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Genet-specific DNA methylation probabilities detected in a spatial epigenetic analysis of a clonal plant population
In sessile organisms such as plants, spatial genetic structures of populations show long-lasting patterns. These structures have been analyzed across diverse taxa to understand the processes that determine the genetic makeup of organismal populations. For many sessile organisms that mainly propagate...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439711/ https://www.ncbi.nlm.nih.gov/pubmed/28542457 http://dx.doi.org/10.1371/journal.pone.0178145 |
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author | Araki, Kiwako S. Kubo, Takuya Kudoh, Hiroshi |
author_facet | Araki, Kiwako S. Kubo, Takuya Kudoh, Hiroshi |
author_sort | Araki, Kiwako S. |
collection | PubMed |
description | In sessile organisms such as plants, spatial genetic structures of populations show long-lasting patterns. These structures have been analyzed across diverse taxa to understand the processes that determine the genetic makeup of organismal populations. For many sessile organisms that mainly propagate via clonal spread, epigenetic status can vary between clonal individuals in the absence of genetic changes. However, fewer previous studies have explored the epigenetic properties in comparison to the genetic properties of natural plant populations. Here, we report the simultaneous evaluation of the spatial structure of genetic and epigenetic variation in a natural population of the clonal plant Cardamine leucantha. We applied a hierarchical Bayesian model to evaluate the effects of membership of a genet (a group of individuals clonally derived from a single seed) and vegetation cover on the epigenetic variation between ramets (clonal plants that are physiologically independent individuals). We sampled 332 ramets in a 20 m × 20 m study plot that contained 137 genets (identified using eight SSR markers). We detected epigenetic variation in DNA methylation at 24 methylation-sensitive amplified fragment length polymorphism (MS-AFLP) loci. There were significant genet effects at all 24 MS-AFLP loci in the distribution of subepiloci. Vegetation cover had no statistically significant effect on variation in the majority of MS-AFLP loci. The spatial aggregation of epigenetic variation is therefore largely explained by the aggregation of ramets that belong to the same genets. By applying hierarchical Bayesian analyses, we successfully identified a number of genet-specific changes in epigenetic status within a natural plant population in a complex context, where genotypes and environmental factors are unevenly distributed. This finding suggests that it requires further studies on the spatial epigenetic structure of natural populations of diverse organisms, particularly for sessile clonal species. |
format | Online Article Text |
id | pubmed-5439711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54397112017-06-06 Genet-specific DNA methylation probabilities detected in a spatial epigenetic analysis of a clonal plant population Araki, Kiwako S. Kubo, Takuya Kudoh, Hiroshi PLoS One Research Article In sessile organisms such as plants, spatial genetic structures of populations show long-lasting patterns. These structures have been analyzed across diverse taxa to understand the processes that determine the genetic makeup of organismal populations. For many sessile organisms that mainly propagate via clonal spread, epigenetic status can vary between clonal individuals in the absence of genetic changes. However, fewer previous studies have explored the epigenetic properties in comparison to the genetic properties of natural plant populations. Here, we report the simultaneous evaluation of the spatial structure of genetic and epigenetic variation in a natural population of the clonal plant Cardamine leucantha. We applied a hierarchical Bayesian model to evaluate the effects of membership of a genet (a group of individuals clonally derived from a single seed) and vegetation cover on the epigenetic variation between ramets (clonal plants that are physiologically independent individuals). We sampled 332 ramets in a 20 m × 20 m study plot that contained 137 genets (identified using eight SSR markers). We detected epigenetic variation in DNA methylation at 24 methylation-sensitive amplified fragment length polymorphism (MS-AFLP) loci. There were significant genet effects at all 24 MS-AFLP loci in the distribution of subepiloci. Vegetation cover had no statistically significant effect on variation in the majority of MS-AFLP loci. The spatial aggregation of epigenetic variation is therefore largely explained by the aggregation of ramets that belong to the same genets. By applying hierarchical Bayesian analyses, we successfully identified a number of genet-specific changes in epigenetic status within a natural plant population in a complex context, where genotypes and environmental factors are unevenly distributed. This finding suggests that it requires further studies on the spatial epigenetic structure of natural populations of diverse organisms, particularly for sessile clonal species. Public Library of Science 2017-05-22 /pmc/articles/PMC5439711/ /pubmed/28542457 http://dx.doi.org/10.1371/journal.pone.0178145 Text en © 2017 Araki et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Araki, Kiwako S. Kubo, Takuya Kudoh, Hiroshi Genet-specific DNA methylation probabilities detected in a spatial epigenetic analysis of a clonal plant population |
title | Genet-specific DNA methylation probabilities detected in a spatial epigenetic analysis of a clonal plant population |
title_full | Genet-specific DNA methylation probabilities detected in a spatial epigenetic analysis of a clonal plant population |
title_fullStr | Genet-specific DNA methylation probabilities detected in a spatial epigenetic analysis of a clonal plant population |
title_full_unstemmed | Genet-specific DNA methylation probabilities detected in a spatial epigenetic analysis of a clonal plant population |
title_short | Genet-specific DNA methylation probabilities detected in a spatial epigenetic analysis of a clonal plant population |
title_sort | genet-specific dna methylation probabilities detected in a spatial epigenetic analysis of a clonal plant population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439711/ https://www.ncbi.nlm.nih.gov/pubmed/28542457 http://dx.doi.org/10.1371/journal.pone.0178145 |
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