bioRxivBiophysicsPreprint
An exploratory in silico study of the effect of a homogeneous static magnetic field on membrane dynamics and the CNGC6 ion channel of Solanum lycopersicum L.
Abstract
Magnetic treatment in tomato seeds (Solanum lycopersicum L.) has been studied as a biotechnological technique to induce a reduction in germination times and enhance plant development. However, the modified cellular mechanisms involved in the reduction of germination times or the improvement of development parameters are not yet clearly established. To explore a possible altered cellular mechanism, the effect of homogeneous static magnetic fields on the structure of the cyclic nucleotide-gated channel 6 (CNGC6), the modification in the organization of POPC lipids in the plasma membrane, and changes in calcium ion mobility were evaluated. For this purpose, coarse-grained molecular dynamics simulations were performed using the Martini 3 model in GROMACS, applying five different magnetic flux densities (0.000, 0.001, 0.010, 0.100, 1.000, and 10.000) T over 1 000 ns. The results showed an anisotropic effect in the longitudinal direction of the protein, which generated heterogeneous behavior among the chains of the homotetramer; this altered the conformation of the CNGC6 channel and modified the pore bottleneck. In contrast, no significant changes were observed in the conformational order of the POPC phospholipid chains. As a preliminary, single-replicate exploratory study, these results suggest that homogeneous static magnetic fields may induce specific structural modifications in the CNGC6 ion channel of Solanum lycopersicum L. without compromising the integrity of the lipid bilayer or the dynamics of ion transport within the analyzed timescale; these preliminary findings provide a molecular-level structural basis for future experimental and computational investigations of magnetic field effects on plant cyclic nucleotide-gated channels.
- organism: plant (other)
- assay: proteomics
- research focus: protein folding & dynamics
- approach: mechanistic / dynamical model
- Citations
- 0
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