SYNERGISTIC AND ANTAGONISTIC EFFECTS ON ANTIMICROBIAL PROPERTIES OF ORGANIC AND AQUEOUS EXTRACTS OF BACILLUS CLAUSII KP10 IN COMBINATION WITH CONVENTIONAL ANTIBIOTICS
S. Kabeer and Z. Mushtaq*
Bioactive Molecules Research Lab (BMRL), Department of Biochemistry, University of Agriculture, Faisalabad, Pakistan, 38040
*Corresponding Email: zahidmushtaquaf@uaf.edu.pk
ABSTRACT
Due to emergence of multidrug resistance, alternative approaches are practiced and needed in conventional antimicrobial therapies. Drug combination therapies have been used like synergism for better results with decreased drug dosage to avoid toxicity than monotherapy, but results can be additive and antagonistic depending on their combined effect. The present project was therefore designed to assess the effects of already reported bioactive fractions of B.clausii KP10 with each other and with antibiotics in synergistic manner to combat microbes.
Different solvents were used for the extraction and fractionations. Antimicrobial activities were performed against different available bacterial and fungal strains. In our experiments crude methanolic extract (CME), n-hexane fraction (n-HF), chloroform (CLF), ethyl acetate (EAF), Methanol Soluble (MSF) and water soluble fractions (WSF) were obtained and then combinations of each were prepared with (1:1, v/v) each other and with reported antibacterial and antifungal drugs streptomycin (STM) and Terbinafine (TER) separately (1:1:1). Single extract with drug combination was also prepared (1:1). Maximum zone of inhibition was shown by combination of n-HEF:MSF (24 mm) against S. aureus. CLF:WSF:STM showed maximum ZOI (37.2 mm) against E. coli. WSF: STM showed maximum ZOI (33 mm) against S. aureus. Maximum antifungal activity was shown by CME:WSF:TER (26 mm) and EAF:TER with maximum ZOI (17 mm) against Fusarium solani. n-HEF:EAF:TER showed maximum ZOI (18 mm) against Aspergillus niger. Combination of extracts with each other usually showed antagonistic behavior but extracts with standard drugs have shown synergy which could be a better approach in the development of antimicrobials therapies.
Keywords: Antagonistic, Antimicrobial, Bacillus clausii KP10, Bioactive compounds, Synergistic.
https://doi.org/10.36899/JAPS.2023.1.0603
Published first online September 20, 2022
INTRODUCTION
Infectious diseases caused by bacteria and fungi affect millions of people worldwide.The condition is getting worst day-by-day due to rapid evolution of multidrug-resistant microbes, bacteria have a multitude of mechanisms by which they can rapidly acquire resistance (Buroni et al., 2019).Therefore, new approaches are needed to combat infective microbes and overcome their microbial resistance (Martins et al., 2020). Gram positive bacteria such as Staphylococcus aureus are mainly responsible for toxic shock syndrome, post-operative wound infections, endocarditis, pneumonia, food poisoning and osteomyelitis (Benayacheet al., 2001). Bacillussubtilis cause anthrax infections to human (La Jeon et al., 2012). Gram negative bacteria such as Pasteurella multocida are often associated with chronic as well as acute infections in both animals and humans (Harper et al., 2006). In intestine of human Escherichia coli is present and causes the infection of lower urinary tract, septicaemia or coleocystis. (Benhassaini et al., 2003). Fungi can also cause many diseases to plants and humans (Panackal et al., 2006). For example, A. niger cause invasive diseases associated with otomycosis and other infections to human (Araiza et al., 2006), A. niger also caused Black mold disease on certain fruits and vegetables such as onions, grapes and peanuts (Moghtader, 2013). Fusarium solaniis the main causative agent in 37%–50% of fungal keratitis cases. Onychomycosis is another human infection with a high mortality rate caused by Fusarium fungi (Monod and Mehul, 2019), also caused localized infections in skin and other parts of body (Gupta et al., 2000).
Resistance of multidrug in the human pathogenic microbes has been developed as a result of indiscriminate usage of antimicrobial drugs that are mostly used to treat infectious diseases. Resistance of antibiotic is caused by a multi-factorial reasons, including the specific nature of relationship of the microbes to antibiotics & also usage of antimicrobial agent, host characteristics and environmental factors (Xieet al., 2009). This alarming situation has convinced scientists to find out new antimicrobial agents from different sources as novel antimicrobial chemotherapeutic agents. One of the leading approach is to control these infectious diseases without side effects is use of some specific types of bacteria which are capable of producing bioactive compounds that can help to cure diseases such as probiotics (Xieet al., 2009). Bacteria produce biologically active compounds against other bacteria and fungi that acts against the specific physiological conditions of a diseased body as antimicrobial agents. Bacillus genus is well known for producing the bioactive compounds that work as antimicrobial agents. Compounds like bacteriocins and bacteriocin like inhibitory compounds are synthesized ribosomally antimicrobial peptides which are formed by different bacteria which are mostly effective against species that are closely related too (Riley and Wertz 2002; Cherif et al., 2003;Abriouelet al., 2011).
