From the genome sequence to the protein inventory of Bacillus subtilis

Owing to the low number of proteins necessary to render a bacterial cell viable, bacteria are extremely attractive model systems to understand how the genome sequence is translated into actual life processes. One of the most intensively investigated model organisms is Bacillus subtilis. It has attracted world-wide research interest, addressing cell differentiation and adaptation on a molecular scale as well as biotechnological production processes. Meanwhile, we are looking back on more than 25 years of B. subtilis proteomics. A wide range of methods have been developed during this period for the large-scale qualitative and quantitative proteome analysis. Currently, it is possible to identify and quantify more than 50% of the predicted proteome in different cellular subfractions. In this review, we summarize the development of B. subtilis proteomics during the past 25 years.     

Stabilization of cell wall proteins in Bacillus subtilis: a proteomic approach

Even though cell wall proteins of Bacillus subtilis are characterized by specific cell wall retention signals, some of these are also components of the extracellular proteome. In contrast to the majority of extracellular proteins, wall binding proteins disappeared from the extracellular proteome during the stationary phase and are subjected to proteolysis. Thus, the extracellular proteome of the multiple protease-deficient strain WB700 was analyzed which showed an increased stability of secreted WapA processing products during the stationary phase. In addition, stabilization of the WapA processing products was observed also in a sigD mutant strain which is impaired in motility and cell wall turnover. Next, we analyzed if proteins that can be extracted from B. subtilis cell walls are stabilized in the WB700 strain as well as in the sigD mutant. Thus, the cell wall proteome of B. subtilis wild type was defined showing most abundantly cell wall binding proteins (CWBPs) resulting from the WapA and WprA precursor processing. The inactivation of extracellular proteases as well as SigmaD caused an increase of CWBP105 and a decrease of CWBP62 in the cell wall proteome. We conclude that WapA processing products are substrates for the extracellular proteases which are stabilized in the absence of sigD due to an impaired cell wall turnover.     

Selective contribution of the twin-arginine translocation pathway to protein secretion in Bacillus subtilis

The availability of the complete genome sequence of Bacillus subtilis has allowed the prediction of all exported proteins of this Gram-positive eubacterium. Recently, approximately 180 secretory and 114 lipoprotein signal peptides were predicted to direct protein export from the cytoplasm. Whereas most exported proteins appear to use the Sec pathway, 69 of these proteins could potentially use the Tat pathway, as their signal peptides contain RR- or KR-motifs. In the present studies, proteomic techniques were applied to verify how many extracellular B. subtilis proteins follow the Tat pathway. Strikingly, the extracellular accumulation of 13 proteins with potential RR/KR-signal peptides was Tat-independent, showing that their RR/KR-motifs are not recognized by the Tat machinery. In fact, only the phosphodiesterase PhoD was shown to be secreted in a strictly Tat-dependent manner. Sodium azide-inhibition of SecA strongly affected the extracellular appearance of de novo synthesized proteins, including the lipase LipA and two other proteins with predicted RR/KR-signal peptides. The SecA-dependent export of pre-LipA is particularly remarkable, because its RR-signal peptide conforms well to stringent criteria for the prediction of Tat-dependent export in Escherichia coli. Taken together, our observations show that the Tat pathway makes a highly selective contribution to the extracellular proteome of B. subtilis.     

Proteomics of protein secretion by Bacillus subtilis: separating the "secrets" of the secretome.

Secretory proteins perform a variety of important "remote-control" functions for bacterial survival in the environment. The availability of complete genome sequences has allowed us to make predictions about the composition of bacterial machinery for protein secretion as well as the extracellular complement of bacterial proteomes. Recently, the power of proteomics was successfully employed to evaluate genome-based models of these so-called secretomes. Progress in this field is well illustrated by the proteomic analysis of protein secretion by the gram-positive bacterium Bacillus subtilis, for which approximately 90 extracellular proteins were identified. Analysis of these proteins disclosed various "secrets of the secretome," such as the residence of cytoplasmic and predicted cell envelope proteins in the extracellular proteome. This showed that genome-based predictions reflect only approximately 50% of the actual composition of the extracellular proteome of B. subtilis. Importantly, proteomics allowed the first verification of the impact of individual secretion machinery components on the total flow of proteins from the cytoplasm to the extracellular environment. In conclusion, proteomics has yielded a variety of novel leads for the analysis of protein traffic in B. subtilis and other gram-positive bacteria. Ultimately, such leads will serve to increase our understanding of virulence factor biogenesis in gram-positive pathogens, which is likely to be of high medical relevance.     

