Yang Yang1,2, Xinxin Zhang1,2, Qiang Yin1,2, Wei Fang1,2, Zemin Fang1,2, Xiaotang Wang3, Xuecheng Zhang1,2, Yazhong Xiao1,2. 1. School of Life Sciences, Anhui University, Hefei, Anhui 230601, China. 2. Anhui Provincial Engineering Technology Research Center of Microorganisms and Biocatalysis, Hefei, Anhui 230601, China. 3. Department of Chemistry &Biochemistry, Florida International University, Miami, Florida 33199, United States.
Abstract
β-Glucosidases are enzymes that hydrolyze β-glycosidic bonds to release non-reducing terminal glucosyl residues from glycosides and oligosaccharides, and thus have significant application potential in industries. However, most β-glucosidases are feedback inhibited by the glucose product, which restricts their application. Remarkably, some β-glucosidases of the glycoside hydrolase (GH) 1 family are tolerant to or even stimulated by glucose. Elucidation of the mechanisms of glucose tolerance and stimulation of the GH1 β-glucosidases will be crucial to improve their application through enzyme engineering. In this study, by comparing the primary and tertiary structures of two GH1 β-glucosidases with distinct glucose dependence, some putative glucose-dependence relevant sites were mutated to investigate their exact roles. Both biochemical and structural characterization of the mutants suggested that some sites at the entrance and middle of the substrate channel regulate the effects of glucose, and the relative binding affinity/preference of these sites to glucose modulates the glucose dependence. A mechanism was therefore proposed to interpret the glucose dependence of GH1 β-glucosidases. This research provides fresh insight into our current understanding of the properties and mechanisms of GH1 β-glycosidases and related enzymes that modulate their activity via feedback control mechanism.
β-Glucosidases are enzymes that hydrolyze β-glycosidic bonds to release non-reducing terminal glucosyl residues from glycosides and oligosaccharides, and thus have significant application potential in industries. However, most β-glucosidases are feedback inhibited by the glucose product, which restricts their application. Remarkably, some β-glucosidases of the glycoside hydrolase (GH) 1 family are tolerant to or even stimulated by glucose. Elucidation of the mechanisms of glucose tolerance and stimulation of the GH1 β-glucosidases will be crucial to improve their application through enzyme engineering. In this study, by comparing the primary and tertiary structures of two GH1 β-glucosidases with distinct glucose dependence, some putative glucose-dependence relevant sites were mutated to investigate their exact roles. Both biochemical and structural characterization of the mutants suggested that some sites at the entrance and middle of the substrate channel regulate the effects of glucose, and the relative binding affinity/preference of these sites to glucose modulates the glucose dependence. A mechanism was therefore proposed to interpret the glucose dependence of GH1 β-glucosidases. This research provides fresh insight into our current understanding of the properties and mechanisms of GH1 β-glycosidases and related enzymes that modulate their activity via feedback control mechanism.
β-Glucosidases (EC 3.2.1.21) are a class of enzymes that hydrolyze terminal,
non-reducing β-D-glucosyl residues with release of
β-D-glucose1. β-glucosidases have potential
applications in various industrial processes including the release of flavor components
from flavor additives23 and the synthesis of glucosylated compounds
such as ginsenoside4. Recently, β-glucosidases have drawn
intensive attention because of their critical role in the biological conversion of
cellulose to glucose which can be further utilized by yeast and other organisms to
produce ethanol or other fuel products56789. However, the
application of β-glucosidase has been severely thwarted due to product
inhibition of the enzyme710. Most β-glucosidases are
sensitive to glucose81112, whereas some β-glucosidases
are tolerant to glucose8131415. Moreover, glucose tolerance in
β-glucosidases is sometimes coupled with a stimulatory effect of the
carbohydrate, which seems to be exclusive to some glycoside hydrolase (GH) family 1
β-glucosidases16171819. In biotechnology
industries, application of β-glucosidases with glucose tolerance and
stimulation can increase the efficiency of substrate degradation and reduce the cost of
production9202122. Therefore, glucose-tolerant
β-glucosidases have been attracting increasing attention in recent
years8151718192324.To date, the molecular basis of glucose tolerance and stimulation of
β-glucosidases remains unclear. Several studies have suggested that these
properties are regulated through an allosteric mechanism by glucose binding to other
