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49 Sayeed et al.
International Journal of Microbiology and Mycology | IJMM
pISSN: 2309-4796
http://www.innspub.net
Vol. 2, No. 3, p. 49-56, 2014
Synergistic antibacterial effects of three edible plants extract against
antibiotic-associated diarrheagenic resistant bacteria
Md. Abu Sayeed, Mohammad Abdul Mannan, Md. Mostafizur Rahman, M. Sarwar Parvez,
Mohammad Firoz Alam*
Biotechnology and Microbiology Laboratory, Department of Botany, University of Rajshahi, Rajshahi-
6205, Bangladesh
Keywords Synergistic effect, AAD resistant bacteria, MIC and MBC.
Publication date: August 10, 2014
Abstract
In vitro synergistic antibacterial effects among Alocasia macrorrhizos rhizome, Amorphophallus
paeoniifolius corm and Colocasia esculenta corm extracts were tested against six resistant bacteria viz.,
Yersinia enterocolitica, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Clostridium
difficile and Staphylococcus aureus. The inhibition zone was compared with the commercially available
antibiotic (tetracycline). High inhibitory activity was observed against E. coli (12.670.33 mm) and S.
aureus (12.500.29 mm) for methanol extract at 800 mgml-1
of concentration. MIC and MBC of the
extracts ranged from 200-580 mgml-1
and 250-650 mgml-1
respectively. The lowest MIC and MBC of
the extracts were measured against E. coli.
* Corresponding Author: Mohammad Firoz Alam  falambt@ru.ac.bd
Open Access RESEARCH PAPER
RESEARCH ARTICLE
50 Sayeed et al.
Introduction
Diarrheal diseases caused by bacterial pathogens
are a major problem worldwide, especially in
developing countries (Wilson et al., 2006;
Jousilahti et al., 1997). Antibiotic-associated
diarrhea (AAD) may be the most common
adverse clinical effect of antibiotic-mediated
disruption of the gastrointestinal microflora
(Beaugerie and Petit, 2004). The spectrum of
AAD ranges from the nuisance of frequent loose
stools to fulminate, life threatening colitis. The
incidence of AAD differs with the antibiotic and
varies between 5% and 25% (Bartlett and John,
1996). The medical literature reports that 5 to
39% of adults (McFarland, 1998; Wistrom et al.,
2001) and 11 to 40% of children (Elstner et al.,
1983; Turck et al., 2003; Kotowska et al., 2005)
will suffer from diarrhea when treated with
antibiotics.
The discovery of antibiotics in the early twentieth
century provided an increasingly important tool
to combat bacterial diseases. As antibiotics are
increasingly used and misused, the bacterial
strains become resistant to antibiotics rapidly
(Abeysinghe and Wanigatunge, 2006). Due to the
increase of resistance to antibiotics, there is a
pressing need to develop new and innovative
antimicrobial agents. Among the potential
sources of new agents, plants have long been
investigated. Because, they contain many
bioactive compounds that can be of interest in
therapeutic (Djeussi et al., 2013). The use of
plant extracts as well as other alternative forms
of medicinal treatments, is enjoying great
popularity in late 1990s (Cowan, 1999). Plants
used for traditional medicines contain a wide
range of substances that can be used to treat
chronic as well as acute infectious diseases
(Ofokansi et al., 2011; Diallo et al.,1999). Many
phytomedicines exert their beneficial effects
through the additive or synergistic action of
several chemical compounds acting at single or
multiple target sites (Briskin, 2000).
Both food and medicinal plants have
interventional uses. This exists mainly in
indigenous and local traditions. Food can be used
as medicine and vice versa. However, certain wild
edible plants are used because of their assumed
health benefits and thus can be called medicinal
foods (Etkin, 1994). Wild edible plants have
always been important in the folk traditions.
However, food and medicinal uses of these plants
have been two of the most relevant and
consistent reasons for popular plant management
(Abbasi et al., 2013). Therefore, in the study we
used three edible plants and focused at
investigating the synergistic antibacterial
potentials of such plants against antibiotic-
associated diarrheagenic resistant bacteria.
