Soil bacteria participate in self-immobilization processes for survival, persistence, and production of virulence factors in some niches or hosts through their capacities for autoaggregation, cell surface hydrophobicity, biofilm formation, and antibiotic and heavy metal resistance. This study investigated potential virulence, antibiotic and heavy metal resistance, solvent adhesion, and biofilm-forming capabilities of six cellulolytic bacteria isolated from soil samples: Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6. Strains were subjected to phenotypic methods, including heavy metal and antibiotic susceptibility and virulence factors (protease, lipase, capsule production, autoaggregation, hydrophobicity, and biofilm formation). The effect of ciprofloxacin was also investigated on bacterial susceptibility over time, cell membrane, and biofilm formation. Strains MKAL2, MKAL5, and MKAL6 exhibited protease and lipase activities, while only MKAL6 produced capsules. All strains were capable of aggregating, forming biofilm, and adhering to solvents. Strains tolerated high amounts of chromium, lead, zinc, nickel, and manganese and were resistant to lincomycin. Ciprofloxacin exhibited bactericidal activity against these strains. Although the phenotypic evaluation of virulence factors of bacteria can indicate their pathogenic nature, an in-depth genetic study of virulence, antibiotic and heavy metal resistance genes is required.

The soil microbiota is essential in cycling carbon, nitrogen, and other nutrients. Soil bacteria are biotransformation agents of soil matter and nutrients widely used in industrial processes. The interactions of soil bacteria are very complex. Changes in diversity within one trophic group or functional guild can alter the diversity, prevalence, and functioning, leading to the development of various strategies for their survival [Ning et al., 2021].

While soil bacteria develop strategies to better survive in their environment, they can become more harmful to humans in terms of infection development and lead to higher medical costs, prolonged hospital stays, and increased mortality rates [Mogrovejo et al., 2020]. Various reports revealed that soil bacteria developing virulence factors are increasing annually worldwide due to the contamination with high concentrations of toxic metals from agrochemicals, industrial wastewater, and gas and coal mining [Yang et al., 2022]. In such circumstances, they exhibit their pathogenicity through several mechanisms such as (1) the contribution of pili/flagella/fimbriae/adhesins to adherence, autoaggregation, biotic and abiotic surface colonization; (2) the role of outer membrane lipopolysaccharide (LPS) in biofilm formation, resistance to antibiotics and heavy metals, and complement-mediated cell killing; (3) the role of diffusible signal factor in quorum sensing that mediates extracellular enzyme production, LPS synthesis, microcolony formation, antibiotic and heavy metal tolerance; and (4) extracellular enzyme production such as protease, esterase, DNase, RNase, lipase, hemolysin, gelatinase, and fibrinolysin [Abbott et al., 2011; Brooke, 2012; Kalidasan et al., 2018; Odeyemi and Sani, 2019; Rhen, 2019].

Six cellulolytic bacteria, Paenarthrobacter sp., Hymenobacter sp., Mycobacterium sp., Stenotrophomonas sp., Chryseobacterium sp., and Bacillus sp., isolated from isolated soil samples collected in Kingfisher Lake and the University of Manitoba campus showed promising activities in the fermentation process [Mokale et al., 2022a, 2022b]. However, their innocuity has not been investigated yet, a primary characteristic in lignocellulosic biomass bioprocess industries. Several virulence factors were reported in Mycobacterium [Ly and Liu, 2020], Stenotrophomonas [Kalidasan et al., 2018], Chryseobacterium [Mwanza et al., 2022], and Bacillus [Mbhele et al., 2021] species collected from various sources. Therefore, this study investigated potential virulence factors, antibiotic and heavy metal resistance, solvent adhesion, and biofilm-forming capabilities of these soil cellulolytic bacteria.

Microorganisms

Six bacterial isolates with cellulolytic properties (cellulase and glucose isomerase activities) were characterized using soil samples from Kingfisher Lake and the University of Manitoba campus. These isolates were identified as Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6 with the NCBI accession numbers ON442553, ON442554, ON442555, ON442556, ON442557, and ON442558, respectively [Mokale et al., 2022a, 2022b]. Bacteria were maintained in Tryptic soy broth (TSB) at 30°C for subsequent tests.

Extracellular Enzyme Production

Hemolytic, proteolytic, and lipase activities and capsule production were screened using blood agar, skim milk agar, tween 80 agar, and Congo red agar, respectively [Lamari et al., 2018]. Overnight bacterial cultures were inoculated in sterile Petri dishes containing respective culture medium and then incubated at 30°C for 48 h. After incubation, a clear zone of hydrolysis around the bacterial isolate indicated the presence of proteolytic and lipase activities. A greenish-gray or brownish discoloration around the colony revealed α-hemolysis (α-hemolysin production), while the clear zone appearance around the colony showed β-hemolysis (β-hemolysin production). The absence of coloration changes or zone appearance indicated γ-hemolysin production (no cell blood lysis). Black colonies were capsule producers, while red colonies were non-capsule producers.

Autoaggregation

Autoaggregation assay was performed according to Escamilla-Montes et al. [2015]. Overnight bacterial cultures were collected, centrifuged at 5,000 × g for 15 min, washed twice, and suspended in phosphate-buffered saline (PBS, pH 7.4). Cell density was adjusted to the optical density of 0.55–0.60 at 600 nm (A0). Bacterial cell suspensions (4 mL) were mixed by vortexing for 10 s and incubated at room temperature for 24 h. After 3, 6, and 24 h, 0.1 mL of the upper suspension was transferred to another 3.9 mL of PBS, and absorbance was measured at 600 nm. PBS was used as a blank.

Autoaggregation%=1At/A0×100, where At represented the absorbance at time t = 3, 6, or 24 h and A0, the absorbance at t = 0.

Adhesion to Solvents

The bacterial adherence to hydrocarbons (BATH) test was used to evaluate the bacterial hydrophobicity potential [Borghi et al., 2011]. This test analyzed microbial linkage to n-octane (apolar solvent), chloroform (polar acid solvent), and ethyl acetate (basic polar solvent). Bacterial strains were grown in TSB at 30°C for 24 h. The bacterial culture was centrifuged at 5,000 × g for 15 min, the supernatant was discarded, and pellets were washed twice with PBS (pH 7.4). The density of cells was adjusted to the optical density of 0.55–0.60 at 600 nm (A0). The test mixture was composed of cell suspension (4 mL) and 1 mL of n-octane, chloroform, and ethyl acetate in individual glass tubes and then vortexed for 1 min. The mixture was decanted into two phases at room temperature for 30 min. The supernatant was discarded, and absorbance was read at 600 nm (A1). Hydrophobic ability was estimated according to the formula:

Hydrophobicity%=A0A1/A0×100, and isolate is classified into three categories: not hydrophobic (<20%), moderate (20–50%), and strong (>50%).

Resistance to Heavy Metals

Resistance of the isolates to heavy metals (Co2+, Cd2+, Cr3+, Zn2+, Hg2+, Cu2+, Mn2+, Ni2+, Ba2+, and Pb2+) was carried out by inoculating overnight bacterial culture on Tryptic soy agar Petri dishes containing various concentrations of metal (50, 150, 300, 450, 600, and 750 µg/mL) [Marzan et al., 2017]. The metal was loaded into the medium in the form of chloride salt, and the pH of the medium was adjusted to 7 by sodium hydroxide or hydrochloride if necessary. Visible growth of isolates was observed for 24 and 48 h at 30°C. Minimum inhibitory concentration (MIC) was the lowest concentration inhibiting bacterial growth.

