Results

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Our goal this year was to establish a preventative, sustainable, and efficacious biocontrol strategy for pepper foot rot. This process involved the integration of multiple components that are individually effective into a system that is superior to current methods of treatment. Furthermore, every element of this system has been tested extensively against the pathogen, P. capsici, to ensure it performs its respective functions. By demonstrating the effectiveness of this particular system and the siRNA design pipeline and model, we hope to make it easier for future researchers to implement similar systems for the many infections that plague the agricultural economy.

Designing the siRNA

After a thorough review process for identifying effective gene targets in P. capsici and an assessment of the off-target effects, secondary structures, and stability of the siRNA-mRNA duplex, we identified a set of viable candidates, two of which were to be used for the experimentation process (Figure 1). We ensured these sequences adhered to standards such as the Ui-Tei, Reynolds, and Amarzguioui design rules.

Duplexfold result for siRNA Candidate 1 Maxexpect result for siRNA Candidate 1 Duplexfold result for siRNA Candidate 2 Maxexpect result for siRNA Candidate 2
Fig 1. DuplexFold and MaxExpect results for siRNA candidates 1 and 2, respectively

DuplexFold: Predicts how well the siRNA guide strand binds to its target mRNA. The figure shows a stable helix with strong base pairing and low free energy value, indicating a stable interaction– an essential factor for effective silencing. This result also tells us that the siRNA duplex itself is structurally stable.

MaxExpect: Predicts the target mRNA’s most likely secondary structure. The paired sections and loops demonstrate the accessibility of bases for siRNA binding. Decreased free energy values indicate a steady and realistic folding pattern.

P. capsici Growth Measurements in Potato Dextrose Agar and Carrot Agar

To ensure that the cultures used for our experiments are grown under ideal conditions, a comparison was drawn between potato dextrose agar (PDA) and carrot agar (Figures 3 and 2). We observed that a steady and quick increase in growth was observed in carrot agar in comparison to PDA (Chemeltorit et al., 2017). It took 4-5 days for the fungal mat to cover the plate with an ideal growth pattern.

Fig 2. Colony Diameter Measurement for P. capsici on PDA
Fig 2. Colony Diameter Measurement for P. capsici on PDA vs Carrot Agar
Fig 3. Colony Diameter Measurement for P. capsici on Carrot Agar Fig 3. Colony Diameter Measurement for P. capsici on Carrot Agar
Fig 3. P. capsici on Carrot Agar and PDA at 48hrs

Lactophenol Blue Staining

Lactophenol blue staining allowed us to get a closer look at the morphology of Phytophthora capsici. Singular hyphae were observed under 40x magnification (Figure 4).

P. capsici in carrot agar after 48 hours
Fig 4. P. capsici hyphae observed

Chitosan Nanoparticle Production

After designing the siRNA that performs the gene silencing, we aimed to produce and optimize the characteristics of our delivery system - the chitosan nanoparticles, focusing mainly on their size, zeta potential, and polydispersity. Many iterations of this process were carried out, varying parameters such as chitosan and acetic acide concentrations, TPP to chitosan ratios, and homogenization until we obtained the ideal carrier for our siRNA.

By the end of this process, we were able to obtain an ideal combination of parameters for our nanoparticles. The zeta potential was observed to be 89 mV, with the size being 130 nm, along with a polydispersity index of 0.516 (Figures 7 and 8).

More details on the effect of parameters on nanoparticle characteristics are discussed in the measurement page.

Fig 5. P. capsici hyphae observed
Fig 5. Size distribution for optimized nanoparticles
Fig 6. Size distribution for optimized nanoparticles
Fig 6. Zeta potential distribution for optimized nanoparticles

The Nanoformulation

The nanoformulation is the culmination of these components into one robust system. It integrates the specificity of the siRNA with the enhanced stability, uptake, and antifungal activity provided by the nanoparticle.

We produced our nanoformulation following the ionic gelation protocol optimized thus far, and analyzed the parameters using a Particle Size Analyzer. We were able to obtain a complex with a zeta potential of 35.8 mV, having a size of 401.7 nm with a 0.509 polydispersity index (Figures 7 and 8). Based on these close to ideal parameters, we were able to gauge that the nanoformulation could effectively be implemented for gene silencing.

