Plackett-Burman Design for rGILCC1 Laccase Activity Enhancement in<i> Pichia pastoris</i>: Concentrated Enzyme Kinetic Characterization

Morales-Álvarez, Edwin D.; Rivera-Hoyos, Claudia M.; Cardozo-Bernal, Ángela M.; Poutou-Piñales, Raúl A.; Pedroza-Rodríguez, Aura M.; Díaz-Rincón, Dennis J.; Rodríguez-López, Alexander; Alméciga-Díaz, Carlos J.; Cuervo-Patiño, Claudia L.

doi:https://doi.org/10.1155/2017/5947581

Enzyme Research

On this page

Abstract Introduction Materials and Methods Results Discussion Disclosure Conflicts of Interest Authors’ Contributions Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2017 | Article ID 5947581 | https://doi.org/10.1155/2017/5947581

Plackett-Burman Design for rGILCC1 Laccase Activity Enhancement in Pichia pastoris: Concentrated Enzyme Kinetic Characterization

Edwin D. Morales-Álvarez,^1,2Claudia M. Rivera-Hoyos,³Ángela M. Cardozo-Bernal,³Raúl A. Poutou-Piñales,³Aura M. Pedroza-Rodríguez,¹Dennis J. Díaz-Rincón,⁴Alexander Rodríguez-López,⁴Carlos J. Alméciga-Díaz,⁴and Claudia L. Cuervo-Patiño⁵

Academic Editor: Hartmut Kuhn

Received11 Jan 2017

Revised27 Feb 2017

Accepted09 Mar 2017

Published21 Mar 2017

Abstract

Laccases are multicopper oxidases that catalyze aromatic and nonaromatic compounds with concomitant reduction of molecular oxygen to water. They are of great interest due to their potential biotechnological applications. In this work we statistically improved culture media for recombinant GILCC1 (rGILCC1) laccase production at low scale from Ganoderma lucidum containing the construct pGAPZαA-GlucPost-Stop in Pichia pastoris. Temperature, pH stability, and kinetic parameter characterizations were determined by monitoring concentrate enzyme oxidation at different ABTS substrate concentrations. Plackett-Burman Design allowed improving enzyme activity from previous work 36.08-fold, with a laccase activity of 4.69 ± 0.39 UL⁻¹ at 168 h of culture in a 500 mL shake-flask. Concentrated rGILCC1 remained stable between 10 and 50°C and retained a residual enzymatic activity greater than 70% at 60°C and 50% at 70°C. In regard to pH stability, concentrated enzyme was more stable at pH 4.0 ± 0.2 with a residual activity greater than 90%. The lowest residual activity greater than 55% was obtained at pH 10.0 ± 0.2. Furthermore, calculated apparent enzyme kinetic parameters were a of 6.87 × 10⁻⁵ mM s⁻¹, with an apparent of 5.36 × 10⁻² mM. Collectively, these important stability findings open possibilities for applications involving a wide pH and temperature ranges.

1. Introduction

Laccases are blue multicopper oxidases (EC 1.10.3.2), catalyzing oxidation reactions for an array of compounds such as diphenols, polyphenols, deamines, aromatic amines, inorganic compounds, and nonphenolic compounds in the presence of redox mediators. During the reaction the substrate is oxidized by donating its electron, where molecular oxygen acts as an electron acceptor and is reduced into water [1–3].

Laccases are enzymes mainly produced in white rot fungi; however they are widely distributed in plants, insects, fungi, and bacteria [1, 4–6]. They have important applications in different industrial settings, as they help to reduce the environmental impact of their waste. These applications include dye bleaching in textile industry, bleaching of cellulose pulp, detoxification of residual waters, toxic compound bioremediation, biosensor construction, fuel cells, fruit juice processing, and synthesis of molecules in the pharmaceutical industry [3, 6–10].

Laccase biotechnological and environmental applications require great enzyme quantities; unfortunately laccases obtained from natural sources are not suitable for long growth periods, low product/biomass or product/substrate yield, and prolonged, complex, and costly isolation procedures [3, 6, 11]. Therefore, heterologous expression is a promising option for greater scale production, using the potential of hosts that are easy to handle and culture, such as bacteria and yeast [12].

Yeast offers fast growth rates, ease of gene manipulation, and posttranslational modification capabilities. P. pastoris has been employed for years as an industrial platform for heterologous protein expression. Moreover, it is one of the most effective expression systems to obtain high yield extracellular proteins [14–17]. Additionally, various reports have described better expression and productivity levels thorough culture media optimization [4, 18].