sites rather than the active site1523. It has also been demonstrated
that kinetic modulation of turnover number of these enzymes is associated with
transglycosylation1718. However, specific glucose-binding sites and
modulation details, such as the mechanism of transglycosylation, have not been
elucidated. A recent study on the structural bases for the glucose dependence of GH1 and
GH3 β-glucosidases has argued that the deep and narrow substrate channel of
GH1 β-glucosidases restricts glucose access to the active site and
facilitates transglycosylation, thereby avoiding competitive inhibition while resulting
in tolerance and stimulation25. However, why substrates containing
glucose units are not excluded by the deep and narrow channel was not explained. In
addition, the GH1 β-glucosidases intolerant to glucose were not accounted
for in this study. Thus, whether the mechanism applies to all GH1
β-glucosidases is doubtful. There must be other factors than accessibility
that contribute to the observed glucose effects on GH1 β-glucosidases.Our laboratory has previously reported the cloning and characterization of two GH1
β-glucosidases, Bgl1A and Bgl1B, obtained from a marine microbial metagenome
from the South China Sea by functional screening1926. Bgl1A displayed
high glucose tolerance, and was stimulated by low concentrations of glucose19. In contrast, the activity of Bgl1B was persistently inhibited by
glucose26. Thus, the two β-glucosidases can be used as
good representatives to investigate the glucose dependence of GH1
β-glucosidases. In the present study, using structural modeling and
measurments of enzyme activities, combined with site-directed mutagenesis, several
crucial sites and a potential mechanism for the glucose dependence of Bgl1A and Bgl1B
were revealed. The mechanism may be extended to other GH1 β-glucosidases and
consequently offer a starting point for the rational design of
β-glucosidases aimed at optimizing the industrial application of these
important enzymes by improving their glucose tolerance and stimulation effects.
Results
Structural modeling and comparison of Bgl1A and Bgl1B revealed a
difference around the substrate channel
Through functional screening from a marine metagenome, we previously obtained two
bacterial β-glucosidases, Bgl1A and Bgl1B, which share high (56%)
sequence identity but display distinct glucose dependence1926.
To reveal the molecular basis of the distinction, we have tried to crystallize
the two enzymes for structural analysis, but failed. Fortunately, in Protein
Data Bank (PDB), some β-glucosidases sharing >40% sequence
identity with Bgl1A and Bgl1B are available. Therefore, we simulated the
structures of the two proteins with the SWISS-MODEL program27.
The structures of Bgl1A and Bgl1B were modeled using β-glucosidase
structures 2O9P (BglB from Paenibacillus polymyxa) and 4PTV (HoBGLA from
Halothermothrix orenii) as templates, respectively. Both structural
models adopted the classical TIM beta/alpha-barrel structure of hydrolase, with
global similarity and some local differences (Fig. 1). The
global quality estimation score GMQE of the models were 0.76 and 0.75 for Bgl1A
and Bgl1B, respectively, indicating moderate qualities of the models. Eight
sites of Bgl1A and Bgl1B, which are different in sequence (Fig. S1) and structurally located around the
substrate channel (Fig. 1), were supposed to be potential
glucose-dependence relevant sites and thus mutated for further investigation
(see discussion).
Figure 1
Surface representation of the structure models of Bgl1A (a,b) and Bgl1B
(c,d).
The sites colored and labeled with numbers are those different in sequence
and located around the substrate channel (whose walls are colored in red in
b and d), which penetrating from the structure surface
into the inner and where the substrate approaches the active site (colored
in light blue in b and d). The colors and numbers correspond
to those defined in Supplementary
Table S1. The imagines were made with PyMOL (http://www.pymol.org/)32.
Differences between wild-type enzymes and mutants revealed crucial sites
for glucose dependence
To determine the relevance of the selected sites to the glucose dependence of
Bgl1A and Bgl1B, mutants with residues at the chosen sites interchanged between
the two proteins (Table S1) were
constructed. The mutant proteins (named An for Bgl1A mutant with the site n
mutated to its counterpart in Bgl1B; the same strategy was used to name Bgl1B
mutants) were expressed, purified, and characterized. Except for A3, A4, and B2,
whose activities were undetectable, all the mutants were tested. Compared with
the wild-type enzyme, all the Bgl1A mutants remained glucose tolerant, with A7
being stimulated by glucose at all tested concentrations (Fig.
