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Journal of Microbiology and Biotechnology logoLink to Journal of Microbiology and Biotechnology
. 2021 Nov 20;32(1):99–109. doi: 10.4014/jmb.2108.08037

Exoproduction and Biochemical Characterization of a Novel Serine Protease from Ornithinibacillus caprae L9T with Hide-Dehairing Activity

Xiaoguang Li 1, Qian Zhang 2, Longzhan Gan 1, Guangyang Jiang 1, Yongqiang Tian 1,*, Bi Shi 1,*
PMCID: PMC9628834  PMID: 34818664

Abstract

This study is the first report on production and characterization of the enzyme from an Ornithinibacillus species. A 4.2-fold increase in the extracellular protease (called L9T) production from Ornithinibacillus caprae L9T was achieved through the one-factor-at-a-time approach and response surface methodological optimization. L9T protease exhibited a unique protein band with a mass of 25.9 kDa upon sodium dodecyl sulfate-polyacrylamide gel electrophoresis. This novel protease was active over a range of pH (4–13), temperatures (30–80°C) and salt concentrations (0–220 g/l), with the maximal activity observed at pH 7, 70°C and 20 g/l NaCl. Proteolytic activity was upgraded in the presence of Ag+, Ca2+ and Sr2+, but was totally suppressed by 5 mM phenylmethylsulfonyl fluoride, which suggests that this enzyme belongs to the serine protease family. L9T protease was resistant to certain common organic solvents and surfactants; particularly, 5 mM Tween 20 and Tween 80 improved the activity by 63 and 15%, respectively. More importantly, L9T protease was found to be effective in dehairing of goatskins, cowhides and rabbit-skins without damaging the collagen fibers. These properties confirm the feasibility of L9T protease in industrial applications, especially in leather processing.

Keywords: Characterization, Ornithinibacillus caprae, optimization, serine protease, dehairing

Introduction

According to the China Leather Industry Association (www.chinaleather.org), China is one of the most active and promising leather trade markets in the world, with a genuine leather production of about 529 million square meters in 2019. The leather industry prevailingly uses skins, by-products of livestock, as raw materials for processing, involving many physical and chemical treatments such as soaking, degreasing, dehairing, pickling and tanning. Among these processes, the dehairing of animal hides is considered to be the most polluting [1]. The traditional dehairing method requires various toxic chemical reagents such as Na2S, NaHS and CaCl2 [2], which can cause serious environmental pollution through the discharge of toxic gases and solid waste [3, 4]. In order to overcome the hazards caused by chemicals, microbial proteases have been proposed as green alternatives [5].

Proteases represent a large and diverse group of hydrolytic enzymes involved in breaking down chains of amino acids. The peptide chains are repeatedly folded or supercurled to form a three-dimensional structure with active pockets or crevices. The shape of the catalytic pockets depends on the arrangement of amino acid residues, and only substrates of a certain size and shape can fit and bind to them. Thus, protease can efficiently cleave the peptide bond to break down protein into smaller and simpler mixtures [6]. In view of their specifity, high efficiency, and environmental friendliness, proteases are regarded as important industrial biocatalysts, which has caused an upsurge in the exploitation of protease-producing microorganisms [7]. To date, a large number of extracellular proteases have been reported and characterized from various microorganisms, including Paecilomyces marquandii MZKI B639 [8], Bacillus subtilis BLBc 11 [9], Lactobacillus curvatus R5 [10], Nocardiopsis dassonvillei OK-18 [11] and Streptomyces koyangensis TN650 [12]. It is worth noting that most of the reported extracellular proteases are serine proteases [13, 14], which display a broad range of biotechnological applications, including food production [15], feather degradation [16], stain washing [17] and skin dehairing [14]. As candidates for enzymatic dehairing, serine proteases can specifically attack only certain proteinaceous substances and the epidermis without damaging the skin collagen since they often lack collagenase activity [14, 18, 19]. This allows for the ability to retain the inherent collagen components in the dermis and recover high-quality leather while also reducing contaminants in wastewater.

Over the past decades, the reported extracellular serine proteases have been principally derived from Bacillus strains; however, no attention has been paid to the rare species of the genus Ornithinibacillus. At the time of writing, the genus Ornithinibacillus comprises 12 species with validly published names [20], and its members are usually aerobic moderate halophiles. Despite these studies, no report exists on the enzymes from Ornithinibacillus strains, as far as the authors know. Thus, further studies on enzymes produced by Ornithinibacillus strains are highly desirable in order to expand the existing toolbox of industrial enzymes and to realize potential applications. Previous work scientifically classified an extracellular protease-producing strain as Ornithinibacillus caprae L9T [21]. In view of the above, in this study, we adopted effective optimization strategies to improve the productivity of O. caprae L9T protease. Meanwhile, the biochemical and molecular characteristics of the protease sample were studied. Further, the crude enzyme was used as a biocatalyst for the dehairing of animal hides to estimate its application potential in the leather industry.

Materials and Methods

Microorganism and Reagents

O. caprae L9T, a moderately halophilic bacterium isolated from a goat hide [21], was deposited in the Korean Collection for Type Cultures (KCTC) and the laboratory of industrial biotechnology with the accession numbers KCTC 43176 and L9, respectively. Unless otherwise stated, all chemical reagents used in this work are analytically pure and obtained from several commercial companies, including Sangon Biotech (China), Sigma-Aldrich (USA), and Takara (Japan).

Genomic Analysis

The assembled genome of strain L9T was submitted to GenBank with the accession number WOCA00000000. The phylogenetic tree of the genomes of strain L9T and its related taxa was reconstructed using the Type Strain Genome Server (TYGS) [22]. Simultaneously, in order to assess the genetic diversity of strain L9T, the DNA sequences were performed with BLASTX search against the non-redundant (NR) protein database [23].

Protease Activity Assay

The protease activity was determined according to the procedure GB/T 23527-2009 [24] stated by the National Standardization Administration of China (SAC) with slight modifications. The appropriately diluted enzyme solution (0.2 ml) was mixed with 0.2 ml of 20 g/l casein dissolved in Tris-HCl buffer (50 mM, pH 7). The mixture was then incubated for 10 min at 70°C, and the reaction was quenched by addition of 0.4 ml of 65.4 g/l trichloroacetic acid (TCA). After violent shaking, the precipitated proteins were eliminated by centrifugation at 12,000 ×g and 4°C for 5 min. The resultant supernatant (0.4 ml) was then mixed with 2 ml of 42.4 g/l Na2CO3 and 0.4 ml of 1 M Folin & Ciocalteu's phenol reagent. Later, the mixture was allowed to stand for 20 min at 40°C, and the absorbance was monitored at 680 nm against the control using a UV/Vis spectrophotometer. Additionally, a negative control was performed in the same way and the substrate was added after adding TCA. In consequence, one unit of proteolytic activity (U/ml) was defined as the amount of enzyme required to liberate 1 μg of tyrosine per minute under specified assay conditions.

