Sign in
Plant BiologyBiophysical Journal
Peer-reviewed journal article

Mechanistic Basis for Enhanced Strigolactone Sensitivity in KAI2 Triple Mutant

B. L. Sobecks, J. Chen, T. J. Dean, D. Shukla

Abstract

Striga hermonthica is a parasitic weed that destroys billions of dollars worth of staple crops every year. Its rapid proliferation stems from an enhanced ability to me-tabolize strigolactones (SLs), plant hormones that direct root branching and shoot growth. Strigas SL receptor, ShHTL7, bears more similarity to the staple crop kar-rikin receptor KAI2 than to SL receptor D14, though KAI2 variants in plants like Arabidopsis thaliana show minimal SL sensitivity. Recently, studies have indicated that a small number of point mutations to HTL7 residues can confer SL sensitivity to At KAI2. Here, we analyze both wild-type At KAI2 and SL-sensitive mutant Var64 through all-atom, long-timescale molecular dynamics simulations to determine the ef-fects of these mutations on receptor function at a molecular level. We demonstrate that the mutations stabilize SL binding by about 2 kcal/mol. They also result in a doubling of the average pocket volume, and eliminate the dependence of binding on certain pocket conformational arrangements. While the probability of certain non-binding SL-receptor interactions increases in the mutant compared with the wild-type, the rate of binding also increases by a factor of ten. All these changes account for the increased SL sensitivity in mutant KAI2, and suggest mechanisms for increasing functionality of host crop SL receptors.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISChen '22Chen '22Chen '20Sobecks '21Chen '22Bythell-Dou '17
77% semantic matchPlant Biology
J. Chen, D. C. Nelson, D. Shukla·Journal of Chemical Information and Modeling·Feb 22, 2022