Biofilm Formation

The biofilm-forming capacity of bacterial strains was carried out by adhesion to polystyrene [Chaieb et al., 2011]. Isolates were grown in TSB at 30°C and then diluted to 1:100 w/v (in TSB with 2% glucose). Aliquots of cell suspensions (200 µL) were transferred to 96-well microtiter plates and incubated at 35°C for 24 h. Plates were washed twice with PBS and dried. The well with sterile TSB alone was used as a control. Adherent strains were fixed with ethanol (95%) and stained with 100 µL crystal violet (CV) (1% w/v) solution for 5 min. Microplates were washed and air-dried. Biofilm-forming ability was measured at 570 nm. The experiment was done in triplicate. Biofilm formation was interpreted as follows: highly positive (OD570 ≥ 1), moderately to weakly positive (0.1 ≤ OD570 < 1), or negative (OD570 ≤ 0.1).

Resistance to Antibiotics

The bacterial susceptibility to antibiotics was investigated by determining the diameter of inhibition zones (DIs) and MICs using the agar disc diffusion and microdilution methods [CLSI, 2008]. Bacterial cell suspensions were prepared at 1.5 × 108 colony-forming units per mL (CFU/mL) corresponding to the McFarland 0.5 turbidity standard. The bacterial suspension (100 μL) was spread in Petri dishes containing sterile MHA (20 mL). Antibiotic discs were dropped on the surface of MHA dishes and diffused for 15 min before incubation at 35°C for 24 h. Antibiotics tested were ampicillin (10 μg), novobiocin (30 μg), bacitracin, tetracycline (30 μg), erythromycin (15 μg), chloramphenicol (30 μg), penicillin (10 units), hygromycin B (50 μg), lincomycin (15 μg), phleomycin (50 μg), kanamycin (30 μg), trimethoprim (15 μg), and ciprofloxacin (15 μg). Dishes without antibiotics were used as blank.

For the microdilution method, a two-fold dilution of antibiotics (v/v medium, inoculum, and water-soluble antibiotics) and negative control (v/v medium and inoculum) were included. Each well of a 96-well sterile microtiter plate received Mueller-Hinton broth (100 μL), antibiotic (100 μL), and bacterial inoculum (1.5 × 108 CFU/mL), and plates were covered and incubated at 35°C for 24 h. After incubation, 50 μL of aqueous p-iodonitrotetrazolium violet (bacterial growth indicator) was added to the wells and incubated for 30 min. The MIC value was the lowest concentration of antibiotics that completely inhibited cell growth (when the solution remained clear in the well after incubation with p-iodonitrotetrazolium violet). Ampicillin, chloramphenicol, ciprofloxacin, trimethoprim, kanamycin, and lincomycin were used at concentrations ranging from 128 to 1 µg/mL. The antibiotic with the highest inhibitory effect (lowest MIC values) was used to explore its action on bacterial sensibility.

Time-Kill Kinetics Assay

The antimicrobial efficacy testing was performed to evaluate the inhibitory effect of ciprofloxacin over time [Tsuji et al., 2008]. Bacterial isolates were subcultured and diluted to obtain an inoculum size of 5 × 106 CFU/mL. Concentrations of ciprofloxacin equal to MIC, 2MIC, and 4MIC were prepared and transferred into test tubes containing Mueller-Hinton broth and bacterial inoculum. Tubes were incubated at 35°C. Aliquots of medium (1 mL) were collected at 0, 2, 4, 6, 12, and 24 h, inoculated aseptically into MHA Petri dishes, and incubated at 35°C for 24 h. A control test was carried out without the antibiotic. The number of viable organisms was counted as CFU. Graphs of the log CFU/mL were plotted against time.

Action on Cell Membrane Integrity and Membrane Permeability

The effect of ciprofloxacin on cell membrane integrity and membrane permeability was conducted using the protocol described by Devi et al. [2010]. Overnight bacterial cultures were centrifuged (5,000 × g, 15 min), and the supernatant was discarded. Pellets were washed twice using sterile distilled water and then suspended in PBS (pH 7.4) to obtain a cell density of 0.55–0.60 at 600 nm. Cell suspensions were treated with ciprofloxacin (MIC and 4MIC). Cell suspensions without antibiotic treatment were used as negative controls. For effect on membrane integrity, samples were incubated at 35°C for 1 h under agitation (200 rpm), then centrifuged (12,000 × g, 15 min), and supernatants were read at 260 nm. Recordings were expressed as percentages of the extracellular UV-absorbing materials released by cells.

For effect on membrane permeability, treated cell suspensions were resuspended in PBS containing CV (10 µg/mL). Cell suspensions were incubated for 10 min at 35°C, followed by centrifugation (12,000 × g, 15 min), and supernatants were measured at 590 nm. The percentage of CV uptake of samples was calculated using the following formula:

Action on Biofilm Formation

The effect of ciprofloxacin on biofilm formation was performed using 96-well microtiter plates by the CV method [Nowak et al., 2015]. A two-fold dilution of the antibiotic from 8MIC to 1/16 MIC (v/v TSB, inoculum, and water-soluble antibiotic), growth control (v/v TSB and inoculum), and media control (only TSB) were included. Plates were incubated at 35°C for 24 h. Upon well content was discarded, wells were washed with PBS (pH 7.4) and stained with 1% (w/v) CV, followed by incubation at room temperature for 20 min. Biofilms were fixed with 30% (v/v) acetic acid (200 µL) and read at 595 nm. The percentage of biofilm inhibition was calculated using the following formula:

Statistical Analysis

All experiments were performed in triplicate. Data were expressed as mean ± SD. Statistical analysis was carried out using one-way analysis of variance (ANOVA) followed by Student-Newman-Keuls multiple comparison tests using GraphPad Prism 5 Windows software. Differences between values were considered significant at p < 0.05.

Protease, Lipase, Hemolysin, and Capsule Production

Among the six bacterial isolates studied, only Bacillus sp. produced capsules. Hymenobacter sp., Mycobacterium sp., Chryseobacterium sp., and Bacillus sp. exhibited proteolytic activities. Hymenobacter sp., Chryseobacterium sp., and Bacillus sp. showed lipase activity. No hemolytic properties were observed (Table 1).

Table 1.

Capsule, protease, and lipase production of bacterial isolates

IsolatesCapsule productionProtease productionLipase productionHemolysis
PhenotypesIndex
Paenarthrobacter sp. MKAL1 Pinkish red Capsule nonproducer ‒ ‒ ‒ 
Hymenobacter sp. MKAL2 Pinkish red Capsule nonproducer ‒ 
Mycobacterium sp. MKAL3 Pinkish red Capsule nonproducer ‒ ‒ 
Stenotrophomonas sp. MKAL4 Pinkish red Capsule nonproducer ‒ ‒ ‒ 
Chryseobacterium sp. MKAL5 Pinkish red Capsule nonproducer ‒ 
Bacillus sp. MKAL6 Black Capsule producer ‒ 
IsolatesCapsule productionProtease productionLipase productionHemolysis
PhenotypesIndex
Paenarthrobacter sp. MKAL1 Pinkish red Capsule nonproducer ‒ ‒ ‒ 
Hymenobacter sp. MKAL2 Pinkish red Capsule nonproducer ‒ 
Mycobacterium sp. MKAL3 Pinkish red Capsule nonproducer ‒ ‒ 
Stenotrophomonas sp. MKAL4 Pinkish red Capsule nonproducer ‒ ‒ ‒ 
Chryseobacterium sp. MKAL5 Pinkish red Capsule nonproducer ‒ 
Bacillus sp. MKAL6 Black Capsule producer ‒ 

Black colony, capsule production; pinkish red colony, no capsule production; +, production/hemolysis; ‒, no production/no hemolysis.

