Skip to main content
Journal of Genetic Engineering & Biotechnology logoLink to Journal of Genetic Engineering & Biotechnology
. 2017 Oct 18;16(1):29–37. doi: 10.1016/j.jgeb.2017.10.011

Partial purification and characterization of serine protease produced through fermentation of organic municipal solid wastes by Serratia marcescens A3 and Pseudomonas putida A2

Asif Iqbal a, Al Hakim a, Md Saddam Hossain a, Mohammad Rejaur Rahman a, Kamrul Islam a, Md Faisal Azim a, Jahed Ahmed a, Md Assaduzzaman b, Md Mozammel Hoq b, Abul Kalam Azad a,
PMCID: PMC6296650  PMID: 30647701

Abstract

Proteolytic bacteria isolated from municipal solid wastes (MSW) were identified as Serratia marcescens A3 and Pseudomonas putida A2 based on 16S rDNA sequencing. Protease produced through fermentation of organic MSW by these bacteria under some optimized physicochemical parameters was partially purified and characterized. The estimated molecular mass of the partially purified protease from S. marcescens and P. putida was approximately 25 and 38 kDa, respectively. Protease from both sources showed low Km 0.3 and 0.5 mg ml−1 and high Vmax 333 and 500 µmole min−1 at 40 °C, and thermodynamics analysis suggested formation of ordered enzyme-substrate (E-S) complexes. The activation energy (Ea) and temperature quotient (Q10) of protease from S. marcescens and P. putida were 16.2 and 19.9 kJ/mol, and 1.4 and 1.3 at temperature range from 20 to 40 °C, respectively. Protease of the both bacterial isolates was serine and cysteine type. The protease retained approximately 97% of activity in the presence of sodium dodecyl sulphate. It was observed that the purified protease of S. marcescens could remove blood stains from white cotton cloth and degrade chicken flesh remarkably. Our study revealed that organic MSW can be used as raw materials for bacterial protease production and the protease produced by S. marcescens A3 might be potential for applications.

Keywords: Municipal solid wastes, Purified protease, Activation energy, Kinetics, Blood stains

1. Introduction

Protease enzyme catalyzes the hydrolysis of proteins into small peptide fractions and amino acids [24]. It is one of the major groups of enzymes produced and account for 60% of the worldwide sales of the total industrial enzymes [39]. Protease has widespread application fields and mostly used in detergent, leather, textile, food and pharmaceutical industries [4], [7], [8], [25], [28]. Bacterial protease is mostly extracellular, easily produced in larger amounts, thermostable, and active at a wider pH range [6]. Because of easy handling, stability and low cultivation cost, bacteria are fascinating sources for protease production [25]. The industrial application of protease highly depends on their stability throughout fermentation, isolation, purification and storage, and it also depends on their activity against solvent, surfactants and oxidants [20], [21], [34], [46], [51]. Kinetic study determines the rate of activation and inactivation of enzyme [15], and are indispensable for the evaluation of biotechnological potentiality of any new strain for the development of enzyme-based process in industry [38], [40].

Municipal solid wastes (MSW) management in Bangladesh involves collection and dumping of wastes in open field or throwing haphazardly resulting environmental pollution, public health hazards and climate change due to methan gas genration. About 16,015 tons of solid wastes are generated each day from the six divisional cities and other urban areas of Bangladesh, and it is estimated that this amount will rise up to 47,000 tons per day by 2025 [11]. Almost 70–80% of MSW is organic material [3]. The large amount of organic MSW (OMSW) should be bioconverted into bioresources through production of commercially important products as well as renewable biomass energy and thus to mitigate climate change and environmental pollution caused by unmanaged MSW. However, there is no initiative in Bangladesh to utilize the OMSW to produce commercially value added products.

In industries, enzymes are produced by cultivating microorganisms in synthetic medium and the cost of the culture medium corresponds to approximately 60–80% of the total production cost of enzymes [31]. The OMSW supports the growth of different microorganisms [8], and thus, the enzyme production cost by using OMSW as a raw material could be substantially reduced. Our previous study showed that the OMSW was used as nitrogen and carbon sources in fermentation for protease production by the bacterial isolates in shake flask level [8]. However, the bacterial isolates were not identified based on molecular approaches and crude protease produced in shake flask fermentation was used for partial characterization [8]. In the present study, we have identified the bacterial isolates based on the genetic tool 16S rDNA sequence. Herein, we reported protease production from these bacterial isolates by using OMSW as raw material in the bioreactor, and protease was partially purified and characterized to investigate their potential applications.

2. Materials and methods

2.1. Source of organisms

The bacterial cultures used in the present study were previously isolated from MSW and identified as Serratia marcescens and Pseudomonas sp. based on morphological, cultural and biochemical characteristics [8]. The organisms were maintained on nutrient agar slants in the refrigerator at 4 °C. Subcultures were performed from these slants at 15 days interval.

