@article{BijuSchwarzLinkeetal.2011, author = {Biju, Joseph and Schwarz, Roland and Linke, Burkhard and Blom, Jochen and Becker, Anke and Claus, Heike and Goesmann, Alexander and Frosch, Matthias and M{\"u}ller, Tobias and Vogel, Ulrich and Schoen, Christoph}, title = {Virulence Evolution of the Human Pathogen Neisseria meningitidis by Recombination in the Core and Accessory Genome}, series = {PLoS One}, volume = {6}, journal = {PLoS One}, number = {4}, doi = {10.1371/journal.pone.0018441}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-137960}, pages = {e18441}, year = {2011}, abstract = {Background Neisseria meningitidis is a naturally transformable, facultative pathogen colonizing the human nasopharynx. Here, we analyze on a genome-wide level the impact of recombination on gene-complement diversity and virulence evolution in N. meningitidis. We combined comparative genome hybridization using microarrays (mCGH) and multilocus sequence typing (MLST) of 29 meningococcal isolates with computational comparison of a subset of seven meningococcal genome sequences. Principal Findings We found that lateral gene transfer of minimal mobile elements as well as prophages are major forces shaping meningococcal population structure. Extensive gene content comparison revealed novel associations of virulence with genetic elements besides the recently discovered meningococcal disease associated (MDA) island. In particular, we identified an association of virulence with a recently described canonical genomic island termed IHT-E and a differential distribution of genes encoding RTX toxin- and two-partner secretion systems among hyperinvasive and non-hyperinvasive lineages. By computationally screening also the core genome for signs of recombination, we provided evidence that about 40\% of the meningococcal core genes are affected by recombination primarily within metabolic genes as well as genes involved in DNA replication and repair. By comparison with the results of previous mCGH studies, our data indicated that genetic structuring as revealed by mCGH is stable over time and highly similar for isolates from different geographic origins. Conclusions Recombination comprising lateral transfer of entire genes as well as homologous intragenic recombination has a profound impact on meningococcal population structure and genome composition. Our data support the hypothesis that meningococcal virulence is polygenic in nature and that differences in metabolism might contribute to virulence.}, language = {en} } @article{KoetschanFoersterKelleretal.2010, author = {Koetschan, Christian and Foerster, Frank and Keller, Alexander and Schleicher, Tina and Ruderisch, Benjamin and Schwarz, Roland and Mueller, Tobias and Wolf, Matthias and Schultz, Joerg}, title = {The ITS2 Database III-sequences and structures for phylogeny}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-68390}, year = {2010}, abstract = {The internal transcribed spacer 2 (ITS2) is a widely used phylogenetic marker. In the past, it has mainly been used for species level classifications. Nowadays, a wider applicability becomes apparent. Here, the conserved structure of the RNA molecule plays a vital role. We have developed the ITS2 Database (http://its2.bioapps .biozentrum.uni-wuerzburg.de) which holds information about sequence, structure and taxonomic classification of all ITS2 in GenBank. In the new version, we use Hidden Markov models (HMMs) for the identification and delineation of the ITS2 resulting in a major redesign of the annotation pipeline. This allowed the identification of more than 160 000 correct full ength and more than 50 000 partial structures. In the web interface, these can now be searched with a modified BLAST considering both sequence and structure, enabling rapid taxon sampling. Novel sequences can be annotated using the HMM based approach and modelled according to multiple template structures. Sequences can be searched for known and newly identified motifs. Together, the database and the web server build an exhaustive resource for ITS2 based phylogenetic analyses.}, subject = {Biologie}, language = {en} }