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Zuo J, Shen Y, Wang H, Gao S, Yuan S, Song D, Wang Y, Wang Y. Effects of metformin on Streptococcus suis LuxS/AI-2 quorum sensing system and biofilm formation. Microb Pathog 2023:106183. [PMID: 37263449 DOI: 10.1016/j.micpath.2023.106183] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 05/29/2023] [Accepted: 05/30/2023] [Indexed: 06/03/2023]
Abstract
Streptococcus suis (S. suis) regulates biofilm formation through LuxS/AI-2 quorum sensing system, increasing drug resistance and exacerbating infection. The anti-hyperglycaemic agent metformin has anti-bacterial and anti-biofilm activities. This study aimed to investigate the anti-biofilm and anti-quorum sensing activity of metformin in S. suis. We first determined the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of metformin on S. suis. The results indicated that metformin showed no obvious inhibitory or bactericidal effect. Crystal violet staining showed that metformin significantly inhibited the formation of S. suis biofilm at sub-MIC concentration, which was also confirmed by scanning electron microscopy. Then, we quantified the AI-2 signal molecules in S. suis, and the results showed that metformin had a significant inhibitory effect on the production of AI-2 signal in S. suis. Inhibition of enzyme activity and molecular docking experiments showed that metformin has a significant binding activity to LuxS protein. In addition, qRT-PCR results showed that metformin significantly down-regulated the expression of AI-2 synthesis-related genes luxS and pfs, and adhesion-related genes luxS, pfs, gapdh, sly, fbps, and ef. Western blotting also showed that metformin significantly reduced the expression of LuxS protein. Our study suggests that metformin seems to be a suitable candidate for the inhibition of S. suis LuxS/AI-2 QS system and prevention of biofilm formation, which provided a new idea for the prevention and control of S. suis.
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Affiliation(s)
- Jing Zuo
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China; Henan Engineering Research Center of Livestock and Poultry Emerging Disease Detection and Control, Luoyang, China
| | - Yamin Shen
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China; Henan Engineering Research Center of Livestock and Poultry Emerging Disease Detection and Control, Luoyang, China
| | - Haikun Wang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China; Henan Engineering Research Center of Livestock and Poultry Emerging Disease Detection and Control, Luoyang, China
| | - Shuji Gao
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China; Henan Engineering Research Center of Livestock and Poultry Emerging Disease Detection and Control, Luoyang, China
| | - Shuo Yuan
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China; Henan Engineering Research Center of Livestock and Poultry Emerging Disease Detection and Control, Luoyang, China
| | - Dong Song
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China; Henan Engineering Research Center of Livestock and Poultry Emerging Disease Detection and Control, Luoyang, China
| | - Yuxin Wang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China; Henan Engineering Research Center of Livestock and Poultry Emerging Disease Detection and Control, Luoyang, China
| | - Yang Wang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China; Henan Engineering Research Center of Livestock and Poultry Emerging Disease Detection and Control, Luoyang, China.
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2
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Roodsant TJ, Van Der Putten BCL, Tamminga SM, Schultsz C, Van Der Ark KCH. Identification of Streptococcus suis putative zoonotic virulence factors: A systematic review and genomic meta-analysis. Virulence 2021; 12:2787-2797. [PMID: 34666617 PMCID: PMC8632099 DOI: 10.1080/21505594.2021.1985760] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
Streptococcus suis is an emerging zoonotic pathogen. Over 100 putative virulence factors have been described, but it is unclear to what extent these virulence factors could contribute to zoonotic potential of S. suis. We identified all S. suis virulence factors studied in experimental models of human origin in a systematic review and assessed their contribution to zoonotic potential in a subsequent genomic meta-analysis. PubMed and Scopus were searched for English-language articles that studied S. suis virulence published until 31 March 2021. Articles that analyzed a virulence factor by knockout mutation, purified protein, and/or recombinant protein in a model of human origin, were included. Data on virulence factor, strain characteristics, used human models and experimental outcomes were extracted. All publicly available S. suis genomes with available metadata on host, disease status and country of origin, were included in a genomic meta-analysis. We calculated the ratio of the prevalence of each virulence factor in human and pig isolates. We included 130 articles and 1703 S. suis genomes in the analysis. We identified 53 putative virulence factors that were encoded by genes which are part of the S. suis core genome and 26 factors that were at least twice as prevalent in human isolates as in pig isolates. Hhly3 and NisK/R were particularly enriched in human isolates, after stratification by genetic lineage and country of isolation. This systematic review and genomic meta-analysis have identified virulence factors that are likely to contribute to the zoonotic potential of S. suis.
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Affiliation(s)
- Thomas J Roodsant
- Amsterdam UMC, University of Amsterdam, Department of Global Health-Amsterdam, Institute for Global Health and Development, Amsterdam, Netherlands.,Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Boas C L Van Der Putten
- Amsterdam UMC, University of Amsterdam, Department of Global Health-Amsterdam, Institute for Global Health and Development, Amsterdam, Netherlands.,Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Sara M Tamminga
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Constance Schultsz
- Amsterdam UMC, University of Amsterdam, Department of Global Health-Amsterdam, Institute for Global Health and Development, Amsterdam, Netherlands.,Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Kees C H Van Der Ark
- Amsterdam UMC, University of Amsterdam, Department of Global Health-Amsterdam, Institute for Global Health and Development, Amsterdam, Netherlands.,Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
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3
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Dong X, Chao Y, Zhou Y, Zhou R, Zhang W, Fischetti VA, Wang X, Feng Y, Li J. The global emergence of a novel Streptococcus suis clade associated with human infections. EMBO Mol Med 2021; 13:e13810. [PMID: 34137500 PMCID: PMC8261479 DOI: 10.15252/emmm.202013810] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 12/17/2022] Open
Abstract
Streptococcus suis, a ubiquitous bacterial colonizer in pigs, has recently extended host range to humans, leading to a global surge of deadly human infections and three large outbreaks since 1998. To better understand the mechanisms for the emergence of cross-species transmission and virulence in human, we have sequenced 366 S. suis human and pig isolates from 2005 to 2016 and performed a large-scale phylogenomic analysis on 1,634 isolates from 14 countries over 36 years. We show the formation of a novel human-associated clade (HAC) diversified from swine S. suis isolates. Phylogeographic analysis identified Europe as the origin of HAC, coinciding with the exportation of European swine breeds between 1960s and 1970s. HAC is composed of three sub-lineages and contains several healthy-pig isolates that display high virulence in experimental infections, suggesting healthy-pig carriers as a potential source for human infection. New HAC-specific genes are identified as promising markers for pathogen detection and surveillance. Our discovery of a human-associated S. suis clade provides insights into the evolution of this emerging human pathogen and extend our understanding of S. suis epidemics worldwide.
