Within-host competition between barley yellow dwarf-PAV and -PAS.

The PAV and PAS species of barley yellow dwarf virus (Luteoviridae) share hosts, vectors, and have sympatric distributions. To better understand how competition between species influences virus growth within the host, transmission rate between hosts, and ultimately virus population structure two experiments were conducted. The first experiment varied the order of PAV and PAS inoculation and the time interval between the first and second inoculation. Relative virus concentration was measured at 8, 20, 33, and 45 days after primary virus inoculation (dpi). Regardless of the order of inoculation or the length of time between inoculations, PAV dominated the virus population by 33 dpi (PAV concentration ranged from 55% to 89%). The second experiment measured the rate of vector transmission from single and multiple infections. From single infections, the transmission rate was 67% for PAV and 60% for PAS. PAV had significantly greater odds of transmission for all competition treatments-except if PAS was given a 15-day head start before inoculation with PAV. In the latter treatment, PAS was transmitted with a greater frequency than PAV, but the difference was not statistically significant. Our data show persistent co-infection between PAV and PAS, but PAV is more likely to be transmitted from mixed infections. Thus, within-host interactions between PAV and PAS create conditions that promote both the competitive exclusion of PAS, as well as co-existence between species and the maintenance of genetic diversity in the host community.

Whole-genome association study on tissue tropism phenotypes in group A Streptococcus.

Group A Streptococcus (GAS) has a rich evolutionary history of horizontal transfer among its core genes. Yet, despite extensive genetic mixing, GAS strains have discrete ecological phenotypes. To further our understanding of the molecular basis for ecological phenotypes, comparative genomic hybridization of a set of 97 diverse strains to a GAS pangenome microarray was undertaken, and the association of accessory genes with emm genotypes that define tissue tropisms for infection was determined. Of the 22 nonprophage accessory gene regions (AGRs) identified, only 3 account for all statistically significant linkage disequilibrium among strains having the genotypic biomarkers for throat versus skin infection specialists. Networked evolution and population structure analyses of loci representing each of the AGRs reveal that most strains with the skin specialist and generalist biomarkers form discrete clusters, whereas strains with the throat specialist biomarker are highly diverse. To identify coinherited and coselected accessory genes, the strength of genetic associations was determined for all possible pairwise combinations of accessory genes among the 97 GAS strains. Accessory genes showing very strong associations provide the basis for an evolutionary model, which reveals that a major transition between many throat and skin specialist haplotypes correlates with the gain or loss of genes encoding fibronectin-binding proteins. This study employs a novel synthesis of tools to help delineate the major genetic changes associated with key adaptive shifts in an extensively recombined bacterial species.

Population genetics of Streptococcus dysgalactiae subspecies equisimilis reveals widely dispersed clones and extensive recombination.

BACKGROUND: Streptococcus dysgalactiae subspecies equisimilis (SDSE) is an emerging global pathogen that can colonize and infect humans. Although most SDSE isolates possess the Lancefield group G carbohydrate, a significant minority have the group C carbohydrate. Isolates are further sub-typed on the basis of differences within the emm gene. To gain a better understanding of their molecular epidemiology and evolutionary relationships, multilocus sequence typing (MLST) analysis was performed on SDSE isolates collected from Australia, Europe and North America. METHODOLOGY/PRINCIPAL FINDINGS: The 178 SDSE isolates, representing 37 emm types, segregate into 80 distinct sequence types (STs) that form 17 clonal complexes (CCs). Eight STs recovered from all three continents account for >50% of the isolates. Thus, a small number of STs are highly prevalent and have a wide geographic distribution. Both ST and CC strongly correlate with group carbohydrate. In contrast, eleven STs were associated with >1 emm type, suggestive of recombinational replacements involving the emm gene; furthermore, 35% of the emm types are associated with genetically distant STs. Data also reveal a history of extensive inter- and intra-species recombination involving the housekeeping genes used for MLST. Sequence analysis of single locus variants identified through goeBURST indicates that genetic change mediated by recombination occurred approximately 4.4 times more frequently than by point mutation. CONCLUSIONS/SIGNIFICANCE: A few genetic lineages with an intercontinental distribution dominate among SDSE causing infections in humans. The distinction between group C and G isolates reflects recent evolution, and no long-term genetic isolation between them was found. Lateral gene transfer and recombination involving housekeeping genes and the emm gene are important mechanisms driving genetic variability in the SDSE population.

Relative quantitation of virus population size in mixed genotype infections using sequencing chromatograms.

In order to quantitatively distinguish between highly similar RNA sequences, specific primers or probes must be designed. Unfortunately, consistent and reliable results are not always obtained with conventional techniques. This study uses reverse transcription-PCR coupled with direct terminator sequencing to economically and efficiently distinguish between sequence types in pooled samples while providing accurate relative quantification. As an example, the method is applied to measure template concentration of two Barley yellow dwarf virus (BYDV; family Luteoviridae) species in doubly infected wheat plants. A PERL script (polySNP) was developed that uses PHRED to automatically extract relative peak areas and heights from sequencing chromatograms at polymorphic sites. Peak measurements from experimental samples were compared to a standard curve generated by mixing in vitro transcribed RNA from BYDV-PAV and PAS templates in several ratios (ranging from 1:9 to 9:1 PAV:PAS) prior to RT-PCR amplification and sequencing. The relative amount of RNA template added to a sample was regressed onto the proportion of the chromatogram peak height or area corresponding to one virus species. The function of the best fit line was used to calculate template frequency in the experimental samples.