SUMMARY
One of the most salient features of Bacillus subtilis and related bacilli is their natural capacity to secrete a variety of proteins into their environment, frequently to high concentrations. This has led to the commercial exploitation of bacilli as major “cell factories” for secreted enzymes. The recent sequencing of the genome of B. subtilis has provided major new impulse for analysis of the molecular mechanisms underlying protein secretion by this organism. Most importantly, the genome sequence has allowed predictions about the composition of the secretome, which includes both the pathways for protein transport and the secreted proteins. The present survey of the secretome describes four distinct pathways for protein export from the cytoplasm and approximately 300 proteins with the potential to be exported. By far the largest number of exported proteins are predicted to follow the major “Sec” pathway for protein secretion. In contrast, the twin-arginine translocation “Tat” pathway, a type IV prepilin-like export pathway for competence development, and ATP-binding cassette transporters can be regarded as “special-purpose” pathways, through which only a few proteins are transported. The properties of distinct classes of amino-terminal signal peptides, directing proteins into the various protein transport pathways, as well as the major components of each pathway are discussed. The predictions and comparisons in this review pinpoint important differences as well as similarities between protein transport systems in B. subtilis and other well-studied organisms, such as Escherichia coli and the yeast Saccharomyces cerevisiae. Thus, they may serve as a lead for future research and applications.
SUMMARY
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 ∼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∼
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.
Multiple factors drive the progression from healthy mucosa towards sporadic
colorectal carcinomas and accumulating evidence associates intestinal bacteria
with disease initiation and progression. Therefore, the aim of this study was to
provide a first high-resolution map of colonic dysbiosis that is associated with
human colorectal cancer (CRC). To this purpose, the microbiomes colonizing colon
tumor tissue and adjacent non-malignant mucosa were compared by deep rRNA
sequencing. The results revealed striking differences in microbial colonization
patterns between these two sites. Although inter-individual colonization in CRC
patients was variable, tumors consistently formed a niche for
Coriobacteria and other proposed probiotic bacterial
species, while potentially pathogenic Enterobacteria were
underrepresented in tumor tissue. As the intestinal microbiota is generally
stable during adult life, these findings suggest that CRC-associated
physiological and metabolic changes recruit tumor-foraging commensal-like
bacteria. These microbes thus have an apparent competitive advantage in the
tumor microenvironment and thereby seem to replace pathogenic bacteria that may
be implicated in CRC etiology. This first glimpse of the CRC microbiome provides
an important step towards full understanding of the dynamic interplay between
intestinal microbial ecology and sporadic CRC, which may provide important leads
towards novel microbiome-related diagnostic tools and therapeutic
interventions.
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