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Genomic diversity of Yersinia pestis from Yunnan Province, China, implies a potential common ancestor as the source of two plague epidemics

Jingliang Qin, Yarong Wu, Liyuan Shi, Xiujuan Zuo, Xianglilan Zhang, Xiuwei Qian, Hang Fan, Yan Guo, Mengnan Cui, Haipeng Zhang, Fengyi Yang, Jinjiao Kong, Yajun Song, Ruifu Yang, Peng Wang, Yujun Cui

2023Communications Biology10 citationsDOIOpen Access PDF

Abstract

Plague, caused by Yersinia pestis, is a zoonotic disease that can reemerge and cause outbreaks following decades of latency in natural plague foci. However, the genetic diversity and spread pattern of Y. pestis during these epidemic-silent cycles remain unclear. In this study, we analyze 356 Y. pestis genomes isolated between 1952 and 2016 in the Yunnan Rattus tanezumi plague focus, China, covering two epidemic-silent cycles. Through high-resolution genomic epidemiological analysis, we find that 96% of Y. pestis genomes belong to phylogroup 1.ORI2 and are subdivided into two sister clades (Sublineage1 and Sublineage2) characterized by different temporal-spatial distributions and genetic diversity. Most of the Sublineage1 strains are isolated from the first epidemic-silent cycle, while Sublineage2 strains are predominantly from the second cycle and revealing a west to east spread. The two sister clades evolved in parallel from a common ancestor and independently lead to two separate epidemics, confirming that the pathogen responsible for the second epidemic following the silent interval is not a descendant of the causative strain of the first epidemic. Our results provide a mechanism for defining epidemic-silent cycles in natural plague foci, which is valuable in the prevention and control of future plague outbreaks.

Topics & Concepts

Yersinia pestisPlague (disease)BiologyOutbreakGenetic diversityCladeVirologyPhylogenetic treeEvolutionary biologyGeneticsVirulenceGeographyGenePopulationDemographySociologyArchaeologyYersinia bacterium, plague, ectoparasites researchVector-borne infectious diseasesBee Products Chemical Analysis