The objective of this work was to increase Ganoderma lucidum rGILCC1 laccase activity in Pichia pastoris at low scale in the laboratory to determine pH and temperature stability and define its and in concentrated supernatant obtained from microbial culture. This was achieved by improving the following factors: nitrogen and source type (organic and inorganic), carbon concentration (glucose), copper concentration, oxygen transfer (media volume/Erlenmeyer flask volume ratio), time of culture, and inoculum percentage.

2. Materials and Methods

2.1. Strain

The strain was P. pastoris X33 containing pGAPZαA-LacGluc-Stop (Clone 1) expression vector with previously optimized synthetic gene GILCC1 coding for Ganoderma lucidum GILCC1 laccase. This strain was kept in 1% YPD (w/v), 2% peptone, 1% yeast extract, and 2% D+ glucose, supplemented with 20% glycerol (w/v), and kept at −80°C [19–21].

2.2. Inoculum Preparation

Pichia pastoris X33/pGAPZαA-LaccGluc-Stop clone 1 Master Cell Bank (MCB) [21] was thawed and used for inoculating 5 mL screw cap tubes with sterile YPD supplemented with 40 µg mL⁻¹ zeocin (Z). Tubes were incubated overnight (ON) at 30°C with 180 rpm agitation, followed by inoculation under the same conditions for 12 h in 500 mL Erlenmeyer flasks, containing 100 mL (effective work volume) of fresh YPD-Z. The resulting culture was verified by Gram stain to detect presence of contaminating morphologies and used for factorial design inoculations.

2.3. Plackett-Burman Experimental Design (PBED)

Seven factors were evaluated with two levels each as follows: media volume (150 and 300 mL), CuSO₄ concentration (0.1 and 1.0 mM), inoculum percentage (2 and 10% (v/v)), glucose concentration (10 and 30 gL⁻¹), NH₄SO₄ concentration (5 and 20 mM), peptone concentration (10 and 20 gL⁻¹), and yeast extract concentration (5 and 10 gL⁻¹). The design included a central point evaluated three times; values within central points were 225 mL media, 0.55 mM CuSO₄, 6% inoculum (v/v), 20 gL⁻¹ glucose, 12.5 mM NH₄SO₄, 15 gL⁻¹ peptone, and 7.5 gL⁻¹ yeast extract [22]. For statistical analysis the response variable evaluated was enzyme activity (UL⁻¹). Additionally, to determine if statistically significant differences were observed among treatments (–) a one-way ANOVA with Tukey post hoc test was performed, employing a 95% confidence interval (CI, α = 0.05). Moreover, Shapiro-Wilk normalization test was applied to verify data quality using SAS V 9.0® 2004 (SAS Institute Inc., Cary, NC, USA).

Note. Enzyme activity (UL⁻¹), protein concentration (mg mL⁻¹), and glucose concentration (gL⁻¹), specific activity (UL⁻¹ mg mL⁻¹), and productivity (UL⁻¹h⁻¹) were assayed 0 to 12 h every two hours. The same variables were then evaluated every 24 h up to the end (168 h), since preliminary data revealed that better results were obtained between 156 h and 168 h [19]. Enzyme activity (UL⁻¹) was the response variable utilized for statistical analyses. All improvement assays were carried out in 500 mL Erlenmeyer flasks at 30°C and 180 rpm, employing the same flask for the total 168 h of culture at variable pH starting at 7 ± 0.2. Design Expert V. 9.0 (Stat-Ease, Inc., Minneapolis, MN, USA) software was used to devise experimental design and result analysis. In addition, Sigma Plot V.11.0 software (Systat Software Inc. San José, CA, USA) was employed to graph concentrated enzyme kinetics and results.

2.4. Supernatant Concentrate

Culture supernatant demonstrating the highest enzymatic activity values with ABTS substrate [,20-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid)] under conditions previously described [23] (17.9 mg mL⁻¹ protein and 4.69 ± 0.39 UL⁻¹ enzyme activity, with a specific enzyme activity of 0.26 Umg⁻¹ at 168 h of culture) was used. Briefly, culture was centrifuged at 4°C 8,000 and supernatant was filtered in a serial manner through Whatman Number 1 filter paper, followed by 0.45 and 0.22 µm membranes (Pall Corp, Port Washington, NY, USA). The filtrate was concentrated by centrifugation employing a 10 kDa Ultracel regenerated cellulose membrane (Millipore, Billerica, MA, USA) [23]. Approximately 20 mL concentrate was used to perform the enzyme’s functional identity by zymography.

2.5. Enzyme Functional Identification

Zymogram was ran in 12% (w/v) native PAGE under nondenaturing conditions. Activity or functionality was visualized by 0.5 M ABTS stain. BenchMark™ Pre-Stained Protein ladder (Life Technologies™, USA) was used as the molecular weight standard and Lac® (Sigma-Aldrich®, St. Louis, MO, USA) as laccase control.

