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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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Yang X, Wang Y, Li J, Chen J, Liu J, Tian G, Zhao H, Piao D, Fan Y, Jiang H. Genetic characteristics of an amikacin-resistant Brucella abortus strain first isolated from Marmota himalayana. Microb Pathog 2022; 164:105402. [PMID: 35038548 DOI: 10.1016/j.micpath.2022.105402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 01/08/2022] [Accepted: 01/10/2022] [Indexed: 11/16/2022]
Abstract
Brucella spp. are facultative intracellular pathogens that can persistently colonize animal host cells and cause zoonotic brucellosis. Brucellosis affects public health and safety and even affects economic development. Our lab found that a Brucella strain isolated from Marmota himalayana exhibited amikacin resistance. To annotate and analyze the potential resistance genes in this strain, we utilized sequencing platforms in this study and cloned potential resistance genes. The findings showed that the isolated strain belonged to B. abortus biovar 1 and was similar to B. abortus 2308. The isolate had amikacin resistance genes encoding aminoglycoside 3'-phosphotransferase. Based on the results of genome analysis, the isolated strain may have obtained amikacin resistance genes from Salmonella spp. through Tn3 family transposons. Notably, this study establishes a foundation for further research on the resistance mechanism of Brucella spp. and provides data that may be useful for the prevention and control of drug-resistant Brucella strains.
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Affiliation(s)
- Xiaowen Yang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanzhi Wang
- School of Medicine, Shihezi University, Shihezi, Xinjiang Uygur Autonomous Region, China
| | - Jiquan Li
- Qinghai Institute for Endemic Disease Prevention and Control, Xining, Qinghai, China
| | - Junjie Chen
- Tongliao Institute of Mongolian Medicine, Tongliao, Inner Mongolia, China
| | - Jiayin Liu
- School of Public Health, Baotou Medical College, Baotou, Inner Mongolia, China
| | - Guozhong Tian
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hongyan Zhao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dongri Piao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yu Fan
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hai Jiang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
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