Year: 2009
Type: article
Abstract: Loss or gain of DNA methylation can affect gene expression and is sometimes transmitted across generations. Such epigenetic alterations are thus a possible source of heritable phenotypic variation in the absence of DNA sequence change. However, attempts to assess the prevalence of stable epigenetic variation in natural and experimental populations and to quantify its impact on complex traits have been hampered by the confounding effects of DNA sequence polymorphisms. To overcome this problem as much as possible, two parents with little DNA sequence differences, but contrasting DNA methylation profiles, were used to derive a panel of epigenetic Recombinant Inbred Lines (epiRILs) in the reference plant Arabidopsis thaliana. The epiRILs showed variation and high heritability for flowering time and plant height ( approximately 30%), as well as stable inheritance of multiple parental DNA methylation variants (epialleles) over at least eight generations. These findings provide a first rationale to identify epiallelic variants that contribute to heritable variation in complex traits using linkage or association studies. More generally, the demonstration that numerous epialleles across the genome can be stable over many generations in the absence of selection or extensive DNA sequence variation highlights the need to integrate epigenetic information into population genetics studies.
Source: PLoS Genetics
Institutions: Université Paris-Sud, Centre National de la Recherche Scientifique, University of Groningen, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Laboratoire de Physique Théorique et Modèles Statistiques, Institut National de la Recherche Agronomique, Université d'Évry Val-d'Essonne, Génétique Quantitative et Évolution Le Moulon, Institut Jean-Pierre Bourgin, École Normale Supérieure - PSL, Institut de Biologie de l'École Normale Supérieure, Génétique Animale et Biologie Intégrative
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,043
OpenAlex ID: W2141887265