Autoaggregation, Hydrophobicity, and Biofilm-Forming Capacities

The autoaggregation ability of bacterial strains was investigated based on their sedimentation features. Their autoaggregation capability increased with incubation time (Fig. 1). The aggregation potential increased from 31.09 to 56.36%, 26.18 to 59.95%, 33.30 to 58.87%, 21.11 to 53.16%, 18.13 to 46.30%, and 29.11 to 55.11% for Bacillus sp. MKAL6, Hymenobacter sp. MKAL2, Chryseobacterium sp. MKAL5, Paenarthrobacter sp. MKAL1, Mycobacterium sp. MKAL3, and Stenotrophomonas sp. MKAL4, respectively. Hymenobacter sp. MKAL2 showed the highest autoaggregation potential (59.95%) at 24 h, while Mycobacterium sp. MKAL3 showed the lowest ability (46.30%).

Fig. 1.

Quantitative estimation autoaggregation of Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6.

Fig. 1.

Quantitative estimation autoaggregation of Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6.

Close modal

Cell surface hydrophobicity of bacterial isolates analyzed microbial linkage to n-octane (apolar solvent), chloroform (polar acid solvent), and ethyl acetate (basic polar solvent). Hydrophobic cell surface showed adherence to n-octane (6.66–31.08%), chloroform (19.88–45.58%), and ethyl acetate (8.57–58.16%) (Fig. 2). The hydrophobicity ability of Bacillus sp. MKAL6 increased with solvent polarity, while that of Mycobacterium sp. MKAL3 decreased with solvent polarity. All isolates showed a moderate hydrophobicity to chloroform except for Hymenobacter sp. MKAL2 (19.88%). Paenarthrobacter sp. MKAL1 (29.76%), Stenotrophomonas sp. MKAL4 (43.28%), and Chryseobacterium sp. MKAL5 (37.31%) exhibited the highest hydrophobicity ability to chloroform, while Hymenobacter sp. MKAL2 (21.77%) and Mycobacterium sp. MKAL3 (31.08%) showed the highest adhesion effect to n-octane. However, Bacillus sp. MKAL6, a capsule producer, exhibited a strong hydrophobicity for ethyl acetate (58.16%).

Fig. 2.

Quantitative estimation of adhesion of bacterial strains to solvents. Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6 were classified into three categories: not hydrophobic (<20%), moderate (20–50%), and strong (>50%).

Fig. 2.

Quantitative estimation of adhesion of bacterial strains to solvents. Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6 were classified into three categories: not hydrophobic (<20%), moderate (20–50%), and strong (>50%).

Close modal

The biofilm-forming capacity of isolates was estimated by adhesion to polystyrene. Paenarthrobacter sp. MKAL1 (OD570 = 2.985), Hymenobacter sp. MKAL2 (OD570 = 2.994), Mycobacterium sp. MKAL3 (OD570 = 2.000), Stenotrophomonas sp. MKAL4 (OD570 = 1.286), and Bacillus sp. MKAL6 (OD570 = 3.295) showed strong biofilm-forming capacity (OD570 ≥ 1), while Chryseobacterium sp. MKAL5 (OD570 = 0.601) exhibited moderate ability (0.1 ≤ OD570 < 1) (Fig. 3).

Fig. 3.

Biofilm-forming capacity of Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6. Adhesion ability of strains was interpreted as strong (OD ≥ 1), moderate (0.1 ≤ OD595 < 1), or weak (OD595 < 0.1).

Fig. 3.

Biofilm-forming capacity of Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6. Adhesion ability of strains was interpreted as strong (OD ≥ 1), moderate (0.1 ≤ OD595 < 1), or weak (OD595 < 0.1).

Close modal

Susceptibility to Heavy Metals and Antibiotics

Resistance of isolates to heavy metals (Co2+, Cd2+, Cr3+, Zn2+, Hg2+, Cu2+, Mn2+, Ni2+, and Pb2+) were carried out at the concentrations of 50, 150, 300, 450, 600, and 750 µg/mL. MICs of heavy metals were determined. All isolates showed variable degrees of resistance to heavy metals (Table 2). Cadmium inhibited bacterial growth at the lowest concentration tested (MIC = 50 µg/mL). Except for Stenotrophomonas sp. MKAL4 (MIC = 50 µg/mL), cobalt inhibited cell growth at the highest concentration tested (MIC = 750 µg/mL). Copper and mercury inhibited the growth of all isolates tested with MICs ranging from 50 to 450 µg/mL. Chromium, lead, zinc, nickel, and manganese did not inhibit bacterial growth except for Stenotrophomonas sp. MKAL4 at 600 µg/mL.

Table 2.

Resistance of bacterial isolates to heavy metals

Heavy metalsMIC, µg/mL
MKAL1MKAL2MKAL3MKAL4MKAL5MKAL6
Cadmium 50 50 50 50 50 50 
Chromium 
Cobalt 750 750 750 50 750 750 
Lead 
Nickel 
Manganese 600 
Mercury 50 50 50 150 150 50 
Zinc 
Copper 50 50 50 450 150 50 
Heavy metalsMIC, µg/mL
MKAL1MKAL2MKAL3MKAL4MKAL5MKAL6
Cadmium 50 50 50 50 50 50 
Chromium 
Cobalt 750 750 750 50 750 750 
Lead 
Nickel 
Manganese 600 
Mercury 50 50 50 150 150 50 
Zinc 
Copper 50 50 50 450 150 50 

–, growth at all tested concentrations; MKAL1, Paenarthrobacter sp. MKAL1; MKAL2, Hymenobacter sp. MKAL2; MKAL3, Mycobacterium sp. MKAL3; MKAL4, Stenotrophomonas sp. MKAL4; MKAL5, Chryseobacterium sp. MKAL5; MKAL6, Bacillus sp. MKAL6.

The bacterial susceptibility test was performed using various antibiotics (Fig. 4). In the agar-well diffusion method, all isolates were resistant to lincomycin with DIs ranging from 0.0 to 18.6 mm. Hymenobacter sp. was resistant to novobiocin (DI = 9.6 mm), bacitracin (DI = 0.0 mm), and tetracycline (DI = 10.1 mm), while Mycobacterium sp. (DI = 8.3 mm) was intermediate to bacitracin (Table 3). In the microdilution method, all antibiotics exerted an inhibitory effect against bacteria isolates with MIC ranging from 0.25 to 512 µg/mL (Table 4). Ciprofloxacin exhibited the highest inhibitory activity (MIC = 0.25–0.5 µg/mL), while kanamycin exhibited the lowest activity (MIC = 4–512 µg/mL). Paenarthrobacter sp. (MIC = 0.25–128 µg/mL), Mycobacterium sp. (MIC = 0.25–256 µg/mL), Hymenobacter sp. (MIC = 0.25–512 µg/mL), Stenotrophomonas sp. (MIC = 0.5–512 µg/mL), Chryseobacterium sp. (MIC = 0.5–512 µg/mL), and Bacillus sp. (MIC = 0.5–256 µg/mL) exhibited variable susceptibilities to antibiotics. As ciprofloxacin showed the highest inhibitory effect (lowest MIC values), its action was investigated on bacterial susceptibility over time, cell membrane, and biofilm formation.