2.2. 16S rDNA gene sequencing

The genomic DNA of the two isolates was extracted by using Favorgen Cultured Cell Genomic DNA Extraction Kit in accordance with the manufacture instruction (Favorgen Biotech Corporation, Taiwan). The polymerase chain reaction (PCR) was performed in a thermocycler SimpliAmp TM (Thermo Fisher Scientific Inc; USA). The 16S rDNA was amplified by using a universal forward primer (5′-AGAGTTTGATCCTGGCTCAG-3′), and reverse primers (5′-CGGTTACCTTGTTACGACTT-3′) for S. marcescens and (5′-CCG TACATTCMTTTRAGTTT-3′) for Pseudomonas sp [17]. Amplification reactions were performed in a total volume of 25 µl containing 1 µl of each 5 µM primer, 2 µl of template DNA (≤250 ng), 12.5 µl of 2x G2 hot start colorless master mix (Promega, Madison, WI, USA) and 8.5 µl of nuclease free water. The thermocycler was programmed for 1 cycle at 94 °C for 2 min; 35 cycles at 94 °C for 30 s, at 55 °C for 30 s and at 72 °C for 2 min; 1 cycle at 72 °C for 10 min. PCR products were purified from agarose gel by an extraction kit (ATP™ Gel/PCR Extraction Kit, ATP Biotech Inc., Taiwan) and sequenced by a DNA Sequencer (Model 3130, ABI Automated Genetic Analyzer, Hitachi, Japan). The 16S rDNA sequences were analyzed using a free computer program Chromas 2.6.2. The sequence was searched for similarities in the BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi) search program. The sequence was aligned with the similar sequences by using Clustal Omega (http://www.ebi.ac.uk/Tools/msa/clustalo/) and a phylogenetic tree was constructed using Molecular Evolution Genetic Analysis (MEGA), version 5.0 [50] as described previously [9].

2.3. Protease production in the bioreactor

Fermentation of OMSW for protease production was carried out in a bioreactor (Fermac 360, Electrolab, UK). The inoculum size of the seed culture was 10% of the total fermentation broth. For seed culture, a fresh isolated bacterial colony was inoculated in a basal media (l.0% glucose, 0.5% peptone, 0.5% yeast extracts, 0.1% K2HPO4 and 0.01% MgSO4; pH 7.0) and incubated at 37 °C and 120 rpm for 20 h. Ten ml of this culture was inoculated to 90 ml of MSW media (2–4% of proteinous and cellulosic MSW, 0.1% K2HPO4, and 0.01% MgSO4, pH 7.0) and incubated in a shaker incubator at 120 rpm for 20 h. The temperature for cultivation was 30 °C for S. marcescens and 37 °C for P. putida. Two hundred ml of this seed culture was aseptically transferred into the bioreactor containing 1.8 L MSW media. Fermentation was carried out at pH 8.0, 30 °C for 24–28 h for S. marcescens and at pH 7.0 and 37 °C for 36–38 h for P. putida. During fermentation, the aeration was 1vvm and the agitation was 120 rpm. After fermentation, cells were separated by centrifugation at 8000 rpm for 15 min at 4 °C, and the supernatant was used as a source of protease.

2.4. Enzyme assay and protein estimation

Protease activity was determined by using azocasein as a substrate according to the method described previously [8]. Total protein concentration was determined by Bradford protein assay kit (1x dye, Bio-Rad, USA) using bovine serum albumin as a standard protein.

2.5. Partial purification of protease

The cultural supernatant was fractionated with 30%, 60% and 90% of ammonium sulphate saturation. The precipitate of each fraction was recovered by centrifugation at 8000 rpm for 10 min at 4 °C. The pellet of each fraction was dissolved in 10 mM Tris-HCl buffer (pH 7.0) and dialyzed against the same buffer overnight at 4 °C. The protease activity and protein content of the dialysed samples were measured. The fraction with protease activity inhibited by phenylmethyl sulphonyl fluride (PMSF) was considered as the source of serine protease and applied to diethylaminoethylene cellulose (DEAE-cellulose) column (Econo-Pac, 14 cm length, 20 ml bed volume; Bio-Rad, USA) previously equilibrated with 10 mM Tris-HCl buffer (pH 7.0). The bound proteins were eluted with NaCl gradients (0.15–0.6 M prepared in 10 mM Tris-HCl buffer (pH7.0)) at a flow rate of 0.3 ml/min using BioLogic Low-Pressure Liquid Chromatography System (BioLogic LP, Bio-Rad, USA). The eluted fractions were dialyzed against the 10 mM Tris-HCl buffer and assayed for the protease activity. The fractions with protease activity were pooled and concentrated with 90% ammonium sulphate saturation. The resultant precipitate was collected by centrifugation, dissolved in 10 mM Tris-HCl buffer (pH 7.0) and dialyzed against the same buffer. The protease activity and protein concentration of each fraction was measured as mentioned above. The molecular mass of proteins was determined by sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE) on 12.5% polyacrylamide resolving gel.

2.6. Effects of pH on protease

The effects of pH on the activity of the partially purified protease were investigated by conducting assay with buffers of different pH in the range of 4.0–11.0. Buffers of different pH (citrate buffer, pH 4.0–6.0; phosphate buffer, pH 7.0–8.0; and Tris-HCl, pH 9.0–11.0) were used for the preparation of 50 mM azocasein solution. The pH stability of protease was studied as described previously [37]. In brief, the partially purified protease was treated for 1 h with different buffers covering the range of pH 4.0–11.0. Residual protease activities were assayed as described above.

2.7. Effects of temperature on protease

The optimum temperature of partially purified protease was determined by incubating reaction mixture of the enzyme at different temperatures (20–60 °C) as described previously [8]. The thermo stability of purified protease was investigated by pre-incubating the enzyme for 1 h at different temperatures (20–60 °C) and the residual protease activity was then determined under standard assay condition. The activation energy (Ea) of protease was determined by using azocasein as a substrate at several temperatures ranging from 20 to 40 °C. The Ea was calculated from the slope of linear Arrhenius plot (1) of ln [Protease Activity] versus 1/T, where Ea = −slope × R, R (gas constant) = 8.314 J/K/mole, and T is the absolute temperature in Kelvin (K) [36], [44].

ln(protease activity)=-EaR×1T+lnA (1)

The effect of temperature on the rate of reaction was expressed in terms of temperature quotient (Q10), which is the factor by which the rate increases due to raise in the temperature by 10 °C. The Q10 was calculated using the following Eq. (2) of Dixon and Webb [14].