Optimization of Protease Production by Strain L9T

Strain L9T was precultured for 12 h in Luria-Bertani broth supplemented with 100 g/l NaCl as a seed solution to inoculate (2%, v/v) the subsequent enzyme-producing fermentation medium. Thereafter, the effect of fermentation variables on the enzyme production of O. caprae L9T was investigated using the one-variable-at-a-time approach and response surface methodology (RSM). The three independent variables (carbon source, nitrogen source and initial pH) that had the most significant impact on protease production were selected. Later, the optimum concentration and interaction of these three factors for enhancing the protease production was studied by Box-Behnken design (BBD). Each factor was studied at three different levels: -1, 0 and +1 (Table S1). A set of 17 experiments was generated by design expert software (Table S2), in which 5 experiments were repeated at the central level to evaluate the linear and curvature effects of the variables. Accordingly, the proteolytic activity was designated as a response, and the regression analysis, response surface model and significance tests were performed using DesignExpert software (Stat-Ease, Inc., USA).

Partial Purification of Protease

O. caprae L9T culture supernatant, containing secreted protease, was harvested through centrifugation at 8,000 ×g and 4°C for 5 min, and then dialyzed in a dialysis bag (8 kDa MWCO) against repeated changes of Tris-HCl buffer (pH 7). The dialyzed sample was prepared, and stored at 0°C for further analysis.

SDS-PAGE, Zymography and Mass Spectrometry

The purity and molecular weight of the enzyme were determined by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) according to the method of Laemmli [25] under denaturing conditions. In the meantime, the proteolytic activity was confirmed by zymography according to the method described by Garciacarreno et al. [26] with slight changes. Briefly, the enzyme sample, mixed with an equal volume of 2×SDS non-reducing loading buffer, without boiling, was electrophoresed at constant current. First, after electrophoresis, the gel was immersed in Tris-HCl buffer (50 mM, pH 7) supplemented with 2.5% (v/v) Triton X-100 to eliminate SDS. Second, the gel was washed twice in Tris-HCl buffer for 40 min with agitation to remove Triton X-100. Third, the hydrolysis reaction occurred inside the gel during incubation with 10 g/l casein at 40°C for 12 h. Finally, the gel was stained with a dye solution consisting of 1 g/l Coomassie Brilliant Blue R-250, 8% (v/v) acetic acid and 25% (v/v) ethanol for 12 h at room temperature. In general, the presence of a white band on a dark blue background indicates the existence of protease activity.

Thereafter, the area of active enzyme was extracted from the electrophoresis gel for reduction, alkylation, trypsin digestion, and desalting. The mixture containing peptides of different sizes was detected using liquid chromatography-tandem mass spectrometry (LC-MS/MS) at Sangon Biotech. Importantly, ProteinPilot software (version 4.5) was employed to retrieve the obtained peptide sequences in the GenBank database.

Biochemical Characterization

Determination of temperature on L9T protease activity and stability. A range of various temperatures (30–80°C at 5°C intervals) was used to determine the optimum temperature, and the maximum enzyme activity was considered as 100% activity. Thermostability of L9T protease was determined after incubation of the enzyme at 30–80°C for 1 h. The residual enzymatic activities were measured at the optimal temperature, and the enzyme that had not been incubated served as the 100% control.

Effect of pH on L9T protease activity and stability. The fermentation supernatant was dialyzed against Tris-HCl buffer (5 mM, pH 7) using an 8 kDa dialysis bag at 4°C for 24 h and the buffer was changed at 4 h intervals. Then, the dialyzed enzyme was diluted in several different pH buffers (pH 2–13) in order to estimate the impact of pH on proteolytic activity. Maximum enzyme activity for the buffer solution was considered as 100%. Five buffer systems (50 mM) including glycine-HCl (pH 2–4), CH3COONa-CH3COOH (pH 5–6), Tris-HCl (pH 7–9), glycine-NaOH (pH 10–11), and KCl-NaOH (pH 12–13) were used. Similarly, the pH stability was evaluated by preincubating the dialyzed enzyme in different pH buffers at 25°C for 1 h, and residual enzymatic activity was measured at pH 7 and 70°C. The unincubated enzyme activity measured with Tris-HCl buffer (50 mM, pH 7) was considered as a control (100%).

Effect of NaCl on L9T protease activity and stability. To investigate the effect of NaCl on proteolytic activity, the assay was performed at 70°C with L9T protease in the presence of varying salt concentrations (0–220 g/l). As for its salt tolerance, L9T protease was pre-incubated in different salinities (0–220 g/l with an interval of 20 g/l) for 1 h prior to determination of remaining activities. The activity of L9T protease in the absence of NaCl was calculated as 100%.

Effect of chemical agents on protease activity. The effects of various chemicals on protease catalysis were studied by pre-incubating L9T protease for 1 h with each reagent. Dimethyl sulfoxide (DMSO), H2O2 and nonionic surfactants, including Tween 20, Tween 80 and Triton X-100, were provided at the working concentration of 1%(v/v). Similarly, organic solvents, including acetone, benzene, ethanediol, ethanol, glycerol, n-hexane, isopropanol and methanol were evaluated at 5 and 10% (v/v), respectively. Other types of chemicals were used at a final concentration of 5 mM; reducing agents: dithiothreitol and β-mercaptoethanol; protease inhibitors: ethylene-diamine-tetraacetic acid (EDTA); phenylmethylsulfonyl fluoride (PMSF) and ethylene glycol-bis (β-aminoethyl ether)-N,N,N’,N’-tetraacetic acid (EGTA). The corresponding remaining activities were determined under the standard conditions, and the enzyme solution without any additives was set as a control.

Effect of different metal ions on protease activity. The effects of various monovalent (Li+, K+ and Ag+), divalent (Mg2+, Ca2+, Mn2+, Fe2+, Co2+, Cu2+, Zn2+, Sr2+ and Ba2+) and trivalent (Cr3+ and Fe3+) metal ions (5 mM) on protease stability were investigated by pre-incubating L9T protease for 1 h with each metal cation. The remaining activities were measured at pH 7 and 70°C, and the enzyme activity in the absence of any metal ions was considered 100%.

Substrate specificity. The hydrolysis capacities of L9T protease towards different protein substrates including azocasein, bovine serum albumin (BSA), casein, collagen and keratin were evaluated. All substrates were prepared with 50 mM Tris-HCl buffer (pH 7) at a final concentration of 20 g/l. Enzymatic activities were measured on each substrate according to standard conditions. The maximum activity was expressed as 100%, corresponding to the best substrate.

