Crystal structures and protein engineering of three different penicillin G acylases from Gram-positive bacteria with different thermostability.

Penicillin G acylase (PGA) catalyzes the hydrolysis of penicillin G to 6-aminopenicillanic acid and phenylacetic acid, which provides the precursor for most semisynthetic penicillins. Most applications rely on PGAs from Gram-negative bacteria. Here we describe the first three crystal structures for PGAs from Gram-positive Bacilli and their utilization in protein engineering experiments for the manipulation of their thermostability. PGAs from Bacillus megaterium (BmPGA, Tm = 56.0 °C), Bacillus thermotolerans (BtPGA, Tm = 64.5 °C), and Bacillus sp. FJAT-27231 (FJAT-PGA, Tm = 74.3 °C) were recombinantly produced with B. megaterium, secreted, purified to apparent heterogeneity, and crystallized. Structures with resolutions of 2.20 Å (BmPGA), 2.27 Å (BtPGA), and 1.36 Å (FJAT-PGA) were obtained. They revealed high overall similarity, reflecting the high identity of up to approx. 75%. Notably, the active center displays a deletion of more than ten residues with respect to PGAs from Gram-negatives. This enlarges the substrate binding site and may indicate a different substrate spectrum. Based on the structures, ten single-chain FJAT-PGAs carrying artificial linkers were produced. However, in all cases, complete linker cleavage was observed. While thermostability remained in the wild-type range, the enzymatic activity dropped between 30 and 60%. Furthermore, four hybrid PGAs carrying subunits from two different enzymes were successfully produced. Their thermostabilities mostly lay between the values of the two mother enzymes. For one PGA increased, enzyme activity was observed. Overall, the three novel PGA structures combined with initial protein engineering experiments provide the basis for establishment of new PGA-based biotechnological processes.

Polyketide synthase (PKS) reduces fusion of Legionella pneumophila-containing vacuoles with lysosomes and contributes to bacterial competitiveness during infection.

L. pneumophila-containing vacuoles (LCVs) exclude endocytic and lysosomal markers in human macrophages and protozoa. We screened a L. pneumophila mini-Tn10 transposon library for mutants, which fail to inhibit the fusion of LCVs with lysosomes by loading of the lysosomal compartment with colloidal iron dextran, mechanical lysis of infected host cells, and magnetic isolation of LCVs that have fused with lysosomes. In silico analysis of the mutated genes, D. discoideum plaque assays and infection assays in protozoa and U937 macrophage-like cells identified well established as well as novel putative L. pneumophila virulence factors. Promising candidates were further analyzed for their co-localization with lysosomes in host cells using fluorescence microscopy. This approach corroborated that the O-methyltransferase, PilY1, TPR-containing protein and polyketide synthase (PKS) of L. pneumophila interfere with lysosomal degradation. Competitive infections in protozoa and macrophages revealed that the identified PKS contributes to the biological fitness of pneumophila strains and may explain their prevalence in the epidemiology of Legionnaires' disease.

InFiRe -- a novel computational method for the identification of insertion sites in transposon mutagenized bacterial genomes.

MOTIVATION: InFiRe, Insertion Finder via Restriction digest, is a novel software tool that allows for the computational identification of transposon insertion sites in known bacterial genome sequences after transposon mutagenesis experiments. The approach is based on the fact that restriction endonuclease digestions of bacterial DNA yield a unique pattern of DNA fragments with defined sizes. Transposon insertion changes the size of the hosting DNA fragment by a known number of base pairs. The exact size of this fragment can be determined by Southern blot hybridization. Subsequently, the position of insertion can be identified with computational analysis. The outlined method provides a solid basis for the establishment of a new high-throughput technology. AVAILABILITY AND IMPLEMENTATION: The software is freely available on our web server at www.infire.tu-bs.de. The algorithm was implemented in the statistical programming language R. For the most flexible use, InFiRe is provided in two different versions. A web interface offers the convenient use in a web browser. In addition, the software and source code is freely available for download as R-packages on our website. CONTACT: m.steinert@tu-bs.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.