A method to describe enzyme-catalyzed reactions by combining steady state and time course enzyme kinetic parameters

Background

Complete analysis of single substrate enzyme-catalyzed reactions has required a separate use of two distinct approaches. Steady state approximations are employed to obtain substrate affinity and initial velocity information. Alternatively, first order exponential decay models permit simulation of the time course data for the reactions. Attempts to use integrals of steady state equations to describe reaction time courses have so far met with little success.

Methods

Here we use equations based on steady state approximations to directly model time course plots.

Results

Testing these expressions with the enzyme β-galactosidase, which adheres to classical Michaelis–Menten kinetics, produced a good fit between observed and calculated values.

General significance

This study indicates that, in addition to providing information on initial kinetic parameters, steady state approximations can be employed to directly model time course kinetics.Integrated forms of the Michaelis–Menten equation have previously been reported in the literature. Here we describe a method to directly apply steady state approximations to time course analysis for predicting product formation and simultaneously obtain multiple kinetic parameters.     

Inorganic phosphate uptake in unicellular eukaryotes

Background

Inorganic phosphate (P_i) is an essential nutrient for all organisms. The route of P_i utilization begins with P_i transport across the plasma membrane.

Scope of review

Here, we analyzed the gene sequences and compared the biochemical profiles, including kinetic and modulator parameters, of P_i transporters in unicellular eukaryotes. The objective of this review is to evaluate the recent findings regarding P_i uptake mechanisms in microorganisms, such as the fungi Neurospora crassa and Saccharomyces cerevisiae and the parasite protozoans Trypanosoma cruzi, Trypanosoma rangeli, Leishmania infantum and Plasmodium falciparum.

Major conclusion

P_i uptake is the key step of P_i homeostasis and in the subsequent signaling event in eukaryotic microorganisms.

General significance

Biochemical and structural studies are important for clarifying mechanisms of P_i homeostasis, as well as P_i sensor and downstream pathways, and raise possibilities for future studies in this field.     

Parameter Identifiability and Redundancy: Theoretical Considerations

Background

Models for complex biological systems may involve a large number of parameters. It may well be that some of these parameters cannot be derived from observed data via regression techniques. Such parameters are said to be unidentifiable, the remaining parameters being identifiable. Closely related to this idea is that of redundancy, that a set of parameters can be expressed in terms of some smaller set. Before data is analysed it is critical to determine which model parameters are identifiable or redundant to avoid ill-defined and poorly convergent regression.

Methodology/Principal Findings

In this paper we outline general considerations on parameter identifiability, and introduce the notion of weak local identifiability and gradient weak local identifiability. These are based on local properties of the likelihood, in particular the rank of the Hessian matrix. We relate these to the notions of parameter identifiability and redundancy previously introduced by Rothenberg (Econometrica 39 (1971) 577–591) and Catchpole and Morgan (Biometrika 84 (1997) 187–196). Within the widely used exponential family, parameter irredundancy, local identifiability, gradient weak local identifiability and weak local identifiability are shown to be largely equivalent. We consider applications to a recently developed class of cancer models of Little and Wright (Math Biosciences 183 (2003) 111–134) and Little et al. (J Theoret Biol 254 (2008) 229–238) that generalize a large number of other recently used quasi-biological cancer models.

Conclusions/Significance

We have shown that the previously developed concepts of parameter local identifiability and redundancy are closely related to the apparently weaker properties of weak local identifiability and gradient weak local identifiability—within the widely used exponential family these concepts largely coincide.     

Rule-based modeling and simulations of the inner kinetochore structure

Background

Combinatorial complexity is a central problem when modeling biochemical reaction networks, since the association of a few components can give rise to a large variation of protein complexes. Available classical modeling approaches are often insufficient for the analysis of very large and complex networks in detail. Recently, we developed a new rule-based modeling approach that facilitates the analysis of spatial and combinatorially complex problems. Here, we explore for the first time how this approach can be applied to a specific biological system, the human kinetochore, which is a multi-protein complex involving over 100 proteins.