Dehairing of Animal Hides

Fresh cowhides, goatskins and rabbit skins were purchased from local farms, and permission was obtained from farmers to use these animal skins for experiments. The obtained animal hides were divided into square shapes of approximately 6 cm × 6 cm by a sharp knife. The small squares of hairy animal skin were rinsed with tap water to remove blood, mud, and insoluble impurities, and then drained at room temperature. Most of the squares were separately placed into flasks containing 100 ml of diluted enzyme solution (600 U) and 3% (w/w) Na2S, while the rest was soaked in 100 ml of Tris-HCl buffer (50 mM, pH 7) as a control. Later, all flasks were placed in a constant temperature shaker (38°C and 150 rpm) for 24 h. After incubation, the skins were taken out, and the potential of L9T protease for application in the leather industry was appraised by dehairing efficacy and histological examination.

Samples of approximately 1 cm2 in size were sliced from the goatskins and treated with L9T protease, Na2S, and Tris-HCl buffer. The samples were thoroughly washed and fixed with 40 g/l paraformaldehyde at indoor temperature for 24 h. After dehydration with ethanol, the samples were embedded in paraffin block and cut into slices of 3 μm by a microtome. The slices were stained using Masson’s trichrome staining and hematoxylin and eosin (HE), and then the stained slices were observed under a microscope.

Statistical Analysis

All determinations were done in three independent replicates, and the control experiments were carried out under the same conditions. All data were analyzed using OriginPro software (version 8.5), and the results were expressed as mean ± standard deviation (SD).

Results and Discussion

Genomic Features

The family Bacillaceae was first proposed by Fischer and currently contains more than 100 recognized genera [20], including Ornithinibacillus, Oceanobacillus and Virgibacillus, which are close neighbors in terms of phylogenetic evolution. As depicted in Fig. 1, the species of the genera Ornithinibacillus and Oceanobacillus are intertwined, suggesting that their genomes contain some identical sequences or are highly similar. In the literature, some Oceanobacillus strains have been reported to produce protease [27-29], amylase, lipase and carboxymethyl cellulase [30, 31]. Thus, Ornithinibacillus species, the twin brother of Oceanobacillus, may also have the ability to secrete enzymes. Additionally, the 3944 coding DNA sequences of strain L9T obtained by homology analysis were annotated by the NR database. The annotation results revealed that strain L9T contains at least 25 genes capable of encoding serine protease, glycosidase, amylase, metalloprotease and lipase (Table S3). The diversity of the enzyme genes provides direction and theoretical support for subsequent studies. More excitingly, the hydrolytic circles formed by strain L9T were clearly observed on milk agar plates, and the protease activity of 60.97 U/ml was detected in tryptic soytone broth (TSB) containing high amounts of NaCl.

Fig. 1. Phylogenomic tree based on TYGS results showing the relationship between O. caprae L9T and its related type strains.

Fig. 1

The numbers above branches are the genome blast distance phylogeny pseudo-bootstrap support values > 70% from 100 replications, with an average branch support of 90.6%. Accession numbers are given in parentheses.

Statistical Optimization of Protease Production

Response surface methodology for optimizing experimental design. According to the single-factor experimental results (shown in the Supplementary Material), three significant independent variables, including yeast extract (A), urea (B) and initial pH (C), were selected to determine the optimum level of protease production. Based on the response values of 17 experiments listed in Table S2, a quadratic model for predicting the maximum protease yield (Y) was generated and presented as follows:

Y (U/ml) = 246.15–12.97A–32.89B–7.51C+0.35AB–37.30AC–8.68BC–42.35A2–68.29B2–77.57C2.

Table 1 summarizes the variance analysis results of the regression model. The results indicated that the model is significant since it has a high model F-value (= 107.4) and a very low probability value (< 0.0001). Besides, the input variables (A, B, C) and their interaction effects (AC, A2, B2 and C2) were also significant (p-value less than 0.05). Adequate precision measures the ratio of signal to noise, and a ratio > 4 is a necessary prerequisite for a good fit of the model. A ratio of 28.94 obtained from this study demonstrates that the model can be used to navigate the design space. More importantly, most of the variability in the test data was explained by the model, with the correlation coefficient (R2) of 99.28% and adjusted R2 of 98.36%. These collective results further confirm the feasibility of this model to predict the production of L9T protease.

Table 1.

Analysis of variance for the regression equation.

Source Sum of squares df Mean squares F-value p-value
Model 74551.59 9 8283.51 107.40 < 0.0001**
A-Yeast extract 1346.02 1 1346.02 17.45 0.0042**
B-Urea 8652.39 1 8652.39 112.18 < 0.0001**
C-pH 451.79 1 451.79 5.86 0.0461*
AB 0.48 1 0.48 0.01 0.9392
AC 5565.63 1 5565.63 72.16 < 0.0001**
BC 301.41 1 301.41 3.91 0.0886
A2 7552.10 1 7552.10 97.91 < 0.0001**
B2 19637.99 1 19637.99 254.61 < 0.0001**
C2 25334.82 1 25334.82 328.47 < 0.0001**
Residual 539.90 7 77.13
Lack of fit 392.94 3 130.98 3.56 0.1256
Pure error 146.97 4 36.74
Cor total 75091.49 16

*: Significant (p < 0.05); **: very significant (p < 0.01); †: not significant (p > 0.1).

F: F ratio; p-value: probability value; df: degree of freedom.

R2 = 0.9928; adjusted R2 = 0.9836; adequate precision = 28.942.

The interaction effects and optimum values of a combination of the three independent factors for maximum protease production by O. caprae L9T were represented by three-dimensional response surface graphs and contour plots (Fig. 2). According to Figs. 2A and 2B, the proteolytic activity first increased and then decreased with increasing levels of yeast extract in the fermentation medium. It can also be seen from Fig. 2B that there is a significant interaction between yeast extract and pH since the contour is elliptical in shape.

Fig. 2. Three-dimensional response surface graphs and contour plots of extracellular protease production by O. caprae L9T elucidating the interaction between: (A) yeast extract and urea; (B) yeast extract and pH; (C) urea and pH.

Fig. 2

Validation of the optimized process conditions. Through analysis of the regression equation, the model predicted that when yeast extract, urea and initial pH were set to 14.3 g/l, 3.8 g/l, and 9, respectively, maximum L9T protease yield (251.12 U/ml) can be achieved. Then, three repeated experiments were executed under the predicted optimal conditions. The experimental L9T protease yield was 255.86 ± 0.71 U/ml, which was comparable to the predicted one, confirming the model’s authenticity. After statistical optimization, the production of L9T protease increased by 319.65% when compared with that obtained under the original medium and unoptimized fermentation conditions (60.97 U/ml).

