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Sun RY, Fang LX, Dai JJ, Chen KC, Ke BX, Sun J, Ke CW, Wai Chi Chan E, Liu YH, Chen S, Liao XP. Antimicrobial resistance and population genomics of emerging multidrug-resistant Salmonella 4,[5],12:i:- in Guangdong, China. mSystems 2024; 9:e0116423. [PMID: 38747582 DOI: 10.1128/msystems.01164-23] [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: 11/06/2023] [Accepted: 04/09/2024] [Indexed: 06/19/2024] Open
Abstract
Salmonella 4,[5],12:i:-, a monophasic variant of Salmonella Typhimurium, has emerged as a global cause of multidrug-resistant salmonellosis and has become endemic in many developing and developed countries, especially in China. Here, we have sequenced 352 clinical isolates in Guangdong, China, during 2009-2019 and performed a large-scale collection of Salmonella 4,[5],12:i:- with whole genome sequencing (WGS) data across the globe, to better understand the population structure, antimicrobial resistance (AMR) genomic characterization, and transmission routes of Salmonella 4,[5],12:i:- across Guangdong. Salmonella 4,[5],12:i:- strains showed broad genetic diversity; Guangdong isolates were found to be widely distributed among the global lineages. Of note, we identified the formation of a novel Guangdong clade (Bayesian analysis of population structure lineage 1 [BAPS1]) genetically diversified from the global isolates and likely emerged around 1990s. BAPS1 exhibits unique genomic features, including large pan-genome, decreased ciprofloxacin susceptibility due to mutation in gyrA and carriage of plasmid-mediated quinolone resistance (PMQR) genes, and the multidrug-resistant IncHI2 plasmid. Furthermore, high genetic similarity was found between strains collected from Guangdong, Europe, and North America, indicating the association with multiple introductions from overseas. These results suggested that global dissemination and local clonal expansion simultaneously occurred in Guangdong, China, and horizontally acquired resistance to first-line and last-line antimicrobials at local level, underlying emergences of extensive drug and pan-drug resistance. Our findings have increased the knowledge of global and local epidemics of Salmonella 4,[5],12:i:- in Guangdong, China, and provided a comprehensive baseline data set essential for future molecular surveillance.IMPORTANCESalmonella 4,[5],12:i:- has been regarded as the predominant pandemic serotype causing diarrheal diseases globally, while multidrug resistance (MDR) constitutes great public health concerns. This study provided a detailed and comprehensive genome-scale analysis of this important Salmonella serovar in the past decade in Guangdong, China. Our results revealed the complexity of two distinct transmission modes, namely global transmission and local expansion, circulating in Guangdong over a decade. Using phylogeography models, the origin of Salmonella 4,[5],12:i:- was predicted from two aspects, year and country, that is, Salmonella 4,[5],12:i:- emerged in 1983, and was introduced from the UK, and subsequently differentiated into the local endemic lineage circa 1991. Additionally, based on the pan-genome analysis, it was found that the gene accumulation rate in local endemic BAPS 1 lineage was higher than in other lineages, and the horizontal transmission of MDR IncHI2 plasmid associated with high resistance played a major role, which showed the potential threat to public health.
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Affiliation(s)
- Ruan-Yang Sun
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, China
| | - Liang-Xing Fang
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Jing-Jing Dai
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, China
| | - Kai-Chao Chen
- Department of Food Science and Nutrition, Faculty of Science, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
| | - Bi-Xia Ke
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Jian Sun
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Chang-Wen Ke
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Edward Wai Chi Chan
- Department of Food Science and Nutrition, Faculty of Science, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
| | - Ya-Hong Liu
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, Jiangsu, China
| | - Sheng Chen
- Department of Food Science and Nutrition, Faculty of Science, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
| | - Xiao-Ping Liao
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
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Allen A, Magee R, Devaney R, Ardis T, McNally C, McCormick C, Presho E, Doyle M, Ranasinghe P, Johnston P, Kirke R, Harwood R, Farrell D, Kenny K, Smith J, Gordon S, Ford T, Thompson S, Wright L, Jones K, Prodohl P, Skuce R. Whole-Genome sequencing in routine Mycobacterium bovis epidemiology - scoping the potential. Microb Genom 2024; 10:001185. [PMID: 38354031 PMCID: PMC10926703 DOI: 10.1099/mgen.0.001185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/09/2024] [Indexed: 02/16/2024] Open
Abstract
Mycobacterium bovis the main agent of bovine tuberculosis (bTB), presents as a series of spatially-localised micro-epidemics across landscapes. Classical molecular typing methods applied to these micro-epidemics, based on genotyping a few variable loci, have significantly improved our understanding of potential epidemiological links between outbreaks. However, they have limited utility owing to low resolution. Conversely, whole-genome sequencing (WGS) provides the highest resolution data available for molecular epidemiology, producing richer outbreak tracing, insights into phylogeography and epidemic evolutionary history. We illustrate these advantages by focusing on a common single lineage of M. bovis (1.140) from Northern Ireland. Specifically, we investigate the spatial sub-structure of 20 years of herd-level multi locus VNTR analysis (MLVA) surveillance data and WGS data from a down sampled subset of isolates of this MLVA type over the same time frame. We mapped 2108 isolate locations of MLVA type 1.140 over the years 2000-2022. We also mapped the locations of 148 contemporary WGS isolates from this lineage, over a similar geographic range, stratifying by single nucleotide polymorphism (SNP) relatedness cut-offs of 15 SNPs. We determined a putative core range for the 1.140 MLVA type and SNP-defined sequence clusters using a 50 % kernel density estimate, using cattle movement data to inform on likely sources of WGS isolates found outside of core ranges. Finally, we applied Bayesian phylogenetic methods to investigate past population history and reproductive number of the 1.140 M. bovis lineage. We demonstrate that WGS SNP-defined clusters exhibit smaller core ranges than the established MLVA type - facilitating superior disease tracing. We also demonstrate the superior functionality of WGS data in determining how this lineage was disseminated across the landscape, likely via cattle movement and to infer how its effective population size and reproductive number has been in flux since its emergence. These initial findings highlight the potential of WGS data for routine monitoring of bTB outbreaks.
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Affiliation(s)
- Adrian Allen
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Ryan Magee
- Queen’s University Belfast, school of Biological Sciences, UK
| | - Ryan Devaney
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Tara Ardis
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Caitlín McNally
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Carl McCormick
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Eleanor Presho
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Michael Doyle
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Purnika Ranasinghe
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Philip Johnston
- Department of Agriculture, Environment and Rural Affairs for Northern Ireland, Belfast, UK
| | - Raymond Kirke
- Department of Agriculture, Environment and Rural Affairs for Northern Ireland, Belfast, UK
| | - Roland Harwood
- Department of Agriculture, Environment and Rural Affairs for Northern Ireland, Belfast, UK
| | - Damien Farrell
- Central Veterinary Research Laboratory, Kildare, Ireland
- University College Dublin, Dublin, Ireland
| | - Kevin Kenny
- Central Veterinary Research Laboratory, Kildare, Ireland
| | | | | | - Tom Ford
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Suzan Thompson
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Lorraine Wright
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Kerri Jones
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
| | - Paulo Prodohl
- Queen’s University Belfast, school of Biological Sciences, UK
| | - Robin Skuce
- Agrifood and Biosciences Institute, Veterinary Sciences Division, Belfast, UK
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Jiang N, Chen H, Cheng L, Fu Q, Liu R, Liang Q, Fu G, Wan C, Huang Y. Genomic analysis reveals the population structure and antimicrobial resistance of avian Pasteurella multocida in China. J Antimicrob Chemother 2024; 79:186-194. [PMID: 38019670 DOI: 10.1093/jac/dkad365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/16/2023] [Indexed: 12/01/2023] Open
Abstract
OBJECTIVES To investigate the population structure and antimicrobial resistance (AMR) of avian Pasteurella multocida in China. METHODS Utilizing WGS analysis, we explored the phylogeny using a dataset of 546 genomes, comprising avian P. multocida isolates from China (n = 121), the USA (n = 165), Australia(n = 153), Bangladesh (n = 3) and isolates of other hosts from China (n = 104). We examined the integrative and conjugative element (ICE) structures and the distribution of their components carrying resistance genes, and reconstructed the evolutionary history of A:L1:ST129 (n = 110). RESULTS The population structure of avian P. multocida in China was dominated by the A:L1:ST129 clone with limited genetic diversity. A:L1:ST129 isolates possessed a broader spectrum of resistance genes at comparatively higher frequencies than those from other hosts and countries. The novel putative ICEs harboured complex resistant clusters that were prevalent in A:L1:ST129. Bayesian analysis predicted that the A:L1:ST129 clone emerged around 1923, and evolved slowly. CONCLUSIONS A:L1:ST129 appears to possess a host predilection towards avian species in China, posing a potential health threat to other animals. The complex AMR determinants coupled with high frequencies may strengthen the population dominance of A:L1:ST129. The extensive antimicrobial utilization in poultry farming and the mixed rearing practices could have accelerated AMR accumulation in A:L1:ST129. ICEs, together with their resistant clusters, significantly contribute to resistance gene transfer and facilitate the adaptation of A:L1:ST129 to ecological niches. Despite the genetic stability and slow evolution rate, A:L1:ST129 deserves continued monitoring due to its propensity to retain resistance genes, warranting global attention to preclude substantial economic losses.
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Affiliation(s)
- Nansong Jiang
- Research Center for Poultry Diseases of Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian Province, China
- Fujian Key Laboratory for Prevention and Control of Avian Diseases, Fuzhou, Fujian Province, China
- Fujian Industry Technology Innovation Research Academy of Livestock and Poultry Diseases Prevention & Control, Fuzhou, Fujian Province, China
| | - Hongmei Chen
- Research Center for Poultry Diseases of Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian Province, China
- Fujian Key Laboratory for Prevention and Control of Avian Diseases, Fuzhou, Fujian Province, China
- Fujian Industry Technology Innovation Research Academy of Livestock and Poultry Diseases Prevention & Control, Fuzhou, Fujian Province, China
| | - Longfei Cheng
- Research Center for Poultry Diseases of Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian Province, China
- Fujian Key Laboratory for Prevention and Control of Avian Diseases, Fuzhou, Fujian Province, China
- Fujian Industry Technology Innovation Research Academy of Livestock and Poultry Diseases Prevention & Control, Fuzhou, Fujian Province, China
| | - Qiuling Fu
- Research Center for Poultry Diseases of Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian Province, China
- Fujian Key Laboratory for Prevention and Control of Avian Diseases, Fuzhou, Fujian Province, China
- Fujian Industry Technology Innovation Research Academy of Livestock and Poultry Diseases Prevention & Control, Fuzhou, Fujian Province, China
| | - Rongchang Liu
- Research Center for Poultry Diseases of Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian Province, China
- Fujian Key Laboratory for Prevention and Control of Avian Diseases, Fuzhou, Fujian Province, China
- Fujian Industry Technology Innovation Research Academy of Livestock and Poultry Diseases Prevention & Control, Fuzhou, Fujian Province, China
| | - Qizhang Liang
- Fujian Key Laboratory for Prevention and Control of Avian Diseases, Fuzhou, Fujian Province, China
- Fujian Industry Technology Innovation Research Academy of Livestock and Poultry Diseases Prevention & Control, Fuzhou, Fujian Province, China
| | - Guanghua Fu
- Research Center for Poultry Diseases of Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian Province, China
- Fujian Key Laboratory for Prevention and Control of Avian Diseases, Fuzhou, Fujian Province, China
- Fujian Industry Technology Innovation Research Academy of Livestock and Poultry Diseases Prevention & Control, Fuzhou, Fujian Province, China
| | - Chunhe Wan
- Research Center for Poultry Diseases of Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian Province, China
- Fujian Key Laboratory for Prevention and Control of Avian Diseases, Fuzhou, Fujian Province, China
- Fujian Industry Technology Innovation Research Academy of Livestock and Poultry Diseases Prevention & Control, Fuzhou, Fujian Province, China
| | - Yu Huang
- Research Center for Poultry Diseases of Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian Province, China
- Fujian Key Laboratory for Prevention and Control of Avian Diseases, Fuzhou, Fujian Province, China
- Fujian Industry Technology Innovation Research Academy of Livestock and Poultry Diseases Prevention & Control, Fuzhou, Fujian Province, China
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Hu S, Chen Y, Xu H, Chen J, Hu S, Meng X, Ni S, Xiao Y, Zheng B. Probability of outbreaks and cross-border dissemination of the emerging pathogen: a genomic survey of Elizabethkingia meningoseptica. Microbiol Spectr 2023; 11:e0160223. [PMID: 37815354 PMCID: PMC10714787 DOI: 10.1128/spectrum.01602-23] [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: 04/16/2023] [Accepted: 08/14/2023] [Indexed: 10/11/2023] Open
Abstract
IMPORTANCE Elizabethkingia meningoseptica is an emerging infectious agent associated with life-threatening infections in immunocompromised individuals. However, there are limited data available on the genomic features of E. meningoseptica. This study aims to characterize the geographical distribution, phylogenetic evolution, pathogenesis, and transmission of this bacterium. A systematic analysis of the E. meningoseptica genome revealed that a common ancestor of this bacterium existed 90 years ago. The evolutionary history showed no significant relationship with the sample source, origin, or region, despite the presence of genetic diversity. Whole genome sequencing data also demonstrated that E. meningoseptica bacteria possess inherent resistance and pathogenicity, enabling them to spread within the same hospital and even across borders. This study highlights the potential for E. meningoseptica to cause severe nosocomial outbreaks and horizontal transmission between countries worldwide. The available evidence is crucial for the development of evidence-based public health policies to prevent global outbreaks caused by emerging pathogens.
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Affiliation(s)
- Shaohua Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yingying Chen
- Department of Neurosurgery, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, Zhejiang, China
| | - Hao Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jing Chen
- Data Resource Development Department, Hangzhou Matridx Biotechnology Co., Ltd., Hangzhou, Zhejiang, China
| | - Shaojun Hu
- Department of Pathology, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, Zhejiang, China
| | - Xiaohua Meng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Shujun Ni
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yonghong Xiao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Structure and Morphology, Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
- Research Units of Infectious Diseases and Microecology, Chinese Academy of Medical Sciences, Beijing, Hebei, China
| | - Beiwen Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Structure and Morphology, Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
- Research Units of Infectious Diseases and Microecology, Chinese Academy of Medical Sciences, Beijing, Hebei, China
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Feng Y, Pan H, Zheng B, Li F, Teng L, Jiang Z, Feng M, Zhou X, Peng X, Xu X, Wang H, Wu B, Xiao Y, Baker S, Zhao G, Yue M. An integrated nationwide genomics study reveals transmission modes of typhoid fever in China. mBio 2023; 14:e0133323. [PMID: 37800953 PMCID: PMC10653838 DOI: 10.1128/mbio.01333-23] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/16/2023] [Indexed: 10/07/2023] Open
Abstract
IMPORTANCE Typhoid fever is a life-threatening disease caused by Salmonella enterica serovar Typhi, resulting in a significant disease burden across developing countries. Historically, China was very much close to the global epicenter of typhoid, but the role of typhoid transmission within China and among epicenter remains overlooked in previous investigations. By using newly produced genomics on a national scale, we clarify the complex local and global transmission history of such a notorious disease agent in China spanning the most recent five decades, which largely undermines the global public health network.
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Affiliation(s)
- Ye Feng
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Hang Pan
- Department of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China
| | - Beiwen Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fang Li
- Department of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China
| | - Lin Teng
- Department of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China
| | - Zhijie Jiang
- Department of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China
| | - Mengyao Feng
- Department of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China
| | - Xiao Zhou
- Department of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China
| | - Xianqi Peng
- Department of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China
| | - Xuebin Xu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Haoqiu Wang
- Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Beibei Wu
- Zhejiang Province Center for Disease Control and Prevention, Hangzhou, China
- School of Public Health and Managemet, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yonghong Xiao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Stephen Baker
- University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Guoping Zhao
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
- CAS Key Laboratory of Synthetic Biology, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- Department of Microbiology and Microbial Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Min Yue
- Department of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Hainan Institute of Zhejiang University, Sanya, China
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Kawakubo S, Kim H, Takeshita M, Masuta C. Host-specific adaptation drove the coevolution of leek yellow stripe virus and Allium plants. Microbiol Spectr 2023; 11:e0234023. [PMID: 37706684 PMCID: PMC10581216 DOI: 10.1128/spectrum.02340-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 07/11/2023] [Indexed: 09/15/2023] Open
Abstract
Host adaptation plays a crucial role in virus evolution and is a consequence of long-term interactions between virus and host in a complex arms race between host RNA silencing and viral RNA silencing suppressor (RSS) as counterdefense. Leek yellow stripe virus (LYSV), a potyvirus causing yield loss of garlic, infects several species of Allium plants. The unexpected discovery of an interspecific hybrid of garlic, leek, and great-headed (GH) garlic motivated us to explore the host-adaptive evolution of LYSV. Here, using Bayesian phylogenetic comparative methods and a functional assay of viral RSS activity, we show that the evolutionary context of LYSV has been shaped by the host adaptation of the virus during its coevolution with Allium plants. Our phylogenetic analysis revealed that LYSV isolates from leek and their taxonomic relatives (Allium ampeloprasum complex; AAC) formed a distinct monophyletic clade separate from garlic isolates and are likely to be uniquely adapted to AAC. Our comparative studies on viral accumulation indicated that LYSV accumulated at a low level in leek, whereas LYSVs were abundant in other Allium species such as garlic and its relatives. When RSS activity of the viral P1 and HC-Pro of leek LYSV isolate was analyzed, significant synergism in RSS activity between the two proteins was observed in leek but not in other species, suggesting that viral RSS activity may be important for the viral host-specific adaptation. We thus consider that LYSV may have undergone host-specific evolution at least in leek, which must be driven by speciation of its Allium hosts. IMPORTANCE Potyviruses are the most abundant plant RNA viruses and are extremely diversified in terms of their wide host range. Due to frequent host switching during their evolution, host-specific adaptation of potyviruses may have been shaped by numerous host factors. However, any critical determinants for viral host range remain largely unknown, possibly because of the repeated gain and loss of virus infectivity of plants. Leek yellow stripe virus (LYSV) is a species of the genus Potyvirus, which has a relatively narrow host range, generally limited to hosts in the genus Allium. Our investigations on leek and leek relatives (Allium ampeloprasum complex), which must have been generated through interspecies hybridization, revealed that LYSV accumulation remained low in leek as a result of viral host adaptation in competition with host resistance such as RNA silencing. This study presents LYSV as an ideal model to study the process of host-adaptive evolution and virus-host coevolution.