Results

Applying our freely available SRSim software to a large data set on kinetochore proteins in human cells, we construct a spatial rule-based simulation model of the human inner kinetochore. The model generates an estimation of the probability distribution of the inner kinetochore 3D architecture and we show how to analyze this distribution using information theory. In our model, the formation of a bridge between CenpA and an H3 containing nucleosome only occurs efficiently for higher protein concentration realized during S-phase but may be not in G1. Above a certain nucleosome distance the protein bridge barely formed pointing towards the importance of chromatin structure for kinetochore complex formation. We define a metric for the distance between structures that allow us to identify structural clusters. Using this modeling technique, we explore different hypothetical chromatin layouts.

Conclusions

Applying a rule-based network analysis to the spatial kinetochore complex geometry allowed us to integrate experimental data on kinetochore proteins, suggesting a 3D model of the human inner kinetochore architecture that is governed by a combinatorial algebraic reaction network. This reaction network can serve as bridge between multiple scales of modeling. Our approach can be applied to other systems beyond kinetochores.     

Optimizing metabolic pathways by screening for feasible synthetic reactions

Background

Reconstruction of genome-scale metabolic networks has resulted in models capable of reproducing experimentally observed biomass yield/growth rates and predicting the effect of alterations in metabolism for biotechnological applications. The existing studies rely on modifying the metabolic network of an investigated organism by removing or inserting reactions taken either from evolutionary similar organisms or from databases of biochemical reactions (e.g., KEGG). A potential disadvantage of these knowledge-driven approaches is that the result is biased towards known reactions, as such approaches do not account for the possibility of including novel enzymes, together with the reactions they catalyze.

Results

Here, we explore the alternative of increasing biomass yield in three model organisms, namely Bacillus subtilis, Escherichia coli, and Hordeum vulgare, by applying small, chemically feasible network modifications. We use the predicted and experimentally confirmed growth rates of the wild-type networks as reference values and determine the effect of inserting mass-balanced, thermodynamically feasible reactions on predictions of growth rate by using flux balance analysis.

Conclusions

While many replacements of existing reactions naturally lead to a decrease or complete loss of biomass production ability, in all three investigated organisms we find feasible modifications which facilitate a significant increase in this biological function. We focus on modifications with feasible chemical properties and a significant increase in biomass yield. The results demonstrate that small modifications are sufficient to substantially alter biomass yield in the three organisms. The method can be used to predict the effect of targeted modifications on the yield of any set of metabolites (e.g., ethanol), thus providing a computational framework for synthetic metabolic engineering.     

Solution equilibria of cytosine- and guanine-rich sequences near the promoter region of the n-myc gene that contain stable hairpins within lateral loops

Background

Cytosine- and guanine-rich regions of DNA are capable of forming complex structures named i-motifs and G-quadruplexes, respectively. In the present study the solution equilibria at nearly physiological conditions of a 34-base long cytosine-rich sequence and its complementary guanine-rich strand corresponding to the first intron of the n-myc gene were studied. Both sequences, not yet studied, contain a 12-base tract capable of forming stable hairpins inside the i-motif and G-quadruplex structures, respectively.

Methods

Spectroscopic, mass spectrometry and separation techniques, as well as multivariate data analysis methods, were used to unravel the species and conformations present.

Results

The cytosine-rich sequence forms two i-motifs that differ in the protonation of bases located in the loops. A stable Watson–Crick hairpin is formed by the bases in the first loop, stabilizing the i-motif structure. The guanine-rich sequence adopts a parallel G-quadruplex structure that is stable throughout the pH range 3–7, despite the protonation of cytosine and adenine bases at lower pH values. The presence of G-quadruplex aggregates was confirmed using separation techniques. When mixed, G-quadruplex and i-motif coexist with the Watson–Crick duplex across a pH range from approximately 3.0 to 6.5.