Q10=antilogeE×10RT2 (2)

where E = Ea = Activation energy; all the formulas in this study were typed by a standard tool, 'MATLAB Toolboxes' as described by Valipour [51].

2.8. Determination of kinetic parameters

For determining the Km and Vmax of the partially purified protease, azocasein was used as a substrate upto a concentration 0.2–2.2 mg/ml under optimum condition. The kinetic parameters were calculated by using Lineweaver-Burk double-reciprocal plot [12]. The reciprocal of substrate concentration (1/[S]) was plotted against the reciprocal of reaction rate (1/Vo) by using following Eq. (3).

1V0=KmVmax×1[S]+1Vmax (3)

where Km is the Michaelis–Menten constant, indicates substrate concentration at which the reaction rate is half of the Vmax. The [S] is the concentration of substrate, V0 and Vmax represent the initial and maximum velocity of a reaction, respectively.

2.9. Determination of thermodynamic parameters

The thermodynamic parameters for azocasein hydrolysis were calculated using Eyring’s absolute rate Eq. (4) derived from the transition state theory [16].

Kcat=kBTh×e-ΔH#RT×eΔS#R (4)

where kB is the Boltzmann’s constant (1.3805 × 10−23 J/K), h is the Planck’s constant (6.6256 × 10−34 Js), T is the absolute temperature in Kelvin (K), R is the gas constant (8.314 J/K/mol), ΔH# is the change in enthalpy, and ΔS# is the change in entropy.

The value of activation Gibbs free energy (ΔG#) and enthalpy (ΔH#) were calculated by using the Eqs. (5), (6), respectively.

ΔG#=-RTlnKcathkBT (5)
ΔH#=Ea-RT (6)

From Eqs. (5), (6), the value of activation entropy (ΔS#) was calculated by using following equation:

ΔS#=ΔH#-ΔG#T (7)

The free energy of substrate binding and transition state formation was calculated using the following derivations:

Free energy of substrate binding(ΔGE-S#)=-RTln(Ka) (8)

where Ka = 1/Km

Free energy for transition state formation(ΔGE-T#)=-RTlnKcatKm (9)

2.10. Effects of inhibitors on the partially purified protease

To detect the type of protease, the partially purified proteases were treated for 1 h with 1 mM solution of PMSF, 1, 10 phenanthroline, ethylene diamine tetra-acetic acid (EDTA), mercuric chloride, 25 μM solutions of pepstatin and leupeptin. PMSF, pepstatin and 1, 10 phenanthroline were solubilized in 50% (w/v) ethanol in 50 mM Tris-HCl buffer (pH 7.0) and rests of the inhibitors were dissolved in 50 mM Tris-HCl buffer (pH 7.0).

2.11. Effects of metal ions on protease activity

The partially purified protease was treated for 1 h with each of 10 mM metal ion prepared in 50 mM Tris-HCl buffer, pH 7.0. The metals were CaCl2, FeCl3, HgCI2, MgCl2, KCl and ZnCl2. The protease activity was then assayed as described above.

2.12. Effects of surfactants and oxidizing agent on partially purified protease

The effects of different surfactants and oxidizing agent on the activity of the purified protease were studied by treating the enzyme for 2 h at room temperature. One percent of different surfactants and oxidative agents (Tween-20 in v/v, SDS in w/v and H2O2 in v/v) were used. The residual protease activity was assayed as described above.

2.13. Removal of blood stains and degradation of chicken flesh by the partially purified protease

To investigate the blood stain removal capability of the partially purified protease, clean white cotton cloth pieces (4 cm2) were stained with chicken blood for 10 min and then dried for 5 min at 70 °C. The stained cloth pieces were soaked in 2% formaldehyde and washed with distilled water to remove execs blood from the cloth pieces [34], [41]. The stained cloth pieces were then treated with 25 ml of purified protease solution; (total protease activity was 1557 U/ml) in the 50 ml conical flasks. One control contained distilled water with white cotton cloth piece and another control contained distilled water with blood stained cotton cloth piece. The conical flasks containing the cloth pieces were incubated at 40 °C and 120 rpm for 1 h. After incubation, the cloth pieces were dried at room temperature for 1 h and observed for evaluating the stains removal capability of the partially purified protease. Degradation of chicken flesh with the protease was investigated as described previously [8].

2.14. Statistical analysis

For statistical analysis, Student’s ‘t’ test was used. A p value of <0.05 was considered statistically significant. Data were presented as the Means ± SEM of at least three independent experiments, or as noted in the figure legends.

3. Results and discussion

3.1. Molecular identification of bacterial isolates

In the previous study, bacterial isolates were identified as Pseudomonas and Serratia based on cultural, morphological and biochemical characteristics [8]. The 16S rDNA gene sequencing was performed for molecular identification of the species of these two isolates. The PCR amplicons of the genomic DNA of Pseudomonas and Serratia isolates with the primers mentioned earlier was approximately 900 and 1550 base pair, respectively. BLAST similarity search with the DNA sequences of PCR amplicon obtained from Pseudomonas (DDBJ, EMBL and Gene Bank accession no. LC177213) and Serratia (DDBJ, EMBL and Gene Bank accession no. LC177214) revealed that these isolates were like Pseudomonas and Serratia spp. Phylogenetic tree constructed with the similar sequences showed that the Pseudomonas and Serratia isolates were closely related to the strains of Pseudomonas putida and Serratia marcescens, respectively (Fig. 1). We named them as Pseudomonas putida A2 and Serratia marcescens A3.

Fig. 1.