Fig 10. Size distribution for siRNA nanoformulation
Fig 7. Size distribution for siRNA nanoformulation
Fig 11. Zeta potential distribution for siRNA nanoformulation
Fig 8. Zeta potential distribution for siRNA nanoformulation

Detached Leaf Assay

To understand the first-hand effect of our system and its individual components on P. capsici, we conducted a series of assays involving P. nigrum leaves (of Panniyur-1 variety). Mature leaves that were sprayed with the nanoparticle, naked siRNA, and nanoformulation were inoculated with a mycelial plug of P. capsici. We established a series of controls, such as untreated leaves and leaves sprayed with water and acetic acid, to gauge the difference in lesions.

We first observed that the lesion growth was significantly reduced in the case of the chitosan nanoparticle (Figure 9). The same was true for the nanoformulation we produced. Moreover, on applying 10 μL of naked siRNA (of 100 nM and 1 μM concentration) and placing a mycelial plug on the leaf 3 days later, we found that there was no lesion at all in the case of 1 μM siRNA compared to the controls, indicating a complete stoppage of infection (Figure 10).

This prophylactic treatment is akin to how our solution will be implemented in pepper fields. The result visually shows the measurable decrease in infection, and also proves that each component is successfully performing its function in curbing the infection.

Table 1. Details of the chitosan nanoparticle and nanoformulation solutions as used in the graphs
Name Date prepared Polydispersivity Index Hydrodynamic Radius Zeta Potential
Nanoparticle 1 4th September 0.454 95.1 nm 169.0 mV
Nanoparticle 2 6th September 0.488 267.5 nm 184.5 mV
Nanoparticle 3 10th September 0.516 130.1 nm 89.0 mV
Nanoformulation 1 27th September 2.318 6410.3 nm -4.0 mV
Nanoformulation 2 29th September 0.509 401.7 nm 35.8 mV
Fig 9. Detached leaf assay: Effect of nanoparticle 1 and other controls
Fig 9. Detached leaf assay: Effect of nanoparticle 1 and other controls
Fig 10. 1-way ANOVA test on the effect of nanoparticle 1 among other controls at 72 hours
Fig 10. 1-way ANOVA test on the effect of nanoparticle 1 among other controls at 72 hrs
Fig 11.  Detached leaf assay: Effect of Prophylactic and Therapeutic treatment with other controls
Fig 11. Detached leaf assay: Effect of Prophylactic and Therapeutic treatment with other controls
Fig 12. 1-way ANOVA test on the effect of Prophylactic 1 μM siRNA among other controls at 72 hrs
Fig 12. 1-way ANOVA test on the effect of Prophylactic 1 μM siRNA among other controls at 72 hrs
Fig 13.  Detached leaf assay: Effect of Nanoformulation among other controls
Fig 13. Detached leaf assay: Effect of Nanoformulation among other controls
Fig 14. 1-way ANOVA test on the effect of Nanoformulation 2 among other controls at 72 hrs
Fig 14. 1-way ANOVA test on the effect of Nanoformulation 2 among other controls at 72 hrs

Evaluating the Cytotoxicity of siRNA

To establish the safe concentration range of the siRNA, and ensure that the reduction in infection is due to the intended mechanism (and not due to toxicity from the siRNA itself), a cytotoxicity assay was carried out wherein 10 μL of bZIP1 target gene’s siRNA (at concentrations 1.5 nM, 50 nM, 100 nM, 1 μM and 100 μM) was applied on P. nigrum leaves to observe any unintended effects. No such effect was observed over a duration of 3 days.

SEM Analysis

SEM analysis provided us with key insights into the morphology and size of our nanoparticles and nanoformulations. At magnifications higher than 100000x, the chitosan nanoparticles and nanoformulation appeared as spherical beads in clusters (Figures 17, 20, and 24). Variations in size and shape were observed between the samples, due to the time period between their production and characterization.