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Affiliation(s)
- Xingxing Dong
- Key Laboratory of Environment Correlative DietologyInterdisciplinary Sciences InstituteCollege of Food Science and TechnologyHuazhong Agricultural UniversityWuhanChina
- National R&D Center for Se‐rich Agricultural Products ProcessingHubei Engineering Research Center for Deep Processing of Green Se‐rich Agricultural ProductsSchool of Modern Industry for Selenium Science and EngineeringWuhan Polytechnic UniversityWuhanChina
| | - Yanjie Chao
- The Center for Microbes, Development and Health (CMDH)CAS Key Laboratory of Molecular Virology and ImmunologyInstitut Pasteur of ShanghaiChinese Academy of SciencesShanghaiChina
| | - Yang Zhou
- State Key Laboratory of Agricultural MicrobiologyHuazhong Agricultural UniversityWuhanChina
- College of FisheriesHuazhong Agricultural UniversityWuhanChina
| | - Rui Zhou
- State Key Laboratory of Agricultural MicrobiologyHuazhong Agricultural UniversityWuhanChina
| | - Wei Zhang
- College of Veterinary MedicineNanjing Agricultural UniversityNanjingChina
| | - Vincent A. Fischetti
- Laboratory of Bacterial Pathogenesis and ImmunologyThe Rockefeller UniversityNew YorkNYUSA
| | - Xiaohong Wang
- Key Laboratory of Environment Correlative DietologyInterdisciplinary Sciences InstituteCollege of Food Science and TechnologyHuazhong Agricultural UniversityWuhanChina
| | - Ye Feng
- Institute of Translational MedicineSchool of MedicineZhejiang UniversityHangzhouChina
| | - Jinquan Li
- Key Laboratory of Environment Correlative DietologyInterdisciplinary Sciences InstituteCollege of Food Science and TechnologyHuazhong Agricultural UniversityWuhanChina
- State Key Laboratory of Agricultural MicrobiologyHuazhong Agricultural UniversityWuhanChina
- Laboratory of Bacterial Pathogenesis and ImmunologyThe Rockefeller UniversityNew YorkNYUSA
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4
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Chen T, Wang C, Hu L, Lu H, Song F, Zhang A, Wang X, Chen H, Tan C. Evaluation of the immunoprotective effects of IF-2 GTPase and SSU05-1022 as a candidate for a Streptococcus suis subunit vaccine. Future Microbiol 2021; 16:721-729. [PMID: 34223787 DOI: 10.2217/fmb-2020-0232] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: This study aims to develop a subunit vaccine with high cross-protection for Streptococcus suis. Materials & methods: Four-week-old female BALB/c mice were first immunized with a single and mixed protein. Various indicators, such as antibody titers and various cytokine levels, were further analyzed. Results: The results showed that purified recombinant proteins IF-2 and 1022 had a good protective effect against lethal doses of S. suis serotype 2 and S. suis serotype 9. This study showed immunization with recombinant proteins. Conclusion: IF-2 and 1022 can enhance cross-protection against S. suis serotypes 2 and 9.
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Affiliation(s)
- Tumei Chen
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Chenchen Wang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Linlin Hu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Hao Lu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Fangyu Song
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Anding Zhang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China.,Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture of The People's Republic of China, Wuhan, Hubei, 430070, China.,International Research Center for Animal Disease, Ministry of Science & Technology of The People's Republic of China, Wuhan, Hubei, 430070, China
| | - Xiangru Wang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China.,Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture of The People's Republic of China, Wuhan, Hubei, 430070, China.,International Research Center for Animal Disease, Ministry of Science & Technology of The People's Republic of China, Wuhan, Hubei, 430070, China
| | - Huanchun Chen
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China.,Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture of The People's Republic of China, Wuhan, Hubei, 430070, China.,International Research Center for Animal Disease, Ministry of Science & Technology of The People's Republic of China, Wuhan, Hubei, 430070, China
| | - Chen Tan
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China.,Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture of The People's Republic of China, Wuhan, Hubei, 430070, China.,International Research Center for Animal Disease, Ministry of Science & Technology of The People's Republic of China, Wuhan, Hubei, 430070, China
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5
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Xu L, Lin L, Lu X, Xiao P, Liu R, Wu M, Jin M, Zhang A. Acquiring high expression of suilysin enable non-epidemic Streptococccus suis to cause streptococcal toxic shock-like syndrome (STSLS) through NLRP3 inflammasome hyperactivation. Emerg Microbes Infect 2021; 10:1309-1319. [PMID: 33792531 PMCID: PMC8253218 DOI: 10.1080/22221751.2021.1908098] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The epidemic Streptococcus suis (S. suis) strain [Sequence type (ST) 7] was gradually evolving from the non-epidemic ST1 strain and got the ability for high expressing of suilysin (SLY). And the high expression of SLY was required for the epidemic strain to cause NLRP3 hyperactivation, which is essential for the induction of cytokines storm, dysfunction of multiple organs, and a high incidence of mortality, the characters of streptococcal toxic shock-like syndrome (STSLS). However, it remains to be elucidated whether acquiring high SLY expression due to genome evolution was sufficient for the non-epidemic strain to cause STSLS. Here, we found that the overexpression of SLY in ST1 strain (P1/7-SLY) could obviously increase the inflammasome activation, which was dependent on NLRP3 signalling. In contrast, the strain (P1/7-mSLY) overexpressing the mutant SLY (protein without hemolytic activity) could not significantly increase the inflammasome activation. Furthermore, similar to the epidemic strain, P1/7-SLY could cause STSLS in nlrp3+/+ mice but not in nlrp3−/− mice. In contrast, P1/7-mSLY could not cause STSLS in both nlrp3+/+ mice and nlrp3−/− mice. In summary, we demonstrate that genetic evolution enabling S. suis strain to express high level of SLY may be an essential and sufficient condition for NLRP3 inflammasome hyperactivation, which could further cause cytokines storm and STSLS.
