Accepted Manuscript High-level expression of recombinant thermostable β-glucosidase in Escherichia coli by regulating acetic acid Xuejia Shi, Jingcong Xie, Shiyong Liao, Tao Wu, Lin-Guo Zhao, Gang Ding, Zhenzhong Wang, Wei Xiao PII: DOI: Reference:
S0960-8524(17)30760-5 http://dx.doi.org/10.1016/j.biortech.2017.05.105 BITE 18131
To appear in:
Bioresource Technology
Received Date: Revised Date: Accepted Date:
27 March 2017 15 May 2017 16 May 2017
Please cite this article as: Shi, X., Xie, J., Liao, S., Wu, T., Zhao, L-G., Ding, G., Wang, Z., Xiao, W., High-level expression of recombinant thermostable β-glucosidase in Escherichia coli by regulating acetic acid, Bioresource Technology (2017), doi: http://dx.doi.org/10.1016/j.biortech.2017.05.105
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1
High-level expression of recombinant thermostable β-glucosidase in Escherichia
2
coli by regulating acetic acid
3 4
Xuejia Shi1, +, Jingcong Xie1, +, Shiyong Liao 1, Tao Wu1, Lin-Guo Zhao1,*, Gang Ding2,
5
Zhenzhong Wang2, Wei Xiao 2
6 7
1
8
Nanjing 210037, China 2
9 10 11
College of Chemical Engineering, Nanjing Forestry University, 159 Long Pan Road,
Jiangsu Kanion Pharmaceutical Co., Ltd., 58 Haichang South Road, Lianyungang
222001, Jiangsu Province, China +
These authors equally contributed to this work
12
*
13
Forestry University, Nanjing, 210037, China. Phone: +86-025-85428300. E-mail:
14
[email protected].
15 16 17 18 19 20 21 22
Corresponding authors for Linguo zhao at College of Chemical Engineering, Nanjing
23 24
Abstract In the fermentation progress, fermentation parameters including the feed rate,
25
induction temperature, and induction pH evidently regulate the accumulation of acetic
26
acid generated by recombinant E. coli in the medium. The production of thermostable
27
β-glucosidase (Tpebgl3) was increased by optimizing the parameters mentioned step
28
by step. The optimal conditions were obtained with the highest enzyme expression
29
(560.4 U/mL) and the maximum DCW (65 g/L) at the pre-induction specific growth
30
rate of 0.2 h-1 followed by a post-induction specific growth rate (0.18 h-1); induction
31
temperature is 39°C; the pH is 7.2; the concentration of acetic acid was maintained all
32
along below 0.9 g/L. Results show it is necessary for the synthesis of Tpebgl3 to
33
regulate the accumulation of acetic acid at the premise of feeding to meet the normal
34
growth of E. coli. The production of Tpebgl3 by recombinant E. coli is the highest
35
reported to date.
36
Keywords: Acetic acid; Fermentation; Optimal condition; β-glucosidase.
37
1. Introduction
38
Tpebgl3 is a thermostable GH3 β-glucosidase from Thermotoga petrophila DSM
39
13995. The ginsenosides Rb1 or Rd was transformed to minor ginsenoside 20(S)-Rg3
40
by using Tpebgl3 (Xie et al., 2015a). In many general respects, it does not resemble
41
many regular β-glucosidases. This high thermal stability of enzyme has great
42
properties as bio-catalysts for industrial bioconversion. Firstly, it is easy to obtain the
43
relatively pure product with the heat treatment than the purification of other enzymes.
44
Secondly, the high reaction temperature can prevent microbial contamination and
45
reduce the viscosity, promoting high reaction velocities and hydrolysis rate (Haakana
46
et al., 2004). Finally, these enzymes are propitious to more large-scale commercial
47
production than the enzymes from mesophilic sources. In particular, the recombinant
48
enzyme shows its advantages because of its high selectivity and productivity (Quan et
49
al., 2012; Ten et al., 2015). For example, Cellulase-12T was used to transform ginseng
50
saponin glycosides from white ginseng extract (Chang et al., 2009). However, the cost
51
of preparation of the recombinant enzyme has limited its widespread application in the
52
industrial transformation from major ginsenosides into minor ginsenosides with higher
53
activity. It has been an harder task to find a thermophilic recombinant enzyme which
54
can transformed major ginsenosides to ginsenoside 20(S)-Rg3. Owing to the optimal
55
expression condition on the flask level was obtained and the highest enzyme activity of
56
Tpebgl3 reached 21 U/mL (Xie et al., 2015a), there remains a gap to be overcome
57
before it could be utilized on a large scale. Therefore, to reduce the cost of the
58
production of the recombinant enzyme, fed-batch fermentation become a better choice
59
for large-scale preparation of enzyme protein Tpebgl3. It can overcome the conundrum
60
of the poor expression of extracellular secretion because of the defect of the
61
recombinant E. coli itself.
