Back

The histone variant H2A.W cooperates with chromatin modifications and linker histone H1 to maintain transcriptional silencing of transposons in Arabidopsis

Bourguet, P.; Yelagandula, R.; To, T. K.; Osakabe, A.; Alishe, A.; Lu, R. J.-H.; Kakutani, T.; Chen, P.-Y.; Berger, F.

2022-05-31 genomics
10.1101/2022.05.31.493688 bioRxiv
Show abstract

Transposable elements (TEs) are marked by a complex array of chromatin modifications, but a central unifying mechanism for how they are silenced remains elusive. Histone H3 Lysine 9 methylation (H3K9me) is an important component of heterochromatin in most eukaryotes, including plants. In flowering plants, the specialized histone variant H2A.W occupies nucleosomes found at TE sequences. This variant is deposited by the chromatin remodeler DDM1 and confers specific biophysical properties to the nucleosomes. Here we use genetic and genomic strategies to evaluate the role of H2A.W in transposon silencing in Arabidopsis. Compared with mutants lacking either H2A.W or H3K9me, the combined loss of both H2A.W and H3K9me causes a dramatic increase in both the number of expressed TEs and their expression levels. Synergistic effects are also observed when H2A.W is lost in combination with histone H1 or CH methylation. Collectively, these TEs are also upregulated in mutants lacking DDM1, which are impaired in H2A.W deposition and lose heterochromatic marks. We conclude that H2A.W acts in combination with different elements of heterochromatin to maintain silencing across a large spectrum of TEs present primarily in pericentric heterochromatin in Arabidopsis. In mammals, the DDM1 ortholog LSH deposits macroH2A to heterochromatin and silences TEs. We thus propose that specialized H2A variants localized to heterochromatin interact with a complex array of histone modifications to silence TEs in eukaryotes.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.