2a). This indicated that it is not a single site that determines the
glucose tolerance of Bgl1A. In contrast, among the Bgl1B mutants, B4
(V227H228 mutated to F227T228)
and B5 (N301V302 to Q301F302)
exhibited substantial glucose tolerance, with B4 being significantly stimulated
by low concentrations of glucose (Fig. 2b), distinct from
the wild-type enzyme. This indicated that sites 4 and 5 synergistically account
for the glucose intolerance of Bgl1B, consistent with observation that in Bgl1A,
interchange mutations at any single one of the two sites could not eliminate the
glucose tolerance. Presumably, interchange mutations at both 4 and 5 sites on
Bgl1A should eliminate its glucose tolerance. However, mutant B4/5 (the residues
227-228 and 301-302 of Bgl1A mutated to those of Bg11B) was still
glucose-tolerant and -stimulated (Fig. 2a). This implied
that in addition to the local characteristics of some specific sites, other
factors, such as the structural context, contribute to the glucose stimulation
and tolerance of Bgl1A.
Figure 2
Effects of glucose on the relative activities of Bgl1A, Bgl1B and their
interchange mutants.
“An” stands for Bgl1A mutant with the site
“n” mutated to its counterpart in Bgl1B; the same
strategy was used to name Bgl1B mutants. “A4/5”
stands for Bgl1A mutant with both site 4 and site 5 mutated.
To further reveal the roles of the specific residues at sites 4 and 5 in the
glucose dependence of Bgl1B, single-point interchange mutants of the two sites,
namely, B:V227F B:H228T, B:N301Q, and B:V302F, were constructed. Among these
mutants, only B:H228T exhibited glucose stimulation, essentially distinctive
from wild-type Bgl1B, but similar to Bgl1A. In contrast, B:V227F displayed
nearly the same glucose dependence as that of the wild-type enzyme (Fig. 3a). As for B:N301Q and B:V302F, although they
exhibited weaker glucose inhibition, the enhanced tolerance was not as
substantial as that of mutant B5, which involves both residues. These findings
indicated that residue 228 is crucial for the contribution of site 4 to the
glucose dependence of Bgl1B, whereas residues 301 and 302 should contribute
synergically to site 5.
Figure 3
Effects of glucose on the relative activities of Bgl1A, Bgl1B and its
mutants.
(a) Bgl1A, Bgl1B and its single point interchange mutants at the sites
4 and 5. (b) Bgl1A, Bgl1B and its single point mutants of the 228th
residue. (c) Bgl1A, Bgl1B and its double points mutants with the
301st residue varying while the 302nd maintained. (d) Bgl1A, Bgl1B
and its double points mutants with the 302nd residue varying while the 301st
maintained.
The crucial role of residue 228 in the glucose dependence of Bgl1B was further
demonstrated by more single-point mutants at this site. The effect of mutation
was residue-type dependent, with T, D, and S residues leading to initial
stimulation, followed by enhanced tolerance, whereas C and V resulting in only
alleviated inhibition (Fig. 3b). The difference between
the effects of the mutations may result from the capability of the side chains
of the residues to form hydrogen bonds because T, D, and S can provide hydrogen
bond donor and acceptor, which were deficient in C and V.The cooperation of the two residues at site 5 in Bgl1B was also confirmed by the
mutants, in which one of the residues was replaced with its counterpart in Bgl1A
and the other mutated to various residues. When residue 302 was maintained as F,
all mutations at 301 resulted in substantial tolerance and slight stimulation
(Fig. 3c). When residue 301 was maintained as Q,
mutations to F, Y, and H at 302 led to substantial glucose tolerance and slight
stimulation, whereas S and K at 302 resulted in only weaker inhibition (Fig. 3d). These observations implied that residue 302
contributes more to the glucose dependence of Bgl1B. It is postulated that the
observed effects of the mutations are attributed to the large size of 301 side
chain and the ring of 302, which may be beneficial to the interaction with
glucose.To reveal the mechanisms by which residues 228, 301, and 302 regulate the glucose
dependence, the kinetic parameters of the wild-type enzymes and mutants were
calculated at different glucose concentrations by using Michaelis-Menten
equation (Fig. S2). For B:H228T and
B:N301Q/V302F, the Vmax increased initially but decreased as
glucose concentration was further increased. Similar behavior was observed for
Bgl1A (Table 1). In comparison, when glucose
concentration was increased, the Vmax of wild-type Bgl1B
persistently decreased. While, for all the enzymes, the apparent
Km increased with glucose. These results indicated that
glucose may inhibit the activity of Bgl1B by reducing substrate accessibility to
the enzyme’s active site via competitive binding to the active site.
