Permanent draft genome sequence of the probiotic strain Propionibacterium freudenreichii CIRM-BIA 129 (ITG P20).

Propionibacterium freudenreichii belongs to the class Actinobacteria (Gram positive with a high GC content). This "Generally Recognized As Safe" (GRAS) species is traditionally used as (i) a starter for Swiss-type cheeses where it is responsible for holes and aroma production, (ii) a vitamin B12 and propionic acid producer in white biotechnologies, and (iii) a probiotic for use in humans and animals because of its bifidogenic and anti-inflammatory properties. Until now, only strain CIRM-BIA1T had been sequenced, annotated and become publicly available. Strain CIRM-BIA129 (commercially available as ITG P20) has considerable anti-inflammatory potential. Its gene content was compared to that of CIRM-BIA1 T. This strain contains 2384 genes including 1 ribosomal operon, 45 tRNA and 30 pseudogenes.

Mutations and genomic islands can explain the strain dependency of sugar utilization in 21 strains of Propionibacterium freudenreichii.

BACKGROUND: Propionibacterium freudenreichii (PF) is an actinobacterium used in cheese technology and for its probiotic properties. PF is also extremely adaptable to several ecological niches and can grow on a variety of carbon and nitrogen sources. The aim of this work was to discover the genetic basis for strain-dependent traits related to its ability to use specific carbon sources. High-throughput sequencing technologies were ideal for this purpose as they have the potential to decipher genomic diversity at a moderate cost. RESULTS: 21 strains of PF were sequenced and the genomes were assembled de novo. Scaffolds were ordered by comparison with the complete reference genome CIRM-BIA1, obtained previously using traditional Sanger sequencing. Automatic functional annotation and manual curation were performed. Each gene was attributed to either the core genome or an accessory genome. The ability of the 21 strains to degrade 50 different sugars was evaluated. Thirty-three sugars were degraded by none of the sequenced strains whereas eight sugars were degraded by all of them. The corresponding genes were present in the core genome. Lactose, melibiose and xylitol were only used by some strains. In this case, the presence/absence of genes responsible for carbon uptake and degradation correlated well with the phenotypes, with the exception of xylitol. Furthermore, the simultaneous presence of these genes was in line the metabolic pathways described previously in other species. We also considered the genetic origin (transduction, rearrangement) of the corresponding genomic islands. Ribose and gluconate were degraded to a greater or lesser extent (quantitative phenotype) by some strains. For these sugars, the phenotypes could not be explained by the presence/absence of a gene but correlated with the premature appearance of a stop codon interrupting protein synthesis and preventing the catabolism of corresponding carbon sources. CONCLUSION: These results illustrate (i) the power of correlation studies to discover the genetic basis of binary strain-dependent traits, and (ii) the plasticity of PF chromosomes, probably resulting from horizontal transfers, duplications, transpositions and an accumulation of mutations. Knowledge of the genetic basis of nitrogen and sugar degradation opens up new strategies for the screening of PF strain collections to enable optimum cheese starter, probiotic and white biotechnology applications.

Genome Sequence of Lactobacillus delbrueckii subsp. lactis CNRZ327, a Dairy Bacterium with Anti-Inflammatory Properties.

Lactobacillus delbrueckii subsp. lactis CNRZ327 is a dairy bacterium with anti-inflammatory properties both in vitro and in vivo. Here, we report the genome sequence of this bacterium, which appears to contain no less than 215 insertion sequence (IS) elements, an exceptionally high number regarding the small genome size of the strain.

Prediction of surface exposed proteins in Streptococcus pyogenes, with a potential application to other Gram-positive bacteria.

The in silico prediction of bacterial surface exposed proteins is of growing interest for the rational development of vaccines and in the study of bacteria-host relationships, whether pathogenic or host beneficial. This interest is driven by the increase in the use of DNA sequencing as a major tool in the early characterization of pathogenic bacteria and, more recently, even of complex ecosystems at the host-environment interface in metagenomics approaches. Current protein localization protocols are not suited to this prediction task as they ignore the potential surface exposition of many membrane-associated proteins. Therefore, we developed a new flow scheme, SurfG+, for the processing of protein sequence data with the particular aim of identification of potentially surface exposed (PSE) proteins from Gram-positive bacteria, which was validated for Streptococcus pyogenes. The results of an exploratory case study on closely related lactobacilli of the acidophilus group suggest that the yogurt bacterium Lactobacillus delbrueckii ssp. bulgaricus (L. bulgaricus) dedicates a relatively important fraction of its coding capacity to secreted proteins, while the probiotic gastrointestinal (GI) tract bacteria L. johnsonii and L. gasseri appear to encode a larger variety of PSE proteins, that may play a role in the interaction with the host.