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Genotyping of Yersinia pestis in Gansu Province by single nucleotide polymorphism / 中华地方病学杂志
Chinese Journal of Endemiology ; (12): 883-889, 2022.
Article en Zh | WPRIM | ID: wpr-991540
Biblioteca responsable: WPRO
ABSTRACT
Objective:To study the genotyping and regional distribution characteristics of Yersinia pestis by single nucleotide polymorphism (SNP) in Gansu Province. Methods:A total of 52 strains of Yersinia pestis isolated from Himalaya Marmot plague foci and Spermophilus alaschanicus plague foci in Gansu Province from 1962 to 2017 were selected for culture and extraction of DNA. The genomic DNA of Yersinia pestis was sequenced by the second generation of Illumina PE150 to identify the SNP sites. The species characteristics of Yersinia pestis in Gansu Province was determined by the Kimura-2-parameter model of neighbor joining of Mega 10.0 software based on the SNP sites. The molecular evolutionary tree of the groups was determined by Hasegawa-Kishino-Yano model of maximum likelihood method according to the SNP sites. Results:A total of 103 SNP sites were identified in 52 strains of Yersinia pestis in Gansu Province, including 28 intergenic loci, 43 non-synonymous mutations, 31 synonymous mutations and 1 nonsense mutation. The 52 strains of Yersinia pestis were divided into 2 biotypes and 3 groups, which were ancient type (1.IN2, 3.ANT) and medieval type (2.MED). Among them, 35 strains belonged to 1.IN2 group, 13 strains belonged to 3.ANT group, and 4 strains belonged to 2.MED group. The 1.IN2 group was further divided into 5 subgroups: the groups of Yuerhong Town and Dangchengwan Town in Subei County, the groups of Mati Town and Dahe Town in Sunan County, and the group of Xiahe County. The 3.ANT group was further divided into 2 subgroups: the groups of Hongliuwan Town in Aksay County and Machang in Dangchengwan Town of Subei County. Conclusion:The SNP method can be used to genotype Yersinia pestis from different plague foci in Gansu Province, which has certain regional characteristics.
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Texto completo: 1 Índice: WPRIM Idioma: Zh Revista: Chinese Journal of Endemiology Año: 2022 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Idioma: Zh Revista: Chinese Journal of Endemiology Año: 2022 Tipo del documento: Article