Oxford University Press (OUP)

Microorganisms have become an increasingly important platform for the production of drugs, chemicals, and biofuels from renewable resources. Advances in protein engineering, metabolic engineering, and synthetic biology enable redesigning microbial cellular networks and fine-tuning physiological capabilities, thus generating industrially viable strains for the production of natural and unnatural value-added compounds. In this review, we describe the recent progress on engineering microbial factories for synthesis of valued-added products including alkaloids, terpenoids, flavonoids, polyketides, non-ribosomal peptides, biofuels, and chemicals. Related topics on lignocellulose degradation, sugar utilization, and microbial tolerance improvement will also be discussed.

Phosphonate natural products have proven to be a rich source of useful pharmaceutical, agricultural, and biotechnology products, whereas study of their biosynthetic pathways has revealed numerous intriguing enzymes that catalyze unprecedented biochemistry. Here we review the history of phosphonate natural product discovery, highlighting technological advances that have played a key role in the recent advances in their discovery. Central to these developments has been the application of genomics, which allowed discovery and development of a global phosphonate metabolic framework to guide research efforts. This framework suggests that the future of phosphonate natural products remains bright, with many new compounds and pathways yet to be discovered.

was isolated from flour mill wastes. It produced a thermostable α-amylase in complex media containing starch. Amylase activity was optimal at the exponential phase and was more strongly expressed with sorghum, yam peel and corn starch than soluble potato starch. The enzyme was purified 24-fold to a specific activity of 2200 U mg−1, with a yield of 10%. It yielded a single band when subjected to SDS-PAGE and an apparent molecular mass of 54780 was determined by mass spectrometry. The enzyme, which was optimally active at 80°C and pH 5.6, released saccharides with a polymerisation degree of 1–6 following hydrolysis of yam peel, sorghum and corn starch. Cells of B. subtilis were exposed to ultraviolet irradiation and N-methyl-N′-nitro-N-nitrosoguanidine. Hyperproductive mutants were obtained by these treatments.

The recombinant plasmid, pPFC4, which carriesPseudomonas fluorescens subsp.cellulosa chromosomal DNA was previously isolated on the basis of its ability to direct the expression of endoglucanase inEscherichia coli. In the present study, some physical and chemical properties of this activity were characterized. The major portion (78.4%) of the endoglucanase activity is found in the periplasmic space ofE. coli. This plasmid-encoded endoglucanase has a pH optimum of approximately 6.0 and a temperature optimum of approximately 50°C. With carboxymethylcellulose-zymograms, after polyacrylamide gel electrophoresis, periplasmic extracts fromE. coli carrying pPFC4 show six distinct bands with endoglucanase activity. The molecular mass of the major endoglucanase band is approximately 29 kDa while the remaining bands with endoglucanase activity range from 48 to 100 kDa. Although the basis of this heterogeneity is not known, the DNA insert of pPFC4 that encodes endoglucanase activity is not large enough to contain six separate genes; hence, the observed array of endoglucanases may result from post-translational modification of one or two primary gene products.

To enhance utility of the linear epitope mapping (Pepscan) technique for assay of humoral responses linked to vaccination, two modifications were tested. First, peptides were incubated with serum contained in baths rather than individual wells. Second, a rigorous statistical model was developed to determine which peptide/antibody-binding interactions were significant. The modifications increased the ability to detect signal in these experiments by 15- to 45-fold. These two modifications were applied to linear epitope mapping of HIV seropositive volunteers under treatment with recombinant HIV gp160 and also to rabbits immunized with the same product. Changes in fine specificity of response were observed in animal models and human vaccine recipients over the course of an immunization series with this antigen.

A novel chromatic visible screening method using bromothymol blue (BTB) as a color indicator and cetylpyridinium chloride (CPC) as a mediator was constructed to obtain the high titer surfactin-producing strains. The reliability and quantification accuracy of color shift were also confirmed. Regular chromatic responses from faint yellow-green to dark green and bright blue reflected the different ranges of surfactin concentrations. Moreover, the quantitative accuracy of surfactin quantification in the range of 100–500 mg/L was verified by reverse-phase high-performance liquid chromatography (RP-HPLC) using different fermentation supernatant samples. Using this CPC–BTB method, a superior surfactin producer, Bacillus subtilis THY-15, was successfully screened. The producer’s surfactin (Srf) titer reached 1240 mg/L. RP-HPLC analysis of THY-15 revealed four surfactin isoforms. As identified by amino acid analysis and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry analysis, the isoforms of surfactin in fraction 1, 2 and 4 had the same circular peptide sequence of Glu-Leu-Leu-Val-Asp-Leu-Leu but different iso-C13, C14 and C15 fatty acid chains, but the isoform in fraction 3 possessed a special peptide sequence of Glu-Val-Leu-Leu-Asp-Leu-Val.

An acetate negative mutant of Yarrowia lipolytica Wratislavia AWG7 was found to be suitable for the production of high amounts of citric acid in long-term repeated-batch cultures. When 40% of fresh replaced medium was fed, this strain produced 154 g l−1, on average, which corresponded to a 0.78 g g−1 yield and a productivity of 1.05 g l−1 h−1. The activity of the culture remained stable for more than 1,650 h, i.e., 16 cycles of the repeated-batch bioreactors.

An on-line hybrid fuzzy-neural soft-sensing model-based control system was developed to optimize dissolved oxygen concentration in a bench-scale anaerobic/anoxic/oxic (A2/O) process. In order to improve the performance of the control system, a self-adapted fuzzy c-means clustering algorithm and adaptive network-based fuzzy inference system (ANFIS) models were employed. The proposed control system permits the on-line implementation of every operating strategy of the experimental system. A set of experiments involving variable hydraulic retention time (HRT), influent pH (pH), dissolved oxygen in the aerobic reactor (DO), and mixed-liquid return ratio (r) was carried out. Using the proposed system, the amount of COD in the effluent stabilized at the set-point and below. The improvement was achieved with optimum dissolved oxygen concentration because the performance of the treatment process was optimized using operating rules implemented in real time. The system allows various expert operational approaches to be deployed with the goal of minimizing organic substances in the outlet while using the minimum amount of energy.