Towards a comprehensive understanding of Bacillus subtilis cell physiology by physiological proteomics

Using Bacillus subtilis as a model system for functional genomics, this review will provide insights how proteomics can be used to bring the virtual life of genes to the real life of proteins. Physiological proteomics will generate a new and broad understanding of cellular physiology because the majority of proteins synthesized in the cell can be visualized. From a physiological point of view two major proteome fractions can be distinguished: proteomes of growing cells and proteomes of nongrowing cells. In the main analytical window almost 50% of the vegetative proteome expressed in growing cells of B. subtilis were identified. This proteomic view of growing cells can be employed for analyzing the regulation of entire metabolic pathways and thus opens the chance for a comprehensive understanding of metabolism and growth processes of bacteria. Proteomics, on the other hand, is also a useful tool for analyzing the adaptational network of nongrowing cells that consists of several partially overlapping regulation groups induced by stress/starvation stimuli. Furthermore, proteomic signatures for environmental stimuli can not only be applied to predict the physiological state of cells, but also offer various industrial applications from fermentation monitoring up to the analysis of the mode of action of drugs. Even if DNA array technologies currently provide a better overview of the gene expression profile than proteome approaches, the latter address biological problems in which they can not be replaced by mRNA profiling procedures. This proteomics of the second generation is a powerful tool for analyzing global control of protein stability, the protein interaction network, protein secretion or post-translational modifications of proteins on the way towards the elucidation of the mystery of life.     

Depletion of thiol-containing proteins in response to quinones in Bacillus subtilis

Quinones are highly toxic naturally occurring thiol-reactive compounds. We have previously described novel pathways for quinone detoxification in the Gram-positive bacterium Bacillus subtilis . In this study, we have investigated the extent of irreversible and reversible thiol modifications caused in vivo by electrophilic quinones. Exposure to toxic benzoquinone (BQ) concentrations leads to depletion of numerous Cys-rich cytoplasmic proteins in the proteome of B. subtilis . Mass spectrometry and immunoblot analyses demonstrated that these BQ-depleted proteins represent irreversibly damaged BQ aggregates that escape the two-dimensional gel separation. This enabled us to quantify the depletion of thiol-containing proteins which are the in vivo targets for thiol-(S)-alkylation by toxic quinone compounds. Metabolomic approaches confirmed that protein depletion is accompanied by depletion of the low-molecular-weight (LMW) thiol cysteine. Finally, no increased formation of disulphide bonds was detected in the thiol-redox proteome in response to sublethal quinone concentrations. The glyceraldehyde-3-phosphate dehydrogenase (GapA) was identified as the only new target for reversible thiol modifications after exposure to toxic quinones. Together our data show that the thiol-(S)-alkylation reaction with protein and non-protein thiols is the in vivo mechanism for thiol depletion and quinone toxicity in B. subtilis and most likely also in other bacteria.     

InterPro as a new tool for whole genome analysis. A comparative analysis of Mycobacterium tuberculosis, Bacillus subtilis and Escherichia coli as a case study

InterPro was developed as a new integrated documentation resource for protein families, domains and functional sites to rationalize the complementary efforts of the PROSITE, PRINTS, Pfam and ProDom database projects and has applications in computational functional classification of newly determined sequences lacking biochemical characterization and in comparative genome analysis. InterPro contains over 3500 entries, with more than 1000000 hits in SWISS-PROT and TrEMBL. The database is accessible for text- and sequence-based searches at http://www.ebi.ac.uk/interpro/. InterPro was used for whole proteome analysis of the pathogenic microorganism, Mycobacterium tuberculosis, and comparison with the predicted protein coding sequences of the complete genomes of Bacillus subtilis and Escherichia coli. 64.8% of the M. tuberculosis proteins in the proteome matched InterPro entries, and these could be classified according to function. The comparison with B. subtilis and E. coli provided information on the most common protein families and domains, and the most highly represented families in each organism. InterPro thus provides a useful tool for global views of whole proteomes and their compositions.     

