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Ma Y, Liu P, Li Z, Yue Y, Zhao Y, He J, Zhao J, Song X, Wang J, Liu Q, Lu L. High genetic diversity of the himalayan marmot relative to plague outbreaks in the Qinghai-Tibet Plateau, China. BMC Genomics 2024; 25:262. [PMID: 38459433 PMCID: PMC10921737 DOI: 10.1186/s12864-024-10171-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 02/28/2024] [Indexed: 03/10/2024] Open
Abstract
Plague, as an ancient zoonotic disease caused by Yersinia pestis, has brought great disasters. The natural plague focus of Marmota himalayana in the Qinghai-Tibet Plateau is the largest, which has been constantly active and the leading source of human plague in China for decades. Understanding the population genetics of M. himalayana and relating that information to the biogeographic distribution of Yersinia pestis and plague outbreaks are greatly beneficial for the knowledge of plague spillover and arecrucial for pandemic prevention. In the present research, we assessed the population genetics of M. himalayana. We carried out a comparative study of plague outbreaks and the population genetics of M. himalayana on the Qinghai-Tibet Plateau. We found that M. himalayana populations are divided into two main clusters located in the south and north of the Qinghai-Tibet Plateau. Fourteen DFR genomovars of Y. pestis were found and exhibited a significant region-specific distribution. Additionally, the increased genetic diversity of plague hosts is positively associated with human plague outbreaks. This insight gained can improve our understanding of biodiversity for pathogen spillover and provide municipally directed targets for One Health surveillance development, which will be an informative next step toward increased monitoring of M. himalayana dynamics.
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Affiliation(s)
- Ying Ma
- Qinghai Institute for Endemic Disease Prevention and Control, Xining, 811602, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, China
| | - Pengbo Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, China
| | - Ziyan Li
- College of Life Sciences, WuHan University, Wuhan, 430072, China
| | - Yujuan Yue
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, China
| | - Yanmei Zhao
- Qinghai Institute for Endemic Disease Prevention and Control, Xining, 811602, China
| | - Jian He
- Qinghai Institute for Endemic Disease Prevention and Control, Xining, 811602, China
| | - Jiaxin Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, China
- Center for Disease Control and Prevention of Chaoyang District, Beijing, 100021, China
| | - Xiuping Song
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, China
| | - Jun Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, China
| | - Qiyong Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, China
| | - Liang Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, 102206, China.
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Suladze T, Jaiani E, Darsavelidze M, Elizbarashvili M, Gorge O, Kusradze I, Kokashvili T, Lashkhi N, Tsertsvadze G, Janelidze N, Chubinidze S, Grdzelidze M, Tsanava S, Valade E, Tediashvili M. New Bacteriophages with Podoviridal Morphotypes Active against Yersinia pestis: Characterization and Application Potential. Viruses 2023; 15:1484. [PMID: 37515171 PMCID: PMC10385128 DOI: 10.3390/v15071484] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 06/22/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023] Open
Abstract
Phages of highly pathogenic bacteria represent an area of growing interest for bacterial detection and identification and subspecies typing, as well as for phage therapy and environmental decontamination. Eight new phages-YpEc56, YpEc56D, YpEc57, YpEe58, YpEc1, YpEc2, YpEc11, and YpYeO9-expressing lytic activity towards Yersinia pestis revealed a virion morphology consistent with the Podoviridae morphotype. These phages lyse all 68 strains from 2 different sets of Y. pestis isolates, thus limiting their potential application for subtyping of Y. pestis strains but making them rather promising in terms of infection control. Two phages-YpYeO9 and YpEc11-were selected for detailed studies based on their source of isolation and lytic cross activity towards other Enterobacteriaceae. The full genome sequencing demonstrated the virulent nature of new phages. Phage YpYeO9 was identified as a member of the Teseptimavirus genus and YpEc11 was identified as a member of the Helsettvirus genus, thereby representing new species. A bacterial challenge assay in liquid microcosm with a YpYeO9/YpEc11 phage mixture showed elimination of Y. pestis EV76 during 4 h at a P/B ratio of 1000:1. These results, in combination with high lysis stability results of phages in liquid culture, the low frequency of formation of phage resistant mutants, and their viability under different physical-chemical factors indicate their potential for their practical use as an antibacterial mean.
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Affiliation(s)
- Tamar Suladze
- George Eliava Institute of Bacteriophages, Microbiology and Virology (Eliava IBMV), 3, Gotua Str., 0160 Tbilisi, Georgia
| | - Ekaterine Jaiani
- George Eliava Institute of Bacteriophages, Microbiology and Virology (Eliava IBMV), 3, Gotua Str., 0160 Tbilisi, Georgia
| | - Marina Darsavelidze
- George Eliava Institute of Bacteriophages, Microbiology and Virology (Eliava IBMV), 3, Gotua Str., 0160 Tbilisi, Georgia
| | - Maia Elizbarashvili
- George Eliava Institute of Bacteriophages, Microbiology and Virology (Eliava IBMV), 3, Gotua Str., 0160 Tbilisi, Georgia
| | - Olivier Gorge
- French Armed Forces Biomedical Research Institute (IRBA), 1, Place du Général Valérie André-BP 73, 91223 Bretigny-sur-Orge, France
| | - Ia Kusradze
- George Eliava Institute of Bacteriophages, Microbiology and Virology (Eliava IBMV), 3, Gotua Str., 0160 Tbilisi, Georgia
| | - Tamar Kokashvili
- George Eliava Institute of Bacteriophages, Microbiology and Virology (Eliava IBMV), 3, Gotua Str., 0160 Tbilisi, Georgia
- School of Science and Technology, University of Georgia, 77a, Kostava Str., 0171 Tbilisi, Georgia
| | - Nino Lashkhi
- George Eliava Institute of Bacteriophages, Microbiology and Virology (Eliava IBMV), 3, Gotua Str., 0160 Tbilisi, Georgia
| | - George Tsertsvadze
- George Eliava Institute of Bacteriophages, Microbiology and Virology (Eliava IBMV), 3, Gotua Str., 0160 Tbilisi, Georgia
| | - Nino Janelidze
- George Eliava Institute of Bacteriophages, Microbiology and Virology (Eliava IBMV), 3, Gotua Str., 0160 Tbilisi, Georgia
- School of Science and Technology, University of Georgia, 77a, Kostava Str., 0171 Tbilisi, Georgia
| | - Svetlana Chubinidze
- National Center for Disease Control and Pubic Health (NCDC), 99, Kakheti Highway, 0109 Tbilisi, Georgia
| | - Marina Grdzelidze
- National Center for Disease Control and Pubic Health (NCDC), 99, Kakheti Highway, 0109 Tbilisi, Georgia
| | - Shota Tsanava
- National Center for Disease Control and Pubic Health (NCDC), 99, Kakheti Highway, 0109 Tbilisi, Georgia
| | - Eric Valade
- French Armed Forces Biomedical Research Institute (IRBA), 1, Place du Général Valérie André-BP 73, 91223 Bretigny-sur-Orge, France
| | - Marina Tediashvili
- George Eliava Institute of Bacteriophages, Microbiology and Virology (Eliava IBMV), 3, Gotua Str., 0160 Tbilisi, Georgia
- School of Science and Technology, University of Georgia, 77a, Kostava Str., 0171 Tbilisi, Georgia
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<i>Yersinia pestis</i> ssp. <i>pestis</i> Spatial MLVA25 Genotypic Structure in the Transboundary Saylyugem Natural Plague Focus. PROBLEMS OF PARTICULARLY DANGEROUS INFECTIONS 2023. [DOI: 10.21055/0370-1069-2022-4-110-116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Advanced molecular-genetic methods for the diagnosis and typing of Yersinia pestis ssp. pestis in the field and clinical material are used for epidemiological surveillance of plague in the Saylyugem natural focus. The aim of the work was to study the spatial genotypic structure of Y. pestis ssp. pestis in the transboundary Saylyugem natural plague focus using MLVA25 typing. Materials and methods. The MLVA25 typing of 160 strains of Y. pestis ssp. Pestis isolated in the Saylyugem natural plague focus in 2012–2021 was carried out. Phylogenetic tree construction was performed with the help of UPGMA and MST methods. Results and discussion. The Y. pestis ssp. pestis strains isolated from the Saylyugem natural plague focus were differentiated into 15 MLVA types by the 25 VNTR loci cluster analysis. The studied strains form a homogeneous complex of MLVA25 types without marked geographical distribution across seven spatial groups. The analysis of the frequency of occurrence of the tandem repeats number for three variable loci of Y. pestis ssp. pestis strains shows the significant differences between the samples from the Mongolian and Russian parts of the Saylyugem natural plague focus. The most pronounced differences in spatial genotypic structure are traced through the yp4280ms62 locus.
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Plagued by a cryptic clock: insight and issues from the global phylogeny of Yersinia pestis. Commun Biol 2023; 6:23. [PMID: 36658311 PMCID: PMC9852431 DOI: 10.1038/s42003-022-04394-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 12/21/2022] [Indexed: 01/21/2023] Open
Abstract
Plague has an enigmatic history as a zoonotic pathogen. This infectious disease will unexpectedly appear in human populations and disappear just as suddenly. As a result, a long-standing line of inquiry has been to estimate when and where plague appeared in the past. However, there have been significant disparities between phylogenetic studies of the causative bacterium, Yersinia pestis, regarding the timing and geographic origins of its reemergence. Here, we curate and contextualize an updated phylogeny of Y. pestis using 601 genome sequences sampled globally. Through a detailed Bayesian evaluation of temporal signal in subsets of these data we demonstrate that a Y. pestis-wide molecular clock is unstable. To resolve this, we developed a new approach in which each Y. pestis population was assessed independently, enabling us to recover substantial temporal signal in five populations, including the ancient pandemic lineages which we now estimate may have emerged decades, or even centuries, before a pandemic was historically documented from European sources. Despite this methodological advancement, we only obtain robust divergence dates from populations sampled over a period of at least 90 years, indicating that genetic evidence alone is insufficient for accurately reconstructing the timing and spread of short-term plague epidemics.
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Mou W, Li B, Wang X, Wang Y, Liao P, Zhang X, Gui Y, Baokaixi G, Luo Y, Aihemaijiang M, Wang Q, Liu F. Flea index predicts plague epizootics among great gerbils (Rhombomys opimus) in the Junggar Basin China plague focus. Parasit Vectors 2022; 15:214. [PMID: 35715846 PMCID: PMC9205042 DOI: 10.1186/s13071-022-05330-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/20/2022] [Indexed: 11/10/2022] Open
Abstract
Background The Junggar Basin plague focus was the most recently identified natural plague focus in China. Through extensive field investigations, great gerbils (Rhombomys opimus) have been confirmed as the main host in this focus, and the community structure of their parasitic fleas is associated with the intensity of plague epizootics. The aim of this study is to provide an indicator that can be surveyed to evaluate the risk of plague epizootics. Methods Between 2005 and 2016, rodents and fleas were collected in the Junggar Basin plague focus. The parasitic fleas on great gerbils were harvested, and anti-F1 antibody in the serum or heart infusion of great gerbils was detected through indirect hemagglutination assay. Yersinia pestis (Y. pestis) was isolated from the liver and spleen of great gerbils and their parasitic fleas using Luria-Bertani plates. Receiver-operating characteristic (ROC) curve was used to evaluate the predictive value of flea index. Results Between 2005 and 2016, 98 investigations were performed, and 6778 great gerbils and 68,498 fleas were collected. Twenty-seven rodents were positive for Y. pestis isolation with a positivity rate of 0.4%; 674 rodents were positive for anti-F1 antibody with a positivity rate of 9.9%. Among these 98 investigations, plague epizootics were confirmed in 13 instances by Y. pestis-positive rodents and in 59 instances by anti-F1 antibody-positive rodents. We observed a higher flea index among rodents with confirmed plague epizootic compared to the negative ones (P = 0.001, 0.002), with an AUC value of 0.659 (95% CI: 0.524–0.835, P = 0.038) for Y. pestis-positive rodents and an AUC value of 0.718 (95% CI: 0.687–0.784, P < 0.001) for anti-F1 antibody-positive rodents. Conclusions Significantly higher flea index was associated with confirmed plague epizootic cases among great gerbils and could be used to predict plague epizootics in this focus. Graphical Abstract ![]()
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Affiliation(s)
- Wenting Mou
- Microbiological Laboratory, Urumqi Center for Disease Control and Prevention, Urumqi, China
| | - Bo Li
- Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China
| | - Xiaojun Wang
- Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China
| | - Ying Wang
- Department of Human Resource, Xinjiang Center for Disease Control and Prevention, Urumqi, China
| | - Peihua Liao
- Department of Science and Education, Xinjiang Center for Disease Control and Prevention, Urumqi, China
| | - Xiaobing Zhang
- Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China
| | - Youjun Gui
- Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China
| | - Guliayi Baokaixi
- Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China
| | - Yongjun Luo
- Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China
| | - Mukedaisi Aihemaijiang
- Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China
| | - Qiguo Wang
- Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
| | - Feng Liu
- Department of Emergency Response and Plague Control, Xinjiang Center for Disease Control and Prevention, Urumqi, China.