For the Bgl1A and Bgl1B mutants, glucose may bind to other sites, probably the
residues 228 and 301–302, in addition to the active site, and the
glucose bound to these sites may stimulate the enzymatic activity through some
mechanisms other than competitive inhibition.
Table 1
Kinetic parameters for Bgl1A, Bgl1B and its interchange mutants.
Enzyme
Glucose (mM)
Km (mM)
Vmax (μM min−1)
kcat/Km (s−1
mM−1)
Bgl1A
0
0.69 ± 0.07
2.70 ± 0.08
35.51
50
0.84 ± 0.04
3.34 ± 0.05
36.08
100
1.13 ± 0.06
3.87 ± 0.07
31.08
400
2.08 ± 0.16
2.82 ± 0.08
12.30
Bgl1B
0
0.27 ± 0.02
12.58 ± 0.25
74.72
50
0.70 ± 0.04
4.03 ± 0.07
9.23
100
1.07 ± 0.05
2.72 ± 0.04
4.08
B:H228T
0
0.36 ± 0.03
10.14 ± 0.16
24.18
50
2.00 ± 0.10
15.01 ± 0.29
6.44
100
2.24 ± 0.19
14.10 ± 0.47
5.40
400
4.52 ± 0.45
8.87 ± 0.44
1.68
B:N301Q/V302F
0
0.83 ± 0.07
8.84 ± 0.23
2.86
50
1.14 ± 0.07
8.83 ± 0.17
2.08
100
2.98 ± 0.18
11.20 ± 0.290
1.01
400
5.30 ± 0.40
9.00 ± 0.396
0.46
Docking of the ligands on the enzymes suggested several binding sites with
different preferences
To explore the sites and mechanism by which glucose affects the activities of
β-glucosidases, interactions between the ligand and the enzymes were
simulated by molecular docking. In Bgl1A, in addition to the active site at the
bottom of the substrate channel, several other glucose binding sites were
identified along the channel. Glucose bound to two of these sites, around
residues 228 and 301–302 and located at the middle and entrance of
the channel respectively, populated more, in other words with higher preference,
than that bound to the bottom of the active site. In Bgl1B, the majority of
glucose bound to the entrance site and the bottom of the active site, with
higher preference to the latter. In B:H228T, most glucose bound with higher
preference to the entrance and middle sites than to the bottom of the active
site, as in Bgl1A. In B:N301Q/V302F, most glucose bound to the entrance and the
bottom of the channel, as in wild-type Bgl1B, but with inverse preference (Figs 4 and 5). Notably, not all most
preferred binding sites were those with the lowest energy or the highest
accessibility (at the channel entrance). These results implied that it might be
the glucose binding preference, more than the accessibility of the binding
sites, that determines the glucose dependence of the
β-glucosidases.
Figure 4
Glucose binding sites of Bgl1A, Bgl1B, B:H228T and B:N301Q/V302F determined
by computational docking.
In different proteins, most glucose bound to the substrate channel wall at a
few same sites, around the channel bottom, middle and entrance,
respectively. The binding were simulated by molecular docking and the images
were made with PyMOL (http://www.pymol.org/)32, with glucose shown
with colored sticks.
Figure 5
Binding energies and populations of the glucose bound to different sites in
Bgl1A, Bgl1B, B:H228T and B:N301Q/V302F.
The values were determined by molecular docking. “A”,
“M” and “E” signify the
sites glucose bound to, with “A” standing for the
active site, “M” for the channel middle, and
“E” for the channel entrance.
“E′” stands for the channel entrance
site bound with glucose adopting a different conformation from
“E”. 2 rms means the root mean square
between the conformations within a cluster is less than
2 Å.
The relationship between the glucose binding preference and the glucose
dependence of the β-glucosidases was supported by the docking data
of other mutants. All mutants with enhanced glucose tolerance displayed glucose
binding preference to sites other than the active site (Table S2). Most of the Bgl1A mutants with
significant glucose stimulation, i.e. A1, A2, and A7, displayed higher
preference at the middle site (Table
S2). However, A5 and A4/5, which lost the local structural
characteristics of Bgl1A at site 5 (entrance of the channel), did not lose
glucose binding to site 5 as expected. In addition, both of them, as well as A8,
did not bind glucose at site 4 (middle of the channel), while all of them
displayed more or less glucose stimulation (Fig. 2a). For
the Bgl1B mutants, only B4, B:H228S, and B:H228T showed preference at the middle
site (Table S2), which is consistent
with their unique glucose stimulation property (Fig. 3b).
