Neisseria meningitidis is a leading cause of infectious childhood mortality worldwide. Most research efforts have hitherto focused on disease isolates belonging to only a few hypervirulent clonal lineages. However, up to 10% of the healthy human population is temporarily colonized by genetically diverse strains mostly with little or no pathogenic potential. Currently, little is known about the biology of carriage strains and their evolutionary relationship with disease isolates. The expression of a polysaccharide capsule is the only trait that has been convincingly linked to the pathogenic potential of N. meningitidis. To gain insight into the evolution of virulence traits in this species, whole-genome sequences of three meningococcal carriage isolates were obtained. Gene content comparisons with the available genome sequences from three disease isolates indicate that there is no core pathogenome in N. meningitidis. A comparison of the chromosome structure suggests that a filamentous prophage has mediated large chromosomal rearrangements and the translocation of some candidate virulence genes. Interspecific comparison of the available Neisseria genome sequences and dot blot hybridizations further indicate that the insertion sequence IS1655 is restricted only to N. meningitidis; its low sequence diversity is an indicator of an evolutionarily recent population bottleneck. A genome-based phylogenetic reconstruction provides evidence that N. meningitidis has emerged as an unencapsulated human commensal from a common ancestor with Neisseria gonorrhoeae and Neisseria lactamica and consecutively acquired the genes responsible for capsule synthesis via horizontal gene transfer.comparative genomics ͉ genome evolution ͉ bacterial capsule ͉ neisserial prophage ͉ IS1655

Neisseria meningitidis serogroup B strains are responsible for most meningococcal cases in the industrialized countries, and strains belonging to the clonal complex ST-41/44 are among the most prevalent serogroup B strains in carriage and disease. Here, we report the first genome and transcriptome comparison of a serogroup B carriage strain from the clonal complex ST-41/44 to the serogroup B disease strain MC58 from the clonal complex ST-32. Both genomes are highly colinear, with only three major genome rearrangements that are associated with the integration of mobile genetic elements. They further differ in about 10% of their gene content, with the highest variability in gene presence as well as gene sequence found for proteins involved in host cell interactions, including Opc, NadA, TonB-dependent receptors, RTX toxin, and two-partner secretion system proteins. Whereas housekeeping genes coding for metabolic functions were highly conserved, there were considerable differences in their expression pattern upon adhesion to human nasopharyngeal cells between both strains, including differences in energy metabolism and stress response. In line with these genomic and transcriptomic differences, both strains also showed marked differences in their in vitro infectivity and in serum resistance. Taken together, these data support the concept of a polygenic nature of meningococcal virulence comprising differences in the repertoire of adhesins as well as in the regulation of metabolic genes and suggest a prominent role for immune selection and genetic drift in shaping the meningococcal genome.

DNA microarray technology has already revolutionized basic research in infectious diseases, and wholegenome sequencing efforts have allowed for the fabrication of tailor-made spotted microarrays for an increasing number of bacterial pathogens. However, the application of microarrays in diagnostic microbiology is currently hampered by the high costs associated with microarray experiments and the specialized equipment needed. Here, we show that a thorough bioinformatic postprocessing of the microarray design to reduce the amount of unspecific noise also allows the reliable use of spotted gene expression microarrays for gene content analyses. We further demonstrate that the use of only single-color labeling to halve the costs for dye-labeled nucleotides results in only a moderate decrease in overall specificity and sensitivity. Therefore, gene expression microarrays using only single-color labeling can also reliably be used for gene content analyses, thus reducing the costs for potential routine applications such as genome-based pathogen detection or strain typing.In recent years, molecular applications in the diagnosis of infectious diseases have become commonplace in academic medical centers and tertiary-care facilities and are becoming also more tangible in community-based settings. However, to be implemented in clinical microbiology laboratories with ease and accuracy, the further advancement of molecular infectious disease diagnostics is dependent on the ability of multiplexing technologies or the ability to detect and identify more than one pathogen simultaneously from the same specimen (18).One approach to multiplex detection and characterization is microarray analysis which, since its first description in the 1990s, has already revolutionized basic research in infectious diseases (reviewed in references 7 and 18). Accordingly, microbial diagnostic microarrays (MDMs) have also been used in a number of research applications in clinical microbiology (18). For example, an oligonucleotide microarray targeting the 16S rRNA gene was recently developed for the detection of a panel of 40 predominant human intestinal bacterial pathogens in human fecal samples (35), and assays using broad-range PCR along with microarrays have been shown to allow rapid bacterial detection and identification with positive blood culture (2). Another promising application of microarray techniques in clinical microbiology is the determination of antimicrobial resistance by simultaneously detecting a panel of drug resistancerelated mutations in microbial genomes, and oligonucleotide microarrays were developed to analyze and identify drug-resistant Mycobacterium tuberculosis strains with results that were comparable to those of standard antimicrobial susceptibility testing but obtained in less than 24 h (12, 17). Likewise, an oligonucleotide microarray outperforming the standard procedures in terms of assay time and the depth of information provided was designed for the rapid identification of extendedspectrum beta-lactamases in Gram-negativ...

As in many other areas of basic and applied biology, research in infectious diseases has been revolutionized by two recent developments in the field of genome biology: first, the sequencing of the human genome as well as that of many pathogen genomes; and second, the development of high-throughput technologies such as microarray technology, proteomics, and metabolomics. Microarray studies enable a deeper understanding of genetic evolution of pathogens and investigation of determinants of pathogenicity on a whole-genome scale. Host studies in turn permit an unprecedented holistic appreciation of the complexities of the host cell responses at the molecular level. In combination, host-pathogen studies allow global analysis of gene expression in the infecting bacterium as well as in the infected host cell during pathogenesis providing a comprehensive picture of the intricacies of pathogen-host interactions. This chapter briefly explains the principles underlying DNA microarrays including major points to consider when planning and analyzing microarray experiments and highlights in detail their practical application using the interaction of Neisseria meningitidis with endothelial cells as an example.