62
Fed-batch fermentation is a batch culture continuously or consecutively fed using
63
substrate to achieve high densities of E. coli and desired protein production (Huber et
64
al., 2009; Wetzel et al., 2016; Wilming et al., 2014). It is essential to optimize the
65
fermentation parameters affecting the growth of recombinant Escherichia coli,
66
including glucose feeding rate, induction temperature, induction pH, etc. Glucose is a
67
cheaper and utilizable carbon for the growth of E. coli, and thus, it is a superior carbon
68
source to others. Plethoric glucose promotes the production of metabolic byproducts in
69
E.coli under aerobic conditions (Jean et al., 2012). The most common byproduct acetic
70
acid is synthesized by phosphotransacetylase (PTA)/acetate kinase (ACKA) and by
71
pyruvate oxidase (POXB) (Valgepea et al., 2010), The emergence of this phenomenon
72
is because of the imbalance between carbon poured into the central metabolic system
73
and the limited capacity of the cellular respiration or tricarboxylic acid cycle (Cheng et
74
al., 2012; Glazyrina et al., 2012; Krause et al., 2016; Shin et al., 2009a). Accumulation
75
of acetic acid, which usually occurs in the fast growing period of E. coli and especially
76
during the induction stage of the desired protein synthesis, inhibits growth and product
77
formation (Shiloach and Rinas, 2009; Wang et al., 2011; Weicai et al., 2000;
78
Xiao-Xuan et al., 2006). Thus, it is extremely important for Tpebgl3 production to
79
construct a feeding strategy to avoid underfeeding or overfeeding. In addition, with
80
dissolved oxygen ensured constant, induction temperature and induction pH act huge
81
impact on accumulation amount of metabolic acetic acid at the post-induction of high
82
density fermentation process (Shiloach and Rinas, 2009; Wang et al., 2011; Weicai et
83
al., 2000). Accelerate the metabolism and the growth of cells with high temperature
84
conditions, resulting in a large number of acetic acid formation (Cen et al., 2011;
85
Xiao-Xuan et al., 2006). Furthermore , the pH at the post –induction period is key
86
factor for reducing concentration of acetic acid by adding NH4OH to form ammonium
87
salt. However, high concentration of NH4 + has negative influence on energy efficiency
88
and the growth of E. coli (Yang et al., 2010). Until now, there is fewer study on the
89
effect of acetic acid for the enhanced production of heat-resistant β- glycosidase.
90
In this study, the aim was to control amount of acetic acid through determined
91
suitable feeding rate, induction temperature, and induction pH for the Tpebgl3
92
production. And then the volume of Tpebgl3 on fermentation level was successfully
93
amplified. Acetic acid generated by E. coli itself could be indirectly adjusted at
94
constant dissolved oxygen condition. A different discipline was discovered and could
95
regulate the accumulation of the acetic acid to increasing the desired protein expression,
96
and then obtain a high productivity of the target protein.
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2. Materials and methods
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2.1. Bacterial strains, plasmids, and materials
99
The study used the recombinant E. coli BL21 (DE3) harboring plasmid Tpebgl3/
100
pET20b (+), in which the Tpebgl3 gene encoding thermostable β-glucosidase was from
101
Thermotoga petrophila DSM 13995 and has been described elsewhere (Xie et al.,
102
2015b).
103 104
2.2. Media and feeding solutions The following media were used in the high density culture of E. coli : the seed
105
medium - Tryptone 10 g/L, yeast extract 5 g/L, and NaCl 10 g/L; the medium for
106
fermentation - 4.2 g/L NaH2PO4·2H2O, 8.7 g/L K2HPO4·3H2O, 50.0 g/L yeast extract,
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30 g/L glucose, 5.5 g/L (NH4)2SO4, 2.5 g/L MgSO4·7H2O, 1.1 g/L EDTA, 1 mL/L bito,
108
and 0.3 g/L foam; the addition medium for fermentation - 12.6 g/L NaH2PO4·2H2O,
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26.0 g/L K2HPO4·3H2O, 200 g/L yeast extract, 800 g/L glucose, 16.5 g/L (NH4)2SO4,
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20 g/L MgSO4·7H2O, 3.3 g/L EDTA, 3 mL/L bito, 0.3 g/L foam). Furthermore, the
111
residual glucose in the bioreactor was fed back by allowing variation of the dissolved
112
oxygen (DO) or pH value, and then the feed batch was initiated by using the
113
exponential fed-batch and the two-stage feeding strategies (Gharibzahedi et al., 2014a;
114
Wetzel et al., 2016). From the basic substrate mass balance, the feeding rate (F, ml/h)
115
at a varied specific growth rate was given by: F=
116
μ X V exp (μt)
/ ( − )
where µ is the specific growth rate (h-1), µset is the specific growth rate during
117
pre-induction phase, µ´set is the specific growth rate in the post-induction phase, X0 is
118
the initial cell concentration (g/L), V0 is the initial culture volume (L), YX/S is the
119
theoretical cell yield on glucose, SF is the glucose concentration in the feeding solution,
120
and t is the culture time (Gharibzahedi et al., 2014b).
