This study aimed to isolate and evaluate the cellulase activity of cellulolytic bacteria in hot springs of Dehloran, Ilam province, Iran. Water and sludge samples were collected from the hot springs and the bacterial enrichment was performed in a medium containing rice barn and carboxymethyl cellulose (CMC). The cultures were incubated at 50 °C in aerobic conditions. The bacteria were isolated on CMC agar (1%) medium. Cellulase assay of the isolates was measured by the evaluation of endoglucanase enzyme activity, which is also called as carboxymethyl cellulase (CMCase). The isolated thermotolerant bacteria were then identified and optimized for the production of CMCase. Moreover, stabilizing elements of the enzyme were identified with in silico approach. The chosen isolate was identified as Isoptericola variabilis sp. IDAH9. The identified strain produced the most thermostable CMCase at a concentration of 5.6 g/L of ammonium sulfate, 9 g/L CMCase or 12 g/L rice bran, 0/6% Tween-80, and 0.2% sucrose. The produced enzyme showed 80% of the residual activity after 1 h of incubation at 65 °C. In silico data indicated that the remaining residual activity was due to the redundant stabilizing elements in the protein structure. Consequently, I. variabilis can be isolated from the extreme environment and has a thermostable endoglucanase which may be used for various applications after studying them.
This study aimed to isolate and evaluate the cellulase activity of cellulolytic bacteria in hot springs of Dehloran, Ilam province, Iran. Water and sludge samples were collected from the hot springs and the bacterial enrichment was performed in a medium containing rice barn and carboxymethyl cellulose (CMC). The cultures were incubated at 50 °C in aerobic conditions. The bacteria were isolated on CMC agar (1%) medium. Cellulase assay of the isolates was measured by the evaluation of endoglucanase enzyme activity, which is also called as carboxymethyl cellulase (CMCase). The isolated thermotolerant bacteria were then identified and optimized for the production of CMCase. Moreover, stabilizing elements of the enzyme were identified with in silico approach. The chosen isolate was identified as Isoptericola variabilis sp. IDAH9. The identified strain produced the most thermostable CMCase at a concentration of 5.6 g/L of ammonium sulfate, 9 g/L CMCase or 12 g/L rice bran, 0/6% Tween-80, and 0.2% sucrose. The produced enzyme showed 80% of the residual activity after 1 h of incubation at 65 °C. In silico data indicated that the remaining residual activity was due to the redundant stabilizing elements in the protein structure. Consequently, I. variabilis can be isolated from the extreme environment and has a thermostable endoglucanase which may be used for various applications after studying them.
Cellulose is one of the main structural components of lignocellulosic wastes and the
most renewable biomaterial that has been chosen as a carbon source by a wide range of
cellulolytic microorganisms including fungi and bacteria. The degradation of cellulose
is accomplished by the cooperative action of three types of enzymes:
beta-1,4-endoglucanase (also called as carboxymethyl cellulase (CMCase), EC 3.2.1.4),
beta-1,4-glucan cellobiohydrolases (CBH, filter paperase (FPase), EC 3.2.1.91), and
beta-glucosidases (cellobiase, EC 3.2.1.21). CMCase and FPase act synergistically on
cellulose to produce small oligosaccharides and cellobiose that are then cleaved by
beta-glucosidases to glucose, which can be used by the microorganisms (Acosta-Rodriguez ; Kuhad ; Picart ).Cellulases have several applications (Sukumaran
; Van Maris
); however, thermostability is one of the most
important criteria for its application in the industries (Bredholt ; Ferrer ; Bhalla
; Karnaouri
). For example, one major bottleneck in front
of the development of lignocellulosic biofuel industry is the unfeasibility of
hydrolysis phase of cellulose. The biorefining process remains economically unachievable
due to the lack of biocatalysts that can overcome costly problems such as cooling from
high temperature, pumping of oxygen/stirring, and neutralization from acidic or basic pH
(Dashtban ).
Mining enzymes from extreme environments is an alternative solution for these problems.
