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Genetic and epigenetic variation in Spartina alterniflora following the Deepwater Horizon oil spill
Catastrophic events offer unique opportunities to study rapid population response to stress in natural settings. In concert with genetic variation, epigenetic mechanisms may allow populations to persist through severe environmental challenges. In 2010, the Deepwater Horizon oil spill devastated larg...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680422/ https://www.ncbi.nlm.nih.gov/pubmed/29151871 http://dx.doi.org/10.1111/eva.12482 |
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author | Robertson, Marta Schrey, Aaron Shayter, Ashley Moss, Christina J Richards, Christina |
author_facet | Robertson, Marta Schrey, Aaron Shayter, Ashley Moss, Christina J Richards, Christina |
author_sort | Robertson, Marta |
collection | PubMed |
description | Catastrophic events offer unique opportunities to study rapid population response to stress in natural settings. In concert with genetic variation, epigenetic mechanisms may allow populations to persist through severe environmental challenges. In 2010, the Deepwater Horizon oil spill devastated large portions of the coastline along the Gulf of Mexico. However, the foundational salt marsh grass, Spartina alterniflora, showed high resilience to this strong environmental disturbance. Following the spill, we simultaneously examined the genetic and epigenetic structure of recovering populations of S. alterniflora to oil exposure. We quantified genetic and DNA methylation variation using amplified fragment length polymorphism and methylation sensitive fragment length polymorphism (MS‐AFLP) to test the hypothesis that response to oil exposure in S. alterniflora resulted in genetically and epigenetically based population differentiation. We found high genetic and epigenetic variation within and among sites and found significant genetic differentiation between contaminated and uncontaminated sites, which may reflect nonrandom mortality in response to oil exposure. Additionally, despite a lack of genomewide patterns in DNA methylation between contaminated and uncontaminated sites, we found five MS‐AFLP loci (12% of polymorphic MS‐AFLP loci) that were correlated with oil exposure. Overall, our findings support genetically based differentiation correlated with exposure to the oil spill in this system, but also suggest a potential role for epigenetic mechanisms in population differentiation. |
format | Online Article Text |
id | pubmed-5680422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56804222017-11-17 Genetic and epigenetic variation in Spartina alterniflora following the Deepwater Horizon oil spill Robertson, Marta Schrey, Aaron Shayter, Ashley Moss, Christina J Richards, Christina Evol Appl Original Articles Catastrophic events offer unique opportunities to study rapid population response to stress in natural settings. In concert with genetic variation, epigenetic mechanisms may allow populations to persist through severe environmental challenges. In 2010, the Deepwater Horizon oil spill devastated large portions of the coastline along the Gulf of Mexico. However, the foundational salt marsh grass, Spartina alterniflora, showed high resilience to this strong environmental disturbance. Following the spill, we simultaneously examined the genetic and epigenetic structure of recovering populations of S. alterniflora to oil exposure. We quantified genetic and DNA methylation variation using amplified fragment length polymorphism and methylation sensitive fragment length polymorphism (MS‐AFLP) to test the hypothesis that response to oil exposure in S. alterniflora resulted in genetically and epigenetically based population differentiation. We found high genetic and epigenetic variation within and among sites and found significant genetic differentiation between contaminated and uncontaminated sites, which may reflect nonrandom mortality in response to oil exposure. Additionally, despite a lack of genomewide patterns in DNA methylation between contaminated and uncontaminated sites, we found five MS‐AFLP loci (12% of polymorphic MS‐AFLP loci) that were correlated with oil exposure. Overall, our findings support genetically based differentiation correlated with exposure to the oil spill in this system, but also suggest a potential role for epigenetic mechanisms in population differentiation. John Wiley and Sons Inc. 2017-05-12 /pmc/articles/PMC5680422/ /pubmed/29151871 http://dx.doi.org/10.1111/eva.12482 Text en © 2017 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Robertson, Marta Schrey, Aaron Shayter, Ashley Moss, Christina J Richards, Christina Genetic and epigenetic variation in Spartina alterniflora following the Deepwater Horizon oil spill |
title | Genetic and epigenetic variation in Spartina alterniflora following the Deepwater Horizon oil spill |
title_full | Genetic and epigenetic variation in Spartina alterniflora following the Deepwater Horizon oil spill |
title_fullStr | Genetic and epigenetic variation in Spartina alterniflora following the Deepwater Horizon oil spill |
title_full_unstemmed | Genetic and epigenetic variation in Spartina alterniflora following the Deepwater Horizon oil spill |
title_short | Genetic and epigenetic variation in Spartina alterniflora following the Deepwater Horizon oil spill |
title_sort | genetic and epigenetic variation in spartina alterniflora following the deepwater horizon oil spill |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680422/ https://www.ncbi.nlm.nih.gov/pubmed/29151871 http://dx.doi.org/10.1111/eva.12482 |
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