Materials and Methods
Collection of plant materials and antibiotics
Alocasia macrorrhizos (Family-Araceae) rhizome,
Amorphophallus paeoniifolius (Family-Araceae)
corm and Colocasia esculenta (Family-araceae)
corm were collected from Binodpur Bazar,
Rajshahi, Bangladesh in March 2012. Any type of
adulteration was strictly avoided during
collection. These plants were identified and
authenticated by Mr. A.H.M. Mahbubur Rahman,
Associate professor and plant taxonomist,
Department of Botany, University of Rajshahi,
Bangladesh. Commercial antibiotic tetracycline
(Square Pharmaceuticals Ltd., Bangladesh) was
used during antibacterial study.
Preparation of plant extracts
Collected A. macrorrhizos rhizomes, A.
paeoniifolius corms and C. esculenta corms were
washed with clean sterile distilled water, cut into
small pieces and dried for 3 days in oven under
60°C to reduce water content. Then the dried
plant material pieces were crushed into fine
powder using mortar, pestle and electric blender
(Nokia, Osaka-Japan). Five-gram dried powder
(1:1:1) from each plant was dipped into 100ml of
different organic solvents (methanol and ethanol)
separately into a conical flask followed by air
51 Sayeed et al.
tight with rubber corks, and left for 2 days on
orbital shaking (IKA Labortechnik KS 250 Basic
Orbital Shaker, Staufen, Germany). The well
refined solution was filtrated through Teton cloth
and Whatman No. 1 filter paper in a beaker
followed by evaporation of solvent using water
bath (4 holes analogue, Thermostatic water bath,
China) until formation of semisolid extract. Semi
solid extracts were dissolved into respective
solvent and preserved in airtight screw cap tube
at 4°C for further use.
Bacterial species used
The synergistic antibacterial activity among A.
macrorrhizos rhizomes, A. paeoniifoliu corms, C.
esculenta corms were assayed against six
resistant bacteria viz., Yersinia enterocolitica,
Escherichia coli, Klebsiella pneumoniae,
Pseudomonas aeruginosa, Clostridium difficile.
and Staphylococcus aureus isolated from
antibiotic-associated diarrhea affected patients.
Antibacterial assay
In vitro synergistic antibacterial activity among A.
macrorrhizos rhizomes, A. paeoniifolius corms
and C. esculenta corms extracts as well as
antibiotics were tested against six studied
bacteria using agar disc diffusion method (Parekh
and Chanda, 2007). Under aseptic conditions,
sterilized Whatman no. 1 filter paper discs (6 mm
in diameter) were impregnated with 10 μl of
different concentration (200, 400, 600 and 800
mgml-1
) of extracts followed by air-drying and
placed on seeded nutrient agar plates. 30 μl of
bacterial suspension (108
cfuml-1
) was used for
preparing seeded nutrient agar plates. Negative
controls were prepared using respective solvents.
The Petri-plates were incubated at 37°C for 24h.
After incubation, antibacterial activity was
determined by measuring the zone of inhibition in
millimeter scale (including disk) against the
studied bacteria. The results were compared with
standard or broad-spectrum antibiotics
(Tetracycline at 0.03μgml-1
) as a positive control.
Each assay was carried out in triplicate.
Determination of minimum inhibitory
concentration (MIC) and minimum bactericidal
concentration (MBC)
MIC and MBC of plant extracts were determined
according to Doughari et al. (2007). Different
concentration (150, 180, 200, 220, 250, 280,
300, 320, 350, 380, 400, 420, 450, 480, 500,
520, 550, 580, 600, 620 and 650 mgml-1
) of
extracts were used for MIC determination. 0.5 ml
of varying concentration of these extracts was
taken into test tubes and 2 ml nutrient broth was
added separately, finally a loop-full of the test
bacteria (108
cfuml-1
) were introduced in those
test tubes. Only bacterial suspension containing
test tubes with nutrient broth instead of the
extracts were used as a control. The culture
tubes were incubated at 37°C for 24 hours. After
incubation, the lowest concentration of extracts
that inhibited visible growth of studied bacteria in
test tubes was taken as MIC. To determine the
MBC, a loop-full bacterium was collected from
MIC position and sub cultured onto nutrient agar
plates. Petri dishes were incubated at 37°C for 24
hours. The lowest concentrations of extracts with
no visible growth of studied bacteria on agar
plates were recorded as MBC.
Statistical analysis
Statistical analysis (ANOVA) was done using
CropStat 7.2. Least Significant Difference (LSD)
test was used to speculate further if there was a
significant difference within extracts, various
concentrations, studied bacteria and interaction
effect between them. P values <0.05 were
considered as significant.
