Humidity is probably the most important abiotic factor influencing life cycles, distribution, survival, and population dynamics of stored product pests. Although most of these pests can complete their life cycles in any given relative humidity, their prolonged development time, as well as decreased emergence rate and fecundity, have been well documented in several previous studies. In the present study, we evaluated the changes in energetic substances (lipids, soluble carbohydrates, glycogen, and proteins) accumulated in different life stages of larvae and adults of Tribolium castaneum in response to different relative humidity levels (5, 12, 22, 30, 45, and 65%). The results showed that young larvae were more susceptible to low relative humidity levels and desiccation stress. Larvae tended to accumulate higher proportions of lipids during earlier stages while their energy content shifted towards proteins with an increase in their age. Adult beetles experienced a significant decrease in their protein content immediately after they initiated reproduction. The importance of these fluctuations in the biology of the red flour beetles was discussed in detail.
The N-terminal domain of the ice-nucleation protein InaV (InaV-N) of Pseudomonas syringae was applied to display the DFPase on the cell surface. In silico techniques were used to generate a model in order to examine the possibility of DFPase exhibition on the cell surface. The secondary and tertiary structures of a chimeric protein were determined and then, the predicted model was subjected to several repeated cycles of stereochemical evaluation and energy minimization. The homology-modeled structure of the InaV/N-DFPase protein was docked to DFP. The optimized inaV/N-dfpase gene was translated to 519 amino acids. The minimum free energy of the best-predicted secondary structures was formed by RNA molecules (-215.45 kcal/mol). SOPMA analysis results showed that the main helix peak corresponded to the anchor fragment. Validation of the 3D model indicated that 86.1% of amino acid residues were incorporated into the favored regions. The moldock score was 360.22 for DFP. Results of this study indicated that according to in silico analysis, all of these findings were effective in targeting DFPase.
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