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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9386313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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