2.6. Temperature Stability

Concentrated enzyme temperature stability was assayed by incubating for 1 h at the following temperatures: 10, 20, 30, 40, 50, 60, and 70°C; subsequently residual enzyme activity was determined under standard assay conditions [13]. All assays were performed at least three times.

2.7. pH Stability

To establish pH stability supernatant obtained from concentrate was previously incubated for 1 h at 25°C in the absence of substrate using Britton-Robinson buffer [24] with pH values ranging between 2 and 12 ± 0.2, followed by laccase residual enzyme activity determination under standard assay conditions [13]. All assays were performed at least three times.

2.8. Kinetic Constant

Concentrated enzyme kinetic constants were evaluated using ABTS as substrate in a concentration range between 0.05 and 0.5 mM at 0.1 mM intervals in 600 mM sodium acetate buffer at pH 4.5. For all assays 800 µl concentrated enzyme with 4.49 UL⁻¹ enzyme activity was employed at 25°C. After hyperbola adjustment using Michaelis-Menten equation and apparent were calculated following Hanes-Woolf linearization method [25], with the aid of SIMFIT software V5.40, 2003 (W.G. Bardsley, University of Manchester, UK) [26]. All kinetic assays were performed at least three times.

2.9. Determination of Total Residual Reducing Sugar Concentration

3,5-Dinitrosalicylic acid colorimetric method (DNS) was employed to evaluate total residual reducing sugars [27] for each sample (in triplicate). A 0.1 and 2 g L⁻¹ D-glucose curve was used as the standard.

2.10. Total Extracellular Protein Concentration Determination

Total extracellular protein concentration was established by Biuret [28] methodology for each sample (in triplicate). A bovine serum albumin (BSA) curve between 0.5 and 5 mg mL⁻¹ was used as a standard curve.

2.11. Enzyme Activity Quantification

Enzyme activity was monitored by changes in absorbency at 436 nm () as a result of ABTS in a 60 mM (pH 4.5 ± 0.2) sodium acetate buffer. 100 µL 5 mM ABTS as substrate, 800 µL crude extract at room temperature (RT), and 100 µL 600 mM sodium acetate buffer were used. Formation of a green cationic radical was evaluated spectrophotometrically for three minutes. A unit of activity is defined as the quantity of enzyme required to oxidize 1 µmol ABTS in one minute. Blanc solution contained 800 µL distilled water, 100 µL 600 mM sodium acetate buffer, and 100 µL 5 mM ABTS. Enzyme activity was expressed in UL⁻¹ [13].

Specific activity was calculated by dividing the obtained enzyme activity for each hour of culture by total protein concentration and expressed in Umg⁻¹: where enzyme activity (enz. act.) is given in UL⁻¹ and protein concentration (prot. conc.) in mg mL⁻¹.

Productivity in function of enzyme activity was expressed as biological activity UL⁻¹ h⁻¹ (see (2)), calculated in the following manner:

3. Results

3.1. Plackett-Burman Experimental Design (PBED)

ANOVA for a model that was not adjusted for curvature was significant (p = 0.0034), allowing for evaluation of the different factors’ “main effect” on culture extracellular enzyme activity detected at 168 h. Table 1 depicts model’s significant values for each factor involved. Polynomial equation (3) represents laccase activity and can be used for predictions based on different evaluated levels for each factor. Additionally, the equation can also result as being useful for factor relative impact identification when comparing obtained coefficients between themEnzyme activity for each treatment is shown in Table 2 and Figure 1, highlighting the best treatments ( and ), with enzyme activity values greater than 1.8 UL⁻¹, as well as mean comparison among the 12 treatments.

For most treatments (Figure 1 and Table 2) enzyme activity exceeded that obtained from previous work at 156 h (>0.13 ± 0.03 UL⁻¹). and treatments were the most significant, hence promising, with attaining after 168 h of culture the highest enzyme activity 4.69 ± 0.39 UL⁻¹. This represents an approximate 36.08-fold increase in comparison with that obtained from previous work [19].

Laccase activity presented a great variation among the 12 treatments (Table 2), evidencing the relevance and usefulness of culture media improvement. In addition, it is important to note that none of the predictions exceeded the results obtained from treatment .

Positive and negative effects are shown in Table 3 and each factor is involved in PBED percentage contribution on the response variable (enzyme activity UL⁻¹). As can be observed from Table 1 and (3), analysis hierarchy discarded Factor C, inoculum.