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Affiliation(s)
- Lei Xu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, People's Republic of China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, People's Republic of China
| | - Lan Lin
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, People's Republic of China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, People's Republic of China.,Department of Integrated Traditional Chinese and Western Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Xi Lu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, People's Republic of China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, People's Republic of China
| | - Peng Xiao
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, People's Republic of China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, People's Republic of China
| | - Ran Liu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, People's Republic of China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, People's Republic of China
| | - Meizhou Wu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, People's Republic of China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, People's Republic of China
| | - Meilin Jin
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, People's Republic of China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, People's Republic of China.,Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture of the People's Republic of China, Wuhan, People's Republic of China
| | - Anding Zhang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, People's Republic of China.,Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, People's Republic of China.,Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture of the People's Republic of China, Wuhan, People's Republic of China.,International Research Center for Animal Disease, Ministry of Science and Technology of the People's Republic of China, Wuhan, People's Republic of China
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6
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Bisht A, Kamble MP, Choudhary P, Chaturvedi K, Kohli G, Juneja VK, Sehgal S, Taneja NK. A surveillance of food borne disease outbreaks in India: 2009–2018. Food Control 2021. [DOI: 10.1016/j.foodcont.2020.107630] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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7
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Estrada AA, Gottschalk M, Rendahl A, Rossow S, Marshall-Lund L, Marthaler DG, Gebhart CJ. Proposed virulence-associated genes of Streptococcus suis isolates from the United States serve as predictors of pathogenicity. Porcine Health Manag 2021; 7:22. [PMID: 33648592 PMCID: PMC7917538 DOI: 10.1186/s40813-021-00201-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 02/16/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND There is limited information on the distribution of virulence-associated genes (VAGs) in U.S. Streptococcus suis isolates, resulting in little understanding of the pathogenic potential of these isolates. This lack also reduces our understanding of the epidemiology associated with S. suis in the United States and thus affects the efficiency of control and prevention strategies. In this study we applied whole genome sequencing (WGS)-based approaches for the characterization of S. suis and identification of VAGs. RESULTS Of 208 S. suis isolates classified as pathogenic, possibly opportunistic, and commensal pathotypes, the genotype based on the classical VAGs (epf, mrp, and sly encoding the extracellular protein factor, muramidase-release protein, and suilysin, respectively) was identified in 9% (epf+/mrp+/sly+) of the pathogenic pathotype. Using the chi-square test and LASSO regression model, the VAGs ofs (encoding the serum opacity factor) and srtF (encoding sortase F) were selected out of 71 published VAGs as having a significant association with pathotype, and both genes were found in 95% of the pathogenic pathotype. The ofs+/srtF+ genotype was also present in 74% of 'pathogenic' isolates from a separate validation set of isolates. Pan-genome clustering resulted in the differentiation of a group of isolates from five swine production companies into clusters corresponding to clonal complex (CC) and virulence-associated (VA) genotypes. The same CC-VA genotype patterns were identified in multiple production companies, suggesting a lack of association between production company, CC, or VA genotype. CONCLUSIONS The proposed ofs and srtF genes were stronger predictors for differentiating pathogenic and commensal S. suis isolates compared to the classical VAGs in two sets of U.S. isolates. Pan-genome analysis in combination with metadata (serotype, ST/CC, VA genotype) was illustrated to be a valuable subtyping tool to describe the genetic diversity of S. suis.
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Affiliation(s)
- April A Estrada
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA.
| | - Marcelo Gottschalk
- Faculty of Veterinary Medicine, University of Montreal, Saint-Hyacinthe, Quebec, Canada
| | - Aaron Rendahl
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA
| | - Stephanie Rossow
- Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA
| | - Lacey Marshall-Lund
- Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA
| | - Douglas G Marthaler
- Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Connie J Gebhart
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA
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8
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Li L, Zhang Q, Zhao X, Zhou Y, Sun J, Ren J, Zhou D, Luo YB, Hu M, Zhang Y, Qi J, Liu YQ. Rapid Detection of mrp, epf, and sly Genes by Loop-Mediated Isothermal Amplification in Streptococcus suis. Foodborne Pathog Dis 2021; 18:290-296. [PMID: 33512258 DOI: 10.1089/fpd.2020.2868] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Streptococcus suis remains a serious threat to the worldwide swine industry and human health. In this study, rapid assays for the detection of three common virulence-related factors (mrp, epf, and sly) were developed, evaluated, and applied. Loop-mediated isothermal amplification (LAMP) primers were designed using Primer Explorer V5 software. The sensitivity and specificity of the LAMP assays were determined based on sample turbidity. For all three genes, LAMP assays were performed at 62°C with a reaction time of 60 min. The detection limit of conventional polymerase chain reaction (PCR) was 1 ng/μL, 10 pg/μL, and 100 fg/μL for the epf, sly, and mrp genes, respectively. For the LAMP assays, the detection limits were 10 pg/μL, 10 fg/μL, and 100 fg/μL for epf, sly, and mrp, respectively, representing sensitivities 100-1000 times higher than those of the PCR assay. Furthermore, when the LAMP assays were applied to clinical strains, the results were consistent with those of the PCR assay, confirming the LAMP assays as rapid and reliable detection techniques. In conclusion, the LAMP assays described in this study have the potential to become standard methods to detect the virulence factors mrp, epf, and sly. To the best of our knowledge, this is the first study to report the application of LAMP to detect the mrp, epf, and sly genes.
