Back

SAD-6/ATRX enables broad genome surveillance and defense in fungi

Carlier, F.; Klimova, A.; Bouscasse, E.; Wang, Z.; Loiodice, I.; Taddei, A.; Kronholm, I.; Dunlap, J. C.; Matondo, M.; Gladyshev, E.

2026-08-11 molecular biology
10.64898/2026.08.11.744009 bioRxiv
Show abstract

The chromatin remodeler ATRX and its orthologs maintain genome function by regulating repetitive DNA and dynamic chromatin, and their activities have been canonically associated with replication-independent deposition of the histone H3.3 variant. This model is difficult to reconcile with fungi, which encode ATRX orthologs but lack H3 variants that may separately support replication-coupled and replication-independent deposition. Here we show that the fungal ATRX ortholog SAD-6 instead relies on a highly divergent histone H4 variant (H4v) to mediate broad genome surveillance and defense. Deposition of H4v is strictly SAD-6-dependent and thus provides a sensitive genome-wide readout of SAD-6 activity, revealing its functions at telomeres, tRNA and rDNA loci, AT-rich DNA, artificial transgenes, decaying mobile elements, and many genic regions. We further show that SAD-6 is required for a pathway of repeat-induced point mutation (RIP) that also requires DIM-5, a conserved SUV39 methyltransferase that mediates trimethylation of histone H3 lysine-9 in heterochromatin. Together, these findings establish ATRX-like remodelers as broad regulators of genome surveillance and defense in fungi that act through a highly divergent histone H4 variant rather than H3.3. Given that RIP is proposed to recognize repetitive DNA via recombination-independent homologous pairing, the requirement for SAD-6 in RIP suggests that ATRX-like remodelers may couple DNA pairing to heterochromatin nucleation on repeats.

Matching journals

The top 5 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.