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

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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Autores principales: Alotaibi, Nahaa M, Kenyon, Emma J, Bertelli, Chiara M, Al-Qthanin, Rahmah N, Mead, Jessica, Parry, Mark, Bull, James C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386313/
https://www.ncbi.nlm.nih.gov/pubmed/35991459
http://dx.doi.org/10.3389/fpls.2022.887474
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author Alotaibi, Nahaa M
Kenyon, Emma J
Bertelli, Chiara M
Al-Qthanin, Rahmah N
Mead, Jessica
Parry, Mark
Bull, James C
author_facet Alotaibi, Nahaa M
Kenyon, Emma J
Bertelli, Chiara M
Al-Qthanin, Rahmah N
Mead, Jessica
Parry, Mark
Bull, James C
author_sort Alotaibi, Nahaa M
collection PubMed
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.
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spelling pubmed-93863132022-08-19 Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem Alotaibi, Nahaa M Kenyon, Emma J Bertelli, Chiara M Al-Qthanin, Rahmah N Mead, Jessica Parry, Mark Bull, James C Front Plant Sci Plant Science 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. Frontiers Media S.A. 2022-08-04 /pmc/articles/PMC9386313/ /pubmed/35991459 http://dx.doi.org/10.3389/fpls.2022.887474 Text en Copyright © 2022 Alotaibi, Kenyon, Bertelli, Al-Qthanin, Mead, Parry and Bull. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Alotaibi, Nahaa M
Kenyon, Emma J
Bertelli, Chiara M
Al-Qthanin, Rahmah N
Mead, Jessica
Parry, Mark
Bull, James C
Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem
title 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_short 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
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386313/
https://www.ncbi.nlm.nih.gov/pubmed/35991459
http://dx.doi.org/10.3389/fpls.2022.887474
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