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6
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Suntsov VV. Host Aspect of Territorial Expansion of the Plague Microbe Yersinia pestis from the Populations of the Tarbagan Marmot (Marmota sibirica). BIOL BULL+ 2021. [DOI: 10.1134/s1062359021080288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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7
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Li J, Wang Y, Liu F, Shen X, Wang Y, Fan M, Peng Y, Wang S, Feng Y, Zhang W, Lv Y, Zhang H, Lu X, Zhang E, Wei J, Chen L, Kan B, Zhang Z, Xu J, Wang W, Li W. Genetic source tracking of human plague cases in Inner Mongolia-Beijing, 2019. PLoS Negl Trop Dis 2021; 15:e0009558. [PMID: 34343197 PMCID: PMC8362994 DOI: 10.1371/journal.pntd.0009558] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/13/2021] [Accepted: 06/11/2021] [Indexed: 11/19/2022] Open
Abstract
On 12 November 2019, one couple from the Sonid Left Qi (County) in the Inner Mongolia Autonomous Region was diagnosed with pneumonic plague in Beijing. The wife acquired the infection from her husband. Thereafter, two bubonic plague cases were identified in Inner Mongolia on November 16th and 24th. In this study, genome-wide single nucleotide polymorphism (SNP) analysis was used to identify the phylogenetic relationship of Yersinia pestis strains isolated in Inner Mongolia. Strains isolated from reservoirs in 2018 and 2019 in Inner Mongolia, together with the strain isolated from Patient C, were further clustered into 2.MED3m, and two novel lineages (2.MED3q, 2.MED3r) in the 2.MED3 population. According to the analysis of PCR-based molecular subtyping methods, such as the MLVA 14 scheme and seven SNP allele sequencing, Patients A/B and D were classified as 2.MED3m. In addition, strains from rodents living near the patients' residences were clustered into the same lineage as patients. Such observations indicated that human plague cases originated from local reservoirs. Corresponding phylogenetic analysis also indicated that rodent plague strains in different areas in Inner Mongolia belong to different epizootics rather than being caused by spreading from the same epizootic in Meriones unguiculatus in 2019.
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Affiliation(s)
- Jianyun Li
- General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhehot, China
| | - Yumeng Wang
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Fang Liu
- General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhehot, China
| | - Xiaona Shen
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Yiting Wang
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Mengguang Fan
- General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhehot, China
| | - Yao Peng
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Shuyi Wang
- General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhehot, China
| | - Yilan Feng
- General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhehot, China
| | - Wen Zhang
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Yanning Lv
- Beijing Center for Disease Control and Prevention, Beijing, China
| | - Huijuan Zhang
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Xin Lu
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Enmin Zhang
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Jianchun Wei
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Lijuan Chen
- Beijing Center for Disease Control and Prevention, Beijing, China
| | - Biao Kan
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Zhongbing Zhang
- General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhehot, China
| | - Jianguo Xu
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
| | - Wenrui Wang
- General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhehot, China
| | - Wei Li
- National Institute for Communicable Disease Control and Prevention (ICDC), China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Changping, Beijing, China
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Dai R, He J, Zha X, Wang Y, Zhang X, Gao H, Yang X, Li J, Xin Y, Wang Y, Li S, Jin J, Zhang Q, Bai J, Peng Y, Wu H, Zhang Q, Wei B, Xu J, Li W. A novel mechanism of streptomycin resistance in Yersinia pestis: Mutation in the rpsL gene. PLoS Negl Trop Dis 2021; 15:e0009324. [PMID: 33886558 PMCID: PMC8096067 DOI: 10.1371/journal.pntd.0009324] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 05/04/2021] [Accepted: 03/23/2021] [Indexed: 12/28/2022] Open
Abstract
Streptomycin is considered to be one of the effective antibiotics for the treatment of plague. In order to investigate the streptomycin resistance of Y. pestis in China, we evaluated streptomycin susceptibility of 536 Y. pestis strains in China in vitro using the minimal inhibitory concentration (MIC) and screened streptomycin resistance-associated genes (strA and strB) by PCR method. A clinical Y. pestis isolate (S19960127) exhibited high-level resistance to streptomycin (the MIC was 4,096 mg/L). The strain (biovar antiqua) was isolated from a pneumonic plague outbreak in 1996 in Tibet Autonomous Region, China, belonging to the Marmota himalayana Qinghai–Tibet Plateau plague focus. In contrast to previously reported streptomycin resistance mediated by conjugative plasmids, the genome sequencing and allelic replacement experiments demonstrated that an rpsL gene (ribosomal protein S12) mutation with substitution of amino-acid 43 (K43R) was responsible for the high-level resistance to streptomycin in strain S19960127, which is consistent with the mutation reported in some streptomycin-resistant Mycobacterium tuberculosis strains. Streptomycin is used as the first-line treatment against plague in many countries. The emergence of streptomycin resistance in Y. pestis represents a critical public health problem. So streptomycin susceptibility monitoring of Y. pestis isolates should not only include plasmid-mediated resistance but also include the ribosomal protein S12 gene (rpsL) mutation, especially when treatment failure is suspected due to antibiotic resistance. The plague natural foci are widely distributed in the world, and correspondingly, the plague still poses a significant threat to human health in some countries with endemic plague foci. Streptomycin is used as the first-line treatment against plague in many countries for the antibiotic is considered to be one of the effective antibiotics, particularly for the treatment of pneumonic plague. The resistance to streptomycin had been reported in Y. pestis strains from Madagascar in previous studies. In this study, we reported the high-level resistance to streptomycin in a clinical isolate of Y. pestis from a pneumonic patient in Tibet Autonomous Region, China, and a novel mechanism of streptomycin resistance, i.e. mutation in the rpsL gene were identified. The knowledge acquired about streptomycin resistance in Y. pestis will remain of great practical value. For the emergence of resistance to streptomycin in Y. pestis would render the treatment failure, thus corresponding antibiotic monitoring should be routinely carried out in countries threatened by plague. In addition, based on our further understanding about streptomycin resistance of Y. pestis isolates, such monitoring should not only include plasmid-mediated resistance but also include the ribosomal protein S12 gene (rpsL) mutation in Y. pestis isolates.
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Affiliation(s)
- Ruixia Dai
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Jian He
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Xi Zha
- Center for Disease Control and Prevention of Tibet Autonomous Region, Lhasa, China
| | - Yiting Wang
- National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
| | - Xuefei Zhang
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - He Gao
- National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
| | - Xiaoyan Yang
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Juan Li
- National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
| | - Youquan Xin
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Yumeng Wang
- National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
| | - Sheng Li
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Juan Jin
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Qi Zhang
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Jixiang Bai
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Yao Peng
- National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
| | - Hailian Wu
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Qingwen Zhang
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Baiqing Wei
- Qinghai Institute for Endemic Disease Control and Prevention, Xining, China
- Key Laboratory of the National Health Commission for Plague Control and Prevention, Xining, China
| | - Jianguo Xu
- National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
| | - Wei Li
- National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
- * E-mail:
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9
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Gulla S, Tengs T, Mohammad SN, Gjessing M, Garseth ÅH, Sveinsson K, Moldal T, Petersen PE, Tørud B, Dale OB, Dahle MK. Genotyping of Salmon Gill Poxvirus Reveals One Main Predominant Lineage in Europe, Featuring Fjord- and Fish Farm-Specific Sub-Lineages. Front Microbiol 2020; 11:1071. [PMID: 32547516 PMCID: PMC7272583 DOI: 10.3389/fmicb.2020.01071] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 04/29/2020] [Indexed: 11/18/2022] Open
Abstract
Salmon gill poxvirus (SGPV) can cause serious gill disease in Atlantic salmon (Salmo salar L.) and represents a significant problem to aquaculture industries in Northern Europe. Here, a single-tube multi-locus variable-number tandem-repeat (VNTR) analysis (MLVA) genotyping assay, targeting eight VNTR loci, was developed for studying the epizootiology of SGPV. Through MLVA typing of SGPV positive samples from 180 farmed and wild Atlantic salmon in Northern Europe, the first molecular population study of this virus was undertaken. Comparison of resulting MLVA profiles by cluster analysis revealed considerable micro-diversity, while only a limited degree of specific clustering by country of origin could be observed, and no clustering relating to the severity of disease outbreaks. Phylogenetic analysis, based on genomic data from six SGPV specimens (three Norwegian, one Scottish, one Faroese and one Canadian), complemented and corroborated MLVA by pointing to a marked transatlantic divide in the species, with one main, relatively conserved, SGPV lineage as predominant in Europe. Within certain fjord systems and individual freshwater salmon smolt farms in Norway, however, discrete MLVA clustering patterns that prevailed over time were observed, likely reflecting local predominance of specific SGPV sub-lineages. MLVA typing was also used to refute two suspected instances of vertical SGPV transmission from salmon broodstock to offspring, and to confirm a failed disinfection attempt in one farm. These novel insights into the previously undocumented population structure of SGPV provide important clues, e.g., regarding the mechanisms underlying spread and recurrence of the virus amongst wild and farmed salmon populations, but so far no indications of more or less virulent SGPV sub-lineages have been found. The MLVA scheme represents a highly sensitive genotyping tool particularly well suited for illuminating SGPV infection routes, and adds to the relatively low number of MLVA protocols that have so far been published for viral species. Typing is reasonably inexpensive, with a moderate technological requirement, and may be completed within a single working day. Resulting MLVA profiles can be readily shared and compared across laboratories, facilitating rapid placement of samples in an international ezpizootiological context.
