Metabolic engineering of Synechococcus elongatus for photoautotrophic production of mannitol

With multiple applications in food, pharmaceutical, and chemical industries as antioxidant or nonmetabolizable sweetener; the bioproduction of d -mannitol is gaining global attention, especially with photosynthetic organisms as hosts. Considering the sustainability prospects, the current work encompasses metabolic engineering of a widely used cyanobacterial strain, Synechococcus elongatus PCC 7942, and two newly isolated fast-growing cyanobacterial strains; S. elongatus PCC 11801 and S. elongatus PCC 11802, for mannitol production. We engineered these strains with a two-step pathway by cloning genes for mannitol-1-phosphate dehydrogenase (mtlD) and mannitol-1-phosphatase (mlp), where the mtlD expression was under the control of different promoters from PCC 7942, namely, P_rbc225, P_cpcB300, P_cpcBm1, P_rbcLm17, and P_rbcLm15. The strains were tested under the “switch conditions,” where the growth conditions were switched after the first 3 days, thereby resulting in differential promoter activity. Among the engineered strains of PCC 11801 and PCC 11802, the strains possessing P_rbc225-mtlD module produced relatively high mannitol titers of 401 ± 18 mg/L and 537 ± 18 mg/L, respectively. The highest mannitol titer of 701 ± 15 mg/L (productivity 60 mg/L.d, yield 895 µM/OD₇₃₀) was exhibited by the engineered strain of PCC 7942 expressing P_cpcB300-mtlD module. It is by far the highest obtained mannitol yield from the engineered cyanobacteria.     

Parameterization and classification of the protein universe via geometric techniques

We present a scheme for the classification of 3487 non-redundant protein structures into 1207 non-hierarchical clusters by using recurring structural patterns of three to six amino acids as keys of classification. This results in several signature patterns, which seem to decide membership of a protein in a functional category. The patterns provide clues to the key residues involved in functional sites as well as in protein-protein interaction. The discovered patterns include a "glutamate double bridge" of superoxide dismutase, the functional interface of the serine protease and inhibitor, interface of homo/hetero dimers, and functional sites of several enzyme families. We use geometric invariants to decide superimposability of structural patterns. This allows the parameterization of patterns and discovery of recurring patterns via clustering. The geometric invariant-based approach eliminates the computationally explosive step of pair-wise comparison of structures. The results provide a vast resource for the biologists for experimental validation of the proposed functional sites, and for the design of synthetic enzymes, inhibitors and drugs.     

Method for lipase-catalyzed carbonate synthesis via one- and two-step alkoxycarbonylation reactions

Lipase-catalyzed alkoxycarbonylation methods offer potential advantages over the currently practiced industrial scale chemical synthesis of carbonates. We report a method for synthesis of organic carbonates via lipase-catalyzed alkoxycarbonylation between diphenyl carbonate and various alcohols in hexane. This method utilizes precursors that are readily available and does not involve extensive purification of the intermediate. In a two-step process, the two phenyl groups of diphenyl carbonate were substituted by two alcohol nucleophiles. The approach was demonstrated for two-step synthesis of 14 different disubstituted carbonate products. The rates of reaction for the two steps were much slower if the order of nucleophile addition was reversed. Under optimal conditions, complete conversion of diphenyl carbonate occurred within 8-15 h at 50 degrees C, which is a significant improvement from 50-90 h at 24 degrees C. A kinetic model for the alkoxycarbonylation reaction was derived based on the Michaelis-Menten equation, which simplified to first-order kinetics at low and equimolar concentration of substrates.     

Protein local conformations arise from a mixture of Gaussian distributions

The classical approaches for protein structure prediction rely either on homology of the protein sequence with a template structure or on ab initio calculations for energy minimization. These methods suffer from disadvantages such as the lack of availability of homologous template structures or intractably large conformational search space, respectively. The recently proposed fragment library based approaches first predict the local structures, which can be used in conjunction with the classical approaches of protein structure prediction. The accuracy of the predictions is dependent on the quality of the fragment library. In this work, we have constructed a library of local conformation classes purely based on geometric similarity. The local conformations are represented using Geometric Invariants, properties that remain unchanged under transformations such as translation and rotation, followed by dimension reduction via principal component analysis. The local conformations are then modeled as a mixture of Gaussian probability distribution functions (PDF). Each one of the Gaussian PDF’s corresponds to a conformational class with the centroid representing the average structure of that class. We find 46 classes when we use an octapeptide as a unit of local conformation. The protein 3-D structure can now be described as a sequence of local conformational classes. Further, it was of interest to see whether the local conformations can be predicted from the amino acid sequences. To that end, we have analyzed the correlation between sequence features and the conformational classes.     