121
2.3. Culture conditions
122 123
The seed culture was inoculated in a 500 mL shake flask with 150 mL of LB medium. This culture was shaken at 200 rpm for 10 h at 37 °C. The seed culture was
124
then inoculated in the 7.5 L fermenter kept at 37°C and pH 7.0, and the work volume
125
of the initial batch medium in the bioreactor was 3.0 L for cultivation. IPTG was added
126
to the initial medium at a fixed rate to generate synthesis of the desired protein when
127
the biomass of E. coli reached the desired growth level. The induction for expressing
128
recombinant protein was started with an appropriate value (OD600 nm values of 55–60).
129
The plasmid stability was guaranteed by adding 100 mg/L Ampicillin into cultures
130
(Duan et al., 2013). The media were kept in aerobic conditions (DO ≥ 15% unless
131
otherwise noted) with an air flow rate of 60 L/h and a stirring speed between 300 and
132
1200 rpm. The parameters including temperature, pH, DO, and impeller rabbling speed
133
were controlled by using New Brunswick Scientific (Edison, NJ) BioFlo 310. The
134
culture pH was regulated by automatic addition of NH4OH 100% and HCL 25% v/v.
135
2.4. Tpebgl3 activity assay
136
Enzyme activity definition is that 1mmol p-nitrophenyl-β-D-glucopyranoside
137
(pNPG) per minute is hydrolyzed to release 1 µmol pNP, which is defined as a unit of
138
enzyme activity [U]. To measure the activity of crude Tpebgl3, a sample of culture
139
broth (1 mL) was centrifuged at 12,000 g for 5 min, and then, the pelleted cell was
140
suspended in citric acid-Na2HPO4 buffer (50 mM, pH 7.8) and disrupted by
141
ultrasonication at 20 kHz for 10 min in an ice bath. The activity of crude enzyme from
142
the intracellular extract was detected and represented as the units per mL of culture.
143
The reaction mixture (200 µL) contained 20 mM pNPG, citric acid Na2HPO4 buffer
144
(50 mM, pH 5.0), and enzyme with appropriate diluted ratio. After incubation at 90°C
145
for 10 min, the reaction was terminated by addition of 600 µL of 1 M Na2CO3 and
146
measured by an absorbance microplate reader (SpectraMax 190).
147
2.5. Determination of protein concentration
148
The crude cell extracts, as described in section 2.4, were (70°C; 30 min) treated
149
by heat shock and then cooled in an ice bath and centrifuged (12,000 g; 4°C; 30 min).
150
The resulting supernatants were treated by an immobilized metal affinity column
151
(Novagen, USA), and the purified enzyme protein was eluted with imidazole (1 M),
152
NaCl (0.5 M), and Tris–HCl buffer (20 mM; pH 7.9). The result was measured by
153
SDS-PAGE, and the protein bands were analyzed by a density scanning with an image
154
analysis system (Bio-Rad, USA). The purified protein concentration was examined
155
with the Bradford protein Assay Kit (Sangon Biotech, Shanghai, China).
156
2.6. Acetic acid assay
157
The concentration of acetic acid of fermentation was investigated by GC, the
158
sample was obtained through extraction of supernatant fermentation broth (1mL)with
159
adding 0.2mL of 50% sulfuric acid and 1mL ether in a 5mL tube after centrifuging
160
(1000g) for 1min (Weicai et al., 2000). In the GC method for the detection of acetic
161
acid, the column temperature was started with an initial temperature of 70°C for 3 min,
162
then it was raised to 230°C with an incremental rate of 8°C per minute, and it was held
163
for 3 min (30 m × 0.25 mm × 0.25 µm, Agilent); the flow rate of the carrier gas (N2)
164
was 2 mL/min; the temperature of the front detector (FID) was 300°C; the flow rate of
165
the tail gas was 25.00 mL/min; the H2 flow rate was 30.00 mL/min; the air flow rate
166
was 400 mL/min (Kai et al., 1998).
