The influence of the accessory genome on bacterial pathogen evolution

Bacterial pathogens exhibit significant variation in their genomic content of virulence factors. This reflects the abundance of strategies pathogens evolved to infect host organisms by suppressing host immunity. Molecular arms-races have been a strong driving force for the evolution of pathogenicity, with pathogens often encoding overlapping or redundant functions, such as type III protein secretion effectors and hosts encoding ever more sophisticated immune systems. The pathogens’ frequent exposure to other microbes, either in their host or in the environment, provides opportunities for the acquisition or interchange of mobile genetic elements. These DNA elements accessorise the core genome and can play major roles in shaping genome structure and altering the complement of virulence factors. Here, we review the different mobile genetic elements focusing on the more recent discoveries and highlighting their role in shaping bacterial pathogen evolution

Comparative and Joint Analysis of Two Metagenomic Datasets from a Biogas Fermenter Obtained by 454-Pyrosequencing

Biogas production from renewable resources is attracting increased attention as an alternative energy source due to the limited availability of traditional fossil fuels. Many countries are promoting the use of alternative energy sources for sustainable energy production. In this study, a metagenome from a production-scale biogas fermenter was analysed employing Roche's GS FLX Titanium technology and compared to a previous dataset obtained from the same community DNA sample that was sequenced on the GS FLX platform. Taxonomic profiling based on 16S rRNA-specific sequences and an Environmental Gene Tag (EGT) analysis employing CARMA demonstrated that both approaches benefit from the longer read lengths obtained on the Titanium platform. Results confirmed Clostridia as the most prevalent taxonomic class, whereas species of the order Methanomicrobiales are dominant among methanogenic Archaea. However, the analyses also identified additional taxa that were missed by the previous study, including members of the genera Streptococcus, Acetivibrio, Garciella, Tissierella, and Gelria, which might also play a role in the fermentation process leading to the formation of methane. Taking advantage of the CARMA feature to correlate taxonomic information of sequences with their assigned functions, it appeared that Firmicutes, followed by Bacteroidetes and Proteobacteria, dominate within the functional context of polysaccharide degradation whereas Methanomicrobiales represent the most abundant taxonomic group responsible for methane production. Clostridia is the most important class involved in the reductive CoA pathway (Wood-Ljungdahl pathway) that is characteristic for acetogenesis. Based on binning of 16S rRNA-specific sequences allocated to the dominant genus Methanoculleus, it could be shown that this genus is represented by several different species. Phylogenetic analysis of these sequences placed them in close proximity to the hydrogenotrophic methanogen Methanoculleus bourgensis. While rarefaction analyses still indicate incomplete coverage, examination of the GS FLX Titanium dataset resulted in the identification of additional genera and functional elements, providing a far more complete coverage of the community involved in anaerobic fermentative pathways leading to methane formation

Cloning and sequence analysis of genes for dehalogenation of 4-chlorobenzoate from Arthrobacter sp. strain SU.

Strains of Arthrobacter catalyze a hydrolytic dehalogenation of 4-chlorobenzoate (4-CBA) to p-hydroxybenzoate. The reaction requires ATP and coenzyme A (CoA), indicating activation of the substrate via a thioester, like that reported for Pseudomonas sp. strain CBS3 (J. D. Scholten, K.-H. Chang, P. C. Babbit, H. Charest, M. Sylvestre, and D. Dunaway-Mariano, Science 253:182-185, 1991). The dehalogenase genes of Arthrobacter sp. strain SU were cloned and expressed in Escherichia coli. Analyses of deletions indicate that dehalogenation depends on three open reading frames (ORFs) which are organized in an operon. There is extensive sequence homology to corresponding gene products in Pseudomonas sp. strain CBS3, suggesting that ORF1 and ORF2 encode a 4-CBA-CoA-ligase and a 4-CBA-CoA dehalogenase, respectively. ORF3 possibly represents a thioesterase, although no homology to the enzyme from Pseudomonas sp. strain CBS3 exists

Characterization of Clavibacter michiganensis subsp. michiganensis strains from recent outbreaks of bacterial wilt and canker in Serbia

Milijasevic-Marcic S, Gartemann K-H, Frohwitter J, et al. Characterization of Clavibacter michiganensis subsp. michiganensis strains from recent outbreaks of bacterial wilt and canker in Serbia. European Journal Of Plant Pathology. 2012;134(4):697-711.Sixty-eight Clavibacter michiganensis subsp. michiganensis (Cmm) strains from recent outbreaks of bacterial wilt and canker in Serbia were collected from several tomato growing regions during a three-year period. The pathogen was identified based on bacteriological characteristics and pathogenicity tests and the identity of strains was confirmed by DAS ELISA and PCR amplification using primers CMM5/6 and PSA4/R. The strains showed homogeneity in biochemical and physiological properties. However, pathogenicity tests revealed differences in virulence that are presumably due to a loss of the pat-1 gene. Further strain characterization using DNA-based methods revealed a high diversity of the Serbian Cmm strains. Based on multi-locus sequence typing (MLST) analyses of five genes, Cmm strains were divided into seven groups. The pulsed-field gel electrophoresis (PFGE) pattern of a selection of strains supported the groupings based on trees of the kdpA/sdhA sequences. On the other hand, groupings made according to PFGE and MLST were not correlated to plasmid content in all cases. This study suggested that high genetic variability of the Serbian Cmm strains was detected both in MLST and PFGE analyses, and could have resulted either from new Cmm strains being introduced by seeds from different origins or as a consequence of an intraspecific hybridization process. In addition, this study proposed MLST as an efficient tool in epidemiological studies, population biology investigations and tracking the routes of transmission of pathogens. Four of the five house-keeping genes (kdpA, sdhA, ligA and gyrB) selected to characterize Cmm strains proved to be suitable for the MLST analysis. This is the first study carried out on the characterization of Cmm using MLST

Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale

sequence analysis; Lawrence Livermore National Laboratory for the flow-sorted Y cosmid library; an