Person:

Li, Yuan

Antigenic variation to evade host immunity has long been assumed to be a driving force of diversifying selection in pathogens. Colonization by Streptococcus pneumoniae, which is central to the organism's transmission and therefore evolution, is limited by two arms of the immune system: antibody- and T cell- mediated immunity. In particular, the effector activity of CD4+ TH17 cell mediated immunity has been shown to act in trans, clearing co-colonizing pneumococci that do not bear the relevant antigen. It is thus unclear whether TH17 cell immunity allows benefit of antigenic variation and contributes to diversifying selection. Here we show that antigen-specific CD4+ TH17 cell immunity almost equally reduces colonization by both an antigen-positive strain and a co-colonized, antigen-negative strain in a mouse model of pneumococcal carriage, thus potentially minimizing the advantage of escape from this type of immunity. Using a proteomic screening approach, we identified a list of candidate human CD4+ TH17 cell antigens. Using this list and a previously published list of pneumococcal Antibody antigens, we bioinformatically assessed the signals of diversifying selection among the identified antigens compared to non-antigens. We found that Antibody antigen genes were significantly more likely to be under diversifying selection than the TH17 cell antigen genes, which were indistinguishable from non-antigens. Within the Antibody antigens, epitopes recognized by human antibodies showed stronger evidence of diversifying selection. Taken together, the data suggest that TH17 cell-mediated immunity, one form of T cell immunity that is important to limit carriage of antigen-positive pneumococcus, favors little diversifying selection in the targeted antigen. The results could provide new insight into pneumococcal vaccine design.

Streptococcus pneumoniae (pneumococcus) is a significant pathogen that frequently colonizes the human nasopharynx. Environmental factors, including antimicrobial use and host immunity, exert selection on members of the nasopharyngeal population, and the dynamics of selection are influenced by the effective population size of the selected population, about which little is known. We measured here the variance effective population size (N(e)) of pneumococcus in a mouse colonization model by monitoring the frequency change of two cocolonizing, competitively neutral pneumococcal strains over time. The point estimate of N(e) during nasal carriage in 16 BALB/c mice was 133 (95% confidence interval [CI] = 11 to 203). In contrast, the lower-bound census population exhibited a mean of 5768 (95% CI = 2,515 to 9,021). Therefore, pneumococcal N(e) during nasal carriage is substantially smaller than the census population. The N(e) during day 1 to day 4 of colonization was comparable to the Ne during day 4 to day 8. Similarly, a low Ne was also evident for the colonization of pneumococcus in BALB/c mice exposed to cholera toxin 4 weeks prior to challenge and in another mouse strain (DO11.10 RAG(-/-)). We developed a mathematical model of pneumococcal colonization composed of two subpopulations with differential contribution to future generations. By stochastic simulation, this model can reproduce the pattern of observed pneumococcal N(e) and predicts that the selection coefficients may be difficult to measure in vivo. We hypothesized that such a small N(e) may reduce the effectiveness of within host selection for pneumococcus.