In clinical practice, antimicrobial combination therapy is one of the leading novel advances to combat resistance of microbes (Lambert, 2000; Hemaiswarya et al., 2008; Van Vuurenet al., 2009). Combination therapy has stimulated renewed interest in recent years with major safety concerns. For example, combinations of gentamicin and chloramphenicol could be enhanced by use of the plant materials against Methicillin resistant Staphylococcus aureus (MRSA) (Darwish et al., 2002; Lu and Di, 2020). The most common reasons of combination therapy usage are to reduce the emergence of resistance in strains to minimize toxicity by lowering the dose of toxic drug, treat poly-microbial infection and also increase killing or inhibition of resistance in organisms to appropriate doses of single antimicrobial compound (Rahal, 1978; King et al., 1981).
Therefore, the purpose of present work was to determine the antimicrobial effects of already reported bioactive fractions of B. clausii KP10 with each other and in combination with standard drugs to find out the possible synergistic or antagonistic effects of the combination for the development an improved antimicrobial therapy.
MATERIALS AND METHODS
Experimental work was conducted in August 2019 in Bioactive Molecules Research Laboratory (BMRL), Department of Biochemistry, University of Agriculture, Faisalabad, Pakistan.
Culturing of bacteria and extraction: Bacillus clausii KP10 isolated previously by our research group (Erum et al., 2017), that was used in this experiment as source of bioactive extracts. Nutrient agar and broth (MERCK) were used for the growth of bacterial cultures (Muller et al., 2016). The medium of the pH was maintained at 10 with 0.1 N HCl / NaOH before sterilization. The medium was autoclaved at 121 °C for 20 minutes at 15psi pressure. Bacterial culture was grown at the 40 °C for 24 hours for sporulation (Erum et al., 2017). Then cell mass of bacteria was obtained when centrifuged at 11963 ×g for 10 minutes. Bioactive fractions were obtained. For extraction of bioactive compounds different organic (n-hexane, chloroform, ethyl acetate and methanol) and aqueous solvents were used as described in literature (Nighat and Mushtaq, 2019; Nisa, 2011). Finally, carefully layers were separated then dried weighed and dissolved in Dimethyl sulfoxide and stored at 4 °C for bioactivities.
Working and stock solutions preparation: In distilled water streptomycin was dissolved and terbinafine was solubilized in Dimethyl sulfoxide to make 10 mg/mL final concentration and then stored at the 4 °C until use (Liu et al., 2015). For positive control streptomycin and terbinafine was also used with concentration of 50 mg/mL for antimicrobial activities. Combinations of extracts were prepared as follows 1:1 and 1:1:1 v/v as shown in the table 1.
Antimicrobial assay: Antimicrobial assays of extracts of each combination were checked against certain gram-negative bacteria (Pasteurellamultocida and Escherichia coli), gram-positive bacteria (Staphylococcusaureus and Bacillus subtilis) and also two fungal strains (Fusarium solani and Aspergillus niger) using well-diffusion method (Zaidan et al., 2005; Ahmad and Aqil, 2007).
Statistical analysis: The data was analyzed by one-way analysis of variance (ANOVA) and Tukey HSD’s multiple range test (p≤0.05) using the SPSS software to test significance of differences among mean values of samples for different combinations regarding bacterial and fungal strains.
Table 1. Combinations for the Evaluation of Synergistic and Antagonistic interaction of selected antibiotics with Bacillus clausii KP10 extracts/fractions.
Sample #
|
Combination I
(1:1)
|
Combination II
(1:1:1)
|
Combination III
(1:1)
|
1
|
CME:n-HEF
|
CME:n-HEF:+ve drugs
|
CME:+ve drugs
|
2
|
CME:CLF
|
CME:CLF:+ve drugs
|
n-HEF:+ve drugs
|
3
|
CME:EAF
|
CME:EAF:+ve drugs
|
CLF:+ve drugs
|
4
|
CME:MSF
|
CME:MSF:+ve drugs
|
EAF:+ve drugs
|
5
|
CME:WSF
|
CME:WSF:+ve drugs
|
MSF:+ve drugs
|
6
|
n-HEF:CLF
|
n-HEF:CLF:+ve drugs
|
WSF:+ve drugs
|
7
|
n-HEF:EAF
|
n-HEF:EAF:+ve drugs
|
|
8
|
n-HEF:MSF
|
n-HEF:MSF:+ve drugs
|
|
9
|
n-HEF:WSF
|
n-HEF:WSF:+ve drugs
|
|
10
|
CLF:EAF
|
CLF:EAF:+ve drugs
|
|
11
|
CLF:MSF
|
CLF:MSF:+ve drugs
|
|
12
|
CLF:WSF
|
CLF:WSF:+ve drugs
|
|
13
|
EAF:MSF
|
EAF:MSF:+ve drugs
|
|
14
|
EAF:WSF
|
EAF:WSF:+ve drugs
|
|
15
|
MSF:WSF
|
MSF:WSF:+ve drugs
|
|
CME:Crude Methanolic Extract, n-HF:n-Hexane Fraction, CF:Chloroform Fraction, EAF:Ethyl acetate Fraction, MSF:Methanol Soluble Fraction, WSF:Water Soluble Fraction, +ve drugs= streptomycin (STM), Terbinafine (TER).
Antimicrobial activities were performed by well diffusion method with the help of using above mentioned combinations (table1).