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Affiliation(s)
| | - Torstein Tengs
- Department of Molecular Biology, Norwegian Institute of Public Health, Oslo, Norway
| | | | | | | | | | | | | | - Brit Tørud
- Norwegian Veterinary Institute, Oslo, Norway
| | | | - Maria K Dahle
- Norwegian Veterinary Institute, Oslo, Norway.,The Norwegian College of Fishery Science, Faculty of Biosciences, Fisheries and Economics, UiT - The Arctic University of Norway, Tromsø, Norway
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Kislichkina AA, Platonov ME, Vagaiskaya AS, Bogun AG, Dentovskaya SV, Anisimov AP. Rational Taxonomy of Yersinia pestis. MOLECULAR GENETICS, MICROBIOLOGY AND VIROLOGY 2019. [DOI: 10.3103/s0891416819020058] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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11
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Phylogenetic Analysis of Yersinia pestis Strains of Medieval Biovar, Isolated in Precaspian North-Western Steppe Plague Focus in the XX Century. PROBLEMS OF PARTICULARLY DANGEROUS INFECTIONS 2019. [DOI: 10.21055/0370-1069-2019-2-55-61] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Objective of the study – comparative phylogenetic analysis of Yersinia pestis strains, isolated in Precaspian North-Western steppe focus in 1924–1926, 1972, and 1986–1990 to understand the causes of focal reactivation during different time periods of the XX century.Materials and methods. The work included 30 strains of Yersinia pestis from Precaspian North-Western steppe natural focus and adjacent plague foci. Whole genome sequencing of eight Y. pestis strains from the former was carried out. Also whole-genome sequences of 16 strains from neighboring natural foci were used. Whole-genome sequencing of Y. pestis strains was conducted in Ion PGM system (Life technologies). SNPs search across the core genome was performed using software package Wombac 2.0. Tree diagram Maximum Likelihood, HKU85 model, was constructed to analyze phylogenetic relations.Results and discussion. It is established that in early XX century (1924–1926), strains of phylogenetic branches 2.MED4 and 2.MED1, belonging to medieval biovar, main subspecies, circulated on Ergenin Upland in the Precaspian North-Western steppe natural focus. Later on they became extinct in the territory. It is shown that the strains, isolated on Ergenin Upland in 1972, constituted a common subcluster on the dendrogram with the strains from low-mountain and piedmont plague foci of Caucasus and Transcaucasia, dated the same time period. It was inferred that epizootic manifestations on Ergenin upland in 1972, after a long recess since 1938, were caused by importation of Y. pestis strains from low-mountain natural plague foci of Caucasus and Transcaucasia. It was noted that expansion of Caucasian strains was of short-term character, and plague infected animals have not been found on Ergenin Upland since 1974 (including modern period). It is established that Y. pestis strains isolated in the eastern part of Precaspian North-Western steppe focus between 1986 and 1990, do not have close genetic relation to the strains that circulated on Ergenin Upland in 1924–1926 and 1972. It is determined that each epizootic period (1913–1938 and 1972–1973) in Precaspian North-Western steppe natural focus culminated in the elimination of the circulating Y. pestis strains and rehabilitation of the focal territory.
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12
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Sun Z, Xu L, Schmid BV, Dean KR, Zhang Z, Xie Y, Fang X, Wang S, Liu Q, Lyu B, Wan X, Xu J, Stenseth NC, Xu B. Human plague system associated with rodent diversity and other environmental factors. ROYAL SOCIETY OPEN SCIENCE 2019; 6:190216. [PMID: 31312490 PMCID: PMC6599787 DOI: 10.1098/rsos.190216] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 05/21/2019] [Indexed: 05/17/2023]
Abstract
Plague remains a threat to public health and is considered as a re-emerging infectious disease today. Rodents play an important role as major hosts in plague persistence and driving plague outbreaks in natural foci; however, few studies have tested the association between host diversity in ecosystems and human plague risk. Here we use zero-inflated generalized additive models to examine the association of species richness with human plague presence (where plague outbreaks could occur) and intensity (the average number of annual human cases when they occurred) in China during the Third Pandemic. We also account for transportation network density, annual precipitation levels and human population size. We found rodent species richness, particularly of rodent plague hosts, is positively associated with the presence of human plague. Further investigation shows that species richness of both wild and commensal rodent plague hosts are positively correlated with the presence, but only the latter correlated with the intensity. Our results indicated a positive relationship between rodent diversity and human plague, which may provide suggestions for the plague surveillance system.
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Affiliation(s)
- Zhe Sun
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, N-0316 Oslo, Norway
- Joint Center for Global Change Studies, Beijing 100875, People's Republic of China
| | - Lei Xu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, N-0316 Oslo, Norway
- Joint Center for Global Change Studies, Beijing 100875, People's Republic of China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, People's Republic of China
| | - Boris V. Schmid
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, N-0316 Oslo, Norway
| | - Katharine R. Dean
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, N-0316 Oslo, Norway
| | - Zhibin Zhang
- State Key Laboratory of Integrated Management on Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, People's Republic of China
| | - Yan Xie
- State Key Laboratory of Integrated Management on Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, People's Republic of China
| | - Xiye Fang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, People's Republic of China
| | - Shuchun Wang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, People's Republic of China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, People's Republic of China
| | - Baolei Lyu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
| | - Xinru Wan
- State Key Laboratory of Integrated Management on Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, People's Republic of China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing 102206, People's Republic of China
| | - Nils Chr. Stenseth
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, N-0316 Oslo, Norway
- Joint Center for Global Change Studies, Beijing 100875, People's Republic of China
| | - Bing Xu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
- Joint Center for Global Change Studies, Beijing 100875, People's Republic of China
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13
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Nakato GV, Fuentes Rojas JL, Verniere C, Blondin L, Coutinho T, Mahuku G, Wicker E. A new Multi Locus Variable Number of Tandem Repeat Analysis Scheme for epidemiological surveillance of Xanthomonas vasicola pv. musacearum, the plant pathogen causing bacterial wilt on banana and enset. PLoS One 2019; 14:e0215090. [PMID: 30973888 PMCID: PMC6459536 DOI: 10.1371/journal.pone.0215090] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 03/26/2019] [Indexed: 11/25/2022] Open
Abstract
Xanthomonas vasicola pv. musacearum (Xvm) which causes Xanthomonas wilt (XW) on banana (Musa accuminata x balbisiana) and enset (Ensete ventricosum), is closely related to the species Xanthomonas vasicola that contains the pathovars vasculorum (Xvv) and holcicola (Xvh), respectively pathogenic to sugarcane and sorghum. Xvm is considered a monomorphic bacterium whose intra-pathovar diversity remains poorly understood. With the sudden emergence of Xvm within east and central Africa coupled with the unknown origin of one of the two sublineages suggested for Xvm, attention has shifted to adapting technologies that focus on identifying the origin and distribution of the genetic diversity within this pathogen. Although microbiological and conventional molecular diagnostics have been useful in pathogen identification. Recent advances have ushered in an era of genomic epidemiology that aids in characterizing monomorphic pathogens. To unravel the origin and pathways of the recent emergence of XW in Eastern and Central Africa, there was a need for a genotyping tool adapted for molecular epidemiology. Multi-Locus Variable Number of Tandem Repeat Analysis (MLVA) is able to resolve the evolutionary patterns and invasion routes of a pathogen. In this study, we identified microsatellite loci from nine published Xvm genome sequences. Of the 36 detected microsatellite loci, 21 were selected for primer design and 19 determined to be highly typeable, specific, reproducible and polymorphic with two- to four- alleles per locus on a sub-collection. The 19 markers were multiplexed and applied to genotype 335 Xvm strains isolated from seven countries over several years. The microsatellite markers grouped the Xvm collection into three clusters; with two similar to the SNP-based sublineages 1 and 2 and a new cluster 3, revealing an unknown diversity in Ethiopia. Five of the 19 markers had alleles present in both Xvm and Xanthomonas vasicola pathovars holcicola and vasculorum, supporting the phylogenetic closeliness of these three pathovars. Thank to the public availability of the haplotypes on the MLVABank database, this highly reliable and polymorphic genotyping tool can be further used in a transnational surveillance network to monitor the spread and evolution of XW throughout Africa.. It will inform and guide management of Xvm both in banana-based and enset-based cropping systems. Due to the suitability of MLVA-19 markers for population genetic analyses, this genotyping tool will also be used in future microevolution studies.
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Affiliation(s)
- Gloria Valentine Nakato
- IITA, Kampala, Uganda
- Department of Biochemistry, Genetics and Microbiology, Centre for Microbial Ecology and Genomics/Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
| | | | | | | | - Teresa Coutinho
- Department of Biochemistry, Genetics and Microbiology, Centre for Microbial Ecology and Genomics/Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
| | | | - Emmanuel Wicker
- UMR IPME, Univ Montpellier, CIRAD, IRD, Montpellier, France
- CIRAD, UMR IPME, Montpellier, France
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14
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Virome profiling of rodents in Xinjiang Uygur Autonomous Region, China: Isolation and characterization of a new strain of Wenzhou virus. Virology 2019; 529:122-134. [PMID: 30685659 DOI: 10.1016/j.virol.2019.01.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 01/09/2019] [Accepted: 01/09/2019] [Indexed: 11/21/2022]
Abstract
Rodents, as the most diverse and widest distributed mammals, are a natural reservoir of many zoonotic viruses. However, little is known about the viral diversity harbored by rodents in China. Here we performed viral metagenomic analyses of 314 wild rodents covering 7 species, sampled in North-western China. We also conducted a systematic virological characterization of a new Wenzhou virus (WENV) isolate, QARn1, from a brown rat (Rattus norvegicus). Full genomic and phylogenetic analyses showed that QARn1 is a previously unidentified strain of Wenzhou mammarenavirus and forms a new branch within the Asian clade. Experimental infection of Sprague-Dawley rats with QARn1 did not present overt pathology, but specific humoral immune responses developed and mild hemorrhage and immunocyte infiltration of the lungs and thymus were observed. These observations have expanded the geographic distribution of WENV to Central Asia, and further confirm that brown rats are natural hosts of Wenzhou virus.
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15
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Nikiforov KA, Morozov OA, Nosov NY, Kukleva LM, Yeroshenko GA, Kutyrev VV. Population Structure, Taxonomy, and Genetic Features of Yersinia pestis Strains of the Central Asian Subspecies. RUSS J GENET+ 2018. [DOI: 10.1134/s1022795418100101] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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16
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Suntsov VV. Quantum Speciation of Yersinia pestis Plague Microbe in a Heteroimmune Environment: In the Populations of Hibernating Tarbagan Marmots (Marmota sibirica). CONTEMP PROBL ECOL+ 2018. [DOI: 10.1134/s199542551804008x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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17
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Genetic diversity and spatial-temporal distribution of Yersinia pestis in Qinghai Plateau, China. PLoS Negl Trop Dis 2018; 12:e0006579. [PMID: 29939993 PMCID: PMC6034908 DOI: 10.1371/journal.pntd.0006579] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 07/06/2018] [Accepted: 06/04/2018] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Plague, caused by the bacterium Yersinia pestis, is a highly infectious, zoonotic disease. Hundreds of human plague cases are reported across the world annually. Qinghai Plateau is one of the most severely affected plague regions in China, with more than 240 fatal cases of Y. pestis in the last 60 years. Conventional epidemiologic analysis has effectively guided the prevention and control of local plague transmission; however, molecular genetic analysis is more effective for investigating population diversity and transmission. In this report, we employed different genetic markers to analyze the population structure of Y. pestis in Qinghai Plateau. METHODOLOGY/PRINCIPAL FINDING We employed a two-step hierarchical strategy to analyze the phylogeny of 102 Qinghai Plateau isolates of Y. pestis, collected between 1954 and 2011. First, we defined the genealogy of Y. pestis by constructed minimum spanning tree based on 25 key SNPs. Seven groups were identified, with group 1.IN2 being identified as the dominant population. Second, two methods, MLVA and CRISPR, were applied to examine the phylogenetic detail of group 1.IN2, which was further divided into three subgroups. Subgroups of 1.IN2 revealed a clear geographic cluster, possibly associated with interaction between bacteriophage and Y. pestis. More recently, Y. pestis populations appear to have shifted from the east toward the center and west of Qinghai Plateau. This shift could be related to destruction of the local niche of the original plague focus through human activities. Additionally, we found that the abundance and relative proportion of 1.IN2 subgroups varied by decade and might be responsible for the fluctuations of plague epidemics in Qinghai Plateau. CONCLUSION/SIGNIFICANCE Molecular genotyping methods provided us with detailed information on population diversity and the spatial-temporal distribution of dominant populations of Y. pestis, which will facilitate future surveillance, prevention, and control of plague in Qinghai Plateau.