Conclusions

Two cytosine- and guanine-rich sequences in n-myc gene may form stable i-motif and G-quadruplex structures even in the presence of long loops. pH modulates the equilibria involving the intramolecular structures and the intermolecular Watson–Crick duplex.

General significance

Watson–Crick hairpins located in the intramolecular G-quadruplexes and i-motifs in the promoter regions of oncogenes could play a role in stabilizing these structures.     

The surface structure of a complex substrate revealed by enzyme kinetics and Freundlich constants for α-amylase interaction with the surface of starch

Background

Starch is a main source of carbohydrate in human diets, but differences are observed in postprandial glycaemia following ingestion of different foods containing identical starch contents. Such differences reflect variations in rates at which different starches are digested in the intestine. In seeking explanations for these differences, we have studied the interaction of α-amylase with starch granules. Understanding this key step in digestion should help with a molecular understanding for observed differences in starch digestion rates.

Methods

For enzymes acting upon solid substrates, a Freundlich equation relates reaction rate to enzyme adsorption at the surface. The Freundlich exponent (n) equals 2/3 for a liquid-smooth surface interface, 1/3 for adsorption to exposed edges of ordered structures and 1.0 for solution–solution interfaces. The topography of a number of different starch granules, revealed by Freundlich exponents, was compared with structural data obtained by differential scanning calorimetry and Fourier transform infrared spectroscopy with attenuated total internal reflectance (FTIR-ATR).

Results

Enzyme binding rate and FTIR-ATR peak ratio were directly proportional to n and Δ_gelH was inversely related to n. Amylase binds fastest to solubilised starch and to granules possessing smooth surfaces at the solid–liquid interface and slowest to granules possessing ordered crystalline surfaces.

Conclusions

Freundlich exponents provide information about surface blocklet structures of starch that supplements knowledge obtained from physical methods.

General Significance

Nanoscale structures at the surface of starch granules influence hydrolysis by α-amylase. This can be important in understanding how dietary starch is digested with relevance to diabetes, cardiovascular health and cancer.     

Asteropsins B–D,sponge-derived knottins with potential utility as a novel scaffold for oral peptide drugs

Background

Known linear knottins are unsuitable as scaffolds for oral peptide drug due to their gastrointestinal instability. Herein, a new subclass of knottin peptides from Porifera is structurally described and characterized regarding their potential for oral peptide drug development.

Methods

Asteropsins B–D (ASPB, ASPC, and ASPD) were isolated from the marine sponge Asteropus sp. The tertiary structures of ASPB and ASPC were determined by solution NMR spectroscopy and that of ASPD by homology modeling.

Results

The isolated asteropsins B–D, together with the previously reported asteropsin A (ASPA), compose a new subclass of knottins that share a highly conserved structural framework and remarkable stability against the enzymes in gastrointestinal tract (chymotrypsin, elastase, pepsin, and trypsin) and human plasma.

Conclusion

Asteropsins can be considered as promising peptide scaffolds for oral bioavailability.

General significance

The structural details of asteropsins provide essential information for the engineering of orally bioavailable peptides.     

Mutation of a pH-modulating residue in a GH51 α-l-arabinofuranosidase leads to a severe reduction of the secondary hydrolysis of transfuranosylation products

Background

The development of enzyme-mediated glycosynthesis using glycoside hydrolases is still an inexact science, because the underlying molecular determinants of transglycosylation are not well understood. In the framework of this challenge, this study focused on the family GH51 α-l-arabinofuranosidase from Thermobacillus xylanilyticus, with the aim to understand why the mutation of position 344 provokes a significant modification of the transglycosylation/hydrolysis partition.

Methods

Detailed kinetic analysis (k_cat, K_M, pK_a determination and time-course NMR kinetics) and saturation transfer difference nuclear magnetic resonance spectroscopy was employed to determine the synthetic and hydrolytic ability modification induced by the redundant N344 mutation disclosed in libraries from directed evolution.