167
3. Results and discussion
168
3.1 Effects of feeding strategies on the accumulation of acetic acid in producing
169
Tpebgl3
170
3.1.1. Exponential fed-batch culture
171
In the exponential fed-batch culture, the specific growth rate of E. coli was
172
determined by the feed rate under limited nutrient (Zheng et al., 2009). Excess glucose,
173
as the carbon resource, usually forces E. coli to generate acetic acid by PTA-ACKA
174
and POXB synthesis pathways with the µ exceeding the value of the threshold growth
175
rate, but acetic acid is not investigated when the µ is lower than a certain threshold
176
(Eiteman and Altman, 2006; Shin et al., 2009b). Though aerobic acetogenesis can
177
generate extra ATP to support the faster growth of E. coli (Kayser et al., 2005), the
178
excessive accumulation of acetic acid has an unbeneficial influence on the formation of
179
Tpebgl3 by recombinant E. coli. Therefore, the best way to reduce the acetic acid
180
formation and increase the biomass of E. coli is to adjust the specific growth rate,
181
which is beneficial for increasing the expression of recombinant protein (Shiloach and
182
Rinas, 2009). Figure 1 shows that the production of Tpebgl3 is increased at the specific
183
growth rates of 0.1 h-1, 0.2 h-1, and 0.3 h-1. IPTG was used as the inducer in the
184
exponential fed-batch fermentations. Among these, the maximum values of the actual
185
specific growth rates were less than the values designed at the later stage of
186
fermentation (given in Table 1). When the specific rate µset was 0.1 h-1, the acetic acid
187
content began to decrease rapidly, and the final concentration was about 0 g/L after
188
induction, it might be a reasonable explanation, that the concentration of supplemented
189
carbon substrate was lower than a certain threshold. Indeed, it spent 16 h until the
190
biomass of E. coli (0.1 h-1) reached the maximum and then biomass declined slowly
191
which indicated the E. coli began to age and die. The analysis showed that the
192
supplemental nutrients with a low feed rate at 0.1h-1 could not meet the demands of its
193
own growth and the strain was starved on growth during the later stage of
194
fermentation.
195
When µset is 0.2 h-1(Fig. 1B), the acetic acid content begins to decrease gradually
196
after induction. The results showed that the final concentration of acetic acid was 2.68
197
g/L and the highest activity of Tpebgl3 reached 290 U/mL, both of these value were
198
much higher than that ofμset under 0.1 h-1 and 0.3 h-1 and 14.5 times higher than that
199
of shaking flask culture (Xie et al., 2015b), the dry cell weight (DCW) was about 43.7
200
g/L. Though the concentration of acetic acid was maintained at a relative high level, it
201
slowed down the growth of E. coli and indirectly promoted E. coli to increase the
202
Tpebgl3 production. When µset was 0.3 h-1 (Fig. 1C), the content of acetic acid in the
203
fermentation broth was above 3 g/L at the post-induction phase. The supplementation
204
of carbon source in the aerobic fermentation exceeded the demands of cell growth,
205
which resulted in excessive acetic acid produced by E. coli in the culture and then both
206
of cell growth and Tpebgl3 production were inhibited. The results indicated that the
207
acetic acid generation had an extremely detrimental influence on the cell growth and
208
the production of recombinant β-glucosidase protein by E. coli, and the exponential
209
fed-batch with different specific growth rates could evidently regulate the
210
accumulation of acetic acid.
211
3.1.2. Two-stage glucose feeding strategy
212
A modified two-stage glucose feeding strategy based on both the specific growth
213
rate and the amount of glucose residues at the pre- and post-induction phase was
214
applied to control the cell growth and change the feed rate of the carbon resources
215
(Chen et al., 2013; Gharibzahedi et al., 2014a). The strategies were thus evaluated to
216
determine the most suitable nutrients flow to control the accumulation of acetic acid,
217
so as to guarantee the requirements for the fast growth of the cells in the early stage
218
and protein overexpression in the later stage. The glucose feeding rate was increased
219
exponentially during the pre-induction phase, according to the exponential feeding
220
method (Duan et al., 2013), the specific growth rate of the cultures was 0.2 h-1 before
221
induction. When the OD600nm reached 55–60, the post-induction phase began with
222
inducing IPTG, and the feeding rate was changed based on the gradient-decreasing
223
method (Fig. 2). The main purpose of the induction was to express the recombinant
224
protein efficiently and to control the accumulation of acetic acid. From Fig. 2, the
225
accumulation of acetic acid increased with the gradient-increase of µ'set (Fig. 2) at the
226
late stage of induction. The results showed that the accumulation of acetic acid could
227
be well controlled by the exponential feeding strategies with different pre-and
228
post-induced specific growth rates in the microbial fermentation process. When µ'set is
229
0.14 h-1 (Fig. 2A), the DCW and content of acetic acid in the later stage of
230
fermentation decreased rapidly, It could be a principal cause that limited carbon source
231
could not support the normal growth of E. coli. At the post-induction specific rate of
232
0.16 h-1 (Fig. 2B), the concentration of acetic acid generated by E. coli was below 1.0
233
g/L in the post-induction stage, though the DCW reached 51 g/L, the highest enzyme
234
activity was only 270 U/mL. When the post- induction specific rate was 0.18 h-1 (Fig.