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Affiliation(s)
- LuLu Li
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Qing Zhang
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Xiaonan Zhao
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yufeng Zhou
- National Veterinary Microbiological Drug Resistance Risk Assessment Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Jian Sun
- National Veterinary Microbiological Drug Resistance Risk Assessment Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Jinrui Ren
- School of Life Sciences, Shandong Normal University, Jinan, China
| | - Dong Zhou
- Shandong Minhe Animal Husbandry Co., Ltd., Penglai, China
| | - Yan-Bo Luo
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Ming Hu
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yin Zhang
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Jing Qi
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yu-Qing Liu
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China
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9
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Wang X, Zhou H, Du P, Lan R, Chen D, Dong A, Lin X, Qiu X, Xu S, Ji X, Li M, Hou X, Sun L, Li D, Han L, Li Z. Genomic epidemiology of Corynebacterium striatum from three regions of China: an emerging national nosocomial epidemic. J Hosp Infect 2020; 110:67-75. [PMID: 33166588 DOI: 10.1016/j.jhin.2020.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 09/27/2020] [Accepted: 10/03/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Corynebacteritum straitum has been considered as an emerging multi-drug-resistant (MDR) pathogen. Isolation of MDR C. striatum as the only organism from respiratory samples from hospitalized patients is increasing in China. AIM To elucidate the genomic epidemiology and evolution of C. striatum in China. METHODS A total of 260 isolates from 2016 to 2018 were collected from three hospitals in three regions of China. Antibiotic sensitivity testing was performed on all isolates. Whole-genome sequencing was applied to all isolates to assess their genomic diversity and relationships and detect the presence of antimicrobial resistance genes (ARG) and ARG cassettes. FINDINGS Almost all isolates (96.2%, 250/260) showed multi-drug-resistance. Genome sequencing revealed four major lineages with lineage IV emerging as the epidemic lineage. Most of the diversity was developed in the last 6 years. Each hospital has its own predominant clones with potential spread between Hebei and Guangdong hospitals. Genomic analysis further revealed multiple antimicrobial resistance genes. CONCLUSIONS Our results suggested that four lineages of C. striatum have spread in parallel across China, causing persistent and extensive transmissions within hospitals. MDR C. striatum infection has become a national epidemic. Antibiotic-driven selection pressure may have played significant roles in forming persistent and predominant clones. Our data provide the basis for surveillance and prevention strategies to control the epidemic caused by MDR C. striatum.
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Affiliation(s)
- X 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, China
| | - H Zhou
- 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, China
| | - P Du
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - R Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - D Chen
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China
| | - A Dong
- University of Science and Technology Affiliated Hospital, Tangshan, 063000, China
| | - X Lin
- Guangzhou Panyu Central Hospital, Guangzhou, 510000, China
| | - X Qiu
- 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, China
| | - S 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, China
| | - X Ji
- 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, China
| | - M Li
- 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, China
| | - X Hou
- 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, China
| | - L Sun
- 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, China
| | - D Li
- 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, China
| | - L Han
- Department of Medicine, Tibet University, Lhasa, 850000, China
| | - Z Li
- 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, China.
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10
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Wang Y, Luo C, Du P, Hu J, Zhao X, Mo D, Du X, Xu X, Li M, Lu H, Zhou Z, Cui Z, Zhou H. Genomic Epidemiology of an Outbreak of Klebsiella pneumoniae ST471 Producing Extended-Spectrum β-Lactamases in a Neonatal Intensive Care Unit. Infect Drug Resist 2020; 13:1081-1090. [PMID: 32346299 PMCID: PMC7167269 DOI: 10.2147/idr.s236212] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Accepted: 01/11/2020] [Indexed: 12/22/2022] Open
Abstract
Purpose Klebsiella pneumoniae producing extended-spectrum β-lactamases (ESBLs) causes nosocomial infections worldwide. The present study aimed to determine the molecular subtyping characteristics and antibiotic resistance mechanisms of ESBL-producing K. pneumoniae strains collected during an outbreak. Moreover, we attempted to reveal the fine transmission route of the strains within this outbreak using whole-genome sequencing (WGS). Methods Collecting cases and strain information were carried out. Outbreak-related strains were identified using pulsed-field gel electrophoresis (PFGE). The antibiotic susceptibility, drug-resistant genes, and molecular subtype characteristics of ESBL-producing K. pneumoniae were analyzed. The fine transmission route of the strains within this outbreak was revealed using WGS and minimum core genome (MCG) sequence typing. Results In mid-January, 2015, five cases of neonatal pneumonia caused by ESBL-producing K. pneumoniae were observed in the neonatal intensive care unit (NICU) of the Affiliated Hospital of Chifeng University, China. Eight ESBL-producing K. pneumoniae were isolated from these five cases, and two additional strains from another two cases were identified using PFGE. All ten isolates harbored bla CTX-M-15, bla TEM-1, bla SHV-108, and bla OXA-1 genes, and belonged to the sequence type 471 (ST471) clone. A putative transmission map was constructed via comprehensive consideration of genomic and epidemiological information. WGS identified the initial case and the "superspreader". The genomic epidemiological investigation revealed that the outbreak was caused by the introduction of the bacteria one month before the first case appeared. Conclusion As far as we know, this is the first report to describe the characteristics of an ST471 ESBL-producing K. pneumoniae outbreak. The data showed that epidemiological inferences could be greatly improved by interpretation in the context of WGS and that K. pneumoniae strains isolated from the same outbreak contain sufficient genomic differences to refine epidemiological linkages on the basis of genetic lineage. These findings suggested that integration of genomic and epidemiological data can help us to have a clearer understanding of when and how outbreaks occur, so as to better control nosocomial transmission.