Fig. 1

Phylogenetic tree showing the relationship of P. putida A2 and S. marcescens A3 with other species of Pseudomonas and Serratia, respectively. The evolutionary history was inferred using the Neighbor-Joining method. The genetic distance was estimated by the p-distance method. Serratia marcescens and Pseudomonas putida isolated and identified in this study are underlined. The accession numbers of Pseudomonas and Serratia species to which the phylogenetic tree has been constructed are shown in the right column.

3.2. Protease production in the bioreactor using OMSW

In order to produce protease using OMSW, the carbon and nitrogen (glucose, peptone and yeast extract) sources of the basal media were replaced by 2, 3 and 4% each of cellulosic and proteinous MSW. The highest level of protease was produced with 3% of OMSW (Fig. 2). Interestingly, almost similar level of protease was produced when the carbon and nitrogen sources of the basal media was substituted by 3% of cellulosic and proteinous MSW, indicating that OMSW might be suitable for protease production. Protease production by the both bacterial isolates with OMSW was optimized in shake flask and bioreactor. Optimization is the important strategy to maximize the yields [51], [52], [53], [54]. The optimum temperature, pH and agitation for fermentation of OMSW for maximum production of protease by S. marcescens at shake flask and bioreactor was 30 °C, 8.0 and 120 rpm, respectively, whereas those for P. putida was 37 °C, 7.0 and 120 rpm, correspondingly (data not shown). Optimum fermentation period for protease production by S. marcescens and P. putida at shake flask was 30 h and 42 h, respectively. However, optimum fermentation period for protease production in the bioreactor by the both isolates was reduced by 6 h compared to at shake flask.

Fig. 2.

Fig. 2

Production of protease by S. marcescens A3 (A) and P. putida A2 (B) using OMSW. Black and gray bars indicated the protease level produced during fermentation at shake flask and bioreactor, respectively. The fermentation with S. marcescens was carried out under temperature, pH, and agitation at 30 °C, 8.0 and 120 rpm, respectively. These conditions for P. putida were correspondingly 37 °C, 7.0 and 120 rpm. The aeration in the bioreactor was maintained at 1 vmm. Results are mean ± SEM of repeated experiments (n = 3).

In the bioreactor under controlled conditions of temperature, pH, agitation and aeration, the protease production was scaled-up about 2–2.5 fold compared to at the shake flask (Fig. 2). This result further indicated that the both isolates produced almost the same level of protease with OMSW. Growth kinetics during the time course study showed that the protease production was growth-associated (data not shown).

3.3. Characterization of partially purified protease

3.3.1. Molecular weight of protease

Crude protease from S. marcescens and P. putida had specific activity 403.9 and 312.5 U/mg protein, respectively. Protease from both bacteria was precipitated by 60% and 90% ammonium sulphate saturation. However, protease from S. marcescens was also precipited with 30% (NH4)2SO4 saturation. This result indicated that both bacterial isolates might have more than one protease. The 90% saturated protease from the both isolates was further purified by DEAE-cellulose chromatography. Purification of protease obtained from S. marcescens resulted in a final 52-fold purified protease with specific activity of 21,081 U/mg proteins and a typical yield of 7.5%. Purification of protease from P. putida resulted in a final 62-fold purified protease with specific activity of 19,267 U/mg proteins and a typical yield of 8.6%. The partially purified protease appeared as a prominent single protein band on 12.5% SDS-PAGE as compared to the crude sample. Appearance of a prominent single band in SDS-PAGE indicated that the purified protease of Serratia and Pseudomonas isolates was a homogenous monomeric protein with molecular mass of 25 and 38 kDa, respectively (Fig. 3). These results are consistent with the reports which showed that the molecular mass of serine proteases was between 18 and 35 kDa [39]. Rao et al. [39] further reported that cysteine protease had molecular mass between 32 and 50 kDa. However, the molecular mass of protease depends on their types and bacterial species. The molecular mass of alkaline protease from Bacillus sp is less than 50 kDa [47], whereas that of alkaline protease from halophilic bacteria is between 40 to 130 kDa [2].

Fig. 3.

Fig. 3

SDS-PAGE of the partially purified proteases from S. marcescens and P. putida. Molecular masses of the standard proteins are shown in lanes 1 and 6. An equal amount of protein 3.4 µg was applied in every lane. Lanes 2 and 3 indicated the crude and purified protease of P. putida, respectively, and lanes 4 and 5 indicated the crude and purified protease of S. marcescens, respectively.

3.3.2. Effects of pH on protease activity and stability

The partially purified protease of the both isolates was significantly active over a broad pH range from 5.0 to 9.0 having the maximum activity at pH 7.0 (Fig. 4). However, protease in our study was less active at alkaline condition compared to protease produced by P. aeruginosa ATCC 27853 [26] and B. horikoshii [27]. In a study of Nam et al [35] protease produced by Serratia marcescens S3-R1 was active at pH 7–9 [33], [49]. However, pH optima may differ based on different substrates. The purified protease from the isolates was almost stable at pH 6.0–9.0. However, about 40% activity was lost when the enzyme solution was treated at pH 10.0.

Fig. 4.

Fig. 4

Effects of pH on activity (A) and stability (B) of protease from S. marcescens and P. putida isolates. Filled and open circles indicate the activity and stability of protease from S. marcescens, respectively and filled and open rectangles indicate those of protease from P. putida, correspondingly.