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Affiliation(s)
- Shusuke Kawakubo
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Hangil Kim
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Minoru Takeshita
- Faculty of Agriculture, Department of Agricultural and Environmental Sciences, University of Miyazaki, Miyazaki, Japan
| | - Chikara Masuta
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
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Campos PE, Pruvost O, Boyer K, Chiroleu F, Cao TT, Gaudeul M, Baider C, Utteridge TMA, Becker N, Rieux A, Gagnevin L. Herbarium specimen sequencing allows precise dating of Xanthomonas citri pv. citri diversification history. Nat Commun 2023; 14:4306. [PMID: 37474518 PMCID: PMC10359311 DOI: 10.1038/s41467-023-39950-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 06/15/2023] [Indexed: 07/22/2023] Open
Abstract
Herbarium collections are an important source of dated, identified and preserved DNA, whose use in comparative genomics and phylogeography can shed light on the emergence and evolutionary history of plant pathogens. Here, we reconstruct 13 historical genomes of the bacterial crop pathogen Xanthomonas citri pv. citri (Xci) from infected Citrus herbarium specimens. Following authentication based on ancient DNA damage patterns, we compare them with a large set of modern genomes to estimate their phylogenetic relationships, pathogenicity-associated gene content and several evolutionary parameters. Our results indicate that Xci originated in Southern Asia ~11,500 years ago (perhaps in relation to Neolithic climate change and the development of agriculture) and diversified during the beginning of the 13th century, after Citrus diversification and before spreading to the rest of the world (probably via human-driven expansion of citriculture through early East-West trade and colonization).
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Affiliation(s)
- Paola E Campos
- CIRAD, UMR PVBMT, F-97410, St Pierre, La Réunion, France
- Institut de Systématique, Évolution, Biodiversité (ISyEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, 57 rue Cuvier, CP 50, 75005, Paris, France
| | | | - Karine Boyer
- CIRAD, UMR PVBMT, F-97410, St Pierre, La Réunion, France
| | | | - Thuy Trang Cao
- CIRAD, UMR PVBMT, F-97410, St Pierre, La Réunion, France
| | - Myriam Gaudeul
- Institut de Systématique, Évolution, Biodiversité (ISyEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, 57 rue Cuvier, CP 50, 75005, Paris, France
- Herbier national, Muséum national d'Histoire naturelle, CP39, 57 rue Cuvier, 75005, Paris, France
| | - Cláudia Baider
- The Mauritius Herbarium, Agricultural Services, Ministry of Agro-Industry and Food Security, R.E. Vaughan Building (MSIRI Compound), Reduit, 80835, Mauritius
| | | | - Nathalie Becker
- Institut de Systématique, Évolution, Biodiversité (ISyEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, 57 rue Cuvier, CP 50, 75005, Paris, France
| | - Adrien Rieux
- CIRAD, UMR PVBMT, F-97410, St Pierre, La Réunion, France.
| | - Lionel Gagnevin
- PHIM Plant Health Institute, Univ. Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France.
- CIRAD, UMR PHIM, Montpellier, France.
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8
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Wei S, Chen G, Yang H, Huang L, Gong G, Luo P, Zhang M. Global molecular evolution and phylogeographic analysis of barley yellow dwarf virus based on the cp and mp genes. Virol J 2023; 20:130. [PMID: 37340422 DOI: 10.1186/s12985-023-02084-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 05/26/2023] [Indexed: 06/22/2023] Open
Abstract
Barley yellow dwarf virus (BYDV) has caused considerable losses in the global production of grain crops such as wheat, barley and maize. We investigated the phylodynamics of the virus by analysing 379 and 485 nucleotide sequences of the genes encoding the coat protein and movement protein, respectively. The maximum clade credibility tree indicated that BYDV-GAV and BYDV-MAV, BYDV-PAV and BYDV-PAS share the same evolutionary lineage, respectively. The diversification of BYDV arises from its adaptability to vector insects and geography. Bayesian phylogenetic analyses showed that the mean substitution rates of the coat and movement proteins of BYDV ranged from 8.327 × 10- 4 (4.700 × 10- 4-1.228 × 10- 3) and 8.671 × 10- 4 (6.143 × 10- 4-1.130 × 10- 3) substitutions/site/year, respectively. The time since the most recent common BYDV ancestor was 1434 (1040-1766) CE (Common Era). The Bayesian skyline plot (BSP) showed that the BYDV population experienced dramatic expansions approximately 8 years into the 21st century, followed by a dramatic decline in less than 15 years. Our phylogeographic analysis showed that the BYDV population originating in the United States was subsequently introduced to Europe, South America, Australia and Asia. The migration pathways of BYDV suggest that the global spread of BYDV is associated with human activities.
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Affiliation(s)
- Shiqing Wei
- College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China
| | - Guoliang Chen
- College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China
| | - Hui Yang
- College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China
| | - Liang Huang
- State Key Laboratory for the Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Guoshu Gong
- College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China
| | - PeiGao Luo
- College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China
| | - Min Zhang
- College of Agronomy, Sichuan Agricultural University, Chengdu, 611130, China.
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9
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Li YC, Gao ZL, Liu KJ, Tian JY, Yang BY, Rahman ZU, Yang LQ, Zhang SH, Li CT, Achilli A, Semino O, Torroni A, Kong QP. Mitogenome evidence shows two radiation events and dispersals of matrilineal ancestry from northern coastal China to the Americas and Japan. Cell Rep 2023:112413. [PMID: 37164007 DOI: 10.1016/j.celrep.2023.112413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 01/05/2023] [Accepted: 04/04/2023] [Indexed: 05/12/2023] Open
Abstract
Although it is widely recognized that the ancestors of Native Americans (NAs) primarily came from Siberia, the link between mitochondrial DNA (mtDNA) lineage D4h3a (typical of NAs) and D4h3b (found so far only in East China and Thailand) raises the possibility that the ancestral sources for early NAs were more variegated than hypothesized. Here, we analyze 216 contemporary (including 106 newly sequenced) D4h mitogenomes and 39 previously reported ancient D4h data. The results reveal two radiation events of D4h in northern coastal China, one during the Last Glacial Maximum and the other within the last deglaciation, which facilitated the dispersals of D4h sub-branches to different areas including the Americas and the Japanese archipelago. The coastal distributions of the NA (D4h3a) and Japanese lineages (D4h1a and D4h2), in combination with the Paleolithic archaeological similarities among Northern China, the Americas, and Japan, lend support to the coastal dispersal scenario of early NAs.
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Affiliation(s)
- Yu-Chun Li
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China
| | - Zong-Liang Gao
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China; University of Chinese Academy of Sciences, Beijing 100049, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Kai-Jun Liu
- Chengdu 23Mofang Biotechnology Co., Ltd., Tianfu Software Park, Chengdu, Sichuan 610042, China
| | - Jiao-Yang Tian
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China
| | - Bin-Yu Yang
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China
| | - Zia Ur Rahman
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China; University of Chinese Academy of Sciences, Beijing 100049, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Li-Qin Yang
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China
| | - Su-Hua Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China
| | - Cheng-Tao Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China
| | - Alessandro Achilli
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Ornella Semino
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Antonio Torroni
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Qing-Peng Kong
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, 650223, China; Kunming Key Laboratory of Healthy Aging Study, Kunming, Yunnan 650223, China.
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10
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Xiao J, Wang J, Lu H, Song Y, Sun D, Han Z, Li J, Yang Q, Yan D, Zhu S, Pei Y, Wang X, Xu W, Zhang Y. Genomic Epidemiology and Transmission Dynamics of Global Coxsackievirus B4. Viruses 2023; 15:v15020569. [PMID: 36851788 PMCID: PMC9961479 DOI: 10.3390/v15020569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/02/2023] [Accepted: 02/14/2023] [Indexed: 02/22/2023] Open
Abstract
The aim of this study was to determine the global genetic diversity and transmission dynamics of coxsackievirus B4 (CVB4) and to propose future directions for disease surveillance. Next-generation sequencing was performed to obtain the complete genome sequence of CVB4, and the genetic diversity and transmission dynamics of CVB4 worldwide were analyzed using bioinformatics methods such as phylogenetic analysis, evolutionary dynamics, and phylogeographic analysis. Forty complete genomes of CVB4 were identified from asymptomatic infected individuals and hand, foot, and mouth disease (HFMD) patients. Frequent recombination between CVB4 and EV-B multiple serotypes in the 3Dpol region was found and formed 12 recombinant patterns (A-L). Among these, the CVB4 isolated from asymptomatic infected persons and HFMD patients belonged to lineages H and I, respectively. Transmission dynamics analysis based on the VP1 region revealed that CVB4 epidemics in countries outside China were dominated by the D genotype, whereas the E genotype was dominant in China, and both genotypes evolved at a rate of > 6.50 × 10-3 substitutions/site/year. CVB4 spreads through the population unseen, with the risk of disease outbreaks persisting as susceptible individuals accumulate. Our findings add to publicly available CVB4 genomic sequence data and deepen our understanding of CVB4 molecular epidemiology.
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Affiliation(s)
- Jinbo Xiao
- WHO WPRO Regional Polio Reference Laboratory, National Laboratory for Poliomyelitis and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jianxing Wang
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Huanhuan Lu
- WHO WPRO Regional Polio Reference Laboratory, National Laboratory for Poliomyelitis and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yang Song
- WHO WPRO Regional Polio Reference Laboratory, National Laboratory for Poliomyelitis and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Dapeng Sun
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Zhenzhi Han
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 102206, China
| | - Jichen Li
- WHO WPRO Regional Polio Reference Laboratory, National Laboratory for Poliomyelitis and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Qian Yang
- WHO WPRO Regional Polio Reference Laboratory, National Laboratory for Poliomyelitis and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Dongmei Yan
- WHO WPRO Regional Polio Reference Laboratory, National Laboratory for Poliomyelitis and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Shuangli Zhu
- WHO WPRO Regional Polio Reference Laboratory, National Laboratory for Poliomyelitis and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yaowen Pei
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Xianjun Wang
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Wenbo Xu
- WHO WPRO Regional Polio Reference Laboratory, National Laboratory for Poliomyelitis and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan 430071, China
| | - Yong Zhang
- WHO WPRO Regional Polio Reference Laboratory, National Laboratory for Poliomyelitis and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan 430071, China
- Correspondence:
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11
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Dupas E, Durand K, Rieux A, Briand M, Pruvost O, Cunty A, Denancé N, Donnadieu C, Legendre B, Lopez-Roques C, Cesbron S, Ravigné V, Jacques MA. Suspicions of two bridgehead invasions of Xylella fastidiosa subsp. multiplex in France. Commun Biol 2023; 6:103. [PMID: 36707697 PMCID: PMC9883466 DOI: 10.1038/s42003-023-04499-6] [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: 02/24/2022] [Accepted: 01/18/2023] [Indexed: 01/29/2023] Open
Abstract
Of American origin, a wide diversity of Xylella fastidiosa strains belonging to different subspecies have been reported in Europe since 2013 and its discovery in Italian olive groves. Strains from the subspecies multiplex (ST6 and ST7) were first identified in France in 2015 in urban and natural areas. To trace back the most probable scenario of introduction in France, the molecular evolution rate of this subspecies was estimated at 3.2165 × 10-7 substitutions per site per year, based on heterochronous genome sequences collected worldwide. This rate allowed the dating of the divergence between French and American strains in 1987 for ST6 and in 1971 for ST7. The development of a new VNTR-13 scheme allowed tracing the spread of the bacterium in France, hypothesizing an American origin. Our results suggest that both sequence types were initially introduced and spread in Provence-Alpes-Côte d'Azur (PACA); then they were introduced in Corsica in two waves from the PACA bridgehead populations.
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Affiliation(s)
- Enora Dupas
- grid.7252.20000 0001 2248 3363Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France ,French Agency for Food, Environmental and Occupational Health & Safety, Plant Health Laboratory, Angers, France
| | - Karine Durand
- grid.7252.20000 0001 2248 3363Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France
| | - Adrien Rieux
- CIRAD, UMR PVBMT, F-97410 Saint Pierre, La Réunion France
| | - Martial Briand
- grid.7252.20000 0001 2248 3363Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France
| | | | - Amandine Cunty
- French Agency for Food, Environmental and Occupational Health & Safety, Plant Health Laboratory, Angers, France
| | - Nicolas Denancé
- grid.7252.20000 0001 2248 3363Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France
| | - Cécile Donnadieu
- grid.507621.7INRAE, US 1426, GeT-PlaGe, Genotoul, Castanet-Tolosan, France
| | - Bruno Legendre
- French Agency for Food, Environmental and Occupational Health & Safety, Plant Health Laboratory, Angers, France
| | | | - Sophie Cesbron
- grid.7252.20000 0001 2248 3363Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France
| | - Virginie Ravigné
- grid.8183.20000 0001 2153 9871CIRAD, UMR PHIM, F-34398 Montpellier, France
| | - Marie-Agnès Jacques
- grid.7252.20000 0001 2248 3363Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France
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12
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Kozakiewicz CP, Burridge CP, Lee JS, Kraberger SJ, Fountain-Jones NM, Fisher RN, Lyren LM, Jennings MK, Riley SPD, Serieys LEK, Craft ME, Funk WC, Crooks KR, VandeWoude S, Carver S. Habitat connectivity and host relatedness influence virus spread across an urbanising landscape in a fragmentation-sensitive carnivore. Virus Evol 2022; 9:veac122. [PMID: 36694819 PMCID: PMC9865512 DOI: 10.1093/ve/veac122] [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: 08/04/2022] [Revised: 10/22/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
Spatially heterogeneous landscape factors such as urbanisation can have substantial effects on the severity and spread of wildlife diseases. However, research linking patterns of pathogen transmission to landscape features remains rare. Using a combination of phylogeographic and machine learning approaches, we tested the influence of landscape and host factors on feline immunodeficiency virus (FIVLru) genetic variation and spread among bobcats (Lynx rufus) sampled from coastal southern California. We found evidence for increased rates of FIVLru lineage spread through areas of higher vegetation density. Furthermore, single-nucleotide polymorphism (SNP) variation among FIVLru sequences was associated with host genetic distances and geographic location, with FIVLru genetic discontinuities precisely correlating with known urban barriers to host dispersal. An effect of forest land cover on FIVLru SNP variation was likely attributable to host population structure and differences in forest land cover between different populations. Taken together, these results suggest that the spread of FIVLru is constrained by large-scale urban barriers to host movement. Although urbanisation at fine spatial scales did not appear to directly influence virus transmission or spread, we found evidence that viruses transmit and spread more quickly through areas containing higher proportions of natural habitat. These multiple lines of evidence demonstrate how urbanisation can change patterns of contact-dependent pathogen transmission and provide insights into how continued urban development may influence the incidence and management of wildlife disease.
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Affiliation(s)
| | | | - Justin S Lee
- Genomic Sequencing Laboratory, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA
| | | | | | - Robert N Fisher
- Western Ecological Research Center, U.S. Geological Survey, San Diego, CA 92101, USA
| | - Lisa M Lyren
- Western Ecological Research Center, U.S. Geological Survey, San Diego, CA 92101, USA
| | - Megan K Jennings
- Biology Department, San Diego State University, San Diego, CA 92182, USA
| | - Seth P D Riley
- National Park Service, Santa Monica Mountains National Recreation Area, Thousand Oaks, CA 91360, USA
| | | | - Meggan E Craft
- Department of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN 55108, USA
| | - W Chris Funk
- Department of Biology, Colorado State University, Fort Collins, CO 80523, USA,Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA
| | - Kevin R Crooks
- Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA,Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - Sue VandeWoude
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO 80523, USA
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13
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Cohn AR, Orsi RH, Carroll LM, Liao J, Wiedmann M, Cheng RA. Salmonella enterica serovar Cerro displays a phylogenetic structure and genomic features consistent with virulence attenuation and adaptation to cattle. Front Microbiol 2022; 13:1005215. [PMID: 36532462 PMCID: PMC9748477 DOI: 10.3389/fmicb.2022.1005215] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/07/2022] [Indexed: 07/30/2023] Open
Abstract
Salmonella enterica subsp. enterica (S.) serovar Cerro is rarely isolated from human clinical cases of salmonellosis but represents the most common serovar isolated from cattle without clinical signs of illness in the United States. In this study, using a large, diverse set of 316 isolates, we utilized genomic methods to further elucidate the evolutionary history of S. Cerro and to identify genomic features associated with its apparent virulence attenuation in humans. Phylogenetic analyses showed that within this polyphyletic serovar, 98.4% of isolates (311/316) represent a monophyletic clade within section Typhi and the remaining 1.6% of isolates (5/316) form a monophyletic clade within subspecies enterica Clade A1. Of the section Typhi S. Cerro isolates, 93.2% of isolates (290/311) clustered into a large clonal clade comprised of predominantly sequence type (ST) 367 cattle and environmental isolates, while the remaining 6.8% of isolates (21/311), primarily from human clinical sources, clustered outside of this clonal clade. A tip-dated phylogeny of S. Cerro ST367 identified two major clades (I and II), one of which overwhelmingly consisted of cattle isolates that share a most recent common ancestor that existed circa 1975. Gene presence/absence and rarefaction curve analyses suggested that the pangenome of section Typhi S. Cerro is open, potentially reflecting the gain/loss of prophage; human isolates contained the most open pangenome, while cattle isolates had the least open pangenome. Hypothetically disrupted coding sequences (HDCs) displayed clade-specific losses of intact speC and sopA virulence genes within the large clonal S. Cerro clade, while loss of intact vgrG, araH, and vapC occurred in all section Typhi S. Cerro isolates. Further phenotypic analysis suggested that the presence of a premature stop codon in speC does not abolish ornithine decarboxylase activity in S. Cerro, likely due to the activity of the second ornithine decarboxylase encoded by speF, which remained intact in all isolates. Overall, our study identifies specific genomic features associated with S. Cerro's infrequent isolation from humans and its apparent adaptation to cattle, which has broader implications for informing our understanding of the evolutionary events facilitating host adaptation in Salmonella.