PBED kinetic follow-up for revealed the highest productivity (UL⁻¹ h⁻¹) based on enzymatic activity. Enzyme activity (UL⁻¹) and specific activity (Umg⁻¹) were obtained after 168 h of culture (Figure 2).

3.2. Concentrated Enzyme Functional Identification

The functional identification of rGILCC1 enzyme by zymogram (native PAGE) using 0.5 M ABTS in 60 mM sodium acetate buffer stain is shown in Figure 3(a). Commercial laccase presented various active fractions, suggesting the positive control as a possible multimeric laccase (Figure 3(a)).

(a)

(b)

(c)

(d)

Figure 3

rGILCC1 concentrate characterization. (a) Zymogram gel for rGILCC1 enzyme functional identification. As positive control, Laccase Lac (Sigma-Aldrich). (b) Relative enzyme activity (%) as a function of rGILCC1 obtained from concentrate after 1 h incubation at different temperatures and pH (assay carried out in triplicate, n = 3). Activity was determined as described in Materials and Methods [13]. (c) rGILCC1 obtained from concentrate enzyme kinetics using ABTS as a substrate (assay carried out in triplicate, n = 3). (d) (Michaelis-Menten constant), (maximal velocity) detailed values.

3.3. Temperature and pH Stability

rGILCC1 relative enzyme activity (%) temperature and pH stability results obtained from concentrate after incubating the concentrate for 1 h at different temperatures or 25°C at different pHs are shown in Figure 3(b). As was observed enzyme activity between 10 and 60°C was greater than 80%. For pH ranges between pH 2 and pH 11 enzyme activity ranged between 75 and 100%.

3.4. Kinetic Constants

rGILCC1 laccase obtained from concentrate kinetic characteristics for ABTS oxidation is shown in Figure 3(c), where values under assay conditions ( = 6.87 × 10⁻⁵ mMs⁻¹) and Michaelis-Menten constant ( = 5.36 × 10⁻² mM) were also estimated. Hanes-Woolf model best described enzyme concentrate behavior, under assay conditions (temp. 25°C; pH 4.5 ± 0.2).

4. Discussion

As can be seen in Table 1 the hierarchical model was significant, as well as , , , and factors. In this regard, at 168 h the model’s value was 16.17, implying that the model was significant. In contrast, there was only a 0.34% possibility of a greater value due to experimental noise. A lack of adjustment value of 0.14 suggests it was not significant in relation to pure error. In addition, there would be an 87.77% likelihood of a greater lack of adjustment value as a consequence of noise generated in the experiments. Therefore, a nonsignificant lack of adjustment was positive for the model.

On the other hand, a predicted of 0.7479 was in agreement with an adjusted of 0.91, since the difference was less than 0.2. Furthermore, an adequate precision signal/noise ratio presented a 16.258 value, where a ratio greater than 4 is desirable, indicating a suitable signal. In addition, it demonstrated this model can be utilized to navigate through the design’s space.

As shown in Figure 1 PBED mean ± SD comparison established treatment results were significantly different, where treatment 1 was the most prominent. Likewise, it is shown in Table 2 that the predicted model did not support obtained results in , despite the minimal difference.

On the other hand, Table 3 result analysis required several considerations. The factor “culture media volume” was significant (p = 0.0264), and a negative effect on enzyme activity was observed with a contribution percentage < 10%, implying in an optimization attempt that lower volumes could be tested. It is important to note that Erlenmeyer flaks of the same volume and brand were used; all assays were carried out in the same orbital shaker with the same setup, where it is clear that volume was probably associated with oxygen transfer. Decreasing the media volume would represent an increase in oxygen transfer area, which could be favorable. However, contribution percentage was small (5.81) and considered very low to propose new tests.

Furthermore, copper sulfate was also a significant factor (p = 0.0107) that had a positive effect on enzyme activity with a contribution percentage of 9.39%, resulting in the highest values among the factors evaluated (Table 3), suggesting that higher concentrations could be tested for optimization. On the contrary, glucose was not significant (p = 0.4304), despite its positive effect with a 0.44% contribution. Ammonium sulfate was not a significant factor (p = 0.4800) with a positive effect on enzyme activity and 0.35% contribution. Peptone factor was significant (p = 0.0267) with a positive effect on enzyme activity and 5.76% contribution, suggesting higher concentrations could be tested to attempt factor optimization. Last, the factor yeast extract was significant (p = 0.0149) with a negative effect on enzyme activity and 7.92% contribution. This result suggests lower concentrations could be tested in order to optimize this factor (Table 3).

