SPO11 dimerization controls meiotic DNA double-strand break formation
Oger, C. A.; Claeys Bouuaert, C.
Show abstract
SPO11 initiates meiotic recombination through the induction of programmed DNA double-strand breaks (DSBs), but this catalytic activity had never been reconstituted in vitro. Here, using Mus musculus SPO11, we report a biochemical system that recapitulates all the hallmarks of meiotic DSB formation. We show that SPO11 catalyzes break formation in the absence of any partners and remains covalently attached to the 5' broken strands. We find that target site selection by SPO11 is influenced by the sequence, bendability and topology of the DNA substrate, and provide evidence that SPO11 can reseal single-strand DNA breaks. In addition, we show that SPO11 is monomeric in solution and that cleavage requires dimerization to reconstitute two hybrid active sites. SPO11 and its partner TOP6BL form a 1:1 complex that catalyzes DNA cleavage with a similar activity to SPO11 alone. However, the complex binds DNA ends with higher affinity, suggesting a potential role post-cleavage. We propose a model where additional partners of SPO11 required for DSB formation in vivo assemble biomolecular condensates that recruit SPO11-TOP6BL, enabling dimerization and cleavage. Our work establishes SPO11 dimerization as the fundamental mechanism that controls the induction of meiotic DSBs.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Single-molecule imaging reveals a direct role of CTCF's zinc fingers in SA interaction and cluster-dependent RNA recruitment 97%
- Target DNA-dependent activation mechanism of the prokaryotic immune system SPARTA 96%
- Dynamic ParB-DNA interactions initiate and maintain a partition condensate for bacterial chromosome segregation 96%
Similar papers in this journal
"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.