A cooperative switch within the KaiC hexamer revealed by cryo-EM
Han, X.; Zhang, D.; Hong, L.; Yu, D.; Wu, Z.; Yang, T.; Rust, M.; Tu, Y.; Ouyang, Q.
Show abstract
The circadian clock of cyanobacteria is based on an approximately 24h rhythm in the phosphorylation level of KaiC, a hexameric ATPase. This oscillation can be reconstituted in vitro by incubating three proteins together with ATP. Like all chemical oscillators, this system must include a nonlinear, or switch-like, feedback loop, whose nature has been unclear. Here, by using single particle cryo-EM at near-atomic resolution we identified two major conformational states of KaiC subunits, denoted as the exposed state and the buried state, which may provide a structural basis of how the KaiC hexamer changes its conformation during the (day-night) phosphorylation-dephosphorylation cycle. We classify the abundance and pattern of exposed and buried states within hexamers for more than 160,000 KaiC particles. The statistics of the spatial arrangement of the two states in hexamers can be quantitatively fit by a simple statistical physics model with an interaction energy between neighboring subunits and a local field that depends on phosphorylation state. Our study shows that phosphorylation shifts the probability of each conformation and reveals that there is substantial cooperativity between neighboring subunits, which can allow a KaiC hexamer to respond in an ultrasensitive, switch-like manner to changes in the phosphorylation level.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Structure of Dunaliella Photosystem II reveals conformational flexibility of stacked and unstacked supercomplexes 96%
- Computational modelling identifies key determinants of subregion-specific dopamine dynamics in the striatum 96%
- High-resolution structures map the metal import pathway in an Nramp transporter 96%
"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.