Results
Antibacterial assay
The results of synergistic antibacterial effect of
combination extracts are shown in Table 1. The
studied concentrations of extract exhibited
different degrees of antibacterial activity depend
on bacterial strains and solvents. The zone of
inhibition was ranged from 0.00 to 12.670.33
mm in methanol extracts and 0.00 to 11.670.14
52 Sayeed et al.
mm in ethanol extracts. For methanol extract,
the higher inhibition zones 12.670.33 and
12.500.29 mm were measured at 800 mg/ml
against E. coli and S. aureus respectively. On the
other hand, the higher inhibition zones
11.670.14 and 11.330.33 mm were measured
at 800 mg/ml against E. coli and S. aureus
respectively in ethanol extracts. Methanol
extract, displayed a relatively better antibacterial
effect against tested bacteria. In all cases, the
activity of the extracts was compared with
antibiotic (Tetracycline). Statistical results
showed significant differences (P<0.05) among
the bacterial strains, concentrations and extracts,
and their interaction cases R×B, C×B, R×C×B,
E×B, E×C, E×C×B (Table 2). According to the
LSD test results (Table 3), means of strain,
significant differences were observed among E.
coli, P. aeruginosa, C. difficile and S. aureus. But
no significant difference was observed between Y.
Enterocolitica and K. pneumoniae. Highest and
lowest mean value was found against E. coli and
P. aeruginosa respectively. In case of means of
concentration, significant difference was observed
among them, highest for 800 mgml-1
(5.41667)
followed by 600 mgml-1
(3.23611), 400 mgml-1
(1.47222), 200 mgml-1
(0.12500) as expected.
Minimum inhibitory concentration (MIC) and
minimum bactericidal concentration (MBC)
The MIC and MBC results of extracts are
presented in Table 2. The MIC value of methanol
extracts was ranged from 200 (E. coli) to 420 (P.
aeruginosa) mgml-1
. In case of the MIC value of
ethanol extracts was ranged from 400 (E. coli, C.
difficile, S. aureus) to 580 (P. aeruginosa) mgml-
1
. In two types of extract, methanol extract gave
lowest MIC value (200 mgml-1
) followed by
ethanol (400 mgml-1
). Moreover, in methanol
extracts, MBC values were ranged from 250 (E.
coli) to 480 (P. aeruginosa) mgml-1
. On the other
hand, in ethanol extracts, MBC values were
ranged from 450 (E. coli) to 650 (P. aeruginosa)
mgml-1
. In two types of extract, methanol
extracts gave lowest MBC value (250 mgml-1
).
Table 1. Synergistic antibacterial effects among A. macrorrhizos rhizomes, A. paeoniifolius corms and
C. esculenta corm extracts.
Extract
(mgml-1
)
Solvent
Bacteria
Y.
enterocolitica
E. coli K.
pneumoniae
P.
aeruginosa
C. difficile S. aureus
200
ME 0.00 7.500.29 0.00 0.00 0.00 0.00
Zone
of
inhibition
(mm)
ET 0.00 0.00 0.00 0.00 0.00 0.00
400
ME 7.670.33 8.170.14 7.670.14 7.330.33 8.000.00 8.330.33
ET 7.170.14 7.330.17 7.170.44 0.00 7.500.29 7.330.14
600
ME 9.330.14 10.330.33 9.500.29 9.170.44 9.670.33 9.830.27
ET 8.830.33 9.500.29 8.330.33 8.330.33 9.000.00 9.500.29
800
ME 11.330.14 12.670.33 11.170.44 11.500.29 11.670.14 12.500.29
ET 10.670.33 11.670.14 10.830.14 10.500.29 10.830.14 11.330.33
0.03 TET 12.170.14 13.830.17 12.000.47 11.670.33 11.830.27 12.670.33
ET= Ethanol extract, ME = Methanol extract, TET = Tetracycline. Data were represented mean of zone
inhibition (mm) ± SEM of three replicates.
53 Sayeed et al.
Table 2. Statistical results (ANOVA) of the synergistic antibacterial effects among A. macrorrhizos
rhizome, A. paeoniifolius corm and C. esculenta corm extracts.