RESULTS AND DISCUSSION
Combination drug therapy has been shown to delay the emergence of microbial resistance and could also produce beneficial effects in treatment of microbial infections. Synergism of drug with bioactive microbial extracts and with known antibiotics is a modern concept and it could be advantageous (additive or synergistic interaction) or may be deleterious (toxic or antagonistic outcome) (Gibbon, 2004). Bioactive compounds can be good option when used concurrently with the standard drugs, where they enhance the activity of the drug (Aiyegoro and Okoh, 2009). Pharmacological benefits were recorded in way when one drug is involved to clear infection from one part of the body while other drug clear it from different site (Williamson, 2001).
Drug interactions with microbial extracts have gained remarkable scientific interest (Ocampo et al., 2014; Yilancioglu et al., 2014). Therefore, antimicrobial assays of bioactive fractions of B. clausii KP10 with each other and with standard drugs were analyzed. Following fractions were obtained from the Bacillus clausii KP10 by using solvents such as methanol extract, n-hexane fraction, chloroform fraction, ethyl acetate fraction, methanol soluble fraction and water soluble fraction. Yields were 50, 100, 110, 113, 100 and 90 mg. All obtained extracts were then further diluted in the DMSO to a specific concentration.
According to our previous data published bioactive extracts of Bacillus clausii KP10 were bioactive in nature and effective against Escherichia coli, Pasteurella multocida, Bacillussubtilis andStaphylococcus aureus, but most effective against P.multocida. So they can be used as antibacterial and antifungal agents (Nighat and Mushtaq, 2019; Nighat et al., 2020). Bacillusclausii KP10 bioactive fractions have great potential as antimicrobials against different tested microorganisms. The results obtained from combination I as mentioned in materials and methods are summarized in Table 2 and Figure 1. CME:CLF showed maximum ZOI (11 mm) against P. multocida, CME:EAF showed maximum ZOI (22 mm) against E. coli and n-HEF:MSF showed highest antibacterial assay against the S. aureus with maximum ZOI (24 mm) recorded. Results of combination I shows that the interactions between organic and aqueous extracts were mostly antagonistic, when used with each other against selected bacterial and fungus strains. Antagonism occurs when one drug hinders another drug's effect (Johansen et al., 2000). Similar studies in literature showed that the combination of Ethyl acetate:Chloroform (1:1), Water:Methanol (1:1) and Methanol:Acetone (1:1) extracts of Trichophyton, Microsporum and Epidermophyton genera exhibited no synergistic activity with each other and showed antagonistic behavior in combination against all tested microorganisms (Koroishi et al., 2008). The results give clear evidence that antimicrobial assay of organic and aqueous extracts of B. clausii KP10 is reduced when used in combination, but when the same extract of B. clausii KP10 used concurrently with standard drug streptomycin (STM) they enhance the activity of the drug.
Table 2. Antimicrobial activities of combination I.
Sample #
|
Sample Name
|
S. aureus
|
B. subtilis
|
P. multocida
|
E. coli
|
F. solani
|
A. niger
|
Mean ZOI (mm)±S.D
|
Mean ZOI (mm)±S.D
|
Mean ZOI (mm)±S.D
|
Mean ZOI (mm)±S.D
|
Mean ZOI (mm)±S.D
|
Mean ZOI (mm)±S.D
|
1
|
CME:n-HEF
|
-
|
-
|
-
|
-
|
-
|
-
|
2
|
CME:CLF
|
-
|
-
|
11.76±1.1
|
-
|
-
|
-
|
3
|
CME:EAF
|
-
|
-
|
-
|
22.6±0.31
|
-
|
-
|
4
|
CME:MSF
|
-
|
-
|
-
|
16.2±0.26
|
-
|
-
|
5
|
CME:WSF
|
-
|
-
|
-
|
-
|
-
|
-
|
6
|
n-HEF:CLF
|
-
|
-
|
10.4±0.58
|
-
|
-
|
-
|
7
|
n-HEF:EAF
|
-
|
-
|
-
|
-
|
-
|
-
|
8
|
n-HEF:MSF
|
24.2±0.21
|
-
|
-
|
-
|
-
|
-
|
9
|
n-HEF:WSF
|
-
|
-
|
10.3±0.10
|
-
|
-
|
-
|
10
|
CLF:EAF
|
-
|
21±0.81
|
10.3±0.2
|
-
|
-
|
-
|
11
|
CLF:MSF
|
-
|
-
|
-
|
-
|
-
|
-
|
12
|
CLF:WSF
|
-
|
-
|
-
|
-
|
-
|
-
|
13
|
EAF:MSF
|
-
|
-
|
-
|
-
|
-
|
-
|
14
|
EAF:WSF
|
-
|
18.0±0
|
-
|
-
|
-
|
-
|
15
|
MSF:WSF
|
17.7±0.3
|
-
|
-
|
-
|
-
|
-
|
16
|
+ve
|
48±0.29
|
48±0.29
|
48±0.29
|
48±0.29
|
28±0.18
|
27±0.01
|
*Results are expressed as mean (ZOI)±S.D.
______________________________________________________________________________
Fig. 1.Antimicrobial activities of combination I (1:1) by well diffusion method. Sample 3 showed maximum inhibition zone 22 mm against E. coli and sample 8 showed 24 mm against S. aureus. For positive control streptomycin was used that showed 48 mm ZOI. No antifungal activities was observed against Aspergillus niger and Fusarium solani except +ve control. Each experiment performed in triplicate.
