontiers in Plant Science
container_volume 13
publishDate 2022
institution Swansea University
issn 1664-462X
doi_str_mv 10.3389/fpls.2022.887474
publisher Frontiers Media SA
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
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description Coastal vegetative ecosystems are among the most threatened in the world, facing multiple anthropogenic stressors. A good example of this is seagrass, which supports carbon capture, coastal stabilization, and biodiversity, but is declining globally at an alarming rate. To understand the causes and consequences of changes to these ecosystems, we need to determine the linkages between different biotic and abiotic components. We used data on the seagrass, Zostera marina, collected by citizen scientists across 300 km of the south coast of the United Kingdom as a case study. We assembled data on seagrass genotype, phenotype, infauna, and associated bathymetry, light, sea surface temperature, and wave and current energy to test hypotheses on the distribution and diversity of this temperate sub-tidal ecosystem. We found spatial structure in population genetics, evident through local assortment of genotypes and isolation by distance across a broader geographic scale. By integrating our molecular data with information on seagrass phenotype and infauna, we demonstrate that these ecosystem components are primarily linked indirectly through the effects of shared environmental factors. It is unusual to examine genotypic, phenotypic, and environmental data in a single study, but this approach can inform both conservation and restoration of seagrass, as well as giving new insights into a widespread and important ecosystem.
published_date 2022-08-04T15:11:07Z
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