Source of variation
Degree of
Freedom
Sum of
squares
Mean Squares F Value Probability
Replication (R) 2 0.510416 0.255208 4.08 0.023
Bacteria (B) 5 18.7917 3.75833 60.13 0.000
R×B 10 2.13542 0.213542 3.42 0.002
Concentrations (C) 5 566.285 188.762 **** 0.000
C×B 15 6.52778 0.435185 6.96 0.000
R×C×B 36 4.68750 0.130208 2.08 0.009
Extracts (E) 1 14.0625 14.0625 225.00 0.000
E×B 5 1.45833 0.291667 4.67 0.002
E×C 3 2.11806 0.706019 11.30 0.000
E×C×B 15 3.86111 0.257407 4.12 0.000
R× E×C×B 48 3.00000 0.625000 1.00 0.500
Total (Corrected) 143 623.438 4.35970
*Indicates very high value
Table 3. Analysis of mean data of the synergistic antibacterial effect among A. macrorrhizos rhizome, A.
paeoniifolius corm and C. esculenta corm extracts.
Variables Growth inhibition diameter (mm)
Bacteria
Y. enterocolitica 2.37500 d
E. coli 3.18750 a
K. pneumoniae 2.29167 d
P. aeruginosa 2.10417 e
C. difficile 2.58333 c
S. aureus 2.83333 b
LSD 0.145094
Concentrations
200 mgml-1
0.12500 d
400 mgml-1
1.47222 c
600 mgml-1
3.23611 b
800 mgml-1
5.41667 a
LSD 0.118469
Extracts
Methanol 2.87500 a
Ethanol 2.25000 a
LSD 0.837702
Means followed by different letter (S) down the column are significantly different among the strains,
concentration as well as extracts at p<0.05. Here any two means having a common letter are not
significantly different at the 5% level of significance.
Table 4. MIC and MBC of A. macrorrhizos rhizome, A. paeoniifolius corm and C. esculenta corm
combination extracts.
Sl. No. Bacteria MIC value (mgml-1
) MBC value (mgml-1
)
ME ET ME ET
1 Y. enterocolitica 400 420 450 480
2 E. coli 200 400 250 450
3 K. pneumoniae 400 420 450 480
4 P. aeruginosa 420 580 480 650
5 C. difficile 380 400 450 480
6 S. aureus 380 400 450 480
54 Sayeed et al.
Discussion
The results showed that the methanol
combination extracts of A. macrorrhizos rhizome,
A. paeoniifolius corm and C. esculenta corm had
the best antibacterial activity. The highest activity
recorded against E. coli and the nearest activity
recorded against S. aureus. The lowest MIC and
MBC values observed for E. coli is a good
indication of high efficacy against this bacteria
and high MIC and MBC values are indication of
low activity (Doughari et al., 2007). The highest
MIC and MBC values suggest that the extracts
are less susceptible. In this study, extracts
showed different degrees of growth inhibition
depending upon the bacterial strains. These
variations were found because strains are
genetically different from each other, and this is
probably due to the differences in chemical
composition and structure of the cell wall of both
types of microorganisms (Kaushik and Goyel,
2008). Increasing of the concentrations level of
extracts had a significant (P<0.05) inhibitory
effect on all studied bacteria. Extracts prepared in
methanol extract gave better activity than
ethanol extracts, and it could be better solubility
of active components in methanol. It has been
reported that different phytoconstituents have
different degrees of solubility in different types of
solvents depending on their polarity (El-Mahmood
and Doughari, 2008). Moreover, several authors
have conducted antibacterial study using
methanol as an extraction solvent and shown
comparatively better activity than others (El-
mahmood and Ameh, 2007; Nataraj et al., 2009;
Prasannabalaji et al., 2012). No studies on the
effects of various combinations of plants extracts
were previously conducted to determine an
antibacterial activity suitable for incorporating in
foods (Sagdic et al., 2005). Study revealed that
Several investigators conducted related
investigation and recommend A. paeoniifolius
extracts as a source of antibacterial agent
(Nataraj et al., 2009; Dubey et al., 2010).
Research has shown that extract of C. esculenta
corms exhibit antimicrobial activity (Dubey et al.,
2010).
Conclusion
The extract showed good antibacterial activity
against all the tested bacteria. The synergistic
effect from the association of different plant
extracts against resistant bacteria leads to new
choices for the treatment of infectious diseases.
This effect enables the use of the respective
plants when it is no longer effective by itself
during therapeutic treatment.
Acknowledgment
We are grateful to the Department of Botany,
University of Rajshahi, Rajshahi, Bangladesh, for
providing excellent laboratory facilities.