235
2C), E. coli continued to excrete acetic acid, and its concentration was maintained at
236
around 1.7 g/L, the DCW of E. coli only approached appropriately 44.0 g/L and
237
decreased by 7 g with the post-induction specific rate of 0.16 h-1, but the highest
238
enzyme activity was 353 U/mL, which is 1.31 fold higher than that with the
239
post-induction specific rate of 0.16 h-1 and 63 U/mL higher than that with the
240
post-induction specific rate of 0.20 h-1 (Fig. 1C). The highest enzyme activity of the
241
condition (µ'set = 0.18 h-1) was compared with that of shaking flask culture by 17.7
242
folds. This potentially indicates that the accumulation of acetic acid inhibited the
243
growth and Tpebgl3 production at the premise of feeding to meet the normal growth of
244
E. coli. Meanwhile, as shown in table 1, the maximum values of the actual specific
245
growth rates at the post-induction and the specific productivity were critical parameters
246
reflecting the optimization of feeding strategies. The results of SDS–PAGE analysis on
247
pure Tpebgl3 was shown in Fig. 3. The specific productivity at a µ'set of 0.18 h-1 was
248
much higher than the other conditions.
249
3.2. Effect of progress parameters on the accumulation of acetic acid on
250
producing Tpebgl3
251
3.2.1. Induction temperature
252
In general, Induction temperature is a key parameter of acetic acid regulation by
253
controlling the growth rate and metabolic velocity of recombinant E. coli. Studies
254
showed low temperatures usually prevent misfolding of recombinant proteins and
255
increase the correct expression in E. coli (Lingqia et al., 2015). Therefore, experiments
256
were performed to increase Tpebgl3 production with different induction temperatures
257
based on the previous condition of the optimism feeding strategy. The temperatures
258
were set at 35°C, 37°C, 39 °C, and 41°C in the post-induction phase with 37°C in the
259
pre-induction stage. As shown in Fig. 4, the low induction temperatures were
260
unbeneficial for thermostable enzyme Tpebgl3 production, this was contrary to the
261
previous reported results. Both of production of Tpebgl3 and DCW increased with the
262
induction temperature increasing, the results reflected badly the internal relations
263
between concentration of acetic acid and production of Tpebgl3. When the cells were
264
cultured at 39 °C, the concentration of acetic acid below 1.4 g/L was the lowest level
265
compared with others in the post-induction phase. The highest enzyme activity reached
266
444.0 U / mL at induction temperature of 39°C, which was 1.9 fold higher than that
267
observed at 35°C (Fig. 4B), the DCW also approached maximum 47.9 g/L parallel with
268
other induction temperatures. The enzyme activity of Tpebgl3 at 39°C was also much
269
higher than those noted at 37°C and 41°C, indicating the effects of induction
270
temperatures on the growth of the E. coli were obvious. However, the Tpebgl3 activity
271
at 41°C was decreased owing to the high temperature that accelerated metabolism shift
272
of cell and rapid accumulation of acetic acid at constant dissolved oxygen levels (Fig.
273
4A), thereby the growth of E. coli and the expression of Tpebgl3 were inhabited. These
274
results suggested that appropriate induction temperature usually controls the
275
accumulation of the acetic acid and increases productivity of thermostable enzyme in
276
the fermentation progress.
