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We describe the complete genome sequence of Leptospirillum sp. group II strain CF-1, an acidophilic bioleaching bacterium isolated from an acid mine drainage (AMD). This work provides data to gain insights about adaptive response of Leptospirillum spp. to the extreme conditions of bioleaching environments., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Pseudomonas putida KT2440 is frequently used in biotechnical research and applications due to its metabolic versatility and organic solvent resistance. A major drawback for a broad application is the inability of the bacterium to survive and grow under anoxic conditions, which prohibits the production of oxygen-sensitive proteins and metabolites. To develop a P. putida strain, which is able to survive under anoxic conditions, the enzymatic systems of anaerobic nitrate and nitrite respiration were introduced into KT2440. For this purpose, two cosmids encoding all structural, maturation and regulatory genes for P. aeruginosa nitrate reductase (pNAR) and nitrite- and nitric oxide reductase (pNIR-NOR) were stably maintained in P. putida KT2440. Transcriptome analyses revealed expression of the encoded nar, nir and nor operons and accessory genes under anoxic conditions. The produced enzyme systems efficiently reduced nitrate or nitrite, respectively, sustaining anaerobic life of recombinant KT2440. Interestingly, anaerobic life of P. putida induced genes involved in arginine-fermentation and genes encoding a putative copper stress resistance operon., (Copyright © 2012 Elsevier B.V. All rights reserved.)

The high industrial relevance of the soil bacterium Bacillus megaterium as host for recombinant proteins is driving systems-wide analyses of its metabolic and regulatory networks. The present review highlights novel systems biology tools available to unravel the various cellular components on the level of metabolic and regulatory networks. These provide a rational platform for systems metabolic engineering of B. megaterium. In line, a number of interesting studies have particularly focused on studying recombinant B. megaterium in its industrial bioprocess environment thus integrating systems metabolic engineering with systems biotechnology and providing the full picture toward optimal processes., (Copyright © 2012 Elsevier B.V. All rights reserved.)

A sucrose-inducible promoter system (P(sacB)) from Bacillus megaterium was identified using a secretome approach. It was successfully employed for the extracellular production of the homologous levansucrase SacB (4252.4 U l(-1)) and the heterologous green fluorescent protein GFP (7.9 mg g(CDW)(-1)). Mutational analysis of B. megaterium P(sacB) allowed the identification of important promoter elements. The sucrose-inducible promoter provides a useful alternative to the established xylose-inducible promoter system (P(xylA)) for recombinant gene expression in B. megaterium.

The recombinant Bacillus megaterium strain WH323 was employed for the inducible production and secretion of recombinant Thermobifida fusca hydrolase (TFH). Continuous cultivations were carried out in a chemostat using either glucose or pyruvate as sole carbon source. A remarkable increase of produced TFH was detected for the pyruvate-dependent cultivation compared to glucose-dependent growth. Estimation of intracellular carbon fluxes through the central metabolism for both growth conditions using (13)C-labelled substrates revealed noticeable changes of the fluxes through the tricarboxylic acid cycle, the pentose phosphate pathway and around the pyruvate node when protein production was induced. With pyruvate as sole carbon source the observed alterations of the fluxes yielded an increased production of ATP and NADPH both required for the anabolism. Additionally, the analysis of the corresponding secretome revealed significantly reduced amounts of extracellular proteases in the medium compared to glucose-grown cultivations. Thus, pyruvate-dependent chemostat cultivation was identified as a favourable condition for production and secretion of recombinant TFH using B. megaterium as production host.

Peptide mass fingerprint (PMF) matching is a high-throughput method used for protein spot identification in connection with two-dimensional gel electrophoresis (2DE). However, the success of PMF matching largely depends on whether the proteins to be identified exist in the database searched. Consequently, it is often necessary to apply other more sophisticated but also time-consuming technologies to generate sequence-tags for definitive protein identification. On the other hand, modern sequencing technologies are generating a large quantity of DNA sequences, first in unfinished form or with low genome coverage due to the time-consuming and thus limiting steps of finishing and annotation. We recently started to sequence the genome of Bacillus megaterium DSM 319, a bacterium of industrial interest. In this study, we demonstrate that a protein database generated from merely three-fold coverage, unfinished genomic sequences of this bacterium allows a fast and reliable protein spot identification solely based on PMF from high-throughput MALDI-TOF MS analysis. We further show that the strain-specific protein database from low coverage genomic sequence greatly outperforms the commonly used cross-species databases constructed from 13 completely sequenced Bacillus strains for protein spot identification via PMF.