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Bacterial genomes evolve through mutations, rearrangements or horizontal gene transfer. Besides the core genes encoding essential metabolic functions, bacterial genomes also harbour a number of accessory genes acquired by horizontal gene transfer that might be beneficial under certain environmental conditions. The horizontal gene transfer contributes to the diversification and adaptation of microorganisms, thus having an impact on the genome plasticity. A significant part of the horizontal gene transfer is or has been facilitated by genomic islands (GEIs). GEIs are discrete DNA segments, some of which are mobile and others which are not, or are no longer mobile, which differ among closely related strains. A number of GEIs are capable of integration into the chromosome of the host, excision, and transfer to a new host by transformation, conjugation or transduction. GEIs play a crucial role in the evolution of a broad spectrum of bacteria as they are involved in the dissemination of variable genes, including antibiotic resistance and virulence genes leading to generation of hospital ‘superbugs’, as well as catabolic genes leading to formation of new metabolic pathways. Depending on the composition of gene modules, the same type of GEIs can promote survival of pathogenic as well as environmental bacteria. [ABSTRACT FROM AUTHOR]

Background. A defined geographical area (Oxford, United Kingdom) was investigated for the role of group B Streptococcus (GBS) as a human pathogen. Methods. GBS carriage in pregnant women and invasive disease in neonates and adults >60 years of age was studied over a 3-year period. Multilocus sequence typing and capsular serotyping were used to study 369 isolates of GBS from carriage in pregnant women ( ) and invasive disease in neonates (n = 109) and adults >60 years of age (n = 70). Results. A total of 20.3% of pregnant women carried GBS. Invasive GBS disease occurred at a rate of 0.9 cases per 1000 live births and 11 cases per 100,000 population >60 years of age per annum. Four sequence types (STs) (ST-17, ST-19, ST-23, and ST-1) that were identified with use of multilocus sequence typing accounted for >50% of carried and invasive strains. A single sequence type (ST-17), previously shown to be phylogenetically of bovine origin, was significantly associated with increased invasiveness in neonates (P = .00002), and this was independent of capsular serotype III. In contrast, among adults >60 years of age, no STs exhibited increased invasiveness, compared with STs carried in pregnant women. Conclusions. Enhanced invasiveness associated with ST-17 is specific to neonates and is independent of capsular serotype. [ABSTRACT FROM AUTHOR]

There has been considerable recent interest in understanding the way in which recombination rates vary over small physical distances, and the extent of recombination hotspots, in various genomes. Here we adapt, apply, and assess the power of recently developed coalescent-based approaches to estimating recombination rates from sequence polymorphism data. We apply full-likelihood estimation to study rate variation in and around a well-characterized recombination hotspot in humans, in the β-globin gene cluster, and show that it provides similar estimates, consistent with those from sperm studies, from two populations deliberately chosen to have different demographic and selectional histories. We also demonstrate how approximate-likelihood methods can be used to detect local recombination hotspots from genomic-scale SNP data. In a simulation study based on 80 100-kb regions, these methods detect 43 out of 60 hotspots (ranging from 1 to 2 kb in size), with only two false positives out of 2000 subregions that were tested for the presence of a hotspot. Our study suggests that new computational tools for sophisticated analysis of population diversity data are valuable for hotspot detection and fine-scale mapping of local recombination rates. [ABSTRACT FROM AUTHOR]

DNA sequence polymorphism and divergence was examined in the vicinity of the human β-globin gene cluster origin of replication initiation region (IR), a 1.3-kb genomic region located immediately 5′ of the adult-expressed β-globin gene. DNA sequence variation in the replication origin IR and 5 kb of flanking DNA was surveyed in samples drawn from two populations, one African (from the Gambia, West Africa) and the other European (from Oxford, England). In these samples, levels of nucleotide and length polymorphism in the IR were found to be more than two times as high as adjacent non-IR-associated regions (estimates of per-nucleotide heterozygosity were 0.30% and 0.12%, respectively). Most polymorphic positions identified in the origin IR fall within or just adjacent to a 52-bp alternating purine-pyrimidine ((RY)n) sequence repeat. Within- and between-population divergence is highest in this portion of the IR, and interspecific divergence in the same region, determined by comparison with an orthologous sequence from the chimpanzee, is also pronounced. Higher levels of diversity in this subregion are not, however, primarily attributable to slippage-mediated repeat unit changes, as nucleotide substitution contributes disproportionately to allelic heterogeneity. An estimate of helical stability in the sequenced region suggests that the hypervariable (RY)n constitutes the major DNA unwinding element (DUE) of the replication origin IR, the location at which the DNA duplex first unwinds and new strand synthesis begins. These findings suggest that the β-globin IR experiences a higher underlying rate of neutral mutation than do adjacent genomic regions and that enzyme fidelity associated with the initiation of DNA replication at this origin may be compromised. The significance of these findings for our understanding of eukaryotic replication origin biology is discussed. [ABSTRACT FROM PUBLISHER]

Presents a computer simulation study of variable numbers of tandem repeat (VNTR) population genetics. Effect of the constrained recombination on the infinite alleles; Allelic diversity in VNTRs in the human genome; VNTRA polymorphism representation by the alleles model.