Antibacterial and Sporicidal Activity Evaluation of Theaflavin-3,3′-digallate

Theaflavin-3,3′-digallate (TFDG), a polyphenol derived from the leaves of Camellia sinensis, is known to have many health benefits. In this study, the antibacterial effect of TFDG against nine bacteria and the sporicidal activities on spore-forming Bacillus spp. have been investigated. Microplate assay, colony-forming unit, BacTiter-GloTM, and Live/Dead Assays showed that 250 µg/mL TFDG was able to inhibit bacterial growth up to 99.97%, while 625 µg/mL TFDG was able to inhibit up to 99.92% of the spores from germinating after a one-hour treatment. Binding analysis revealed the favorable binding affinity of two germination-associated proteins, GPR and Lgt (GerF), to TFDG, ranging from −7.6 to −10.3 kcal/mol. Semi-quantitative RT-PCR showed that TFDG treatment lowered the expression of gpr, ranging from 0.20 to 0.39 compared to the control in both Bacillus spp. The results suggest that TFDG not only inhibits the growth of vegetative cells but also prevents the germination of bacterial spores. This report indicates that TFDG is a promising broad-spectrum antibacterial and anti-spore agent against Gram-positive, Gram-negative, acid-fast bacteria, and endospores. The potential anti-germination mechanism has also been elucidated.


Introduction
Many medical and scientific journal articles have documented the rising number of antibiotic-resistant bacteria and the multidrug resistance crisis linked to the overuse or abuse of antibiotics [1]. Vancomycin, for example, was first introduced to clinical practice in 1972, and unfortunately, vancomycin-resistant S. aureus (VRSA) was reported in 1979 [2]. In the United States, approximately 2.8 million people are infected with antibiotic-resistant bacteria yearly, and at least 35,000 die from the infection [3]. The problem of antibiotic resistance imposes a significant financial burden as evidenced by the number of methicillinresistant Staphylococcus aureus (MRSA)-related issues that cost the US healthcare system around $3-4 billion annually [4].
The aromatic allure, taste, and health benefits of tea make it one of the most popular beverages worldwide [5]. Both black and green tea are derived from the leaves of Camellia sinensis but differ in the level of oxidation due to fermentation [5,6]. Black tea contains a lower level of catechins than green tea but makes up for it with a higher amount of theaflavin [6]. The major theaflavins present in black tea include theaflavin (TF), theaflavin-3-gallate (TF3G), theaflavin-3 -gallate (TF3 G), and theaflavin-3,3 -digallate (TFDG) [6].
Theaflavins (TFs) are the major polyphenols in black tea, showing great potential as an antimicrobial agent. A previous study demonstrated that 1 g of theaflavin mixture extract could contain up to 32.80% of TFDG [7]. As for cellular toxicity, theaflavin has little to no effect on human lung fibroblast tissue, CEM cells, A549, and Vero cells [8]. Compared to epigallocatechin gallate (EGCG), major catechin extracted from green tea, TF is more stable under non-favorable conditions, making it a better candidate for antimicrobial antimicrobial agent that can inhibit the growth of nine bacteria across Gram-positive, Gramnegative, and acid-fast groups and an antispore agent. The anti-germination mechanism of TFDG against two Bacillus spp. is also proposed. Both 2D and 3D structures of TFDG are displayed in Figure 1. The 3D structure is used for molecular docking analysis. activities of green tea polyphenols or a mixture of theaflavins against one or a few species. On the other hand, our results demonstrate that TFDG could potentially serve as a broadspectrum antimicrobial agent that can inhibit the growth of nine bacteria across Grampositive, Gram-negative, and acid-fast groups and an antispore agent. The antigermination mechanism of TFDG against two Bacillus spp. is also proposed. Both 2D and 3D structures of TFDG are displayed in Figure 1. The 3D structure is used for molecular docking analysis.

Determination of MIC and Half-Maximal Inhibitory Concentration (IC50)
No bacterial growth was observed when treated with 250 µg/mL or higher TFDG, so the MIC was determined as 250 µg/mL. The IC50 for all bacteria is around 62.5 µg/mL. As for erythromycin, the IC50 ranged from 7 to 26 µg/mL, and the MIC should be greater than 45 µg/mL for the bacteria tested in this study (Supplementary Figures S1-S3).

Colony Forming Unit (CFU) Assay
Based on the microplate assay result, the effect of TFDG on the bacteria was further analyzed using CFU assay (Table 1). At the sixth hour, 62.5 µg/mL was able to inhibit the bacteria from 43.20% to 55.37% and ranged from 93.12% to 99.98% for 250 µg/mL TFDG. This correlates to the log reduction ranging from 0.25 to 0.35 for 62.5 µg/mL TFDG and from 1.17 to 3.69 for 250 µg/mL TFDG. Among nine bacteria tested, 250 µg/mL TFDG worked the best on P. aeruginosa (99.98 ± 0.01%). All the data were statistically significant (p < 0.05).

Determination of MIC and Half-Maximal Inhibitory Concentration (IC 50 )
No bacterial growth was observed when treated with 250 µg/mL or higher TFDG, so the MIC was determined as 250 µg/mL. The IC 50 for all bacteria is around 62.5 µg/mL. As for erythromycin, the IC 50 ranged from 7 to 26 µg/mL, and the MIC should be greater than 45 µg/mL for the bacteria tested in this study (Supplementary Figures S1-S3).

Colony Forming Unit (CFU) Assay
Based on the microplate assay result, the effect of TFDG on the bacteria was further analyzed using CFU assay (Table 1). At the sixth hour, 62.5 µg/mL was able to inhibit the bacteria from 43.20% to 55.37% and ranged from 93.12% to 99.98% for 250 µg/mL TFDG. This correlates to the log reduction ranging from 0.25 to 0.35 for 62.5 µg/mL TFDG and from 1.17 to 3.69 for 250 µg/mL TFDG. Among nine bacteria tested, 250 µg/mL TFDG worked the best on P. aeruginosa (99.98 ± 0.01%). All the data were statistically significant (p < 0.05).

Germination Inhibition via CFU Assay
The percent (%) inhibition was calculated from the CFU assay after a 60-min TFDG treatment. 312.5 µg/mL TFDG inhibited the Bacillus spores from germinating, ranging from 54.13% to 60.49%, while 625 µg/mL TFDG was able to inhibit germination ranging from 99.37% to 99.92% (Table 3).  Figure 5 shows the untreated (control) spores were primarily green. Samples treated with 312.5 µg/mL TFDG indicated the spores were impaired, while 625 µg/mL TFDGtreated spores were mainly non-viable.

Binding Pocket
The protein structures related to the four genes of interest were analyzed via CASTp to determine its binding pocket. Table 4 shows the binding pocket areas (Å 2 ) for GPR were 616.45 and 433.40 for B. cereus and B. subtilis, respectively. The binding pocket areas (Å 2 ) for Lgt were 1284.21 for B. cereus and 1565.20 for B. subtilis. The amino acid residues of each pocket were used as a guide to determine the location and size of the grid for in silico docking analysis. Table 4. Binding pocket prediction and analysis of conserved germination protein via CASTp. The predicted binding pocket includes the pocket area, volume, and residues lining the pocket of conserved germination genes.

