Optimization of riboflavin production by recombinant <Emphasis Type="Italic">Bacillus subtilis</Emphasis> RH44 using statistical designs

A sequential optimization strategy, based on statistical experimental designs, was used to enhance the production of riboflavin by recombinant Bacillus subtilis RH44. In the first instance, the medium components were optimized in shake flask cultures. After preliminary experiments of nitrogen source selection, the two-level Plackett–Burman (PB) design was implemented to screen medium components that significantly influence riboflavin production. Among the 15 variables tested, glucose, NaNO₃, K₂HPO₄, ZnSO₄, and MnCl₂ were identified as the most significant factors (confidence levels above 95%) for riboflavin production. The optimal values of these five variables were determined by response surface methodology (RSM) based on the central composite design (CCD). The validity of the model developed was verified, and the optimum medium led to a maximum riboflavin concentration of 6.65 g/l, which was 44.3 and 76.4% higher than the improved medium and the basal medium, respectively. A glucose-limited fed-batch culture profile in a 5-l fermentor was consequently designed according to the above optimum medium in shake flasks. A final riboflavin concentration of 16.36 g/l was obtained in 48 h, which further verified the practicability of this optimum strategy.     

Structural basis for the aldolase and epimerase activities of Staphylococcus aureus dihydroneopterin aldolase

Dihydroneopterin aldolase (DHNA) catalyzes the conversion of 7,8-dihydroneopterin (DHNP) to 6-hydroxymethyl-7,8-dihydropterin (HP) and the epimerization of DHNP to 7,8-dihydromonopterin (DHMP). Although crystal structures of the enzyme from several microorganisms have been reported, no structural information is available about the critical interactions between DHNA and the trihydroxypropyl moiety of the substrate, which undergoes bond cleavage and formation. Here, we present the structures of Staphylococcus aureus DHNA (SaDHNA) in complex with neopterin (NP, an analog of DHNP) and with monapterin (MP, an analog of DHMP), filling the gap in the structural analysis of the enzyme. In combination with previously reported SaDHNA structures in its ligand-free form (PDB entry 1DHN) and in complex with HP (PDB entry 2DHN), four snapshots for the catalytic center assembly along the reaction pathway can be derived, advancing our knowledge about the molecular mechanism of SaDHNA-catalyzed reactions. An additional step appears to be necessary for the epimerization of DHMP to DHNP. Three active site residues (E22, K100, and Y54) function coordinately during catalysis: together, they organize the catalytic center assembly, and individually, each plays a central role at different stages of the catalytic cycle.     

Flagellin contamination of recombinant heat shock protein 70 is responsible for its activity on T cells

Heat shock proteins (Hsp) 60 and 70 have been intensively studied for their ability to activate innate immunity. Heat shock proteins had been shown to induce the activation of dendritic cells, T cells, and B cells. However, the possible contamination of endotoxin in heat shock protein preparations makes their function as an activator of immune system ambiguous. Here, we examined the ability of bacterial Hsp60 and Hsp70 to activate Jurkat T cells and primary T cells. We found that Burkholderia pseudomallei Hsp70 and Mycobacterium tuberculosis Hsp70 could costimulate Jurkat T cells to make IL-2 and signal through TLR5. This costimulatory activity is not due to endotoxin or contaminants signaling via TLR2 nor TLR4. However, recombinant Hsp70 expressed in Escherichia coli DeltafliC strain completely lost its ability to costimulate T cells. Thus, the activation of T cells by recombinant Hsp70 is ascribed to flagellin contamination.     

Electrochemical study of the effect of nano-zinc oxide on microperoxidase and its application to more sensitive hydrogen peroxide biosensor preparation

Direct electron transfer reactions of microperoxidase were achieved with the help of semiconductive zinc oxide nanoparticles on a pyrolytic graphite electrode. The enzyme could also exhibit fine electrocatalytic activity towards the reduction of hydrogen peroxide. Thereby, a hydrogen peroxide biosensor was constructed based on the electrocatalysis of microperoxidase. Further studies revealed that after irradiating the microperoxidase/zinc oxide nanoparticles co-modified electrode with UV light for 4h, the catalytic ability of microperoxidase could be greatly promoted, which could be beneficial to developing more sensitive hydrogen peroxide biosensors. As comparison, it was found that the catalytic activity of the enzyme would be depressed if microperoxidase/agarose co-modified electrode was irradiated. We supposed it was the photovoltaic effect of the zinc oxide nanoparticles that improved the catalytic ability of microperoxidase.     

