Eroshenko G A, Odinokov G N, Kukleva L M, Pavlova A I, Krasnov Ia M, Shavina N Iu, Guseva N P, Vinogradova N A, Kutyrev V V
Zh Mikrobiol Epidemiol Immunobiol. 2012 May-Jun(3):25-35.
Development of the standard algorithm of molecular typing of Yersinia pestis that ensures establishing of subspecies, biovar and focus membership of the studied isolate. Determination of the characteristic strain genotypes of plague infectious agent of main and nonmain subspecies from various natural foci of plague of the Russian Federation and the near abroad.
Genotyping of 192 natural Y. pestis strains of main and nonmain subspecies was performed by using PCR methods, multilocus sequencing and multilocus analysis of variable tandem repeat number.
A standard algorithm of molecular typing of plague infectious agent including several stages of Yersinia pestis differentiation by membership: in main and nonmain subspecies, various biovars of the main subspecies, specific subspecies; natural foci and geographic territories was developed. The algorithm is based on 3 typing methods--PCR, multilocus sequence typing and multilocus analysis of variable tandem repeat number using standard DNA targets--life support genes (terC, ilvN, inv, glpD, napA, rhaS and araC) and 7 loci of variable tandem repeats (ms01, ms04, ms06, ms07, ms46, ms62, ms70). The effectiveness of the developed algorithm is shown on the large number of natural Y. pestis strains. Characteristic sequence types of Y. pestis strains of various subspecies and biovars as well as MLVA7 genotypes of strains from natural foci of plague of the Russian Federation and the near abroad were established.
The application of the developed algorithm will increase the effectiveness of epidemiologic monitoring of plague infectious agent, and analysis of epidemics and outbreaks of plague with establishing the source of origin of the strain and routes of introduction of the infection.
开发鼠疫耶尔森菌分子分型的标准算法，以确保确定所研究菌株的亚种、生物变种和疫源地归属。确定来自俄罗斯联邦及周边国家不同鼠疫自然疫源地的主要和非主要亚种鼠疫传染源的特征性菌株基因型。
采用PCR方法、多位点测序和可变串联重复序列数量的多位点分析，对192株主要和非主要亚种的鼠疫耶尔森菌自然菌株进行基因分型。
开发了一种鼠疫传染源分子分型的标准算法，该算法包括鼠疫耶尔森菌按归属进行分化的几个阶段：主要和非主要亚种、主要亚种的不同生物变种、特定亚种；自然疫源地和地理区域。该算法基于3种分型方法——PCR、多位点序列分型和使用标准DNA靶点的可变串联重复序列数量的多位点分析——生命支持基因（terC、ilvN、inv、glpD、napA、rhaS和araC）以及7个可变串联重复序列位点（ms01、ms04、ms06、ms07、ms46、ms62、ms70）。在大量鼠疫耶尔森菌自然菌株上展示了所开发算法的有效性。确定了不同亚种和生物变种的鼠疫耶尔森菌菌株的特征性序列类型，以及来自俄罗斯联邦及周边国家鼠疫自然疫源地菌株的MLVA7基因型。
所开发算法的应用将提高鼠疫传染源流行病学监测的有效性，以及通过确定菌株来源和感染引入途径对鼠疫流行和暴发进行分析的有效性。