Bacteria
Protein

Binding Pocket
The protein structures related to the four genes of interest were analyzed via CASTp to determine its binding pocket. Table 4 shows the binding pocket areas (Å 2 ) for GPR were 616.45 and 433.40 for B. cereus and B. subtilis, respectively. The binding pocket areas (Å 2 ) for Lgt were 1284.21 for B. cereus and 1565.20 for B. subtilis. The amino acid residues of each pocket were used as a guide to determine the location and size of the grid for in silico docking analysis.  In contrast, Lgt has only seven bonds, including hydrophobic pi-sigma, conventional H bond, and carbon H bond. The binding pocket and the bond for each protein were observed using Discovery Studio, as seen in Figure 6. Previous studies showed the −7.0 kcal/mol threshold as significant for AutoDock binding [48,49]. Since both proteins showed a higher negative value, it indicates these two are good candidates for TFDG anti-germination properties evaluation. Hydrogen bond regulates molecular interaction through donor-acceptor pairing, enhancing receptor-ligand interaction [50]. Instead, hydrophobic interaction is a major consideration for binding affinity as this interaction can be considered a weak hydrogen bond [50]. B. cereus GPR binding affinity consists of 4 hydrogen bond interactions, while Lgt (GerF) consists of four hydrogen interactions. B. subtilis GPR TFDG binding affinity consists of nine hydrogen bonds interactions, while Lgt (GerF) has four hydrogen bonds and three strengthening hydrophobic interactions.    Figure 7 shows the relative expression of both lgt and gpr after a one-hour treatment of 625 µg/mL TFDG. In both B. cereus and B. subtilis, the expression of gpr dropped to 0.20 and 0.39, respectively, compared to the control (1.00). On the other hand, the expression of lgt was lower only in B. cereus (0.25) but not in B. subtilis (0.88) when compared to the control (1.00).

Semi-Quantitative RT-PCR
regulates molecular interaction through donor-acceptor pairing, enhancing receptor-ligand interaction [50]. Instead, hydrophobic interaction is a major consideration for binding affinity as this interaction can be considered a weak hydrogen bond [50]. B. cereus GPR binding affinity consists of 4 hydrogen bond interactions, while Lgt (GerF) consists of four hydrogen interactions. B. subtilis GPR TFDG binding affinity consists of nine hydrogen bonds interactions, while Lgt (GerF) has four hydrogen bonds and three strengthening hydrophobic interactions. Figure 7 shows the relative expression of both lgt and gpr after a one-hour treatment of 625 µg/mL TFDG. In both B. cereus and B. subtilis, the expression of gpr dropped to 0.20 and 0.39, respectively, compared to the control (1.00). On the other hand, the expression of lgt was lower only in B. cereus (0.25) but not in B. subtilis (0.88) when compared to the control (1.00).

Discussion
The urgency to find a novel antimicrobial agent has pushed researchers to look for either natural or synthetic alternatives. Currently, there are 42 new antibiotics under clinical development, but only 11 can treat pathogens that are considered critical by the World Health Organization (WHO) [51]. Antibiotic development projects from major pharmaceutical companies only account for four out of 42 studies, focusing on more profitable ventures like immune-oncology therapeutics [51]. For this reason, it is time for us to seek alternative solutions to ease the healthcare and economic burden of developing new antibiotics.
In this study, several methods were used to demonstrate the effectiveness of TFDG in inhibiting cell growth. As seen in Figures 2-4 and Tables 1 and 2, 250 µg/mL TFDG consistently inhibits ≥ 90% of cells compared to the control at 6-h incubation. BacTiter-Glo TM measures the ATP level in the cell since extracellular ATP peaked at the end of the log phase but decreased during the stationary phase [52]. This test is more sensitive as it directly detects the presence of the ATP level in the sample, indicating the metabolically active viable cells, which do not discriminate between live and dead cells [53]. The Live/Dead assay measures the permeability of the cellular membrane. Red-colored cells indicate the cell membranes were damaged when treated with TFDG (Figures 2-4). These two assays provided further proof that TFDG could effectively inhibit bacterial growth. Ignasimuthu et al. [54] showed the MIC of EGCG for B. subtilis, E. coli, and S. aureus