A computational proposal for designing structured RNA pools for in vitro selection of RNAs

Although in vitro selection technology is a versatile experimental tool for discovering novel synthetic RNA molecules, finding complex RNA molecules is difficult because most RNAs identified from random sequence pools are simple motifs, consistent with recent computational analysis of such sequence pools. Thus, enriching in vitro selection pools with complex structures could increase the probability of discovering novel RNAs. Here we develop an approach for engineering sequence pools that links RNA sequence space regions with corresponding structural distributions via a "mixing matrix" approach combined with a graph theory analysis. We define five classes of mixing matrices motivated by covariance mutations in RNA; these constructs define nucleotide transition rates and are applied to chosen starting sequences to yield specific nonrandom pools. We examine the coverage of sequence space as a function of the mixing matrix and starting sequence via clustering analysis. We show that, in contrast to random sequences, which are associated only with a local region of sequence space, our designed pools, including a structured pool for GTP aptamers, can target specific motifs. It follows that experimental synthesis of designed pools can benefit from using optimized starting sequences, mixing matrices, and pool fractions associated with each of our constructed pools as a guide. Automation of our approach could provide practical tools for pool design applications for in vitro selection of RNAs and related problems.     

RagPools: RNA-As-Graph-Pools--a web server for assisting the design of structured RNA pools for in vitro selection

SUMMARY: Our RNA-As-Graph-Pools (RagPools) web server offers a theoretical companion tool for RNA in vitro selection and related problems. Specifically, it suggests how to construct RNA sequence/structure pools with user-specified properties and assists in analyzing resulting distributions. This utility follows our recently developed approach for engineering sequence pools that links RNA sequence space regions with corresponding structural distributions via a 'mixing matrix' approach combined with a graph theory analysis of RNA secondary-structure space; the mixing matrix specifies nucleotide transition rates, and graph theory links sequences to simple graphical objects representing RNA motifs. The companion RagPools web server ('Designer' component) provides optimized starting sequences, mixing matrices and associated weights in response to a user-specified target pool structure distribution. In addition, RagPools ('Analyzer' component) analyzes the motif distribution of pools generated from user-specified starting sequences and mixing matrices. Thus, RagPools serves as a guide to researchers who aim to synthesize RNA pools with desired properties and/or experiment in silico with various designs by our approach. AVAILABILITY: The web server is accessible on the web at http://rubin2.biomath.nyu.edu     

Requirement of a mip-like gene for virulence in the phytopathogenic bacterium Xanthomonas campestris pv. campestris

Macrophage infectivity potentiators (Mips) are FKBP domain-containing proteins reported as virulence factors in several human pathogens, such as members of genera Legionella, Salmonella and Chlamydia. The putative peptidylprolyl cis-trans isomerase (PPIase) encoded by XC2699 of the plant bacterial pathogen Xanthomonas campestris pv. campestris 8004 exhibits a 49% similarity at the amino-acid level to the Mip protein of Legionella pneumophila. This mip-like gene, XC2699, was overexpressed in Escherichia coli and the purified (His)6-tagged Mip-like protein encoded by XC2699 exhibited a PPIase activity specifically inhibited by FK-506. A mutation in the mip-like gene XC2699 led to significant reductions in virulence and replication capacity in the host plant Chinese radish (Raphanus sativus L. var. radiculus Pers.). Furthermore, the production of exopolysaccharide and the activity of extracellular proteases, virulence factors of X. campestris pv. campestris, were significantly decreased in the mip-like mutant. These results reveal that the mip-like gene is involved in the pathogenesis of X. campestris pv. campestris through an effect on the production of these virulence factors.