Antibacterial activities of combination II and III
In our experiments we checked both combinations single extract of B. clausii with antibiotic and also combined extract of B. clausii KP10 with standard antibiotic streptomycin as shown in combination II and III. We conclude that the combined effects with streptomycin was almost equal in general behavior in both combinations. Combinations showed promising synergistic results and antagonistic interactions were not observed with streptomycin. These results were further confirmed by measuring the zone of inhibition (Figure: 2a, 2b and 3) which showed that the highest synergism was observed in the combination of CLF:WSF:STM (1:1:1) against E. coli maximum inhibition zone were recorded (37 mm). CLF:STM showed maximum ZOI (34 mm) against E. coli, WSF:STM showed maximum ZOI (33 mm), CLF:MSF:STM maximum ZOI (37 mm) against B. subtilis, WSF:STM showed maximum ZOI (34 mm) against S. aureus, CLF:STM showed maximum ZOI (31 mm), EAF:MSF:STM showed maximum ZOI (31 mm) against P. multocida.
Oliveira et al., (2011) studied synergistic effect of tetracycline, norfloxacin and erythromycin with ethanol extracts of Mangifera indica L. peel against the selected Staphylococcus aureus strains. Separate extracts did not have any beneficial antibacterial activities but when these extracts combined with antibiotics, significant synergistic effect was observed.
Fig 2 (a)
Fig 2 (b)
Fig. 2. Antibacterial activities of combination II (1:1:1).(a)Graphical representation of results: Each bar indicating data from three independent experimental replicates with standard error. Maximum antibacterial activity was shown by (CLF:WSF:STM) 37 mm against E. coli. (b) Well diffusion method’s Agar plates: Sample 13 showed maximum ZOI 31 mm against P. multocida, sample 11 showed 37 mm against B. subtilis and sample 12 showed 37 mm against E.coli. For positive control streptomycin was used that showed 32 mm ZOI averagely.
Fig. 3. Antibacterial activities of combination III (1:1). Sample 6 maximum ZOI 34 mm against S. aureus, sample 3 showed 34 mm against E. coli and sample 6 showed 33 mm ZOI against B. subtilis and Sample 3 showed maximum ZOI 31.6 mm against P. multocida.
Antifungal activities of combination II and III
Results obtained from single extract of B. clausii against Fusarium solani no antifungal activity was observed and also combination I exhibited no interaction against tested fungi aresummarized in table 2. But when the same combinations were used with standard Antifungal drug (1:1:1) in combination II and (1:1) in combination III as mentioned in materials and methodsthe activity was enhanced and showed synergistic effects in (1:1:1) mostly against Fusarium solani (CME:WSF:TER) showed maximum inhibition zone (26 mm) EAF:TER showed maximum ZOI (17 mm) against Fusarium solani. In some combinations we observed both results minor synergy in (CLF:TER) showed maximum ZOI (14 mm) but mostly additive/antagonistic effects against A. niger (Table 3) and (Fig 4a and Fig 4b). Advantages over monotherapy include increased fungal killing potency decreased resistant strains and reduced dose-related toxicity of the antifungal drugs (Vitale et al., 2005). Overall, our results proved that drug combinations that inhibit growth of one fungus but it may not be always suitable for other due to the potential differences towards drug combination and type of strains too.
Literature revealed that the combination of fluconazole with crude extracts of green tea showed no significant difference in zones of inhibition. Whereas crude extracts showed diminished activity with combination of fluconazole than with fluconazole alone activity. Result shows combination of crude extracts of green tea with conventional antifungal fluconazole showed antagonism along with minor synergy (Erolls et al., 2015).
4(a)
4(b)
Fig. 4. Antifungal activities of combination II (1:1:1).(a)Graphical representation of results:Each bar indicating data from three independent experimental replicates with standard error. Maximum activity was shown by sample 5 CME:WSF:TER showed maximum ZOI 26 mm against F. solani. (b) Well diffusion method’s Agar plates: Sample 5(1:1:1) showed maximum ZOI 26 mm against Fusarium solani and sample 7 showed 18 mm maximum ZOI against Aspergillus niger. Terbinafine was also used as positive control.
Table 3. Antimicrobial activities of combination III
Sr#
|
Sample Name
|
Bacterial strains
|
Fungal strains
|
S. aureus
|
B. subtilis
|
P. multocida
|
E. coli
|
F. solani
|
A. niger
|
Mean ZOI (mm)±S.D
|
Mean ZOI (mm)±S.D
|
Mean ZOI (mm)±S.D
|
Mean ZOI
(mm)±S.D
|
Mean ZOI
(mm)±S.D
|
Mean ZOI
(mm)±S.D
|
1
|
CME:+ve drug
|
32.5±0.98
|
32.3±0.94
|
30.9±0.82
|
31.3±0.43
|
15.4±0.7
|
-
|
2
|
n-HEF:+ve drug
|
31.6±0.95
|
31±1.6
|
31.0±0.8
|
30.0±0.82
|
14.3±0.3
|
-
|
3
|
CLF:+ve drugs
|
31.3±0.86
|
30.6±0.94
|
31.6±0.94
|
34.5±1.59
|
16.3 ± 0.2
|
14.3±0.3
|
4
|
EAF:+ve drug
|
32.2±0.82
|
32.3±0.4
|
31±0.93
|
29.6±0.57
|
17.3 ±0.4
|
-
|
5
|
MSF:+ve drug
|
32.5±0.62
|
32±0.81
|
30.3±1.24
|
33.3±0.32
|
11.2 ±0.1
|
-
|
6
|
WSF:+ve drug
|
34.4±0.93
|
33.6±0.94
|
30.6±0.94
|
30.9±.0.07
|
10.5 ±0.58
|
-
|
7
|
STM/TER
|
32.3±0.22
|
32.6±0.94
|
32.6±0.94
|
32.0±0.61.