枯草芽胞杆菌基因组删减对异源酶表达影响的研究进展

枯草芽胞杆菌作为一种遗传背景清晰、基因编辑成熟的革兰氏阳性菌,是多种重要工业酶的生产宿主。随着转录组、蛋白质组、代谢组等多组学测序和分析技术的发展,通过合理设计简化枯草芽胞杆菌基因组,减少细胞内冗余的调控和代谢网络,使得细胞更精简且便于控制,展现出了枯草芽胞杆菌作为异源酶表达宿主细胞的应用潜力。本文简要综述了枯草芽胞杆菌基因组删减的研究进展,归纳了必需基因的确定方法,重点介绍了枯草芽胞杆菌通过删减基因组提升异源酶表达的研究进展及删减策略,充分展示了枯草芽胞杆菌基因组删减在构建异源酶表达底盘细胞中的重要作用。     

枯草芽孢杆菌群β-甘露聚糖酶基因克隆及同源性分析

本文对33株枯草芽孢杆菌群菌株进行β-甘露聚糖酶活性筛选,其中的32株具有β-甘露聚糖酶活性,只有1株无β-甘露聚糖酶活性.通过基因克隆测序的方法获得33株枯草芽孢杆菌群菌株β-甘露聚糖酶基因编码区全序列,对酶基因进行同源性分析并构建系统发育树;在β-甘露聚糖酶基因系统发育树中,33株枯草芽孢杆菌群菌株聚为3个分支,分别是枯草芽孢杆菌分支、地衣芽孢杆菌分支和解淀粉芽孢杆菌分支;枯草芽孢杆菌、地衣芽孢杆菌和解淀粉芽孢杆菌β-甘露聚糖酶基因种内同源性大于91%,而种间同源性为60%69%.     

Gel-free and gel-based proteomics in Bacillus subtilis: a comparative study

The proteome of exponentially growing Bacillus subtilis cells was dissected by the implementation of shotgun proteomics and a semigel-based approach for a particular exploration of membrane proteins. The current number of 745 protein identifications that was gained by the use of two-dimensional gel electrophoresis could be increased by 473 additional proteins. Therefore, almost 50% of the 2500 genes expressed in growing B. subtilis cells have been demonstrated at the protein level. In terms of exploring cellular physiology and adaptation to environmental changes or stress, proteins showing an alteration in expression level are of primary interest. The large number of vegetative proteins identified by gel-based and gel-free approaches is a good starting point for comparative physiological investigations. For this reason a gel-free quantitation with the recently introduced iTRAQ (isobaric tagging for relative and absolute quantitation) reagent technique was performed to investigate the heat shock response in B. subtilis. A comparison with gel-based data showed that both techniques revealed a similar level of up-regulation for proteins belonging to well studied heat hock regulons (SigB, HrcA, and CtsR). However, additional datasets have been obtained by the gel-free approach indicating a strong heat sensitivity of specific enzymes involved in amino acid synthesis.     

Genes and their organization in the replication origin region of the bacterial chromosome

Genes and their organization are conserved in the replication origin region of the bacterial chromosome. To determine the extent of the conserved region in Gram-positive and Gram-negative bacteria, which diverged 1.2 billion years ago, we have further sequenced the region upstream from the dnaA genes in Bacillus subtilis and Pseudomonas putida. Fifteen open reading frames (ORFs) and 11 ORFs were identified in the 13.6 kb and the 9.8 kb fragments in B. subtilis and P. putida, respectively. Eight consecutive P. putida genes, except for one small ORF (homologous to gene 9K of Escherichia coli) in between, are homologous in sequence and relative locations to genes in B. subtilis. Altogether, 12 genes and their organization are conserved in B. subtilis and P. putida in the origin region. We found that the conserved region terminated on one side after the orf290 in P. putida (orf282 in B. subtilis). In the B. subtilis chromosome, five additional ORFs were found in between the conserved genes, suggesting that they are added after Gram-positive bacteria were diverged from the Gram-negative bacteria. One of the ORFs is a duplicate of the conserved gene. The third non-translatable region containing multiple repeats of DnaA-box (second in the case of P. putida) was found flanking gidA in both organisms. This result shows clearly that E. coli oriC and flanking genes gidA and gidB have been translocated by the inversion of some 40 kb fragment.