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Affiliation(s)
- Alexa R. Cohn
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | - Renato H. Orsi
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | - Laura M. Carroll
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Jingqiu Liao
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, United States
| | - Martin Wiedmann
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | - Rachel A. Cheng
- Department of Food Science, Cornell University, Ithaca, NY, United States
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14
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Genomic Epidemiology and Phylodynamic Analysis of Enterovirus A71 Reveal Its Transmission Dynamics in Asia. Microbiol Spectr 2022; 10:e0195822. [PMID: 36200890 PMCID: PMC9603238 DOI: 10.1128/spectrum.01958-22] [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] [Indexed: 12/31/2022] Open
Abstract
Enterovirus A71 (EV-A71) is one of the main pathogens causing hand, foot, and mouth disease (HFMD) outbreaks in Asian children under 5 years of age. In severe cases, it can cause neurological complications and be life-threatening. In this study, 200 newly sequenced EV-A71 whole-genome sequences were combined with 772 EV-A71 sequences from GenBank for large-scale analysis to investigate global EV-A71 epidemiology, phylogeny, and Bayesian phylodynamic characteristics. Based on the phylogenetic analysis of the EV-A71 3Dpol region, six new evolutionary lineages (lineages B, J, K, O, P, and Q) were found in this study, and the number of evolutionary lineages was expanded from 11 to 17. Temporal dynamics and recombination breakpoint analyses based on genotype C revealed that recombination of nonstructural protein-coding regions, including 3Dpol, is an important reason for the emergence of new lineages. The EV-A71 epidemic in the Asia-Pacific region is complex, and phylogeographic analysis found that Vietnam played a key role in the spread of subgenotypes B5 and C4. The origin of EV-A71 subgenotype C4 in China is East China, which is closely related to the prevalence of subgenotype C4 in the south and throughout China. Selection pressure analysis revealed that, in addition to VP1 amino acid residues VP1-98 and VP1-145, which are associated with EV-A71 pathogenicity, amino acid residues VP1-184 and VP1-249 were also positively selected, and their functions still need to be determined by biology and immunology. This study aimed to provide a solid theoretical basis for EV-A71-related disease surveillance and prevention, antiviral research, and vaccine development through a comprehensive analysis. IMPORTANCE EV-A71 is one of the most important pathogens causing HFMD outbreaks; however, large-scale studies of EV-A71 genomic epidemiology are currently lacking. In this study, 200 new EV-A71 whole-genome sequences were determined. Combining these with 772 EV-A71 whole-genome sequences in the GenBank database, the evolutionary and transmission characteristics of global and Asian EV-A71 were analyzed. Six new evolutionary lineages were identified in this study. We also found that recombination in nonstructural protein-coding regions, including 3Dpol, is an important cause for the emergence of new lineages. The results provided a solid theoretical basis for EV-A71-related disease surveillance and prevention, antiviral research, and vaccine development.
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15
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Hu S, Xu H, Meng X, Bai X, Xu J, Ji J, Ying C, Chen Y, Shen P, Zhou Y, Zheng B, Xiao Y. Population genomics of emerging Elizabethkingia anophelis pathogens reveals potential outbreak and rapid global dissemination. Emerg Microbes Infect 2022; 11:2590-2599. [PMID: 36197077 DOI: 10.1080/22221751.2022.2132880] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Elizabethkingia anophelis is an emerging species and have increasingly been reported to cause life-threatening infections and even outbreaks in humans. Nevertheless, there is little data regarding the E. anophelis geographical distribution, phylogenetic structure, and transmission across the globe, especially in Asia. We utilize whole genome sequencing (WGS) data to define a global population framework, phylogenetic structure, geographical distribution, and transmission evaluation of E. anophelis pathogens. The geographical distribution diagram revealed the emerging pathogenic bacteria already distributed in various countries worldwide, especially in the USA and China. Strikingly, phylogenetic analysis showed a part of our China original E. anophelis shared the same ancestor with the USA outbreak strain, which implies the possibility of localized outbreaks and global spread. These closer related strains also contained ICEEaI, which might insert into a disrupted DNA repair mutY gene and made the strain more liable to mutation and outbreak infection. BEAST analysis showed that the most recent common ancestor for ICEEaI E. anophelis was dated twelve years ago, and China might be the most likely recent source of this bacteria. Our study sheds light on the potential possibility of E. anophelis causing the large-scale outbreak and rapid global dissemination. Continued genomic surveillance of the dynamics of E. anophelis populations will generate further knowledge for optimizing future prevent global outbreak infections.
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Affiliation(s)
- Shaohua Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Hao Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaohua Meng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiangxiang Bai
- Bioinformatics Institute, Novogene Bioinformatics Technology Co., Ltd, Beijing, China
| | - Junli Xu
- Bioinformatics Institute, Novogene Bioinformatics Technology Co., Ltd, Beijing, China
| | - Jinru Ji
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chaoqun Ying
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yunbo Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Ping Shen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yunxiao Zhou
- Department of Obstetrics & Gynecology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Beiwen Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Yonghong Xiao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
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16
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Merker M, Rasigade JP, Barbier M, Cox H, Feuerriegel S, Kohl TA, Shitikov E, Klaos K, Gaudin C, Antoine R, Diel R, Borrell S, Gagneux S, Nikolayevskyy V, Andres S, Crudu V, Supply P, Niemann S, Wirth T. Transcontinental spread and evolution of Mycobacterium tuberculosis W148 European/Russian clade toward extensively drug resistant tuberculosis. Nat Commun 2022; 13:5105. [PMID: 36042200 PMCID: PMC9426364 DOI: 10.1038/s41467-022-32455-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 08/01/2022] [Indexed: 11/09/2022] Open
Abstract
Transmission-driven multi-/extensively drug resistant (M/XDR) tuberculosis (TB) is the largest single contributor to human mortality due to antimicrobial resistance. A few major clades of the Mycobacterium tuberculosis complex belonging to lineage 2, responsible for high prevalence of MDR-TB in Eurasia, show outstanding transnational distributions. Here, we determined factors underlying the emergence and epidemic spread of the W148 clade by genome sequencing and Bayesian demogenetic analyses of 720 isolates from 23 countries. We dated a common ancestor around 1963 and identified two successive epidemic expansions in the late 1980s and late 1990s, coinciding with major socio-economic changes in the post-Soviet Era. These population expansions favored accumulation of resistance mutations to up to 11 anti-TB drugs, with MDR evolving toward additional resistances to fluoroquinolones and second-line injectable drugs within 20 years on average. Timescaled haplotypic density analysis revealed that widespread acquisition of compensatory mutations was associated with transmission success of XDR strains. Virtually all W148 strains harbored a hypervirulence-associated ppe38 gene locus, and incipient recurrent emergence of prpR mutation-mediated drug tolerance was detected. The outstanding genetic arsenal of this geographically widespread M/XDR strain clade represents a “perfect storm” that jeopardizes the successful introduction of new anti-M/XDR-TB antibiotic regimens. An outbreak of the multidrug-resistant Mycobacterium tuberculosis lineage W148 has spread widely across Russia, Central Asia and Europe. Here, the authors use whole genome sequences of ~700 isolates of this lineage collected over ~20 years to analyze its spread, evolution of drug resistance, and impact of compensatory mutations.
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Affiliation(s)
- Matthias Merker
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.,Evolution of the Resistome, Research Center Borstel, Borstel, Germany
| | - Jean-Philippe Rasigade
- EPHE, PSL University, Paris, France.,Institut de Systématique, Evolution, Biodiversité, ISYEB, Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France.,Centre International de Recherche en Infectiologie, INSERM U1111, CNRS UMR5308, Université Lyon 1, ENS de Lyon, Lyon, France
| | - Maxime Barbier
- EPHE, PSL University, Paris, France.,Institut de Systématique, Evolution, Biodiversité, ISYEB, Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France
| | - Helen Cox
- Division of Medical Microbiology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Silke Feuerriegel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Thomas A Kohl
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Egor Shitikov
- Federal Research and Clinical Centre of Physical-Chemical Medicine, Moscow, Russian Federation
| | - Kadri Klaos
- SA TUH United Laboratories, Mycobacteriology, Tartu, Estonia
| | | | - Rudy Antoine
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 - CIIL - Centre d'Infection et d'Immunité de Lille, F-59000, Lille, France
| | - Roland Diel
- Institute for Epidemiology, Schleswig-Holstein University Hospital, Kiel, Germany.,Lung Clinic Grosshansdorf, German Center for Lung Research (DZL), Airway Research Center North (ARCN), 22927, Großhansdorf, Germany
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland.,University of Basel, Basel, Switzerland
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland.,University of Basel, Basel, Switzerland
| | | | - Sönke Andres
- National and WHO Supranational Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - Valeriu Crudu
- National TB Reference Laboratory, Institute of Phthisiopneumology, Chisinau, Moldova
| | - Philip Supply
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 - CIIL - Centre d'Infection et d'Immunité de Lille, F-59000, Lille, France.
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany. .,German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.
| | - Thierry Wirth
- EPHE, PSL University, Paris, France. .,Institut de Systématique, Evolution, Biodiversité, ISYEB, Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France.
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17
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Sun RY, Guo WY, Zhang JX, Wang MG, Wang LL, Lian XL, Ke BX, Sun J, Ke CW, Liu YH, Liao XP, Fang LX. Phylogenomic analysis of Salmonella Indiana ST17, an emerging MDR clonal group in China. J Antimicrob Chemother 2022; 77:2937-2945. [PMID: 35880764 DOI: 10.1093/jac/dkac243] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 06/24/2022] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES To reconstruct the genomic epidemiology and evolution of MDR Salmonella Indiana in China. METHODS A total of 108 Salmonella Indiana strains were collected from humans and livestock in China. All isolates were subjected to WGS and antimicrobial susceptibility testing. Phylogenetic relationships and evolutionary analyses were conducted using WGS data from this study and the NCBI database. RESULTS Almost all 108 Salmonella Indiana strains displayed the MDR phenotype. Importantly, 84 isolates possessed concurrent resistance to ciprofloxacin and cefotaxime. WGS analysis revealed that class 1 integrons on the chromosome and IncHI2 plasmids were the key vectors responsible for multiple antibiotic resistance gene (ARG) [including ESBL and plasmid-mediated quinolone resistance (PMQR) genes] transmission among Salmonella Indiana. The 108 Salmonella Indiana dataset displayed a relatively large core genome and ST17 was the predominant ST. Moreover, the global ST17 Salmonella Indiana strains could be divided into five distinct lineages, each of which was significantly associated with a geographical distribution. Genomic analysis revealed multiple antimicrobial resistance determinants and QRDR mutations in Chinese lineages, which almost did not occur in other global lineages. Using molecular clock analysis, we hypothesized that ST17 isolates have existed since 1956 and underwent a major population expansion from the 1980s to the 2000s and the genetic diversity started to decrease around 2011, probably due to geographical barriers, antimicrobial selective pressure and MDR, favouring the establishment of this prevalent multiple antibiotic-resistant lineage and local epidemics. CONCLUSIONS This study revealed that adaptation to antimicrobial pressure was possibly pivotal in the recent evolutionary trajectory for the clonal spread of ST17 Salmonella Indiana in China.
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Affiliation(s)
- Ruan Yang Sun
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, P. R. China
| | - Wen Ying Guo
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, P. R. China
| | - Ji Xing Zhang
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, P. R. China
| | - Min Ge Wang
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, P. R. China
| | - Lin Lin Wang
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, P. R. China
| | - Xin Lei Lian
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, P. R. China
| | - Bi Xia Ke
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, P. R. China
| | - Jian Sun
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, P. R. China
| | - Chang Wen Ke
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, P. R. China
| | - Ya Hong Liu
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, Jiangsu, P. R. China
| | - Xiao Ping Liao
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, P. R. China
| | - Liang Xing Fang
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou, Guangdong, P. R. China.,Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, Guangdong, P. R. China
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18
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Willgert K, Didelot X, Surendran-Nair M, Kuchipudi SV, Ruden RM, Yon M, Nissly RH, Vandegrift KJ, Nelli RK, Li L, Jayarao BM, Levine N, Olsen RJ, Davis JJ, Musser JM, Hudson PJ, Kapur V, Conlan AJK. Transmission history of SARS-CoV-2 in humans and white-tailed deer. Sci Rep 2022; 12:12094. [PMID: 35840592 PMCID: PMC9284484 DOI: 10.1038/s41598-022-16071-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/04/2022] [Indexed: 11/30/2022] Open
Abstract
The emergence of a novel pathogen in a susceptible population can cause rapid spread of infection. High prevalence of SARS-CoV-2 infection in white-tailed deer (Odocoileus virginianus) has been reported in multiple locations, likely resulting from several human-to-deer spillover events followed by deer-to-deer transmission. Knowledge of the risk and direction of SARS-CoV-2 transmission between humans and potential reservoir hosts is essential for effective disease control and prioritisation of interventions. Using genomic data, we reconstruct the transmission history of SARS-CoV-2 in humans and deer, estimate the case finding rate and attempt to infer relative rates of transmission between species. We found no evidence of direct or indirect transmission from deer to human. However, with an estimated case finding rate of only 4.2%, spillback to humans cannot be ruled out. The extensive transmission of SARS-CoV-2 within deer populations and the large number of unsampled cases highlights the need for active surveillance at the human–animal interface.
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Affiliation(s)
- Katriina Willgert
- Disease Dynamics Unit (DDU), Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
| | - Xavier Didelot
- School of Life Sciences and Department of Statistics, University of Warwick, Coventry, UK
| | - Meera Surendran-Nair
- Animal Diagnostic Laboratory, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.,Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Suresh V Kuchipudi
- Animal Diagnostic Laboratory, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.,Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Rachel M Ruden
- Wildlife Bureau, Iowa Department of Natural Resources, Des Moines, IA, USA.,Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Michele Yon
- Animal Diagnostic Laboratory, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Ruth H Nissly
- Animal Diagnostic Laboratory, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.,Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Kurt J Vandegrift
- The Center for Infectious Disease Dynamics, Department of Biology and Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Rahul K Nelli
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Lingling Li
- Animal Diagnostic Laboratory, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Bhushan M Jayarao
- Animal Diagnostic Laboratory, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Nicole Levine
- Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.,Department of Animal Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Randall J Olsen
- Laboratory of Molecular and Translational Human Infectious Disease Research, Center for Infectious Diseases, Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, 77030, USA.,Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, 10021, USA.,Department of Microbiology and Immunology, Weill Cornell Medical College, New York, NY, 10021, USA
| | - James J Davis
- University of Chicago Consortium for Advanced Science and Engineering, University of Chicago, Chicago, USA.,Division of Data Science and Learning, Argonne National Laboratory, Lemont, IL, 60439, USA
| | - James M Musser
- Laboratory of Molecular and Translational Human Infectious Disease Research, Center for Infectious Diseases, Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, 77030, USA.,Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, 10021, USA.,Department of Microbiology and Immunology, Weill Cornell Medical College, New York, NY, 10021, USA
| | - Peter J Hudson
- The Center for Infectious Disease Dynamics, Department of Biology and Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Vivek Kapur
- Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.,Department of Animal Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Andrew J K Conlan
- Disease Dynamics Unit (DDU), Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
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19
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Ma H, Li W, Zhang M, Yang Z, Lin L, Ghonaim AH, He Q. The Diversity and Spatiotemporally Evolutionary Dynamic of Atypical Porcine Pestivirus in China. Front Microbiol 2022; 13:937918. [PMID: 35814668 PMCID: PMC9263985 DOI: 10.3389/fmicb.2022.937918] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 05/30/2022] [Indexed: 02/04/2023] Open
Abstract
The presence of congenital tremor (CT) type A-II in newborn piglets, caused by atypical porcine pestivirus (APPV), has been a focus since 2016. However, the source, evolutionary history, and transmission pattern of APPV in China remain poorly understood. In this study, we undertook phylogenetic analyses based on available complete E2 gene sequences along with 98 newly sequenced E2 genes between 2016 and 2020 in China within the context of global genetic diversity. The phylogenies revealed four distinct lineages of APPV, and interestingly, all lineages could be detected in China with the greatest diversity. Bayesian phylogenetic analyses showed that the E2 gene evolves at a mean rate of 1.22 × 10−3 (8.54 × 10−4-1.60 × 10−3) substitutions/site/year. The most recent common ancestor for APPVs is dated to 1886 (1837–1924) CE, somewhat earlier than the documented emergence of CT (1922 CE). Our phylogeographic analyses suggested that the APPV population possibly originated in the Netherlands, a country with developed livestock husbandry, and was introduced into China during the period 1837–2010. Guangdong, as a primary seeding population together with Central and Southwest China as epidemic linkers, was responsible for the dispersal of APPVs in China. The transmission pattern of “China lineages” (lineage 3 and lineage 4) presented a “south to north” movement tendency, which was likely associated with the implementation of strict environmental policy in China since 2000. Reconstruction of demographic history showed that APPV population size experienced multiple changes, which correlated well with the dynamic of the number of pigs in the past decades in China. Besides, positively selected pressure and geography-driven adaptation were supposed to be key factors for the diversification of APPV lineages. Our findings provide comprehensive insights into the diversity and spatiotemporal dynamic of APPV in China.
