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Cheney L, Payne M, Kaur S, Lan R. SaLTy: a novel Staphylococcus aureus Lineage Typer. Microb Genom 2024; 10. [PMID: 38739116 DOI: 10.1099/mgen.0.001250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024] Open
Abstract
Staphylococcus aureus asymptomatically colonises 30 % of humans but can also cause a range of diseases, which can be fatal. In 2017 S. aureus was associated with 20 000 deaths in the USA alone. Dividing S. aureus isolates into smaller sub-groups can reveal the emergence of distinct sub-populations with varying potential to cause infections. Despite multiple molecular typing methods categorising such sub-groups, they do not take full advantage of S. aureus genome sequences when describing the fundamental population structure of the species. In this study, we developed Staphylococcus aureus Lineage Typing (SaLTy), which rapidly divides the species into 61 phylogenetically congruent lineages. Alleles of three core genes were identified that uniquely define the 61 lineages and were used for SaLTy typing. SaLTy was validated on 5000 genomes and 99.12 % (4956/5000) of isolates were assigned the correct lineage. We compared SaLTy lineages to previously calculated clonal complexes (CCs) from BIGSdb (n=21 173). SALTy improves on CCs by grouping isolates congruently with phylogenetic structure. SaLTy lineages were further used to describe the carriage of Staphylococcal chromosomal cassette containing mecA (SCCmec) which is carried by methicillin-resistant S. aureus (MRSA). Most lineages had isolates lacking SCCmec and the four largest lineages varied in SCCmec over time. Classifying isolates into SaLTy lineages, which were further SCCmec typed, allowed SaLTy to describe high-level MRSA epidemiology. We provide SaLTy as a simple typing method that defines phylogenetic lineages (https://github.com/LanLab/SaLTy). SaLTy is highly accurate and can quickly analyse large amounts of S. aureus genome data. SaLTy will aid the characterisation of S. aureus populations and ongoing surveillance of sub-groups that threaten human health.
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Affiliation(s)
- Liam Cheney
- School of Biotechnology and Biomolecular Science, University of New South Wales, Sydney, Australia
| | - Michael Payne
- School of Biotechnology and Biomolecular Science, University of New South Wales, Sydney, Australia
| | - Sandeep Kaur
- School of Biotechnology and Biomolecular Science, University of New South Wales, Sydney, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Science, University of New South Wales, Sydney, Australia
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Okoh EB, Payne M, Lan R, Riegler M, Chapman T, Bogema D. A Multilocus Sequence Tying Scheme for Rapid Identification of Xanthomonas citri Based on Whole Genome Sequencing Data. Phytopathology 2024. [PMID: 38669587 DOI: 10.1094/phyto-12-23-0490-r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
Xanthomonas citri is a plant-pathogenic bacterium associated with a diverse range of plant host species. It has undergone substantial reclassification and currently consists of fourteen different subspecies or pathovars that are responsible for a wide range of plant diseases. Whole genome sequencing (WGS) provides a cutting-edge advantage over other diagnostic techniques in epidemiological and evolutionary studies of X. citri because it has a higher discriminatory power and is replicable across laboratories. Also, WGS allows the improvement of multi-locus sequence typing (MLST) schemes. In this study, we used genome sequences of Xanthomonas isolates from the NCBI RefSeq database to develop a seven-gene MLST scheme that yielded 19 sequence types (STs) that correlated with phylogenetic clades of X. citri subspecies/pathovars. Using this MLST scheme, we examined 2,911 assemblies from NCBI GenBank and identified 15 novel STs from 37 isolates that were misclassified in the NCBI. In total, we identified 545 X. citri assemblies from GenBank with 95% average nucleotide identity to the X. citri type strain and all were classified as one of the 34 STs. All MLST classifications correlated with phylogenetic position inferred from alignments using 92 conserved genes. We observed several instances where strains from different pathovars formed closely related monophyletic clades and shared the same ST, indicating that further investigation of the validity of these pathovars is required. Our MLST scheme described here is a robust tool for rapid classification of X. citri pathovars using WGS and a powerful method for further comprehensive taxonomic revision of X. citri pathovars.