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Affiliation(s)
- Yuan Wang
- Affiliated Hospital of Chifeng University, Chifeng 024005, People's Republic of China
| | - Chunyu Luo
- Affiliated Hospital of Chifeng University, Chifeng 024005, People's Republic of China
| | - Pengcheng Du
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, People's Republic of China
| | - Jinrui Hu
- 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 102206, People's Republic of China
| | - Xiaowei Zhao
- Affiliated Hospital of Chifeng University, Chifeng 024005, People's Republic of China
| | - Dianjun Mo
- Affiliated Hospital of Chifeng University, Chifeng 024005, People's Republic of China
| | - Xiaoli Du
- 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 102206, People's Republic of China
| | - Xin Xu
- Affiliated Hospital of Chifeng University, Chifeng 024005, People's Republic of China
| | - Man Li
- Affiliated Hospital of Chifeng University, Chifeng 024005, People's Republic of China
| | - Hong Lu
- Affiliated Hospital of Chifeng University, Chifeng 024005, People's Republic of China
| | - Zhiqiang Zhou
- Affiliated Hospital of Chifeng University, Chifeng 024005, People's Republic of China
| | - Zhigang Cui
- 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 102206, People's Republic of China
| | - Haijian Zhou
- 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 102206, People's Republic of China
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11
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Tools for Molecular Epidemiology of Streptococcus suis. Pathogens 2020; 9:pathogens9020081. [PMID: 32012668 PMCID: PMC7168656 DOI: 10.3390/pathogens9020081] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 01/22/2020] [Accepted: 01/23/2020] [Indexed: 12/04/2022] Open
Abstract
Diseases caused by Streptococcus suis are a significant economic and welfare concern in pigs as well as in humans. Several molecular methods have been applied to investigate S. suis strain diversity and identify phylogenetic groups. Multilocus sequence typing (MLST), commonly used to differentiate between S. suis strains, has been instrumental in identifying that the species is genetically highly diverse. Recent advances in whole-genome analysis have resulted in schemes permitting the classification of S. suis populations as pathogenic or non-pathogenic, or disease-associated or non-disease associated. Here, we review these and other molecular approaches that can be used for surveillance, outbreak tracking, preventative health management, effective treatment and control, as well as vaccine development, including PCR based-assays that are easy to apply in modest diagnostic settings and which allow for the rapid screening of a large number of isolates at relatively low cost, granting the identification of several major clonal complexes of the S. suis population.
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12
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Li Z, Chang P, Xu J, Tan C, Wang X, Bei W, Li J. A Streptococcus suis Live Vaccine Suppresses Streptococcal Toxic Shock-Like Syndrome and Provides Sequence Type-Independent Protection. J Infect Dis 2019; 219:448-458. [PMID: 30165645 DOI: 10.1093/infdis/jiy512] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 08/23/2018] [Indexed: 12/13/2022] Open
Abstract
Background Streptococcus suis is an encapsulated zoonotic pathogen. Increasing antimicrobial resistance invokes the need for effective vaccines. Despite many attempts to develop an effective vaccine, none is currently available. Methods A capsular polysaccharide (CPS)-expressing attenuated mutant 2015033 was constructed by deleting 5 virulence-associated factors (sly, scpA, ssnA, fhb, and ssads) in an infective S. suis strain SC19. The safety and immune effect of 2015033 were determined both in vitro and in vivo. Results Deletion of 5 genes did not impact the growth ability and CPS generation of 2015033, and the mutant exhibited no cytotoxicity in different cell models. 2015033 was more easily eliminated by innate immunity both in vitro and in vivo. In addition, 2015033 showed a diminished invasive ability in different mouse organs (brain, lung, and liver) and avirulent properties in mice associated with weak inflammation-inducing ability. Immunization with 2015033 triggered T cell-dependent immunity, suppressed streptococcal toxic shock-like syndrome, and conferred sequence type-independent protection to mice during infection. Conclusions This study presents the feasibility of the strategy of multigene deletion for the development of promising live vaccines against invasive encapsulated pathogens.
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Affiliation(s)
- Zhiwei Li
- Bio-Medical Center, Key Laboratory of Environment Correlative Dietology, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Peixi Chang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Jiali Xu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Chen Tan
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Xiaohong Wang
- Bio-Medical Center, Key Laboratory of Environment Correlative Dietology, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Weicheng Bei
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Jinquan Li
- Bio-Medical Center, Key Laboratory of Environment Correlative Dietology, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China.,State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
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13
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Genomic Epidemiology of Streptococcus suis Sequence Type 7 Sporadic Infections in the Guangxi Zhuang Autonomous Region of China. Pathogens 2019; 8:pathogens8040187. [PMID: 31614790 PMCID: PMC6963630 DOI: 10.3390/pathogens8040187] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 10/08/2019] [Accepted: 10/08/2019] [Indexed: 12/17/2022] Open
Abstract
Streptococcus suis is an important zoonotic pathogen. Serotype 2 and sequence type (ST) 1 are the most frequently reported strains in both infected humans and pigs. ST7 is only endemic to China, and it was responsible for outbreaks in 1998 and 2005 in China. In the present study, 38 sporadic ST7 S. suis strains, which mostly caused sepsis, were collected from patients in the Guangxi Zhuang Autonomous Region (GX) between 2007 and 2018. Of 38 sporadic ST7 strains, serotype 14 was the most frequent (27 strains, 71.1%), followed by serotype 2 (11 strains, 28.9%). The phylogenetic structure of the ST7 population, including epidemic and sporadic ST7 strains, was constructed using mutational single-nucleotide polymorphisms (SNPs). High diversity within the ST7 population was revealed and divided into five lineages. Only one sporadic ST7 strain, GX14, from a Streptococcal toxic-shock-like syndrome (STSLS) patient was clustered into the same lineage as the epidemic strains. GX14 and the epidemic strains diverged in 1974. The sporadic ST7 strains of GX were mainly clustered into lineage 5, which emerged in 1980. Comparing to genome of epidemic strain, the major differences in genome of sporadic ST7 strains of GX was the absence of 89 kb pathogenicity island (PAI) specific to epidemic strain and insertion of 128 kb ICE_phage tandem MGE or ICE portion of the MGE. These mobile elements play a significant role in the horizontal transfer of antibiotic resistance genes in sporadic ST7 strains. Our results enhanced the understanding of the evolution of the ST7 strains and their ability to cause life-threatening infections in humans.
