Suppr超能文献

对 96 个基因组区域的序列分析确定了 MLST 数据库中最大的肺炎链球菌克隆复合体 CC156 内的不同进化谱系。

Sequence analysis of 96 genomic regions identifies distinct evolutionary lineages within CC156, the largest Streptococcus pneumoniae clonal complex in the MLST database.

机构信息

Research Center, Novartis Vaccines and Diagnostics, Siena, Italy.

出版信息

PLoS One. 2013 Apr 12;8(4):e61003. doi: 10.1371/journal.pone.0061003. Print 2013.

Abstract

Multi-Locus Sequence Typing (MLST) of Streptococcus pneumoniae is based on the sequence of seven housekeeping gene fragments. The analysis of MLST allelic profiles by eBURST allows the grouping of genetically related strains into Clonal Complexes (CCs) including those genotypes with a common descent from a predicted ancestor. However, the increasing use of MLST to characterize S. pneumoniae strains has led to the identification of a large number of new Sequence Types (STs) causing the merger of formerly distinct lineages into larger CCs. An example of this is the CC156, displaying a high level of complexity and including strains with allelic profiles differing in all seven of the MLST loci, capsular type and the presence of the Pilus Islet-1 (PI-1). Detailed analysis of the CC156 indicates that the identification of new STs, such as ST4945, induced the merging of formerly distinct clonal complexes. In order to discriminate the strain diversity within CC156, a recently developed typing schema, 96-MLST, was used to analyse 66 strains representative of 41 different STs. Analysis of allelic profiles by hierarchical clustering and a minimum spanning tree identified ten genetically distinct evolutionary lineages. Similar results were obtained by phylogenetic analysis on the concatenated sequences with different methods. The identified lineages are homogenous in capsular type and PI-1 presence. ST4945 strains were unequivocally assigned to one of the lineages. In conclusion, the identification of new STs through an exhaustive analysis of pneumococcal strains from various laboratories has highlighted that potentially unrelated subgroups can be grouped into a single CC by eBURST. The analysis of additional loci, such as those included in the 96-MLST schema, will be necessary to accurately discriminate the clonal evolution of the pneumococcal population.

摘要

肺炎链球菌的多位点序列分型(MLST)基于 7 个管家基因片段的序列。eBURST 对 MLST 等位基因谱的分析可以将遗传上相关的菌株分为克隆复合体(CC),包括那些具有共同祖先的基因型。然而,越来越多地使用 MLST 来表征肺炎链球菌菌株导致了大量新的序列型(ST)的鉴定,从而将以前不同的谱系合并到更大的 CC 中。CC156 就是一个例子,它显示出高度的复杂性,包括在所有 7 个 MLST 基因座、荚膜型和 P 菌毛岛 1(PI-1)的等位基因谱都不同的菌株。对 CC156 的详细分析表明,新 ST 的鉴定,如 ST4945,导致了以前不同的克隆复合体的合并。为了区分 CC156 内的菌株多样性,使用了最近开发的 96-MLST 分型方案来分析 66 株代表 41 种不同 ST 的菌株。通过层次聚类和最小生成树分析等位基因谱,确定了 10 个具有遗传差异的进化谱系。通过不同方法对串联序列进行系统发育分析也得到了相似的结果。鉴定的谱系在荚膜型和 PI-1 存在方面是同质的。ST4945 菌株被明确地分配到一个谱系中。总之,通过对来自不同实验室的肺炎链球菌菌株进行详尽的分析,鉴定新的 ST 表明,潜在无关的亚群可以通过 eBURST 被分组到一个单一的 CC 中。分析其他基因座,如 96-MLST 方案中包含的基因座,将有助于准确区分肺炎链球菌种群的克隆进化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6ae/3625235/1a7fc2436255/pone.0061003.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验