Structure based prediction of functional sites with potential inhibitors to Nudix enzymes from disease causing microbes

The functional sites were predicted for Nudix enzymes from pathogenic microorganisms such as Streprococcus pneumonia (2B06) and Enterococcus faecalis (2AZW). Their structures are already determined, however, no data is reported about their functional sites, substrates and inhibitors. Therefore, we report prediction of functional sites in these Nudix enzymes via Geometric Invariant (GI) technique (Construct different geometries of peptides which remain unchanged). The GI method enumerated 2B06: RA57, EA58, EA61, EA62 and 2AZW: RA62, EA63, EA66, EA67 as putative functional sites in these Nudix enzymes. In addition, the substrate was predicted via Molecular docking (Docking of substrates against whole structure of Nudix enzymes). The substrate ADP-Ribose was docked with the Nudix enzymes, 2B06 (Docking energy -15.68 Kcal/mol) and 2AZW (Docking energy -10.86 Kcal/mol) with the higher affinity and the lower docking energy as compared to other substrates. The residues EA62 in 2B06 and RA62 in 2AZW make hydrogen bonds with the ADP-ribose. Furthermore, we screened 51 inhibitor compounds against structures of 2B06 and 2AZW. The inhibitor compounds AMPCPR and CID14258187 were docked well as compared to other compounds. The compound CID14258187 was also in agreement with Lipinski rule of 5 for drug likeness properties. Therefore, our findings of functional sites, substrates and inhibitors for these Nudix enzymes may help in structure based drug designing against Streprococcus pneumonia and Enterococcus faecalis.     

A cybernetic model to predict the effect of freely available nitrogen substrate on rifamycin B production in complex media

It is well-known that secondary metabolite production is repressed by excess nitrogen substrate available in the fermentation media. Although the nitrogen catabolite repression has been known, quantitative process models have not been reported to represent this phenomenon in complex medium. In this paper, we present a cybernetic model for rifamycin B production via Amycolatopsis mediterranei S699 in complex medium, which is typically used in industry. Nitrogen substrate is assumed to be present in two forms in the medium; available nitrogen (S _ANS) such as free amino acids and unavailable nitrogen (S _UNS) such as peptides and proteins. The model assumes that an inducible enzyme catalyzes the conversion of S _UNS to S _ANS. Although S _ANS is required for growth and product formation, high concentrations were found to inhibit rifamycin production. To experimentally validate the model, five different organic nitrogen sources were used that differ in the ratio of S _ANS/S _UNS. The model successfully predicts higher rifamycin B productivity for nitrogen sources that contain lower initial S _ANS. The higher productivity is attributed to the sustained availability of S _ANS at low concentration via conversion of S _UNS to S _ANS, thereby minimizing the effects of nitrogen catabolite repression on rifamycin production. The model can have applications in model-based optimization of substrate feeding recipe and in monitoring and control of fed batch processes.     

Hierarchical amino acid utilization and its influence on fermentation dynamics: rifamycin B fermentation using Amycolatopsis mediterranei S699, a case study

Background  

Industrial fermentation typically uses complex nitrogen substrates which consist of mixture of amino acids. The uptake of amino acids is known to be mediated by several amino acid transporters with certain preferences. However, models to predict this preferential uptake are not available. We present the stoichiometry for the utilization of amino acids as a sole carbon and nitrogen substrate or along with glucose as an additional carbon source. In the former case, the excess nitrogen provided by the amino acids is excreted by the organism in the form of ammonia. We have developed a cybernetic model to predict the sequence and kinetics of uptake of amino acids. The model is based on the assumption that the growth on a specific substrate is dependent on key enzyme(s) responsible for the uptake and assimilation of the substrates. These enzymes may be regulated by mechanisms of nitrogen catabolite repression. The model hypothesizes that the organism is an optimal strategist and invests resources for the uptake of a substrate that are proportional to the returns.     

Metabolic flexibility of d-ribose producer strain of Bacillus pumilus under environmental perturbations

The metabolic reaction rate vector is a bridge that links gene and protein expression alterations to the phenotypic endpoint. We present a simple approach for the estimation of flux distribution at key branch points in the metabolic network by using substrate uptake, metabolite secretion rate, and biomass growth rate for transketolase (tkt) deficient Bacillus pumilus ATCC 21951. We find that the glucose-6-phosphate (G6P) and pseudo catabolic/anabolic branch points are flexible in the D: -ribose-producing tkt deficient strain of B. pumilus. The normalized flux through the pentose phosphate pathway (PPP) varied from 1.5 to 86?% under different growth conditions, thereby enabling substantial extracellular accumulation of D: -ribose under certain conditions. Interestingly, the flux through PPP was affected by the extracellular phosphate concentration and dissolved oxygen concentration. This metabolic flexibility may have been the underlying reason for this strain being selected from thousands of others in a screening for D: -ribose producers conducted in the 1970s.     

Correlation between pellet morphology and glycopeptide antibiotic balhimycin production by Amycolatopsis balhimycina DSM 5908

Actinomycetes, a class of filamentous bacteria, are an important source of several industrially relevant secondary metabolites. Several environmental factors including the media composition affect both biomass growth and product formation. Likewise, several studies have shown that environmental factors cause changes in cellular morphology. However, the relationship between morphology and product formation is not well understood. In this study, we first characterized the effect of varying concentrations of phosphate and ammonia in defined media on pellet morphology for an actinomycete Amycolatopsis balhimycina DSM 5908, which produces balhimycin, a glycopeptide antibiotic. Our results show that higher balhimycin productivity is correlated with the following morphological features: (1) higher pellet fraction in the biomass, (2) small elongated pellets, and (3) shorter filaments in hyphal growth in the periphery of the pellets. The correlation between morphology and product formation was also observed in industrially relevant complex media. Although balhimycin production starts after 72 h with maximum production around 168 h, the morphological changes in pellets are observed as early as 24 h after commencing of the batch. Therefore, morphology may be used as an early predictor of the end-of-batch productivity. We argue that a similar strategy can be developed for other strains where morphological indicators may be used as a batch monitoring tool.