Consequently, isolation of microorganisms such as extremophiles from these habitats and
characterization of their biocatalysts is the interest of many researchers (Bergquist ; Bredholt ; Ferrer ). Moreover,
these kinds of biocatalysts are noticeable and confident templates for protein
engineering purposes. There are several reports regarding isolation of thermophilic
bacteria and fungi and the characterization of their endoglucanase activity (Bhalla ; Hreggvidsson ; Karnaouri ; Mead ; Susanti ). The
importance of thermophilic bacteria and their thermostable enzymes to overcome the
bottlenecks of existing processes of lignocellulosic biomass conversion, the effect of
high temperatures on bioprocessing of saccharification and fermentation, and the new
trends in improved lignocellulosic conversion to bioethanol have also been discussed
(Bhalla ; Li D-C ).The hot springs are extreme environments that host extremophiles. There are several
reports on isolation of thermostable microorganisms including thermophilic cellulolytic
anaerobes, thermophilic fungi, thermophilic anaerobic cellulolytic bacterium,
Fervidobacterium riparium sp. nov., and alkaline thermophilic fungi,
Aneurinibacillus thermoaerophilus wbs2, from hot springs (Acharya and Chaudhary, 2012; Bredholt ; Li ; Podosokorskaya ). This study purposed to isolate
cellulolytic and thermotolerant bacteria from hot springs of Dehloran, Ilam province in
South-West of Iran. The selected isolated bacterium was then identified as
Isoptericola variabilis sp. IDH9 and optimized the CMCase production
from this source. Also, stabilizing elements for CMCase were identified through
in silico approach by predicting the structure of endoglucanase
isolated from I. variabilis. Subsequently, the entire protein structure
of endoglucanse was scanned concerning the stabilizing regions.
Materials and Methods
Isolation of thermophilic cellulase-producing bacteria
The water and soil samples were collected from hot springs of Dehloran (32°41′39″ N
and 47°16′04″ E) in the Ilam province of South-West of Iran. Then, 1 g of wet soil
was added to 70 mL of two different mediums which have been previously described and
supplemented with rice bran or carboxymethyl cellulose (CMC) as the sole source of
carbon (1% w/v) in 250 mL flasks (Crawford and McCoy,
1972; Rastogi ). The pH of the medium was adjusted to 7.0. The flasks were kept in a
shaking incubator at 50 °C and 150 rpm for 1 week. At the end of the week, the
culture medium was transferred to the fresh medium (2% v/v) and the process was run
as described before. After 6 weeks, samples of the culture were used to prepare the
serial dilutions (using sterile salinewater 0.9% NaCl). Each dilution was spread on
a plate containing enrichment medium and CMC agar (both at 1% w/v) to isolate
thermophilic cellulose-degrading bacteria. The single colonies that appeared after
incubation at 50 °C were isolated and named (D2, D3, D5, and D9) for further
study.
Endoglucanase activity assay
Endoglucanase activity of D2, D3, D5, and D9 isolates was primarily screened with
Congo red plate (Teather and Wood, 1982) and
also with 3,5-dinitrosalicylic acid (DNS) method. First, the CMCase activity was
evaluated on Congo red plates containing enriched medium as well as 0.1% CMC and 0.8%
agar. The supernatant of the enzyme solution (20 μL) of the isolates was poured on
the plate. After 30 min incubation at 37 °C, the medium was flooded with an aqueous
solution of Congo red (0.1%) for 15 min. The Congo red solution was then poured off,
and plate was further treated by flooding with 1 M NaCl for 15 min. Enzyme activity
was observed in the halo of discoloration. An industrial cellulase enzyme was used as
a positive control and compared with samples' halo. All tests were done in
triplicates and the bars represent standard deviation (SD).The DNS method is based on the determination of the amount of liberated sugars from
CMC %1 substrate as described before with some modifications (Assareh ). The enzyme assay mixture
(2 mL) contained 1 mL of supernatant of enzyme solution and 1 mL of 1% (w/v) CMC
solubilized in 50 mM phosphate buffer (pH 7). The reaction was conducted by the
incubation of the mixture at 50 °C for 30 min. The reaction was then stopped by the
addition of DNS solution (2 mL). The treated sample was boiled for 10 min and then
sodium-potassium tartarate (1 mL) was added and cooled by the addition of 5 mL water
for color stabilization. The absorbance of the developed color was measured at 540 nm
and converted to the concentration of reducing sugars using a standard curve created
by various concentrations of glucose (Merck) as standard. One unit of the enzyme
activity is defined as the amount of enzyme that releases 1 mM of reducing sugars per
30 min.
