Natural epigenetic polymorphisms lead to intraspecific variation in Arabidopsis gene imprinting
Name
Pignatta-2014-Natural epigenetic p.pdf
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2.28 MB
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Author(s)
Pignatta, Daniela
Erdmann, Robert Michael
Scheer, Elias
Picard, Colette Lafontaine
Bell, George W.
Gehring, Mary
Pignatta, Daniela
Date Issued
July 2014
Journal
eLife
Publisher
eLife Sciences Publications, Ltd.
Citation
Pignatta, Daniela, Robert M Erdmann, Elias Scheer, Colette L Picard, George W Bell, and Mary Gehring. “Natural Epigenetic Polymorphisms Lead to Intraspecific Variation in Arabidopsis Gene Imprinting.” eLife 2014;3:e03198.
Version
Final published version
Abstract
Imprinted gene expression occurs during seed development in plants and is associated with differential DNA methylation of parental alleles, particularly at proximal transposable elements (TEs). Imprinting variability could contribute to observed parent-of-origin effects on seed development. We investigated intraspecific variation in imprinting, coupled with analysis of DNA methylation and small RNAs, among three Arabidopsis strains with diverse seed phenotypes. The majority of imprinted genes were parentally biased in the same manner among all strains. However, we identified several examples of allele-specific imprinting correlated with intraspecific epigenetic variation at a TE. We successfully predicted imprinting in additional strains based on methylation variability. We conclude that there is standing variation in imprinting even in recently diverged genotypes due to intraspecific epiallelic variation. Our data demonstrate that epiallelic variation and genomic imprinting intersect to produce novel gene expression patterns in seeds. - See more at: http://elifesciences.org/content/3/e03198#sthash.B3zTCoEp.dpuf
MIT Department
Massachusetts Institute of Technology. Computational and Systems Biology Program
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. School of Science
Whitehead Institute for Biomedical Research
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.7554/eLife.03198