Gel Electrophoresis and Molecular Analysis

As shown in Fig. 3, a single protein band with molecular mass ranging from 20.1–29 kDa was obtained with the enzyme preparation. Zymogram activity staining showed the proteolytic activity as a white band against the blue background of the gel, as a result of the casein hydrolysis. Furthermore, the results from MS analysis confirmed that L9T protease had multiple peptides with amino acid sequences of TGEEIDKRVTPFSIIG or KIRRHFTN. BLAST result then revealed that these peptides were affiliated to the protein WP_155668210.1 (333 amino acids) of O. caprae L9T. Based on the NCBI conserved domain analysis, WP_155668210.1 was identified to be a serine protease containing signal peptide (1-24 amino acids), intervening propeptide (25-97 amino acids) and mature peptide (98-333 amino acids). Thus, it is speculated that L9T protease is the active mature peptide of protein WP_155668210.1, with a molecular weight of 25.9 kDa. In correlation with present study, a surfactant-stable serine protease from Bacillus sp. B001 showed a molecular mass of 28 kDa [32]. Similarly a detergent stable alkaline serine protease named BM1 with a mass of 29 kDa was also reported from Bacillus mojavensis A21 [17].

Fig. 3. SDS-PAGE analysis of the extracellular protease from O. caprae L9T.

Fig. 3

Lane 1: fermentation broth; lane 2: bacterial cell; lane 3: L9T protease; lane M: standard protein marker (kDa); lane 4: zymogram of protease with casein.

Characterization of L9T Protease

Effect of pH, temperature and NaCl on enzymatic activity and stability. The partially purified L9T protease displayed proteolytic activity within a broad pH range of 4–13 (Fig. 4A), with the maximal activity at a pH of 7. The pH action of L9T protease is lower than that of some reported serine proteases, including STAP (pH 2–13) from S. koyangensis TN650 [12] and KERUS (pH 2–13) from Brevibacillus brevis US575 [14], but higher than that of AprB (pH 5–13) from Bacillus sp. B001 [32]. In addition, the pH stability profile (Fig. 4B) manifestly showed that L9T protease was considerably stable in the pH range of 6 to 11, maintaining greater than 80% of original activity after incubation for 1 h. These properties make L9T protease a good candidate for industrial applications such as use in detergents [33], tanning processes [3] or as a biocontrol agent [34].

Fig. 4. pH and temperature profile of the protease from O. caprae L9T.

Fig. 4

Effects of pH on the activity (A) and stability (B) of L9T protease. (C) The activity of L9T protease at various reaction temperatures (30–80°C at 5°C intervals) was determined in Tris-HCl buffer (pH 7). (D) Thermal stability was studied by pre-incubating L9T protease at 30–80°C temperatures for 1 h, activity without pre-incubation was taken as 100%. Reported results are the average of three independent experiments with the standard deviation presented as error bars.

The proteolytic activity was recognizable over a wide range of temperatures (30 to 80°C) with optimum activity at 70°C as shown in Fig. 4C. The findings are consistent with the enzyme from N. dassonvillei OK-18 reported by Sharma et al. [11], but higher than protease BM2 produced by B. mojavensis A21 [17], which presented an ideal temperature of 60°C. Obviously, L9T protease was highly stable at a temperature range of 30 to 45°C as revealed by the thermal stability profile (Fig. 4D). However, the protease activity decreased to 51.45% of the initial activity after 1 h of incubation at 60°C, and completely vanished after 1 h of incubation at 70–80°C. Earlier, the serine keratinase of Brevibacillus parabrevis CGMCC 10798 showed about 90% loss of its original activity upon exposure to 70°C for 1 h.

The effect of NaCl on protease activity was measured in the salinity ranging from 0–220 g/l at pH 7 and 70°C. As shown in Fig. 5, L9T protease was active at salinity from 0 to 220 g/l and had an optimum at 20 g/l. Similarly, strains like Bacillus iranensis X5B [6] and Bacillus sp. NPST-AK15 [33] were observed to produce serine protease which had optimum NaCl concentrations of about 57 and 15 g/l, respectively. It was also observed that L9T protease retained 80.31, 55.23, and 32.49% of its activity at NaCl concentrations of 80, 140, and 220 g/l, respectively, indicating a certain resistance of the protease to high salinity stresses. Notably, salinity stability showed that this protease was stable at all tested NaCl concentrations after 1 h of incubation. Similar results were also reported for the alkaline protease from Bacillus sp. NPST-AK15, where the enzyme showed high stability in the range of 0–200 g/l NaCl. From the above results, L9T protease is confirmed as a slightly halophilic enzyme, which may be useful for certain biotechnological processes that depend on salinity.

Fig. 5. Effect of various concentrations of NaCl on activity and stability of L9T protease.

Fig. 5

The enzymatic activity was determined at pH 7 and 70°C using casein as the substrate. The enzyme activity of a control (without any NaCl), incubated under similar conditions, was taken as 100%. Each value represents the mean of three replicates, and ± standard errors are reported.

Effect of various metal ions on L9T protease activity. The effects of various metal ions on the activity of L9T protease are summarized in Table 2. In the presence of 5 mM Ag+, Ca2+, and Sr2+, the proteolytic activity significantly increased to 104.46, 104.40, and 120.37%, respectively in comparison to the control. Indeed, calcium ions are known to improve activity and prevent conformational changes in many serine proteases [12, 14, 16]. In the same manner, the activity of a metallo-serine keratinase from Streptomyces aureofaciens K13 was enhanced to 109.54% in the presence of 5 mM Sr2+ [35]. These observations may be explained by the fact that (i) the spatial structure of the protease contains several Sr2+ binding sites, where Sr2+ may act as a salt or ion bridge to maintain the structure conformation of the enzyme or to stabilize the binding of the substrate and enzyme complex [36]; (ii) Sr2+ probably enhances the binding affinity of the substrate (casein) to the active site of protease [37]. In addition, the activation effect of Sr2+ on L9T protease is stronger than that of Ca2+ and Ag+, implying that Sr2+ is the best inducer of this enzyme at a certain concentration. The concentration of 5 mM of the ions Li+, K+, Ba2+, Mg2+, Mn2+, and Co2+ resulted in little effect on L9T protease, while in Fe2+, Cu2+, Zn2+, and Cr3+ ions there was a moderate inhibition of activity. Similar results were found by Patil and Chaudhari [38], who also observed a slight effect of the metal ions K+, Mn2+, and Mg2+ on the reduction of proteolytic activity (9.2, 2.0, and 3.5%, respectively), as well as severe inhibition of this activity by Cu2+ and Zn2+. However, Fe3+ strongly inhibited the protease activity, recording 28.55% of the control activity, which may be due to the fact that Fe3+ readily captures electrons from the enzyme surface through strong oxidation, thus destabilizing the enzyme.

