Frequency-dependent selection can forecast evolution in Streptococcus pneumoniae.
Frequency-dependent selection can forecast evolution in Streptococcus pneumoniae.
复制标题
DOI:
10.1371/journal.pbio.3000878
复制
发表时间:
2020-10
期刊:
影响因子:
9.8
通讯作者:
Hanage WP
中科院分区:
文献类型:
--
作者:
Azarian T;Martinez PP;Arnold BJ;Qiu X;Grant LR;Corander J;Fraser C;Croucher NJ;Hammitt LL;Reid R;Santosham M;Weatherholtz RC;Bentley SD;O'Brien KL;Lipsitch M;Hanage WP
Predicting how pathogen populations will change over time is challenging. Such has been the case with Streptococcus pneumoniae, an important human pathogen, and the pneumococcal conjugate vaccines (PCVs), which target only a fraction of the strains in the population. Here, we use the frequencies of accessory genes to predict changes in the pneumococcal population after vaccination, hypothesizing that these frequencies reflect negative frequency-dependent selection (NFDS) on the gene products. We find that the standardized predicted fitness of a strain, estimated by an NFDS-based model at the time the vaccine is introduced, enables us to predict whether the strain increases or decreases in prevalence following vaccination. Further, we are able to forecast the equilibrium post-vaccine population composition and assess the invasion capacity of emerging lineages. Overall, we provide a method for predicting the impact of an intervention on pneumococcal populations with potential application to other bacterial pathogens in which NFDS is a driving force. Predicting how pathogen populations will change over time is challenging. This study predicts population changes in human pathogen Streptococcus pneumoniae after vaccination, using a model of negative frequency-dependent selection acting on accessory gene products.
登录
查看更多内容
影响因子:
9.4
作者:
Burton, Robert L.;Geno, K. Aaron;Nahm, Moon H.
通讯作者:
Nahm, Moon H.
影响因子:
6.4
作者:
Gray, Penelope;Palmroth, Johanna;Lehtinen, Matti
通讯作者:
Lehtinen, Matti
影响因子:
3.6
作者:
Grijalva CG;Pelton SI
通讯作者:
Pelton SI
影响因子:
56.9
作者:
Cobey, Sarah;Lipsitch, Marc
通讯作者:
Lipsitch, Marc
DOI:
10.1016/j.diagmicrobio.2014.11.006
发表时间:
2015-02-01
影响因子:
2.9
作者:
Ho, Pak-Leung;Chiu, Susan S.;Chow, Kin-Hung
通讯作者:
Chow, Kin-Hung