Discussion
The urgency to find a novel antimicrobial agent has pushed researchers to look for either natural or synthetic alternatives. Currently, there are 42 new antibiotics under clinical development, but only 11 can treat pathogens that are considered critical by the World Health Organization (WHO) [51]. Antibiotic development projects from major pharmaceutical companies only account for four out of 42 studies, focusing on more profitable ventures like immune-oncology therapeutics [51]. For this reason, it is time for us to seek alternative solutions to ease the healthcare and economic burden of developing new antibiotics.
In this study, several methods were used to demonstrate the effectiveness of TFDG in inhibiting cell growth. As seen in Figures 2-4 and Tables 1 and 2, 250 µg/mL TFDG consistently inhibits ≥ 90% of cells compared to the control at 6-h incubation. BacTiter-Glo TM measures the ATP level in the cell since extracellular ATP peaked at the end of the log phase but decreased during the stationary phase [52]. This test is more sensitive as it directly detects the presence of the ATP level in the sample, indicating the metabolically active viable cells, which do not discriminate between live and dead cells [53]. The Live/Dead assay measures the permeability of the cellular membrane. Red-colored cells indicate the cell membranes were damaged when treated with TFDG (Figures 2-4). These two assays provided further proof that TFDG could effectively inhibit bacterial growth. Ignasimuthu et al. [54] showed the MIC of EGCG for B. subtilis, E. coli, and S. aureus ranging from 130 to 580 µg/mL via broth dilution method. This suggests that TFDG might be comparable or even better as an antibacterial agent when compared to EGCG. Further studies of the effects of TFDG against clinically significant strains like ESKAPE (Enterococcus faecium, S. aureus, K. pneumoniae, A. baumannii, P. aeruginosa, and Enterobacter spp.) bacteria and other drug-resistant strains such as MRSA, VRSA, carbapenem-resistant Enterobacterales (CRE) will be carried out [55]. In terms of the antibacterial mechanism, TFDG decreased the eDNA and dextran production in S. mutans while decreasing the expression nucleoid synthesis in Clostridium perfringens (C. perfringens) [9,13]. A recent transcriptome study also shows that TFs (80% purity) could inhibit different virulence factors, including glucosyltransferases, gtfB, gtfC, and gtfD in S. mutans. The antimicrobial mechanism of TFDG on other species remains undetermined [56].
Bacterial spores are associated with foodborne diseases and food spoilage, and human diseases like gas gangrene, anthrax, and botulism [36]. Table 3 and Figure 5 show the successful inhibition of both B. cereus and B. subtilis from germinating. This is a promising observation, as TFDG could still prevent the spore from germinating above 99% for both species. The ability of EGCG to inhibit sporulation is well-documented across Bacillus spp. [16,57]. The findings in this study provide further evidence that tea polyphenols could serve as a potent antimicrobial agent. CASTp is an online tool that analytically predicts pocket cavities by utilizing the algorithmic and theoretical modeling that excludes shallow depression [58]. This binding pocket was utilized to determine the binding affinity of TFDG. Molecular docking in this study helps understand the mechanism of TFDG. Previous findings showed that compounds with binding energies of −7.0 kcal/mol or less are considered significant [48]. This threshold eliminates either weak or non-specific binding energies [49]. Chang et al. [49] showed that this threshold could detect 98% of known inhibitors of HIV therapeutics. This threshold has also been shown to eliminate 95% of noninhibitor interaction [49]. This study uses AutoDock Vina for binding analysis. It is a freely accessible tool that best performed in predicting high-affinity ligands and showed the most consistent performance in a study by Kukol [59]. Table 4 and Figure 6 show that the binding affinity of TFDG for B. cereus GPR and Lgt were −9.7 and −7.6 kcal/mol, respectively. As for B. subtilis, TFDG affinity for GPR and Lgt were the same, at −10.3 kcal/mol. Based on the promising binding results, a semi-quantitative RT-PCR was carried out to investigate the relative expression of both genes when treated with TFDG. This method is sensitive and reliable in detecting limited transcripts from the samples [60]. The result in Figure 7 shows that the relative expression of gpr was significantly lower (0.20 to 0.39) than the control in both B. cereus and B. subtilis. The relative expression of lgt was higher in B. subtilis (0.88) than B. cereus (0.25) compared to the control. Overall, TFDG may affect both lgt and gpr expression in B. cereus while only gpr expression in B. subtilis. The GPR protease encoded by gpr is a germination protease in the spore coat, responsible for degrading the small acid-soluble protein (SASPs) [61]. This is a conserved gene in Bacillus spp. Clostridium spp. and Clostridiodides spp. involving in protein synthesis and energy metabolism for early spore outgrowth [61,62]. A conserved gene, lgt or gerF in Bacillus spp. and Clostridium spp. codes for prelipoprotein diacylglycerol transferase [62,63]. This enzyme acts as a catalyst for the transfer of diacylglycerol to a cysteine residue in bacterial membrane prelipoproteins [63]. Mutation in this gene results in a slower germination process even in a favorable environment [63,64]. The deletion of lgt in B. anthracis causes a decrease in surface hydrophobicity that eventually leads to lower virulence in the mutant strain [64]. In B. subtilis, the mixture of Ca 2+ and dipicolinic acid (Ca-DPA) complex with GerF occurs during germination [63]. Li et al. [65] reported that the binding dissociation constant (Kd) between Ca-DPA and its native ligand SpoVAD was 0.8. To the best of our knowledge, this is the first study that investigates the binding affinity between Ca-DPA and GerF in Bacillus spp. Both GPR and GerF show favorable outcomes in inhibiting the germination process from in silico analysis. The favorable binding affinity, along with multiple numbers of hydrogen and hydrophobic bonds, suggests that these two proteins could be the potential targets of TFDG in inhibiting the germination process. Semi-quantitative results support that TFDG inhibits the expression of the conserved genes. Thus, TFDG should be further investigated as a natural food additive. Figures 2-4 show the cells clumped together, the self-binding process known as auto-agglutination/auto-aggregation [66]. This is a widely observed phenomenon and is considered the first step in biofilm formation [66]. Auto-aggregation occurs under stressful conditions, such as temperature change, and protects the cells from external stressors [66]. Generally, auto-aggregation is mediated by surface proteins like the self-associating autotransporters (SAATs) in Enterobacteriaceae [66]. In Actinobacillus pleuropneumoniae (A. pleuropneumoniae), the adhesin gene adh was involved in the biofilm formation, and the deletion of this gene could decrease pathogenicity [67]. Similarly, the first steps of biofilm formation in Helicobacter pylori, P. gingivalis, and Staphylococcus epidermidis are also through auto-aggregation via their adhesin genes [68][69][70]. The effects of TFDG, especially pertaining to adhesion and biofilm formation, would be a pivotal step to better understanding the antimicrobial mechanism of TFDG.