Table 2.

Effect of various metal ions on the activity of L9T protease.

Metal ions Final concentration (mM) Residual activity (± SD, %)
Control - 100.00 ± 0.79
Li+ 5 90.19 ± 0.97
K+ 5 97.71 ± 2.49
Ag+ 5 104.46 ± 1.27
Mg2+ 5 97.77 ± 2.00
Ca2+ 5 104.40 ± 2.12
Mn2+ 5 96.36 ± 2.13
Fe2+ 5 84.85 ± 1.25
Co2+ 5 95.54 ± 0.35
Cu2+ 5 85.32 ± 1.40
Zn2+ 5 78.39 ± 2.47
Ba2+ 5 93.31 ± 2.92
Sr2+ 5 120.37 ± 3.10
Fe3+ 5 28.55 ± 3.16
Cr3+ 5 84.15 ± 1.64

Effect of chemicals on protease activity. The impacts of different organic solvents on L9T protease were evaluated to inspect its further potential application. As shown in Table 3, L9T protease was quite stable in the solvents tested, especially at a concentration of 5% (v/v). More interestingly, the protease also exhibited high stability after 1 h incubation with 10% (v/v) benzene, glycerol and n-hexane, with residual activities of 100.76, 99.50, and 95.70%, respectively. A similar stability of serine protease HAOP in benzene and hexane has been reported [39]. However, increasing concentrations of ethanol, isopropanol and methanol caused a gradual decline of L9T protease activity, which is in accord with some other serine proteases [11, 40]. In the present study, the remarkable stability of L9T protease in the presence of common organic solvents makes it interesting for the synthesis of peptides and esters.

Table 3.

Effect of different concentrations of organic solvents on L9T protease activity.

Organic solvents Residual activity (± SD, %)

Concentration 5% (v/v) Concentration 10% (v/v)
Control 100.00 ± 0.10 -
Acetone 88.44 ± 5.31 85.09 ± 3.72
Benzene 95.83 ± 6.36 100.76 ± 2.24
Ethanediol 99.12 ± 2.28 93.37 ± 2.10
Ethanol 90.90 ± 0.77 74.92 ± 4.05
Glycerol 88.76 ± 3.03 99.50 ± 1.22
n-Hexane 91.16 ± 1.91 95.70 ± 3.94
Isopropanol 91.98 ± 1.37 71.64 ± 4.18
Methanol 97.22 ± 3.90 89.77 ± 2.22

At the same time, the effects of surfactants on the activity of L9T protease were appraised, and the corresponding results are listed in Table 4. L9T protease showed excellent stability and compatibility with some nonionic surfactants. In fact, the protease activities were significantly enhanced by Tween 20 and Tween 80, with enzyme activity rates of 163.41 and 115.01% of the control, respectively, at a concentration of 1% (v/v). However, the stimulatory effects of Tweens on serine proteases were not observed by Haddar et al. [17], Suwannaphan et al. [40] and Gegeckas et al. [41]. Moreover, 1% (v/v) of Triton X-100 inhibited the enzyme activity by 10% after 1 h of incubation, which is also observed with the alkaline metalloprotease (7.5% reduction) from Pseudomonas aeruginosa MTCC 7926 [38] and serine proteases (18% reduction) from N. dassonvillei OK-18 [11] and Bacillus sp. C4 SS-2013 [40], while in contrast to the keratinase (increase by 38.16%) derived from S. aureofaciens K13 [35]. L9T protease was preincubated with different concentrations of DMSO (1, 5 and 10%, v/v) but no constraint was observed, and the enzyme retained 99.94% activity even after 1 h incubation with 10% (v/v) concentration. Conversely, the strong anionic surfactant SDS at 10 g/l inhibited the protease activity by about 77%, which is in agreement with most previously reported findings of enzyme denaturation and inactivation by SDS [33, 40]. Furthermore, H2O2 slightly lessened the protease activity by 11.82%. All these outstanding features ensure that L9T protease is compatible with certain detergent formulations.

Table 4.

Effect of various surfactants, oxidant, reductants, alkahest and inhibitors on the activity of O. caprae L9T protease.

Chemical substances Working concentration Residual activity (± SD, %)
Control - 100.00 ± 3.06
Surfactants
SDS 10 g/l 23.02 ± 1.18
Tween 20 1% (v/v) 163.41 ± 2.23
Tween 80 1% (v/v) 115.01 ± 1.13
Triton X-100 1% (v/v) 90.34 ± 3.32
Oxidant
H2O2 1% (v/v) 88.18 ± 1.18
Reductants
Dithiothreitol 5 mM 96.96 ± 0.73
β-Mercaptoethanol 5 mM 95.05 ± 2.23
Alkahest
DMSO 1% (v/v) 110.22 ± 1.70
5% (v/v) 107.26 ± 0.61
10% (v/v) 99.94 ± 1.33
Inhibitors
EDTA 5 mM 30.44 ± 2.77
EGTA 5 mM 49.85 ± 0.60
PMSF 5 mM 0

As seen in Table 4, the activity of L9T protease was not markedly affected by 5 mM thiol reagents, including dithiothreitol and β-mercaptoethanol, which may be explained by the fact that sulfhydryl does not directly participate in the catalytic reaction [42]. The results signify that L9T protease is a thiol-independent enzyme, similar to reported serine protease KERAB [43] and keratinolytic protease KERDZ [42]. The protease retained 30.44 and 49.85% of original activity in the presence of 5 mM chelators EDTA and EGTA, respectively, indicating that L9T protease is not a metalloprotease but only uses certain cations as stabilizers [32, 44]. More importantly, L9T protease was thoroughly suppressed by PMSF, suggesting that it belongs to the family of serine proteases [16].

Substrate specificity profile of L9T protease. The activity of L9T protease towards various substrates is presented in Fig. S4. As seen, the protease showed the highest activity toward casein, followed by azocasein, BSA and keratin. However, no activity was detected on gelatin and collagen. This finding supports the potential candidacy of L9T protease as a biocatalyst for dehairing in the leather industry, as it lacks collagenase activity and does not damage skin collagen.

