Parasites and microbes, Wellcome Sanger Institute, Hinxton, UK.
Parasites and microbes, Wellcome Sanger Institute, Hinxton, UK.
EBioMedicine. 2019 May;43:338-346. doi: 10.1016/j.ebiom.2019.04.021. Epub 2019 Apr 16.
Pneumococcal conjugate vaccines have reduced the incidence of invasive pneumococcal disease, caused by vaccine serotypes, but non-vaccine-serotypes remain a concern. We used whole genome sequencing to study pneumococcal serotype, antibiotic resistance and invasiveness, in the context of genetic background.
Our dataset of 13,454 genomes, combined with four published genomic datasets, represented Africa (40%), Asia (25%), Europe (19%), North America (12%), and South America (5%). These 20,027 pneumococcal genomes were clustered into lineages using PopPUNK, and named Global Pneumococcal Sequence Clusters (GPSCs). From our dataset, we additionally derived serotype and sequence type, and predicted antibiotic sensitivity. We then measured invasiveness using odds ratios that relating prevalence in invasive pneumococcal disease to carriage.
The combined collections (n = 20,027) were clustered into 621 GPSCs. Thirty-five GPSCs observed in our dataset were represented by >100 isolates, and subsequently classed as dominant-GPSCs. In 22/35 (63%) of dominant-GPSCs both non-vaccine serotypes and vaccine serotypes were observed in the years up until, and including, the first year of pneumococcal conjugate vaccine introduction. Penicillin and multidrug resistance were higher (p < .05) in a subset dominant-GPSCs (14/35, 9/35 respectively), and resistance to an increasing number of antibiotic classes was associated with increased recombination (R = 0.27 p < .0001). In 28/35 dominant-GPSCs, the country of isolation was a significant predictor (p < .05) of its antibiogram (mean misclassification error 0.28, SD ± 0.13). We detected increased invasiveness of six genetic backgrounds, when compared to other genetic backgrounds expressing the same serotype. Up to 1.6-fold changes in invasiveness odds ratio were observed.
We define GPSCs that can be assigned to any pneumococcal genomic dataset, to aid international comparisons. Existing non-vaccine-serotypes in most GPSCs preclude the removal of these lineages by pneumococcal conjugate vaccines; leaving potential for serotype replacement. A subset of GPSCs have increased resistance, and/or serotype-independent invasiveness.
肺炎球菌结合疫苗降低了疫苗血清型引起的侵袭性肺炎球菌病的发病率,但非疫苗血清型仍然令人担忧。我们使用全基因组测序技术,在遗传背景的基础上研究肺炎球菌血清型、抗生素耐药性和侵袭性。
我们的 13454 个基因组数据集与四个已发表的基因组数据集相结合,代表了非洲(40%)、亚洲(25%)、欧洲(19%)、北美(12%)和南美(5%)。使用 PopPUNK 将这 20027 个肺炎球菌基因组聚类为谱系,并命名为全球肺炎球菌序列簇(GPSC)。从我们的数据集,我们还推导出血清型和序列型,并预测抗生素敏感性。然后,我们使用比值比来衡量侵袭性,该比值比与侵袭性肺炎球菌病的流行率与携带率有关。
合并的数据集(n=20027)聚类为 621 个 GPSC。在我们的数据集观察到的 35 个 GPSC 中有 100 多个分离株,因此被归类为优势 GPSC。在 22/35(63%)个优势 GPSC 中,非疫苗血清型和疫苗血清型都在包括肺炎球菌结合疫苗引入的第一年在内的前几年中被观察到。青霉素和多药耐药性在亚组优势 GPSC 中更高(p<0.05)(分别为 14/35,9/35),并且对越来越多的抗生素类别的耐药性与重组增加有关(R=0.27,p<0.0001)。在 35 个优势 GPSC 中,分离国是其抗生素图谱的显著预测因子(p<0.05)(平均错误分类误差为 0.28,标准差±0.13)。与表达相同血清型的其他遗传背景相比,我们检测到 6 种遗传背景的侵袭性增加。观察到的侵袭性比值比变化高达 1.6 倍。
我们定义了可以分配给任何肺炎球菌基因组数据集的 GPSC,以帮助进行国际比较。大多数 GPSC 中现有的非疫苗血清型排除了肺炎球菌结合疫苗对这些谱系的清除,从而有可能发生血清型替代。亚组 GPSC 具有更高的耐药性和/或与血清型无关的侵袭性。