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14
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Wang X, Zhou H, Chen D, Du P, Lan R, Qiu X, Hou X, Liu Z, Sun L, Xu S, Ji X, Li H, Li D, Zhang J, Zeng H, Li Z. Whole-Genome Sequencing Reveals a Prolonged and Persistent Intrahospital Transmission of Corynebacterium striatum, an Emerging Multidrug-Resistant Pathogen. J Clin Microbiol 2019; 57:e00683-19. [PMID: 31315959 PMCID: PMC6711910 DOI: 10.1128/jcm.00683-19] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 06/27/2019] [Indexed: 12/31/2022] Open
Abstract
Corynebacterium striatum is an emerging multidrug-resistant (MDR) pathogen that occurs primarily among immunocompromised and chronically ill patients. However, little is known about the genomic diversity of C. striatum, which contributes to its long-term persistence and transmission in hospitals. In this study, a total of 192 C. striatum isolates obtained from 14 September 2017 to 29 March 2018 in a hospital in Beijing, China, were analyzed by antimicrobial susceptibility testing and pulsed-field gel electrophoresis (PFGE). Whole-genome sequencing was conducted on 91 isolates. Nearly all isolates (96.3%, 183/190) were MDR. The highest resistance rate was observed for ciprofloxacin (99.0%, 190/192), followed by cefotaxime (90.6%, 174/192) and erythromycin (89.1%, 171/192). PFGE separated the 192 isolates into 79 pulsotypes, and differences in core genome single-nucleotide polymorphisms (SNPs) partitioned the 91 isolates sequenced into four clades. Isolates of the same pulsotype were identical or nearly identical at the genome level, with some exceptions. Two dominant subclones, clade 3a, and clade 4a, were responsible for the hospital-wide dissemination. Genomic analysis further revealed nine resistance genes mobilized by eight unique cassettes. PFGE and whole-genome sequencing revealed that the C. striatum isolates studied were the result mainly of predominant clones spreading in the hospital. C. striatum isolates in the hospital progressively acquired resistance to antimicrobial agents, demonstrating that isolates of C. striatum may adapt rapidly through the acquisition and accumulation of resistance genes and thus evolve into dominant and persistent clones. These insights will be useful for the prevention of C. striatum infection in hospitals.
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Affiliation(s)
- Xuebing Wang
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
| | - Haijian Zhou
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
| | - Dongke Chen
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Pengcheng Du
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Xiaotong Qiu
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
| | - Xuexin Hou
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
| | - Zhiguo Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
| | - Lina Sun
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
| | - Shuai Xu
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
| | - Xingzhao Ji
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
| | - Heqiao Li
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Dan Li
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
| | - Jingshan Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
| | - Hui Zeng
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Zhenjun Li
- State Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Changping, Beijing, China
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15
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Zhu Y, Dong W, Ma J, Zhang Y, Pan Z, Yao H. Utilization of the ComRS system for the rapid markerless deletion of chromosomal genes in Streptococcus suis. Future Microbiol 2019; 14:207-222. [DOI: 10.2217/fmb-2018-0279] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: To develop a markerless gene deletion strategy in Streptococcus suis to solve the problem that several serotypes against electrotransformation of foreign DNA. Materials & methods: Bioinformatics retrieval was performed to identified ComRS systems functioning for natural transformation. A sacB-spc cassette with the upper and lower homologous fragments was amplification by fusion-PCR for spectinomycin-positive and sucrose-negative selection during gene deletion. Results & conclusion: Three phylogenetic clusters of ComR were identified to function for natural transformation by specific recognition to competence pheromone in S. suis. Thus, they were employed to establish gene deletion method. Its efficiency for genetic replacement was dependent on the length of homologs fragment and the concentration of donor DNA. This rapid gene-editing technique may greatly facilitate molecular studies on S. suis.