Evaluation of enzyme production and growth
The growth pattern and endoglucanase production of the selected four isolates were
investigated by using a medium which have been described before (Liang ) by interval
sampling during 10 days. The growth was examined by measuring the optical density in
540 nm. The supernatant of the samples was stored in −20 °C to be used for
endoglucanase activity assay.
Identification of the bacterial isolate
The four isolates were subjected to standard biochemical tests (Bergey's manual) and
16S rRNA gene sequencing. The isolation of genomic DNA was carried out according to
Fermentase genomic DNA purification kit. The extracted DNA was used as the template
for PCR amplification of 16S rRNA gene using universal primers:
F-(5′-CCGAATTCGTCGACAACAGAGTTTGATCCTGG CTCAG-3′) and R-(5′-CCCGGGATCCAAGCTTACGG
TTACCTTGTTACGACTT-3′). The reaction mixture (30 μL) contained: each primer at a
concentration of 0.75 μL, Master Mix PCR (2X) at a concentration of 15 μL, template
DNA (1.5 μL), and ddH2O (12 μL). The following thermal profile was used
for the PCR: 94 °C, 1.5 min; 35 cycles of 94 °C, 45 s; 65 °C, 60 s; 72 °C, 90 s; 1
cycle of 72 °C, 10 min. The PCR product was purified using the quick PCR purification
kit (Fermentase) and sequenced by Bionear Company, Korea. The 16S rDNA sequence of
the isolates were submitted to GenBank. The similarity search for the sequence was
carried out using the BLAST program. Phylogenetic tree was constructed by the
neighborhood-joining method using MEGA 6 software (Tamura ). Bootstrap resampling analysis for
1,000 replicates was performed in order to estimate the confidence of the tree
topologies.
Optimization of medium culture for improving enzyme production
The effect of inducer on enzyme production
In order to study the effect of inducer on the cellulase production of the
selected isolate, sucrose at the concentrations of 0.1 and 0.2% (w/v) was added to
the culture medium containing 1% CMC as the carbon source. The control medium
contained no sucrose. In the same condition, endoglucanase activity was compared
at the end of each week.
The effect of Tween-80 on enzyme production
Among the surfactants, Tween-80 was added to the culture medium at concentrations
of 0.1, 0.2, 0.4, and 0.6% (v/v) and its effect on the endoglucanase production
was investigated.
The effect of carbon source on enzyme production
In order to study the effect of carbon source on endoglucanase production, same
flasks of medium were prepared from the basic culture medium in a manner that each
flask contained 1.5, 3, 6, 9, and 12 g/L of CMC or rice bran as the carbon source.
At the end of the experiment, the endoglucanase activity of the supernatants was
measured.
The effect of nitrogen source on enzyme production
In order to assay the effect of nitrogen source on enzyme production, different
concentrations of ammonium sulfate by 1.4, 2.8, 5.6, 8.4, 11.2, and 16.8 g/L was
used as the sole nitrogen source. Then, the endoglucanase activity of supernatant
was measured.
Evaluation of thermal stability
In order to measure the thermal stability of endoglucanase, the supernatant of the
culture medium was placed in a water bath at 50 and 55 °C and sampling was done at
intervals of 0.5, 1, 2, and 4 h from the solution. The residual activity of
endoglucanase was measured after test times. The control of experiment was the same
sample before placing in the water bath.