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Affiliation(s)
- Hailong Ma
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Wentao Li
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Mengjia Zhang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Zhengxin Yang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Lili Lin
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Ahmed H. Ghonaim
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
- Desert Research Center, Cairo, Egypt
| | - Qigai He
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
- *Correspondence: Qigai He
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20
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Divergent Viruses Discovered in Swine Alter the Understanding of Evolutionary History and Genetic Diversity of the Respirovirus Genus and Related Porcine Parainfluenza Viruses. Microbiol Spectr 2022; 10:e0024222. [PMID: 35647875 PMCID: PMC9241844 DOI: 10.1128/spectrum.00242-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Paramyxoviridae is a rapidly growing family of viruses, whose potential for cross-species transmission makes it difficult to predict the harm of newly emerging viruses to humans and animals. To better understand their diversity, evolutionary history, and co-evolution with their hosts, we analyzed a collection of porcine parainfluenza virus (PPIV) genomes to reconstruct the species classification basis and evolutionary history of the Respirovirus genus. We sequenced 17 complete genomes of porcine respirovirus 1 (also known as porcine parainfluenza virus 1; PPIV-1), thereby nearly tripling the number of currently available PPIV-1 genomes. We found that PPIV-1 was widely prevalent in China with two divergent lineages, PPIV-1a and PPIV-1b. We further provided evidence that a new species, porcine parainfluenza virus 2 (PPIV-2), had recently emerged in China. Our results pointed to a need for revising the current species demarcation criteria of the Respirovirus genus. In addition, we used PPIV-1 as an example to explore recombination and diversity of the Respirovirus genus. Interestingly, we only detected heterosubtypic recombination events between PPIV-1a and PPIV-1b with no intrasubtypic recombination events. The recombination hotspots highlighted a diverse geography-dependent genome structure of paramyxovirus infecting swine in China. Furthermore, we found no evidence of co-evolution between respirovirus and its host, indicating frequent cross-species transmission. In summary, our analyses showed that swine can be infected with a broad range of respiroviruses and recombination may serve as an important evolutionary mechanism for the Respirovirus genus’ greater diversity in genome structure than previously anticipated. IMPORTANCE Livestock have emerged as critically underrecognized sources of paramyxovirus diversity, including pigs serving as the source of Nipah virus (NiV) and swine parainfluenza virus type 3, and goats and bovines harboring highly divergent viral lineages. Here, we identified a new species of Respirovirus genus named PPIV-2 in swine and proposed to revise the species demarcation criteria of the Respirovirus genus. We found heterosubtypic recombination events and high genetic diversity in PPIV-1. Further, we showed that genetic recombination may have occurred in the Respirovirus genus which may be associated with host range expansion. The continued expansion of Respirovirus genus diversity in livestock with relatively high human contact rates requires enhanced surveillance and ongoing evaluation of emerging cross-species transmission threats.
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21
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Verry AJF, Mitchell KJ, Rawlence NJ. Genetic evidence for post-glacial expansion from a southern refugium in the eastern moa ( Emeus crassus). Biol Lett 2022; 18:20220013. [PMID: 35538842 PMCID: PMC9091836 DOI: 10.1098/rsbl.2022.0013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 04/20/2022] [Indexed: 12/14/2022] Open
Abstract
Cycles of glacial expansion and contraction throughout the Pleistocene drove increases and decreases, respectively, in the geographical range and population size of many animal species. Genetic data have revealed that during glacial maxima the distribution of many Eurasian animals was restricted to small refugial areas, from which species expanded to reoccupy parts of their former range as the climate warmed. It has been suggested that the extinct eastern moa (Emeus crassus)-a large, flightless bird from New Zealand-behaved analogously during glacial maxima, possibly surviving only in a restricted area of lowland habitat in the southern South Island of New Zealand during the Last Glacial Maximum (LGM). However, previous studies have lacked the power and geographical sampling to explicitly test this hypothesis using genetic data. Here we analyse 46 ancient mitochondrial genomes from Late Pleistocene and Holocene bones of the eastern moa from across their post-LGM distribution. Our results are consistent with a post-LGM increase in the population size and genetic diversity of eastern moa. We also demonstrate that genetic diversity was higher in eastern moa from the southern extent of their range, supporting the hypothesis that they expanded from a single glacial refugium following the LGM.
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Affiliation(s)
- Alexander J. F. Verry
- Otago Palaeogenetics Laboratory, Department of Zoology, University of Otago, Dunedin, New Zealand
- Centre for Anthropobiology and Genomics of Toulouse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France
| | - Kieren J. Mitchell
- Otago Palaeogenetics Laboratory, Department of Zoology, University of Otago, Dunedin, New Zealand
| | - Nicolas J. Rawlence
- Otago Palaeogenetics Laboratory, Department of Zoology, University of Otago, Dunedin, New Zealand
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22
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Evidence for local and international spread of Mycobacterium avium subspecies paratuberculosis through whole genome sequencing of isolates from the island of Ireland. Vet Microbiol 2022; 268:109416. [DOI: 10.1016/j.vetmic.2022.109416] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 01/14/2022] [Accepted: 04/01/2022] [Indexed: 12/18/2022]
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23
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Shen ZJ, Jia H, Xie CD, Shagainar J, Feng Z, Zhang X, Li K, Zhou R. Bayesian Phylodynamic Analysis Reveals the Dispersal Patterns of African Swine Fever Virus. Viruses 2022; 14:v14050889. [PMID: 35632631 PMCID: PMC9147906 DOI: 10.3390/v14050889] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 04/01/2022] [Accepted: 04/05/2022] [Indexed: 02/07/2023] Open
Abstract
The evolutionary and demographic history of African swine fever virus (ASFV) is potentially quite valuable for developing efficient and sustainable management strategies. In this study, we performed phylogenetic, phylodynamic, and phylogeographic analyses of worldwide ASFV based on complete ASFV genomes, B646L gene, and E183L gene sequences obtained from NCBI to understand the epidemiology of ASFV. Bayesian phylodynamic analysis and phylogenetic analysis showed highly similar results of group clustering between E183L and the complete genome. The evidence of migration and the demographic history of ASFV were also revealed by the Bayesian phylodynamic analysis. The evolutionary rate was estimated to be 1.14 × 10−5 substitution/site/year. The large out-migration from the viral population in South Africa played a crucial role in spreading the virus worldwide. Our study not only provides resources for the better utilization of genomic data but also reveals the comprehensive worldwide evolutionary history of ASFV with a broad sampling window across ~70 years. The characteristics of the virus spatiotemporal transmission are also elucidated, which could be of great importance for devising strategies to control the virus.
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Affiliation(s)
- Zhao-Ji Shen
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.-J.S.); (H.J.); (C.-D.X.); (J.S.)
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan 528231, China;
| | - Hong Jia
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.-J.S.); (H.J.); (C.-D.X.); (J.S.)
| | - Chun-Di Xie
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.-J.S.); (H.J.); (C.-D.X.); (J.S.)
| | - Jurmt Shagainar
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.-J.S.); (H.J.); (C.-D.X.); (J.S.)
| | - Zheng Feng
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan 528231, China;
| | - Xiaodong Zhang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China;
| | - Kui Li
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
- Correspondence: (K.L.); (R.Z.)
| | - Rong Zhou
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.-J.S.); (H.J.); (C.-D.X.); (J.S.)
- Correspondence: (K.L.); (R.Z.)
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Zehr JD, Pond SLK, Martin DP, Ceres K, Whittaker GR, Millet JK, Goodman LB, Stanhope MJ. Recent Zoonotic Spillover and Tropism Shift of a Canine Coronavirus Is Associated with Relaxed Selection and Putative Loss of Function in NTD Subdomain of Spike Protein. Viruses 2022; 14:v14050853. [PMID: 35632597 PMCID: PMC9145938 DOI: 10.3390/v14050853] [Citation(s) in RCA: 3] [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: 03/08/2022] [Revised: 04/07/2022] [Accepted: 04/19/2022] [Indexed: 02/04/2023] Open
Abstract
A canine coronavirus (CCoV) has now been reported from two independent human samples from Malaysia (respiratory, collected in 2017–2018; CCoV-HuPn-2018) and Haiti (urine, collected in 2017); these two viruses were nearly genetically identical. In an effort to identify any novel adaptations associated with this apparent shift in tropism we carried out detailed evolutionary analyses of the spike gene of this virus in the context of related Alphacoronavirus 1 species. The spike 0-domain retains homology to CCoV2b (enteric infections) and Transmissible Gastroenteritis Virus (TGEV; enteric and respiratory). This domain is subject to relaxed selection pressure and an increased rate of molecular evolution. It contains unique amino acid substitutions, including within a region important for sialic acid binding and pathogenesis in TGEV. Overall, the spike gene is extensively recombinant, with a feline coronavirus type II strain serving a prominent role in the recombinant history of the virus. Molecular divergence time for a segment of the gene where temporal signal could be determined, was estimated at around 60 years ago. We hypothesize that the virus had an enteric origin, but that it may be losing that particular tropism, possibly because of mutations in the sialic acid binding region of the spike 0-domain.
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Affiliation(s)
- Jordan D. Zehr
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA; (J.D.Z.); (S.L.K.P.)
| | - Sergei L. Kosakovsky Pond
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA; (J.D.Z.); (S.L.K.P.)
| | - Darren P. Martin
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Observatory, Cape Town 7549, South Africa;
| | - Kristina Ceres
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY 14853, USA; (K.C.); (G.R.W.); (L.B.G.)
| | - Gary R. Whittaker
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY 14853, USA; (K.C.); (G.R.W.); (L.B.G.)
- Department of Microbiology and Immunology, Cornell University, Ithaca, NY 14853, USA
| | - Jean K. Millet
- Unité de Virologie et Immunologie Moléculaires, UVSQ, INRAE, Université Paris-Saclay, 78350 Jouy-en-Josas, France;
| | - Laura B. Goodman
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY 14853, USA; (K.C.); (G.R.W.); (L.B.G.)
- Baker Institute for Animal Health, Cornell University, Ithaca, NY 14850, USA
| | - Michael J. Stanhope
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY 14853, USA; (K.C.); (G.R.W.); (L.B.G.)
- Correspondence:
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Beale MA, Marks M, Cole MJ, Lee MK, Pitt R, Ruis C, Balla E, Crucitti T, Ewens M, Fernández-Naval C, Grankvist A, Guiver M, Kenyon CR, Khairullin R, Kularatne R, Arando M, Molini BJ, Obukhov A, Page EE, Petrovay F, Rietmeijer C, Rowley D, Shokoples S, Smit E, Sweeney EL, Taiaroa G, Vera JH, Wennerås C, Whiley DM, Williamson DA, Hughes G, Naidu P, Unemo M, Krajden M, Lukehart SA, Morshed MG, Fifer H, Thomson NR. Global phylogeny of Treponema pallidum lineages reveals recent expansion and spread of contemporary syphilis. Nat Microbiol 2021; 6:1549-1560. [PMID: 34819643 PMCID: PMC8612932 DOI: 10.1038/s41564-021-01000-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 10/20/2021] [Indexed: 12/26/2022]
Abstract
Syphilis, which is caused by the sexually transmitted bacterium Treponema pallidum subsp. pallidum, has an estimated 6.3 million cases worldwide per annum. In the past ten years, the incidence of syphilis has increased by more than 150% in some high-income countries, but the evolution and epidemiology of the epidemic are poorly understood. To characterize the global population structure of T. pallidum, we assembled a geographically and temporally diverse collection of 726 genomes from 626 clinical and 100 laboratory samples collected in 23 countries. We applied phylogenetic analyses and clustering, and found that the global syphilis population comprises just two deeply branching lineages, Nichols and SS14. Both lineages are currently circulating in 12 of the 23 countries sampled. We subdivided T. p. pallidum into 17 distinct sublineages to provide further phylodynamic resolution. Importantly, two Nichols sublineages have expanded clonally across 9 countries contemporaneously with SS14. Moreover, pairwise genome analyses revealed examples of isolates collected within the last 20 years from 14 different countries that had genetically identical core genomes, which might indicate frequent exchange through international transmission. It is striking that most samples collected before 1983 are phylogenetically distinct from more recently isolated sublineages. Using Bayesian temporal analysis, we detected a population bottleneck occurring during the late 1990s, followed by rapid population expansion in the 2000s that was driven by the dominant T. pallidum sublineages circulating today. This expansion may be linked to changing epidemiology, immune evasion or fitness under antimicrobial selection pressure, since many of the contemporary syphilis lineages we have characterized are resistant to macrolides.
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Affiliation(s)
- Mathew A Beale
- Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton, UK.
| | - Michael Marks
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
- Hospital for Tropical Diseases, University College London Hospitals NHS Foundation Trust, London, UK
| | - Michelle J Cole
- HCAI, Fungal, AMR, AMU and Sepsis Division, UK Health Security Agency, London, UK
| | - Min-Kuang Lee
- British Columbia Centre for Disease Control, Public Health Laboratory, Vancouver, British Columbia, Canada
| | - Rachel Pitt
- HCAI, Fungal, AMR, AMU and Sepsis Division, UK Health Security Agency, London, UK
| | - Christopher Ruis
- Molecular Immunity Unit, MRC-Laboratory of Molecular Biology, Department of Medicine, University of Cambridge, Cambridge, UK
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Eszter Balla
- Bacterial STIs Reference Laboratory, Department of Bacteriology, National Public Health Centre, Budapest, Hungary
| | - Tania Crucitti
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerpen, Belgium
| | - Michael Ewens
- Brotherton Wing Clinic, Brotherton Wing, Leeds General Infirmary, Leeds, UK
| | - Candela Fernández-Naval
- Microbiology Department, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Anna Grankvist
- National Reference Laboratory for STIs, Department of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Malcolm Guiver
- Laboratory Network, Manchester, UK Health Security Agency, Manchester Royal Infirmary, Manchester, UK
| | - Chris R Kenyon
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerpen, Belgium
| | - Rafil Khairullin
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Ranmini Kularatne
- Centre for HIV and STI, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Maider Arando
- STI Unit Vall d'Hebron-Drassanes, Infectious Diseases Department, Hospital Vall d'Hebron, Barcelona, Spain
| | - Barbara J Molini
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Andrey Obukhov
- Tuvan Republican Skin and Venereal Diseases Dispensary, Ministry of Health of Tuva Republic, Kyzyl, Russia
| | - Emma E Page
- Virology Department, Old Medical School, Leeds Teaching Hospitals Trust, Leeds, UK
| | - Fruzsina Petrovay
- Bacterial STIs Reference Laboratory, Department of Bacteriology, National Public Health Centre, Budapest, Hungary
| | | | | | | | - Erasmus Smit
- Clinical Microbiology Department, Queen Elizabeth Hospital, Birmingham, UK
- Institute of Environmental Science and Research, Wellington, New Zealand
| | - Emma L Sweeney
- The University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - George Taiaroa
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Jaime H Vera
- Department of Global Health and Infection, Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Christine Wennerås
- National Reference Laboratory for STIs, Department of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Infectious Diseases, Institute of Biomedicine, University of Gothenburg, Gothenburg, Sweden
| | - David M Whiley
- The University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
- Pathology Queensland Central Laboratory, Brisbane, Queensland, Australia
| | - Deborah A Williamson
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Gwenda Hughes
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Prenilla Naidu
- Alberta Precision Laboratories, Edmonton, Alberta, Canada
- Department of Laboratory Medicine and Pathology, Faculty of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Magnus Unemo
- WHO Collaborating Centre for Gonorrhoea and other Sexually Transmitted Infections, National Reference Laboratory for STIs, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Mel Krajden
- British Columbia Centre for Disease Control, Public Health Laboratory, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sheila A Lukehart
- Departments of Medicine/Infectious Diseases and Global Health, University of Washington, Seattle, WA, USA
| | - Muhammad G Morshed
- British Columbia Centre for Disease Control, Public Health Laboratory, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Helen Fifer
- Blood Safety, Hepatitis, STI and HIV Division, UK Health Security Agency, London, UK
| | - Nicholas R Thomson
- Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton, UK.
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
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26
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van Tonder AJ, Thornton MJ, Conlan AJK, Jolley KA, Goolding L, Mitchell AP, Dale J, Palkopoulou E, Hogarth PJ, Hewinson RG, Wood JLN, Parkhill J. Inferring Mycobacterium bovis transmission between cattle and badgers using isolates from the Randomised Badger Culling Trial. PLoS Pathog 2021; 17:e1010075. [PMID: 34843579 PMCID: PMC8659364 DOI: 10.1371/journal.ppat.1010075] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 12/09/2021] [Accepted: 10/29/2021] [Indexed: 11/18/2022] Open
Abstract
Mycobacterium bovis (M. bovis) is a causative agent of bovine tuberculosis, a significant source of morbidity and mortality in the global cattle industry. The Randomised Badger Culling Trial was a field experiment carried out between 1998 and 2005 in the South West of England. As part of this trial, M. bovis isolates were collected from contemporaneous and overlapping populations of badgers and cattle within ten defined trial areas. We combined whole genome sequences from 1,442 isolates with location and cattle movement data, identifying transmission clusters and inferred rates and routes of transmission of M. bovis. Most trial areas contained a single transmission cluster that had been established shortly before sampling, often contemporaneous with the expansion of bovine tuberculosis in the 1980s. The estimated rate of transmission from badger to cattle was approximately two times higher than from cattle to badger, and the rate of within-species transmission considerably exceeded these for both species. We identified long distance transmission events linked to cattle movement, recurrence of herd breakdown by infection within the same transmission clusters and superspreader events driven by cattle but not badgers. Overall, our data suggests that the transmission clusters in different parts of South West England that are still evident today were established by long-distance seeding events involving cattle movement, not by recrudescence from a long-established wildlife reservoir. Clusters are maintained primarily by within-species transmission, with less frequent spill-over both from badger to cattle and cattle to badger.