Furthermore, contribution percentages results did not exceed 10%, and even though , , , , , and obtained factor values suggesting greater or lower concentrations could be assayed depending on response variable effect, carrying-out these tests would not be recommendable. Based on individual contribution percentages the change that could be generated on enzyme activity would not be substantial. Despite a 36.08-fold increase for in enzyme activity in comparison with our previous work dependent variable values were still low ( = 4.69 ± 0.39 UL⁻¹) with respect to other reported laccase activities. Additionally, Figure 2 T₁ time follow-up highlights that there were no higher values of the variables measured before 168 h. Therefore, the most recommendable option would be to amplify or change the navigation space when studying other conditions that perhaps would increase response variable results. Similarly other values of factors already evaluated would be studied or different factors other than the ones already assayed would be evaluated to achieve greater enzyme activity values.

On the other hand, some aspects of the results drew particular attention. Based on low glucose percentage contribution, the media could require a lower concentration of carbon source. This seems conflicting, since additional carbon would generate increased biomass. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) is critical in glycolysis. Its promoter provides constitutive expression on glucose metabolism; therefore it has been widely used for constitutive expression of heterologous proteins. was governing the expression of Ganoderma lucidum optimized laccase synthetic gene GlLCC1 [19]; thus results seem to contradict the fact that enzyme should be produced at the end of the exponential phase (Figure 2).

Our results agree with those by other authors and proposed genes under expression are not entirely constitutive and could be regulated by additional conditions. Kern et al. (2007) studied an alternate oxidase fused to GFP under expression. They described GFP fluorescence markedly increased after culture media glucose depletion, while in an intermitted manner small quantities of ethanol were produced, phenomena also described in other investigations [29–31]. No reports support in a detailed manner constitutive promoter incapability of always producing the metabolite of interest in greater quantities at the end of the exponential phase. Authors argue that it is more reasonable to think of other factors associated with the intrinsic nature of the recombinant protein existing that could influence the velocity, maturation, or enzyme transport [29]. These aspects could be studied in future work in detail, whereas a case in point Pichia pastoris rGlLCC1 laccase expression rate and follow-up would be carried out.

Stability study demonstrated that G. lucidum rGILCC1 enzyme expressed in P. pastoris X33 was maintained stable at 10 and 60°C and retained over 50% residual enzymatic activity at 70°C (Figure 3(b)). Some authors have performed laccase GlLCC1 enzymatic stability studies, where in contrast to the present study induction of the recombinant enzyme expression in P. pastoris used the AOX promoter. You et al. (2014) reported a rapid decrease in enzyme stability at temperatures above 40°C [3]. Likewise, Sun et al. (2012) obtained maximal activity at 55°C; however stability tests revealed that after 20 minutes incubation at 55°C activity decreased [32] considerably [33]. Other authors have expressed the same laccase with some modifications in the N-Terminal sequence, reporting that the enzyme denatured after 10 min at 100°C incubation [34]. Moreover, after one-hour incubation at 50°C, residual activity was below 50% [32]. With respect to obtained stability in other G. lucidum laccases results have been variable. Manavalan et al. (2013) reported a maximal laccase-3 activity at 30°C; however, enzyme’s half-life was affected even shortly before one-hour incubation at temperatures above 60°C [4]. When comparing previously mentioned pure laccase results with data obtained in this study using enzyme obtained from concentrate, we can argue that results are promising due to the ample range of thermal stability. Our laccase results are comparable or even exceeded GlLCC1 laccase stability or other G. lucidum laccases expressed in P. pastoris. These are aspects of great importance in terms of considerable potential use in different industrial settings or treatment of contaminated effluents.

rGILCC1 pH stability presented residual enzyme activities between 80 and 100% for all pHs assayed. Different authors report P. pastoris GlLCC1 expressed laccase great pH stability ranging between 2 and 10, obtaining relative enzyme activities above 40% for all cases [3, 4, 32, 33]. However, it is worth noting that this work evaluated up to pH 12, where residual activities of 80% were obtained. This confirms P. pastoris rGlLCC1 enzyme stability under the promoter and its potential use for environmental care.

Different laccase values, whether from fungal or bacterial origin, present an ample substrate range or may even differ from the same substrate. Nonetheless, a higher affinity to ABTS is reported in comparison to other substrates such as syringaldazine or guaiacol among others, with lower oxidation velocity and higher values [4, 5, 35].

Our data revealed a of 5.36 × 10⁻² mM; this result is similar to G. lucidum laccase-3 [4] with a of 0.047 mM. In contrast other studies have reported discrepant values such as Ko et al. (2001) with a of 0.0037 mM. Other authors using GlLCC1 laccase reported superior values as those obtained in this study with P. pastoris X33, namely, You et al. (2014) with 0.521 mM and Sun et al. (2012) with 0.9665 mM [3, 4, 32, 33]. However these differences could be related to laccase purity, since the enzyme used in this study is not in the pure form, hence the need to refer to it as apparent . In addition, the nature of other supernatant components is unknown or could positively or negatively interfere with enzyme activity.