3.3.3. Effects of temperature on protease activity and stability

The partially purified protease from S. marcescens and P. putida was active within a wide range of temperatures with the optimum at 40 °C (Fig. 5A & B). However, almost similar protease activity was observed at 40–50 °C. The purified protease was almost stable up to 45 °C (Fig. 5C). Nevertheless, stability of protease from both bacteria sharply reduced when the enzyme was heated beyond 45 °C and approximately 75% of protease stability was lost at 60 °C. These results indicated that the protease from the both sources can be applied at a wide range of temperature above the room temperature. The temperature optima and thermostability of protease vary based on the type of bacterial species. It is a well-known fact that protein conformation changes at higher temperatures, hence causes a decrease in the protease activity [29]. Nevertheless, the protease from halo tolerant B. subtilis retains its full activity after 30 min of incubation in the temperature ranging from 37 to 55 °C [1].

Fig. 5.

Fig. 5

Effects of temperature on activity of protease from S. marcescens (A) and P. putida (B). The Arrhenius plot for determining the Ea of protease from S. marcescens (A) and P. putida (B) are shown in the insets. Effects of temperature on stability of protease from S. marcescens (circles) and P. putida (rectangles) isolates are shown in C.

The enzyme-catalyzed reaction may show more complex temperature dependence because increased temperature may provoke conformational change and even denaturation that lower the effectiveness of the enzyme [43]. It is clearly revealed (Fig. 5A & B) that activity of protease from S. marcescens and P. putida reduced over 40 °C, suggesting that inactivation of protease started from or above 40 °C. Therefore, the activation energy (Ea) for the azocasein hydrolysis was calculated at temperature 20–40 °C by using Arrhenius plot. The Arrhenius plots (insets of Fig. 5A & B) for the protease from both bacteria showed a linear variation with temperature increase, suggesting that the protease from both sources has a single conformation up to the transition temperature [13]. The Ea of the protease from S. marcescens and P. putida was 16.2 and 19.9 kJ/mol, respectively. However, Hernandez-Martinez et al. [22] reported comparative higher activation (62 kJ/mol) for a similar neutral serine protease from Aspergillus fumigates. The low Ea values measured for the protease from both bacteria suggest that less energy is required to form activated complex of azocasein hydrolysis, thus indicating an effective hydrolytic capacity of the protease from both bacteria [45], [48].

To investigate the effects of temperature on the rate of protease reaction, we examined the temperature quotient (Q10) which is a value used to infer whether or not the metabolic reactions being examined are controlled by temperature or by some other factors [14]. The values of Q10 for the protease of S. marcescens and P. putida were approximately 1.2 and 1.3 at 20–40 °C, respectively. In general, enzymatic reactions show Q10 values between 1 and 2 and any deviation from this value is indicative of involvement of some factor other than temperature in controlling the rate of reaction. A Q10 value of 2 suggests doubling of the rate of reaction with every 10 °C rise in temperature [14].

3.3.4. Kinetic and thermodynamic parameters

The maximum velocity (Vmax), Michaelis–Menten constant (Km), turn over number (Kcat), and catalytic efficiency (Kcat/Km) are important parameters for most of the enzyme-catalyzed reactions. The values of Vmax, Km, Kcat, and Kcat/Km measured for the partially purified protease were summarized in Table 1. The Km value of an enzyme indicates the affinity of the enzyme for its substrate: a low value of this parameter indicates a higher affinity [36]. It was observed that purified protease of S. marcescens had high affinity for its substrate compare to the purified protease of P. putida with Km value 0.3 and 0.5 mg/ml, respectively. The Vmax is the amount of enzyme involve in the enzymatic reaction. The Vmax values for the protease from both bacteria were 333 and 500 µmole/min, respectively. The Kcat value for the protease of P. putida was higher than the protease of S. marcescens, which can be attributed to the high number of conformationally active enzyme molecules. The Kcat/Km values for the protease of both bacteria were 37 and 27.5 s−1/mg/ml. The Kcat/Km is the measure of the enzyme’s catalytic efficiency and depends on how often the enzyme encounters substrate molecules in active conformation [10]. Results indicated that the protease from both bacteria had high affinity for its substrate and efficient catalytic role in the enzyme-catalyzed reaction compared to literature reported neutral protease from Streptomycin sp. A6 [45], acidic protease from Aspergillus oryzae [13], and alkaline proteases from Bacillus clausii GMBAE 42 [30] and Pseudomonas aeruginosa PseA [20].

Table 1.

Kinetic and thermodynamic parameters for azocasein hydrolysis by partially purified protease of S. marcescens and P. putida isolates.

Kinetic studies
Thermodynamic studies
Parameters S. marcescens P. putida Parameters S. marcescens P. putida
Km (mg/ml) 0.33 0.5 Ea (kJ/mole) 16.2 19.9
Vmax (µmole/min) 333.3 500 ΔH# (kJ/mole) 13.6 17.3
Kcat (s−1) 9.1 18.5 ΔG# (kJ/mole) 71 69.2
Kcat/Km (s−1/mg/ml) 27.5 37 ΔS# (kJ/mole) −0.18 −0.17
ΔG#E-S (kJ/mole) 5.7 7.6
ΔG#E-T (kJ/mole) −8.6 −9.4

The thermodynamic parameters for azocasein hydrolysis are shown in Table 1. The negative values of entropy (ΔS#) for the protease of S. marcescens and P. putida suggest the formation of a more ordered enzyme-substrate (E-S) complex at the transition state of enzyme-catalyzed reaction [10], [23]. The Gibbs free energy (ΔG#) is the measure of spontaneity of any reaction [42]. Low ΔG# values for both bacteria signify that the conversion of a transition state E-S complex into a product was more spontaneous than the native protease. For both bacteria, low values of free energy for substrate binding (ΔG#E-S) and transition state formation (ΔG#E-T) indicate the high affinity of protease for azocasein hydrolysis [10].

