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Genomic epidemiological analysis of county-scale Yersinia pestis spread pattern over 50 years in a Southwest Chinese prefecture

Plague, one of the most devastating infectious diseases in human history, is caused by the bacterium Yersinia pestis. Since the 1950s, the Dehong Dai–Jingpo Autonomous Prefecture (DH) in Yunnan Province, China, has recorded plague outbreaks that have resulted in 1,153 human cases and 379 deaths. The...

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Autores principales: Qin, Jingliang, Shi, Liyuan, Wu, Yarong, Kong, Jinjiao, Qian, Xiuwei, Zhang, Xianglilan, Zuo, Xiujuan, Fan, Hang, Guo, Yan, Cui, Mengnan, Dong, Shanshan, Tan, Hongli, Zhong, Youhong, Song, Yajun, Yang, Ruifu, Wang, Peng, Cui, Yujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406180/
https://www.ncbi.nlm.nih.gov/pubmed/37549110
http://dx.doi.org/10.1371/journal.pntd.0011527
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author Qin, Jingliang
Shi, Liyuan
Wu, Yarong
Kong, Jinjiao
Qian, Xiuwei
Zhang, Xianglilan
Zuo, Xiujuan
Fan, Hang
Guo, Yan
Cui, Mengnan
Dong, Shanshan
Tan, Hongli
Zhong, Youhong
Song, Yajun
Yang, Ruifu
Wang, Peng
Cui, Yujun
author_facet Qin, Jingliang
Shi, Liyuan
Wu, Yarong
Kong, Jinjiao
Qian, Xiuwei
Zhang, Xianglilan
Zuo, Xiujuan
Fan, Hang
Guo, Yan
Cui, Mengnan
Dong, Shanshan
Tan, Hongli
Zhong, Youhong
Song, Yajun
Yang, Ruifu
Wang, Peng
Cui, Yujun
author_sort Qin, Jingliang
collection PubMed
description Plague, one of the most devastating infectious diseases in human history, is caused by the bacterium Yersinia pestis. Since the 1950s, the Dehong Dai–Jingpo Autonomous Prefecture (DH) in Yunnan Province, China, has recorded plague outbreaks that have resulted in 1,153 human cases and 379 deaths. The genetic diversity and transmission characteristics of Y. pestis strains in this region remain unknown. Here, we performed high-resolution genomic epidemiological analysis of 175 Y. pestis strains isolated from five counties and 19 towns in DH between 1953 and 2007. Phylogenetic analysis revealed that most DH strains were located in lineage 1.ORI2, which could be further subdivided into seven sub-phylogroups (SPG1-SPG7). The dominant sub-phylogroups of Y. pestis in DH varied during different periods and presented a population shift. Genomic evidence showed that plague might have emerged from the southwest of DH (e.g., Longchuan or Ruili counties) or its bordering countries, and subsequently spread to the northeast in multiple waves between 1982 and 2007. Our study infers a fine-scale phylogeny and spread pattern of the DH Y. pestis population, which extends our knowledge regarding its genetic diversity and provides clues for the future prevention and control of plague in this region.
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spelling pubmed-104061802023-08-08 Genomic epidemiological analysis of county-scale Yersinia pestis spread pattern over 50 years in a Southwest Chinese prefecture Qin, Jingliang Shi, Liyuan Wu, Yarong Kong, Jinjiao Qian, Xiuwei Zhang, Xianglilan Zuo, Xiujuan Fan, Hang Guo, Yan Cui, Mengnan Dong, Shanshan Tan, Hongli Zhong, Youhong Song, Yajun Yang, Ruifu Wang, Peng Cui, Yujun PLoS Negl Trop Dis Research Article Plague, one of the most devastating infectious diseases in human history, is caused by the bacterium Yersinia pestis. Since the 1950s, the Dehong Dai–Jingpo Autonomous Prefecture (DH) in Yunnan Province, China, has recorded plague outbreaks that have resulted in 1,153 human cases and 379 deaths. The genetic diversity and transmission characteristics of Y. pestis strains in this region remain unknown. Here, we performed high-resolution genomic epidemiological analysis of 175 Y. pestis strains isolated from five counties and 19 towns in DH between 1953 and 2007. Phylogenetic analysis revealed that most DH strains were located in lineage 1.ORI2, which could be further subdivided into seven sub-phylogroups (SPG1-SPG7). The dominant sub-phylogroups of Y. pestis in DH varied during different periods and presented a population shift. Genomic evidence showed that plague might have emerged from the southwest of DH (e.g., Longchuan or Ruili counties) or its bordering countries, and subsequently spread to the northeast in multiple waves between 1982 and 2007. Our study infers a fine-scale phylogeny and spread pattern of the DH Y. pestis population, which extends our knowledge regarding its genetic diversity and provides clues for the future prevention and control of plague in this region. Public Library of Science 2023-08-07 /pmc/articles/PMC10406180/ /pubmed/37549110 http://dx.doi.org/10.1371/journal.pntd.0011527 Text en © 2023 Qin et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Qin, Jingliang
Shi, Liyuan
Wu, Yarong
Kong, Jinjiao
Qian, Xiuwei
Zhang, Xianglilan
Zuo, Xiujuan
Fan, Hang
Guo, Yan
Cui, Mengnan
Dong, Shanshan
Tan, Hongli
Zhong, Youhong
Song, Yajun
Yang, Ruifu
Wang, Peng
Cui, Yujun
Genomic epidemiological analysis of county-scale Yersinia pestis spread pattern over 50 years in a Southwest Chinese prefecture
title Genomic epidemiological analysis of county-scale Yersinia pestis spread pattern over 50 years in a Southwest Chinese prefecture
title_full Genomic epidemiological analysis of county-scale Yersinia pestis spread pattern over 50 years in a Southwest Chinese prefecture
title_fullStr Genomic epidemiological analysis of county-scale Yersinia pestis spread pattern over 50 years in a Southwest Chinese prefecture
title_full_unstemmed Genomic epidemiological analysis of county-scale Yersinia pestis spread pattern over 50 years in a Southwest Chinese prefecture
title_short Genomic epidemiological analysis of county-scale Yersinia pestis spread pattern over 50 years in a Southwest Chinese prefecture
title_sort genomic epidemiological analysis of county-scale yersinia pestis spread pattern over 50 years in a southwest chinese prefecture
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406180/
https://www.ncbi.nlm.nih.gov/pubmed/37549110
http://dx.doi.org/10.1371/journal.pntd.0011527
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