5. Concluding Remarks

In conclusion, culture media was improved for rGILCC1 laccase production in Pichia pastoris [500 mL Erlenmeyer flask containing 150 mL culture media, 10% (v/v) inoculum, 1.0 mM CuSO₄, 30 gL⁻¹ glucose, 5 mM NH₄SO₄, 10 gL⁻¹ peptone, and 5 gL⁻¹ yeast extract for 168 h, at 30°C and 180 rpm] with a laccase activity of 4.7 ± 0.4 UL⁻¹. This represents a 36.08-fold increase compared with our previous work. Functionality was identified from enzyme obtained from concentrate through zymogram gel. Additionally, stability at different temperatures increased to a range between 10 and 60°C. Also, at 70°C the enzyme retained 50% residual activity. Moreover, pH stability was observed between 2 and 11 with over 70% residual activity. Apparent kinetic parameters obtained by recombinant laccase demonstrated its affinity for ABTS substrate, as was reported in previous work with molecular docking analysis, and its catalytic efficiency [19], supporting what has been described for other laccases.

Additionally, it is important to note that characterization was performed from concentrated supernatant instead of pure enzyme, since the objective of this group with this and other laccases is to pave the way for liquid residue and contaminated solid treatment. Working for these purposes with pure enzyme is considerably expensive, making it unsustainable. rGILCC1 laccase can be a promising enzyme for various industries and multiple purposes due to its broad temperature and pH stability. Our next challenge is to increase culture media volume (process scale-up) in addition to augment enzyme activity, since its activity is still considered low.

Disclosure

Financing agencies did not play any role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Conflicts of Interest

The authors declared that no competing interests exist.

Authors’ Contributions

Edwin D. Morales-Álvarez and Claudia M. Rivera-Hoyos contributed equally to this work.

Acknowledgments

This research was funded by Project ID 00005575 (Correlación entre la expresión constitutiva la concentración de proteína y la actividad biológica de las lacasas recombinantes POXA1 B de Pleurotus ostreatus y GLlac 1 de Ganoderma lucidum en Pichia pastoris), Project ID 00006337 (Optimización del medio de cultivo para producción de la lacasa recombinante POXA 1B de Pleurotus ostreatus en Pichia pastoris) from Pontificia Universidad Javeriana, and Project ID 00006169 (Jóven Investigador Colciencias 2014), Bogotá, Colombia. The authors thank María Lucía Gutiérrez for English editing.