3.3.5. Effects of protease inhibitors

The protease of S. marcescens and P. putida was classified based on their responses to different protease inhibitors. The protease obtained from S. marcescens and P. putida was strongly inhibited by PMSF and HgCl2 but not by EDTA (Table 2). The effects of protease inhibitors revealed that the protease from S. marcescens and P. putida was serine and cysteine type [8].

Table 2.

Effects of different protease inhibitors on the activity of partially purified protease from S. marcescens and P. putida.

Inhibitors Concentration Relative activity (%) of purified protease from
S. marcescens P. putida
Controla None 100 100
PMSF 1 mM 35 ± 1 47 ± 1
1, 10 phenanthroline 1 mM 90 ± 3 81 ± 1
HgCl2 1 mM 10 ± 2 7 ± 1
EDTA 1 mM 93 ± 1 95 ± 3
Leupeptin 25 µM 86 ± 1 92 ± 2
Pepstatin 25 µM 91 ± 4 73 ± 1
a

The control represents the activity of protease without treatment of any protease inhibitor and was considered as 100%. Results are presented as the Mean (n = 3) ± SEM.

3.3.6. Effects of metal ions on protease activity

Mg2+, Ca2+ and K+ were very strong activators as they significantly increased the activities of protease from the both isolates. In the presence of Mg2+, Ca2+ and K+, the activity of purified protease from S. marcescens was increased 20, 25 and 26%, respectively and that from P. putida was increased correspondingly 33, 12 and 5% (Table 3). In contrast, Hg2+ and Zn2+ severely inhibited the activities of the protease. It was also reported by Annapurna et al. [5] that the activity of alkaline protease from S. marcescens was increased due to the presence of CaCl2 and inhibited in the presence of HgCl2.

Table 3.

Effects of metal ions on the activity of partially purified protease of S. marcescens and P. putida.

Metal ions (10 mM) Relative activity (%) of purified protease from
S. marcescens P. Putida
Controla 100 100
Mg2+ 120 ± 2 132 ± 4
Ca2+ 125 ± 4 112 ± 4
Hg+ 5 ± 2 15 ± 3
Zn+ 10 ± 3 15 ± 3
K+ 126 ± 1 105 ± 1
a

Protease activity without treatment by any metal ions was considered as control and its activity was 100%. Results are presented as the Mean (n = 3) ± SEM.

3.3.7. Effects of surfactant and oxidizing agents on protease activity

For detergent formulation with protease, it is very important to investigate the protease stability in the presence of surfactants and oxidizing agents [18]. Commercial detergent proteases such as Esparase, Alcalase, Carlsberg, Savirage and Subtilisin are stable in the presence of surfactants and oxidizing agents [19]. The activity of purified protease of S. marcescens and P. putida was enhanced by approximately 30% and 5%, respectively in the presence of tween 20, a non-anionic surfactant. In the presence of SDS, a strong anionic surfactant, the purified protease of S. marcescens and P. putida could retain its activity 97% and 83%, respectively (Table 4). Li et al. [32] and Gupta et al. [20] reported similar results for protease from Serratia sp and P. aeruginosa PseA, respectively. These literatures also indicated that protease from Serratia sp. was more stable against non-anionic and anionic surfactants compare to protease from Pseudomonas sp. According to an earlier study, most of proteases are unstable in the presence of oxidizing agent like H2O2 [19]. The similar result was obtained in our present study. H2O2 inhibited the activity of the purified protease from S. marcescens and P. putida approximately 20% and 35%, respectively (Table 4). This data indicated that protease obtained from S. marcescens retained good stability and activity against surfactants and oxidizing agent.

Table 4.

Effects of surfactants and oxidizing agent on the partially purified protease of S. marcescens and P. putida.

Surfactants and oxidizing agent Concentration (%) Relative activity (%) of purified protease from
S. marcescens P. putida
Controla None 100 100
Tween-20 1 133 ± 2 103 ± 3
SDS 1 97 ± 1 83 ± 3
H2O2 1 84 ± 1 66 ± 4
a

Protease activity without any surfactant was considered as control and its activity was 100%. Results are presented as the Mean (n = 3) ± SEM.

3.3.8. Evaluation of blood stains removal and raw protein degradation capability of the partially purified protease

Proteases have wide range of applications in the detergent and laundry industries. Protease is primarily used as cleaning additives in the detergent industries [55]. In the blood stain removal experiment, visible inspection revealed that the partially purified protease of S. marcescens and P. putida removed 80–85% and 30–35% of stains from the cloth piece, respectively (Fig. 6). This result indicated that the purified protease of S. marcescens had more capability to remove blood stains from cloth compared to that of P. putida. When chicken flesh was treated with the purified protease as described previously [8], about 75% and 60% of dry weight of chicken flesh was lost by protease from S. marcescens and P. putida, respectively. These results indicated that the purified protease could successfully degraded the proteinous material.

Fig. 6.

Fig. 6

Removal of blood stains from cotton cloths by partially purified proteases. (A) untreated white cloth, (B) untreated blood stained cloth, (C) blood stained cloth treated with the partially purified protease of S. marcescens, and (D) blood stained cloth treated with the partially purified protease of P. putida.

4. Conclusions

Two proteolytic bacterial isolates were identified as S. marcescens and P. putida based on the 16S rDNA sequence. The OMSW was successfully used as raw material instead of commercial carbon and nitrogen source for production of industrially important bacterial protease. Some physicochemical parameters were optimized for fermentation of OMSW by the both bacterial isolates to produce protease. Proteases produced from the two bacterial isolates by using OMSW as raw materials were partially purified. The partially purified proteases from S. marcescens and P. putida with molecular mass of 25 and 38 kDa, respectively was serine and cysteine type. The kinetic parameters, the effects of surfactants, removal of blood stain from the white cloth and degradation of chicken flesh collectively revealed that the protease particularly from S. marcescens could be applicable as proteolytic agent. However, further study is necessary to determine the carbon nitrogen ratio in the OMSW media to enhance the level of protease production in the bioreactor and for molecular characterization of the protease produced by S. marcescens isolate.

