A DNA translocase operates by cycling between planarand lock-washer structures
Castillo, J. P.; Tong, A.; Tafoya, S.; Jardine, P. J.; Bustamante, C.
Show abstract
Ring ATPases that translocate disordered polymers possess lock-washer architectures that they impose on their substrates during transport via a hand-over-hand mechanism. Here, we investigate the operation of ring motors that transport substrates possessing a preexisting helical structure, such as the bacteriophage {phi}29 dsDNA packaging motor. During each cycle, this pentameric motor tracks one helix strand (the tracking strand), and alternates between two segregated phases: a dwell in which it exchanges ADP for ATP and a burst in which it packages a full turn of DNA in four steps. We challenge this motor with DNA-RNA hybrids and dsRNA substrates and find that it adapts the size of its burst to the corresponding shorter helical pitches by keeping three of its power strokes invariant while shortening the fourth. Intermittently, the motor loses grip when the tracking strand is RNA, indicating that it makes load-bearing contacts with the substrate that are optimal with dsDNA. The motor possesses weaker grip when ADP-bound at the end of the burst. To rationalize all these observations, we propose a helical inchworm translocation mechanism in which the motor increasingly adopts a lock-washer structure during the ATP loading dwell and successively regains its planar form with each power stroke during the burst.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Strand-switching mechanism of Pif1 helicase induced by its collision with a G-quadruplex embedded in dsDNA 95%
- Local structure of DNA toroids reveals curvature-dependent intermolecular forces 95%
- DNA tension-modulated translocation and loop extrusion by SMC complexes revealed by molecular dynamics simulations 95%
Similar papers in this journal
Similar papers in this journal
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.