B:H227F, like Bgl1B, showed relatively higher preference at the active site. The
similarity between their glucose binding preferences is consistent with the
similarity between their glucose inhibition profiles.Molecular docking illustrated the cause of lower interaction energies between
glucose and the crucial residues in Bgl1A and the Bgl1B mutants compared with
wild-type Bgl1B. The hydroxyl proton of the side chain of T228 in Bgl1A and
B:H228T can form hydrogen bonds with glucose (Fig. S3), which is consistent with the
previous speculation for the glucose dependence of residue 228 relevant mutants:
T, D, and S can offer atoms as hydrogen bond donor and acceptor, which were
absent in C and V, thus leading to distinct glucose dependence. Moreover, the
large size of H residue in Bgl1B may result in steric hindrance for glucose
binding (Fig. 4). For residues 301 and 302, compared with
N and V in Bgl1B, Q and F in Bgl1A and B:N301Q/V302F may offer more hydrogen
bonding because of the extended side chain and stronger hydrophobic interaction
between the aromatic ring and saccharide, respectively (Fig. S3).Compared with glucose, the substrate
p-nitrophenyl-β-D-glucopyranoside (pNPG) can bind to more sites
along the channel, some of which overlap glucose-binding sites. Among the
putative pNPG binding sites, the active site at the bottom of the substrate
channel always exhibited the lowest energy (Fig. S4), which may be attributed to the
additional pNP group that can provide larger interacting surface and thus
contribute to higher affinity.Notably, when glucose bound to the middle sites of substrate channel in Bgl1A and
B:H228T, its 4’- and 6’-OH group were adjacent to the
glycosidic bond of pNPG bound to the active site (Fig. 6).
This geometry will be advantageous for glucose to act as a nucleophile in place
of water, thereby resulting in transglycosylation reactions rather than
hydrolysis.
Figure 6
Geometry of glucose and pNPG docked on (a) Bgl1A and (b) B:H228T.
Glucose and pNPG are shown with thick sticks, with oxygen and hydrogen
colored in red and white respectively, carbon colored in cyan and green in
glucose and pNPG respectively, and nitrogen colored in blue in pNPG. The
lines link the oxygen atom of 6’ −OH of glucose and
the carbon atom of the β-glycosidic bond of pNPG, with the
distance (in unit of Å) labeled beside. The images were made
with PyMOL (http://www.pymol.org/)32.
Transglycosylation activity of enzymes offered potential explanation for
glucose stimulation
As mentioned previously, many studies attributed the glucose stimulation of
β-glucosidases to their transglycosylation activity18, which may be the case for Bgl1A and Bgl1B mutant H228T as supported by the
docking results. To confirm this assumption, the products of the enzymes acting
on pNPG were analyzed with high performance liquid chromatography (HPLC). The
results showed that additional peaks were observed besides those for the
substrate pNPG and the product glucose (Fig. 7). The
elution times of the additional peaks were consistent with that of cellobiose,
indicating a disaccharide produced by transglycosylation activity.
Figure 7
HPLC analysis for the products of Bgl1A, Bgl1B, B:H228T and B:N301Q/V302F
acting on pNPG.
The standard chromatogram for cellobiose, glucose and pNPG is shown in the
top panel for reference.
Disscussion
As the sequence identities between Bgl1A and Bgl1B and the PDB templates are not very
high, limited global qualities (with moderate GMQE about 0.75, and relatively low
local composite scoring function QMEAN4 about -5.3) of the models are expected.
However, the reliabilities of the simulated results based on these models and
derived conclusions are considerably valid, as the local qualities of the models at
the examined sites (228, 301 and 302) are rather high (with the reliability scores,
calculated from the QMEAN values, being about 0.81, 0.66 and 0.51 respectively).