|
28±0.28
|
28±0.28
|
*Results are expressed as mean (ZOI)±S.D, +ve control streptomycin (STM) for bacteria , Terbinafine (TER) for fungus.
Table 4. Analysis of variance (mean squares) for different strains regarding significance of
different samples.
Source of variation
|
Bacterial strains
|
Fungal strains
|
P. multocida
|
E. coli
|
S. aureus
|
B. subtilis
|
F. solani
|
A. niger
|
df
|
MS
|
df
|
MS
|
df
|
MS
|
df
|
MS
|
df
|
MS
|
df
|
MS
|
Samples
|
27
|
193.485**
|
25
|
87.388**
|
26
|
66.540**
|
25
|
78.582**
|
22
|
76.476**
|
6
|
129.944**
|
Error
|
56
|
0.477
|
52
|
0.305
|
51
|
0.328
|
52
|
0.458
|
46
|
0.083
|
14
|
0.023
|
Total
|
83
|
|
77
|
|
77
|
|
77
|
|
68
|
|
20
|
|
NS = Non-significant (P>0.05); * = Significant (P<0.05); ** = Highly significant (P<0.01)
df = Degree of freedom; MS = Mean squares
Table 5. Comparison of mean±SE
Combination
|
Sample
|
Bacterial strains
|
Fungal strains
|
P. multocida
|
E. coli
|
S. aureus
|
B. subtilis
|
F. solani
|
A. niger
|
I
|
S2
|
11.76±0.83j
|
-
|
-
|
-
|
-
|
-
|
S3
|
-
|
22.66±0.29l
|
-
|
-
|
-
|
-
|
S4
|
-
|
16.27±0.15m
|
-
|
-
|
-
|
-
|
S6
|
10.40±0.35j
|
-
|
-
|
-
|
-
|
-
|
S7
|
-
|
-
|
24.50±0.00h
|
-
|
-
|
-
|
S8
|
-
|
-
|
24.22±0.22h
|
-
|
-
|
-
|
S9
|
10.39±0.08j
|
-
|
-
|
-
|
-
|
-
|
S10
|
10.31±0.16j
|
-
|
-
|
21.33±0.61j
|
-
|
-
|
S14
|
-
|
-
|
-
|
18.00±0.00k
|
-
|
-
|
S15
|
-
|
-
|
17.70±0.26i
|
-
|
-
|
-
|
S16
|
48.31±0.16a
|
48.31±0.16a
|
48.31±0.16a
|
48.31±0.16a
|
28.13±0.09a
|
27.03±0.03b
|
II
|
S1
|
26.03±0.03hi
|
34.70±0.35cde
|
34.10±0.06cde
|
35.10±0.00bcd
|
16.10±0.00jkl
|
-
|
S2
|
28.07±0.07fgh
|
34.13±0.07de
|
32.10±0.06fg
|
33.10±0.00c-g
|
15.50±0.00kl
|
-
|
S3
|
31.03±0.03bcd
|
33.83±0.44de
|
32.33±0.33efg
|
33.10±0.00c-g
|
17.50±0.00ghi
|
-
|
S4
|
29.03±0.03d-g
|
34.27±0.07de
|
32.07±0.03fg
|
35.20±0.00bc
|
18.10±0.00gh
|
-
|
S5
|
29.13±0.07d-g
|
33.33±0.15ef
|
34.10±0.06cde
|
33.20±0.00c-f
|
26.70±0.00b
|
-
|
S6
|
29.00±0.00d-g
|
33.33±0.15ef
|
33.10±0.06def
|
33.10±0.00c-g
|
20.10±0.00e
|
-
|
S7
|
27.18±0.18gh
|
34.17±0.09de
|
34.10±0.06cde
|
34.20±0.00cde
|
19.10±0.00f
|
18.40±0.00c
|
S8
|
28.07±0.07fgh
|
35.17±0.09cd
|
31.07±0.07g
|
35.20±0.00bc
|
17.50±0.00ghi
|
-
|
S9
|
28.17±0.17e-h
|
36.10±0.06bc
|
32.10±0.06fg
|
35.20±0.00bc
|
22.30±0.00d
|
-
|
S10
|
26.17±0.09hi
|
36.10±0.06bc
|
32.17±0.12fg
|
30.13±0.03i
|
16.60±0.00ij
|
-
|
S11
|
30.07±0.03c-f
|
31.03±0.03hij
|
32.33±0.33efg
|
37.00±0.00b
|
16.10±0.00jkl
|
14.40±0.00e
|
S12
|
29.17±0.07d-g
|
37.23±0.03b
|
36.20±0.10b
|
33.10±0.06c-g
|
18.30±0.00fg
|
-
|
S13
|
31.13±0.13bcd
|
33.07±0.03efg
|
35.17±0.09bc
|
34.10±0.10c-f
|
23.60±0.00c
|
-
|
S14
|
24.13±0.09i
|
28.17±0.09k
|
33.03±0.03def
|
33.03±0.03d-g
|
18.30±0.00fg
|
-
|
S15
|
29.17±0.09d-g
|
34.07±0.03de
|
34.10±0.10cde
|
34.10±0.06c-f
|
-
|
15.40±0.00d
|
S16
|
32.00±0.00bc
|
32.00±0.00fgh
|
32.00±0.00fg
|
32.00±0.00f-i
|
28.00±0.00a
|
28.00±0.00a
|
III
|
S1
|
30.93±0.58bcd
|
31.39±0.31ghi
|
32.59±0.70efg
|
32.33±0.67e-h
|
15.44±0.54l
|
-
|
S2
|
31.00±1.00bcd
|
30.07±0.58ij
|
31.65±0.68fg
|
31.00±1.15ghi
|
14.36±0.23m
|
-
|
S3
|
31.67±0.67bc
|
34.52±1.13cde
|
31.33±0.61fg
|
30.67±0.67hi
|
16.37±0.19jk
|
14.36±0.23e
|
S4
|
31.00±0.00bcd
|
29.63±0.40jk
|
32.20±0.58fg
|
32.33±0.33e-h
|
17.39±0.31hi
|
-
|
S5