Protein structure prediction
As in silico approach, we tried to predict three-dimensional (3D)
structure of I. variabilis endoglucanase (accession number:
334338181). To do this, a combination of domain recognition and Hidden Markov Model
(HMM) following a rigid body assembly by Modeller V 9.12 software were performed.
Because the most identical crystallography template to I. variabilis
cellulase had low similarity, we used ps2 protein modeling server (Chen ) to predict 3D
structure based on similar domains, and by this way, the number of misaligned
residues were decreased. Also, for finding a rational template for misaligned parts
of query sequence, Sequence Alignment and Modeling (SAM)-T08, a HMM-based protein
prediction webserver (http://compbio.soe.ucsc.edu/SAM_T08/T08-query.html) was used. In this
method, first a cluster of HMM made by querying similar sequences and alignment was
performed between a HMM database of structures and the constructed HMM cluster of
query. SAM algorithm made the final complete model of the query. Finally, the
retrieved models from domain recognition and HMM methods were used as the template
for Modeller v 9.12 (https://salilab.org/modeller/release.html). The final complete model
was predicted and optimized and then energy minimization was performed on predicted
model. This model was used for further analysis.
Statistical analysis
All experiments were replicated at least three times. Statistical analyses were
performed by paired test, one-way ANOVA, and data were expressed as the averages ±
SD. The error bars were calculated using the averages and SD of the means by
Microsoft excel 2007. Differences were considered to be statistically significant
when p value p < 0.05, p < 0.01, and p < 0.001.
Results and Discussion
Isolation and identification of thermophilic cellulose-utilizing bacteria
Among the isolated colonies from hot springs of Dehloran, four of the isolates, named
D2, D3, D5, and D9, indicated the ability to create a clear halo of cellulase
activity on Congo red plates during incubation and therefore displayed higher
cellulase activity. During the quantitative tests, it was determined that the
endoglucanase activity of D9 was higher than others (Figure 1). In addition, D9 isolate was able to use not only microcrystal
cellulose but also rice bran and commercial CMC as a carbon source. Therefore, D9 was
selected for further studies. The partial 16S rDNA sequence of D9 isolate was
obtained and submitted to GenBank. The Accession number for
Isoptericola sp. IDAH9 is KM279624. According to molecular and
physiological characteristics, the D9 isolate was determined as I.
variabilis strain (IDAH9). Phylogenetic analysis using Mega 6 software
revealed that the strain IDAH9 formed a clad with I. variabilis
supported by 100 bootstrap values (Figure 2).
The degree of sequence similarity of strain T1 to I. variabilis was
99%.
Figure 1
Endoglucanase (CMCase) activity of isolated cellulase-producing bacteria.
The cellulase-producing bacterial strains were compared according to CMCase
activity (p* < 0.01).
Figure 2
Phylogenetic tree showing the relationship between 16S rDNA sequence of
Isoptricola variabilis strain (IDAH9) which was isolated in
this study and the most related sequences in GenBank. The tree was constructed
by MEGA 6 using neighbor-joining algorithm with 1000 bootstrapping. The scale
bar represents 0.005 substitutions per amino acid position. Numbers at the node
are the bootstrap values (%).
I. variabilis sp. Nov first reported as Cellulomonas
variformis and a cellulolytic bacterium from the hindgut of the termite
Mastotermes darwiniensis (Bakalidou, 2002). It was reclassified
as I. variabilis (Stackebrandt, 2004). Indeed,
Cellulomonas species are cellulolytic bacteria that have been
isolated from different sources containing cellulose materials.
Cellulomonas sp. sw97 has been isolated from silkworm-gut and
characterized its exoglucanase and endoglucanase activity (Hemmat, 2001). Interestingly, we isolated another
Isoptericola sp. from a hot spring located in north of Iran (data
not shown). I. variabilis has been reported as one of five
amylolytic bacterial strains from Sao Paulo Zoo composting unit, which showed strong
induction in response to the combination of 1% starch at 39 °C (Pascon ). Although,
Isoptericola halotolerans sp. has been isolated from saline soil
(Zhang ) but
the species has not been reported from hot springs suggesting that this is a novel
information.
