The multilocus sequence typing network: mlst.net.
The multilocus sequence typing network: mlst.net.
复制标题
DOI：
10.1093/nar/gki415
复制
发表时间：
2005-07-01
影响因子：
14.9
通讯作者：
Spratt BG
中科院分区：
文献类型：
--
作者：
Aanensen DM;Spratt BG
病原体菌株的明确特征对于解决与其流行病学、种群和进化生物学有关的问题至关重要。多位点序列分型(MLST)从7个看家基因座的序列中确定菌株，已成为许多细菌和真菌病原体(和非病原体)分子分型的首选方法，并且MLST方案和菌株数据库可用于越来越多的原核生物和真核生物。序列数据是菌株鉴定的理想选择，因为它们是明确的，这意味着可以很容易地通过互联网在不同实验室之间进行菌株比较。进行MLST的实验室可以迅速从对七个基因片段进行测序到鉴定它们的菌株，并将它们与其他人提交的菌株和整个种群联系起来。我们提供了通往一些MLST方案的途径，每个方案都包含一套用于菌株初始特征的工具，以及用于将查询菌株与该物种的其他菌株相关联的方法，包括基于等位基因图谱差异的聚类、基于串联序列的系统发育树以及最近开发的用于识别物种内克隆复合体和显示种群整体结构的方法(EBURST)。该MLST网站网络的网址为：
The unambiguous characterization of strains of a pathogen is crucial for addressing questions relating to its epidemiology, population and evolutionary biology. Multilocus sequence typing (MLST), which defines strains from the sequences at seven house-keeping loci, has become the method of choice for molecular typing of many bacterial and fungal pathogens (and non-pathogens), and MLST schemes and strain databases are available for a growing number of prokaryotic and eukaryotic organisms. Sequence data are ideal for strain characterization as they are unambiguous, meaning strains can readily be compared between laboratories via the Internet. Laboratories undertaking MLST can quickly progress from sequencing the seven gene fragments to characterizing their strains and relating them to those submitted by others and to the population as a whole. We provide the gateway to a number of MLST schemes, each of which contain a set of tools for the initial characterization of strains, and methods for relating query strains to other strains of the species, including clustering based on differences in allelic profiles, phylogenetic trees based on concatenated sequences, and a recently developed method (eBURST) for identifying clonal complexes within a species and displaying the overall structure of the population. This network of MLST websites is available at
登录
查看更多内容
影响因子：
5.8
作者：
Zmasek, CM;Eddy, SR
通讯作者：
Eddy, SR
影响因子：
3.2
作者：
Feil, EJ;Li, BC;Spratt, BG
通讯作者：
Spratt, BG
影响因子：
5.8
作者：
Kumar, S;Tamura, K;Nei, M
通讯作者：
Nei, M
影响因子：
5.8
作者：
Chan, MS;Maiden, MCJ;Spratt, BG
通讯作者：
Spratt, BG
影响因子：
3
作者：
Jolley KA;Chan MS;Maiden MC
通讯作者：
Maiden MC