Results

The mutants N344P and N344Y displayed crippled hydrolytic abilities, and thus procured improved transglycosylation yields. This behavior was correlated with an increased pK_a of the catalytic nucleophile (E298), the pK_a of the acid/base catalyst remaining unaffected. Finally, mutations at position 344 provoked a pH-dependent product inhibition phenomenon, which is likely to be the result of a significant modification of the proton sharing network in the mutants.

Conclusions and general significance

Using a combination of biochemical and biophysical methods, we have studied TxAbf-N344 mutants, thus revealing some fundamental details concerning pH modulation. Although these results concern a GH51 α-l-arabinofuranosidase, it is likely that the general lessons that can be drawn from them will be applicable to other glycoside hydrolases. Moreover, the effects of mutations at position 344 on the transglycosylation/hydrolysis partition provide clues as to how TxAbf can be further engineered to obtain an efficient transfuranosidase.     

Addressing the use of PDIF-CN2 molecules in the development of n-type organic field-effect transistors for biosensing applications

Background

There is no doubt that future discoveries in the field of biochemistry will depend on the implementation of novel biosensing techniques, able to record biophysiological events with minimal biological interference. In this respect, organic electronics may represent an important new tool for the analysis of structures ranging from single molecules up to cellular events. Specifically, organic field-effect transistors (OFET) are potentially powerful devices for the real-time detection/transduction of bio-signals. Despite this interest, up to date, the experimental data useful to support the development of OFET-based biosensors are still few and, in particular, n-type (electron-transporting) devices, being fundamental to develop highly-performing circuits, have been scarcely investigated.

Methods

Here, films of N,N′-1H,1H-perfluorobutyldicyanoperylene-carboxydi-imide (PDIF-CN₂) molecules, a recently-introduced and very promising n-type semiconductor, have been evaporated on glass and silicon dioxide substrates to test the biocompatibility of this compound and its capability to stay electrically-active even in liquid environments.

Results

We found that PDIF-CN₂ transistors can work steadily in water for several hours. Biocompatibility tests, based on in-vitro cell cultivation, remark the need to functionalize the PDIF-CN₂ hydrophobic surface by extra-coating layers (i.e. poly-l-lysine) to favor the growth of confluent cellular populations.

Conclusions

Our experimental data demonstrate that PDIF-CN₂ compound is an interesting organic semiconductor to develop electronic devices to be used in the biological field.

General significance

This work contributes to define a possible strategy for the fabrication of low-cost and flexible biosensors, based on complex organic complementary metal-oxide-semiconductor (CMOS) circuitry including both p- (hole-transporting) and n-type transistors. This article is part of a Special Issue entitled Organic Bioelectronics—Novel Applications in Biomedicine.     

Monitoring the kinetics of CellTrace™ calcein red-orange AM intracellular accumulation with spatial intensity distribution analysis

Background

Routine black box approaches quantify fluorescence intensity to profile the uptake of fluorophores, providing limited insight into microscopic events. Spatial intensity distribution analysis has previously been reported to quantify oligomerisation and number of particles from selected regions and profile intracellular distributions of labelled moieties.

Methods

In this study, the concentration and time-dependent behaviour of CellTrace™ calcein red-orange (AM) intracellular accumulation was examined in colorectal adenocarcinoma cell line and bovine aortic endothelial cells. Monolayers were subjected to fluorescence correlation spectroscopy, fluorescence intensity and SpIDA measurements to determine differences in the rate and extent of intracellular accumulation.

Results

Intracellular accumulation data derived from Spatial intensity distribution analysis were found to correlate with that of fluorescence correlation spectroscopy and fluorescence intensity profiles. The extent of intracellular accumulation was found to be time and concentration-dependent in both cell lines examined, with no significant differences in the rate of intracellular accumulation.

Conclusions

Spatial intensity distribution analysis applied at ‘proof of concept’ level is a rapid and user-friendly tool that can be applied to the quantification of intracellular concentration and kinetics of fluorophore uptake.

General significance

Confocal imaging as a routinely implemented tool for profiling fluorescently-labelled species is often under-exploited for yielding quantitative parameters.     