Bacteria Culture
The bacterial cultures used in this study include Gram-negative: Klebsiella aerogenes (K.

Culture Maintenance
All cultures were maintained in tryptic soy broth (TSB) or tryptic soy agar (TSA) except for S. pyogenes and M. smegmatis, which were maintained in brain heart infusion broth (BHIB) (Bacto TM , Sparks, MD, USA). The media were made with Milli-Q Integral 5 Water Purification System (Millipore Sigma, Billerica, MA, USA) based on the manufacturer's protocol. All experiments were performed using fresh overnight culture. The purity of the cultures was routinely checked.

Microplate Assay
The bacterial growth was monitored with different TFDG concentrations (0, 62.5, 125, and 250 µg/mL) over a 12-h period. In a 96-well plate, 10 µL of overnight culture (OD 600nm = 1.0) was added to each well along with various concentrations of TFDG and TSB to yield a final volume of 120 µL. The optical density was recorded hourly using a Varioskan™ LUX multimode microplate reader and analyzed via SkanIt Software (Thermo Scientific TM , Waltham, MA, USA). The positive control was 10% bleach, while bacterial growth media was used as the negative control. The highest solvent concentration (1% EtOH) was also tested. Erythromycin, a broad-spectrum antibiotic, has also been included as a reference molecule for antibacterial efficacy comparison. The experiments were performed in triplicate. The microplate assay results established the half-maximal inhibitory concentration (IC 50 ) and minimum inhibitory concentration (MIC). The lowest concentration with no bacterial growth was defined as MIC. The IC 50 was calculated based on a dose-response curve with log (concentration) as the x-axis and percent inhibition as the y-axis based on 0, 62.5, 125, and 250 µg/mL. The concentration that correlates to the 50% inhibition is the IC 50 .