277
3.2.2. Induction pH
278
Many reports pay less attention to the effects of acidity or basicity on the
279
accumulation of acetic acid generated by E. coli in the high density culture progress
280
(Cheng et al., 2013; Stancik et al., 2002). The effects of pHs were complex, it was
281
associated with others conditions including DO, growth phase and metabolism shifts of
282
E. coli itself (Yong et al., 2010). The acidity or basicity of fermentation broths usually
283
was misdiagnosed as simply guaranteeing optimism acidity or basicity condition
284
suitable to the growth of bacteria and ignored the fundamentality of pH on the
285
regulation of acetic acid formation. The most suitable pH of acetic acid regulation was
286
obtained by adjusting the pH in the post-induction phase and the pre-induction pH (pH
287
7.0) wasn't changed. Induction pH was changed based on the gradient-decreasing
288
method. As show in Fig. 5. Results showed that concentration of acetic acid was
289
further controlled to a very low level when the induction pH is 7.2. The concentration
290
of acetic acid was maintained all along below 0.9 g/L, and it was at the lowest level
291
compared with others. The possible causations about decrease of acetic acid with pH
292
7.2 were that acetic acid in the medium was changed into ammonium salt and the
293
metabolic components inhibited acetic acid formation (Lin et al., 1996). On this
294
condition (pH 7.2), the highest activity of Tpebgl3 reached 560.4 U/mL. This
295
manuscript testified to the ability of pH to regulation of acetic acid in the later
296
induction stage and the activity of the GH3 β-glucosidase is the highest among the
297
production of β-glucosidases by recombinant E. coli in the fed-batch progress. The
298
highest enzyme activity of this condition (µset=0.2 h-1, µ'set = 0.18 h-1, 39°C, pH 7.2)
299
was compared with that of shaking flask culture by 26.7 folds. The DCW approached
300
maximum 65 g/L. However, E. coli generated amount acetic acid with pH 7.4, the
301
possible reason is that high pH induced the metabolic enzymes from E. coli partaking
302
in arginine and glutamate catabolic pathways that channel carbon into acids instead of
303
producing alkaline amines (Stancik et al., 2002). Meanwhile, the high pH is maintained
304
by cautiously adding NH4OH that is unbeneficial for protein formation. Overall, the
305
results indicated that the appropriate pH can not only accelerate the growth of bacteria
306
but it can regulate and control the formation of the acetic acid. Although the
307
accumulation of acetic acid were controlled at a fairly low level, the extended period in
308
the fermentation was harmful to the formation of Tpebgl3. It is necessary for the
309
growth of E. coli and metabolized products to control and reduce the accumulation of
310
acetic acid in E. coli high density fermentation progress.
311
4. Conclusions
312
In this study, the results showed the feed strategies, induction temperatures, and
313
induction pH evidently regulated the accumulation of acetic acid in the fermentation
314
progress. By optimizing the progress conditions (µset=0.2 h-1, µ'set = 0.18 h-1, 39°C, pH
315
7.2) step by step. The concentration of acetic acid generated by E. coli itself was
316
further reduced. The highest activity of Tebgl3 finally approached 560.4 U/mL and the
317
DCW reached maximum 65 g/L when the concentration acetic acid was controlled all
318
along below 0.9 g/L on the optimal fermentation.
319 320 321
Acknowledgements This work was supported by the National Key Research Development Program of
322
China (2016YFD0600805), the Jiangsu “333” project of cultivation of high-level
323
talents (Grant No. BRA2015317), the 11th Six Talents Peak Project of Jiangsu
324
Province (Grant No. 2014-JY-011) and the Priority Academic Program Development of
325
Jiangsu Higher Education Institutions (PAPD).
326
References
327
1. Chang, K.H., Heesook, J., Nakyoung, L., Seho, P., Nawon, L., Hyundong, P., 2009.
328
Optimization of the enzymatic production of 20(S)-ginsenoside Rg3 from white
329
ginseng extract using response surface methodology. New Biotechnol, 26, 181-186.
330
2. Chen, W., Nie, Y., Xu, Y., 2013. Signal Peptide-Independent Secretory Expression
331
and Characterization of Pullulanase from a Newly Isolated Klebsiella variicola SHN-1
332
in Escherichia coli. Appl Biochem Biotech, 169, 41-54.
333
3. Cheng, L.K., Jian, W., Xu, Q.Y., Xie, X.X., Zhang, Y.J., Zhao, C.G., Ning, C., 2012.
334
Effect of feeding strategy on l -tryptophan production by recombinant Escherichia coli.
335
Ann Microbiol, 62, 1625-1634.
336
4. Cheng, L.K., Wang, J., Xu, Q.Y., Zhao, C.G., Shen, Z.Q., Xie, X.X., Chen, N., 2013.
337
Strategy for pH control and pH feedback-controlled substrate feeding for high-level
338
production of L-tryptophan by Escherichia coli. World J Microb Biot, 29, 883.
339
5. Duan, X., Chen, J., Wu, J., 2013. Optimization of pullulanase production in
340
Escherichia coli by regulation of process conditions and supplement with natural
341
osmolytes. Bioresource Technol, 146, 379-385.
342
6. Eiteman, M.A., Altman, E., 2006. Overcoming acetate in Escherichia coli
343
recombinant protein fermentations. Trends Biotechnol, 24, 530-536.
344
7. Gharibzahedi, S.M.T., Razavi, S.H., Mousavi, M., 2014a. Feeding strategies for the
345
improved biosynthesis of canthaxanthin from enzymatic hydrolyzed molasses in the
346
fed-batch fermentation of Dietzia natronolimnaea HS-1. Bioresource Technol, 154,
347
51-8.