A plant peptide: N-glycanase orthologue facilitates glycoprotein ER-associated degradation in yeast

Background

The cytoplasmic peptide:N-glycanase (PNGase) is a deglycosylating enzyme involved in the ER-associated degradation (ERAD) process, while ERAD-independent activities are also reported. Previous biochemical analyses indicated that the cytoplasmic PNGase orthologue in Arabidopsis thaliana (AtPNG1) can function as not only PNGase but also transglutaminase, while its in vivo function remained unclarified.

Methods

AtPNG1 was expressed in Saccharomyces cerevisiae and its in vivo role on PNGase-dependent ERAD pathway was examined.

Results

AtPNG1 could facilitate the ERAD through its deglycosylation activity. Moreover, a catalytic mutant of AtPNG1 (AtPNG1(C251A)) was found to significantly impair the ERAD process. This result was found to be N-glycan-dependent, as the AtPNG(C251A) did not affect the stability of the non-glycosylated RTA? (ricin A chain non-toxic mutant). Tight interaction between AtPNG1(C251A) and the RTA? was confirmed by co-immunoprecipitation analysis.

Conclusion

The plant PNGase facilitates ERAD through its deglycosylation activity, while the catalytic mutant of AtPNG1 impair glycoprotein ERAD by binding to N-glycans on the ERAD substrates.

General significance

Our studies underscore the functional importance of a plant PNGase orthologue as a deglycosylating enzyme involved in the ERAD.     

On the identifiability of metabolic network models

A major problem for the identification of metabolic network models is parameter identifiability, that is, the possibility to unambiguously infer the parameter values from the data. Identifiability problems may be due to the structure of the model, in particular implicit dependencies between the parameters, or to limitations in the quantity and quality of the available data. We address the detection and resolution of identifiability problems for a class of pseudo-linear models of metabolism, so-called linlog models. Linlog models have the advantage that parameter estimation reduces to linear or orthogonal regression, which facilitates the analysis of identifiability. We develop precise definitions of structural and practical identifiability, and clarify the fundamental relations between these concepts. In addition, we use singular value decomposition to detect identifiability problems and reduce the model to an identifiable approximation by a principal component analysis approach. The criterion is adapted to real data, which are frequently scarce, incomplete, and noisy. The test of the criterion on a model with simulated data shows that it is capable of correctly identifying the principal components of the data vector. The application to a state-of-the-art dataset on central carbon metabolism in Escherichia coli yields the surprising result that only $4$ out of $31$ reactions, and $37$ out of $100$ parameters, are identifiable. This underlines the practical importance of identifiability analysis and model reduction in the modeling of large-scale metabolic networks. Although our approach has been developed in the context of linlog models, it carries over to other pseudo-linear models, such as generalized mass-action (power-law) models. Moreover, it provides useful hints for the identifiability analysis of more general classes of nonlinear models of metabolism.     

Modeling of hemophilia A using patient-specific induced pluripotent stem cells derived from urine cells

Aims

Hemophilia A (HA) is a severe, congenital bleeding disorder caused by the deficiency of clotting factor VIII (FVIII). For years, traditional laboratory animals have been used to study HA and its therapies, although animal models may not entirely mirror the human pathophysiology. Human induced pluripotent stem cells (iPSCs) can undergo unlimited self-renewal and differentiate into all cell types. This study aims to generate hemophilia A (HA) patient-specific iPSCs that differentiate into disease-affected hepatocyte cells. These hepatocytes are potentially useful for in vitro disease modeling and provide an applicable cell source for autologous cell therapy after genetic correction.

Main methods

In this study, we mainly generated iPSCs from urine collected from HA patients with integration-free episomal vectors PEP4-EO2S-ET2K containing human genes OCT4, SOX2, SV40LT and KLF4, and differentiated these iPSCs into hepatocyte-like cells. We further identified the genetic phenotype of the FVIII genes and the FVIII activity in the patient-specific iPSC derived hepatic cells.

Key findings

HA patient-specific iPSCs (HA-iPSCs) exhibited typical pluripotent properties evident by immunostaining, in vitro assays and in vivo assays. Importantly, we showed that HA-iPSCs could differentiate into functional hepatocyte-like cells and the HA-iPSC-derived hepatocytes failed to produce FVIII, but otherwise functioned normally, recapitulating the phenotype of HA disease in vitro.

Significance

HA-iPSCs, particular those generated from the urine using a non-viral approach, provide an efficient way for modeling HA in vitro. Furthermore, HA-iPSCs and their derivatives serve as an invaluable cell source that can be used for gene and cell therapy in regenerative medicine.     

Construction of a large scale integrated map of macrophage pathogen recognition and effector systems

Background

Mathematical models provide abstract representations of the information gained from experimental observations on the structure and function of a particular biological system. Conferring a predictive character on a given mathematical formulation often relies on determining a number of non-measurable parameters that largely condition the model's response. These parameters can be identified by fitting the model to experimental data. However, this fit can only be accomplished when identifiability can be guaranteed.

Results

We propose a novel iterative identification procedure for detecting and dealing with the lack of identifiability. The procedure involves the following steps: 1) performing a structural identifiability analysis to detect identifiable parameters; 2) globally ranking the parameters to assist in the selection of the most relevant parameters; 3) calibrating the model using global optimization methods; 4) conducting a practical identifiability analysis consisting of two (a priori and a posteriori) phases aimed at evaluating the quality of given experimental designs and of the parameter estimates, respectively and 5) optimal experimental design so as to compute the scheme of experiments that maximizes the quality and quantity of information for fitting the model.

Conclusions

The presented procedure was used to iteratively identify a mathematical model that describes the NF-κB regulatory module involving several unknown parameters. We demonstrated the lack of identifiability of the model under typical experimental conditions and computed optimal dynamic experiments that largely improved identifiability properties.     

Different endocytic functions of AGEF-1 in C. elegans coelomocytes

Background

ADP-ribosylation factors (ARFs) are a family of small GTP-binding proteins that play roles in membrane dynamics and vesicle trafficking. AGEF-1, which is thought to act as a guanine nucleotide exchange factor of class I ARFs, is required for caveolin-1 body formation and receptor-mediated endocytosis in oocytes of Caenorhabditis elegans. This study explores additional roles of AGEF-1 in endocytic transport.

Methods

agef-1 expression was knocked down by using RNAi in C. elegans. Markers that allow analysis of endocytic transport in scavenger cells were investigated for studying the effect of AGEF-1 on different steps of membrane transport.

Results

Knockdown of AGEF-1 levels results in two apparent trafficking defects in coelomocytes of C. elegans. First, there is a delay in the uptake of solutes from the extracellular medium. Second, there is a dramatic enlargement of the sizes of lysosomes, even though lysosomal acidification is normal and degradation still occurs.

Conclusion

Our results suggest that AGEF-1 regulates endosome/lysosome fusion or fission events, in addition to earlier steps in endocytic transport.

General significance

AGEF-1 is the first identified GTPase regulator that functions at the lysosome fusion or fission stage of the endocytic pathway. Our study provides insight into lysosome dynamics in C. elegans.     

Structural and catalytic roles of residues located in β13 strand and the following β-turn loop in Fibrobacter succinogenes 1,3-1,4-β-d-glucanase

Background

Fibrobacter succinogenes 1,3-1,4-β-d-glucanase (Fsβ-glucanase) is the only naturally occurring circularly permuted β-glucanase among bacterial glucanases with reverse protein domains. We characterized the functional and structural significance of residues 200–209 located in the domain B of Fsβ-glucanase, corresponding to the major surface loop in the domain A region of Bacillus licheniformis glucanase.

Methods

Rational design approaches including site-directed mutagenesis, initial-rate kinetics, and structural modeling analysis were used in this study.