Conflict of interest

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

This work was partially supported by grants in aid from The World Academy of Sciences (TWAS) for the Advancement of Sciences in Developing Countries (No. 12-150 RG/BIO/AS_G), the Ministry of Science and Technology, Bangladesh (No. 39.009.006.01.00.042.2012-13/BS-135/518), the Ministry of Education, Bangladesh (No. 37.20.0000.004.033.020.2016.7725) and University Grant Commission of Bangladesh.

The nucleotide sequences data reported in this paper has been deposited in DDBJ and will be found in the DDBJ/EMBL/GenBank nucleotide sequence databases with the accession number LC177213 and LC177214 for Pseudomonas sp. and Serratia sp., respectively.

Footnotes

Peer review under responsibility of National Research Center, Egypt.

References

  • 1.Abusham R.A., Rahman R.N., Salleh A.B., Basri M. Microb Cell Fact. 2009;8:1–9. doi: 10.1186/1475-2859-8-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ahmed I., Zia M.A., Iqbal H.M.N. World Appl Sci J. 2011;12:751–757. [Google Scholar]
  • 3.Alamgir M., Ahsan A. J Environ Health Sci Eng. 2007;4:67–76. [Google Scholar]
  • 4.Anwar A., Saleemuddin M. Biores Technol. 1998;64:175–183. [Google Scholar]
  • 5.Annapurna S.A., Amarnath S., Shashank G., Anupam K., Kumar H. Asian J Microbiol Biotechnol Environ Sci. 2002;14:591–596. [Google Scholar]
  • 6.Asker M.M., Mahmoud M.G., Shebwy K.E., Aziz M.S.A. J Genet Eng Biotechnol. 2013;11:103–109. [Google Scholar]
  • 7.Azad A.K., Shibatal H., Hoq M.M. Banglad J Microbiol. 2002;19:67–71. [Google Scholar]
  • 8.Azad A.K., Nahar A., Hasan M.M., Islam M.K., Azim M.F., Hossain M.S., Rahman M.R., Ojha R.K., Mahmud G.M.S., Kayes R. Asian J Microbiol Biotechnol Environ Sci. 2013;15:365–374. [Google Scholar]
  • 9.Azad A.K., Ahmed J., Alum M.A., Hasan M.M., Ishikawa T., Sawa Y., Katsuhara M. PLoS ONE. 2016;11:1–30. doi: 10.1371/journal.pone.0157735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Akolkar A.V., Desai A.J. Res Microbiol. 2010;16:355–362. doi: 10.1016/j.resmic.2010.04.005. [DOI] [PubMed] [Google Scholar]
  • 11.Bahauddin K., Uddin M. J Environ Sci Natl Resour. 2012;5:99–111. [Google Scholar]
  • 12.Beg Q.K., Saxena R., Gupta R. Biotechnol Bioeng. 2002;78:289–295. doi: 10.1002/bit.10203. [DOI] [PubMed] [Google Scholar]
  • 13.de Castro R.J.S., Sato H.H. J Food Process. 2014;2014:1–12. [Google Scholar]
  • 14.Dixon M., Webb E.C. Academic Press; New York, USA: 1979. Enzymes. [Google Scholar]
  • 15.Dutta J.R., Dutta P.K., Baberjee R. Ind J Biotechnol. 2005;4:127–133. [Google Scholar]
  • 16.Eyring H., Stearn A.E. Chem Rev. 1939;24:253–270. [Google Scholar]
  • 17.Fouad A.F., Barry J., Caimano M., Clawson M., Zhu Q., Carver R., Hazlett K., Radolf J.D. J Clin Microbiol. 2002;40:3223–3231. doi: 10.1128/JCM.40.9.3223-3231.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ghorbel S., Kammoun M., Soltana H., Nasri M., Hmidet N. Biomed Res Int. 2014;2014:1–8. doi: 10.1155/2014/345980. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gupta R., Gupta K., Saxena R.K., Khan S. Biotech Lett. 1999;21:135–138. [Google Scholar]
  • 20.Gupta A., Roy I., Khare S.K., Gupta M.N. J Chromatogr A. 2005;1069:155–161. doi: 10.1016/j.chroma.2005.01.080. [DOI] [PubMed] [Google Scholar]
  • 21.Hadj-Ali N.E., Agrebi R., Frikha B.G., Kamoun A.S., Kanoun S., Nasri M. Enzyme Microb Technol. 2007;40:515–523. [Google Scholar]
  • 22.Hernández-Martínez R., Gutiérrez-Sánchez G., Bergmann C.W., Loera-Corral O., Rojo-Domínguez A., Huerta-Ochoa S., Regalado-González C., Prado-Barragán L.A. Process Biochem. 2011;46:2001–2006. [Google Scholar]
  • 23.Homaei A. J Mol Catal B Enzym. 2015;118:16–22. [Google Scholar]
  • 24.Ibrahim K.S., Muniyandi J., Pandian S.K. J Microbiol Biotechnol. 2011;21:20–27. doi: 10.4014/jmb.1009.09001. [DOI] [PubMed] [Google Scholar]
  • 25.Iqbal I., Aftab M.N., Afzal M., Rehman A., Aftab S., Zafar A., Uddin Z., Khuharo A.R., Iqbal J., Haq I. J Basic Microbiol. 2015;55:160–171. doi: 10.1002/jobm.201400190. [DOI] [PubMed] [Google Scholar]