Fig 15. Chitosan nanoparticles visualized at 10,000x magnification.
Fig 15. Chitosan nanoparticles visualized at 10,000x magnification.
Fig 16. Chitosan nanoparticles visualized at 250,000x magnification.
Fig 16. Chitosan nanoparticles visualized at 250,000x magnification.
Fig 17. Chitosan nanoparticles visualized at 350,000x magnification.
Fig 17. Chitosan nanoparticles visualized at 350,000x magnification.
Fig 18. Nanoformulation (prepared on 27th September) visualized at 5000x magnification.
Fig 18. Nanoformulation (prepared on 27th September) visualized at 5000x magnification.
Fig 19. Nanoformulation (prepared on 27th September) visualized at 200,000x magnification.
Fig 19. Nanoformulation (prepared on 27th September) visualized at 200,000x magnification.
Fig 20. Nanoformulation (prepared on 27th September) visualized at 250,000x magnification.
Fig 20. Nanoformulation (prepared on 27th September) visualized at 250,000x magnification.
Fig 21. Nanoformulation (prepared on 29th September) visualized at 6500x magnification.
Fig 21. Nanoformulation (prepared on 29th September) visualized at 6500x magnification.
Fig 22. Nanoformulation (prepared on 29th September) visualized at 100000x magnification.
Fig 22. Nanoformulation (prepared on 29th September) visualized at 100000x magnification.
Fig 23. Nanoformulation (prepared on 29th September) visualized at 150000x magnification
Fig 23. Nanoformulation (prepared on 29th September) visualized at 150000x magnification
Fig 24. Nanoformulation (prepared on 29th September) visualized at 350000x magnification
Fig 24. Nanoformulation (prepared on 29th September) visualized at 350000x magnification

Entrapment Efficiency

The calculation of entrapment efficiency gives the percentage of siRNA successfully encapsulated within the nanoparticles. A high encapsulation efficiency is imperative to the effective release of siRNA within P.capsici, and to also confer stability to the complex in the soil environment.

The encapsulation efficiency was calculated using the formula:

Entrapment Efficiency (%) = × 100

Csample (20.778 μg/mL) was the concentration of siRNA added, and Csupernatant (2.2 μg/mL) was the siRNA concentration in the supernatant.

The entrapment efficiency was found to be 89.41%, indicating a high percentage of siRNA encapsulation.

Gel Retardation Assay

A gel retardation assay was performed to visualize the encapsulation of the siRNA within the nanoparticle (Katas et al., 2006).

We ran our samples on a 4% agarose gel for 2 hours. Positive (RNase-treated nanoformulation, nanoparticle) and negative (free siRNA) controls were established. The ladder used was a 1kb DNA ladder from GeneDireX.

Upon visualization of the gel under a UV transilluminator it was observed that the 100 nM siRNA was observed as a faint band due to its low concentration. No bands were observed for the nanoformulation, nanoformulation treated with RNase and the chitosan nanoparticle. Successful encapsulation was indicated by the entrapment of the siRNA in the well.

Fig 12. Visualization of the gel under a UV transilluminator
Fig 25. Visualization of the gel under a UV transilluminator

P. capsici Sporulation

Effective silencing of the bZIP gene within P. capsici zoospores causes a reduction in zoospore motility (Blanco & Judelson, 2005).

To visualize this confirmatory effect, zoospores were isolated from P. capsici cultures and treated with the following:

  • 1% acetic acid
  • Chitosan nanoparticle solution
  • 7.23 µM siRNA (total siRNA in the sample was 40 ng/ml) (Cheng et al., 2022)
  • 100 µM siRNA
  • Nanoformulation (prepared on 29th September)

The samples were incubated for 30 minutes and visualized at 100x magnification using an Olympus CX-43 upright trinocular phase contrast microscope.

Vid 1. Zoospores visualized at 100x without any treatment
Vid 2. Zoospores visualized at 100x with treatment of 1% acetic acid
Vid 3. Zoospores visualized at 100x with treatment of chitosan nanoparticle solution
Vid 4. Zoospores visualized at 100x with treatment of 7.23 µM siRNA
Vid 5. Zoospores visualized at 100x with treatment of 100 µM siRNA
Vid 6. Zoospores visualized at 100x with treatment of nanoformulation solution

Motile zoospores were observed in the untreated, 1% acetic acid, and nanoparticle-treated samples. Zoospore samples treated with 7.23 µM siRNA, 100 µM siRNA, and the nanoformulation showed total reduction in zoospore motility.