Results

Our kinetic data showed that D202N and D206N exhibited a 1.8- and 1.5-fold increase but G207N, G207−, F205L, N208G and T204F showed a 7.0- to 2.2-fold decrease, in catalytic efficiency (k_cat/K_M) compared to the wild-type enzyme. The comparative energy ΔΔG_b value in individual mutant enzymes was well correlated to their catalytic efficiency. D206R mutant enzyme exhibited the highest relative activity at 50 °C over 10 min, whereas K200F was the most heat-sensitive enzyme.

Conclusions

This study demonstrates that Phe205, Gly207, and Asn208 in the Type II turn of the connecting loop may play a role in the catalytic function of Fsβ-glucanase.

General significance

Residues 200–209 in Fsβ-glucanase resided at the similar structural topology to that of Bacillus enzyme were found to play some similar catalytic function in glucanase.     

Cloning and functional characterization of an enzyme from Helicobacter pylori that catalyzes two steps of the methylerythritol phosphate pathway for isoprenoid biosynthesis

Background

The methylerythritol phosphate pathway for isoprenoid biosynthesis is an attractive target for the design of new specific antibiotics for the treatment of gastrointestinal diseases associated with the presence of the bacterium Helicobacter pylori since this pathway which is essential to the bacterium is absent in humans.

Results

This work reports the molecular cloning of one of the genes of the methylerythritol phosphate pathway form H. pylori (ispDF; HP_1440) its expression in Escherichia coli and the functional characterization of the recombinant enzyme. As shown by genetic complementation and in vitro functional assays the product of the ispDF gene form H. pylori is a bifunctional enzyme which can replace both CDP-methylerythritol synthase and methylerythritol cyclodiphosphate synthase from E. coli.

General significance

Designing inhibitors that affect at the same time both enzyme activities of the H. pylori bifunctional enzyme (i.e. by disrupting protein oligomerization) would result in more effective antibiotics which would be able to continue their action even if the bacterium acquired a resistance to another antibiotic directed against one of the individual activities.

Conclusion

The bifunctional enzyme would be an excellent target for the design of new, selective antibiotics for the treatment of H. pylori associated diseases.     

VP2118 has major roles in Vibrio parahaemolyticus response to oxidative stress

Background

Reactive oxygen species (ROS), including superoxide anion radical, induce chronic risk of oxidative damage to many cellular macromolecules resulting in damage to cells. Superoxide dismutases (SODs) catalyze the dismutation of superoxide to oxygen and hydrogen peroxide and are a primary defense against ROS. Vibrio parahaemolyticus, a marine bacterium that causes acute gastroenteritis following consumption of raw or undercooked seafood, can survive ROS generated by intestinal inflammatory cells. However, there is little information concerning SODs in V. parahaemolyticus. This study aims to clarify the role of V. parahaemolyticus SODs against ROS.

Methods

V. parahaemolyticus SOD gene promoter activities were measured by a GFP reporter assay. Mutants of V. parahaemolyticus SOD genes were constructed and their SOD activity and resistance to oxidative stresses were measured.

Results

Bioinformatic analysis showed that V. parahaemolyticus SODs were distinguished by their metal cofactors, FeSOD (VP2118), MnSOD (VP2860), and CuZnSOD (VPA1514). VP2118 gene promoter activity was significantly higher than the other SOD genes. In a VP2118 gene deletion mutant, SOD activity was significantly decreased and could be recovered by VP2118 gene complementation. The absence of VP2118 resulted in significantly lowered resistance to ROS generated by hydrogen peroxide, hypoxanthine–xanthine oxidase, or Paraquat. Furthermore, both the N- and C-terminal SOD domains of VP2118 were necessary for ROS resistance.

Conclusion

VP2118 is the primary V. parahaemolyticus SOD and is vital for anti-oxidative stress responses.

General significance

The V. parahaemolyticus FeSOD VP2118 may enhance ROS resistance and could promote its survival in the intestinal tract to facilitate host tissue infection.