More critical, the results of biochemical characterization and site-directed
mutagenesis fit with those of structure simulation very well, supporting the
validity of the models.The modeled structures of Bgl1A and Bgl1B exhibit substrate channels of similar depth
and width, supporting the idea that there are other mechanisms than channel width
and depth that determine their different glucose dependence. Glucose products can
inhibit the enzymatic activity of β-glucosidases by competing with
substrate to bind directly to the active site. Presumably, glucose could affect
active site indirectly via factors related to substrate binding, such as perturbing
the water matrix and steric geometry in the substrate channel. Hence, glucose
tolerance and stimulation may result from glucose binding to other sites, probably
at the entrance or middle of the substrate channel. Therefore, 8 sites were chosen
to perform mutation to further investigate the effects of glucose on
β-glucosidases.Based on biochemical characterization and ligand docking of the wild-type enzymes and
mutants, a mechanism for the effects of glucose on the activity of GH1
β-glucosidases was proposed. This mechanism emphasizes the following
interactions between glucose and GH1 β-glucosidases: (1) Besides binding
to the active site, glucose, as well as the substrate, can bind to other sites (part
of which are identical for both glucose and the substrate) along the substrate
channel with varying affinities. (2) The response of GH1 β-glucosidases
to glucose depends on relative affinity/preference of glucose binding to different
sites, being inhibition when glucose preferentially binds to the active site and
tolerance when it prefers to bind to other sites. (3) Glucose stimulation results
from the geometry of certain binding sites, where the bound glucose will enhance
substrate cleavage activity through transglycosylation or other mechanisms such as
allosteric effects.This mechanism perfectly accounts for the results observed in this study. In Bgl1B,
glucose prefers to bind to the active site at the bottom of substrate channel, thus
affecting the enzyme activity via competitive inhibition (Fig.
8a). In Bgl1A, Bgl1B mutants H228T and N301Q/V302F, glucose
preferentially binds to outside sites at the middle and entrance of the channel,
where the bound glucose does not hinder substrate binding to the active site,
therefore leading to glucose tolerance (Fig. 8b,c). Moreover,
glucose bound to the middle of the channel can stimulate substrate cleavage activity
by transglycosylation because of close proximity of this location to substrate
(Fig. 8c), this is reminiscent to the case of another GH1
β-glucosidase, rice BGlu128.
Figure 8
Schematic illustration of the proposed mechanism for glucose effects on Bgl1B
(a), Bgl1A (b,c) and their mutants.
The outside profile denotes the substrate channel wall. The arrow points to
the anomeric carbon atom which is attacked by glucose in transglycosylation.
The dots on the channel wall signify the interactions between the enzyme and
the ligands. The red sticks with red dots at termini denote bonds between
carbon and hydroxyl group.
Notably, all the Bgl1A mutants constructed in this study, including both single and
double sites, showed slight glucose stimulation in addition to tolerance. This
observation can be explained by indirect factors influencing enzyme-ligand
interaction. In addition to some specific crucial sites, such as residues 228, 301,
and 302, the overall structural features also contribute to glucose’s
preferential binding to sites other than the active site. This is in good agreement
with our previous study that showed the indispensable role of residue 184 in Bgl1B,
which is also conserved in Bgl1A29. Moreover, in addition to binding
to the middle site to enhance the cleavage activity through transglycosylation,
glucose may also bind to other sites to stimulate enzyme activity through some
unknown mechanisms. The details of the overall structural features and other
mechanisms contributing to glucose stimulation are to be elucidated.Our results demonstrated the previous arguments that in GH1
β-glucosidases there are sites other than the active site that can bind
glucose1523 and glucose may promote cleavage activity by
transglycosylation1718. In addition, our study extended the
results from a recent report that attributed the glucose tolerance to the
accessibility of the active site to glucose25. As shown in the
present study, not only the accessibility but also the binding energy, both of which
were related to the structure, determined the population of the bound glucose. Thus,
relative affinity/preference rather than accessibility of the glucose binding sites
is crucial for the glucose dependence of GH1 β-glucosidases.Our mechanism may be extended to other GH1 β-glucosidases, with some
issues modified by specific circumstances. First, the number and location of the
binding sites vary for different proteins. Second, relative affinity/preference of
the binding sites varies from protein to protein. Both number/location and relative
affinity/preference of the binding sites depend on structural characteristics and
determine the variation of the glucose dependence of GH1 β-glucosidases.