References

J.-A. Majeau, S. K. Brar, and R. D. Tyagi, “Laccases for removal of recalcitrant and emerging pollutants,” Bioresource Technology, vol. 101, no. 7, pp. 2331–2350, 2010.
View at: Publisher Site | Google Scholar
S. S. More, P. S. Renuka, K. Pruthvi, M. Swetha, S. Malini, and S. M. Veena, “Isolation, purification, and characterization of fungal laccase from Pleurotus sp.,” Enzyme Research, vol. 2011, Article ID 248735, 7 pages, 2011.
View at: Publisher Site | Google Scholar
L.-F. You, Z.-M. Liu, J.-F. Lin, L.-Q. Guo, X.-L. Huang, and H.-X. Yang, “Molecular cloning of a laccase gene from Ganoderma lucidum and heterologous expression in Pichia pastoris,” Journal of Basic Microbiology, vol. 54, no. 1, pp. S134–S141, 2014.
View at: Publisher Site | Google Scholar
T. Manavalan, A. Manavalan, K. P. Thangavelu, and K. Heese, “Characterization of optimized production, purification and application of laccase from Ganoderma lucidum,” Biochemical Engineering Journal, vol. 70, pp. 106–114, 2013.
View at: Publisher Site | Google Scholar
H. Patel, S. Gupte, M. Gahlout, and A. Gupte, “Purification and characterization of an extracellular laccase from solid-state culture of Pleurotus ostreatus HP-1,” 3 Biotech, vol. 4, no. 1, pp. 77–84, 2014.
View at: Publisher Site | Google Scholar
C. M. Rivera-Hoyos, E. D. Morales-Álvarez, R. A. Poutou-Piñales, A. M. Pedroza-Rodríguez, R. Rodríguez-Vázquez, and J. M. Delgado-Boada, “Fungal laccases,” Fungal Biology Reviews, vol. 27, no. 3-4, pp. 67–82, 2013.
View at: Publisher Site | Google Scholar
D. Singh Arora and R. Kumar Sharma, “Ligninolytic fungal laccases and their biotechnological applications,” Applied Biochemistry and Biotechnology, vol. 160, no. 6, pp. 1760–1788, 2010.
View at: Publisher Site | Google Scholar
W.-T. Huang, R. Tai, R.-S. Hseu, and C.-T. Huang, “Overexpression and characterization of a thermostable, pH-stable and organic solvent-tolerant Ganoderma fornicatum laccase in Pichia pastoris,” Process Biochemistry, vol. 46, no. 7, pp. 1469–1474, 2011.
View at: Publisher Site | Google Scholar
E. D. Morales-Álvarez, C. M. Rivera-Hoyos, L. E. Chaparro-Núñez, C. E. Daza, R. A. Poutou-Piñales, and A. M. Pedroza-Rodríguez, “Decolorization and detoxification of Malachite Green by Ganoderma lucidum: key operating parameters and adsorption studies,” Journal of Environmental Engineering, vol. 143, no. 4, Article ID 04016093, 2017.
View at: Publisher Site | Google Scholar
E. D. Morales-Álvarez, C. M. Rivera-Hoyos, N. González-Ogliastri et al., “Partial removal and detoxification of Malachite Green and Crystal Violet from laboratory artificially contaminated water by Pleurotus ostreatus,” Universitas Scientiarum, vol. 21, no. 3, pp. 259–285, 2016.
View at: Publisher Site | Google Scholar
K.-S. Wong, Q. Huang, C.-H. Au, J. Wang, and H.-S. Kwan, “Biodegradation of dyes and polyaromatic hydrocarbons by two allelic forms of Lentinula edodes laccase expressed from Pichia pastoris,” Bioresource Technology, vol. 104, pp. 157–164, 2012.
View at: Publisher Site | Google Scholar
A. Piscitelli, C. Pezzella, P. Giardina, V. Faraco, and G. Sannia, “Heterologous laccase production and its role in industrial applications,” Bioengineered Bugs, vol. 1, no. 4, pp. 252–262, 2010.
View at: Google Scholar
R. Tinoco, M. A. Pickard, and R. Vazquez-Duhalt, “Kinetic differences of purified laccases from six Pleurotus ostreatus strains,” Letters in Applied Microbiology, vol. 32, no. 5, pp. 331–335, 2001.
View at: Publisher Site | Google Scholar
J. Lin-Cereghino, M. D. Hashimoto, A. Moy et al., “Direct selection of Pichia pastoris expression strains using new G418 resistance vectors,” Yeast, vol. 25, no. 4, pp. 293–299, 2008.
View at: Publisher Site | Google Scholar
L. M. Damasceno, C.-J. Huang, and C. A. Batt, “Protein secretion in Pichia pastoris and advances in protein production,” Applied Microbiology and Biotechnology, vol. 93, no. 1, pp. 31–39, 2012.
View at: Publisher Site | Google Scholar
H. A. Córdoba-Ruiz, R. A. Poutou-Piñales, O. Y. Echeverri-Peña et al., “Laboratory scale production of the human recombinant iduronate 2-sulfate sulfatase-Like from Pichia pastoris,” African Journal of Biotechnology, vol. 8, no. 9, pp. 1786–1792, 2009.
View at: Google Scholar
R. A. Poutou-Piñales, H. A. Córdoba-Ruiz, L. A. Barrera-Avellaneda, and J. M. Delgado-Boada, “Carbon source feeding strategies for recombinant protein expression in Pichia pastoris and Pichia methanolica,” African Journal of Biotechnology, vol. 9, no. 15, pp. 2173–2184, 2010.
View at: Google Scholar