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18
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Shi L, Yang G, Zhang Z, Xia L, Liang Y, Tan H, He J, Xu J, Song Z, Li W, Wang P. Reemergence of human plague in Yunnan, China in 2016. PLoS One 2018; 13:e0198067. [PMID: 29897940 PMCID: PMC5999221 DOI: 10.1371/journal.pone.0198067] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2017] [Accepted: 04/11/2018] [Indexed: 01/15/2023] Open
Abstract
The third plague pandemic originated from Yunnan Province, China in the middle of the 19th century. The last human plague epidemic in Yunnan occurred from 1986-2005. On June 6, 2016, a case of human plague was reported in the Xishuangbanna Prefecture, Yunnan. The patient suffered from primary septicemic plague after exposure to a dead house rat (Rattus flavipectus), which has been identified as the main plague reservoir in the local epizootic area. Moreover, a retrospective investigation identified another bubonic plague case in this area. Based on these data, human plague reemerged after a silent period of ten years. In this study, three molecular typing methods, including a clustered regularly interspaced short palindromic repeats (CRISPR) analysis, different region analysis (DFR), and multiple-locus variable number of tandem repeats analysis (MLVA), were used to illustrate the molecular characteristics of Yersinia pestis (Y. pestis) strains isolated in Yunnan. The DFR profiles of the strains isolated in Yunnan in 2016 were the same as the strains that had previously been isolated in this Rattus flavipectus plague focus. The c3 spacer present in the previously isolated strains was absent in the spacer arrays of the Ypc CRISPR loci of the strains isolated in 2016. The MLVA analysis using MLVA (14+12) showed that the strains isolated from the human plague case and host animal plague infection in 2016 in Yunnan displayed different molecular patterns than the strains that had previously been isolated from Yunnan and adjacent provinces.
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Affiliation(s)
- Liyuan Shi
- Yunnan Institute for Endemic Disease Control and Prevention, Yunnan, China
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan, China
| | - Guirong Yang
- Yunnan Institute for Endemic Disease Control and Prevention, Yunnan, China
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan, China
| | - Zhikai Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease control and Prevention, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Zhejiang, China
| | - Lianxu Xia
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease control and Prevention, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Zhejiang, China
| | - Ying Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease control and Prevention, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Zhejiang, China
| | - Hongli Tan
- Yunnan Institute for Endemic Disease Control and Prevention, Yunnan, China
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan, China
| | - Jinrong He
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease control and Prevention, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Zhejiang, China
| | - Jianguo Xu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease control and Prevention, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Zhejiang, China
| | - Zhizhong Song
- Yunnan Institute for Endemic Disease Control and Prevention, Yunnan, China
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan, China
| | - Wei Li
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease control and Prevention, Changping, Beijing, China
- State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Zhejiang, China
| | - Peng Wang
- Yunnan Institute for Endemic Disease Control and Prevention, Yunnan, China
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan, China
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Kutyrev VV, Eroshenko GA, Motin VL, Nosov NY, Krasnov JM, Kukleva LM, Nikiforov KA, Al’khova ZV, Oglodin EG, Guseva NP. Phylogeny and Classification of Yersinia pestis Through the Lens of Strains From the Plague Foci of Commonwealth of Independent States. Front Microbiol 2018; 9:1106. [PMID: 29887859 PMCID: PMC5980970 DOI: 10.3389/fmicb.2018.01106] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 05/08/2018] [Indexed: 12/21/2022] Open
Abstract
The established phylogeny of the etiological agent of plague, Yersinia pestis, is not perfect, as it does not take into account the strains from numerous natural foci of Commonwealth of Independent States (CIS). We have carried out PCR and SNP typing of 359 strains and whole genome sequencing of 51 strains from these plague foci and determined the phylogenetic diversity of the strains circulating here. They belong to 0.ANT3, 0.ANT5, 2.ANT3, 4.ANT branches of antique biovar, 2.MED0, 2.MED1 branches of medieval biovar and to 0.PE2, 0.PE4a. 0.PE4h, 0.PE4t branches. Based on the studies of 178 strains from 23 plague foci of CIS countries, it was determined that the population structure of 2.MED strains is subdivided into Caucasian-Caspian and Central Asian-Chinese branches. In Central-Caucasian high-mountain plague foci in the Russian Federation (RF) the most deeply diverged branch of medieval biovar, 2.MED0, has been found. With the data obtained, the current population structure of Y. pestis species has been refined. New subspecies classification is developed, comprising seven subspecies: pestis, caucasica (0.PE2), angolica (0.PE3), central asiatica (0.PE4), tibetica (0.PE7), ulegeica (0.PE5), and qinghaica (0.PE10).
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Affiliation(s)
- Vladimir V. Kutyrev
- Russian Research Anti-Plague Institute “Microbe”, Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare, Saratov, Russia
| | - Galina A. Eroshenko
- Russian Research Anti-Plague Institute “Microbe”, Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare, Saratov, Russia
| | - Vladimir L. Motin
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, United States
| | - Nikita Y. Nosov
- Russian Research Anti-Plague Institute “Microbe”, Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare, Saratov, Russia
| | - Jaroslav M. Krasnov
- Russian Research Anti-Plague Institute “Microbe”, Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare, Saratov, Russia
| | - Lyubov M. Kukleva
- Russian Research Anti-Plague Institute “Microbe”, Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare, Saratov, Russia
| | - Konstantin A. Nikiforov
- Russian Research Anti-Plague Institute “Microbe”, Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare, Saratov, Russia
| | - Zhanna V. Al’khova
- Russian Research Anti-Plague Institute “Microbe”, Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare, Saratov, Russia
| | - Eugene G. Oglodin
- Russian Research Anti-Plague Institute “Microbe”, Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare, Saratov, Russia
| | - Natalia P. Guseva
- Russian Research Anti-Plague Institute “Microbe”, Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare, Saratov, Russia
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Wang P, Shi L, Zhang F, Guo Y, Zhang Z, Tan H, Cui Z, Ding Y, Liang Y, Liang Y, Yu D, Xu J, Li W, Song Z. Ten years of surveillance of the Yulong plague focus in China and the molecular typing and source tracing of the isolates. PLoS Negl Trop Dis 2018; 12:e0006352. [PMID: 29601573 PMCID: PMC5895057 DOI: 10.1371/journal.pntd.0006352] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 04/11/2018] [Accepted: 02/27/2018] [Indexed: 01/27/2023] Open
Abstract
Plague, caused by Yersinia pestis, was classified as a reemerging infectious disease by the World Health Organization. The five human pneumonic plague cases in Yulong County in 2005 gave rise to the discovery of a Yulong plague focus in Yunnan province, China. Thereafter, continuous wild rodent plague (sylvatic plague) was identified as the main plague reservoir of this focus. In this study, the epizootics in Yulong focus were described, and three molecular typing methods, including the different region (DFR) analysis, clustered regularly interspaced short palindromic repeats (CRISPRs), and the multiple-locus variable number of tandem repeats (VNTR) analysis (MLVA) (14+12), were used for the molecular typing and source tracing of Y. pestis isolates in the Yulong plague focus. Simultaneously, several isolates from the vicinity of Yunnan were used as controls. The results showed that during the 10-year period from 2006 to 2016, an animal plague epidemic occurred in 6 of those years, and 5 villages underwent an animal plague epidemic within a 30-km2 area of the Yulong plague focus. Searching for dead mice was the most effective monitoring method in this plague focus. No positive sample has been found in 6937 captured live rodents thus far, suggesting that the virulence of strains in the Yulong plague focus is stronger and the survival time of mice is shorter after infection. Strains from Lijiang, Sichuan and Tibet were of the same complex based on a typing analysis of DFR and CRISPR. The genetic relationship of Y. pestis illustrated by MLVA “14+12” demonstrates that Tibet and Sichuan strains evolved from the strains 1.IN2 (Qinghai, 1970 and Tibet, 1976), and Lijiang strains are closer to Batang strains (Batang County in Sichuan province, 2011, Himalaya marmot plague foci) in terms of genetic or phylogenic relationships. In conclusion, we have a deeper understanding of this new plague focus throughout this study, which provides a basis for effective prevention and control. Plague is a type of zoonosis that is highly lethal to humans. The surveillance of animal hosts is critical for the prevention and control of plague. The Yulong plague focus is a newly discovered plague focus in China in recent years. The plague outbreak had attracted widespread attention because 5 people were infected in 2005, 2 of whom died. We have monitored the plague focus for a decade, and isolated strains and DNAs of Yersinia pestis were studied. The structure, origin and evolutionary trend of the Yulong plague focus were clarified, which provides a scientific basis for the effective prevention and control of human plague. This article also provides a set of paradigms for the systematic study of new plague foci, which is a perfect combination of traditional monitoring methods and modern research methods.
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Affiliation(s)
- Peng Wang
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali city of Yunnan province, China
| | - Liyuan Shi
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali city of Yunnan province, China
| | - Fuxin Zhang
- Lijiang Center for Disease Control and Prevention, Lijiang City of Yunnan province, China
| | - Ying Guo
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali city of Yunnan province, China
| | - Zhikai Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
| | - Hongli Tan
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali city of Yunnan province, China
| | - Zhigang Cui
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
| | - Yibo Ding
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali city of Yunnan province, China
| | - Ying Liang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
| | - Yun Liang
- Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali city of Yunnan province, China
| | - Dongzheng Yu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
| | - Jianguo Xu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Changping, Beijing, China
| | - Wei Li
- Lijiang Center for Disease Control and Prevention, Lijiang City of Yunnan province, China
- * E-mail: (WL); (ZS)
| | - Zhizhong Song
- Yunnan Center for Disease Control and Prevention, Kunming City of Yunnan province, China
- * E-mail: (WL); (ZS)
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21
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Nyirenda SS, Hang Ombe BM, Simulundu E, Mulenga E, Moonga L, Machang U RS, Misinzo G, Kilonzo BS. Molecular epidemiological investigations of plague in Eastern Province of Zambia. BMC Microbiol 2018; 18:2. [PMID: 29433443 PMCID: PMC5810007 DOI: 10.1186/s12866-017-1146-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 12/21/2017] [Indexed: 12/01/2022] Open
Abstract
Background Plague is a flea-borne zoonotic and invasive disease caused by a gram negative coccobacillus bacterium called Yersinia pestis. Plague has caused three devastating pandemics globally namely: the Justinian, Black Death and Oriental plague. The disease in the Eastern Province of Zambia has been reported in Nyimba and Sinda Districts in the past 15 years. The aim of this study was to investigate the molecular epidemiology of plague in the two affected districts. Polymerase Chain Reaction (PCR), targeting Plasminogen activator gene (pla gene) of Y. pestis, was performed on suspected human bubo aspirates (n = 7), rodents (n = 216), shrews (n = 27) and fleas (n = 1494). Of these, one positive sample from each source or host was subjected to sequencing followed by phylogenetic analysis. Results The plasminogen activator gene (pla gene) of Y. pestis was detected in 42.8% bubo aspirates, 6.9% rodents, 3.7% shrew and 0.8% fleas. The fleas were from pigs (n = 4), goats (n = 5) and rodents (n = 3). The sequencing and phylogenetic analysis suggested that the pla gene of Y. pestis in Nyimba and Sinda was similar and the isolates demonstrated a high degree of evolutionary relationship with Antiqua strains from the Republic of Congo and Kenya. Conclusion It can be concluded that pla gene of Y. pestis was present in various hosts in the two districts and the strains circulating in each district were similar and resembles those in the Republic of Congo and Kenya. Electronic supplementary material The online version of this article (10.1186/s12866-017-1146-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Stanley S Nyirenda
- Central Veterinary Research Institute, P.O. BOX 33980, Balmoral, Lusaka, Zambia. .,Department of Microbiology, Parasitology and Biotechnology, Sokoine University of Agriculture, Morogoro, Tanzania.
| | - Bernard M Hang Ombe
- Department of Paraclinical Studies, School of Veterinary Medicine, The University of Zambia, Lusaka, Zambia
| | - Edgar Simulundu
- Department of Disease Control, School of Veterinary Medicine, The University of Zambia, Lusaka, Zambia
| | - Evans Mulenga
- Department of Paraclinical Studies, School of Veterinary Medicine, The University of Zambia, Lusaka, Zambia
| | - Ladslav Moonga
- Department of Paraclinical Studies, School of Veterinary Medicine, The University of Zambia, Lusaka, Zambia
| | - Robert S Machang U
- Department of Microbiology, Parasitology and Biotechnology, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Gerald Misinzo
- Department of Microbiology, Parasitology and Biotechnology, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Bukheti S Kilonzo
- Pest Management Centre, Sokoine University of Agriculture, Morogoro, Tanzania
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22
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Zhang Y, Luo T, Yang C, Yue X, Guo R, Wang X, Buren M, Song Y, Yang R, Cao H, Cui Y, Dai X. Phenotypic and Molecular Genetic Characteristics of Yersinia pestis at an Emerging Natural Plague Focus, Junggar Basin, China. Am J Trop Med Hyg 2018; 98:231-237. [PMID: 29141705 DOI: 10.4269/ajtmh.17-0195] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
The 15th natural plague focus in China, the Junggar Basin plague focus, is located near an important communication route connecting China and Central Asia and was discovered after 2005. To characterize the phenotypic and genetic diversity of the Yersinia pestis population in this newly established focus, we collected 25 Y. pestis strains from six counties across Junggar Basin in 2005-2006, and determined their biochemical features and genotypes based on multiple-locus variable number of tandem repeats analysis and clustered regularly interspaced short palindromic repeats analysis. We inferred the phylogenetic positions and possible sources of the Junggar strains by comparing their genotypes with the genetic diversity for known representative Y. pestis strains. Our results indicate that the major genotype of Junggar strains belongs to 2.MED1, a lineage of biovar Medievalis with identical biochemical characters and high virulence in mice. Although share a similar ecology, the 2.MED1 in Junggar Basin are not descended from known strains in the neighboring Central Asian Desert plague foci. Therefore, the emergence of the Junggar Basin plague focus is not attributable to the recent clonal spread of Y. pestis from Central Asia. We also identified two distinct minor genotypes in Junggar Basin, one of which clusters genetically with the 0.ANT1 strains of the Tianshan Mountain natural plague focus and another belongs to a 1.IN lineage not previously reported. Our study clarifies the phenotypic and genetic characters of Junggar Y. pestis strains. These findings extend our knowledge of the population diversity of Y. pestis and will facilitate future plague surveillance and prevention in Junggar Basin and adjacent regions.