Colony Forming Unit (CFU) Assay
Following the microplate assay, the cultures treated with 0, 62.5, and 250 µg/mL TFDG were collected after 6-h incubation, serially diluted (from 10 −2 to 10 −8 ) plated on TSA. The plates were incubated for 12 h at 37 • C, and the experiments were done in triplicate. The CFUs were recorded, and the percent inhibition was calculated based on the following formula: The log reduction of the CFU was also calculated based on the following formula:

BacTiter-Glo TM Microbial Cell Viability Assay
BacTiter-Glo TM , the luciferase-based assay that quantifies the amount of ATP of metabolically active cells, was conducted according to the manufacturer's protocol (Promega, Madison, WI, USA) [54]. The reagent was prepared by mixing the BacTiter-Glo TM buffer with the BacTiter-Glo TM lyophilized substrate at room temperature. The mixture was then homogenized and incubated at room temperature for 15 min.
In a black 96-well plate, the bacteria were prepared based on the microplate assay (TFDG concentration of 0, 62.5, and 250 µg/mL) and placed in an IS-500 Incubator Shaker (Chemglass Life Sciences LLC, Vineland, NJ, USA) at 37 • C, 250 rpm for six hours. Then 120 µL of the BacTiter-Glo TM reagent was added to each well. The plate was wrapped in aluminum foil and placed in the incubator shaker for five minutes. The luminescence was read using a Varioskan™ LUX multimode microplate reader and analyzed via SkanIt Software (Thermo Scientific TM , Waltham, MA, USA). The experiments were done in triplicate. The percent inhibition was calculated based on the following formula: The log reduction of the RFU was also calculated based on the following formula:

LIVE/DEAD TM BacLight TM Bacterial Viability Assay
The Live/Dead Viability is a two-dye system consisting of Syto9 green fluorescent dye and propidium iodide (PI) red fluorescent dye. Both nucleic acid dyes can be used to differentiate live from dead bacteria. PI penetrates damaged bacterial membranes while Syto9 stains bacteria with intact cell membranes. Thus, live cells will be stained in green, impaired cells in yellow, and dead cells in red.
The staining was done using the Invitrogen TM Live/Dead BacLight TM Bacterial Viability Kit. According to the manufacturer's recommendation, equal parts of the Syto9 and PI were combined (Thermo Fisher Scientific, Waltham, MA, USA).
Following the same experimental setup as the CFU assay mentioned above (0, 62.5, and 250 µg/mL TFDG), the dye mixture was added to each culture and incubated at room temperature in the dark for 15 min. The cells were then observed using Olympus IX81 FV1000 Confocal Microscope, and the images were analyzed using the FV10-ASW 4.2 viewer. This method was also utilized to visualize the germinated spores, except the spores were treated for 60 min.

Spore Preparation
This method was modified based on the previously published protocol [16,72]. B. cereus and B. subtilis are spore-forming bacteria. The spores were induced by adding 5 mL of fresh overnight culture (OD 600nm = 1.0) to 5 mL sterile diH 2 O in a culture tube. The cultures were incubated at 37 • C and 250 rpm for 72 h (IS-500 Incubator Shaker, Chemglass Life Sciences LLC, Vineland, NJ, USA). After 72 h, the spores were heated for 20 min at 75 • C to inactivate the vegetative cells. The purity of the spores was confirmed through the Schaeffer Fulton differential stain method.

Spore Germination Inhibition Assay
100 µL of the 72-h spores were added to various concentrations of TFDG (312.5 µg/mL and 625 µg/mL) along with TSB to a final volume of 1 mL in a microcentrifuge tube. The tubes were incubated for 1 h at 37 • C and 250 rpm (IS-500 Incubator Shaker, Chemglass Life Sciences LLC, Vineland, NJ, USA). After the incubation period, the samples were serially diluted (from 10 −2 to 10 −9 ), and 100 µL of the dilution was plated using the spread plate method with TSA. The plates were incubated for 12 h at 37 • C. The experiments were done in triplicate. The CFUs were recorded, and the percentage of inhibition and log reduction was calculated based on the formula above (1 and 2).

Gene and Protein Selection
The germination genes for in silico modeling were selected based on conserveness in Bacillus spp. and Clostridium spp. [74]. The genes and their protein information were tabulated in Table 6. The protein structure of each gene was downloaded directly from PDB (https://www.rcsb.org/, accessed on 3 September 2021) for the binding analysis. If the protein structure was not yet crystalized, the protein sequence was used to construct a hypothetical structure using SwissModel (https://swissmodel.expasy.org/, accessed on 3 September 2021) [75]. The hypothetical structure with the highest sequence identity was chosen for the analysis. The binding pocket was then determined using the Computed Atlas of Surface Topography of Proteins (CASTp) (http://sts.bioe.uic.edu/castp/, accessed on 3 September 2021) [58].

In Silico Docking Analysis and Visualization
In silico docking analysis was performed using AutoDock Vina. The size and search space of each protein were calculated using AutoDock Tools 1.5.6 based on the result from the CASTp analysis. Table 7 shows the grid box for each analysis. The spacing was left at the default value of 0.375 Å, as well as the exhaustiveness rate of 8 [73]. The spore germination assay was carried out for control, PBS, and 625 µg/mL TFDG. After one hour of treatment, the RNA extraction was done using the Ambion ® RiboPure TM Kit (Ambion Inc, Austin, TX, USA). Then 250 µL of the sample was mixed with the 1 mL TRI reagent. The mixture was sonicated 15 times at 3 s intervals (20% power) using the Branson Sonifier Cell Disruptor 200 (Emerson Industrial, St. Louis, MO, USA). The extraction process was carried out based on the manufacturer's protocol. The RNA was used as a template for the cDNA synthesis using the ABI High Capacity cDNA Reverse Transcription Kit (Applied Biosystems-Life Technologies, Camarillo, CA, USA). The cDNA synthesis was done according to the manufacturer's protocol. The cDNA synthesis was carried out in a Veriti 96-Well Thermocycler (Applied Biosystems, Camarillo, CA, USA). The cDNA purity and concentration were measured using a BioDrop uLite (Biochrom, Cambridge, United Kingdom). The samples were stored at −20 • C.

Statistical Analysis
All experiments were performed in triplicate, and the mean and standard deviations (SD) were calculated. One-way Analysis of Variance (ANOVA) and Dunnett's post hoc analysis were used to analyze the data (GraphPad Prism 5, San Diego, CA, USA). A p-value less than 0.05 was considered statistically significant.

Conclusions
This study profiled the effects of TFDG on nine bacteria, including Gram-positive, Gram-negative, and acid-fast bacteria. Microplate assay and the CFU assay were carried out. The microplate assay results indicated the MIC was 250 µg/mL. BacTiter-Glo TM Microbial Cell Viability test was also performed to measure the level of ATP in the sample. The fluorescence-based Live/Dead Assay was utilized to visualize the morphological changes on individual cells to TFDG, thus precluding the possible antibacterial mechanism of TFDG. In silico modeling allowed us to analyze and propose the mechanism of TFDG on the bacterial spores at the molecular level. Semi-quantitative RT-PCR assays were carried out for gene expression analysis pre-and post-treatment. This study successfully shows the potential usage of TFDG as an antimicrobial agent for a wide selection of bacteria, ranging through Gram-negative, Gram-positive, and acid-fast species. This study also shows the anti-germination properties of TFDG as TFDG inhibits the expression of gpr and lgt, genes code for the conserved GPR and Lgt (GerF) germination proteins based on in silico modeling and semi-quantitative RT-PCR.