Dehairing Performance of L9T Protease

The dehairing efficacy of the extracellular enzyme from O. caprae L9T on animal hides was assessed through organoleptic tests and histological analyses. As seen in Fig. 6, both Na2S and L9T protease could effectively remove the hair from cowhides, goatskins and rabbit skins (Figs. 6D-6I); while the control hides, incubated under the same conditions, showed no sign of hair removal (Figs. 6A-6C). Obviously, the enzymatic dehaired pelts were white in color, and showed clean hair pores, with soft texture and smooth grain surface (Figs. 6G-6I); whereas, touch-visual tests revealed that the conventional dehaired pelts were not only yellow or dark brown in color, but also hard and wrinkled (Figs. 6D-6F).

Fig. 6. Dehairing performance of L9T protease on various animal skins.

Fig. 6

Goatskins treated with Tris-HCl buffer (A), Na2S (D) and L9T protease (G), respectively; cowhides treated with Tris-HCl buffer (B), Na2S (E) and L9T protease (H), respectively; rabbit skins treated with Tris-HCl buffer (C), Na2S (F) and L9T protease (I), respectively.

In the traditional dehairing process, Na2S dissolved in water produces large amounts of hydroxide, which then destroys or even degrades the hair [45], resulting in the production of toxic gas H2S, suspended solids and highly alkaline wastewater. In contrast, as a bioactive catalyst, L9T protease does not act directly on the hair shafts; instead, it could efficiently and specifically hydrolyze some proteinaceous substances in the hair pores, such as mucin, albumin, glycoprotein and globulin, thereby destroying the bond between the hair shaft and the hair follicle [45, 46]. The absence of these connections caused the hair to naturally detach from the skin under the condition of horizontal rotation without the need for other mechanical forces.

Histological studies on cross-sections of goatskins treated with Tris-HCl buffer, Na2S and L9T protease using HE and Masson's trichrome staining are presented in Fig. S5. As shown, the epidermis of the goatskins was completely removed by treatment with Na2S and L9T protease (Figs. S5b, S5c, S5e, S5f) compared to the blank control (Figs. S5a, S5d). The collagen fiber structure of the enzymatically dehaired pelt was more regular and intact (Figs. S5c, S5f) than that of the Na2S-treated pelt (Figs. S5b, S5e). In general, in Masson’s trichrome staining, collagen and non-collagenous substances appear blue and dark red, respectively. Thus, the results suggest that the enzymatic dehairing could well maintain the inherent collagen component in the dermal structure (Fig. S5f), while Na2S could damage some skin collagen (Fig. S5e).

In this study, L9T protease could completely dehair goatskin and rabbit skin (Figs. 6G, 6I) in 24 h without any chemicals. However, it could not remove some short hairs on cowhide (Fig. 6H), probably because the thickness of cowhide hinders the penetration of enzymes and lacks mechanical pull. It is worth mentioning that microbial proteases with outstanding dehairing ability are stable in alkaline environment, especially between pH 8 and 10 [14, 47]. Hence, L9T protease is noted as meeting this criterion and may be regarded as a promising candidate for dehairing in the leather industry.

In the current work, production, optimization, partial purification and characterization of a novel serine protease from O. caprae L9T have been reported. Strain L9T showed the highest protease production capacity (255.86 U/ml) after 72 h of fermentation at 37°C in the optimized medium containing 14.3 g yeast extract, 3.8 g urea, 130 g NaCl, 1 L distilled water and an initial pH of 9. L9T protease appeared as a single band on SDS-PAGE gel with a molecular mass of 25.9 kDa. The optimal reaction pH and temperature of the protease were 7 and 70°C, respectively. Additionally, the protease was activated by 20 g/l NaCl and 5 mM metal ions, including Ag+, Ca2+ and Sr2+, and exhibited excellent compatibility with several nonionic surfactants and organic solvents. Further studies have shown that L9T protease has a perceptible ability to dehair animal hides without any damage. These findings demonstrate that the protease secreted by O. caprae L9T may be used for various industrial applications.

Supplemental Materials

jmb-32-1-99-supple.pdf (868KB, pdf)

Supplementary data for this paper are available on-line only at http://jmb.or.kr.

Acknowledgments

This work was supported by the National Key Research and Development Program of China (2017YFB0308401).

Footnotes

Conflicts of Interest

The authors have no financial conflicts of interest to declare.