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Affiliation(s)
- Yujiang Zhang
- The Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, P. R. China
| | - Tao Luo
- The Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, P. R. China
| | - Chao Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
| | - Xihong Yue
- The Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, P. R. China
| | - Rong Guo
- The Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, P. R. China
| | - Xinhui Wang
- The Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, P. R. China
| | - Mingde Buren
- The Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, P. R. China
| | - Yuqin Song
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
| | - Hanli Cao
- The Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, P. R. China
| | - Yujun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P. R. China
| | - Xiang Dai
- The Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, P. R. China
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Kislichkina AA, Kadnikova LA, Platonov ME, Maiskaya NV, Kolombet LV, Solomentsev VI, Bogun AG, Anisimov AP. Differentiation of Yersinia pseudotuberculosis, Yersinia pestis subsp. pestis and subsp. microti strains and other representatives of Yersinia pseudotuberculosis complex. MOLECULAR GENETICS, MICROBIOLOGY AND VIROLOGY 2017. [DOI: 10.3103/s0891416817020070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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24
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Timofeev V, Bakhteeva I, Titareva G, Kopylov P, Christiany D, Mokrievich A, Dyatlov I, Vergnaud G. Russian isolates enlarge the known geographic diversity of Francisella tularensis subsp. mediasiatica. PLoS One 2017; 12:e0183714. [PMID: 28873421 PMCID: PMC5584958 DOI: 10.1371/journal.pone.0183714] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 08/09/2017] [Indexed: 11/18/2022] Open
Abstract
Francisella tularensis, a small Gram-negative bacterium, is capable of infecting a wide range of animals, including humans, and causes a plague-like disease called tularemia—a highly contagious disease with a high mortality rate. Because of these characteristics, F. tularensis is considered a potential agent of biological terrorism. Currently, F. tularensis is divided into four subspecies, which differ in their virulence and geographic distribution. Two of them, subsp. tularensis (primarily found in North America) and subsp. holarctica (widespread across the Northern Hemisphere), are responsible for tularemia in humans. Subsp. novicida is almost avirulent in humans. The fourth subspecies, subsp. mediasiatica, is the least studied because of its limited distribution and impact in human health. It is found only in sparsely populated regions of Central Asia. In this report, we describe the first focus of naturally circulating F. tularensis subsp. mediasiatica in Russia. We isolated and characterized 18 strains of this subspecies in the Altai region. All strains were highly virulent in mice. The virulence of subsp. mediasiatica in a vaccinated mouse model is intermediate between that of subsp. tularensis and subsp. holarctica. Based on a multiple-locus variable number tandem repeat analysis (MLVA), we show that the Altaic population of F. tularensis subsp. mediasiatica is genetically distinct from the classical Central Asian population, and probably is endemic to Southern Siberia. We propose to subdivide the mediasiatica subspecies into three phylogeographic groups, M.I, M.II and M.III.
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Affiliation(s)
- Vitalii Timofeev
- State Research Center for Applied Microbiology and Biotechnology (SRCAMB), Obolensk, Moscow Region, Russia
- * E-mail: (VT); (GV)
| | - Irina Bakhteeva
- State Research Center for Applied Microbiology and Biotechnology (SRCAMB), Obolensk, Moscow Region, Russia
| | - Galina Titareva
- State Research Center for Applied Microbiology and Biotechnology (SRCAMB), Obolensk, Moscow Region, Russia
| | - Pavel Kopylov
- State Research Center for Applied Microbiology and Biotechnology (SRCAMB), Obolensk, Moscow Region, Russia
| | - David Christiany
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette cedex, France
| | - Alexander Mokrievich
- State Research Center for Applied Microbiology and Biotechnology (SRCAMB), Obolensk, Moscow Region, Russia
| | - Ivan Dyatlov
- State Research Center for Applied Microbiology and Biotechnology (SRCAMB), Obolensk, Moscow Region, Russia
| | - Gilles Vergnaud
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette cedex, France
- * E-mail: (VT); (GV)
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25
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New Multilocus Variable-Number Tandem-Repeat Analysis (MLVA) Scheme for Fine-Scale Monitoring and Microevolution-Related Study of Ralstonia pseudosolanacearum Phylotype I Populations. Appl Environ Microbiol 2017; 83:AEM.03095-16. [PMID: 28003195 DOI: 10.1128/aem.03095-16] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 12/13/2016] [Indexed: 12/31/2022] Open
Abstract
Bacterial wilt caused by the Ralstonia solanacearum species complex (RSSC) is considered one of the most harmful plant diseases in the world. Special attention should be paid to R. pseudosolanacearum phylotype I due to its large host range, its worldwide distribution, and its high evolutionary potential. So far, the molecular epidemiology and population genetics of this bacterium are poorly understood. Until now, the genetic structure of the RSSC has been analyzed on the worldwide and regional scales. Emerging questions regarding evolutionary forces in RSSC adaptation to hosts now require genetic markers that are able to monitor RSSC field populations. In this study, we aimed to evaluate the multilocus variable-number tandem-repeat analysis (MLVA) approach for its ability to discriminate genetically close phylotype I strains and for population genetics studies. We developed a new MLVA scheme (MLVA-7) allowing us to genotype 580 R. pseudosolanacearum phylotype I strains extracted from susceptible and resistant hosts and from different habitats (stem, soil, and rhizosphere). Based on specificity, polymorphism, and the amplification success rate, we selected seven fast-evolving variable-number tandem-repeat (VNTR) markers. The newly developed MLVA-7 scheme showed higher discriminatory power than the previously published MLVA-13 scheme when applied to collections sampled from the same location on different dates and to collections from different locations on very small scales. Our study provides a valuable tool for fine-scale monitoring and microevolution-related study of R. pseudosolanacearum phylotype I populations.IMPORTANCE Understanding the evolutionary dynamics of adaptation of plant pathogens to new hosts or ecological niches has become a key point for the development of innovative disease management strategies, including durable resistance. Whereas the molecular mechanisms underlying virulence or pathogenicity changes have been studied thoroughly, the population genetics of plant pathogen adaptation remains an open, unexplored field, especially for plant-pathogenic bacteria. MLVA has become increasingly popular for epidemiosurveillance and molecular epidemiology studies of plant pathogens. However, this method has been used mostly for genotyping and identification on a regional or global scale. In this study, we developed a new MLVA scheme, targeting phylotype I of the soilborne Ralstonia solanacearum species complex (RSSC), specifically to address the bacterial population genetics on the field scale. Such a MLVA scheme, based on fast-evolving loci, may be a tool of choice for field experimental evolution and spatial genetics studies.
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Hashemi Shahraki A, Carniel E, Mostafavi E. Plague in Iran: its history and current status. Epidemiol Health 2016; 38:e2016033. [PMID: 27457063 PMCID: PMC5037359 DOI: 10.4178/epih.e2016033] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2016] [Accepted: 07/24/2016] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVES: Plague remains a public health concern worldwide, particularly in old foci. Multiple epidemics of this disease have been recorded throughout the history of Iran. Despite the long-standing history of human plague in Iran, it remains difficult to obtain an accurate overview of the history and current status of plague in Iran. METHODS: In this review, available data and reports on cases and outbreaks of human plague in the past and present in Iran and in neighboring countries were collected, and information was compiled regarding when, where, and how many cases occurred. RESULTS: This paper considers the history of plague in Persia (the predecessor of today’s Iran) and has a brief review of plague in countries in the World Health Organization Eastern Mediterranean Region, including a range of countries in the Middle East and North Africa. CONCLUSIONS: Since Iran has experienced outbreaks of plague for several centuries, neighboring countries have reported the disease in recent years, the disease can be silent for decades, and the circulation of Yersinia pestis has been reported among rodents and dogs in western Iran, more attention should be paid to disease monitoring in areas with previously reported human cases and in high-risk regions with previous epizootic and enzootic activity.
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Affiliation(s)
- Abdolrazagh Hashemi Shahraki
- Department of Epidemiology, Pasteur Institute of Iran, Tehran, Iran.,National Reference Laboratory for Plague, Tularemia, and Q fever, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Akanlu, Kabudar-Ahang, Hamadan, Iran
| | - Elizabeth Carniel
- Yersinia Research Unit, National Reference Laboratory, Institut Pasteur, Paris, France
| | - Ehsan Mostafavi
- Department of Epidemiology, Pasteur Institute of Iran, Tehran, Iran.,National Reference Laboratory for Plague, Tularemia, and Q fever, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Akanlu, Kabudar-Ahang, Hamadan, Iran
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27
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Two Distinct Yersinia pestis Populations Causing Plague among Humans in the West Nile Region of Uganda. PLoS Negl Trop Dis 2016; 10:e0004360. [PMID: 26866815 PMCID: PMC4750964 DOI: 10.1371/journal.pntd.0004360] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 12/14/2015] [Indexed: 01/14/2023] Open
Abstract
Background Plague is a life-threatening disease caused by the bacterium, Yersinia pestis. Since the 1990s, Africa has accounted for the majority of reported human cases. In Uganda, plague cases occur in the West Nile region, near the border with Democratic Republic of Congo. Despite the ongoing risk of contracting plague in this region, little is known about Y. pestis genotypes causing human disease. Methodology/Principal Findings During January 2004–December 2012, 1,092 suspect human plague cases were recorded in the West Nile region of Uganda. Sixty-one cases were culture-confirmed. Recovered Y. pestis isolates were analyzed using three typing methods, single nucleotide polymorphisms (SNPs), pulsed field gel electrophoresis (PFGE), and multiple variable number of tandem repeat analysis (MLVA) and subpopulations analyzed in the context of associated geographic, temporal, and clinical data for source patients. All three methods separated the 61 isolates into two distinct 1.ANT lineages, which persisted throughout the 9 year period and were associated with differences in elevation and geographic distribution. Conclusions/Significance We demonstrate that human cases of plague in the West Nile region of Uganda are caused by two distinct 1.ANT genetic subpopulations. Notably, all three typing methods used, SNPs, PFGE, and MLVA, identified the two genetic subpopulations, despite recognizing different mutation types in the Y. pestis genome. The geographic and elevation differences between the two subpopulations is suggestive of their maintenance in highly localized enzootic cycles, potentially with differing vector-host community composition. This improved understanding of Y. pestis subpopulations in the West Nile region will be useful for identifying ecologic and environmental factors associated with elevated plague risk. Plague, a severe and often fatal zoonotic disease, is caused by the bacterium Yersinia pestis. Currently, the majority of human cases have been reported from resource limited areas of Africa, where the proximity to commensal rats and other small mammals increases the likelihood for human contact with infected animals or their fleas. Over a 9 year time period, >1000 suspect cases were recorded in the West Nile region of Uganda within the districts of Arua and Zombo. Culture-confirmed cases were shown by three independent typing methods to be due to two distinct 1.ANT genetic subpopulations of Y. pestis. The two genetic subpopulations persisted throughout the 9 year time period, consistent with their ongoing maintenance in local enzootic cycles. Additionally, the two subpopulations were found to differ with respect to geographic location and elevation, with SNP Group 1 strains being found further north and at lower elevations as compared to SNP Group 2. The relative independence of the two Y. pestis subpopulations is suggestive of their maintenance in distinct foci involving enzootic cycles with differing vector-host community composition.