348
8. Glazyrina, J., Krause, M., Junne, S., Glauche, F., Storm, D., Strom, D., Neubauer, P.,
349
2012. Glucose-limited high cell density cultivations from small to pilot plant scale
350
using an enzyme-controlled glucose delivery system. New Biotechnol, 29, 235-242.
351
9. Haakana, H., Miettinen-Oinonen, A., Joutsjoki, V., Mäntylä, A., Suominen, P.,
352
Vehmaanperä, J., 2004. Cloning of cellulase genes from Melanocarpus albomyces and
353
their efficient expression in Trichoderma reesei. Enzyme Microb Tech, 34, 159-167.
354
10. Huber, R., Scheidle, M., Dittrich, B., Klee, D., B chs, J., 2009. Equalizing growth
355
in high-throughput small scale cultivations via precultures operated in fed-batch mode.
356
Biotechnol Bioeng, 103, 1095-102.
357
11. Jean, G., Terrat, J.C., Vanel, T., Hurot, J.M., Lorriaux, C., Mayor, B., Chazot, C.,
358
2012. Glucose-limited high cell density cultivations from small to pilot plant scale
359
using an enzyme-controlled glucose delivery system. New Biotechnol, 29, 235-242.
360
12. Kai, S., Kuoppala, E., Fagern s, L., Oasmaa, A., 1998. Characterization of
361
biomass-based flash pyrolysis oils. Biomass Bioenerg, 14, 103-113.
362
13. Krause, M., Neubauer, A., Neubauer, P., 2016. The fed-batch principle for the
363
molecular biology lab: controlled nutrient diets in ready-made media improve
364
production of recombinant proteins in Escherichia coli. Microb Cell Fact, 15, 1-13.
365
14. Lin, J., Smith, M.P., Chapin, K.C., Baik, H.S., Bennett, G.N., Foster, J.W., 1996.
366
Mechanisms of acid resistance in enterohemorrhagic Escherichia coli. Appl Environ
367
Microb, 62, 3094-3100.
368
15. Lingqia, S., Yan, H., Jing, W., 2015. Enhanced production of recombinant
369
Escherichia coli glutamate decarboxylase through optimization of induction strategy
370
and addition of pyridoxine. Bioresource Technol, 198, 63-69.
371
16. Quan, L.H., Min, J.W., Jin, Y., Wang, C., Kim, Y.J., Yang, D.C., 2012. Enzymatic
372
biotransformation of ginsenoside Rb1 to compound K by recombinant β-glucosidase
373
from Microbacterium esteraromaticum. Appl Microbiol Biot, 94, 377-384.
374
17. Shiloach, J., Rinas, U., 2009. Glucose and Acetate Metabolism in E. coli - System
375
Level Analysis and Biotechnological Applications in Protein Production Processes.
376
Systems Biology and Biotechnology of Escherichia coli, 377-400.
377
18. Shin, S., Chang, D.E., Pan, J.G., 2009a. Acetate consumption activity directly
378
determines the level of acetate accumulation during Escherichia coli W3110 growth. J
379
Microbiol Biotechn, 19, 1127-1134.
380
19. Stancik, L.M., Stancik, D.M., Schmidt, B., Barnhart, D.M., Yoncheva, Y.N.,
381
Slonczewski, J.L., 2002. pH - dependent expression of periplasmic proteins and amino
382
acid catabolism in Escherichia coli. J Bacteriol, 184, 4246-4258.
383
20. Ten, L.N., Chae, S.M., Yoo, S.A., 2015. Biotransformation of Ginsenosides Re and
384
Rg 1 by the Bacterium Microbacterium sp. GT35. Chem Nat Compd, 51, 81-86.
385
21. Valgepea, K., Adamberg, K., Nahku, R., Lahtvee, P.J., Arike, L., Vilu, R., 2010.
386
Systems biology approach reveals that overflow metabolism of acetate in Escherichia
387
coli is triggered by carbon catabolite repression of acetyl-CoA synthetase. BMC Syst
388
Biol, 4, 166.
389
22. Wang, D., Li, Q., Song, Z., Zhou, W., Su, Z., Xing, J., 2011. High cell density
390
fermentation via a metabolically engineered Escherichia coli for the enhanced
391
production of succinic acid. J Chem Technol Biot, 86, 512-518.
392
23. Weicai, Z., Bingbing, D., Qingzhong, P., Houchu, Z., 2000. Determination of
393
acetate in the culture of recombinant E .coli. Letters in Biotechnology, 11, 196-198.
394
24. Wetzel, D., M ller, J.M., Flaschel, E., Friehs, K., Risse, J.M., 2016. Fed-batch
395
production and secretion of streptavidin by Hansenula polymorpha: evaluation of
396
genetic factors and bioprocess development. J Biotechnol, 225, 3-9.