D. A. Albarracín Pardo, Mejoramiento del Medio de Cultivo para Producción de la Lacasa Recombinante POXA 1B de Pleurotus ostreatus en Pichia pastoris, Microbiology, Pontificia Universidad Javeriana, Bogotá, Colombia, 2016.
C. M. Rivera-Hoyos, E. D. Morales-Álvarez, S. A. Poveda-Cuevas et al., “Computational analysis and low-scale constitutive expression of laccases synthetic genes GLLCC1 from Ganoderma lucidum and POXA 1B from Pleurotus ostreatus in Pichia pastoris,” PLoS ONE, vol. 10, no. 1, Article ID e0116524, 2015.
View at: Publisher Site | Google Scholar
H. Sáenz-Suárez, C. Rivera-Hoyos, E. Morales-Álvarez, R. Poutou-Piñales, J. Sáenz-Moreno, and A. Pedroza-Rodríguez, “Modelación computacional preliminar de la estructura 3D de dos lacasas fúngicas,” Salud Arte y Cuidado, vol. 7, no. 1, pp. 5–16, 2014.
View at: Google Scholar
R. A. Poutou, E. Amador, and M. Candelario, “Banco de células primario (BCP): caracterización y papel en la producción de proteínas recombinantes,” Biotecnología Aplicada, vol. 11, no. 1, pp. 55–59, 1994.
View at: Google Scholar
V. Sarria-Alfonso, J. Sánchez-Sierra, M. Aguirre-Morales, I. Gutiérrez-Rojas, N. Moreno-Sarmiento, and R. A. Poutou-Piñales, “Culture media statistical optimization for biomass production of a ligninolytic fungus for future rice straw degradation,” Indian Journal of Microbiology, vol. 53, no. 2, pp. 199–207, 2013.
View at: Publisher Site | Google Scholar
J. C. Gonzalez, S. C. Medina, A. Rodriguez, J. F. Osma, C. J. Alméciga-Díaz, and O. F. Sánchez, “Production of Trametes pubescens laccase under submerged and semi-solid culture conditions on agro-industrial wastes,” PLoS ONE, vol. 8, no. 9, Article ID e73721, 2013.
View at: Publisher Site | Google Scholar
J. E. Reynolds III, M. Josowicz, P. Tyler, R. B. Vegh, and K. M. Solntsev, “Spectral and redox properties of the GFP synthetic chromophores as a function of pH in buffered media,” Chemical Communications, vol. 49, no. 71, pp. 7788–7790, 2013.
View at: Publisher Site | Google Scholar
J. B. S. Haldane, “Graphical methods in enzyme chemistry,” Nature, vol. 179, no. 4564, p. 832, 1957.
View at: Publisher Site | Google Scholar
F. J. Burquillo, M. Holgado, and W. G. Bardsley, “Uso del paquete estadístico SIMFIT en la enseñanza del análisis de datos en ciencias experimentales,” Journal of Science Education, vol. 4, no. 1, pp. 8–14, 2003.
View at: Google Scholar
G. L. Miller, “Use of dinitrosalicylic acid reagent for determination of reducing sugar,” Analytical Chemistry, vol. 31, no. 3, pp. 426–428, 1959.
View at: Publisher Site | Google Scholar
D. T. Plummer, Introducción a la Bioquímica Práctica, McGraw-Hill, Bogotá, Colombia, 1981.
A. Kern, F. S. Hartner, M. Freigassner et al., “Pichia pastoris ‘just in time’ alternative respiration,” Microbiology, vol. 153, no. 4, pp. 1250–1260, 2007.
View at: Publisher Site | Google Scholar
K. Baumann, M. Maurer, M. Dragosits, O. Cos, P. Ferrer, and D. Mattanovich, “Hypoxic fed-batch cultivation of Pichia pastoris increases specific and volumetric productivity of recombinant proteins,” Biotechnology and Bioengineering, vol. 100, no. 1, pp. 177–183, 2008.
View at: Publisher Site | Google Scholar
T. Vogl and A. Glieder, “Regulation of Pichia pastoris promoters and its consequences for protein production,” New Biotechnology, vol. 30, no. 4, pp. 385–404, 2013.
View at: Publisher Site | Google Scholar
E.-M. Ko, Y.-E. Leem, and H. T. Choi, “Purification and characterization of laccase isozymes from the white-rot basidiomycete Ganoderma lucidum,” Applied Microbiology and Biotechnology, vol. 57, no. 1-2, pp. 98–102, 2001.
View at: Publisher Site | Google Scholar
J. Sun, R.-H. Peng, A.-S. Xiong et al., “Secretory expression and characterization of a soluble laccase from the Ganoderma lucidum strain 7071-9 in Pichia pastoris,” Molecular Biology Reports, vol. 39, no. 4, pp. 3807–3814, 2012.
View at: Publisher Site | Google Scholar
H. X. Wang and T. B. Ng, “Purification of a laccase from fruiting bodies of the mushroom Pleurotus eryngii,” Applied Microbiology and Biotechnology, vol. 69, no. 5, pp. 521–525, 2006.
View at: Publisher Site | Google Scholar
H. Liu, Y. Cheng, B. Du et al., “Overexpression of a novel thermostable and chloride-tolerant laccase from Thermus thermophilus SG0.5JP17-16 in Pichia pastoris and its application in synthetic dye decolorization,” PLoS ONE, vol. 10, no. 3, Article ID e0119833, 2015.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2017 Edwin D. Morales-Álvarez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

2209

Downloads

1026

Citations