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Synergistic antibacterial effects of three edible plants extract against antibiotic-associated diarrheagenic resistant bacteria

  • 1. 49 Sayeed et al. International Journal of Microbiology and Mycology | IJMM pISSN: 2309-4796 http://www.innspub.net Vol. 2, No. 3, p. 49-56, 2014 Synergistic antibacterial effects of three edible plants extract against antibiotic-associated diarrheagenic resistant bacteria Md. Abu Sayeed, Mohammad Abdul Mannan, Md. Mostafizur Rahman, M. Sarwar Parvez, Mohammad Firoz Alam* Biotechnology and Microbiology Laboratory, Department of Botany, University of Rajshahi, Rajshahi- 6205, Bangladesh Keywords Synergistic effect, AAD resistant bacteria, MIC and MBC. Publication date: August 10, 2014 Abstract In vitro synergistic antibacterial effects among Alocasia macrorrhizos rhizome, Amorphophallus paeoniifolius corm and Colocasia esculenta corm extracts were tested against six resistant bacteria viz., Yersinia enterocolitica, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Clostridium difficile and Staphylococcus aureus. The inhibition zone was compared with the commercially available antibiotic (tetracycline). High inhibitory activity was observed against E. coli (12.670.33 mm) and S. aureus (12.500.29 mm) for methanol extract at 800 mgml-1 of concentration. MIC and MBC of the extracts ranged from 200-580 mgml-1 and 250-650 mgml-1 respectively. The lowest MIC and MBC of the extracts were measured against E. coli. * Corresponding Author: Mohammad Firoz Alam  falambt@ru.ac.bd Open Access RESEARCH PAPER RESEARCH ARTICLE
  • 2. 50 Sayeed et al. Introduction Diarrheal diseases caused by bacterial pathogens are a major problem worldwide, especially in developing countries (Wilson et al., 2006; Jousilahti et al., 1997). Antibiotic-associated diarrhea (AAD) may be the most common adverse clinical effect of antibiotic-mediated disruption of the gastrointestinal microflora (Beaugerie and Petit, 2004). The spectrum of AAD ranges from the nuisance of frequent loose stools to fulminate, life threatening colitis. The incidence of AAD differs with the antibiotic and varies between 5% and 25% (Bartlett and John, 1996). The medical literature reports that 5 to 39% of adults (McFarland, 1998; Wistrom et al., 2001) and 11 to 40% of children (Elstner et al., 1983; Turck et al., 2003; Kotowska et al., 2005) will suffer from diarrhea when treated with antibiotics. The discovery of antibiotics in the early twentieth century provided an increasingly important tool to combat bacterial diseases. As antibiotics are increasingly used and misused, the bacterial strains become resistant to antibiotics rapidly (Abeysinghe and Wanigatunge, 2006). Due to the increase of resistance to antibiotics, there is a pressing need to develop new and innovative antimicrobial agents. Among the potential sources of new agents, plants have long been investigated. Because, they contain many bioactive compounds that can be of interest in therapeutic (Djeussi et al., 2013). The use of plant extracts as well as other alternative forms of medicinal treatments, is enjoying great popularity in late 1990s (Cowan, 1999). Plants used for traditional medicines contain a wide range of substances that can be used to treat chronic as well as acute infectious diseases (Ofokansi et al., 2011; Diallo et al.,1999). Many phytomedicines exert their beneficial effects through the additive or synergistic action of several chemical compounds acting at single or multiple target sites (Briskin, 2000). Both food and medicinal plants have interventional uses. This exists mainly in indigenous and local traditions. Food can be used as medicine and vice versa. However, certain wild edible plants are used because of their assumed health benefits and thus can be called medicinal foods (Etkin, 1994). Wild edible plants have always been important in the folk traditions. However, food and medicinal uses of these plants have been two of the most relevant and consistent reasons for popular plant management (Abbasi et al., 2013). Therefore, in the study we used three edible plants and focused at investigating the synergistic antibacterial potentials of such plants against antibiotic- associated diarrheagenic resistant bacteria. Materials and Methods Collection of plant materials and antibiotics Alocasia macrorrhizos (Family-Araceae) rhizome, Amorphophallus paeoniifolius (Family-Araceae) corm and Colocasia esculenta (Family-araceae) corm were collected from Binodpur Bazar, Rajshahi, Bangladesh in March 2012. Any type of adulteration was strictly avoided during collection. These plants were identified and authenticated by Mr. A.H.M. Mahbubur Rahman, Associate professor and plant taxonomist, Department of Botany, University of Rajshahi, Bangladesh. Commercial antibiotic tetracycline (Square Pharmaceuticals Ltd., Bangladesh) was used during antibacterial study. Preparation of plant extracts Collected A. macrorrhizos rhizomes, A. paeoniifolius corms and C. esculenta corms were washed with clean sterile distilled water, cut into small pieces and dried for 3 days in oven under 60°C to reduce water content. Then the dried plant material pieces were crushed into fine powder using mortar, pestle and electric blender (Nokia, Osaka-Japan). Five-gram dried powder (1:1:1) from each plant was dipped into 100ml of different organic solvents (methanol and ethanol) separately into a conical flask followed by air
  • 3. 51 Sayeed et al. tight with rubber corks, and left for 2 days on orbital shaking (IKA Labortechnik KS 250 Basic Orbital Shaker, Staufen, Germany). The well refined solution was filtrated through Teton cloth and Whatman No. 1 filter paper in a beaker followed by evaporation of solvent using water bath (4 holes analogue, Thermostatic water bath, China) until formation of semisolid extract. Semi solid extracts were dissolved into respective solvent and preserved in airtight screw cap tube at 4°C for further use. Bacterial species used The synergistic antibacterial activity among A. macrorrhizos rhizomes, A. paeoniifoliu corms, C. esculenta corms were assayed against six resistant bacteria viz., Yersinia enterocolitica, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Clostridium difficile. and Staphylococcus aureus isolated from antibiotic-associated diarrhea affected patients. Antibacterial assay In vitro synergistic antibacterial activity among A. macrorrhizos rhizomes, A. paeoniifolius corms and C. esculenta corms extracts as well as antibiotics were tested against six studied bacteria using agar disc diffusion method (Parekh and Chanda, 2007). Under aseptic conditions, sterilized Whatman no. 1 filter paper discs (6 mm in diameter) were impregnated with 10 μl of different concentration (200, 400, 600 and 800 mgml-1 ) of extracts followed by air-drying and placed on seeded nutrient agar plates. 30 μl of bacterial suspension (108 cfuml-1 ) was used for preparing seeded nutrient agar plates. Negative controls were prepared using respective solvents. The Petri-plates were incubated at 37°C for 24h. After incubation, antibacterial activity was determined by measuring the zone of inhibition in millimeter scale (including disk) against the studied bacteria. The results were compared with standard or broad-spectrum antibiotics (Tetracycline at 0.03μgml-1 ) as a positive control. Each assay was carried out in triplicate. Determination of minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) MIC and MBC of plant extracts were determined according to Doughari et al. (2007). Different concentration (150, 180, 200, 220, 250, 280, 300, 320, 350, 380, 400, 420, 450, 480, 500, 520, 550, 580, 600, 620 and 650 mgml-1 ) of extracts were used for MIC determination. 