|
30.33±0.88cde
|
33.36±0.23ef
|
32.50±0.44efg
|
32.00±0.58f-i
|
11.24±0.14n
|
-
|
S6
|
30.67±0.67bcd
|
30.96±0.06hij
|
34.48±0.72bcd
|
33.67±0.67c-f
|
10.50±0.33n
|
-
|
S7
|
32.67±0.67b
|
32.07±0.43fgh
|
32.31±0.16efg
|
32.67±0.67e-h
|
28.31±0.16a
|
28.00±0.00a
|
Means sharing similar letter in a column are statistically non-significant (P>0.05).
Table 6. Analysis of variance (mean squares) for different strains regarding significance of different combinations.
Source of variation
|
Bacterial strains
|
Fungal strains
|
P. multocida
|
E. coli
|
S. aureus
|
B. subtilis
|
F. solani
|
A. niger
|
Df
|
MS
|
Df
|
MS
|
df
|
MS
|
df
|
MS
|
df
|
MS
|
df
|
MS
|
Comb.
|
2
|
814.415**
|
2
|
97.915*
|
2
|
34.925NS
|
2
|
87.296*
|
2
|
213.298**
|
2
|
77.090NS
|
Error
|
81
|
44.715
|
75
|
26.73
|
75
|
22.359
|
75
|
24.184
|
66
|
19.086
|
18
|
37.767
|
Total
|
83
|
|
77
|
|
77
|
|
77
|
|
68
|
|
20
|
|
NS = Non-significant (P>0.05); * = Significant (P<0.05); ** = Highly significant (P<0.01)
Comb. = Combinations; df = Degree of freedom; MS = Mean squares.
Table 7. Comparison of mean±SE of each combination results
Combination
|
Bacterial strains
|
Fungal strains
|
P. multocida
|
E. coli
|
S. aureus
|
B. subtilis
|
F. solani
|
A. niger
|
I
|
18.24±4.03b
|
29.08±4.90b
|
30.11±4.65a
|
29.21±4.80b
|
28.13±0.09a
|
27.03±0.03a
|
II
|
28.60±0.29a
|
33.79±0.31a
|
33.13±0.20a
|
33.80±0.22a
|
19.59±0.56b
|
19.05±1.62a
|
III
|
31.18±0.27a
|
31.71±0.40ab
|
32.44±0.28a
|
32.10±0.31ab
|
16.23±1.23c
|
21.18±3.05a
|
*Means sharing similar letter in a column are statistically non-significant (P>0.05).
Approach of Synergistic effects is highly applicable for antimicrobial combinational therapies also more beneficial against those antibiotics which are not effective for microbial treatment because of resistance. In several conditions antimicrobial synergism can take place. A microbial metabolic mechanism may be sequentially blocked by two drugs. For example, drug like a cell wall inhibitor (cephalosporin or penicillin) can increase entry of aminoglycoside in the bacteria and therefore generates synergistic effect. One drug may affect membrane and to make the second drug easier to enter. Combined effect can be greater than individual. One drug can also inhibit the second drug inactivation through some microbial enzymes. In such condition synergism takes place even in lesser concentrations of drugs used. For these reasons, multidrug treatment needs to be continuously explored (Brooks et al., 1995; Vazquez-Muñoz et al., 2019). Combination results can be synergistic and antagonistic. In our experiment both antagonistic and synergistic effects were seen against generally all tested microorganisms.
CONCLUSIONS: Our results reveal that combination extracts or fractions of the Bacillus clausii KP10 with each other often showed antagonistic behavior but when we used same extracts with standard drugs they enhanced the activity of drugs and their antibacterial activities were encouraging the real efficiency with low toxic effects. Therefore, they may be used for the treatment of infectious diseases that are caused by microbial resistance to the existing antimicrobial agents and may also serve as the potential candidate of medicinal importance.
