RESUMO
spolTools is a collection of online programs designed to manipulate and analyze spoligotype datasets of the Mycobacterium tuberculosis complex. These tools are integrated into a repository currently containing 1179 spoligotypes and 6278 isolates across 30 datasets. Users can search this database to export for external use or to pass on to the integrated tools. These tools include the computation of basic population genetic quantities, the visualization of clusters of spoligotype patterns based on an estimated evolutionary history and a procedure to predict emerging strains - genotypes associated with elevated transmission.
Assuntos
Biologia Computacional/métodos , Mycobacterium tuberculosis/classificação , Software , Tuberculose Pulmonar/epidemiologia , Animais , Humanos , Internet , Epidemiologia Molecular , Mycobacterium tuberculosis/genética , Tuberculose Pulmonar/microbiologiaRESUMO
Shigella flexneri, which causes shigellosis in humans, evolved from Escherichia coli. The sequencing of Shigella genomes has revealed that a large number of insertion sequence (IS) elements (over 200 elements) reside in the genome. Although the presence of these elements has been noted previously and summarized, more detailed analyses are required to understand their evolutionary significance. Here, the genome of S. flexneri strain 2457T is used to investigate the spatial distribution of IS copies around the chromosome and the location of elements with respect to genes. It is found that most IS isoforms occur essentially randomly around the genome. Two exceptions are IS91 and IS911, which appear to cluster due to local hopping. The location of IS elements with respect to genes is biased, however, revealing the action of natural selection. The non-coding regions of the genome (no more than 21%) carry disproportionally more IS elements (at least 28%) than the coding regions, implying that selection acts against insertion into genes. Of the genes disrupted by ISs, those involved in signal transduction, intracellular trafficking, and cell motility are most commonly targeted, suggesting selection against genes in these categories.
