Department of Zoology, The Peter Medawar Building for Pathogen Research, South Parks Road, University of Oxford, Oxford, United Kingdom.
The Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford, United Kingdom.
J Infect Dis. 2020 Nov 9;222(11):1816-1825. doi: 10.1093/infdis/jiaa002.
Gonorrhea, caused by the bacterium Neisseria gonorrhoeae, is a globally prevalent sexually transmitted infection. The dynamics of gonococcal population biology have been poorly defined due to a lack of resolution in strain typing methods.
In this study, we assess how the core genome can be used to improve our understanding of gonococcal population structure compared with current typing schemes.
A total of 1668 loci were identified as core to the gonococcal genome. These were organized into a core genome multilocus sequence typing scheme (N gonorrhoeae cgMLST v1.0). A clustering algorithm using a threshold of 400 allelic differences between isolates resolved gonococci into discrete and stable core genome groups, some of which persisted for multiple decades. These groups were associated with antimicrobial genotypes and non-overlapping NG-STAR and NG-MAST sequence types. The MLST-STs were more widely distributed among core genome groups.
Clustering with cgMLST identified globally distributed, persistent, gonococcal lineages improving understanding of the population biology of gonococci and revealing its population structure. These findings have implications for the emergence of antimicrobial resistance in gonococci and how this is associated with lineages, some of which are more predisposed to developing antimicrobial resistance than others.
淋病由淋球菌引起,是一种全球流行的性传播感染。由于菌株分型方法的分辨率不足,淋球菌种群生物学的动态一直难以确定。
在这项研究中,我们评估了核心基因组如何用于改善我们对淋球菌种群结构的理解,与当前的分型方案相比。
共鉴定出 1668 个核心基因组。这些核心基因组被组织成一个核心基因组多位点序列分型方案(N 淋球菌 cgMLST v1.0)。使用 400 个等位基因差异作为分离株之间的阈值的聚类算法将淋球菌分为离散且稳定的核心基因组群,其中一些群持续了几十年。这些群与抗菌基因型和不重叠的 NG-STAR 和 NG-MAST 序列类型相关。MLST-ST 在核心基因组群中分布更广泛。
cgMLST 的聚类鉴定了全球分布的、持久的淋球菌谱系,这提高了我们对淋球菌种群生物学的理解,并揭示了其种群结构。这些发现对淋球菌中抗菌药物耐药性的出现以及这种耐药性如何与某些谱系相关具有重要意义,其中一些谱系比其他谱系更容易产生抗菌药物耐药性。