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Qi Z, Cui Y, Zhang Q, Yang R. Taxonomy of Yersinia pestis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2016; 918:35-78. [PMID: 27722860 DOI: 10.1007/978-94-024-0890-4_3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
This chapter summarized the taxonomy and typing works of Yersinia pestis since it's firstly identified in Hong Kong in 1894. Phenotyping methods that based on phenotypic characteristics, including biotyping, serotyping, antibiogram analysis, bacteriocin typing, phage typing, and plasmid typing, were firstly applied in classification of Y. pestis in subspecies level. And then, with the advancement of molecular biological technology, the methods based on outer membrane protein profiles, fatty acid composition, and bacterial mass fingerprinting were also used to identify the populations within Y. pestis. However, Y. pestis is a highly homogenous species; therefore, the above typing methods could only provide low resolution, e.g., only one serotype and one phage type were observed for the whole species. Since the 1990s, molecular typing based on DNA variations, including single-nucleotide polymorphism, gene gain/loss, variable-number tandem repeats, clustered regularly interspaced short palindromic repeat, etc., was introduced and improved the resolution and robust of typing result. Especially in recent years, genotyping-based whole-genome-wide variations were successfully employed in Y. pestis, which built the "gold standard" of typing scheme of the species and could distinguish the samples under the strain level. The taxonomy and typing works leaved us enormous polymorphism data; therefore, a comprehensive fingerprint database of Y. pestis was needed to collect and standardize these data, for facilitating future works on evolution, plague surveillance and control, anti-bioterrorism, and microbial forensic researches.
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Affiliation(s)
- Zhizhen Qi
- Qinghai Provincial Key Laboratory for Plague Control and Research, Qinghai Institute for Endemic Disease Prevention and Control, Xining, Qinghai Province, 811602, China
| | - Yujun Cui
- Beijing Institute of Microbiology and Epidemiology, No. Dongdajie, Fengtai, Beijing, 100071, China
| | - Qingwen Zhang
- Qinghai Provincial Key Laboratory for Plague Control and Research, Qinghai Institute for Endemic Disease Prevention and Control, Xining, Qinghai Province, 811602, China
| | - Ruifu Yang
- Beijing Institute of Microbiology and Epidemiology, No. Dongdajie, Fengtai, Beijing, 100071, China.
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Abstract
This chapter summarizes researches on genome and evolution features of Yersinia pestis, the young pathogen that evolved from Y. pseudotuberculosis at least 5000 years ago. Y. pestis is a highly clonal bacterial species with closed pan-genome. Comparative genomic analysis revealed that genome of Y. pestis experienced highly frequent rearrangement and genome decay events during the evolution. The genealogy of Y. pestis includes five major branches, and four of them seemed raised from a "big bang" node that is associated with the Black Death. Although whole genome-wide variation of Y. pestis reflected a neutral evolutionary process, the branch length in the genealogical tree revealed over dispersion, which was supposedly caused by varied historical molecular clock that is associated with demographical effect by alternate cycles of enzootic disease and epizootic disease in sylvatic plague foci. In recent years, palaeomicrobiology researches on victims of the Black Death, and Justinian's plague verified that two historical pandemics were indeed caused by Y. pestis, but the etiological lineages might be extinct today.
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30
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Molecular Diagnostics: Huge Impact on the Improvement of Public Health in China. Mol Microbiol 2016. [DOI: 10.1128/9781555819071.ch21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Yang R, Cui Y, Bi Y. Perspectives on Yersinia pestis: A Model for Studying Zoonotic Pathogens. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2016; 918:377-391. [PMID: 27722871 DOI: 10.1007/978-94-024-0890-4_14] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Yersinia pestis is a typical zoonotic bacterial pathogen. The following reasons make this pathogen a model for studying zoonotic pathogens: (1) Its unique lifestyle makes Y. pestis an ideal model for studying host-vector-environment-pathogen interactions; (2) population diversity characters in Y. pestis render it a model species for studying monomorphic bacterial evolution; (3) the pathogenic features of bacteria provide us with good opportunities to study human immune responses; (4) typical animal and vector models of Y. pestis infection create opportunities for experimental studies on pathogenesis and evolution; and (5) repeated pandemics and local outbreaks provide us with clues about the infectious disease outbreaks that have occurred in human history.
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Affiliation(s)
- Ruifu Yang
- Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China.
| | - Yujun Cui
- Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China
| | - Yujing Bi
- Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China
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Vogler AJ, Keim P, Wagner DM. A review of methods for subtyping Yersinia pestis: From phenotypes to whole genome sequencing. INFECTION GENETICS AND EVOLUTION 2015; 37:21-36. [PMID: 26518910 DOI: 10.1016/j.meegid.2015.10.024] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Revised: 10/23/2015] [Accepted: 10/24/2015] [Indexed: 12/28/2022]
Abstract
Numerous subtyping methods have been applied to Yersinia pestis with varying success. Here, we review the various subtyping methods that have been applied to Y. pestis and their capacity for answering questions regarding the population genetics, phylogeography, and molecular epidemiology of this important human pathogen. Methods are evaluated in terms of expense, difficulty, transferability among laboratories, discriminatory power, usefulness for different study questions, and current applicability in light of the advent of whole genome sequencing.
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Affiliation(s)
- Amy J Vogler
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA.
| | - Paul Keim
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA; Translational Genomics Research Institute North, Flagstaff, AZ 86001, USA.
| | - David M Wagner
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA.
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Hauck Y, Soler C, Gérôme P, Vong R, Macnab C, Appere G, Vergnaud G, Pourcel C. A novel multiple locus variable number of tandem repeat (VNTR) analysis (MLVA) method for Propionibacterium acnes. INFECTION GENETICS AND EVOLUTION 2015; 33:233-41. [PMID: 25965840 DOI: 10.1016/j.meegid.2015.05.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Revised: 05/04/2015] [Accepted: 05/08/2015] [Indexed: 11/17/2022]
Abstract
Propionibacterium acnes plays a central role in the pathogenesis of acne and is responsible for severe opportunistic infections. Numerous typing schemes have been developed that allow the identification of phylotypes, but they are often insufficient to differentiate subtypes. To better understand the genetic diversity of this species and to perform epidemiological analyses, high throughput discriminant genotyping techniques are needed. Here we describe the development of a multiple locus variable number of tandem repeats (VNTR) analysis (MLVA) method. Thirteen VNTRs were identified in the genome of P. acnes and were used to genotype a collection of clinical isolates. In addition, publically available sequencing data for 102 genomes were analyzed in silico, providing an MLVA genotype. The clustering of MLVA data was in perfect congruence with whole genome based clustering. Analysis of the clustered regularly interspaced short palindromic repeat (CRISPR) element uncovered new spacers, a supplementary source of genotypic information. The present MLVA13 scheme and associated internet database represents a first line genotyping assay to investigate large number of isolates. Particular strains may then be submitted to full genome sequencing in order to better analyze their pathogenic potential.
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Affiliation(s)
- Yolande Hauck
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ Paris Sud, Université Paris-Saclay, 91405 Orsay cedex, France
| | - Charles Soler
- Laboratoire de biologie clinique, HIA Percy, Clamart, France
| | - Patrick Gérôme
- Service de biologie médicale, HIA Desgenettes, 69275 Lyon cedex 03, France
| | - Rithy Vong
- Laboratoire de biologie clinique, HIA Percy, Clamart, France
| | | | | | - Gilles Vergnaud
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ Paris Sud, Université Paris-Saclay, 91405 Orsay cedex, France; ENSTA ParisTech, Université Paris-Saclay, 91762 Palaiseau cedex, France
| | - Christine Pourcel
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ Paris Sud, Université Paris-Saclay, 91405 Orsay cedex, France.
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Transmission efficiency of the plague pathogen (Y. pestis) by the flea, Xenopsylla skrjabini, to mice and great gerbils. Parasit Vectors 2015; 8:256. [PMID: 25928441 PMCID: PMC4429828 DOI: 10.1186/s13071-015-0852-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Accepted: 04/10/2015] [Indexed: 11/30/2022] Open
Abstract
Background Plague, a zoonotic disease caused by Yersinia pestis, is characterized by its ability to persist in the plague natural foci. Junggar Basin plague focus was recently identified in China, with Rhombomys opimus (great gerbils) and Xenopsylla skrjabini as the main reservoir and vector for plague. No transmission efficiency data of X. skrjabini for Y. pestis is available till now. Methods In this study, we estimated the median infectious dose (ID50) and the blockage rates of X. skrjabini with Y. pestis, by using artificial feeders. We then evaluated the flea transmission ability of Y. pestis to the mice and great gerbils via artificial bloodmeal feeding. Finally, we investigated the transmission of Y. pestis to mice with fleas fed by infected great gerbils. Results ID50 of Y. pestis to X. skrjabini was estimated as 2.04 × 105 CFU (95% CI, 1.45 × 105 – 3.18 × 105 CFU), around 40 times higher than that of X. cheopis. Although fleas fed by higher bacteremia bloodmeal had higher infection rates for Y. pestis, they lived significantly shorter than their counterparts. X. skrjabini could get fully blocked as early as day 3 post of infection (7.1%, 3/42 fleas), and the overall blockage rate of X. cheopis was estimated as 14.9% (82/550 fleas) during the 14 days of investigation. For the fleas infected by artificial feeders, they seemed to transmit plague more efficiently to great gerbils than mice. Our single flea transmission experiments also revealed that, the transmission capacity of naturally infected fleas (fed by infected great gerbils) was significantly higher than that of artificially infected ones (fed by artificial feeders). Conclusion Our results indicated that ID50 of Y. pestis to X. skrjabini was higher than other fleas like X. cheopis, and its transmission efficiency to mice might be lower than other flea vectors in the artificial feeding modes. We also found different transmission potentials in the artificially infected fleas and the naturally infected ones. Further studies are needed to figure out the role of X. skrjabini in the plague epidemiological cycles in Junggar Basin plague focus. Electronic supplementary material The online version of this article (doi:10.1186/s13071-015-0852-z) contains supplementary material, which is available to authorized users.
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Platonov ME, Evseeva VV, Efremenko DV, Afanas’ev MV, Verzhutski DB, Kuznetsova IV, Shestopalov MY, Dentovskaya SV, Kulichenko AN, Balakhonov SV, Anisimov AP. Intraspecies classification of rhamnose-positive Yersinia pestis strains from natural plague foci of Mongolia. MOLECULAR GENETICS MICROBIOLOGY AND VIROLOGY 2015. [DOI: 10.3103/s0891416815010073] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Papadopoulou E, Gale N, Goodchild SA, Cleary DW, Weller SA, Brown T, Bartlett PN. Strain discrimination of Yersinia pestis using a SERS-based electrochemically driven melting curve analysis of variable number tandem repeat sequences. Chem Sci 2015; 6:1846-1852. [PMID: 29449917 PMCID: PMC5701729 DOI: 10.1039/c4sc03084b] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Accepted: 12/23/2014] [Indexed: 12/05/2022] Open
Abstract
Strain discrimination within genetically highly similar bacteria is critical for epidemiological studies and forensic applications. An electrochemically driven melting curve analysis monitored by SERS has been utilised to reliably discriminate strains of the bacterial pathogen Yersinia pestis, the causative agent of plague. DNA amplicons containing Variable Number Tandem Repeats (VNTRs) were generated from three strains of Y. pestis: CO92, Harbin 35 and Kim. These amplicons contained a 10 base pair VNTR repeated 6, 5, and 4 times in CO92, Harbin 35 and Kim respectively. The assay also included a blocker oligonucleotide comprising 3 repeats of the 10-mer VNTR sequence. The use of the blocker reduced the effective length of the target sequence available to bind to the surface bound probe and significantly improved the sensitivity of the discrimination. The results were consistent during three replicates that were carried out on different days, using different batches of PCR product and different SERS sphere segment void (SSV) substrate. This methodology which combines low cost, speed and sensitivity is a promising alternative to the time consuming current electrophoretic methods.