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Affiliation(s)
- Yinchu Zhu
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, PR China
- Office International Des Epizooties (OIE) Reference Lab for Swine Streptococcosis, Nanjing Agricultural University, Nanjing 210095, PR China
- Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Wenyang Dong
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, PR China
- Office International Des Epizooties (OIE) Reference Lab for Swine Streptococcosis, Nanjing Agricultural University, Nanjing 210095, PR China
- Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Jiale Ma
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, PR China
- Office International Des Epizooties (OIE) Reference Lab for Swine Streptococcosis, Nanjing Agricultural University, Nanjing 210095, PR China
- Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Yue Zhang
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, PR China
- Office International Des Epizooties (OIE) Reference Lab for Swine Streptococcosis, Nanjing Agricultural University, Nanjing 210095, PR China
- Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Zihao Pan
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, PR China
- Office International Des Epizooties (OIE) Reference Lab for Swine Streptococcosis, Nanjing Agricultural University, Nanjing 210095, PR China
- Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Huochun Yao
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, PR China
- Office International Des Epizooties (OIE) Reference Lab for Swine Streptococcosis, Nanjing Agricultural University, Nanjing 210095, PR China
- Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, PR China
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16
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Huang W, Wang M, Hao H, Yang R, Xie J, Su J, Lin M, Cui Y, Jiang Y. Genomic epidemiological investigation of a Streptococcus suis outbreak in Guangxi, China, 2016. INFECTION GENETICS AND EVOLUTION 2018; 68:249-252. [PMID: 30597207 DOI: 10.1016/j.meegid.2018.12.023] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Revised: 09/16/2018] [Accepted: 12/18/2018] [Indexed: 11/18/2022]
Abstract
In June 2016, a Streptococcus suis outbreak occurred in Guangxi, China. We determined the genetic characteristics of six clinically isolated strains by serotyping, PCR, and whole-genome sequencing, performing genome epidemiology analysis on these and 961 public available S. suis genomes. We also classified the first sequence type ST665 human case. Sporadic and outbreak cases were distinguished by whole-genome sequencing and phylogenomics. This approach could help to prevent and control S. suis epidemics in Guangxi and the wider region.
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Affiliation(s)
- Wenhua Huang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Mingliu Wang
- Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, China
| | - Huaijie Hao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Science, Beijing, China
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jijie Xie
- Jingxi Center for Diseases Control and Prevention, Jingxi, Guangxi, China
| | - Jinhong Su
- Hengxian Center for Diseases Control and Prevention, Hengxian, Guangxi, China
| | - Mei Lin
- Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, China.
| | - Yujun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
| | - Yongqiang Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
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17
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Willemse N, van der Ende A, Schultsz C. Reinfection with Streptococcus suis analysed by whole genome sequencing. Zoonoses Public Health 2018; 66:179-183. [PMID: 30306727 PMCID: PMC7379552 DOI: 10.1111/zph.12528] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 07/14/2018] [Accepted: 09/16/2018] [Indexed: 01/17/2023]
Abstract
A butcher with chronic dermatitis presented with a second episode of Streptococcus suis meningitis, 8 years after the first episode. To distinguish between reinfection and persistent carriage, we compared the two S. suis isolates using whole genome sequencing. We investigated whole genome sequences of the S. suis isolates by means of substitution rates and population structure of closely related strains in addition to available clinical information. Genome‐wide analyses revealed an inserted region consisting of 12 genes in the first isolate and the calculated substitution rate between the isolates suggested infections were caused by highly similar, but unrelated strains. Continuous occupational exposure likely resulted in reinfection with S. suis in a butcher.
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Affiliation(s)
- Niels Willemse
- Department of Medical Microbiology, Academic Medical Center, Amsterdam, The Netherlands.,Department of Global Health, Amsterdam Institute for Global Health and Development, Academic Medical Center, Amsterdam, The Netherlands
| | - Arie van der Ende
- Department of Medical Microbiology, Academic Medical Center, Amsterdam, The Netherlands.,Netherlands Reference Laboratory for Bacterial Meningitis, Academic Medical Center, Amsterdam, the Netherlands
| | - Constance Schultsz
- Department of Medical Microbiology, Academic Medical Center, Amsterdam, The Netherlands.,Department of Global Health, Amsterdam Institute for Global Health and Development, Academic Medical Center, Amsterdam, The Netherlands
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18
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Whole genome sequence revealed the fine transmission map of carbapenem-resistant Klebsiella pneumonia isolates within a nosocomial outbreak. Antimicrob Resist Infect Control 2018; 7:70. [PMID: 29881543 PMCID: PMC5984795 DOI: 10.1186/s13756-018-0363-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 05/22/2018] [Indexed: 11/16/2022] Open
Abstract
Background Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a major cause of nosocomial infections worldwide. The transmission route of CRKP isolates within an outbreak is rarely described. This study aimed to reveal the molecular characteristics and transmission route of CRKP isolates within an outbreak of nosocomial infection. Methods Collecting case information, active screening and targeted environmental monitoring were carried out. The antibiotic susceptibility, drug-resistant genes, molecular subtype and whole genome sequence of CRKP strains were analyzed. Results Between October and December 2011, 26 CRKP isolates were collected from eight patients in a surgical intensive care unit and subsequent transfer wards of Beijing Tongren hospital, China. All 26 isolates harbored blaKPC-2, blaSHV-1, and blaCTX-M-15 genes, had the same or similar pulsed-field gel electrophoresis patterns, and belonged to the sequence type 11 (ST11) clone. By comprehensive consideration of genomic and epidemiological information, a putative transmission map was constructed, including identifying one case as an independent event distinct from the other seven cases, and revealing two transmissions starting from the same case. Conclusions This study provided the first report confirming an outbreak caused by K. pneumoniae ST11 clone co-harboring the blaKPC-2, blaCTX-M-15, and blaSHV-1 genes, and suggested that comprehensive consideration of genomic and epidemiological data can yield a fine transmission map of an outbreak and facilitate the control of nosocomial transmission.