397
25. Wilming, A., B hr, C., Kamerke, C., B chs, J., 2014. Fed-batch operation in special
398
microtiter plates: a new method for screening under production conditions. J Ind
399
Microbiol Biot, 41, 513-525.
400
26. Xiao-Xuan, M.A., Fan, D.D., Luo, Y.E., Yu, M.I., 2006. Research on control of
401
high cell-density fermentation of recombinant Escherichia coli expressing human-like
402
collagen. Journal of Northwest University, 36, 227-230.
403
27. Xie, J., Zhao, D., Zhao, L., Pei, J., Xiao, W., Ding, G., Wang, Z., 2015a.
404
Overexpression and characterization of a Ca (2+) activated thermostable β-glucosidase
405
with high ginsenoside Rb1 to ginsenoside 20(S)-Rg3 bioconversion productivity. J Ind
406
Microbiol Biot, 42, 839-850.
407
28. Yang, Z., Jiang, M., Li, J., Fang, X., Ye, G., Bai, X., Zheng, X., Wei, P., 2010.
408
Effects of different neutralizing agents on succinate production by Actinobacillus
409
succinogenes NJ113. Chinese Journal of Biotechnology, 26, 1500.
410
29. Yong, Z., Wei, C., Shi, S.Y., 2010. Application of a pH feedback-controlled
411
substrate feeding method in lactic acid production. Appl Biochem and Biotech, 162,
412
2149-2156.
413
30. Zheng, P., Dong, J.J., Sun, Z.H., Ni, Y., Fang, L., 2009. Fermentative production of
414
succinic acid from straw hydrolysate by Actinobacillus succinogenes. Bioresource
415
Technology, 100, 2425-2429.
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Figure Legends
417
Fig.1 Effect of exponential fed-batch with different specific growth rates on
418
high-density fermentation of recombinant E. coli producing Tpebgl3 (A: the specific
419
rate of post-induction phase was 0.10 h-1; B: the specific rate of post-induction phase
420
was 0.20 h-1; C: the specific rate of post-induction phase was 0.30 h-1.).
421
Fig.2 Effect of fed-batch with two-stage specific growth rate on the high-density
422
fermentation of recombinant E. coli producing Tpebgl3 (A: the specific rate of
423
post-induction phase was 0.14 h-1; B: the specific rate of post-induction phase was 0.16
424
h-1; C: the specific rate of post-induction phase was 0.18 h-1. All of their pre-induction
425
specific rates were 0.2 h-1.).
426
Fig. 3. SDS–PAGE analysis of the heat treated and the pure Tpebgl3 from intracellular
427
fractions.(1-3) protein obtained by heat treatment fractions of E. coli ; (4-6) protein
428
obtained by purifying heat treatment protein by an immobilized metal affinity column.
429
Fig. 4 Effect of induction temperatures on high-density fermentation of recombinant E.
430
coli producing Tpebgl3 (A: the effects of induction temperatures on the enzyme
431
activity and DCW; B: the effects of induction temperatures on the formation of acetic
432
acid.).
433
Fig. 5 Effect of induction pH on high-density fermentation of recombinant E. coli
434
producing Tpebgl3 (A: the effects of induction pHs on the enzyme activity and DCW;
435
B: the effects of induction pHs on the formation of acetic acid.).
436
Table1
437
Comparison of parameters for Tpebgl3 production with varying feeding strategies in Exponential fed-batch culture
Two-stage glucose feed (µ'set,
(µset)
µset=0.20 h-1)
Style
Specific growth
0.10
0.20
0.30
0.14
0.16
0.18
specific
0.067 ±
0.170 ±
0.179 ±
0.081 ± 0.157 ±
0.109 ±
growth
0.003
0.005
0.004
0.002
0.002
773.9 ±
989.1 ±
rate (h-1) Maximum
0.001
rate (h-1) Volume of protein(m
811.0± 766.3 ± 65.3
19.3
3.8
1172.0 ± 937.3 ± 36.1
19.3
12.0
39.7 ±
44.0 ±
g/L) 34.6 ± DCW(g/L)
44.2±0.2
36.6±0.1
0.1
51.0 ± 0.8 0.3
0.1
20.4 ±
26.6 ±
Specific 22.4 ±
22.4 ±
productivit
20.9 ± 0.18 0.5
y(mg/g)
0.1
18.4 ± 0.5 0.6
0.3
438
439
Fig. 1
440
441
Fig. 2
442
443
Fig. 3
444
445
Fig. 4
446
447 448 449
Fig.5
450
Highlights
451
1. Effect of the acetic acid on Tpebgl3 production by E. coli was studied.
452
2. The acetic acid excretion was controlled by optimal fermentation conditions.
453
3. The Tpebgl3 activity reached 560.4 U/mL with acetic acid kept below 0.9 g/L.
454