For example, in HiGB, deep and narrow substrate channel hinders glucose access to
the active site, consequently leading to its preferential binding to an outside
site, F348, which is suitable for transglycosylation, thus resulting in glucose
stimulation and tolerance25. Molecular docking for HiGB showed that
glucose actually bind to the active site as well, but with lower preference (data
not shown). Another example is rice BGlu1, in which hexose was supposed to be
positioned by Y131, hence ready for nucleophilic attack at anomeric carbon and
leading to high transglycosylation activity and glucose stimulation28. These are essentially similar to the case of Bgl1A, except that the specific
outside glucose-binding sites are different. Reasonably, in GH1
β-glucosidases that are intolerant to glucose, glucose might bind to the
active site more favorably than to the outside sites, if any, thus resulting in
competitive inhibition.Despite substantial evidence, atom-resolution structures and molecular dynamics
simulation are needed to further improve this mechanism, which should be useful for
the design of catalytically enhanced GH1 β-glucosidases for industrial
applications, such as biofuel production, in which glucose tolerance and stimulation
are highly desirable. In addition, this mechanism may help our understanding of
product effects on other enzymes especially hydrolases.
Methods
Materials
Escherichia coli strains BL21 (DE3) were obtained from TransGen Corp.
(Beijing, PR China). PrimeSTAR HS DNA Polymerase, all restriction endonucleases,
and T4 DNA ligase were purchased from TAKARA (Dalian, PR China). The expression
vector pET22b(+) was purchased from Novagen (Madison, USA).
p-nitrophenyl-β-D-glucopyranoside (pNPG) was purchased from
Aladdin-Reagent (Shanghai, PR China). The Ni2+-NTA resin was
purchased from Novagen Corp. (Darmstadt, Germany). All other chemicals and
reagents were of analytical grade and purchased from commercial sources, unless
otherwise stated.
Homology modeling and sequence alignment
Currently, no crystal structures are available for wild-type Bgl1A and Bgl1B to
evaluate the relationship between the glucose tolerance and structure of
β-glucosidase. In the PDB database, the β-glucosidase
BglB (2O9P)30 from Paenibacillus polymyxa shares 43%
sequence identity with Bgl1A, and HoBGLA (4PTV)31 from
Halothermothrix orenii shares 42% sequence identity with Bgl1B. Thus,
the 3D structure models of Bgl1A and Bgl1B, based on 2O9P and 4PTV,
respectively, were constructed using the homology modeling by SWISS-MODEL. The
structures were visualized using the visualization tool PyMOL (http://www.pymol.org/)32. Sequence alignment of Bgl1A and Bgl1B was performed by Clustal X33, and the result was formatted by ESPript version 3.034.
Site-directed mutagenesis
Construction of mutants based on SOE-PCR35 (splicing by overlap
extension-polymerase chain reaction) was performed in two steps. First, the
previously reported recombinant plasmids of pET-22b(+)-bgl1a and
-bgl1b1926 were used as templates for mutagenesis;
mutagenic oligonucleotide primer pairs of wild-type forward (WF) and mutant site
reverse (MR), as well as mutant site forward (MF) and wild-type reverse (WR)
were used to amplify the upstream and downstream fragments, named as MU and MD,
respectively. Subsequently, MU and MD fragments were assembled using WF and WR
as primers to produce the complete DNA sequences of the mutants. All the primers
are listed in Supplementary Table
S3. All the PCR products were digested with NdeI and XhoI
and ligated into pET-22b(+) vector, thereby generating the mutated plasmids with
six histidine codons attached to the 3′ end of the inserted target
sequences. The recombinant plasmids were validated by sequencing.
Protein expression and purification
The recombinant pET22b(+) plasmids containing the β-glucosidase genes
were transformed into BL21(DE3) cells. For the expression of the wild-type
enzymes and mutants, cells were grown in LB medium supplemented with
100 μg mL−1 ampicillin at 37
°C to an OD600 of approximately 0.6 before being induced
with 0.2 mM IPTG at 16 °C. Overnight cultures were
harvested by centrifugation (5 min at 8000 rpm), and the
pellet was resuspended in cold 20 mM Tris-HCl buffer (pH 7.9)
containing 500 mM NaCl and 5 mM imidazole, disrupted by
ultrasonic processor (Scientz, PR China). The suspension was centrifuged for
30 min at 4 °C and 12000 × g to
remove the cell debris and intact cells. The supernatant was loaded on a
2 mL Ni2+-NTA affinity chromatography column. The
column was washed with 10 column volumes of Tris-HCl containing
30 mM imidazole before the protein was eluted with Tris-HCl buffer
containing 200 mM imidazole. After dialysis against
50 mM Na2HPO4-citric acid buffer (pH 7.0), the
purified protein was concentrated by ultrafiltration and stored at 4
°C. All the proteins were expressed and purified as described above.