Fig. 4.

Bacterial susceptibility to the antibiotics by determining the diameters of inhibition. Paenarthrobacter sp. MKAL1 (a), Hymenobacter sp. MKAL2 (b), Mycobacterium sp. MKAL3 (c), Stenotrophomonas sp. MKAL4 (d), Chryseobacterium sp. MKAL5 (e), Bacillus sp. MKAL6 (f). Ci, ciprofloxacin; Tr, trimethoprim.

Fig. 4.

Bacterial susceptibility to the antibiotics by determining the diameters of inhibition. Paenarthrobacter sp. MKAL1 (a), Hymenobacter sp. MKAL2 (b), Mycobacterium sp. MKAL3 (c), Stenotrophomonas sp. MKAL4 (d), Chryseobacterium sp. MKAL5 (e), Bacillus sp. MKAL6 (f). Ci, ciprofloxacin; Tr, trimethoprim.

Close modal
Table 3.

Bacterial susceptibility to antibiotics

AntibioticsDiameter of inhibition zones, mm
MKAL1MKAL2MKAL3MKAL4MKAL5MKAL6
Ampi 32.0±2.0 21.3±0.5 24.3±1.1 26.6±1.1 31.0±1.7 33.3±1.5 
Novo 27.0±3.6 9.6±0.5 20.3±2.0 29.3±1.1 33.6±1.1 27.6±1.1 
Baci 11.6±1.5 0.0±0.0 8.3±0.5 9.6±0.5 16.6±3.0 12.3±0.5 
Tetra 22.6±0.5 10.1±0.2 18.3±1.1 21.0±2.6 36.0±0.0 21.0±0.0 
Eryt 30.6±1.1 31.6±2.5 30.3±0.5 35.8±0.2 26.3±0.5 30.6±0.5 
Chlor 25.3±0.5 30.0±1.7 27.3±2.0 35.6±0.5 38.6±1.5 34.3±0.5 
Peni 27.3±2.5 29.6±2.0 21.3±0.5 31.0±1.0 30.3±0.5 32.3±0.5 
Linco 8.0±0.0 10.0±0.0 0.0±0.0 18.6±0.5 13.0±1.7 8.3±0.5 
Phleo 15.1±1.0 17.6±1.5 18.0±1.0 18.3±0.2 19.3±1.5 18.0±1.0 
Kana 16.3±0.5 17.0±1.0 16.6±0.5 17.6±0.5 14.3±1.1 15.3±0.5 
Trime 30.6±1.1 32.3±0.5 31.6±1.5 29.6±0.5 35.0±1.0 33.0±2.6 
Cipro 26.0±1.7 29.0±1.0 25.6±0.5 25.1±0.2 33.0±1.0 25.6±0.5 
AntibioticsDiameter of inhibition zones, mm
MKAL1MKAL2MKAL3MKAL4MKAL5MKAL6
Ampi 32.0±2.0 21.3±0.5 24.3±1.1 26.6±1.1 31.0±1.7 33.3±1.5 
Novo 27.0±3.6 9.6±0.5 20.3±2.0 29.3±1.1 33.6±1.1 27.6±1.1 
Baci 11.6±1.5 0.0±0.0 8.3±0.5 9.6±0.5 16.6±3.0 12.3±0.5 
Tetra 22.6±0.5 10.1±0.2 18.3±1.1 21.0±2.6 36.0±0.0 21.0±0.0 
Eryt 30.6±1.1 31.6±2.5 30.3±0.5 35.8±0.2 26.3±0.5 30.6±0.5 
Chlor 25.3±0.5 30.0±1.7 27.3±2.0 35.6±0.5 38.6±1.5 34.3±0.5 
Peni 27.3±2.5 29.6±2.0 21.3±0.5 31.0±1.0 30.3±0.5 32.3±0.5 
Linco 8.0±0.0 10.0±0.0 0.0±0.0 18.6±0.5 13.0±1.7 8.3±0.5 
Phleo 15.1±1.0 17.6±1.5 18.0±1.0 18.3±0.2 19.3±1.5 18.0±1.0 
Kana 16.3±0.5 17.0±1.0 16.6±0.5 17.6±0.5 14.3±1.1 15.3±0.5 
Trime 30.6±1.1 32.3±0.5 31.6±1.5 29.6±0.5 35.0±1.0 33.0±2.6 
Cipro 26.0±1.7 29.0±1.0 25.6±0.5 25.1±0.2 33.0±1.0 25.6±0.5 

Ampi, ampicillin; Novo, novobiocin; Baci, bacitracin; Tetra, tetracyclin; Eryth, erythromycin; Chlor, chloramphenicol; Peni, penicillin; Linco, lincomycin; Phleo, phleomycin; Kana, kanamycin; Trime, trimethoprim; Cipro, ciprofloxacin; MKAL1, Paenarthrobacter sp. MKAL1; MKAL2, Hymenobacter sp. MKAL2; MKAL3, Mycobacterium sp. MKAL3; MKAL4, Stenotrophomonas sp. MKAL4; MKAL5, Chryseobacterium sp. MKAL5; MKAL6, Bacillus sp. MKAL6. Bacterial sensibility was interpreted as ampicillin: resistant (DI ≤11 mm), intermediate (12 ≤ DI <13), or susceptible (DI ≥14 mm); novobiocin: resistant (DI ≤12 mm), intermediate (13 ≤ DI <15), or susceptible (DI ≥16 mm); bacitracin: resistant (DI ≤6 mm), intermediate (7 ≤ DI <10), or susceptible (DI ≥11 mm); tetracycline: resistant (DI ≤14 mm), intermediate (15 ≤ DI <18), or susceptible (DI ≥19 mm); erythromycin: resistant (DI ≤13 mm), intermediate (14 ≤ DI <22), or susceptible (DI ≥23 mm); chloramphenicol: resistant (DI ≤12 mm), intermediate (13 ≤ DI <17), or susceptible (DI ≥18 mm); penicillin: resistant (DI ≤28 mm) or susceptible (DI ≥29 mm); lincomycin: resistant (DI ≤22 mm), intermediate (23 ≤ DI <25), or susceptible (DI ≥26 mm); kanamycin: resistant (DI ≤13 mm), intermediate (14 ≤ DI <17), or susceptible (DI ≥18 mm); trimethoprim: resistant (DI ≤10 mm), intermediate (11 ≤ DI <15), or susceptible (DI ≥16 mm); ciprofloxacin: resistant (DI ≤15 mm), intermediate (16 ≤ DI <20), or susceptible (DI ≥21 mm).

Table 4.

Minimum inhibition concentrations (MIC) of antibiotics

AntibioticMIC, µg/mL
MKAL1MKAL2MKAL3MKAL4MKAL5MKAL6
Ampicillin 128 64 128 0.5 16 
Chloramphenicol 
Ciprofloxacin 0.25 0.25 0.25 0.5 0.5 0.5 
Trimethoprim 0.25 0.5 0.5 0.5 0.5 0.5 
Kanamycin 512 256 512 512 256 
Lincomycin 32 32 128 64 32 64 
AntibioticMIC, µg/mL
MKAL1MKAL2MKAL3MKAL4MKAL5MKAL6
Ampicillin 128 64 128 0.5 16 
Chloramphenicol 
Ciprofloxacin 0.25 0.25 0.25 0.5 0.5 0.5 
Trimethoprim 0.25 0.5 0.5 0.5 0.5 0.5 
Kanamycin 512 256 512 512 256 
Lincomycin 32 32 128 64 32 64 

MKAL1, Paenarthrobacter sp. MKAL1; MKAL2, Hymenobacter sp. MKAL2; MKAL3, Mycobacterium sp. MKAL3; MKAL4, Stenotrophomonas sp. MKAL4; MKAL5, Chryseobacterium sp. MKAL5; MKAL6, Bacillus sp. MKAL6.