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Affiliation(s)
- Efenaide B Okoh
- Western Sydney University Hawkesbury Institute for the Environment, 283861, Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, New South Wales, Australia, 2751
- Elizabeth Macarthur Agricultural Institute, 153388, NSW Department of Primary Industries, Menangle, New South Wales, Australia, 2568;
| | - Michael Payne
- School of Biotechnology and Biomolecular Science, University of New South Wales, , Sydney, New South Wales, Australia;
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Science, University of New South Wales, , Sydney, New South Wales, Australia;
| | - Markus Riegler
- Western Sydney University Hawkesbury Institute for the Environment, 283861, Penrith, New South Wales, Australia;
| | - Toni Chapman
- Elizabeth Macarthur Agricultural Institute, 153388, Biosecurity and Food Safety, NSW Department of Primary Industries, Menangle, New South Wales, Australia;
| | - Daniel Bogema
- New South Wales Department of Primary Industries, 356586, Elizabeth Macarthur Agricultural Institute, Woodbridge Rd, Menangle, New South Wales, Australia, 2568;
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Fu S, Wang Q, Wang R, Zhang Y, Lan R, He F, Yang Q. Corrigendum to "Horizontal transfer of antibiotic resistance genes within the bacterial communities in aquacultural environment" [Sci. Total Environ. 820 (2022) 153286]. Sci Total Environ 2024; 922:171434. [PMID: 38458948 DOI: 10.1016/j.scitotenv.2024.171434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/10/2024]
Affiliation(s)
- Songzhe Fu
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China.
| | - Qingyao Wang
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China; Key Laboratory of Environment Controlled Aquaculture, Dalian Ocean University, Ministry of Education, 116023 Dalian, China
| | - Rui Wang
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China; Key Laboratory of Environment Controlled Aquaculture, Dalian Ocean University, Ministry of Education, 116023 Dalian, China
| | - Yixiang Zhang
- CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Shanghai, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Fenglan He
- The Collaboration Unit for Field Epidemiology of State Key Laboratory for Infectious Disease Prevention and Control, Nanchang Center for Disease Control and Prevention, Nanchang, China
| | - Qian Yang
- Center for Microbial Ecology and Technology (CMET), Ghent University, Coupure Links 653, 9000 Gent, Belgium.
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Wu R, Payne M, Zhang L, Lan R. Uncovering the boundaries of Campylobacter species through large-scale phylogenetic and nucleotide identity analyses. mSystems 2024; 9:e0121823. [PMID: 38530055 PMCID: PMC11019964 DOI: 10.1128/msystems.01218-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/21/2024] [Indexed: 03/27/2024] Open
Abstract
Campylobacter species are typically helical shaped, Gram-negative, and non-spore-forming bacteria. Species in this genus include established foodborne and animal pathogens as well as emerging pathogens. The accumulation of genomic data from the Campylobacter genus has increased exponentially in recent years, accompanied by the discovery of putative new species. At present, the lack of a standardized species boundary complicates distinguishing established and novel species. We defined the Campylobacter genus core genome (500 loci) using publicly available Campylobacter complete genomes (n = 498) and constructed a core genome phylogeny using 2,193 publicly available Campylobacter genomes to examine inter-species diversity and species boundaries. Utilizing 8,440 Campylobacter genomes representing 33 species and 8 subspecies, we found species delineation based on an average nucleotide identity (ANI) cutoff of 94.2% is consistent with the core genome phylogeny. We identified 60 ANI genomic species that delineated Campylobacter species in concordance with previous comparative genetic studies. All pairwise ANI genomic species pairs had in silico DNA-DNA hybridization scores of less than 70%, supporting their delineation as separate species. We provide the tool Campylobacter Genomic Species typer (CampyGStyper) that assigns ANI genomic species to query genomes based on ANI similarities to medoid genomes from each ANI genomic species with an accuracy of 99.96%. The ANI genomic species definitions proposed here allow consistent species definition in the Campylobacter genus and will facilitate the detection of novel species in the future.IMPORTANCEIn recent years, Campylobacter has gained recognition as the leading cause of bacterial gastroenteritis worldwide, leading to a substantial rise in the collection of genomic data of the Campylobacter genus in public databases. Currently, a standardized Campylobacter species boundary at the genomic level is absent, leading to challenges in detecting emerging pathogens and defining putative novel species within this genus. We used a comprehensive representation of genomes of the Campylobacter genus to construct a core genome phylogenetic tree. Furthermore, we found an average nucleotide identity (ANI) of 94.2% as the optimal cutoff to define the Campylobacter species. Using this cutoff, we identified 60 ANI genomic species which provided a standardized species definition and nomenclature. Importantly, we have developed Campylobacter Genomic Species typer (CampyGStyper), which can robustly and accurately assign these ANI genomic species to Campylobacter genomes, thereby aiding pathogen surveillance and facilitating evolutionary and epidemiological studies of existing and emerging pathogens in the genus Campylobacter.