Acknowledgements: We are thankful to Molecular Biochemistry Laboratory (MBL) and also Medicinal Biochemistry Research Laboratory (MBRL) at University of Agriculture Faisalabad, Pakistan, for facilitating us to conduct research via equipment’s support.
REFERENCES
- Abriouel, H., C.M. Franz, N.B. Omar, and A. Gálvez (2011). Diversity and applications of Bacillus bacteriocins. FEMS Rev. 35(1): 201-232.
- Ahmad, I. and F. Aqil (2007). In vitro efficacy of bioactive extracts of 15 medicinal plants against ESβL-producing multidrug-resistant enteric bacteria. Res. 162(3): 264-275.
- Aiyegoro, O.A. and A.I. Okoh (2009). Use of bioactive plant products in combination with standard antibiotics: implicateons in antimicrobial chemotherapy. Med. Plants Res.3(13): 1147-1152.
- Araiza, J., P. Canseco and A. Bonifaz (2006). Otomycosis: clinical and mycological study of 97 cases. Revue de laryngologie-otologie-rhinologie. 127(4): 251-
- Benayache, S., F. Benayache, S. Benyahia, J. C. Chalchat and R. P. Garry (2001). Leaf Oils of some Eucalyptus Species Growing in Algeria. J. Essent. Oil Res. 13(3): 210-
- Benhassaini, H., K. enabderrahmane and K. Chi (2003). Contribution to the assessment of the antiseptic activity of essential oils and oleoresin of Pistacia tial Atlas on some microbial sources: Candida albicans (ATC 20027), Candida albicans (ATCC 20032) and Saccharomyces cerevisiae. Ethnopharmacol. 30: 38-46.
- Brooks, G.F., J.S. Butel, L.N. Ornston, E. Jawetz, J.L. Melnick and E.A. Adelberg (1995). Medicine Microbiology. 20th Ed. 656 p.
- Buroni, S., S. Pollini, G. M. Rossolini and E. Perrin (2019). Evolution of genetic mechanisms of antibiotic resistance. Genet. 10:983. doi: 10.3389/fgene.2019.00983.
- Cherif, A.J., S. Chehimi, F. Limem, B.M. Hansen, N.B. Hendriksen, D. Daffonchio and A. Boudabous (2003). Detection and characterization of the novel bacteriocin entomocin 9, and safety evaluation of its producer, Bacillus thuringiensis ssp. entomocidus HD9. Appl. Microbiol.95(5): 990-1000.
- Darwish, R.M., T. Aburjai, S. Al-Khalil and A. Mahafzah (2002). Screening of antibiotic resistant inhibitors from local plant materials against two different strains of Staphylococcus aureus. Ethnopharmacol. 79(3): 359-364.
- Erum, N., Z. Mushtaq and A. Jamil (2017). Isolation and identification of a catalase producing thermoduric alkalotolerant Bacillus sp. Strain KP10 from hot springs of Tatta Pani, Azad Kashmir. J. Anim. Plant Sci. 27(6): 2056-2062.
- Gibbons, S. (2004). Anti-staphylococcal plant natural products.Prod. Rep. 21(2): 263-277.
- Gupta, A.K., R. Baran and R.C. Summerbell (2000). Fusarium infections of the skin. Opin. Infect. Dis. 13(2): 121-128.
- Harper, M., D. Boyce and B. Adler (2006). Pasteurella multocidapathogenesis. Microbiol. Lett. 265:1-10.
- Hemaiswarya, S., A.K. Kruthiventi and M. Doble (2008). Synergism between natural products and antibiotics against infectious diseases. 15(8): 639-652.
- La Jeon, Y., J.J. Yang, M.J. Kim, G. Lim, S.Y. Cho, T.S. Park, J.T. Suh, Y.H. Park, M.S. Lee, S.C. Kim and H.J. Lee (2012). Combined Bacillus licheniformis and Bacillus subtilis infection in a patient with oesophageal perforation. J. Med. Microbiol. 61(12): 1766-1769.
- Johansen, H.K., T.G. Jensen, R.B. Dessau, B. Lundgren and N. Frimodt-Møller (2000). Antagonism between penicillin and erythromycin against Streptococcus pneumoniaein vitro and in vivo. Antimicrob. Chemother. 46(6): 973-980.
- Koroishi, A.M., S.R. Foss, D.A. Cortez, T. Ueda-Nakamura, C.V. Nakamura and B.P. Dias Filho (2008). In antifungal activity of extracts and neolignans from Piper regnellii against dermatophytes. J. Ethnopharmacol. 117(2): 270-
- King, T. C., D. Schlessinger and D. J. Krogstad (1981). The Assessment of Antimicrobial Combinations. Infect. Dis. 3(3): 627–633. (http://www.jstor.org/stable/4452586)
- Lambert, R.J.W. (2000). Susceptibility testing: inoculum size dependency of inhibition using the Colworth MIC technique. Appl. Microbiol. 89(2): 275-279.
- Liu, Q., H. Niu, W. Zhang, H. Mu, C. Sun and J. Duan (2015). Synergy among thymol, eugenol, berberine, cinnamaldehyde and streptomycin against planktonic and biofilm‐associated food‐borne pathogens. Appl. Microbiol. 60(5): 421-430.