The observed effect over zoopore motility confirmed gene silencing by the siRNA and nanoformulation.

Fluorescence Microscopy

To further visualize the uptake of siRNA within P. capsici zoospores, the siRNA was tagged with 6-FAM, a fluorescent dye. The absorption and emission wavelengths are 495 nm and 517 nm, respectively.

Zoospore samples were incubated with naked siRNA and the nanoformulation for 90 minutes, following which they were visualized using an Olympus IX 73 Fluorescent Microscope at 40x, 60x, and 100x.

Fluorescent structures were clearly visible at 100x magnification, which were comparable to the zoospores observed through phase contrast microscopy. This indicated successful internalization of the siRNA within the zoospores, as well their intended release from the nanoparticle complex.

Fig 26. Left - P. capsici zoospores visualized at 100x magnification using phase contrast microscopy 
    Right - Internalization of the 6-FAM tagged siRNA within P. capsici zoospores, visualized using fluorescence microscopy 
Fig 26. Left - P. capsici zoospores visualized at 100x magnification using phase contrast microscopy 
    Right - Internalization of the 6-FAM tagged siRNA within P. capsici zoospores, visualized using fluorescence microscopy
Fig 26. Left - P. capsici zoospores visualized at 100x magnification using phase contrast microscopy Right - Internalization of the 6-FAM tagged siRNA within P. capsici zoospores, visualized using fluorescence microscopy

The Software Model

Our software model works as a screening tool that evaluates the binding between an siRNA sequence and the chosen nanoparticle.

The XGBoost outperformed Lasso and Random Forest by RMSE of 33.30 and an R² value of 0.7459, explaining approximately 75% of the variance in the docking scores. The model extracted 217 features based on the nucleotide sequence, such as position, GC Content and etc, allowed to be attributed when a new sequence is inputted. The model resulted in generating docking scores for the new sequences that had a maximum error of ± 40.

Table 2. The error calculation with the docking scores performed through HDOCK and the predicted scores of our model
Seq. No. Sequence (Both 5' → 3') Docking Score for Chitosan Docking Score for Lipid Error Calc for Chitosan Error Calc for Lipid
1. GGUACUACAACUAGUGUGACU

UCACACUAGUUGUAGUACCAG
-215.51 -114.75 +36 -20
2. CAGAGCUGAAGGAUAUGAAGA

UUCAUAUCCUUCAGCUCUGUG
-246.64 -137.74 +11 -4
3. GGAGACAGCGACAAGUUGUCG

ACAACUUGUCGCUGUCUCCAA
-215.24 -106.34 +39 -31
4. CCCGAGUGCGGUUUCACUAGG

UAGUGAAACCGCACUCGGGUG
-292.31 -158.95 -38 +21
5. GGGAGAGACUGGUGAUGAAGG

UUCAUCACCAGUCUCUCCCCC
-281.82 -151.31 -27 +14
Fig 13. Software output
Fig 27. Predicted Scores using our model

References

Blanco, F. A., & Judelson, H. S. (2005). A bZIP transcription factor from Phytophthora interacts with a protein kinase and is required for zoospore motility and plant infection. Molecular Microbiology, 56(3), 638–648. https://doi.org/10.1111/j.1365-2958.2005.04575.x

Chemeltorit, P.P., Mutaqin, K.H. & Widodo, W. Combining Trichoderma hamatum THSW13 and Pseudomonas aeruginosa BJ10–86: a synergistic chili pepper seed treatment for Phytophthora capsici infested soil. Eur J Plant Pathol 147, 157–166 (2017). https://doi.org/10.1007/s10658-016-0988-5

Cheng, W., Lin, M., Chu, M., Xiang, G., Guo, J., Jiang, Y., Guan, D., & He, S. (2022). RNAi-Based Gene Silencing of RXLR Effectors Protects Plants Against the Oomycete Pathogen Phytophthora capsici. Molecular Plant-Microbe Interactions, 35(6), 440–449. https://doi.org/10.1094/mpmi-12-21-0295-r

Katas, H., & Alpar, H. O. (2006). Development and characterisation of chitosan nanoparticles for siRNA delivery. Journal of Controlled Release, 115(2), 216–225. https://doi.org/10.1016/j.jconrel.2006.07.021