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Affiliation(s)
- E Papadopoulou
- Chemistry , University of Southampton , Highfield , Southampton SO17 1BJ , UK .
| | - N Gale
- ATDBio Ltd , Chemistry , University of Southampton , Highfield , Southampton SO17 1BJ , UK
| | - S A Goodchild
- DSTL , Wiltshire SP4 0JQ , Salisbury , Porton Down , UK
| | - D W Cleary
- DSTL , Wiltshire SP4 0JQ , Salisbury , Porton Down , UK
| | - S A Weller
- DSTL , Wiltshire SP4 0JQ , Salisbury , Porton Down , UK
| | - T Brown
- Department of Chemistry , University of Oxford , Chemistry Research Laboratory , Oxford OX1 3TA , UK
| | - P N Bartlett
- Chemistry , University of Southampton , Highfield , Southampton SO17 1BJ , UK .
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Yersinia pseudotuberculosis ST42 (O:1) Strain Misidentified as Yersinia pestis by Mass Spectrometry Analysis. GENOME ANNOUNCEMENTS 2014; 2:2/3/e00435-14. [PMID: 24926044 PMCID: PMC4056287 DOI: 10.1128/genomea.00435-14] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We report here the draft sequence of strain CEB14_0017, alias HIAD_DUP, recovered from a human patient and initially identified as Yersinia pestis by mass spectrometry analysis. Genotyping based on tandem repeat polymorphism assigned the strain to Yersinia pseudotuberculosis sequence type 42 (ST42). The total assembly length is 4,894,739 bp.
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Yan Y, Wang H, Li D, Yang X, Wang Z, Qi Z, Zhang Q, Cui B, Guo Z, Yu C, Wang J, Wang J, Liu G, Song Y, Li Y, Cui Y, Yang R. Two-step source tracing strategy of Yersinia pestis and its historical epidemiology in a specific region. PLoS One 2014; 9:e85374. [PMID: 24416399 PMCID: PMC3887043 DOI: 10.1371/journal.pone.0085374] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2013] [Accepted: 11/26/2013] [Indexed: 11/24/2022] Open
Abstract
Source tracing of pathogens is critical for the control and prevention of infectious diseases. Genome sequencing by high throughput technologies is currently feasible and popular, leading to the burst of deciphered bacterial genome sequences. Utilizing the flooding genomic data for source tracing of pathogens in outbreaks is promising, and challenging as well. Here, we employed Yersinia pestis genomes from a plague outbreak at Xinghai county of China in 2009 as an example, to develop a simple two-step strategy for rapid source tracing of the outbreak. The first step was to define the phylogenetic position of the outbreak strains in a whole species tree, and the next step was to provide a detailed relationship across the outbreak strains and their suspected relatives. Through this strategy, we observed that the Xinghai plague outbreak was caused by Y. pestis that circulated in the local plague focus, where the majority of historical plague epidemics in the Qinghai-Tibet Plateau may originate from. The analytical strategy developed here will be of great help in fighting against the outbreaks of emerging infectious diseases, by pinpointing the source of pathogens rapidly with genomic epidemiological data and microbial forensics information.
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Affiliation(s)
- Yanfeng Yan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- BGI-Shenzhen, Shenzhen, China
| | - Hu Wang
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | | | - Xianwei Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Zuyun Wang
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Zhizhen Qi
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Qingwen Zhang
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Baizhong Cui
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Zhaobiao Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | | | | | | | - Guangming Liu
- School of Computer Science, National University of Defense Technology, Changsha, China
| | - Yajun Song
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | | | - Yujun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- BGI-Shenzhen, Shenzhen, China
- * E-mail: (RY); (YC)
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- BGI-Shenzhen, Shenzhen, China
- * E-mail: (RY); (YC)
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Platonov ME, Evseeva VV, Dentovskaya SV, Anisimov AP. Molecular typing of Yersinia pestis. MOLECULAR GENETICS MICROBIOLOGY AND VIROLOGY 2013. [DOI: 10.3103/s0891416813020067] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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Li Y, Cui Y, Cui B, Yan Y, Yang X, Wang H, Qi Z, Zhang Q, Xiao X, Guo Z, Ma C, Wang J, Song Y, Yang R. Features of Variable Number of Tandem Repeats in Yersinia pestis and the Development of a Hierarchical Genotyping Scheme. PLoS One 2013; 8:e66567. [PMID: 23805236 PMCID: PMC3689786 DOI: 10.1371/journal.pone.0066567] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Accepted: 05/09/2013] [Indexed: 01/14/2023] Open
Abstract
Background Variable number of tandem repeats (VNTRs) that are widely distributed in the genome of Yersinia pestis proved to be useful markers for the genotyping and source-tracing of this notorious pathogen. In this study, we probed into the features of VNTRs in the Y. pestis genome and developed a simple hierarchical genotyping system based on optimized VNTR loci. Methodology/Principal Findings Capillary electrophoresis was used in this study for multi-locus VNTR analysis (MLVA) in 956 Y. pestis strains. The general features and genetic diversities of 88 VNTR loci in Y. pestis were analyzed with BioNumerics, and a “14+12” loci-based hierarchical genotyping system, which is compatible with single nucleotide polymorphism-based phylogenic analysis, was established. Conclusions/Significance Appropriate selection of target loci reduces the impact of homoplasies caused by the rapid mutation rates of VNTR loci. The optimized “14+12” loci are highly discriminative in genotyping and source-tracing Y. pestis for molecular epidemiological or microbial forensic investigations with less time and lower cost. An MLVA genotyping datasets of representative strains will improve future research on the source-tracing and microevolution of Y. pestis.
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Affiliation(s)
- Yanjun Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- Laboratory Department, Navy General Hospital, Beijing, China
| | - Yujun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Baizhong Cui
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Yanfeng Yan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Xianwei Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Haidong Wang
- Laboratory Department, Navy General Hospital, Beijing, China
| | - Zhizhen Qi
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Qingwen Zhang
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Xiao Xiao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Zhaobiao Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Cong Ma
- Laboratory Department, Navy General Hospital, Beijing, China
| | - Jing Wang
- Institute of Health Quarantine, Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Yajun Song
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- * E-mail: (RY); (YS)
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- * E-mail: (RY); (YS)
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Zaluga J, Stragier P, Van Vaerenbergh J, Maes M, De Vos P. Multilocus variable-number-tandem-repeats analysis (MLVA) distinguishes a clonal complex of Clavibacter michiganensis subsp. michiganensis strains isolated from recent outbreaks of bacterial wilt and canker in Belgium. BMC Microbiol 2013; 13:126. [PMID: 23738754 PMCID: PMC3691591 DOI: 10.1186/1471-2180-13-126] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2013] [Accepted: 05/24/2013] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Clavibacter michiganensis subsp. michiganensis (Cmm) causes bacterial wilt and canker in tomato. Cmm is present nearly in all European countries. During the last three years several local outbreaks were detected in Belgium. The lack of a convenient high-resolution strain-typing method has hampered the study of the routes of transmission of Cmm and epidemiology in tomato cultivation. In this study the genetic relatedness among a worldwide collection of Cmm strains and their relatives was approached by gyrB and dnaA gene sequencing. Further, we developed and applied a multilocus variable number of tandem repeats analysis (MLVA) scheme to discriminate among Cmm strains. RESULTS A phylogenetic analysis of gyrB and dnaA gene sequences of 56 Cmm strains demonstrated that Belgian Cmm strains from recent outbreaks of 2010-2012 form a genetically uniform group within the Cmm clade, and Cmm is phylogenetically distinct from other Clavibacter subspecies and from non-pathogenic Clavibacter-like strains. MLVA conducted with eight minisatellite loci detected 25 haplotypes within Cmm. All strains from Belgian outbreaks, isolated between 2010 and 2012, together with two French strains from 2010 seem to form one monomorphic group. Regardless of the isolation year, location or tomato cultivar, Belgian strains from recent outbreaks belonged to the same haplotype. On the contrary, strains from diverse geographical locations or isolated over longer periods of time formed mostly singletons. CONCLUSIONS We hypothesise that the introduction might have originated from one lot of seeds or contaminated tomato seedlings that was the source of the outbreak in 2010 and that these Cmm strains persisted and induced infection in 2011 and 2012. Our results demonstrate that MLVA is a promising typing technique for a local surveillance and outbreaks investigation in epidemiological studies of Cmm.
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Affiliation(s)
- Joanna Zaluga
- Laboratory of Microbiology, Department of Biochemistry and Microbiology, Ghent University, K.L. Ledeganckstraat 35, Gent, B-9000, Belgium
| | - Pieter Stragier
- Laboratory of Microbiology, Department of Biochemistry and Microbiology, Ghent University, K.L. Ledeganckstraat 35, Gent, B-9000, Belgium
| | - Johan Van Vaerenbergh
- Plant-Crop Protection, Institute for Agricultural and Fisheries Research, ILVO, Burg. Van Gansberghelaan 96, Merelbeke, B-9820, Belgium
| | - Martine Maes
- Plant-Crop Protection, Institute for Agricultural and Fisheries Research, ILVO, Burg. Van Gansberghelaan 96, Merelbeke, B-9820, Belgium
| | - Paul De Vos
- Laboratory of Microbiology, Department of Biochemistry and Microbiology, Ghent University, K.L. Ledeganckstraat 35, Gent, B-9000, Belgium
- BCCM/LMG Bacteria collection - Laboratory of Microbiology Department of Biochemistry and Microbiology, Ghent University, K.L. Ledeganckstraat 35, Gent, B-9000, Belgium
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Yersinia pestis DNA from skeletal remains from the 6(th) century AD reveals insights into Justinianic Plague. PLoS Pathog 2013; 9:e1003349. [PMID: 23658525 PMCID: PMC3642051 DOI: 10.1371/journal.ppat.1003349] [Citation(s) in RCA: 83] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2012] [Accepted: 03/24/2013] [Indexed: 01/07/2023] Open
Abstract
Yersinia pestis, the etiologic agent of the disease plague, has been implicated in three historical pandemics. These include the third pandemic of the 19th and 20th centuries, during which plague was spread around the world, and the second pandemic of the 14th–17th centuries, which included the infamous epidemic known as the Black Death. Previous studies have confirmed that Y. pestis caused these two more recent pandemics. However, a highly spirited debate still continues as to whether Y. pestis caused the so-called Justinianic Plague of the 6th–8th centuries AD. By analyzing ancient DNA in two independent ancient DNA laboratories, we confirmed unambiguously the presence of Y. pestis DNA in human skeletal remains from an Early Medieval cemetery. In addition, we narrowed the phylogenetic position of the responsible strain down to major branch 0 on the Y. pestis phylogeny, specifically between nodes N03 and N05. Our findings confirm that Y. pestis was responsible for the Justinianic Plague, which should end the controversy regarding the etiology of this pandemic. The first genotype of a Y. pestis strain that caused the Late Antique plague provides important information about the history of the plague bacillus and suggests that the first pandemic also originated in Asia, similar to the other two plague pandemics. Plague is a notorious and fatal human disease caused by the bacterium Yersinia pestis that is endemic in many countries around the world. Three of the most devastating pandemics in human history have been associated with plague. The second pandemic originated in central Asia and peaked in Europe between 1348 and 1350 (a period of time known as the Black Death). The third pandemic began in the Yunnan province of China in the mid-1850s and subsequently spread to Africa, the Americas, Australia, Europe, and other parts of Asia. The second and third pandemics are well documented and scientifically proven. However, the first pandemic, which began in the 6th century and is also known as Justinianic Plague, is still a matter of controversy. Recently it has been suggested that Justinian's plague was not caused by Y. pestis. We detected Y. pestis DNA in samples obtained from multiple 6th century skeletons from Germany. This confirms that Justinianic Plague crossed the Alps and affected local populations there, including current day Bavaria. Furthermore, we used DNA fingerprinting approaches to determine Asia as the likely geographic origin for these strains.