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Affiliation(s)
- Andries J. van Tonder
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Mark J. Thornton
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Andrew J. K. Conlan
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Keith A. Jolley
- Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Lee Goolding
- Animal and Plant Health Agency, New Haw, United Kingdom
| | | | - James Dale
- Animal and Plant Health Agency, New Haw, United Kingdom
| | | | | | | | - James L. N. Wood
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Julian Parkhill
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
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27
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Rieux A, Campos P, Duvermy A, Scussel S, Martin D, Gaudeul M, Lefeuvre P, Becker N, Lett JM. Contribution of historical herbarium small RNAs to the reconstruction of a cassava mosaic geminivirus evolutionary history. Sci Rep 2021; 11:21280. [PMID: 34711837 PMCID: PMC8553777 DOI: 10.1038/s41598-021-00518-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 10/13/2021] [Indexed: 12/30/2022] Open
Abstract
Emerging viral diseases of plants are recognised as a growing threat to global food security. However, little is known about the evolutionary processes and ecological factors underlying the emergence and success of viruses that have caused past epidemics. With technological advances in the field of ancient genomics, it is now possible to sequence historical genomes to provide a better understanding of viral plant disease emergence and pathogen evolutionary history. In this context, herbarium specimens represent a valuable source of dated and preserved material. We report here the first historical genome of a crop pathogen DNA virus, a 90-year-old African cassava mosaic virus (ACMV), reconstructed from small RNA sequences bearing hallmarks of small interfering RNAs. Relative to tip-calibrated dating inferences using only modern data, those performed with the historical genome yielded both molecular evolution rate estimates that were significantly lower, and lineage divergence times that were significantly older. Crucially, divergence times estimated without the historical genome appeared in discordance with both historical disease reports and the existence of the historical genome itself. In conclusion, our study reports an updated time-frame for the history and evolution of ACMV and illustrates how the study of crop viral diseases could benefit from natural history collections.
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Affiliation(s)
- Adrien Rieux
- CIRAD, UMR PVBMT, 97410, St Pierre, La Réunion, France.
| | - Paola Campos
- CIRAD, UMR PVBMT, 97410, St Pierre, La Réunion, France
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, 57 Rue Cuvier, CP 50, 75005, Paris, France
| | | | - Sarah Scussel
- CIRAD, UMR PVBMT, 97410, St Pierre, La Réunion, France
| | - Darren Martin
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Observatory, Cape Town, South Africa
| | - Myriam Gaudeul
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, 57 Rue Cuvier, CP 50, 75005, Paris, France
- Herbier national (P), Muséum national d'Histoire Naturelle, CP39, 57 Rue Cuvier, 75005, Paris, France
| | | | - Nathalie Becker
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, 57 Rue Cuvier, CP 50, 75005, Paris, France
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28
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Genomic analysis of the brassica pathogen turnip mosaic potyvirus reveals its spread along the former trade routes of the Silk Road. Proc Natl Acad Sci U S A 2021; 118:2021221118. [PMID: 33741737 PMCID: PMC8000540 DOI: 10.1073/pnas.2021221118] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Our article presents the most comprehensive reconstruction of the evolutionary and phylogeographic history of a major plant pathogen of brassica vegetables in Eurasia. Sampling across such a large landmass poses considerable challenges, and our study attempts to describe the spatial and temporal patterns of migration for a plant pathogen on a large scale. Our phylogeographic and molecular clock analyses show that the migration pathways of turnip mosaic potyvirus retrace some of the historical trade arteries of the Silk Road. This study demonstrates how a comprehensive genetic analysis can provide a large-scale view of the epidemiology and human-mediated spread of a plant pathogen across centuries of evolutionary history. Plant pathogens have agricultural impacts on a global scale and resolving the timing and route of their spread can aid crop protection and inform control strategies. However, the evolutionary and phylogeographic history of plant pathogens in Eurasia remains largely unknown because of the difficulties in sampling across such a large landmass. Here, we show that turnip mosaic potyvirus (TuMV), a significant pathogen of brassica crops, spread from west to east across Eurasia from about the 17th century CE. We used a Bayesian phylogenetic approach to analyze 579 whole genome sequences and up to 713 partial sequences of TuMV, including 122 previously unknown genome sequences from isolates that we collected over the past five decades. Our phylogeographic and molecular clock analyses showed that TuMV isolates of the Asian-Brassica/Raphanus (BR) and basal-BR groups and world-Brassica3 (B3) subgroup spread from the center of emergence to the rest of Eurasia in relation to the host plants grown in each country. The migration pathways of TuMV have retraced some of the major historical trade arteries in Eurasia, a network that formed the Silk Road, and the regional variation of the virus is partly characterized by different type patterns of recombinants. Our study presents a complex and detailed picture of the timescale and major transmission routes of an important plant pathogen.
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29
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Guzmán-Solís AA, Villa-Islas V, Bravo-López MJ, Sandoval-Velasco M, Wesp JK, Gómez-Valdés JA, Moreno-Cabrera MDLL, Meraz A, Solís-Pichardo G, Schaaf P, TenOever BR, Blanco-Melo D, Ávila Arcos MC. Ancient viral genomes reveal introduction of human pathogenic viruses into Mexico during the transatlantic slave trade. eLife 2021; 10:e68612. [PMID: 34350829 PMCID: PMC8423449 DOI: 10.7554/elife.68612] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 07/30/2021] [Indexed: 02/06/2023] Open
Abstract
After the European colonization of the Americas, there was a dramatic population collapse of the Indigenous inhabitants caused in part by the introduction of new pathogens. Although there is much speculation on the etiology of the Colonial epidemics, direct evidence for the presence of specific viruses during the Colonial era is lacking. To uncover the diversity of viral pathogens during this period, we designed an enrichment assay targeting ancient DNA (aDNA) from viruses of clinical importance and applied it to DNA extracts from individuals found in a Colonial hospital and a Colonial chapel (16th-18th century) where records suggest that victims of epidemics were buried during important outbreaks in Mexico City. This allowed us to reconstruct three ancient human parvovirus B19 genomes and one ancient human hepatitis B virus genome from distinct individuals. The viral genomes are similar to African strains, consistent with the inferred morphological and genetic African ancestry of the hosts as well as with the isotopic analysis of the human remains, suggesting an origin on the African continent. This study provides direct molecular evidence of ancient viruses being transported to the Americas during the transatlantic slave trade and their subsequent introduction to New Spain. Altogether, our observations enrich the discussion about the etiology of infectious diseases during the Colonial period in Mexico.
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Affiliation(s)
- Axel A Guzmán-Solís
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de MéxicoQuerétaroMexico
| | - Viridiana Villa-Islas
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de MéxicoQuerétaroMexico
| | - Miriam J Bravo-López
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de MéxicoQuerétaroMexico
| | - Marcela Sandoval-Velasco
- Section for Evolutionary Genomics, The Globe Institute, Faculty of Health, University of CopenhagenCopenhagenDenmark
| | - Julie K Wesp
- Department of Sociology and Anthropology, North Carolina State UniversityRaleighUnited States
| | | | | | - Alejandro Meraz
- Instituto Nacional de Antropología e HistoriaMexico CityMexico
| | - Gabriela Solís-Pichardo
- Laboratorio Universitario de Geoquímica Isotópica (LUGIS), Instituto de Geología, Universidad Nacional Autónoma de MéxicoMexico CityMexico
| | - Peter Schaaf
- LUGIS, Instituto de Geofísica, Universidad Nacional Autónoma de MéxicoMexico CityMexico
| | - Benjamin R TenOever
- Department of Microbiology, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Daniel Blanco-Melo
- Department of Microbiology, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research CenterSeattle, WAUnited States
| | - María C Ávila Arcos
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de MéxicoQuerétaroMexico
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Jiang N, Wyres KL, Li J, Feßler AT, Krüger H, Wang Y, Holt KE, Schwarz S, Wu C. Evolution and genomic insight into methicillin-resistant Staphylococcus aureus ST9 in China. J Antimicrob Chemother 2021; 76:1703-1711. [PMID: 33822977 DOI: 10.1093/jac/dkab106] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 03/13/2021] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVES To reconstruct the evolutionary history and genomic epidemiology of Staphylococcus aureus ST9 in China. METHODS Using WGS analysis, we described the phylogeny of 131 S. aureus ST9 isolates collected between 2002 and 2016 from 11 provinces in China, including six clinical samples from Taiwan. We also investigated the complex structure and distribution of the lsa(E)-carrying multiresistance gene cluster, and genotyped prophages in the genomes of the ST9 isolates. RESULTS ST9 was subdivided into one major (n = 122) and one minor (n = 9) clade. Bayesian phylogeny predicted the divergence of ST9 isolates in pig farming in China as early as 1987, which then evolved rapidly in the following three decades. ST9 isolates shared similar multiresistance properties, which were likely acquired before the ST9 emergence in China. The accessory genome is highly conserved, and ST9 harboured similar sets of phages, but lacked certain virulence genes. CONCLUSIONS Host exchange and regional transmission of ST9 have occurred between pigs and humans. Pig rearing and trading might have favoured gene exchanges between ST9 isolates. Resistance genes, obtained from the environment and other isolates, were stably integrated into the chromosomal DNA. The abundance of resistance genes among ST9 is likely attributed to the extensive use of antimicrobial agents in livestock. Phages are present in the genomes of ST9 and may play a role in the rapid evolution of this ST. Although human ST9 infections are rare, ST9 isolates may constitute a potential risk to public health as a repository of antimicrobial resistance genes.
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Affiliation(s)
- Nansong Jiang
- Beijing Key Laboratory of Detection Technology for Animal Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Kelly L Wyres
- Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Victoria 3004, Australia
| | - Jun Li
- Beijing Key Laboratory of Detection Technology for Animal Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China.,Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences, Beijing, China
| | - Andrea T Feßler
- Institute of Microbiology and Epizootics, Centre for Infection Medicine, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Henrike Krüger
- Institute of Microbiology and Epizootics, Centre for Infection Medicine, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Yang Wang
- Beijing Key Laboratory of Detection Technology for Animal Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Kathryn E Holt
- Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Victoria 3004, Australia.,Department of Infection Biology, London School of Hygiene & Tropical Medicine, London, UK
| | - Stefan Schwarz
- Beijing Key Laboratory of Detection Technology for Animal Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China.,Institute of Microbiology and Epizootics, Centre for Infection Medicine, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Congming Wu
- Beijing Key Laboratory of Detection Technology for Animal Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
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31
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Campos PE, Groot Crego C, Boyer K, Gaudeul M, Baider C, Richard D, Pruvost O, Roumagnac P, Szurek B, Becker N, Gagnevin L, Rieux A. First historical genome of a crop bacterial pathogen from herbarium specimen: Insights into citrus canker emergence. PLoS Pathog 2021; 17:e1009714. [PMID: 34324594 PMCID: PMC8320980 DOI: 10.1371/journal.ppat.1009714] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 06/14/2021] [Indexed: 12/30/2022] Open
Abstract
Over the past decade, ancient genomics has been used in the study of various pathogens. In this context, herbarium specimens provide a precious source of dated and preserved DNA material, enabling a better understanding of plant disease emergences and pathogen evolutionary history. We report here the first historical genome of a crop bacterial pathogen, Xanthomonas citri pv. citri (Xci), obtained from an infected herbarium specimen dating back to 1937. Comparing the 1937 genome within a large set of modern genomes, we reconstructed their phylogenetic relationships and estimated evolutionary parameters using Bayesian tip-calibration inferences. The arrival of Xci in the South West Indian Ocean islands was dated to the 19th century, probably linked to human migrations following slavery abolishment. We also assessed the metagenomic community of the herbarium specimen, showed its authenticity using DNA damage patterns, and investigated its genomic features including functional SNPs and gene content, with a focus on virulence factors.
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Affiliation(s)
- Paola E. Campos
- CIRAD, UMR PVBMT, Saint-Pierre, La Réunion, France
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum national d’Histoire naturelle, CNRS, SU, EPHE, UA, Paris, France
| | | | - Karine Boyer
- CIRAD, UMR PVBMT, Saint-Pierre, La Réunion, France
| | - Myriam Gaudeul
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum national d’Histoire naturelle, CNRS, SU, EPHE, UA, Paris, France
- Herbier national (P), Muséum national d’Histoire naturelle, Paris, France
| | - Claudia Baider
- Ministry of Agro Industry and Food Security, Mauritius Herbarium, R.E. Vaughan Building (MSIRI compound), Agricultural Services, Réduit, Mauritius
| | | | | | - Philippe Roumagnac
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
- CIRAD, UMR PHIM, Montpellier, France
| | - Boris Szurek
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Nathalie Becker
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum national d’Histoire naturelle, CNRS, SU, EPHE, UA, Paris, France
| | - Lionel Gagnevin
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
- CIRAD, UMR PHIM, Montpellier, France
| | - Adrien Rieux
- CIRAD, UMR PVBMT, Saint-Pierre, La Réunion, France
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32
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Rodrigues RDA, Ribeiro Araújo F, Rivera Dávila AM, Etges RN, Parkhill J, van Tonder AJ. Genomic and temporal analyses of Mycobacterium bovis in southern Brazil. Microb Genom 2021; 7. [PMID: 34016251 PMCID: PMC8209730 DOI: 10.1099/mgen.0.000569] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Mycobacterium bovis is a causal agent of bovine tuberculosis (bTB), one of the most important diseases currently facing the cattle industry worldwide. Tracing the source of M. bovis infections of livestock is an important tool for understanding the epidemiology of bTB and defining control/eradication strategies. In this study, whole genome sequencing (WGS) of 74 M. bovis isolates sourced from naturally infected cattle in the State of Rio Grande do Sul (RS), southern Brazil, was used to evaluate the population structure of M. bovis in the region, identify potential transmission events and date the introduction of clonal complex (CC) European 2 (Eu2). In silico spoligotyping identified 11 distinct patterns including four new profiles and two CCs, European 1 (Eu1) and Eu2. The analyses revealed a high level of genetic diversity in the majority of herds and identified putative transmission clusters that suggested that within- and between-herd transmission is occurring in RS. In addition, a comparison with other published M. bovis isolates from Argentina, Brazil, Paraguay and Uruguay demonstrated some evidence for a possible cross-border transmission of CC Eu1 into RS from Uruguay or Argentina. An estimated date for the introduction of CC Eu2 into RS in the middle of the 19th century correlated with the historical introduction of cattle into RS to improve existing local breeds. These findings contribute to the understanding of the population structure of M. bovis in southern Brazil and highlight the potential of WGS in surveillance and helping to identify bTB transmission.
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Affiliation(s)
- Rudielle de Arruda Rodrigues
- Postgraduate Program in Veterinary Science, Faculty of Veterinary Medicine and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
| | | | - Alberto Martín Rivera Dávila
- Computational and Systems Biology Laboratory, Graduate Program in Biodiversity and Health, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil
| | | | - Julian Parkhill
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
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Guo Z, Wang L, Niu L, Shangguan H, Huang C, Yi Y, Zhang Y, Gao M, Ge J. Genetic and evolutionary analysis of emerging HoBi-like pestivirus. Res Vet Sci 2021; 137:217-225. [PMID: 34023545 DOI: 10.1016/j.rvsc.2021.05.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 04/30/2021] [Accepted: 05/12/2021] [Indexed: 10/21/2022]
Abstract
HoBi-like pestivirus, an emerging species within the Pestivirus genus, is an important pathogen associated with a variety of clinical manifestations of ruminants, especially cattle. HoBi-like pestiviruses were identified in several countries and from different hosts, and raised concerns with regard to their acute and persistent infections, which is implicated in economic losses for cattle farmers. However, the transmission path, codon usage bias, and host adaptation of the virus has not been studied. Hence, we performed the analysis the spatio-temporal transmission based on the available 5'-UTR sequences of HoBi-like pestivirus, and then conducted codon analysis of the complete coding sequence of the virus. The results show the virus appeared in 1952 (95% HPD: 1905-1985) and may have originated in India. In addition, Italy is the hub for the spread of the virus. Moreover, six potential recombination events and two complex recombination events were discovered. Analysis of codon usage patterns revealed that the effective number of codon (ENC) values with an average of 50.85, and the codon usage bias is greatly affected by natural selection, which is different from the previous BVDV-1, 2. Finally, codon adaptation index (CAI) analysis shows that pigs may be the potential origin species of the HoBi-like pestivirus. These findings will contribute to more effective control of the spread of the virus, extend the knowledge about the genetic and evolutionary features of HoBi-like viruses and provide some information for vaccine research.
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Affiliation(s)
- Zhiyuan Guo
- College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China
| | - Lin Wang
- College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China
| | - Lingdi Niu
- College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China
| | - Haikun Shangguan
- College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China
| | - Chengshi Huang
- College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China
| | - Ying Yi
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - Yannan Zhang
- College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China
| | - Mingchun Gao
- College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China; Northeastern Science Inspection Station, China Ministry of Agriculture Key Laboratory of Animal Pathogen Biology, Harbin 150030, China.
| | - Junwei Ge
- College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China; Northeastern Science Inspection Station, China Ministry of Agriculture Key Laboratory of Animal Pathogen Biology, Harbin 150030, China.