Antibacterial Efficacy of Ciprofloxacin over Time

Ciprofloxacin was tested for antibacterial efficacy over time (24 h) at different concentrations (MIC, 2MIC, and 4MIC). The time-kill kinetics profile of ciprofloxacin against bacterial isolates showed a reduction in viable cell number over 24 h compared to the control (non-treated cells). The viable cell number decreased with increasing antibiotic concentrations. Ciprofloxacin exhibited the highest inhibitory effect against Chryseobacterium sp. MKAL5 and Bacillus sp. MKAL6 at the concentration of 4MIC. The overall effect of ciprofloxacin was bactericidal at all tested concentrations (Fig. 5).

Fig. 5.

Antibacterial efficacy testing of ciprofloxacin on Paenarthrobacter sp. MKAL1 (a), Hymenobacter sp. MKAL2 (b), Mycobacterium sp. MKAL3 (c), Stenotrophomonas sp. MKAL4 (d), Chryseobacterium sp. MKAL5 (e), and Bacillus sp. MKAL6 (f). Time intervals are as follows: 0, 2, 4, 6, 12, and 24 h. MIC, minimum inhibitory concentration.

Fig. 5.

Antibacterial efficacy testing of ciprofloxacin on Paenarthrobacter sp. MKAL1 (a), Hymenobacter sp. MKAL2 (b), Mycobacterium sp. MKAL3 (c), Stenotrophomonas sp. MKAL4 (d), Chryseobacterium sp. MKAL5 (e), and Bacillus sp. MKAL6 (f). Time intervals are as follows: 0, 2, 4, 6, 12, and 24 h. MIC, minimum inhibitory concentration.

Close modal

Effect of Ciprofloxacin on Cell Membrane and Biofilm Formation

The effect of ciprofloxacin on the bacterial cell membrane was performed by quantifying the release of UV-absorbing materials (OD260), an index of membrane integrity damage and loss. The results are presented in Figure 6a. After treatment with ciprofloxacin at MIC and 4MIC, a slight increase in OD was observed in Bacillus sp. (0.139–0.176 and 0.139–0.185), Chryseobacterium sp. (0.140–0.162 and 0.140–0.169), Paenarthrobacter sp. (0.144–0.174 and 0.144–0.177), and Mycobacterium sp. (0.140–0.165 and 0.140–0.184). However, no change in OD was observed in Hymenobacter sp. MKAL2 and Stenotrophomonas sp. MKAL4. The action of ciprofloxacin on bacterial cell membrane permeability is shown in Figure 6b. CV uptake significantly (p < 0.001) increased after treatment with ciprofloxacin at MIC and 4MIC in Stenotrophomonas sp. MKAL4 (62.06 and 62.87%), Chryseobacterium sp. MKAL5 (41.90 and 46.56%), and Bacillus sp. MKAL6 (50.43 and 52.89%) compared to untreated cells (23.87, 32.56, and 52.35%, respectively).

Fig. 6.

Effect of ciprofloxacin on the cell membrane of Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6. a Action on cell membrane integrity: absorbance measurement of intracellular components (DNA, RNA) at 260 nm after 1 h incubation. b Action on membrane permeability. ***p < 0.001 compared to untreated cells (Student-Newman-Keuls). MIC, minimum inhibitory concentration.

Fig. 6.

Effect of ciprofloxacin on the cell membrane of Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6. a Action on cell membrane integrity: absorbance measurement of intracellular components (DNA, RNA) at 260 nm after 1 h incubation. b Action on membrane permeability. ***p < 0.001 compared to untreated cells (Student-Newman-Keuls). MIC, minimum inhibitory concentration.

Close modal

Ciprofloxacin was tested for biofilm formation inhibition capability at different concentrations (8MIC–1/16MIC). Ciprofloxacin significantly (p < 0.001) inhibited the biofilm formation in Bacillus sp. (69.27–39.58%), Hymenobacter sp. (76.13–55.13%), Chryseobacterium sp. (96.98–75.96%), Paenarthrobacter sp. (71.90–38.75%), Mycobacterium sp. (80.07–60.38%), and Stenotrophomonas sp. (86.54–68.03%) (Fig. 7).

Fig. 7.

Effect of ciprofloxacin on biofilm formation in Paenarthrobacter sp. MKAL1 (a), Hymenobacter sp. MKAL2 (b), Mycobacterium sp. MKAL3 (c), Stenotrophomonas sp. MKAL4, (d), Chryseobacterium sp. MKAL5 (e), and Bacillus sp. MKAL6 (f). ***p < 0.001 compared to untreated cells (Student-Newman-Keuls). MIC, minimum inhibitory concentration.

Fig. 7.

Effect of ciprofloxacin on biofilm formation in Paenarthrobacter sp. MKAL1 (a), Hymenobacter sp. MKAL2 (b), Mycobacterium sp. MKAL3 (c), Stenotrophomonas sp. MKAL4, (d), Chryseobacterium sp. MKAL5 (e), and Bacillus sp. MKAL6 (f). ***p < 0.001 compared to untreated cells (Student-Newman-Keuls). MIC, minimum inhibitory concentration.

Close modal

Soil bacteria adhere to diverse surfaces and promote biofilm formation in a protective and self-produced matrix responsible for disease emergence and resurgence [Ning et al., 2021]. Thus, potential virulence factors, antibiotic and heavy metal resistance, solvent adhesion, and biofilm-forming capabilities in these strains were investigated.

Various enzymes such as hemolysins [Elliott et al., 1998], proteases [Ingmer and Brøndsted, 2009], and lipases [Jaeger et al., 1994] have been implicated in microbial virulence. In our study, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6 exhibited proteolytic activities. Hymenobacter sp. MKAL2, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6 showed lipase activity. No hemolytic properties were observed. The hemolytic activities of Bacillus [Dabiré et al., 2022], Chryseobacterium [Sud et al., 2020], Mycobacterium [Augenstreich et al., 2020], and Stenotrophomonas genera [Peters et al., 2020] were reported. However, only Bacillus sp. MKAL6 produced capsules. Although capsular structures can be adhesins for some bacteria, most capsules in pathogenesis protect bacteria against host immune mechanisms. The capsule production in Bacillus cereus and Bacillus anthracis is required for their virulence [Beesley et al., 2010; Baldwin, 2020].