Evaluation of growth and endoglucanase production of I.
variabilis sp. IDAH9
Evaluation of the growth and endoglucanase production over time indicated that the
I. variabilis sp. IDAH9 has 0.64 U/mL of endoglucanase activity
at the end of logarithmic phase of growth. Then the enzyme production was continued
during death phase (Figure 3).
Figure 3
Evaluation of growth curves of Isoptericola variabilis sp.
IDAH9 and the relation of endoglucanase production over time (p* <
0.05).
Optimization of enzyme production in IDAH9 strain
After selecting the appropriate strains, the conditions for enzyme production were
optimized. To do this, the effect of rice bran and CMC, ammonium sulfate, Tween-80,
and sucrose were evaluated.
The effect of different amount of carbon sources for enzyme production
The results indicated that commercial CMC was more favorable carbon source than rice
bran for the production endoglucanase (p* < 0.01). It is suggested that this is
due to the less complexity and hence easy hydrolysis of CMC by the isolated strain
(Wood and Bhat, 1988). Moreover, 9 g/L was
the best concentration of CMC for the enzyme production (Figure 4). Also, the same result was detected during the
quantitative measurement, and 1/1 ± 0.09 U/mL endoglucanase activity was achieved
when the CMC concentration was 9 g/L (Figure 5)
(p* < 0.01). Similarly, CMC was found optimum for cellulase production of
thermotolerant CMCase from Bacillus sp. isolated from cow dung
(Sadhu ).
Although the increasing of CMC concentration over 9 g/L decreased CMCase production,
increasing the rice bran to 12 g/L increased the enzyme production (Figures 5, 6).
This result can be described by the lower percent of carbon composition of rice bran
(about 40% of total weight). Accordingly, CMCase production was found to be dependent
upon the nature of the carbon source used in the culture media.
Figure 4
Endoglucanase (CMCase) production by Isoptericola variabilis sp. DAH9 with
different densities of carboxymethyl cellulose (CMC) after 8 days of
incubation. 1–5: Mendel medium containing 1.5, 3, 6, 9, and 12 g/L CMC,
respectively and 6: positive control.
Figure 5
The effect of different concentrations (1.5-12 g/L) of CMC on CMCase
production during 8 and 14 days (p* < 0.02).
Figure 6
The effect of different concentration (1.5-12 g/L) of rice bran on CMCase
production during 8 and 14 days (p* < 0.01).
The effect of different concentrations of nitrogen source on enzyme
production
As it is shown in Figure 7, the I.
variabilis sp. IDAH9 has produced the greatest amount of CMCase at a
concentration of 5.6 g/L of ammonium sulfate at the 8th and 14th days. There are no
significant difference (p = 0.412) between the results of two periods; however,
ammonium sulfate (5/6 g/L) has shown significant differences during both periods (p =
0.004, p = 002, respectively). It was also observed that higher concentrations of
ammonium sulfate had negative effect on the CMCase production and it was accelerated
during passage of time.
Figure 7
The effect of nitrogen source on CMCase production.
The effect of different concentrations of sucrose on enzyme production
The results showed that while the isolate produced 0.29 ± 0.01 U/L and 0.32 ± 0.05
U/mL of endoglucanase in the absence of glucose on the 8th and the 14th day,
respectively, the amount of enzyme was increased in presence of sucrose (Figure 8). Also, the results showed that the enzyme
production was greater on the 14th day than the 8th day (p* < 0.01). Some
materials, including some of the sugars, in the presence of cellulose can induce the
production of cellulase. Cellobiose induced cellulolytic activity in
Cellulomonas sp. IIBC (Rodriguez, 1996). When glucose or
cellobiose was used with cellulose in a thermophilic Brevibacillus
sp., cellulase activities were enhanced 10 times (Liang ).
Figure 8
The effect of inducer on endoglucanase (CMCase) production. Control: medium
without sucrose (p* < 0.01).