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Rey-Iglesia A, Lister AM, Campos PF, Brace S, Mattiangeli V, Daly KG, Teasdale MD, Bradley DG, Barnes I, Hansen AJ. Exploring the phylogeography and population dynamics of the giant deer ( Megaloceros giganteus) using Late Quaternary mitogenomes. Proc Biol Sci 2021; 288:20201864. [PMID: 33977786 DOI: 10.1098/rspb.2020.1864] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Late Quaternary climatic fluctuations in the Northern Hemisphere had drastic effects on large mammal species, leading to the extinction of a substantial number of them. The giant deer (Megaloceros giganteus) was one of the species that became extinct in the Holocene, around 7660 calendar years before present. In the Late Pleistocene, the species ranged from western Europe to central Asia. However, during the Holocene, its range contracted to eastern Europe and western Siberia, where the last populations of the species occurred. Here, we generated 35 Late Pleistocene and Holocene giant deer mitogenomes to explore the genetics of the demise of this iconic species. Bayesian phylogenetic analyses of the mitogenomes suggested five main clades for the species: three pre-Last Glacial Maximum clades that did not appear in the post-Last Glacial Maximum genetic pool, and two clades that showed continuity into the Holocene. Our study also identified a decrease in genetic diversity starting in Marine Isotope Stage 3 and accelerating during the Last Glacial Maximum. This reduction in genetic diversity during the Last Glacial Maximum, coupled with a major contraction of fossil occurrences, suggests that climate was a major driver in the dynamics of the giant deer.
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Affiliation(s)
- Alba Rey-Iglesia
- Centre for Geogenetics, Natural History Museum Denmark, University of Copenhagen, Østervoldgade 5-7, 1350 Copenhagen, Denmark
| | - Adrian M Lister
- Earth Sciences Department, Natural History Museum, Cromwell Road, London SW7 5BD, UK
| | - Paula F Campos
- Centre for Geogenetics, Natural History Museum Denmark, University of Copenhagen, Østervoldgade 5-7, 1350 Copenhagen, Denmark.,CIIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Avenida General Norton de Matos, 4450-208 Matosinhos, Portugal
| | - Selina Brace
- Earth Sciences Department, Natural History Museum, Cromwell Road, London SW7 5BD, UK
| | - Valeria Mattiangeli
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin Dublin 2, Ireland
| | - Kevin G Daly
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin Dublin 2, Ireland
| | - Matthew D Teasdale
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin Dublin 2, Ireland.,McDonald Institute for Archaeological Research, Department of Archaeology, University of Cambridge, Cambridge, UK
| | - Daniel G Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin Dublin 2, Ireland
| | - Ian Barnes
- Earth Sciences Department, Natural History Museum, Cromwell Road, London SW7 5BD, UK
| | - Anders J Hansen
- Centre for Geogenetics, Natural History Museum Denmark, University of Copenhagen, Østervoldgade 5-7, 1350 Copenhagen, Denmark
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35
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Luo T, Xu P, Zhang Y, Porter JL, Ghanem M, Liu Q, Jiang Y, Li J, Miao Q, Hu B, Howden BP, Fyfe JAM, Globan M, He W, He P, Wang Y, Liu H, Takiff HE, Zhao Y, Chen X, Pan Q, Behr MA, Stinear TP, Gao Q. Population genomics provides insights into the evolution and adaptation to humans of the waterborne pathogen Mycobacterium kansasii. Nat Commun 2021; 12:2491. [PMID: 33941780 PMCID: PMC8093194 DOI: 10.1038/s41467-021-22760-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 03/16/2021] [Indexed: 02/02/2023] Open
Abstract
Mycobacterium kansasii can cause serious pulmonary disease. It belongs to a group of closely-related species of non-tuberculous mycobacteria known as the M. kansasii complex (MKC). Here, we report a population genomics analysis of 358 MKC isolates from worldwide water and clinical sources. We find that recombination, likely mediated by distributive conjugative transfer, has contributed to speciation and on-going diversification of the MKC. Our analyses support municipal water as a main source of MKC infections. Furthermore, nearly 80% of the MKC infections are due to closely-related M. kansasii strains, forming a main cluster that apparently originated in the 1900s and subsequently expanded globally. Bioinformatic analyses indicate that several genes involved in metabolism (e.g., maintenance of the methylcitrate cycle), ESX-I secretion, metal ion homeostasis and cell surface remodelling may have contributed to M. kansasii's success and its ongoing adaptation to the human host.
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Affiliation(s)
- Tao Luo
- grid.13291.380000 0001 0807 1581Department of Pathogen Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China ,grid.8547.e0000 0001 0125 2443Shanghai Institute of Infectious Disease and Biosecurity, Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), Shanghai Medical College and School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Peng Xu
- grid.8547.e0000 0001 0125 2443Shanghai Institute of Infectious Disease and Biosecurity, Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), Shanghai Medical College and School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China ,grid.417409.f0000 0001 0240 6969Key Laboratory of Characteristic Infectious Disease & Bio-safety Development of Guizhou Province Education Department, Institute of Life Sciences, Zunyi Medical University, Zunyi, China
| | - Yangyi Zhang
- Department of Tuberculosis Control, Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China
| | - Jessica L. Porter
- grid.1008.90000 0001 2179 088XDepartment of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Vic Australia ,grid.1008.90000 0001 2179 088XDoherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Vic Australia
| | - Marwan Ghanem
- grid.14709.3b0000 0004 1936 8649Department of Microbiology and Immunology, McGill University and McGill International TB Centre, Montreal, Quebec Canada
| | - Qingyun Liu
- grid.8547.e0000 0001 0125 2443Shanghai Institute of Infectious Disease and Biosecurity, Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), Shanghai Medical College and School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Yuan Jiang
- Department of Tuberculosis Control, Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China
| | - Jing Li
- Department of Tuberculosis Control, Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China
| | - Qing Miao
- grid.8547.e0000 0001 0125 2443Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Bijie Hu
- grid.8547.e0000 0001 0125 2443Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Benjamin P. Howden
- grid.1008.90000 0001 2179 088XDepartment of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Vic Australia ,grid.1008.90000 0001 2179 088XDoherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Vic Australia ,grid.1008.90000 0001 2179 088XMicrobiological Diagnostic Unit Public Health Laboratory, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria 3000 Australia
| | - Janet A. M. Fyfe
- grid.429299.d0000 0004 0452 651XVictorian Infectious Diseases Reference Laboratory, Doherty Institute for Infection and Immunity, Melbourne Health, Melbourne, Vic Australia
| | - Maria Globan
- grid.429299.d0000 0004 0452 651XVictorian Infectious Diseases Reference Laboratory, Doherty Institute for Infection and Immunity, Melbourne Health, Melbourne, Vic Australia
| | - Wencong He
- grid.198530.60000 0000 8803 2373Chinese Center for Disease Control and Prevention and Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Ping He
- grid.198530.60000 0000 8803 2373Chinese Center for Disease Control and Prevention and Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yiting Wang
- grid.198530.60000 0000 8803 2373Chinese Center for Disease Control and Prevention and Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Houming Liu
- grid.263817.9Department of Clinical Laboratory, The Third People’s Hospital of Shenzhen, Southern University of Science and Technology, Shenzhen, China
| | - Howard E. Takiff
- grid.428999.70000 0001 2353 6535Unité de Pathogenetique Integrée Mycobacterienne, Institut Pasteur, Paris, France ,grid.418243.80000 0001 2181 3287Laboratorio de Genética Molecular, CMBC, IVIC, Caracas, Venezuela ,Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Yanlin Zhao
- grid.198530.60000 0000 8803 2373Chinese Center for Disease Control and Prevention and Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Xinchun Chen
- grid.263488.30000 0001 0472 9649Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen, China
| | - Qichao Pan
- Department of Tuberculosis Control, Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China
| | - Marcel A. Behr
- grid.14709.3b0000 0004 1936 8649Department of Microbiology and Immunology, McGill University and McGill International TB Centre, Montreal, Quebec Canada
| | - Timothy P. Stinear
- grid.1008.90000 0001 2179 088XDepartment of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Vic Australia ,grid.1008.90000 0001 2179 088XDoherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Vic Australia
| | - Qian Gao
- grid.8547.e0000 0001 0125 2443Shanghai Institute of Infectious Disease and Biosecurity, Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), Shanghai Medical College and School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
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Almaw G, Mekonnen GA, Mihret A, Aseffa A, Taye H, Conlan AJK, Gumi B, Zewude A, Aliy A, Tamiru M, Olani A, Lakew M, Sombo M, Gebre S, Diguimbaye C, Hilty M, Fané A, Müller B, Hewinson RG, Ellis RJ, Nunez-Garcia J, Palkopoulou E, Abebe T, Ameni G, Parkhill J, Wood JLN, Berg S, van Tonder AJ. Population structure and transmission of Mycobacterium bovis in Ethiopia. Microb Genom 2021; 7:000539. [PMID: 33945462 PMCID: PMC8209724 DOI: 10.1099/mgen.0.000539] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 02/02/2021] [Indexed: 12/03/2022] Open
Abstract
Bovine tuberculosis (bTB) is endemic in cattle in Ethiopia, a country that hosts the largest national cattle herd in Africa. The intensive dairy sector, most of which is peri-urban, has the highest prevalence of disease. Previous studies in Ethiopia have demonstrated that the main cause is Mycobacterium bovis, which has been investigated using conventional molecular tools including deletion typing, spoligotyping and Mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR). Here we use whole-genome sequencing to examine the population structure of M. bovis in Ethiopia. A total of 134 M. bovis isolates were sequenced including 128 genomes from 85 mainly dairy cattle and six genomes isolated from humans, originating from 12 study sites across Ethiopia. These genomes provided a good representation of the previously described population structure of M. bovis, based on spoligotyping and demonstrated that the population is dominated by the clonal complexes African 2 (Af2) and European 3 (Eu3). A range of within-host diversity was observed amongst the isolates and evidence was found for both short- and long-distance transmission. Detailed analysis of available genomes from the Eu3 clonal complex combined with previously published genomes revealed two distinct introductions of this clonal complex into Ethiopia between 1950 and 1987, likely from Europe. This work is important to help better understand bTB transmission in cattle in Ethiopia and can potentially inform national strategies for bTB control in Ethiopia and beyond.
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Affiliation(s)
- Gizat Almaw
- National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia
- Department of Microbiology, Immunology and Parasitology, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Getnet Abie Mekonnen
- National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Adane Mihret
- Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Abraham Aseffa
- Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Hawult Taye
- Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | | | - Balako Gumi
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Aboma Zewude
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Abde Aliy
- National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia
| | - Mekdes Tamiru
- National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia
| | - Abebe Olani
- National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia
| | - Matios Lakew
- National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia
| | - Melaku Sombo
- National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia
| | - Solomon Gebre
- National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia
| | - Colette Diguimbaye
- Institut de Recherches en Elevage pour le Développement & Clinique Médico-Chirurgicale PROVIDENCE, N'Djaména, Chad
| | - Markus Hilty
- Institute for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Adama Fané
- Laboratoire Centrale Vétérinaire, Bamako, Mali
| | | | | | | | | | | | - Tamrat Abebe
- Department of Microbiology, Immunology and Parasitology, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Gobena Ameni
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Veterinary Medicine, College of Food and Agriculture, United Arab Emirates University, Al Ain, UAE
| | - Julian Parkhill
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - James L. N. Wood
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
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Duan K, Zhao J, Ren G, Shao Y, Lu T, Xu L, Tang X, Zhao W, Xu L. Molecular Evolution of Infectious Pancreatic Necrosis Virus in China. Viruses 2021; 13:v13030488. [PMID: 33809489 PMCID: PMC7998647 DOI: 10.3390/v13030488] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/11/2021] [Accepted: 03/13/2021] [Indexed: 11/16/2022] Open
Abstract
Passive virus surveillance was performed in twenty-nine salmon and trout farms from seven provinces and districts in China during the period 2017–2020. A total of 25 infectious pancreatic necrosis virus (IPNV) isolates were obtained, mainly from rainbow trout (Oncorhynchus mykiss). The molecular evolution of these Chinese IPNV isolates and the previously reported Chinese IPNV strains ChRtm213 and WZ2016 was analyzed, based on their VP2 gene coding region sequences (CDS). All 27 Chinese IPNV isolates clustered within genogroups I and V, with 24 of the IPNV isolates belonging to genogroup I (including ChRtm213 and WZ2016), and only three isolates clustering in genogroup V. The Chinese genogroup I IPNV isolates lacked diversity, composing six haplotypes with 41 polymorphic sites, and the identity of nucleotide and amino acid sequences among the entire VP2 gene CDS from these isolates was 97.44%–100% and 98.19%–100%, respectively. Divergence time analyses revealed that the Chinese genogroup I IPNV isolates likely diverged from Japanese IPNV isolates in 1985 (95% highest posterior density (HPD), 1965–1997), and diverged again in 2006 (95% HPD, 1996–2013) in China. Each of the three Chinese genogroup V IPNV isolates has a unique VP2 gene CDS, with a total of 21 polymorphic sites; the identity of nucleotide and amino acid sequences among all VP2 gene CDS from these isolates was 98.5%–99.5% and 98.6%–99.0%, respectively. The data demonstrate that genogroups I and V are more likely the currently prevalent Chinese IPNV genotypes.
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Affiliation(s)
- Kaiyue Duan
- Key Laboratory of Aquatic Animal Diseases and Immune Technology of Heilongjiang Province, Department of Aquatic Animal Diseases and Control, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China; (K.D.); (J.Z.); (G.R.); (Y.S.); (T.L.); (X.T.); (W.Z.)
| | - Jingzhuang Zhao
- Key Laboratory of Aquatic Animal Diseases and Immune Technology of Heilongjiang Province, Department of Aquatic Animal Diseases and Control, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China; (K.D.); (J.Z.); (G.R.); (Y.S.); (T.L.); (X.T.); (W.Z.)
| | - Guangming Ren
- Key Laboratory of Aquatic Animal Diseases and Immune Technology of Heilongjiang Province, Department of Aquatic Animal Diseases and Control, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China; (K.D.); (J.Z.); (G.R.); (Y.S.); (T.L.); (X.T.); (W.Z.)
| | - Yizhi Shao
- Key Laboratory of Aquatic Animal Diseases and Immune Technology of Heilongjiang Province, Department of Aquatic Animal Diseases and Control, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China; (K.D.); (J.Z.); (G.R.); (Y.S.); (T.L.); (X.T.); (W.Z.)
| | - Tongyan Lu
- Key Laboratory of Aquatic Animal Diseases and Immune Technology of Heilongjiang Province, Department of Aquatic Animal Diseases and Control, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China; (K.D.); (J.Z.); (G.R.); (Y.S.); (T.L.); (X.T.); (W.Z.)
| | - Lipu Xu
- Fish Disease Department of Beijing Fisheries Technical Extension Station, Beijing 100176, China;
| | - Xin Tang
- Key Laboratory of Aquatic Animal Diseases and Immune Technology of Heilongjiang Province, Department of Aquatic Animal Diseases and Control, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China; (K.D.); (J.Z.); (G.R.); (Y.S.); (T.L.); (X.T.); (W.Z.)
| | - Wenwen Zhao
- Key Laboratory of Aquatic Animal Diseases and Immune Technology of Heilongjiang Province, Department of Aquatic Animal Diseases and Control, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China; (K.D.); (J.Z.); (G.R.); (Y.S.); (T.L.); (X.T.); (W.Z.)
| | - Liming Xu
- Key Laboratory of Aquatic Animal Diseases and Immune Technology of Heilongjiang Province, Department of Aquatic Animal Diseases and Control, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China; (K.D.); (J.Z.); (G.R.); (Y.S.); (T.L.); (X.T.); (W.Z.)
- Key Laboratory of Aquatic Animal Immune Technology, Key Laboratory of Fishery Drug Development, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Ministry of Agriculture and Rural Affairs, Guangzhou 510380, China
- Correspondence: ; Tel.: +86-0451-87930965
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Pereson MJ, Flichman DM, Martínez AP, Baré P, Garcia GH, Di Lello FA. Evolutionary analysis of SARS-CoV-2 spike protein for its different clades. J Med Virol 2021; 93:3000-3006. [PMID: 33512021 PMCID: PMC8013443 DOI: 10.1002/jmv.26834] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 01/25/2021] [Indexed: 12/27/2022]
Abstract
The spike protein of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has become the main target for antiviral and vaccine development. Despite its relevance, e information is scarse about its evolutionary traces. The aim of this study was to investigate the diversification patterns of the spike for each clade of SARS‐CoV‐2 through different approaches. Two thousand and one hundred sequences representing the seven clades of the SARS‐CoV‐2 were included. Patterns of genetic diversifications and nucleotide evolutionary rate were estimated for the spike genomic region. The haplotype networks showed a star shape, where multiple haplotypes with few nucleotide differences diverge from a common ancestor. Four hundred seventy‐nine different haplotypes were defined in the seven analyzed clades. The main haplotype, named Hap‐1, was the most frequent for clades G (54%), GH (54%), and GR (56%) and a different haplotype (named Hap‐252) was the most important for clades L (63.3%), O (39.7%), S (51.7%), and V (70%). The evolutionary rate for the spike protein was estimated as 1.08 × 10−3 nucleotide substitutions/site/year. Moreover, the nucleotide evolutionary rate after nine months of the pandemic was similar for each clade. In conclusion, the present evolutionary analysis is relevant as the spike protein of SARS‐CoV‐2 is the target for most therapeutic candidates; besides, changes in this protein could have consequences on viral transmission, response to antivirals and efficacy of vaccines. Moreover, the evolutionary characterization of clades improves knowledge of SARS‐CoV‐2 and deserves to be assessed in more detail as re‐infection by different phylogenetic clades has been reported.