0.5 ml of varying concentration of these extracts was taken into test tubes and 2 ml nutrient broth was added separately, finally a loop-full of the test bacteria (108 cfuml-1 ) were introduced in those test tubes. Only bacterial suspension containing test tubes with nutrient broth instead of the extracts were used as a control. The culture tubes were incubated at 37°C for 24 hours. After incubation, the lowest concentration of extracts that inhibited visible growth of studied bacteria in test tubes was taken as MIC. To determine the MBC, a loop-full bacterium was collected from MIC position and sub cultured onto nutrient agar plates. Petri dishes were incubated at 37°C for 24 hours. The lowest concentrations of extracts with no visible growth of studied bacteria on agar plates were recorded as MBC. Statistical analysis Statistical analysis (ANOVA) was done using CropStat 7.2. Least Significant Difference (LSD) test was used to speculate further if there was a significant difference within extracts, various concentrations, studied bacteria and interaction effect between them. P values <0.05 were considered as significant. Results Antibacterial assay The results of synergistic antibacterial effect of combination extracts are shown in Table 1. The studied concentrations of extract exhibited different degrees of antibacterial activity depend on bacterial strains and solvents. The zone of inhibition was ranged from 0.00 to 12.670.33 mm in methanol extracts and 0.00 to 11.670.14
  • 4. 52 Sayeed et al. mm in ethanol extracts. For methanol extract, the higher inhibition zones 12.670.33 and 12.500.29 mm were measured at 800 mg/ml against E. coli and S. aureus respectively. On the other hand, the higher inhibition zones 11.670.14 and 11.330.33 mm were measured at 800 mg/ml against E. coli and S. aureus respectively in ethanol extracts. Methanol extract, displayed a relatively better antibacterial effect against tested bacteria. In all cases, the activity of the extracts was compared with antibiotic (Tetracycline). Statistical results showed significant differences (P<0.05) among the bacterial strains, concentrations and extracts, and their interaction cases R×B, C×B, R×C×B, E×B, E×C, E×C×B (Table 2). According to the LSD test results (Table 3), means of strain, significant differences were observed among E. coli, P. aeruginosa, C. difficile and S. aureus. But no significant difference was observed between Y. Enterocolitica and K. pneumoniae. Highest and lowest mean value was found against E. coli and P. aeruginosa respectively. In case of means of concentration, significant difference was observed among them, highest for 800 mgml-1 (5.41667) followed by 600 mgml-1 (3.23611), 400 mgml-1 (1.47222), 200 mgml-1 (0.12500) as expected. Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) The MIC and MBC results of extracts are presented in Table 2. The MIC value of methanol extracts was ranged from 200 (E. coli) to 420 (P. aeruginosa) mgml-1 . In case of the MIC value of ethanol extracts was ranged from 400 (E. coli, C. difficile, S. aureus) to 580 (P. aeruginosa) mgml- 1 . In two types of extract, methanol extract gave lowest MIC value (200 mgml-1 ) followed by ethanol (400 mgml-1 ). Moreover, in methanol extracts, MBC values were ranged from 250 (E. coli) to 480 (P. aeruginosa) mgml-1 . On the other hand, in ethanol extracts, MBC values were ranged from 450 (E. coli) to 650 (P. aeruginosa) mgml-1 . In two types of extract, methanol extracts gave lowest MBC value (250 mgml-1 ). Table 1. Synergistic antibacterial effects among A. macrorrhizos rhizomes, A. paeoniifolius corms and C. esculenta corm extracts. Extract (mgml-1 ) Solvent Bacteria Y. enterocolitica E. coli K. pneumoniae P. aeruginosa C. difficile S. aureus 200 ME 0.00 7.500.29 0.00 0.00 0.00 0.00 Zone of inhibition (mm) ET 0.00 0.00 0.00 0.00 0.00 0.00 400 ME 7.670.33 8.170.14 7.670.14 7.330.33 8.000.00 8.330.33 ET 7.170.14 7.330.17 7.170.44 0.00 7.500.29 7.330.14 600 ME 9.330.14 10.330.33 9.500.29 9.170.44 9.670.33 9.830.27 ET 8.830.33 9.500.29 8.330.33 8.330.33 9.000.00 9.500.29 800 ME 11.330.14 12.670.33 11.170.44 11.500.29 11.670.14 12.500.29 ET 10.670.33 11.670.14 10.830.14 10.500.29 10.830.14 11.330.33 0.03 TET 12.170.14 13.830.17 12.000.47 11.670.33 11.830.27 12.670.33 ET= Ethanol extract, ME = Methanol extract, TET = Tetracycline. Data were represented mean of zone inhibition (mm) ± SEM of three replicates.