The effect of different concentrations of Tween-80 on enzyme production
The effect of Tween-80%0/1, %0/2, %0/4, and %0/6 on the endoglucanase enzyme
production was evaluated where the amount of CMC was 3 g/L. The results indicated
that increasing Tween-80 concentration increased the CMCase activity in supernatant
till 8 days, and then the activity has been decreased in all concentration of
Tween-80. As well as a concentration of %0/6 has best effect on enzyme activity of
the supernatant (p* < 0.01) (Figure 9). It
has been reported that Tween-80 increases the rate of phytase production in
Aspergillus ficuum (Liang
), xylanase production by
Aspergillus flavus DFR (Pal and
Khanum, 2011), CMCase production by Geobacilus (Assareh ) and
Cellulomonas flavigena (Sami
). It is believed hat surfactants
facilitates the release of enzymes by decreasing the phospholipid content of the cell
membrane and thereby increasing its porosity.
Figure 9
The effect of Tween −80 on CMCase production (p* < 0.01).
Valuation of thermal stability
Residual activities of endoglucanase of I. variabilis sp. DAH9 were
94, 91.5, 82, and 71 ± 3.0%, after 0.5, 1, 2, and 4 h incubation at 55 °C,
respectively. Although, activity of this enzyme gradually declined with the increase
of temperature from 55 to 65 °C (Figure 10),
the thermal stability of the enzyme was noticeable and sufficient activity of the
enzyme (88, 80, 72, and 59%, respectively) was present. However, the CMCase of
mesophilic Cellulomonas flavigena lost its activity when it was
incubated at 70 °C for 30 min (Sami ).
Figure 10
Evaluation of thermal stability of endoglucanase activity of selected
isolates in 55 and 65 °C (p* < 0.01).
Determination of stabilizing regions in protein structure
For the determination of stabilizing regions, the predicted structure (Figure 11) was further analyzed by SCide web-based
algorithm (Dosztanyi ). The results of the analysis are depicted in Figure 12. This indicates that the stabilizing residues are
mainly localized at 200 to 260 and 300 to 350. Also, there are stabilizing regions at
C terminal of the protein.
Figure 11
The predicted structure of Isoptericola variabilis
cellulase.
Figure 12
Location of stabilization center elements in the sequence are marked with “
”, while other 6 positions are marked with “_”.
Conclusion
It may be concluded that the studied hot springs have noticeable biodiversity of
thermophilic and cellulolytic bacteria which can be cultured and isolated. Among the
isolates, I. variabilis sp. DAH9 could produce noticeable thermostable
endoglucanase by using low-priced carbon sources such as rice barn and commercial CMC.
Therefore, it has the potential to produce thermostable endoglucanase which could have
application for cellulose hydrolyzing industries. In silico study of
the most related endoglucanase revealed that this protein contains several stabilizing
centers which made it a thermostable enzyme. Thermotolerant bacteria which produce
thermostable enzymes have some comparative advantages to thermophiles faced with some
limitations in scaling up. Further in-depth investigation is needed on optimization of
cost-effective substrate for bulk production of enzymes and molecular basis of
thermostability. Also, the identified stabilizing centers of the enzyme has the
potential for application in protein engineering purposes to reach a more thermostable
enzyme with even more turn over and specific activity.
Authors: Olga A Podosokorskaya; Alexandr Yu Merkel; Tatyana V Kolganova; Nikolai A Chernyh; Margarita L Miroshnichenko; Elizaveta A Bonch-Osmolovskaya; Ilya V Kublanov Journal: Int J Syst Evol Microbiol Date: 2010-12-17 Impact factor: 2.747
Authors: Antonius J A van Maris; Derek A Abbott; Eleonora Bellissimi; Joost van den Brink; Marko Kuyper; Marijke A H Luttik; H Wouter Wisselink; W Alexander Scheffers; Johannes P van Dijken; Jack T Pronk Journal: Antonie Van Leeuwenhoek Date: 2006-10-11 Impact factor: 2.271