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Affiliation(s)
- Matías J Pereson
- Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM), Universidad de Buenos Aires, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma, de Buenos Aires, Argentina
| | - Diego M Flichman
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma, de Buenos Aires, Argentina.,Instituto de Investigaciones Biomédicas en Retrovirus y Síndrome de Inmunodeficiencia Adquirida (INBIRS) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Alfredo P Martínez
- Virology Section, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno "CEMIC", Buenos Aires, Argentina
| | - Patricia Baré
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma, de Buenos Aires, Argentina.,Instituto de Medicina Experimental (IMEX) - Academia Nacional de Medicina, Buenos Aires, Argentina
| | - Gabriel H Garcia
- Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM), Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Federico A Di Lello
- Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM), Universidad de Buenos Aires, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma, de Buenos Aires, Argentina
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Nishiki S, Lee K, Kanai M, Nakayama SI, Ohnishi M. Phylogenetic and genetic characterization of Treponema pallidum strains from syphilis patients in Japan by whole-genome sequence analysis from global perspectives. Sci Rep 2021; 11:3154. [PMID: 33542273 PMCID: PMC7862685 DOI: 10.1038/s41598-021-82337-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 01/19/2021] [Indexed: 12/13/2022] Open
Abstract
Japan has had a substantial increase in syphilis cases since 2013. However, research on the genomic features of the Treponema pallidum subspecies pallidum (TPA) strains from these cases has been limited. Here, we elucidated the genetic variations and relationships between TPA strains in Japan (detected between 2014 and 2018) and other countries by whole-genome sequencing and phylogenetic analyses, including syphilis epidemiological surveillance data and information on patient sexual orientation. Seventeen of the 20 strains in Japan were SS14- and the remaining 3 were Nichols-lineage. Sixteen of the 17 SS14-lineage strains were classified into previously reported Sub-lineage 1B. Sub-lineage 1B strains in Japan have formed distinct sub-clusters of strains from heterosexuals and strains from men who have sex with men. These strains were closely related to reported TPA strains in China, forming an East-Asian cluster. However, those strains in these countries evolved independently after diverging from their most recent common ancestor and expanded their genetic diversity during the time of syphilis outbreak in each country. The genetic difference between the TPA strains in these countries was characterized by single-nucleotide-polymorphism analyses of their penicillin binding protein genes. Taken together, our results elucidated the detailed phylogenetic features and transmission networks of syphilis.
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Affiliation(s)
- Shingo Nishiki
- Department of Bacteriology I, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8640, Japan.,Division of Environmental and Preventive Medicine, Department of Social Medicine, Graduate School of Medicine, Tottori University, 86 Nishi-machi, Yonago, Tottori, 683-8503, Japan
| | - Kenichi Lee
- Department of Bacteriology I, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8640, Japan
| | - Mizue Kanai
- Department of Bacteriology I, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8640, Japan.,Osaka City Public Health Office, 1-2-7-1,000 Asahi-cho, Abeno-ku, Osaka, Osaka, 545-0051, Japan
| | - Shu-Ichi Nakayama
- Department of Bacteriology I, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8640, Japan.
| | - Makoto Ohnishi
- Department of Bacteriology I, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8640, Japan
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Abstract
Community protective immunity can affect RNA virus evolution by selecting for new antigenic variants on the scale of years, exemplified by the need of annual evaluation of influenza vaccines. The extent to which this process termed antigenic drift affects coronaviruses remains unknown. Alike the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), seasonal human coronaviruses (HCoV) likely emerged from animal reservoirs as new human pathogens in the past. We therefore analyzed the long-term evolutionary dynamics of the ubiquitous HCoV-229E and HCoV-OC43 in comparison with human influenza A virus (IAV) subtype H3N2. We focus on viral glycoprotein genes that mediate viral entry into cells and are major targets of host neutralizing antibody responses. Maximum likelihood and Bayesian phylogenies of publicly available gene datasets representing about three decades of HCoV and IAV evolution showed that all viruses had similar ladder-like tree shapes compatible with antigenic drift, supported by different tree shape statistics. Evolutionary rates inferred in a Bayesian framework were 6.5 × 10-4 (95% highest posterior density (HPD), 5.4-7.5 × 10-4) substitutions per site per year (s/s/y) for HCoV-229E spike (S) genes and 5.7 × 10-4 (95% HPD, 5-6.5 × 10-4) s/s/y for HCoV-OC43 S genes, which were about fourfold lower than the 2.5 × 10-3 (95% HPD, 2.3-2.7 × 10-3) s/s/y rate for IAV hemagglutinin (HA) genes. Coronavirus S genes accumulated about threefold less (P < 0.001) non-synonymous mutations (dN) over time than IAV HA genes. In both IAV and HCoV, the average rate of dN within the receptor binding domains (RBD) was about fivefold higher (P < 0.0001) than in other glycoprotein gene regions. Similarly, most sites showing evidence for positive selection occurred within the RBD (HCoV-229E, 6/14 sites, P < 0.05; HCoV-OC43, 23/38 sites, P < 0.01; IAV, 13/15 sites, P = 0.08). In sum, the evolutionary dynamics of HCoV and IAV showed several similarities, yet amino acid changes potentially representing antigenic drift occurred on a lower scale in endemic HCoV compared to IAV. It seems likely that pandemic SARS-CoV-2 evolution will bear similarities with IAV evolution including accumulation of adaptive changes in the RBD, requiring vaccines to be updated regularly, whereas higher SARS-CoV-2 evolutionary stability resembling endemic HCoV can be expected in the post-pandemic stage.
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Affiliation(s)
- Wendy K Jo
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Virology, Berlin, Germany
| | - Christian Drosten
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Virology, Berlin, Germany
- German Centre for Infection Research (DZIF), associated partner Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jan Felix Drexler
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Virology, Berlin, Germany
- German Centre for Infection Research (DZIF), associated partner Charité-Universitätsmedizin Berlin, Berlin, Germany
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41
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Richard D, Pruvost O, Balloux F, Boyer C, Rieux A, Lefeuvre P. Time-calibrated genomic evolution of a monomorphic bacterium during its establishment as an endemic crop pathogen. Mol Ecol 2020; 30:1823-1835. [PMID: 33305421 DOI: 10.1111/mec.15770] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 11/30/2020] [Accepted: 12/03/2020] [Indexed: 01/03/2023]
Abstract
Horizontal gene transfer is of major evolutionary importance as it allows for the redistribution of phenotypically important genes among lineages. Such genes with essential functions include those involved in resistance to antimicrobial compounds and virulence factors in pathogenic bacteria. Understanding gene turnover at microevolutionary scales is critical to assess the pace of this evolutionary process. Here, we characterized and quantified gene turnover for the epidemic lineage of a bacterial plant pathogen of major agricultural importance worldwide. Relying on a dense geographic sampling spanning 39 years of evolution, we estimated both the dynamics of single nucleotide polymorphism accumulation and gene content turnover. We identified extensive gene content variation among lineages even at the smallest phylogenetic and geographic scales. Gene turnover rate exceeded nucleotide substitution rate by three orders of magnitude. Accessory genes were found preferentially located on plasmids, but we identified a highly plastic chromosomal region hosting ecologically important genes such as transcription activator-like effectors. Whereas most changes in the gene content are probably transient, the rapid spread of a mobile element conferring resistance to copper compounds widely used for the management of plant bacterial pathogens illustrates how some accessory genes can become ubiquitous within a population over short timeframes.
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Affiliation(s)
- Damien Richard
- Cirad, UMR PVBMT, Réunion, France.,ANSES, Plant Health Laboratory, Réunion, France.,Université de la Réunion, UMR PVBMT, Réunion, France
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42
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Han Z, Song Y, Xiao J, Jiang L, Huang W, Wei H, Li J, Zeng H, Yu Q, Li J, Yu D, Zhang Y, Li C, Zhan Z, Shi Y, Xiong Y, Wang X, Ji T, Yang Q, Zhu S, Yan D, Xu W, Zhang Y. Genomic epidemiology of coxsackievirus A16 in mainland of China, 2000-18. Virus Evol 2020; 6:veaa084. [PMID: 33343924 PMCID: PMC7733612 DOI: 10.1093/ve/veaa084] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Hand, foot, and mouth disease (HFMD), which is a frequently reported and concerning disease worldwide, is a severe burden on societies globally, especially in the countries of East and Southeast Asia. Coxsackievirus A16 (CV-A16) is one of the most important causes of HFMD and a severe threat to human health, especially in children under 5 years of age. To investigate the epidemiological characteristics, spread dynamics, recombinant forms (RFs), and other features of CV-A16, we leveraged the continuous surveillance data of CV-A16-related HFMD cases collected over an 18-year period. With the advent of the EV-A71 vaccine since 2016, which targeted the EV-A71-related HFMD cases, EV-A71-related HFMD cases decreased dramatically, whereas the CV-A16-related HFMD cases showed an upward trend from 2017 to October 2019. The CV-A16 strains observed in this study were genetically related and widely distributed in the mainland of China. Our results show that three clusters (B1a-B1c) existed in the mainland of China and that the cluster of B1b dominates the diffusion of CV-A16 in China. We found that eastern China played a decisive role in seeding the diffusion of CV-A16 in China, with a more complex and variant transmission trend. Although EV-A71 vaccine was launched in China in 2016, it did not affect the genetic diversity of CV-A16, and its genetic diversity did not decline, which confirmed the epidemiological surveillance trend of CV-A16. Two discontinuous clusters (2000-13 and 2014-18) were observed in the full-length genome and arranged along the time gradient, which revealed the reason why the relative genetic diversity of CV-A16 increased and experienced more complex fluctuation model after 2014. In addition, the switch from RFs B (RF-B) and RF-C co-circulation to RF-D contributes to the prevalence of B1b cluster in China after 2008. The correlation between genotype and RFs partially explained the current prevalence of B1b. This study provides unprecedented full-length genomic sequences of CV-A16 in China, with a wider geographic distribution and a long-term time scale. The study presents valuable information about CV-A16, aimed at developing effective control strategies, as well as a call for a more robust surveillance system, especially in the Asia-Pacific region.
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Affiliation(s)
- Zhenzhi Han
- WHO WPRO Regional Polio Reference Laboratory and National Laboratory for Poliomyelitis, NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Yang Song
- WHO WPRO Regional Polio Reference Laboratory and National Laboratory for Poliomyelitis, NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Jinbo Xiao
- WHO WPRO Regional Polio Reference Laboratory and National Laboratory for Poliomyelitis, NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Lili Jiang
- Yunnan Center for Disease Control and Prevention, Kunming, Yunnan Province, People's Republic of China
| | - Wei Huang
- Chongqing Center for Disease Control and Prevention, Chongqing City, People's Republic of China
| | - Haiyan Wei
- Henan Center for Disease Control and Prevention, Zhengzhou, Henan Province, People's Republic of China
| | - Jie Li
- Beijing Center for Disease Control and Prevention, Beijing City, People's Republic of China
| | - Hanri Zeng
- Guangdong Center for Disease Control and Prevention, Guangzhou, Guangdong Province, People's Republic of China
| | - Qiuli Yu
- Hebei Center for Disease Control and Prevention, Shijiazhuang, Hebei Province, People's Republic of China
| | - Jiameng Li
- Tianjin Center for Disease Control and Prevention, Tianjin City, People's Republic of China
| | - Deshan Yu
- Gansu Center for Disease Control and Prevention, Lanzhou, Gansu Province, People's Republic of China
| | - Yanjun Zhang
- Zhejiang Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Chonghai Li
- Qinghai Center for Disease Control and Prevention, Xining, Qinghai Province, People's Republic of China
| | - Zhifei Zhan
- Hunan Center for Disease Control and Prevention, Changsha, Hunan Province, People's Republic of China
| | - Yonglin Shi
- Anhui Center for Disease Control and Prevention, Hefei, Anhui Province, People's Republic of China
| | - Ying Xiong
- Jiangxi Center for Disease Control and Prevention, Nanchang, Jiangxi Province, People's Republic of China
| | - Xianjun Wang
- Shandong Center for Disease Control and Prevention, Jinan, Shandong Province, People's Republic of China
| | - Tianjiao Ji
- WHO WPRO Regional Polio Reference Laboratory and National Laboratory for Poliomyelitis, NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Qian Yang
- WHO WPRO Regional Polio Reference Laboratory and National Laboratory for Poliomyelitis, NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Shuangli Zhu
- WHO WPRO Regional Polio Reference Laboratory and National Laboratory for Poliomyelitis, NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Dongmei Yan
- WHO WPRO Regional Polio Reference Laboratory and National Laboratory for Poliomyelitis, NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Wenbo Xu
- WHO WPRO Regional Polio Reference Laboratory and National Laboratory for Poliomyelitis, NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China.,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, Hubei Province, People's Republic of China
| | - Yong Zhang
- WHO WPRO Regional Polio Reference Laboratory and National Laboratory for Poliomyelitis, NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing, 102206, People's Republic of China.,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, Hubei Province, People's Republic of China
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Pereson MJ, Mojsiejczuk L, Martínez AP, Flichman DM, Garcia GH, Di Lello FA. Phylogenetic analysis of SARS-CoV-2 in the first few months since its emergence. J Med Virol 2020; 93:1722-1731. [PMID: 32966646 PMCID: PMC7537150 DOI: 10.1002/jmv.26545] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/10/2020] [Accepted: 09/19/2020] [Indexed: 12/24/2022]
Abstract
During the first few months of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evolution in a new host, contrasting hypotheses have been proposed about the way the virus has evolved and diversified worldwide. The aim of this study was to perform a comprehensive evolutionary analysis to describe the human outbreak and the evolutionary rate of different genomic regions of SARS-CoV-2. The molecular evolution in nine genomic regions of SARS-CoV-2 was analyzed using three different approaches: phylogenetic signal assessment, emergence of amino acid substitutions, and Bayesian evolutionary rate estimation in eight successive fortnights since the virus emergence. All observed phylogenetic signals were very low and tree topologies were in agreement with those signals. However, after 4 months of evolution, it was possible to identify regions revealing an incipient viral lineage formation, despite the low phylogenetic signal since fortnight 3. Finally, the SARS-CoV-2 evolutionary rate for regions nsp3 and S, the ones presenting greater variability, was estimated as 1.37 × 10-3 and 2.19 × 10-3 substitution/site/year, respectively. In conclusion, results from this study about the variable diversity of crucial viral regions and determination of the evolutionary rate are consequently decisive to understand essential features of viral emergence. In turn, findings may allow the first-time characterization of the evolutionary rate of S protein, crucial for vaccine development.
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Affiliation(s)
- Matías J. Pereson
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM)Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos AiresArgentina
| | - Laura Mojsiejczuk
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM)Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos AiresArgentina
| | - Alfredo P. Martínez
- Virology Section, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno “CEMIC”Buenos AiresArgentina
| | - Diego M. Flichman
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos AiresArgentina
- Instituto de Investigaciones Biomédicas en Retrovirus y Síndrome de Inmunodeficiencia Adquirida (INBIRS) – Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos AiresBuenos AiresArgentina
| | - Gabriel H. Garcia
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM)Buenos AiresArgentina
| | - Federico A. Di Lello
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM)Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos AiresArgentina
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Kozakiewicz CP, Burridge CP, Funk WC, Craft ME, Crooks KR, Fisher RN, Fountain‐Jones NM, Jennings MK, Kraberger SJ, Lee JS, Lyren LM, Riley SPD, Serieys LEK, VandeWoude S, Carver S. Does the virus cross the road? Viral phylogeographic patterns among bobcat populations reflect a history of urban development. Evol Appl 2020; 13:1806-1817. [PMID: 32908587 PMCID: PMC7463333 DOI: 10.1111/eva.12927] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 01/03/2020] [Accepted: 01/13/2020] [Indexed: 12/18/2022] Open
Abstract
Urban development has major impacts on connectivity among wildlife populations and is thus likely an important factor shaping pathogen transmission in wildlife. However, most investigations of wildlife diseases in urban areas focus on prevalence and infection risk rather than potential effects of urbanization on transmission itself. Feline immunodeficiency virus (FIV) is a directly transmitted retrovirus that infects many felid species and can be used as a model for studying pathogen transmission at landscape scales. We investigated phylogenetic relationships among FIV isolates sampled from five bobcat (Lynx rufus) populations in coastal southern California that appear isolated due to major highways and dense urban development. Divergence dates among FIV phylogenetic lineages in several cases reflected historical urban growth and construction of major highways. We found strong FIV phylogeographic structure among three host populations north-west of Los Angeles, largely coincident with host genetic structure. In contrast, relatively little FIV phylogeographic structure existed among two genetically distinct host populations south-east of Los Angeles. Rates of FIV transfer among host populations did not vary significantly, with the lack of phylogenetic structure south-east of Los Angeles unlikely to reflect frequent contemporary transmission among populations. Our results indicate that major barriers to host gene flow can also act as barriers to pathogen spread, suggesting potentially reduced susceptibility of fragmented populations to novel directly transmitted pathogens. Infrequent exchange of FIV among host populations suggests that populations would best be managed as distinct units in the event of a severe disease outbreak. Phylogeographic inference of pathogen transmission is useful for estimating the ability of geographic barriers to constrain disease spread and can provide insights into contemporary and historical drivers of host population connectivity.