REFERENCES

  • 1.Kandasamy N, Velmurugan P, Sundarvel A, Rao JR, Bangaru C, Palanisamy T. Eco-benign enzymatic dehairing of goatskins utilizing a protease from a Pseudomonas fluorescens species isolated from fish visceral waste. J. Clean. Prod. 2012;25:27–33. doi: 10.1016/j.jclepro.2011.12.007. [DOI] [Google Scholar]
  • 2.Ockerman HW, Basu L. BY-PRODUCTS | Hides and Skins. In: Dikeman M, Devine C, editors. Encyclopedia of Meat Sciences (Second Ed.) Academic Press; Oxford: 2014. pp. 112–124. [DOI] [Google Scholar]
  • 3.Kanagaraj J, Senthilvelan T, Panda RC, Kavitha S. Eco-friendly waste management strategies for greener environment towards sustainable development in leather industry: A comprehensive review. J. Clean. Prod. 2015;89:1–17. doi: 10.1016/j.jclepro.2014.11.013. [DOI] [Google Scholar]
  • 4.Thanikaivelan P, Rao JR, Nair BU, Ramasami T. Progress and recent trends in biotechnological methods for leather processing. Trends Biotechnol. 2004;22:181–188. doi: 10.1016/j.tibtech.2004.02.008. [DOI] [PubMed] [Google Scholar]
  • 5.Paul T, Jana A, Mandal AK, Mandal A, Das Mohpatra PK, Mondal KC. Bacterial keratinolytic protease, imminent starter for nextgen leather and detergent industries. Sustain. Chem. Pharm. 2016;3:8–22. doi: 10.1016/j.scp.2016.01.001. [DOI] [Google Scholar]
  • 6.Ghafoori H, Askari M, Sarikhan S. Purification and characterization of an extracellular haloalkaline serine protease from the moderately halophilic bacterium, Bacillus iranensis (X5B) Extremophiles. 2016;20:115–123. doi: 10.1007/s00792-015-0804-8. [DOI] [PubMed] [Google Scholar]
  • 7.Barzkar N. Marine microbial alkaline protease: an efficient and essential tool for various industrial applications. Int. J. Biol. Macromol. 2020;161:1216–1229. doi: 10.1016/j.ijbiomac.2020.06.072. [DOI] [PubMed] [Google Scholar]
  • 8.Gradisar H, Friedrich J, Krizaj I, Jerala R. Similarities and specificities of fungal keratinolytic proteases: comparison of keratinases of Paecilomyces marquandii and Doratomyces microsporus to some known proteases. Appl. Environ. Microbiol. 2005;71:3420–3426. doi: 10.1128/AEM.71.7.3420-3426.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Dettmer A, Cavalli É, Ayub MAZ, Gutterres M. Environmentally friendly hide unhairing: enzymatic hide processing for the replacement of sodium sulfide and delimig. J. Clean. Prod. 2013;47:11–18. doi: 10.1016/j.jclepro.2012.04.024. [DOI] [Google Scholar]
  • 10.Sun F, Sun Q, Zhang H, Kong B, Xia X. Purification and biochemical characteristics of the microbial extracellular protease from Lactobacillus curvatus isolated from Harbin dry sausages. Int. J. Biol. Macromol. 2019;133:987–997. doi: 10.1016/j.ijbiomac.2019.04.169. [DOI] [PubMed] [Google Scholar]
  • 11.Sharma AK, Kikani BA, Singh SP. Biochemical, thermodynamic and structural characteristics of a biotechnologically compatible alkaline protease from a haloalkaliphilic, Nocardiopsis dassonvillei OK-18. Int. J. Biol. Macromol. 2020;153:680–696. doi: 10.1016/j.ijbiomac.2020.03.006. [DOI] [PubMed] [Google Scholar]
  • 12.Ben Elhoul M, Zarai Jaouadi N, Rekik H, Bejar W, Boulkour Touioui S, Hmidi M, et al. A novel detergent-stable solventtolerant serine thiol alkaline protease from Streptomyces koyangensis TN650. Int. J. Biol. Macromol. 2015;79:871–882. doi: 10.1016/j.ijbiomac.2015.06.006. [DOI] [PubMed] [Google Scholar]
  • 13.Brandelli A. Bacterial keratinases: useful enzymes for bioprocessing agroindustrial wastes and beyond. Food Bioprocess Tech. 2007;1:105–116. doi: 10.1007/s11947-007-0025-y. [DOI] [Google Scholar]
  • 14.Zarai Jaouadi N, Rekik H, Badis A, Trabelsi S, Belhoul M, Yahiaoui AB, et al. Biochemical and molecular characterization of a serine keratinase from Brevibacillus brevis US575 with promising keratin-biodegradation and hide-dehairing activities. PLoS One. 2013;8:e76722. doi: 10.1371/journal.pone.0076722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kostyleva EV, Sereda AS, Velikoretskaya IA, Nefedova LI, Sharikov AY, Tsurikova NV, et al. A new Bacillus licheniformis mutant strain producing serine protease efficient for hydrolysis of soy meal proteins. Microbiology. 2016;85:462–470. doi: 10.1134/S0026261716040123. [DOI] [PubMed] [Google Scholar]
  • 16.Jagadeesan Y, Meenakshisundaram S, Saravanan V, Balaiah A. Sustainable production, biochemical and molecular characterization of thermo-and-solvent stable alkaline serine keratinase from novel Bacillus pumilus AR57 for promising poultry solid waste management. Int. J. Biol. Macromol. 2020;163:135–146. doi: 10.1016/j.ijbiomac.2020.06.219. [DOI] [PubMed] [Google Scholar]
  • 17.Haddar A, Agrebi R, Bougatef A, Hmidet N, Sellami-Kamoun A, Nasri M. Two detergent stable alkaline serine-proteases from Bacillus mojavensis A21: purification, characterization and potential application as a laundry detergent additive. Bioresour. Technol. 2009;100:3366–3373. doi: 10.1016/j.biortech.2009.01.061. [DOI] [PubMed] [Google Scholar]
  • 18.Pillai P, Archana G. Hide depilation and feather disintegration studies with keratinolytic serine protease from a novel Bacillus subtilis isolate. Appl. Microbiol. Biotechnol. 2008;78:643–650. doi: 10.1007/s00253-008-1355-z. [DOI] [PubMed] [Google Scholar]
  • 19.Zhang RX, Gong JS, Su C, Zhang DD, Tian H, Dou WF, et al. Biochemical characterization of a novel surfactant-stable serine keratinase with no collagenase activity from Brevibacillus parabrevis CGMCC 10798. Int. J. Biol. Macromol. 2016;93:843–851. doi: 10.1016/j.ijbiomac.2016.09.063. [DOI] [PubMed] [Google Scholar]
  • 20.Parte AC, Sarda Carbasse J, Meier-Kolthoff JP, Reimer LC, Goker M. List of prokaryotic names with standing in nomenclature (LPSN) moves to the DSMZ. Int. J. Syst. Evol. Microbiol. 2020;70:5607–5612. doi: 10.1099/ijsem.0.004332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Li X, Zhang S, Gan L, Cai C, Tian Y, Shi B. Ornithinibacillus caprae sp. nov, a moderate halophile isolated from the hides of a white goat. Arch. Microbiol. 2020;202:1469–1476. doi: 10.1007/s00203-020-01855-6. [DOI] [PubMed] [Google Scholar]
  • 22.Meier-Kolthoff JP, Goker M. TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy. Nat. Commun. 2019;10:2182. doi: 10.1038/s41467-019-10210-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Li W, Jaroszewski L, Godzik A. Tolerating some redundancy significantly speeds up clustering of large protein databases. Bioinformatics. 2002;18:77–82. doi: 10.1093/bioinformatics/18.1.77. [DOI] [PubMed] [Google Scholar]
  • 24.State dministration for Quality Supervision and Inspection and Quarantine of the People’s Republic of China: The National Standardization Administration Commission GB/T 23527-2009, author. Proteinase preparations 2009 [Google Scholar]
