Maiden M C, Bygraves J A, Feil E, Morelli G, Russell J E, Urwin R, Zhang Q, Zhou J, Zurth K, Caugant D A, Feavers I M, Achtman M, Spratt B G
Wellcome Trust Centre for the Epidemiology of Infectious Disease, Department of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom.
Proc Natl Acad Sci U S A. 1998 Mar 17;95(6):3140-5. doi: 10.1073/pnas.95.6.3140.
Traditional and molecular typing schemes for the characterization of pathogenic microorganisms are poorly portable because they index variation that is difficult to compare among laboratories. To overcome these problems, we propose multilocus sequence typing (MLST), which exploits the unambiguous nature and electronic portability of nucleotide sequence data for the characterization of microorganisms. To evaluate MLST, we determined the sequences of approximately 470-bp fragments from 11 housekeeping genes in a reference set of 107 isolates of Neisseria meningitidis from invasive disease and healthy carriers. For each locus, alleles were assigned arbitrary numbers and dendrograms were constructed from the pairwise differences in multilocus allelic profiles by cluster analysis. The strain associations obtained were consistent with clonal groupings previously determined by multilocus enzyme electrophoresis. A subset of six gene fragments was chosen that retained the resolution and congruence achieved by using all 11 loci. Most isolates from hyper-virulent lineages of serogroups A, B, and C meningococci were identical for all loci or differed from the majority type at only a single locus. MLST using six loci therefore reliably identified the major meningococcal lineages associated with invasive disease. MLST can be applied to almost all bacterial species and other haploid organisms, including those that are difficult to cultivate. The overwhelming advantage of MLST over other molecular typing methods is that sequence data are truly portable between laboratories, permitting one expanding global database per species to be placed on a World-Wide Web site, thus enabling exchange of molecular typing data for global epidemiology via the Internet.
用于鉴定致病微生物的传统分型方法和分子分型方法的便携性较差,因为它们所依据的变异指标在不同实验室之间难以进行比较。为克服这些问题,我们提出了多位点序列分型法(MLST),该方法利用核苷酸序列数据明确无误的特性及其电子便携性来鉴定微生物。为评估MLST,我们测定了来自侵袭性疾病患者和健康携带者的107株脑膜炎奈瑟菌参考菌株中11个管家基因约470bp片段的序列。对于每个位点,给等位基因指定任意数字,并通过聚类分析根据多位点等位基因谱中的成对差异构建树形图。所获得的菌株关联与先前通过多位点酶电泳确定的克隆分组一致。选择了六个基因片段的一个子集,该子集保留了使用所有11个位点所实现的分辨率和一致性。A、B和C群脑膜炎球菌高毒力谱系的大多数分离株在所有位点上都是相同的,或者仅在单个位点上与多数类型不同。因此,使用六个位点的MLST能够可靠地鉴定与侵袭性疾病相关的主要脑膜炎球菌谱系。MLST几乎可应用于所有细菌物种和其他单倍体生物,包括那些难以培养的生物。MLST相对于其他分子分型方法的压倒性优势在于,序列数据在不同实验室之间具有真正的便携性,允许为每个物种建立一个不断扩展的全球数据库,并放置在万维网上,从而能够通过互联网交换用于全球流行病学的分子分型数据。