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Affiliation(s)
| | | | - W. Chris Funk
- Department of BiologyColorado State UniversityFort CollinsCOUSA
- Graduate Degree Program in EcologyColorado State UniversityFort CollinsCOUSA
| | - Meggan E. Craft
- Department of Veterinary Population MedicineUniversity of MinnesotaSt PaulMNUSA
| | - Kevin R. Crooks
- Department of Fish, Wildlife, and Conservation BiologyColorado State UniversityFort CollinsCOUSA
| | - Robert N. Fisher
- Western Ecological Research CenterU.S. Geological SurveySan DiegoCAUSA
| | | | | | - Simona J. Kraberger
- Department of Microbiology, Immunology, and PathologyColorado State UniversityFort CollinsCOUSA
| | - Justin S. Lee
- Department of Microbiology, Immunology, and PathologyColorado State UniversityFort CollinsCOUSA
| | - Lisa M. Lyren
- Western Ecological Research CenterU.S. Geological SurveyThousand OaksCAUSA
| | - Seth P. D. Riley
- National Park ServiceSanta Monica Mountains National Recreation AreaThousand OaksCAUSA
| | - Laurel E. K. Serieys
- Department of Environmental StudiesUniversity of California Santa CruzSanta CruzCAUSA
- Institute for Communities and Wildlife in AfricaBiological SciencesUniversity of Cape TownCape TownSouth Africa
| | - Sue VandeWoude
- Department of Microbiology, Immunology, and PathologyColorado State UniversityFort CollinsCOUSA
| | - Scott Carver
- School of Natural SciencesUniversity of TasmaniaHobartTASAustralia
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Wang H, Zhang L, Shang Y, Tan R, Ji M, Yue X, Wang N, Liu J, Wang C, Li Y, Zhou T. Emergence and evolution of highly pathogenic porcine epidemic diarrhea virus by natural recombination of a low pathogenic vaccine isolate and a highly pathogenic strain in the spike gene. Virus Evol 2020; 6:veaa049. [PMID: 32913664 PMCID: PMC7474927 DOI: 10.1093/ve/veaa049] [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: 12/16/2022] Open
Abstract
Outbreaks of a new variant of porcine epidemic diarrhea virus (PEDV) at the end of 2010 have raised interest in the mutation and recombination of PEDV. A PEDV strain (CN/Liaoning25/2018) isolated from a clinical outbreak of piglet diarrhea contained a 49-bp deletion in the ORF3 gene. This deletion is considered a genetic characteristic of low pathogenic attenuated vaccine strains. However, CN/Liaoning25/2018 was highly pathogenic. Complete genome sequencing, identity analysis, phylogenetic tree construction, and recombination analysis showed that this virus was a recombinant strain containing the Spike (S) gene from the highly pathogenic CN/GDZQ/2014 strain and the remaining genomic regions from the low pathogenic vaccine isolate SQ2014. Histopathology and immunohistochemistry results confirmed that this strain was highly pathogenic and indicated that intestinal epithelial cell vacuolation was positively correlated with the intensity and density of PEDV antigens. A new natural recombination model for PEDV was identified. Our results suggest that new highly pathogenic recombinant strains in the field may be generated by recombination between low pathogenic attenuated live PEDV vaccines and pathogenic circulating PEDV strains. Our findings also highlight that the 49-bp deletion of the ORF3 gene in low pathogenic attenuated vaccine strains will no longer be a reliable standard to differentiate the classical vaccine attenuated from the field strains.
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Affiliation(s)
- Huinan Wang
- Department of Basic Veterinary Medicine, College of Animal Husbandry & Veterinary Medicine, Jinzhou Medical University, Jinzhou 121000, China
| | - Libo Zhang
- Department of Basic Veterinary Medicine, College of Animal Husbandry & Veterinary Medicine, Jinzhou Medical University, Jinzhou 121000, China
| | - Yuanbin Shang
- Department of Basic Veterinary Medicine, College of Animal Husbandry & Veterinary Medicine, Jinzhou Medical University, Jinzhou 121000, China
| | - Rongrong Tan
- Center for Drug Safety Evaluation and Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Mingxiang Ji
- Department of Basic Veterinary Medicine, College of Animal Husbandry & Veterinary Medicine, Jinzhou Medical University, Jinzhou 121000, China
| | - Xinliang Yue
- Department of Basic Veterinary Medicine, College of Animal Husbandry & Veterinary Medicine, Jinzhou Medical University, Jinzhou 121000, China
| | - Nannan Wang
- Department of Basic Veterinary Medicine, College of Animal Husbandry & Veterinary Medicine, Jinzhou Medical University, Jinzhou 121000, China
| | - Jun Liu
- Beijing Institude of Feed Conrrol, Beijing 100107, China
| | - Chunhua Wang
- Department of Basic Veterinary Medicine, College of Animal Husbandry & Veterinary Medicine, Jinzhou Medical University, Jinzhou 121000, China
| | - Yonggang Li
- Department of Pathogenic Biology, School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou 121000, China
| | - Tiezhong Zhou
- Department of Basic Veterinary Medicine, College of Animal Husbandry & Veterinary Medicine, Jinzhou Medical University, Jinzhou 121000, China
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46
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Chen J, Han Z, Wu H, Xu W, Yu D, Zhang Y. A Large-Scale Outbreak of Echovirus 30 in Gansu Province of China in 2015 and Its Phylodynamic Characterization. Front Microbiol 2020; 11:1137. [PMID: 32587581 PMCID: PMC7297909 DOI: 10.3389/fmicb.2020.01137] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 05/05/2020] [Indexed: 12/29/2022] Open
Abstract
Background Echovirus 30 (E-30) has been investigated and reported worldwide and is closely associated with several infectious diseases, including encephalitis; myocarditis; and hand, foot, and mouth disease. Although many E-30 outbreaks associated with encephalitis have been reported around the world, it was not reported in northwest China until 2015. Methods The clinical samples, including the feces, serum, throat swabs, and cerebrospinal fluid, were collected for this study and were analyzed for diagnosis. E-30 was isolated and processed according to the standard procedures. The epidemiological and phylogenetic analysis were performed to indicate the characteristics of E-30 outbreaks and phylodynamics of E-30 in China. Results The E-30 outbreaks affected nine towns of Gansu Province in 2015, starting at a school of Nancha town and spreading to other towns within 1 month. The epidemiological features showed that children aged 6–15 years were more susceptible to E-30 infection. The genotypes B and C cocirculated in the world, whereas the latter dominated the circulation of E-30 in China. The genome sequences of this outbreak present 99.3–100% similarity among these strains, indicating a genetic-linked aggregate outbreak of E-30 in this study. Two larger genetic diversity expansions and three small fluctuations of E-30 were observed from 1987 to 2016 in China, which revealed the oscillating patterns of E-30 in China. In addition, the coastal provinces of China, such as Zhejiang, Fujian, and Shandong, were initially infected, followed by other parts of the country. The E-30 strains isolated from mainland of China may have originated from Taiwan of China in the last century. Conclusion The highly similar E-30 genomes in this outbreak showed an aggregate outbreak of E-30, with nine towns affected. Our results suggested that, although the genetic diversity of E-30 oscillates, the dominant lineages of E-30 in China has complex genetic transmission. The coastal provinces played an important role in E-30 spread, which implied further development of effective countermeasures. This study provides a further insight into the E-30 outbreak and transmission and illustrates the importance of valuable surveillance in the future.
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Affiliation(s)
- Jianhua Chen
- Key Laboratory of Infectious Diseases in Gansu Province, Gansu Center for Disease Control and Prevention, Lanzhou, China
| | - Zhenzhi Han
- WHO WPRO Regional Polio Reference Laboratory and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haizhuo Wu
- Key Laboratory of Infectious Diseases in Gansu Province, Gansu Center for Disease Control and Prevention, Lanzhou, China
| | - Wenbo Xu
- WHO WPRO Regional Polio Reference Laboratory and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
| | - Deshan Yu
- Key Laboratory of Infectious Diseases in Gansu Province, Gansu Center for Disease Control and Prevention, Lanzhou, China
| | - Yong Zhang
- WHO WPRO Regional Polio Reference Laboratory and National Health Commission Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
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Gao F, Chen C, Li B, Weng Q, Chen Q. The Gene Flow Direction of Geographically Distinct Phytophthora infestans Populations in China Corresponds With the Route of Seed Potato Exchange. Front Microbiol 2020; 11:1077. [PMID: 32528452 PMCID: PMC7264822 DOI: 10.3389/fmicb.2020.01077] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 04/30/2020] [Indexed: 12/18/2022] Open
Abstract
Phytophthora infestans is a widespread destructive plant pathogen that causes economic losses worldwide to potato production. In this study, we sequenced four mitochondrial DNA gene sequences of 101 P. infestans isolates from five potato-growing regions in China to investigate the population structure and dispersal pattern of this pathogen. The concatenated mtDNA sequences in the populations showed high haplotype diversity, but low nucleotide diversity. Although there was a degree of spatial structure, our phylogeographic analyses support frequent gene flow between populations and the direction of gene flow, primarily from north to south, corresponds to the route of seed potato transportation, suggesting a role of human activities in the dispersal of P. infestans in China.
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Affiliation(s)
- Fangluan Gao
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Changsheng Chen
- Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, China
| | - Benjin Li
- Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, China
| | - Qiyong Weng
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
- Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, China
| | - Qinghe Chen
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
- Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, China
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Miller EA, Elnekave E, Flores-Figueroa C, Johnson A, Kearney A, Munoz-Aguayo J, Tagg KA, Tschetter L, Weber BP, Nadon CA, Boxrud D, Singer RS, Folster JP, Johnson TJ. Emergence of a Novel Salmonella enterica Serotype Reading Clonal Group Is Linked to Its Expansion in Commercial Turkey Production, Resulting in Unanticipated Human Illness in North America. mSphere 2020; 5:e00056-20. [PMID: 32295868 PMCID: PMC7160679 DOI: 10.1128/msphere.00056-20] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 03/26/2020] [Indexed: 01/09/2023] Open
Abstract
Two separate human outbreaks of Salmonella enterica serotype Reading occurred between 2017 and 2019 in the United States and Canada, and both outbreaks were linked to the consumption of raw turkey products. In this study, a comprehensive genomic investigation was conducted to reconstruct the evolutionary history of S. Reading from turkeys and to determine the genomic context of outbreaks involving this infrequently isolated Salmonella serotype. A total of 988 isolates of U.S. origin were examined using whole-genome-based approaches, including current and historical isolates from humans, meat, and live food animals. Broadly, isolates clustered into three major clades, with one apparently highly adapted turkey clade. Within the turkey clade, isolates clustered into three subclades, including an "emergent" clade that contained only isolates dated 2016 or later, with many of the isolates from these outbreaks. Genomic differences were identified between emergent and other turkey subclades, suggesting that the apparent success of currently circulating subclades is, in part, attributable to plasmid acquisitions conferring antimicrobial resistance, gain of phage-like sequences with cargo virulence factors, and mutations in systems that may be involved in beta-glucuronidase activity and resistance towards colicins. U.S. and Canadian outbreak isolates were found interspersed throughout the emergent subclade and the other circulating subclade. The emergence of a novel S Reading turkey subclade, coinciding temporally with expansion in commercial turkey production and with U.S. and Canadian human outbreaks, indicates that emergent strains with higher potential for niche success were likely vertically transferred and rapidly disseminated from a common source.IMPORTANCE Increasingly, outbreak investigations involving foodborne pathogens are difficult due to the interconnectedness of food animal production and distribution, and homogeneous nature of industry integration, necessitating high-resolution genomic investigations to determine their basis. Fortunately, surveillance and whole-genome sequencing, combined with the public availability of these data, enable comprehensive queries to determine underlying causes of such outbreaks. Utilizing this pipeline, it was determined that a novel clone of Salmonella Reading has emerged that coincided with increased abundance in raw turkey products and two outbreaks of human illness in North America. The rapid dissemination of this highly adapted and conserved clone indicates that it was likely obtained from a common source and rapidly disseminated across turkey production. Key genomic changes may have contributed to its apparent continued success in commercial turkeys and ability to cause illness in humans.
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Affiliation(s)
- Elizabeth A Miller
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA
| | - Ehud Elnekave
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA
| | | | - Abigail Johnson
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA
| | - Ashley Kearney
- Public Health Agency of Canada, National Microbiology Laboratory, Winnipeg, Canada
| | - Jeannette Munoz-Aguayo
- Mid-Central Research and Outreach Center, University of Minnesota, Willmar, Minnesota, USA
| | | | - Lorelee Tschetter
- Public Health Agency of Canada, National Microbiology Laboratory, Winnipeg, Canada
| | - Bonnie P Weber
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA
| | - Celine A Nadon
- Public Health Agency of Canada, National Microbiology Laboratory, Winnipeg, Canada
| | - Dave Boxrud
- Minnesota Department of Health, Saint Paul, Minnesota, USA
| | - Randall S Singer
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA
| | - Jason P Folster
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Timothy J Johnson
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA
- Mid-Central Research and Outreach Center, University of Minnesota, Willmar, Minnesota, USA
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49
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Cabrera Mederos D, Torres C, Bejerman N, Trucco V, Lenardon S, Leiva Mora M, Giolitti F. Phylodynamics of sunflower chlorotic mottle virus, an emerging pathosystem. Virology 2020; 545:33-39. [PMID: 32308196 DOI: 10.1016/j.virol.2020.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/12/2020] [Accepted: 02/18/2020] [Indexed: 10/24/2022]
Abstract
Distribution and epidemiological patterns of sunflower chlorotic mottle virus (SCMoV) in sunflower (Helianthus annuus L.) growing areas in Argentina were studied from 2006 to 2017. The virus was detected exclusively in the Pampas region (Entre Ríos, Santa Fe, Córdoba, La Pampa and Buenos Aires provinces). Phylodynamic analyses performed using the coat protein gene of SCMoV isolates from sunflower and weeds dated the most recent common ancestor (MRCA) back to 1887 (HPD95% = 1572-1971), which coincides with the dates of sunflower introduction in Argentina. The MRCA was located in the south of Buenos Aires province and was associated with sunflower host (posterior probability for the ancestral host, ppah = 0.98). The Bayesian phylodynamic analyses revealed the dispersal patterns of SCMoV, suggesting a link between natural host diversity, crop displacement by human activities and virus spread.
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Affiliation(s)
- Dariel Cabrera Mederos
- Instituto Nacional de Tecnología Agropecuaria, Centro de Investigaciones Agropecuarias, Instituto de Patología Vegetal Ing. Agr. Sergio Fernando Nome, Av. 11 de Septiembre 4755, X5020ICA, Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, Unidad de Fitopatología y Modelización Agrícola, Av. 11 de Septiembre 4755, X5020ICA, Córdoba, Argentina.
| | - Carolina Torres
- Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica, Cátedra de Virología, Junin 956, 4 Piso, C1113AAD, Ciudad Autónoma de Buenos Aires, Argentina
| | - Nicolás Bejerman
- Instituto Nacional de Tecnología Agropecuaria, Centro de Investigaciones Agropecuarias, Instituto de Patología Vegetal Ing. Agr. Sergio Fernando Nome, Av. 11 de Septiembre 4755, X5020ICA, Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, Unidad de Fitopatología y Modelización Agrícola, Av. 11 de Septiembre 4755, X5020ICA, Córdoba, Argentina
| | - Verónica Trucco
- Instituto Nacional de Tecnología Agropecuaria, Centro de Investigaciones Agropecuarias, Instituto de Patología Vegetal Ing. Agr. Sergio Fernando Nome, Av. 11 de Septiembre 4755, X5020ICA, Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, Unidad de Fitopatología y Modelización Agrícola, Av. 11 de Septiembre 4755, X5020ICA, Córdoba, Argentina
| | - Sergio Lenardon
- Instituto Nacional de Tecnología Agropecuaria, Centro de Investigaciones Agropecuarias, Instituto de Patología Vegetal Ing. Agr. Sergio Fernando Nome, Av. 11 de Septiembre 4755, X5020ICA, Córdoba, Argentina; Universidad Nacional de Río Cuarto, Facultad de Agronomía y Veterinaria, Ruta Nacional 36, Km. 601, X5804BYA, Río Cuarto, Córdoba, Argentina
| | - Michel Leiva Mora
- Escuela Superior Politécnica de Chimborazo, Facultad de Recursos Naturales, Laboratorio de Fitopatología, EC060155, Riobamba, Ecuador
| | - Fabián Giolitti
- Instituto Nacional de Tecnología Agropecuaria, Centro de Investigaciones Agropecuarias, Instituto de Patología Vegetal Ing. Agr. Sergio Fernando Nome, Av. 11 de Septiembre 4755, X5020ICA, Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, Unidad de Fitopatología y Modelización Agrícola, Av. 11 de Septiembre 4755, X5020ICA, Córdoba, Argentina.
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50
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Wang H, Yang C, Sun Z, Zheng W, Zhang W, Yu H, Wu Y, Didelot X, Yang R, Pan J, Cui Y. Genomic epidemiology of Vibrio cholerae reveals the regional and global spread of two epidemic non-toxigenic lineages. PLoS Negl Trop Dis 2020; 14:e0008046. [PMID: 32069325 PMCID: PMC7048298 DOI: 10.1371/journal.pntd.0008046] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 02/28/2020] [Accepted: 01/09/2020] [Indexed: 12/14/2022] Open
Abstract
Non-toxigenic Vibrio cholerae isolates have been found associated with diarrheal disease globally, however, the global picture of non-toxigenic infections is largely unknown. Among non-toxigenic V. cholerae, ctxAB negative, tcpA positive (CNTP) isolates have the highest risk of disease. From 2001 to 2012, 71 infectious diarrhea cases were reported in Hangzhou, China, caused by CNTP serogroup O1 isolates. We sequenced 119 V. cholerae genomes isolated from patients, carriers and the environment in Hangzhou between 2001 and 2012, and compared them with 850 publicly available global isolates. We found that CNTP isolates from Hangzhou belonged to two distinctive lineages, named L3b and L9. Both lineages caused disease over a long time period with usually mild or moderate clinical symptoms. Within Hangzhou, the spread route of the L3b lineage was apparently from rural to urban areas, with aquatic food products being the most likely medium. Both lineages had been previously reported as causing local endemic disease in Latin America, but here we show that global spread of them has occurred, with the most likely origin of L3b lineage being in Central Asia. The L3b lineage has spread to China on at least three occasions. Other spread events, including from China to Thailand and to Latin America were also observed. We fill the missing links in the global spread of the two non-toxigenic serogroup O1 V. cholerae lineages that can cause human infection. The results are important for the design of future disease control strategies: surveillance of V. cholerae should not be limited to ctxAB positive strains.
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Affiliation(s)
- Haoqiu Wang
- Microbiology Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Chao Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Zhou Sun
- Institution of Infectious Disease Control, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Wei Zheng
- Microbiology Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Wei Zhang
- Microbiology Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Hua Yu
- Microbiology Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Yarong Wu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Xavier Didelot
- School of Life Sciences, University of Warwick, Gibbet Hill Campus, Coventry, United Kingdom
- Department of Statistics, University of Warwick, Coventry, United Kingdom
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jingcao Pan
- Microbiology Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Yujun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
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