  • 26.Izrael-Živković L., Gojgić-Cvijović G., Karadžić I. J Ser Chem Soc. 2010;75:1041–1052. [Google Scholar]
  • 27.Joo H.S., Kumar C.G., Park G.C., Kim K.T., Paik S.R., Chang C.S. Process Biochem. 2002;38:155–159. [Google Scholar]
  • 28.Joo H.S., Chang C.S. Process Biochem. 2005;40:1263–1270. [Google Scholar]
  • 29.Johnvesly B., Naik G. Process Biochem. 2001;37:139–144. [Google Scholar]
  • 30.Kazan D., Denizci A.A., Oner M.N.K., Erarslan A. J Ind Microbiol Biotechnol. 2005;32:335–344. doi: 10.1007/s10295-005-0260-z. [DOI] [PubMed] [Google Scholar]
  • 31.Kumar C.G., Takagi H. Biotechnol Adv. 1999;17:561–594. doi: 10.1016/s0734-9750(99)00027-0. [DOI] [PubMed] [Google Scholar]
  • 32.Li G.Y., Cai Y.J., Liao X.R., Yin J. J Ind Microbiol Biotechnol. 2011;38:845–853. doi: 10.1007/s10295-010-0855-x. [DOI] [PubMed] [Google Scholar]
  • 33.Malathi S., Chakraborty R. Appl Env Microbiol. 1991;57:712–716. doi: 10.1128/aem.57.3.712-716.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Najafi M.F., Deobagkar D., Deobagkar D. Electron J Biotechnol. 2005;8:79–85. [Google Scholar]
  • 35.Nam MS, Whang KS, Choi SH, Bae HC, Kim YK, Park YW. J. Sci. Food Agric 2013;93:3876–82. [DOI] [PubMed]
  • 36.Ortiz G.E., Noseda D.G., Mora M.C.P., Recupero M.N., Blasco M., Albertó E. Enzyme Res. 2016;2016:1–12. doi: 10.1155/2016/3016149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Phadatare S.U., Deshpande V.V., Srinivasan M.C. Enzyme Microb Technol. 1993;15:72–76. [Google Scholar]
  • 38.Prakasham R., Rao C.S., Sarma P. Biores Technol. 2006;97:1449–1454. doi: 10.1016/j.biortech.2005.07.015. [DOI] [PubMed] [Google Scholar]
  • 39.Rao M.B., Tanksale A.M., Ghatge M.S., Deshpande V.V. Microbiol Mol Biol Rev. 1998;62:597–635. doi: 10.1128/mmbr.62.3.597-635.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Rao S.C., Madhavendra S.S., Rao R.S., Hobbs P., Prakasham R.S. Appl Biochem Biotechnol. 2008;150:65–83. doi: 10.1007/s12010-008-8147-x. [DOI] [PubMed] [Google Scholar]
  • 41.Rao S.C., Sathish T., Ravichandra P., Prakasham R.S. Process Biochem. 2009;44:262–268. [Google Scholar]
  • 42.Riaz M., Parveen P., Javed M.R., Rashid M.H. Enzyme Microb Technol. 2007;41:558–564. [Google Scholar]
  • 43.Sant’Anna V, Corrêa APF, Daroit DJ, Brandelli A. Bioprocess Biosyst Eng 2013;36:993–8. [DOI] [PubMed]
  • 44.Secades P., Guijarro J. Appl Environ Microbiol. 1999;65:3969–3975. doi: 10.1128/aem.65.9.3969-3975.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Singh A.K., Chhatpar H.S. J Basic Microbiol. 2011;51:424–432. doi: 10.1002/jobm.201000310. [DOI] [PubMed] [Google Scholar]
  • 46.Sivasubramanian S.B., Manohar M., Rajaram A., Puvanakrishnan R. Chemosphere. 2008;70:1015–1024. doi: 10.1016/j.chemosphere.2007.09.036. [DOI] [PubMed] [Google Scholar]
  • 47.Sousa F., Jus S., Erbel A., Kokol V., Paulo A.C., Gubitz G.M. Enzyme Microb Technol. 2007;40:1772–1781. [Google Scholar]
  • 48.Souza P.M., Aliakbarian B., Filho E.X.F., Magalhae P.O., Jonior A.P., Converti A., Perego P. Int J Biol Macromol. 2015;81:17–21. doi: 10.1016/j.ijbiomac.2015.07.043. [DOI] [PubMed] [Google Scholar]
  • 49.Takami H., Nakamura S., Aono R., Horikoshi K. Biosci Biotechnol Biochem. 1992;56:1667–1669. doi: 10.1271/bbb.56.1455. [DOI] [PubMed] [Google Scholar]
  • 50.Tamura K., Peterson D., Peterson N., Stecher G., Nei M., Kumar S. Mol Biol Evol. 2011;28:2731–2739. doi: 10.1093/molbev/msr121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Valipour M. Meteorol Appl. 2016;23:91–100. [Google Scholar]
  • 52.Valipour M. Agriculture. 2016;6:53. [Google Scholar]
  • 53.Valipour M. Arch Agron Soil Sci. 2015;61:679–694. [Google Scholar]
  • 54.Valipour M. ARPN J Agri Biol Sci. 2013;8:35–43. [Google Scholar]
  • 55.Vishalakshi N., Lingappa K., Amena S., Prabhakar M., Dayanand A. Ind J Biotechnol. 2009;8:280–285. [Google Scholar]

Articles from Journal of Genetic Engineering & Biotechnology are provided here courtesy of Academy of Scientific Research and Technology, Egypt

RESOURCES