Adherence is the first step in bacterial pathogenesis. It is related to the capacity for autoaggregation, hydrophobicity, and biofilm formation of bacterial cells. In autoaggregation, bacteria (same type) form multicellular clumps, generally mediated by self-recognizing surface structures such as capsules and proteins, leading to biofilm formation. Moreover, cell surface hydrophobicity increases microbial cell propensity to adhere to surfaces [Nwagu et al., 2020]. All strains showed high autoaggregation properties (18.13–59.95%) [Nwagu et al., 2020]. reported about 53.37% of autoaggregation in Bacillus cereus KY746353.1 isolated from Parkia biglobosa (traditional fermented African locust bean seeds), which was similar to the potential observed in Bacillus sp. MKAL6 (56.36%). However, the autoaggregation of Bacillus subtilis P223 isolated from Kimchi (Korean food) was 93.42% after 24 h of incubation [Jeon et al., 2017]. Manhar et al. [2015] reported that the highest autoaggregation potential of Bacillus amyloliquefaciens AMS1 isolated from traditional fermented soybean (Churpi) was 75.5% after 24 h [Benladghem et al., 2020]. revealed that Stenotrophomonas maltophilia could form cellular aggregates of 26.13% after 24 h, which was lower than that of Stenotrophomonas sp. MKAL4 (55.11%). The cell hydrophobicity varied with the isolates tested. The differences in affinity may be due to the capsular material, appendages on the cell surface or composition, and content of different LPSs [Ning et al., 2021]. Bacillus sp. MKAL6 exhibited a strong hydrophobicity for ethyl acetate (58.16%) and moderate hydrophobicity for chloroform. This indicates that this bacterial strain had an affinity for electron acceptance (ethyl acetate) and electron donation (chloroform). The hydrophobicity capabilities of Bacillus sp. in this study were comparatively lower than those reported by Kuebutornye et al. [2020]. Also, Amenyogbe et al. [2021] revealed the adhesion of Bacillus sp. RCS1 (97.2%) and Bacillus cereus (97.1%) isolated from Cobia fish (Rachycentron canadum) to xylene, chloroform, and ethyl acetate were strong. Paenarthrobacter sp. MKAL1, Hymenobacter sp. MKAL2, Mycobacterium sp. MKAL3, Stenotrophomonas sp. MKAL4, and Bacillus sp. MKAL6 showed strong biofilm-forming capacity, while Chryseobacterium sp. MKAL5 displayed moderate ability. Many investigators revealed the biofilm-forming ability of these bacteria species [Esteban and García-Coca, 2018; Kim et al., 2020; Bostanghadiri et al., 2021; Sornchuer et al., 2022]. Bacillus sp. MKAL6, which exhibited higher hydrophobic ability, adhered more to polystyrene. It was reported that bacteria with high hydrophobic surface affinity displayed a high biofilm-forming ability [Ning et al., 2021].

The autoaggregation and biofilm formation confer antimicrobial and heavy metal resistance, contributing to the metabolic cooperation, production of virulence factors, survival, and persistence in some niches or hosts. Also, multiple antibiotic resistances are associated with resistance/tolerance to heavy metals in soil bacteria. For different genera, the genes for heavy metal resistance are often plasmid encoded. Since these genes are clustered on the same plasmids, heavy metals and antibiotics are environmental factors which exert selective pressure on the populations of these plasmid-harboring bacteria [Lodha et al., 2022]. Except for Stenotrophomonas sp. MKAL4, all strains tolerated a large amount of chromium, lead, zinc, nickel, and manganese. Many bacteria isolated from diverse sources, such as Bacillus sp. [Glibota et al., 2020; Nath et al., 2020; Alotaibi et al., 2021], Stenotrophomonas sp. [Agarwal et al., 2019; Nath et al., 2020], Chryseobacterium sp. [Glibota et al., 2020], Arthrobacter sp. [Pathak et al., 2020], and Mycobacterium sp. [Sepehri et al., 2017] were reported to tolerate high levels of heavy metals and have heavy metal resistance genes. All strains exhibited variable susceptibilities to antibiotics. Hymenobacter sp. MKAL2 was resistant to novobiocin, bacitracin, and tetracycline. Kang et al. [2018] showed that Hymenobacter defluvii, isolated from wastewater, was resistant to amikacin (30 μg), gentamicin (10 μg), and kanamycin (30 μg). Ciprofloxacin showed bactericidal effects against bacterial strains by reducing viable cell numbers over 24 h at all tested concentrations. However, Grillon et al. [2016] showed that ciprofloxacin exhibited a bacteriostatic effect on some Stenotrophomonas maltophilia up to 6 h, followed by a regrowth at 24 h. Ciprofloxacin slightly increased the release of UV-absorbing materials in Paenarthrobacter sp. MKAL1, Mycobacterium sp. MKAL3, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6 at the concentrations of MIC and 4MIC. This suggests that ciprofloxacin weakly damaged the cytoplasmic membrane resulting in low leakage of bacterial isolates intracellular constituents (proteins and nucleic acids). However, no change in OD was observed in Hymenobacter sp. MKAL2 and Stenotrophomonas sp. MKAL4, indicating that ciprofloxacin did not affect the membrane integrity of these isolates. CV uptake significantly increased after treatment with ciprofloxacin at MIC and 4MIC in Stenotrophomonas sp. MKAL4, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6. The increase in CV uptake might be attributed to the change in permeability and structure of the bacterial cell wall layer [Seukep et al., 2020]. Ciprofloxacin significantly inhibited biofilm formation in all bacterial strains. The potential of ciprofloxacin to reduce biofilm formation was reported [Kwiecińska-Piróg et al., 2013].

The findings of this study indicate that isolated bacteria species from soil exhibited some virulence factors. Hymenobacter sp. MKAL2, Chryseobacterium sp. MKAL5, and Bacillus sp. MKAL6 showed protease and lipase activities, while only Bacillus sp. MKAL6 produced capsules. All strains could aggregate, form biofilm, and adhere to organic solvents. All strains tolerated a high amount of chromium, lead, zinc, nickel, and manganese and were resistant to lincomycin. Although the phenotypic evaluation of virulence factors of bacteria can indicate their pathogenic nature, an in-depth genetic study of virulence, antibiotic and heavy metal resistance genes is required.

The authors sincerely thank all faculty members who directly or indirectly helped complete this research.

Ethical approval is not required for this study in accordance with local or national guidelines.

The authors have no conflict of interest to declare.

This project was supported by the Natural Science and Engineering Research Council of Canada (NSERC) Discovery Grant (RGPIN-2017-05366) to W.Q.

W.Q., C.C.X., Z.H.J., and A.L.M.K. contributed to the study conception and experimental design. A.L.M.K. carried out the material preparation and data collection, curation, and analysis. The manuscript draft was initially written by A.L.M.K. and edited by C.C., J.R.K., S.S., X.C., Y.Z., R.A.N.N., G.A.A., Z.H.J., C.C.X., and W.Q. W.Q. provided supervision and project administration. All authors have read and approved the final version of the manuscript.

The datasets generated during and analyzed during the current study are not publicly available for ethical reasons. Further inquiries can be directed to the corresponding author via email.