  • 25.Laemmli UK. Cleavage of structure protein during the assembly of the head of bacteriophage T4. Nature. 1970;227:680–685. doi: 10.1038/227680a0. [DOI] [PubMed] [Google Scholar]
  • 26.Garciacarreno FL, Dimes LE, Haard NF. Substrate gel-electrophoresis for composition and molecular-weight of proteinases of proteinaceous proteinase-inhibitors. Anal. Biochem. 1993;214:65–69. doi: 10.1006/abio.1993.1457. [DOI] [PubMed] [Google Scholar]
  • 27.Li Y, Wu C, Zhou M, Wang ET, Zhang Z, Liu W, Ning J, Xie Z. Diversity of cultivable protease-producing bacteria in Laizhou Bay sediments, Bohai Sea, China. Front. Microbiol. 2017;8:405. doi: 10.3389/fmicb.2017.00405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Pandey S, Rakholiya KD, Raval VH, Singh SP. Catalysis and stability of an alkaline protease from a haloalkaliphilic bacterium under non-aqueous conditions as a function of pH, salt and temperature. J. Biosci. Bioeng. 2012;114:251–256. doi: 10.1016/j.jbiosc.2012.03.003. [DOI] [PubMed] [Google Scholar]
  • 29.Thanapun T. Screening and characterization of protease-producing Virgibacillus, Halobacillus and Oceanobacillus strains from Thai fermented fish. J. Appl. Pharm. Sci. 2013;3:025–030. [Google Scholar]
  • 30.Rohban R, Amoozegar MA, Ventosa A. Screening and isolation of halophilic bacteria producing extracellular hydrolyses from Howz Soltan Lake, Iran. J. Ind. Microbiol. Biotechnol. 2009;36:333–340. doi: 10.1007/s10295-008-0500-0. [DOI] [PubMed] [Google Scholar]
  • 31.Seghal Kiran G, Nishanth Lipton A, Kennedy J, Dobson AD, Selvin J. A halotolerant thermostable lipase from the marine bacterium Oceanobacillus sp. PUMB02 with an ability to disrupt bacterial biofilms. Bioengineered. 2014;5:305–318. doi: 10.4161/bioe.29898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Deng A, Wu J, Zhang Y, Zhang G, Wen T. Purification and characterization of a surfactant-stable high-alkaline protease from Bacillus sp. B001. Bioresour. Technol. 2010;101:7111–7117. doi: 10.1016/j.biortech.2010.03.130. [DOI] [PubMed] [Google Scholar]
  • 33.Ibrahim ASS, Al-Salamah AA, El-Badawi YB, El-Tayeb MA, Antranikian G. Detergent-, solvent- and salt-compatible thermoactive alkaline serine protease from halotolerant alkaliphilic Bacillus sp. NPST-AK15: purification and characterization. Extremophiles. 2015;19:961–971. doi: 10.1007/s00792-015-0771-0. [DOI] [PubMed] [Google Scholar]
  • 34.Darwesh OM, Ali SS, Matter IA, Elsamahy T, Mahmoud YA. Enzymes immobilization onto magnetic nanoparticles to improve industrial and environmental applications. Methods Enzymol. 2020;630:481–502. doi: 10.1016/bs.mie.2019.11.006. [DOI] [PubMed] [Google Scholar]
  • 35.Gong JS, Wang Y, Zhang DD, Zhang RX, Su C, Li H, et al. Biochemical characterization of an extreme alkaline and surfactantstable keratinase derived from a newly isolated actinomycete Streptomyces aureofaciens K13. Rsc. Adv. 2015;5:24691–24699. doi: 10.1039/C4RA16423G. [DOI] [Google Scholar]
  • 36.Tork SE, Shahein YE, El-Hakim AE, Abdel-Aty AM, Aly MM. Production and characterization of thermostable metallokeratinase from newly isolated Bacillus subtilis NRC 3. Int. J. Biol. Macromol. 2013;55:169–175. doi: 10.1016/j.ijbiomac.2013.01.002. [DOI] [PubMed] [Google Scholar]
  • 37.El-Khonezya MI, Elgammalb EW, Ahmedb EF, Abd-Elaziz AM. Detergent stable thiol-dependant alkaline protease produced from the endophytic fungus Aspergillus ochraceus BT21: purification and kinetics. Biocatal. Agric. Biotechnol. 2021;35:102046. doi: 10.1016/j.bcab.2021.102046. [DOI] [Google Scholar]
  • 38.Patil U, Chaudhari A. Purification and characterization of solvent-tolerant, thermostable, alkaline metalloprotease from alkalophilic Pseudomonas aeruginosa MTCC 7926. J. Chem. Technol. Biotechnol. 2009;84:1255–1262. doi: 10.1002/jctb.2169. [DOI] [Google Scholar]
  • 39.Maruthiah T, Somanath B, Immanuel G, Palavesam A. Deproteinization potential and antioxidant property of haloalkalophilic organic solvent tolerant protease from marine Bacillus sp. APCMST-RS3 using marine shell wastes. Biotechnol. Rep. 2015;8:124–132. doi: 10.1016/j.btre.2015.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Suwannaphan S, Fufeungsombut E, Promboon A, Chim-anage P. A serine protease from newly isolated Bacillus sp. for efficient silk degumming, sericin degrading and colour bleaching activities. Int. Biodeter. Biodegr. 2017;117:141–149. doi: 10.1016/j.ibiod.2016.12.009. [DOI] [Google Scholar]
  • 41.Gegeckas A, Šimkutė A, Gudiukaitė R, Čitavičius DJ. Characterization and application of keratinolytic paptidases from Bacillus spp. Int. J. Biol. Macromol. 2018;113:1206–1213. doi: 10.1016/j.ijbiomac.2018.03.046. [DOI] [PubMed] [Google Scholar]
  • 42.Ben Elhoul M, Zarai Jaouadi N, Rekik H, Omrane Benmrad M, Mechri S, Moujehed E, et al. Biochemical and molecular characterization of new keratinoytic protease from Actinomadura viridilutea DZ50. Int. J. Biol. Macromol. 2016;92:299–315. doi: 10.1016/j.ijbiomac.2016.07.009. [DOI] [PubMed] [Google Scholar]
  • 43.Jaouadi B, Abdelmalek B, Fodil D, Ferradji FZ, Rekik H, Zaraî N, et al. Purification and characterization of a thermostable keratinolytic serine alkaline proteinase from Streptomyces sp. strain AB1 with high stability in organic solvents. Bioresour. Technol. 2010;101:8361–8369. doi: 10.1016/j.biortech.2010.05.066. [DOI] [PubMed] [Google Scholar]
  • 44.Jellouli K, Bougatef A, Manni L, Agrebi R, Siala R, Younes I, et al. Molecular and biochemical characterization of an extracellular serine-protease from Vibrio metschnikovii J1. J. Ind. Microbiol. Biotechnol. 2009;36:939–948. doi: 10.1007/s10295-009-0572-5. [DOI] [PubMed] [Google Scholar]
  • 45.Sujitha P, Kavitha S, Shakilanishi S, Babu NKC, Shanthi C. Enzymatic dehairing: a comprehensive review on the mechanistic aspects with emphasis on enzyme specificity. Int. J. Biol. Macromol. 2018;118:168–179. doi: 10.1016/j.ijbiomac.2018.06.081. [DOI] [PubMed] [Google Scholar]
  • 46.Yates JR. Studies in depilation. Part X. The mechanism of the enzyme depilation process. J. Soc. Leather Trades Chem. 1972;56:158–177. [Google Scholar]
  • 47.Bouacem K, Bouanane-Darenfed A, Zarai Jaouadi N, Joseph M, Hacene H, Ollivier B, et al. Novel serine keratinase from Caldicoprobacter algeriensis exhibiting outstanding hide dehairing abilities. Int. J. Biol. Macromol. 2016;86:321–328. doi: 10.1016/j.ijbiomac.2016.01.074. [DOI] [PubMed] [Google Scholar]

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Supplementary Materials

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