  • 5. 53 Sayeed et al. Table 2. Statistical results (ANOVA) of the synergistic antibacterial effects among A. macrorrhizos rhizome, A. paeoniifolius corm and C. esculenta corm extracts. Source of variation Degree of Freedom Sum of squares Mean Squares F Value Probability Replication (R) 2 0.510416 0.255208 4.08 0.023 Bacteria (B) 5 18.7917 3.75833 60.13 0.000 R×B 10 2.13542 0.213542 3.42 0.002 Concentrations (C) 5 566.285 188.762 **** 0.000 C×B 15 6.52778 0.435185 6.96 0.000 R×C×B 36 4.68750 0.130208 2.08 0.009 Extracts (E) 1 14.0625 14.0625 225.00 0.000 E×B 5 1.45833 0.291667 4.67 0.002 E×C 3 2.11806 0.706019 11.30 0.000 E×C×B 15 3.86111 0.257407 4.12 0.000 R× E×C×B 48 3.00000 0.625000 1.00 0.500 Total (Corrected) 143 623.438 4.35970 *Indicates very high value Table 3. Analysis of mean data of the synergistic antibacterial effect among A. macrorrhizos rhizome, A. paeoniifolius corm and C. esculenta corm extracts. Variables Growth inhibition diameter (mm) Bacteria Y. enterocolitica 2.37500 d E. coli 3.18750 a K. pneumoniae 2.29167 d P. aeruginosa 2.10417 e C. difficile 2.58333 c S. aureus 2.83333 b LSD 0.145094 Concentrations 200 mgml-1 0.12500 d 400 mgml-1 1.47222 c 600 mgml-1 3.23611 b 800 mgml-1 5.41667 a LSD 0.118469 Extracts Methanol 2.87500 a Ethanol 2.25000 a LSD 0.837702 Means followed by different letter (S) down the column are significantly different among the strains, concentration as well as extracts at p<0.05. Here any two means having a common letter are not significantly different at the 5% level of significance. Table 4. MIC and MBC of A. macrorrhizos rhizome, A. paeoniifolius corm and C. esculenta corm combination extracts. Sl. No. Bacteria MIC value (mgml-1 ) MBC value (mgml-1 ) ME ET ME ET 1 Y. enterocolitica 400 420 450 480 2 E. coli 200 400 250 450 3 K. pneumoniae 400 420 450 480 4 P. aeruginosa 420 580 480 650 5 C. difficile 380 400 450 480 6 S. aureus 380 400 450 480
  • 6. 54 Sayeed et al. Discussion The results showed that the methanol combination extracts of A. macrorrhizos rhizome, A. paeoniifolius corm and C. esculenta corm had the best antibacterial activity. The highest activity recorded against E. coli and the nearest activity recorded against S. aureus. The lowest MIC and MBC values observed for E. coli is a good indication of high efficacy against this bacteria and high MIC and MBC values are indication of low activity (Doughari et al., 2007). The highest MIC and MBC values suggest that the extracts are less susceptible. In this study, extracts showed different degrees of growth inhibition depending upon the bacterial strains. These variations were found because strains are genetically different from each other, and this is probably due to the differences in chemical composition and structure of the cell wall of both types of microorganisms (Kaushik and Goyel, 2008). Increasing of the concentrations level of extracts had a significant (P<0.05) inhibitory effect on all studied bacteria. Extracts prepared in methanol extract gave better activity than ethanol extracts, and it could be better solubility of active components in methanol. It has been reported that different phytoconstituents have different degrees of solubility in different types of solvents depending on their polarity (El-Mahmood and Doughari, 2008). Moreover, several authors have conducted antibacterial study using methanol as an extraction solvent and shown comparatively better activity than others (El- mahmood and Ameh, 2007; Nataraj et al., 2009; Prasannabalaji et al., 2012). No studies on the effects of various combinations of plants extracts were previously conducted to determine an antibacterial activity suitable for incorporating in foods (Sagdic et al., 2005). Study revealed that Several investigators conducted related investigation and recommend A. paeoniifolius extracts as a source of antibacterial agent (Nataraj et al., 2009; Dubey et al., 2010). Research has shown that extract of C. esculenta corms exhibit antimicrobial activity (Dubey et al., 2010). Conclusion The extract showed good antibacterial activity against all the tested bacteria. The synergistic effect from the association of different plant extracts against resistant bacteria leads to new choices for the treatment of infectious diseases. This effect enables the use of the respective plants when it is no longer effective by itself during therapeutic treatment. Acknowledgment We are grateful to the Department of Botany, University of Rajshahi, Rajshahi, Bangladesh, for providing excellent laboratory facilities. References Abbasi AM, Khan MA, Zafar M. 2013. Ethno- medicinal assessment of some selected wild edible fruits and vegetables of lesser-himalayas, Pakistan Journal of Botany 45(SI), 215-222. Abeysinghe PD, Wanigatunge RP. 2006. Evaluation of antibacterial activity of different mangrove plant extracts. Ruhuna Journal of Science 1, 104-112. Bartlett, John G. 1996. Management of Clostridium difficile infection and other antibiotic- associated diarrhoeas. European Journal of Gastroenterology & Hepatology 8, 1054-61. Beaugerie L, Petit JC. 2004. Microbial-gut interactions in health and disease. Antibiotic- associated diarrhoea. Best Practice & Research Clinical Gastroenterology 18, 337-52. Briskin DP. 2000. Medicinal plants and phytomedicines. Linking plant Biochemistry and Physiology to Human Health. Plant Physiology 124(2), 507-514.
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