1.
Abbott
IJ
,
Slavin
MA
,
Turnidge
JD
,
Thursky
KA
,
Worth
LJ
.
Stenotrophomonas maltophilia: emerging disease patterns and challenges for treatment
.
Expert Rev Anti Infect Ther
.
2011 Apr
9
4
471
88
.
2.
Agarwal
M
,
Rathore
RS
,
Jagoe
C
,
Chauhan
A
.
Multiple lines of evidences reveal mechanisms underpinning mercury resistance and volatilization by Stenotrophomonas sp. MA5 isolated from the Savannah River Site (SRS)
.
Cells
.
2019 Apr 3
8
4
309
.
3.
Alotaibi
BS
,
Khan
M
,
Shamim
S
.
Unraveling the underlying heavy metal detoxification mechanisms of Bacillus Species
.
Microorganisms
.
2021 Jul 30
9
8
1628
.
4.
Amenyogbe
E
,
Huang
JS
,
Chen
G
,
Wang
WZ
.
Probiotic potential of indigenous (Bacillus sp. RCS1, Pantoea agglomerans RCS2, and Bacillus cereus strain RCS3) isolated from cobia fish (Rachycentron canadum) and their antagonistic effects on the growth of pathogenic Vibrio alginolyticus, Vibrio harveyi, Streptococcus iniae, and Streptococcus agalactiae
.
Front Mar Sci
.
2021 May 17
8
672213
.
5.
Augenstreich
J
,
Haanappel
E
,
Sayes
F
,
Simeone
R
,
Guillet
V
,
Mazeres
S
.
Phthiocerol Dimycocerosates from Mycobacterium tuberculosis increase the membrane activity of bacterial effectors and host receptors
.
Front Cel Infect Microbiol
.
2020 Aug 14
10
420
.
6.
Baldwin
VM
.
You can’t B. cereus: a review of Bacillus cereus strains that cause anthrax-like disease
.
Front Microbiol
.
2020 Aug 19
11
1731
.
7.
Beesley
CA
,
Vanner
CL
,
Helsel
LO
,
Gee
JE
,
Hoffmaster
AR
.
Identification and characterization of clinical Bacillus spp. isolates phenotypically similar to Bacillus anthracis
.
FEMS Microbiol Lett
.
2010 Dec
313
1
47
53
.
8.
Benladghem
Z
,
Seddiki
SML
,
Mahdad
YM
.
Identification of bacterial biofilms on desalination reverse osmosis membranes from the mediterranean sea
.
Biofouling
.
2020 Oct
36
9
1065
73
.
9.
Borghi
E
,
Sciota
R
,
Biassoni
C
,
Cirasola
D
,
Cappelletti
L
,
Vizzini
L
.
Cell surface hydrophobicity: a predictor of biofilm production in Candida isolates
.
J Med Microbiol
.
2011 May
60
Pt 5
689
90
.
10.
Bostanghadiri
N
,
Ardebili
A
,
Ghalavand
Z
,
Teymouri
S
,
Mirzarazi
M
,
Goudarzi
M
.
Antibiotic resistance, biofilm formation, and biofilm-associated genes among Stenotrophomonas maltophilia clinical isolates
.
BMC Res Notes
.
2021 Apr 20
14
1
151
.
11.
Brooke
JS
.
Stenotrophomonas maltophilia: an emerging global opportunistic pathogen
.
Clin Microbiol Rev
.
2012 Jan
25
1
2
41
.
12.
Chaieb
K
,
Zmantar
T
,
Souiden
Y
,
Mahdouani
K
,
Bakhrouf
A
.
XTT assay for evaluating the effect of alcohols, hydrogen peroxide and benzalkonium chloride on biofilm formation of Staphylococcus epidermidis
.
Microb Pathog
.
2011 Jan
50
1
1
5
.
13.
CLSI
Reference method for broth dilution antifungal susceptibility testing of yeasts: CLSI guideline M27 and A3
4rd ed
Wayne PA
Clinical and Laboratory Standards Instituts
2008
.
14.
Dabiré
Y
,
Somda
NS
,
Somda
MK
,
Mogmenga
I
,
Traoré
AK
,
Ezeogu
LI
.
Molecular identification and safety assessment of Bacillus strains isolated from Burkinabe traditional condiment “soumbala”
.
Ann Microbiol
.
2022 Mar 13
72
1
10
.
15.
Devi
KP
,
Nisha
SA
,
Sakthivel
R
,
Pandian
SK
.
Eugenol (an essential oil of clove) acts as an antibacterial agent against Salmonella typhi by disrupting the cellular membrane
.
J Ethnopharmacol
.
2010 Jul 6
130
1
107
15
.
16.
Elliott
SJ
,
Srinivas
S
,
Albert
MJ
,
Alam
K
,
Robins-Browne
RM
,
Gunzburg
ST
.
Characterization of the roles of hemolysin and other toxins in enteropathy caused by alpha-hemolytic Escherichia coli linked to human diarrhea
.
Infect Immun
.
1998 May
66
5
2040
51
.
17.
Escamilla-Montes
R
,
Luna-González
A
,
Flores-Miranda
M
,
del
C
,
Álvarez-Ruiz
P
,
Fierro-Coronado
JA
.
Isolation and characterization of potential probiotic bacteria suitable for mollusk larvae cultures
.
Thai J Vet Med
.
2015 Mar
45
1
11
21
.
18.
Esteban
J
,
García-Coca
M
.
Mycobacterium biofilms
.
Front Microbiol
.
2018 Jan 18
8
2651
.
19.
Glibota
N
,
Grande
MJ
,
Galvez
A
,
Ortega
E
.
Genetic determinants for metal tolerance and antimicrobial resistance detected in bacteria isolated from soils of olive tree farms
.
Antibiot
.
2020 Aug 3
9
8
476
.
20.
Grillon
A
,
Schramm
F
,
Kleinberg
M
,
Jehl
F
.
Comparative activity of ciprofloxacin, levofloxacin and moxifloxacin against Klebsiella pneumoniae, Pseudomonas aeruginosa and Stenotrophomonas maltophilia assessed by minimum inhibitory concentrations and time-kill studies
.
PLoS One
.
2016 Jun 3
11
6
e0156690
.
21.
Ingmer
H
,
Brøndsted
L
.
Proteases in bacterial pathogenesis
.
Res Microbiol
.
2009 Nov
160
9
704
10
.
22.
Jaeger
KE
,
Ransac
S
,
Dijkstra
BW
,
Colson
C
,
van Heuvel
M
,
Misset
O
.
Bacterial lipases
.
FEMS Microbiol Rev
.
1994 Sept
15
1
29
63
.
23.
Jeon
HL
,
Lee
NK
,
Yang
SJ
,
Kim
WS
,
Paik
HD
.
Probiotic characterization of Bacillus subtilis P223 isolated from Kimchi
.
Food Sci Biotechnol
.
2017 Jul 13
26
6
1641
8
.
24.
Kalidasan
V
,
Joseph
N
,
Kumar
S
,
Awang Hamat
R
,
Neela
VK
.
Iron and virulence in Stenotrophomonas Maltophilia: all we know so far
.
Front Cel Infect Microbiol
.
2018 Nov 12
8
401
.
25.
Kang
JW
,
Choi
S
,
Choe
HN
,
Seong
CN
.
Hymenobacter defluvii sp. nov., isolated from wastewater of an acidic water neutralization facility
.
Int J Syst Evol Microbiol
.
2018 Jan
68
1
277
82
.
26.
Kim
SG
,
Giri
SS
,
Kim
SW
,
Kwon
J
,
Lee
SB
,
Park
SC
.
First isolation and characterization of Chryseobacterium cucumeris SKNUCL01, isolated from diseased pond loach (Misgurnus anguillicaudatus) in Korea
.
Pathogens
.
2020 May 21
9
5
397
.
27.
Kuebutornye
FKA
,
Lu
Y
,
Abarike
ED
,
Wang
Z
,
Li
Y
,
Sakyi
ME
.