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19
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Schürch A, Arredondo-Alonso S, Willems R, Goering R. Whole genome sequencing options for bacterial strain typing and epidemiologic analysis based on single nucleotide polymorphism versus gene-by-gene–based approaches. Clin Microbiol Infect 2018; 24:350-354. [DOI: 10.1016/j.cmi.2017.12.016] [Citation(s) in RCA: 239] [Impact Index Per Article: 34.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 11/21/2017] [Accepted: 12/22/2017] [Indexed: 11/30/2022]
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20
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Liu Q, Xu W, Lu S, Jiang J, Zhou J, Shao Z, Liu X, Xu L, Xiong Y, Zheng H, Jin S, Jiang H, Cao W, Xu J. Landscape of emerging and re-emerging infectious diseases in China: impact of ecology, climate, and behavior. Front Med 2018; 12:3-22. [PMID: 29368266 PMCID: PMC7089168 DOI: 10.1007/s11684-017-0605-9] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 10/24/2017] [Indexed: 10/26/2022]
Abstract
For the past several decades, the infectious disease profile in China has been shifting with rapid developments in social and economic aspects, environment, quality of food, water, housing, and public health infrastructure. Notably, 5 notifiable infectious diseases have been almost eradicated, and the incidence of 18 additional notifiable infectious diseases has been significantly reduced. Unexpectedly, the incidence of over 10 notifiable infectious diseases, including HIV, brucellosis, syphilis, and dengue fever, has been increasing. Nevertheless, frequent infectious disease outbreaks/events have been reported almost every year, and imported infectious diseases have increased since 2015. New pathogens and over 100 new genotypes or serotypes of known pathogens have been identified. Some infectious diseases seem to be exacerbated by various factors, including rapid urbanization, large numbers of migrant workers, changes in climate, ecology, and policies, such as returning farmland to forests. This review summarizes the current experiences and lessons from China in managing emerging and re-emerging infectious diseases, especially the effects of ecology, climate, and behavior, which should have merits in helping other countries to control and prevent infectious diseases.
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Affiliation(s)
- Qiyong Liu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Wenbo Xu
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing, 102206, China
| | - Shan Lu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Jiafu Jiang
- Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071, China
| | - Jieping Zhou
- The Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China.,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University, Beijing, 100094, China
| | - Zhujun Shao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Xiaobo Liu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Lei Xu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yanwen Xiong
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Han Zheng
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Sun Jin
- The Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China.,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University, Beijing, 100094, China
| | - Hai Jiang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Wuchun Cao
- Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071, China
| | - Jianguo Xu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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21
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Kan B, Zhou H, Du P, Zhang W, Lu X, Qin T, Xu J. Transforming bacterial disease surveillance and investigation using whole-genome sequence to probe the trace. Front Med 2018; 12:23-33. [PMID: 29318441 DOI: 10.1007/s11684-017-0607-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 10/24/2017] [Indexed: 12/11/2022]
Abstract
Two decades have passed since the first bacterial whole-genome sequencing, which provides new opportunity for microbial genome. Consequently, considerable genetic diversity encoded by bacterial genomes and among the strains in the same species has been revealed. In recent years, genome sequencing techniques and bioinformatics have developed rapidly, which has resulted in transformation and expedited the application of strategy and methodology for bacterial genome comparison used in dissection of infectious disease epidemics. Bacterial whole-genome sequencing and bioinformatic computing allow genotyping to satisfy the requirements of epidemiological study in disease control. In this review, we outline the significance and summarize the roles of bacterial genome sequencing in the context of bacterial disease control and prevention.We discuss the applications of bacterial genome sequencing in outbreak detection, source tracing, transmission mode discovery, and new epidemic clone identification. Wide applications of genome sequencing and data sharing in infectious disease surveillance networks will considerably promote outbreak detection and early warning to prevent the dissemination of bacterial diseases.
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Affiliation(s)
- Biao Kan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. .,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310003, China.
| | - Haijian Zhou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310003, China
| | - Pengcheng Du
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Wen Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310003, China
| | - Xin Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310003, China
| | - Tian Qin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310003, 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, Beijing, 102206, China. .,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310003, China.
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22
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Zheng H, Du P, Qiu X, Kerdsin A, Roy D, Bai X, Xu J, Vela AI, Gottschalk M. Genomic comparisons of Streptococcus suis serotype 9 strains recovered from diseased pigs in Spain and Canada. Vet Res 2018; 49:1. [PMID: 29316972 PMCID: PMC5759227 DOI: 10.1186/s13567-017-0498-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 12/07/2017] [Indexed: 11/21/2022] Open
Abstract
Streptococcus suis is one of the most important bacterial pathogens in the porcine industry and also a zoonotic agent. Serotype 9 is becoming one of the most prevalent serotypes within the S. suis population in certain European countries. In the present study, serotype 9 strains isolated from a country where infection due to this serotype is endemic (Spain), were compared to those recovered from Canada, where this serotype is rarely isolated from diseased pigs. For comparison purposes, strains from Brazil and the only strain isolated from a human case, in Thailand, were also incorporated. Firstly, sequence types (STs) were obtained followed by detection of putative virulence factors. Phylogenetic trees were constructed using the non-recombinant single nucleotide polymorphisms from core genomes of tested strains. Most Spanish strains were either ST123 or ST125, whereas Canadian strains were highly heterogeneous. However, the distribution of putative virulence factors was similar in both groups of strains. The fact that ST16 strains harbored more putative virulence genes and shared greater similarity with the genome of human serotype 2 strains suggests that they present a higher zoonotic and virulence potential than those from Canada and Spain. More than 80% of the strains included in this study carried genes associated with resistance to tetracycline, lincosamides and macrolides. Serotype 9 strains may be nearly 400 years old and have evolved in parallel into 2 lineages. The rapid population expansion of dominant lineage 1 occurred within the last 40 years probably due to the rapid development of the porcine industry.
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Affiliation(s)
- Han Zheng
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Pengchen Du
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xiaotong Qiu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Anusak Kerdsin
- Faculty of Public Health, Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus, Bangkok, Sakon Nakhon, Thailand
| | - David Roy
- Swine and Poultry Infectious Diseases Research Center, Faculty of Veterinary Medicine, University of Montreal, Montreal, QC, Canada
| | - Xuemei Bai
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China
| | - Ana I Vela
- Departamento de Sanidad Animal, Facultad de Veterinaria and Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense de Madrid, Madrid, Spain
| | - Marcelo Gottschalk
- Swine and Poultry Infectious Diseases Research Center, Faculty of Veterinary Medicine, University of Montreal, Montreal, QC, Canada.
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