Protein purity was assessed by SDS-PAGE (12% gel). The concentration of the
protein sample was determined using BioPhotometer plus (Eppendorf, Germany).
Enzyme assay and kinetics study
β-glucosidase activity was tested with pNPG as a substrate. The assay
mixture consisted of 25 μL of protein stock sample and
475 μL of 50 mM
Na2HPO4-citric acid buffer (pH 7.0) with
5 mM pNPG. Factors including enzyme concentration and incubation
time were initially screened in the pre-experiments, so that experimental
conditions employed in all experiments guarantee the estimation of initial
velocities V0 (hydrolysis of no more than 5% initial substrate,
linear response of product formation in respect to reaction time). The enzyme
activity was estimated by measuring the optical absorption at 405 nm
by pNP in the product. Reactions with heat-treated samples were used as
controls. The kinetic parameters of the β-glucosidases were tested
under optimal conditions, and Km and Vmax
were calculated by nonlinear regression of the Michaelis-Menten equation
(equation (1)) with OriginLab 8.5 (OriginLab Corporation, USA). All measurements
were performed in triplicate and repeated at least twice.The effect of glucose on the β-glucosidases was evaluated by
measuring the activity at different glucose concentrations, ranging from
0.0 M to 2.0 M. The relative activity was defined as the
relative value to the activity of the control without glucose.All the experiments data were an average of three parallel replicates, and the
error bars in the figures were standard deviations.
Protein-ligand docking
AutoDock 4.036 was employed for docking to discover the potential
glucose binding sites in the substrate channel. The 3D structures of the
proteins were generated by SWISS-MODEL, those of glucose and pNPG, both in chair
conformation, were downloaded from PDB as a part of 2O9T (a
β-glucosidase from Bacillus polymyxa with glucose) and 3AI0
(a β-glucosidase from termite Neotermes koshunensis with
pNPG), respectively. The files were transformed to .pdb form by PyMOL, Gasteiger
charges and essential hydrogen atoms were added using the AutoDock tools. The
rotatable bonds (carbon-oxygen, carbon-nitrogen, exocyclic carbon-carbon, and
glucosidic bonds) in the ligand were assigned with AutoDock tools, and the
ligand docking was performed with the AutoDock Lamarckian Genetic Algorithm
(LGA, runs 100). The receptors were enclosed in a grid with
0.375 Å spacing, and the ligands were allowed to move
within the whole substrate channel to achieve the lowest energy conformation.
Different energy terms, including intermol energy (vdm + hbond + desolv energy +
electrostatic energy), internal energy, torsional energy, and binding energy,
can be obtained from AutoDock and estimated G binding = intermol energy +
torsional energy. The lowest energy (in vacuum) conformation was employed for
further analysis.
Transglycosylation activity assay and HPLC analysis
Transglycosylation activity was determined by probing the production of
disaccharide using pNPG and glucose as the glycosyl donor and acceptor,
respectively. A 1 mL reaction mixture containing 0.2 U
of enzyme, 100 mM glucose, and 5 mM pNPG in a
50 mM Na2HPO4-citric acid buffer (pH 7.0) was
incubated at 35 °C. Samples of 20 μL were
withdrawn at different time intervals (5 min to 2 h) and
applied to a HPLC system (Waters, USA) to detect the transglycosylation product.
The HPLC system was equipped with a Carbomix Ca-NP (7.8 mm
× 300 mm) column (Sepax Technologies Inc., USA) and an
evaporative light-scattering detector 2424 (Waters, USA) with an evaporator
temperature at 70 °C. The eluting solution was 20:80 (v:v) of
acetonitril:water.
Additional Information
How to cite this article: Yang, Y. et al. A mechanism of glucose
tolerance and stimulation of GH1 β-glucosidases. Sci. Rep.
5, 17296; doi: 10.1038/srep17296 (2015).
Authors: Fabiana Fonseca Zanoelo; Maria de Lourdes Teixeira de Moraes Polizeli; Héctor Francisco Terenzi; João Atílio Jorge Journal: FEMS Microbiol Lett Date: 2004-11-15 Impact factor: 2.742
Authors: Luana Parras Meleiro; José Carlos Santos Salgado; Raquel Fonseca Maldonado; Sibeli Carli; Luiz Alberto Beraldo Moraes; Richard John Ward; João Atílio Jorge; Rosa Prazeres Melo Furriel Journal: PLoS One Date: 2017-11-16 Impact factor: 3.240