Letter

Conserved imprinting associated with unique epigenetic signatures in the Arabidopsis genus

  • Nature Plants 2, Article number: 16145 (2016)
  • doi:10.1038/nplants.2016.145
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Abstract

In plants, imprinted gene expression occurs in endosperm seed tissue and is sometimes associated with differential DNA methylation between maternal and paternal alleles1. Imprinting is theorized to have been selected for because of conflict between parental genomes in offspring2, but most studies of imprinting have been conducted in Arabidopsis thaliana, an inbred primarily self-fertilizing species that should have limited parental conflict. We examined embryo and endosperm allele-specific expression and DNA methylation genome-wide in the wild outcrossing species Arabidopsis lyrata. Here we show that the majority of A. lyrata imprinted genes also exhibit parentally biased expression in A. thaliana, suggesting that there is evolutionary conservation in gene imprinting. Surprisingly, we discovered substantial interspecies differences in methylation features associated with paternally expressed imprinted genes (PEGs). Unlike in A. thaliana, the maternal allele of many A. lyrata PEGs was hypermethylated in the CHG context. Increased maternal allele CHG methylation was associated with increased expression bias in favour of the paternal allele. We propose that CHG methylation maintains or reinforces repression of maternal alleles of PEGs. These data suggest that the genes subject to imprinting are largely conserved, but there is flexibility in the epigenetic mechanisms employed between closely related species to maintain monoallelic expression. This supports the idea that imprinting of specific genes is a functional phenomenon, and not simply a byproduct of seed epigenomic reprogramming.

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Acknowledgements

M.G. thanks members of the NESCent working group on Testing Theories of Genomic Imprinting for many stimulating discussions. We thank O. Savolainen for kindly providing A. lyrata Karhumäki seeds, the Whitehead Institute Bioinformatics and Research Computing group for assistance, and P.R. Satyaki and B. Williams for comments on the manuscript. This research was funded by NSF grants MCB 1121952 and 1453459 to M.G. C.L.P. is supported by an NSF graduate research fellowship.

Author information

Author notes

    • Maja Klosinska
    •  & Colette L. Picard

    These authors contributed equally to this work.

Affiliations

  1. Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA

    • Maja Klosinska
    • , Colette L. Picard
    •  & Mary Gehring
  2. Computational and Systems Biology Graduate Program, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA

    • Colette L. Picard
  3. Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA

    • Mary Gehring

Authors

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Contributions

M.G. conceived the project, M.K. performed experiments, C.L.P. developed and implemented computational analyses, M.K., C.L.P. and M.G. analysed data and wrote the paper.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Mary Gehring.

Supplementary information

PDF files

  1. 1.

    Supplementary Information

    Supplementary Methods, Supplementary References, Supplementary Figure 1-10

Excel files

  1. 1.

    Supplementary Table 1

    mRNA-seq samples used in this study

  2. 2.

    Supplementary Table 2

    Read count and FPKM values for all genes in all samples

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    Supplementary Table 3

    Endosperm imprinting statistics for all genes in all pairwise comparisons

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    Supplementary Table 4

    Endosperm MEGs and PEGs and overlap with DMRs and Tes

  5. 5.

    Supplementary Table 5

    Bisulfite-seq samples used in this study and overall methylation data

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    Supplementary Table 6

    Features of DMRs and overlap with genes and TEs

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    Supplementary Table 7

    Homozygous SNPs identified between Kar and MN47

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    Supplementary Table 8

    Primers used in this study