Dataset Information

Natural selection and evolution of streptococcal virulence genes involved in tissue-specific adaptations.

ABSTRACT: The molecular mechanisms underlying niche adaptation in bacteria are not fully understood. Primary infection by the pathogen group A streptococcus (GAS) takes place at either the throat or the skin of its human host, and GAS strains differ in tissue site preference. Many skin-tropic strains bind host plasminogen via the plasminogen-binding group A streptococcal M protein (PAM) present on the cell surface; inactivation of genes encoding either PAM or streptokinase (a plasminogen activator) leads to loss of virulence at the skin. Unlike PAM, which is present in only a subset of GAS strains, the gene encoding streptokinase (ska) is present in all GAS isolates. In this study, the evolution of the virulence genes known to be involved in skin infection was examined. Most genetic diversity within ska genes was localized to a region encoding the plasminogen-docking domain (beta-domain). The gene encoding PAM displayed strong linkage disequilibrium (P << 0.01) with a distinct phylogenetic cluster of the ska beta-domain-encoding region. Yet, ska alleles of distant taxa showed a history of intragenic recombination, and high intrinsic levels of recombination were found among GAS strains having different tissue tropisms. The data suggest that tissue-specific adaptations arise from epistatic coselection of bacterial virulence genes. Additional analysis of ska genes showed that approximately 4% of the codons underwent strong diversifying selection. Horizontal acquisition of one ska lineage from a commensal Streptococcus donor species was also evident. Together, the data suggest that new phenotypes can be acquired through interspecies recombination between orthologous genes, while constrained functions can be preserved; in this way, orthologous genes may provide a rich and ready source for new phenotypes and thereby play a facilitating role in the emergence of new niche adaptations in bacteria.

SUBMITTER: Kalia A

PROVIDER: S-EPMC303441 | biostudies-literature | 2004 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Natural selection and evolution of streptococcal virulence genes involved in tissue-specific adaptations.

Kalia Awdhesh A Bessen Debra E DE

Journal of bacteriology 20040101 1

The molecular mechanisms underlying niche adaptation in bacteria are not fully understood. Primary infection by the pathogen group A streptococcus (GAS) takes place at either the throat or the skin of its human host, and GAS strains differ in tissue site preference. Many skin-tropic strains bind host plasminogen via the plasminogen-binding group A streptococcal M protein (PAM) present on the cell surface; inactivation of genes encoding either PAM or streptokinase (a plasminogen activator) leads ...[more]

PMID: 14679231

Similar Datasets

Project description:BackgroundL. pneumophila is the main causative agent of Legionnaires' disease. Free-living amoeba in natural aquatic environments is the reservoir and shelter for L. pneumophila. From natural water sources, L. pneumophila can colonize artificial environments such as cooling towers and hot-water systems, and then spread in aerosols, infecting the susceptible person. Therefore, molecular phylogeny and genetic variability of L. pneumophila from different sources (natural water, artificial water, and human lung tissue) might be distinct because of the selection pressure in different environments. Several studies researched genetic differences between L. pneumophila clinical isolates and environmental isolates at the nucleotide sequence level. These reports mainly focused on the analysis of virulence genes, and rarely distinguished artificial and natural isolates.MethodsWe have used 139 L. pneumophila isolates to study their genetic variability and molecular phylogeny. These isolates include 51 artificial isolates, 59 natural isolates, and 29 clinical isolates. The nucleotide sequences of two representative non-virulence (NV) genes (trpA, cca) and three representative virulence genes (icmK, lspE, lssD) were obtained using PCR and DNA sequencing and were analyzed.ResultsLevels of genetic variability including haplotypes, haplotype diversity, nucleotide diversity, nucleotide difference and the total number of mutations in the virulence loci were higher in the natural isolates. In contrast, levels of genetic variability including polymorphic sites, theta from polymorphic sites and the total number of mutations in the NV loci were higher in clinical isolates. A phylogenetic analysis of each individual gene tree showed three to six main groups, but not comprising the same L. pneumophila isolates. We detected recombination events in every virulence loci of natural isolates, but only detected them in the cca locus of clinical isolates. Neutrality tests showed that variations in the virulence genes of clinical and environmental isolates were under neutral evolution. TrpA and cca loci of clinical isolates showed significantly negative values of Tajima's D, Fu and Li's D* and F*, suggesting the presence of negative selection in NV genes of clinical isolates.DiscussionOur findingsreinforced the point that the natural environments were the primary training place for L. pneumophila virulence, and intragenic recombination was an important strategy in the adaptive evolution of virulence gene. Our study also suggested the selection pressure had unevenly affected these genes and contributed to the different evolutionary patterns existed between NV genes and virulence genes. This work provides clues for future work on population-level and genetics-level questions about ecology and molecular evolution of L. pneumophila, as well as genetic differences of NV genes and virulence genes between this host-range pathogen with different lifestyles.

Dataset Information

Natural selection and evolution of streptococcal virulence genes involved in tissue-specific adaptations.

Publications

Natural selection and evolution of streptococcal virulence genes involved in tissue-specific adaptations.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets