Back

Domains Required for FRQ-WCC Interaction within the Core Circadian Clock of Neurospora

Wang, B.; Dunlap, J. C.

2023-02-26 biochemistry
10.1101/2023.02.25.530043 bioRxiv
Show abstract

In the negative feedback loop composing the Neurospora circadian clock, the core element, FREQUENCY (FRQ) binds with FRH (FRQ-interacting RNA helicase) and Casein Kinase 1 (CK1) to form the FRQ-FRH complex (FFC) which represses its own expression by interacting with and promoting phosphorylation of its transcriptional activators White Collar-1 (WC-1) and WC-2 (together forming the White Collar Complex, WCC). Physical interaction between FFC and WCC is a prerequisite for the repressive phosphorylations, and although the motif on WCC needed for this interaction is known, the reciprocal recognition motif(s) on FRQ remains poorly defined. To address this, FFC-WCC was assessed in a series of frq segmental-deletion mutants, confirming that multiple dispersed regions on FRQ are necessary for its interaction with WCC. Biochemical analysis shows that interaction between FFC and WCC but not within FFC or WCC can be disrupted by high salt, suggesting that electrostatic forces drive the association of the two complexes. As a basic sequence on WC-1 was previously identified as a key motif for WCC-FFC assembly, our mutagenetic analysis targeted negatively charged residues of FRQ leading to identification of three Asp/Glu clusters in FRQ that are indispensable for FFC-WCC formation. Surprisingly, in several frq Asp/Glu-to-Ala mutants that vastly diminish FFC-WCC interaction, the core clock still oscillates robustly with an essentially WT period, indicating that the binding strength between the positive and negative elements in the feedback loop is required for the clock but is not a determinant of the period length.

Matching journals

The top 4 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.