- Lu, C. and L. Di (2020). In vitro and in vivo methods to assess pharmacokinetic drug–drug interactions in drug discovery and development. Drug. Dispos.41(1-2): 3-31.
- Martins, W. M., M. A. Toleman and A. C. Gales (2020). Clinical utilization of bacteriophages: a new perspective to combat the antimicrobial resistance in Brazil. J. Infect. Dis. 24: 239-246.
- Moghtader, M. (2013). In vitro antifungal effects of the essential oil of Mentha piperita and its comparison with synthetic menthol on Aspergillus niger. Afr. J. Plant Sci. 7(11): 521-527.
- Monod, M. and B. Mehul (2019). Recent findings in onychomycosis and their application for appropriate treatment. Fungi. 5(1): 20-30. doi:10.3390/jof5010020.
- Muller, A., D. Behsnilian, E. Walz, V. Graf, V. Hogekamp and R. Grenier (2016). Effect of culture medium on the extracellular synthesis of silver nanoparticles using Klebsiella pneumoniae, Escherichia coli and Pseudomonas jessinii. Agric. Biotechnol. 6: 107-115.
- Nighat, F. and Z. Mushtaq (2019). In vitro antimicrobial and antioxidant activities of organic and aqueous extracts of Bacillus clausii J. Chem. Soc. Pak. 41(1): 161-168.
- Nighat, F., Z. Mushtaq, M. Maqsood, M. Shahid, M. A. Hanif and A. Jamil (2020). Cytotoxic, α-amylase inhibitory and thrombolytic activities of organic and aqueous extracts of Bacillus clausiiPakistan. J. Pharm. Sci. 33 (1):135-139.
- Nisa, S (2011). Bioactivities and phytochemical analysis of four plants of medicinal importance of COX-2 and iNOS through suppression of NF-_B activation. Mutat. Res. 48: 243-268.
- Ocampo, P.S., V. Lázár, B. Papp, M. Arnoldini, P. Abel Zur Wiesch, R. Busa-Fekete, Fekete, C. Pál, M. Ackermann and S. Bonhoeffer (2014). Antagonism between bacteriostatic and bactericidal antibiotics is prevalent. Antimicrob. Agents. Chemother. 58(8): 4573-4582.
- Panackal, A.A., A. Imhof, W. Hanley and K.A. Marr (2006). Aspergillus ustus infections among transplant recipients. Emerg. Infect. Dis. 12(3): 403-408.
- Rahal, R.J.J. (1978). Antibiotic combinations: the clinical relevance of synergy and antagonism. Medicine. 57(2): 179-195.
- Riley, M.A. and J.E. Wertz (2002). Bacteriocins: Evolution, ecology, and application. Rev. Microbiol. 56(1): 117-137.
- Erolls, C. S., Muturi and B. Christine (2015). Antifungal activities of Camellia sinensis crude extract, mixture with milk, on selected pathogenic and mycotoxic fungi. J. Med. Plants Res.9(42): 1070-1080.
- Oliveira, S.M., V.S. Falcao-Silva, J.P. Siqueira-Junior, M.J. Costa and M.D. Diniz (2011). Modulation of drug resistance in Staphylococcus aureus by extract of mango (Mangifera indica) peel. Bras. Farmacogn. 21: 190-193.
- Van Vuuren, S.F., S. Suliman and A.M. Viljoen (2009). The antimicrobial activity of four commercial essential oils in combination with conventional antimicrobials. Appl. Microbiol. 48(4): 440-446.
- Vazquez-Muñoz, R., A. Meza-Villezcas, P.G.J. Fournier, E. Soria-Castro, K. Juarez-Moreno, A. L. Gallego-Hernández, N. Bogdanchikova, R. Vazquez-Duhalt and A. Huerta-Saquero (2019). Enhancement of antibiotics antimicrobial activity due to the silver nanoparticles impact on the cell membrane. PloS one. 14(11): doi: 10.1371/journal.pone.0224904.
- Vitale, R.G., J. Afeltra and E. Dannaoui (2005). Antifungal combinations (Methods in molecular medicine). In Antifungal Agents: Methods and Protocols. Humana Press Inc (Springer), Totowa. 118: pp 143–152.
- Williamson, E.M. (2001). Synergy and other interactions in phytomedicines. Phytomedicine. 8(5): 401-409.
- Xie, J., R. Zhang, C. Shang and Y. Guo (2009). Isolation and characterization of a bacteriocin produced by an isolated Bacillus subtilis LFB112 that exhibits antimicrobial activity against domestic animal pathogens. J. Biotechnol.8(20):5611-5619.
- Yilancioglu, K., Z.B. Weinstein, C. Meydan, A. Akhmetov, I. Toprak, A. Durmaz and M. Cokol (2014). Target-independent prediction of drug synergies using only drug lipophilicity. Chem. Inf. Model. 54(8): 2286-2293.
- Zaidan, M.R., A. Noor Rain, A.R. Badrul, A. Adlin, A. Norazah and I. Zakiah (2005). In vitro screening of five local medicinal plants for antibacterial activity using disc diffusion method. Trop. Biomed. 22(2): 165-170.
|