In vitro Assessment of the probiotic characteristics of three Bacillus species from the gut of nile tilapia, Oreochromis niloticus
.
Probiotics Antimicrob Proteins
.
2020 Jun
12
2
412
24
.
28.
Kwiecińska-Piróg
J
,
Skowron
K
,
Zniszczol
K
,
Gospodarek
E
.
The assessment of Proteus mirabilis susceptibility to ceftazidime and ciprofloxacin and the impact of these antibiotics at subinhibitory concentrations on Proteus mirabilis biofilms
.
BioMed Res Int
.
2013 Sep 12
2013
930876
.
29.
Lamari
F
,
Khouadja
S
,
Rtimi
S
.
Interaction of vibrio to biotic and abiotic surfaces: relationship between hydrophobicity, cell Adherence, biofilm production, and cytotoxic activity
.
Surfaces
.
2018 Dec 19
1
1
187
201
.
30.
Lodha
D
,
Karolia
R
,
Sharma
S
,
Joseph
J
,
Das
T
,
Dave
VP
.
Biofilm formation and its effect on the management of culture-positive bacterial endophthalmitis
.
Indian J Ophthalmol
.
2022 Feb
70
2
472
6
.
31.
Ly
A
,
Liu
J
.
Mycobacterial virulence factors: surface-exposed lipids and secreted proteins
.
Int J Mol Sci
.
2020 Jun 2
21
11
3985
.
32.
Manhar
AK
,
Saikia
D
,
Bashir
Y
,
Mech
RK
,
Nath
D
,
Konwar
BK
.
In vitro evaluation of celluloytic Bacillus amyloliquefaciens AMS1 isolated from traditional fermented soybean (Churpi) as an animal probiotic
.
Res Vet Sci
.
2015 Apr
99
149
56
.
33.
Marzan
LW
,
Hossain
M
,
Mina
SA
,
Akter
Y
,
Chowdhury
AMA
.
Isolation and biochemical characterization of heavy-metal resistant bacteria from tannery effluent in Chittagong city, Bangladesh: bioremediation viewpoint
.
Egypt J Aquat Res
.
2017 Mar
43
1
65
74
.
34.
Mbhele
ZN
,
Shobo
CO
,
Amoako
DG
,
Zishiri
OT
,
Bester
LA
.
Occurrence, antibiotic resistance, virulence factors, and genetic diversity of Bacillus spp. from Public Hospital Environments in South Africa
.
Microb Drug Resist
.
2021 Dec
27
12
1692
704
.
35.
Mogrovejo
DC
,
Perini
L
,
Gostinčar
C
,
Sepčić
K
,
Turk
M
,
Ambrožič-Avguštin
J
.
Prevalence of antimicrobial resistance and hemolytic phenotypes in culturable arctic bacteria
.
Front Microbiol
.
2020 Apr 3
11
570
.
36.
Mokale Kognou
AL
,
Chio
C
,
Khatiwada
JR
,
Shrestha
S
,
Chen
X
,
Li
H
.
Characterization of glucose isomerase-producing bacteria and optimization of fermentation conditions for producing glucose isomerase using biomass
.
Green Chem Eng
.
2022a
37.
Mokale Kognou
AL
,
Chio
C
,
Khatiwada
JR
,
Shrestha
S
,
Chen
X
,
Han
S
.
Characterization of cellulose-degrading bacteria isolated from soil and the optimization of their culture conditions for cellulase production
.
Appl Biochem Biotechnol
.
2022b
194
11
5060
82
.
38.
Mwanza
EP
,
Hugo
A
,
Charimba
G
,
Hugo
CJ
.
Pathogenic potential and control of Chryseobacterium species from clinical, fish, food and environmental sources
.
Microorganisms
.
2022 Apr 25
10
5
895
.
39.
Nath
S
,
Sinha
A
,
Singha
YS
,
Dey
A
,
Bhattacharjee
N
,
Deb
B
.
Prevalence of antibiotic-resistant, toxic metal-tolerant and biofilm-forming bacteria in hospital surroundings
.
Environ Anal Health Toxicol
.
2020 Sep
35
3
e2020018
.
40.
Ning
Z
,
Xue
B
,
Wang
H
.
Evaluation of the adhesive potential of bacteria isolated frommeat-related sources
.
Appl Sci
.
2021 Nov 12
11
22
10652
.
41.
Nowak
J
,
Cruz
CD
,
Palmer
J
,
Fletcher
GC
,
Flint
S
.
Biofilm formation of the L.monocytogenes strain 15G01 is influenced by changes in environmental conditions
.
J Microbiol Methods
.
2015 Dec
119
189
95
.
42.
Nwagu
TN
,
Ugwuodo
CJ
,
Onwosi
CO
,
Inyima
O
,
Uchendu
OC
,
Akpuru
C
.
Evaluation of the probiotic attributes of Bacillus strains isolated from traditional fermented African locust bean seeds (Parkia biglobosa), “daddawa”
.
Ann Microbiol
.
2020 April 30
70
1
20
.
43.
Odeyemi
OA
,
Abdullah Sani
N
.
Antibiotic resistance, putative virulence factors and curli fimbrination among Cronobacter species
.
Microb Pathog
.
2019 Nov
136
103665
.
44.
Pathak
A
,
Jaswal
R
,
Chauhan
A
.
Genomic characterization of a mercury resistant Arthrobacter sp. H-02-3 reveals the presence of heavy metal and antibiotic resistance determinants
.
Front Microbiol
.
2020 Jan 17
10
3039
.
45.
Peters
DL
,
McCutcheon
JG
,
Dennis
JJ
.
Characterization of novel broad-host-range bacteriophage DLP3 specific to Stenotrophomonas maltophilia as a potential therapeutic agent
.
Front Microbiol
.
2020 Jun 24
11
1358
.
46.
Rhen
M
.
Salmonella and Reactive oxygen species: a love-hate relationship
.
J Innate Immun
.
2019
;
11
(
3
):
216
26
.
47.
Sepehri
Z
,
Mirzaei
N
,
Sargazi
A
,
Sargazi
A
,
Mishkar
AP
,
Kiani
Z
.
Essential and toxic metals in serum of individuals with active pulmonary tuberculosis in an endemic region
.
J Clin Tuberc Other Mycobact Dis
.
2017 Jan 23
6
8
13
.
48.
Seukep
AJ
,
Fan
M
,
Sarker
SD
,
Kuete
V
,
Guo
MQ
.
Plukenetia huayllabambana Fruits: analysis of bioactive compounds, antibacterial activity and relative action mechanisms
.
Plants
.
2020 Aug 28
9
9
1111
.
49.
Sornchuer
P
,
Saninjuk
K
,
Prathaphan
P
,
Tiengtip
R
,
Wattanaphansak
S
.
Antimicrobial susceptibility profile and whole-genome analysis of a strong biofilm-forming Bacillus Sp. B87 strain isolated from food
.
Microorganisms
.
2022 Jan 23
10
2
252
.
50.
Sud
A
,
Chaudhary
M
,
Baveja
CP
,
Pandey
PN
.
Rare case of meningitis due to an emerging pathogen Chryseobacterium indologenes
.
SAGE Open Med Case Rep
.
2020 Jun 26
8
2050313X2093609
.
51.
Tsuji
BT
,
Yang
JC
,
Forrest
A
,
Kelchlin
PA
,
Smith
PF
.
In vitro pharmacodynamics of novel rifamycin ABI-0043 against Staphylococcus aureus
.
J Antimicrob Chemother
.
2008 Jul
62
1
156
60
.
52.
Yang
C
,
Zhao
Y
,
Cao
W
,
Xing
M
,
Xu
X
,
Wang
Z
.
Metagenomic analysis reveals antibiotic resistance genes and virulence factors in the saline-alkali soils from the yellow river delta, China
.
Environ Res
.
2022 Nov
214
Pt 2
113823
.