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Rajanna C, Ouellette G, Rashid M, Zemla A, Karavis M, Zhou C, Revazishvili T, Redmond B, McNew L, Bakanidze L, Imnadze P, Rivers B, Skowronski EW, O'Connell KP, Sulakvelidze A, Gibbons HS. A strain ofYersinia pestiswith a mutator phenotype from the Republic of Georgia. FEMS Microbiol Lett 2013; 343:113-20. [DOI: 10.1111/1574-6968.12137] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2012] [Revised: 02/13/2013] [Accepted: 03/19/2013] [Indexed: 01/24/2023] Open
Affiliation(s)
- Chythanya Rajanna
- Emerging Pathogens Institute; University of Florida; Gainesville; FL; USA
| | | | - Mohammed Rashid
- Emerging Pathogens Institute; University of Florida; Gainesville; FL; USA
| | - Adam Zemla
- Lawrence Livermore National Laboratories; Livermore; CA; USA
| | - Mark Karavis
- US Army Edgewood Chemical Biological Center; Aberdeen Proving Ground; MD; USA
| | - Carol Zhou
- Lawrence Livermore National Laboratories; Livermore; CA; USA
| | | | - Brady Redmond
- US Army Edgewood Chemical Biological Center; Aberdeen Proving Ground; MD; USA
| | - Lauren McNew
- US Army Edgewood Chemical Biological Center; Aberdeen Proving Ground; MD; USA
| | | | - Paata Imnadze
- National Centers for Disease Control; Tbilisi; Georgia
| | - Bryan Rivers
- US Army Edgewood Chemical Biological Center; Aberdeen Proving Ground; MD; USA
| | - Evan W. Skowronski
- US Army Edgewood Chemical Biological Center; Aberdeen Proving Ground; MD; USA
| | - Kevin P. O'Connell
- US Army Edgewood Chemical Biological Center; Aberdeen Proving Ground; MD; USA
| | | | - Henry S. Gibbons
- US Army Edgewood Chemical Biological Center; Aberdeen Proving Ground; MD; USA
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Draft Genome Sequences of Five Yersinia pseudotuberculosis ST19 Isolates and One Isolate Variant. GENOME ANNOUNCEMENTS 2013; 1:e0012213. [PMID: 23580708 PMCID: PMC3624682 DOI: 10.1128/genomea.00122-13] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
We report the first draft genome sequences of five Yersinia pseudotuberculosis isolates of sequence type (ST) 19 and of a variant from one of the five isolates. The total length of assemblies ranged from 4,226,485 bp to 4,274,148 bp, including between 3,808 and 3,843 predicted coding sequences.
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A decade of plague in Mahajanga, Madagascar: insights into the global maritime spread of pandemic plague. mBio 2013; 4:e00623-12. [PMID: 23404402 PMCID: PMC3573667 DOI: 10.1128/mbio.00623-12] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
A cluster of human plague cases occurred in the seaport city of Mahajanga, Madagascar, from 1991 to 1999 following 62 years with no evidence of plague, which offered insights into plague pathogen dynamics in an urban environment. We analyzed a set of 44 Mahajanga isolates from this 9-year outbreak, as well as an additional 218 Malagasy isolates from the highland foci. We sequenced the genomes of four Mahajanga strains, performed whole-genome sequence single-nucleotide polymorphism (SNP) discovery on those strains, screened the discovered SNPs, and performed a high-resolution 43-locus multilocus variable-number tandem-repeat analysis of the isolate panel. Twenty-two new SNPs were identified and defined a new phylogenetic lineage among the Malagasy isolates. Phylogeographic analysis suggests that the Mahajanga lineage likely originated in the Ambositra district in the highlands, spread throughout the northern central highlands, and was then introduced into and became transiently established in Mahajanga. Although multiple transfers between the central highlands and Mahajanga occurred, there was a locally differentiating and dominant subpopulation that was primarily responsible for the 1991-to-1999 Mahajanga outbreaks. Phylotemporal analysis of this Mahajanga subpopulation revealed a cycling pattern of diversity generation and loss that occurred during and after each outbreak. This pattern is consistent with severe interseasonal genetic bottlenecks along with large seasonal population expansions. The ultimate extinction of plague pathogens in Mahajanga suggests that, in this environment, the plague pathogen niche is tenuous at best. However, the temporary large pathogen population expansion provides the means for plague pathogens to disperse and become ecologically established in more suitable nonurban environments. Maritime spread of plague led to the global dissemination of this disease and affected the course of human history. Multiple historical plague waves resulted in massive human mortalities in three classical plague pandemics: Justinian (6th and 7th centuries), Middle Ages (14th to 17th centuries), and third (mid-1800s to the present). Key to these events was the pathogen’s entry into new lands by “plague ships” via seaport cities. Although initial disease outbreaks in ports were common, they were almost never sustained for long and plague pathogens survived only if they could become established in ecologically suitable habitats. Although plague pathogens’ ability to invade port cities has been essential for intercontinental spread, these regions have not proven to be a suitable long-term niche. The disease dynamics in port cities such as Mahajanga are thus critical to plague pathogen amplification and dispersal into new suitable ecological niches for the observed global long-term maintenance of plague pathogens.
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N'guessan CA, Brisse S, Le Roux-Nio AC, Poussier S, Koné D, Wicker E. Development of variable number of tandem repeats typing schemes for Ralstonia solanacearum, the agent of bacterial wilt, banana Moko disease and potato brown rot. J Microbiol Methods 2013; 92:366-74. [PMID: 23376194 DOI: 10.1016/j.mimet.2013.01.012] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2012] [Revised: 01/22/2013] [Accepted: 01/22/2013] [Indexed: 11/25/2022]
Abstract
Ralstonia solanacearum is an important soil borne bacterial plant pathogen causing bacterial wilt on many important crops. To better monitor epidemics, efficient tools that can identify and discriminate populations are needed. In this study, we assessed variable number of tandem repeats (VNTR) genotyping as a new tool for epidemiological surveillance of R. solanacearum phylotypes, and more specifically for the monitoring of the monomorphic ecotypes "Moko" (banana-pathogenic) and "brown rot" (potato-pathogenic under cool conditions). Screening of six R. solanacearum genome sequences lead to select 36 VNTR loci that were preliminarily amplified on 24 strains. From this step, 26 single-locus primer pairs were multiplexed, and applied to a worldwide collection of 337 strains encompassing the whole phylogenetic diversity, with revelation on a capillary-electrophoresis genotype. Four loci were monomorphic within all phylotypes and were not retained; the other loci were highly polymorphic but displayed a clear phylotype-specificity. Phylotype-specific MLVA schemes were thus defined, based on 13 loci for phylotype I, 12 loci for phylotype II, 11 loci for phylotype III and 6 for phylotype IV. MLVA typing was significantly more discriminative than egl-based sequevar typing, particularly on monomorphic "brown rot" ecotype (phylotype IIB/sequevar 1) and "Moko disease" clade 4 (Phylotype IIB/sequevar 4). Our results raise promising prospects for studies of population genetic structures and epidemiological monitoring.
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Historical variations in mutation rate in an epidemic pathogen, Yersinia pestis. Proc Natl Acad Sci U S A 2012; 110:577-82. [PMID: 23271803 DOI: 10.1073/pnas.1205750110] [Citation(s) in RCA: 237] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The genetic diversity of Yersinia pestis, the etiologic agent of plague, is extremely limited because of its recent origin coupled with a slow clock rate. Here we identified 2,326 SNPs from 133 genomes of Y. pestis strains that were isolated in China and elsewhere. These SNPs define the genealogy of Y. pestis since its most recent common ancestor. All but 28 of these SNPs represented mutations that happened only once within the genealogy, and they were distributed essentially at random among individual genes. Only seven genes contained a significant excess of nonsynonymous SNP, suggesting that the fixation of SNPs mainly arises via neutral processes, such as genetic drift, rather than Darwinian selection. However, the rate of fixation varies dramatically over the genealogy: the number of SNPs accumulated by different lineages was highly variable and the genealogy contains multiple polytomies, one of which resulted in four branches near the time of the Black Death. We suggest that demographic changes can affect the speed of evolution in epidemic pathogens even in the absence of natural selection, and hypothesize that neutral SNPs are fixed rapidly during intermittent epidemics and outbreaks.
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Small oversights that led to the Great Plague of Marseille (1720-1723): lessons from the past. INFECTION GENETICS AND EVOLUTION 2012; 14:169-85. [PMID: 23246639 DOI: 10.1016/j.meegid.2012.11.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2012] [Accepted: 11/20/2012] [Indexed: 01/14/2023]
Abstract
In recent decades, the issue of emerging and re-emerging infectious diseases has become an increasingly important area of concern in public health. Today, like centuries ago, infectious diseases confront us with the fear of death and have heavily influenced social behaviors and policy decisions at local, national and international levels. Remarkably, an infectious disease such as plague, which is disseminated from one country to another mainly by commercial transportation, remains today, as it was in the distant past, a threat for human societies. Throughout history, plague outbreaks prevailed on numerous occasions in Mediterranean harbors, including Marseille in the south of France. A few months ago, the municipal authorities of the city of Marseille, announced the archaeological discovery of the last remnants of a "lazaretto" or "lazaret" (http://20.minutes.fr, March 3th, 2012), a place equipped with an infirmary and destined to isolate ship passengers quarantined for health reasons. More recently, on September 16th, 2012, the anchor of the ship "Grand Saint Antoine" responsible for bringing the plague to Marseille in 1720, was recovered and it will be restored before being presented to the public in 2013 (http://www.libemarseille.fr/henry/2012/09/lancre-du-bateau-qui-amena-la-grande-peste-%C3%A0-marseille.html). In the light of these recent archaeological discoveries, it is quite instructive to revisit the sequence of events and decisions that led to the outbreak of the Great Plague of Marseille between 1720 and 1723. It comes to the evidence that although the threat was known and health surveillance existed with quite effective preventive measures such as quarantine, the accumulation of small negligence led to one of the worst epidemics in the city (about 30% of casualties among the inhabitants). This is an excellent model to illustrate the issues we are facing with emerging and re-emerging infectious diseases today and to define how to improve biosurveillance and response tomorrow. Importantly, the risk of plague dissemination by transport trade is negligible between developed countries, however, this risk still persists in developing countries. In addition, the emergence of antibiotic resistant strains of Yersinia pestis, the infectious agent of plague, is raising serious concerns for public health.
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Draft genome sequence of Yersinia pestis strain 2501, an isolate from the great gerbil plague focus in Xinjiang, China. J Bacteriol 2012; 194:5447-8. [PMID: 22965078 DOI: 10.1128/jb.01150-12] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
We deciphered the genome of Yersinia pestis strain 2501, isolated from the Junggar Basin, a newly discovered great gerbil plague focus in Xinjiang, China. The total length of assembly was 4,597,322 bp, and 4,265 coding sequences were predicted within the genome. It is the first Y. pestis genome from this plague focus.
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Platonov ME, Evseeva VV, Svetoch TE, Efremenko DV, Kuznetsova IV, Dentovskaya SV, Kulichenko AN, Anisimov AP. Phylogeography of Yersinia pestis vole strains isolated from natural foci of the Caucasus and South Caucasus. MOLECULAR GENETICS, MICROBIOLOGY AND VIROLOGY 2012. [DOI: 10.3103/s089141681203007x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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