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Affiliation(s)
- Ruochen Wu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Li Zhang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
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Payne M, Williamson S, Wang Q, Zhang X, Sintchenko V, Pavic A, Lan R. Emergence of Poultry-Associated Human Salmonella enterica Serovar Abortusovis Infections, New South Wales, Australia. Emerg Infect Dis 2024; 30:691-700. [PMID: 38526124 PMCID: PMC10977856 DOI: 10.3201/eid3004.230958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2024] Open
Abstract
Salmonella enterica serovar Abortusovis is a ovine-adapted pathogen that causes spontaneous abortion. Salmonella Abortusovis was reported in poultry in 2009 and has since been reported in human infections in New South Wales, Australia. Phylogenomic analysis revealed a clade of 51 closely related isolates from Australia originating in 2004. That clade was genetically distinct from ovine-associated isolates. The clade was widespread in New South Wales poultry production facilities but was only responsible for sporadic human infections. Some known virulence factors associated with human infections were only found in the poultry-associated clade, some of which were acquired through prophages and plasmids. Furthermore, the ovine-associated clade showed signs of genome decay, but the poultry-associated clade did not. Those genomic changes most likely led to differences in host range and disease type. Surveillance using the newly identified genetic markers will be vital for tracking Salmonella Abortusovis transmission in animals and to humans and preventing future outbreaks.
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Luo Y, Payne M, Kaur S, Octavia S, Jiang J, Lan R. Emergence and genomic insights of non-pandemic O1 Vibrio cholerae in Zhejiang, China. Microbiol Spectr 2023; 11:e0261523. [PMID: 37819129 PMCID: PMC10871787 DOI: 10.1128/spectrum.02615-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 09/06/2023] [Indexed: 10/13/2023] Open
Abstract
IMPORTANCE It is well recognized that only Vibrio cholerae O1 causes cholera pandemics. However, not all O1 strains cause pandemic-level disease. In this study, we analyzed non-pandemic O1 V. cholerae isolates from the 1960s to the 1990s from China and found that they fell into three lineages, one of which shared the most recent common ancestor with pandemic O1 strains. Each of these non-pandemic O1 lineages has unique properties that contribute to their capacity to cause cholera. The findings of this study enhanced our understanding of the emergence and evolution of both pandemic and non-pandemic O1 V. cholerae.
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Affiliation(s)
- Yun Luo
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Sandeep Kaur
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Jianmin Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
- Key Lab of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
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Huang Z, Yu K, Lan R, Glenn Morris J, Xiao Y, Ye J, Zhang L, Luo L, Gao H, Bai X, Wang D. Vibrio metschnikovii as an emergent pathogen: analyses of phylogeny and O-antigen and identification of possible virulence characteristics. Emerg Microbes Infect 2023; 12:2252522. [PMID: 37616379 PMCID: PMC10484048 DOI: 10.1080/22221751.2023.2252522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 08/26/2023]
Abstract
Vibrio metschnikovii is an emergent pathogen that causes human infections which may be fatal. However, the phylogenetic characteristics and pathogenicity determinants of V. metschnikovii are poorly understood. Here, the whole-genome features of 103 V. metschnikovii strains isolated from different sources are described. On phylogenetic analysis V. metschnikovii populations could be divided into two major lineages, defined as lineage 1 (L1) and 2 (L2), of which L1 was more likely to be associated with human activity. Meanwhile, we defined 29 V. metschnikovii O-genotypes (VMOg, named VMOg1-VMOg29) by analysis of the O-antigen biosynthesis gene clusters (O-AGCs). Most VMOgs (VMOg1 to VMOg28) were assembled by the Wzx/Wzy pathway, while only VMOg29 used the ABC transporter pathway. Based on the sequence variation of the wzx and wzt genes, an in silico O-genotyping system for V. metschnikovii was developed. Furthermore, nineteen virulence-associated factors involving 161 genes were identified within the V. metschnikovii genomes, including genes encoding motility, adherence, toxins, and secretion systems. In particular, V. metschnikovii was found to promote a high level of cytotoxicity through the synergistic action of the lateral flagella and T6SS. The lateral flagellar-associated flhA gene played an important role in the adhesion and colonization of V. metschnikovii during the early stages of infection. Overall, this study provides an enhanced understanding of the genomic evolution, O-AGCs diversity, and potential pathogenic features of V. metschnikovii.
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Affiliation(s)
- Zhenzhou Huang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing, People’s Republic of China
- Center for Human Pathogenic Culture Collection, China CDC, Beijing, People’s Republic of China
- Hangzhou Center for Disease Control and Prevention, Hangzhou, People’s Republic of China
| | - Keyi Yu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing, People’s Republic of China
- Center for Human Pathogenic Culture Collection, China CDC, Beijing, People’s Republic of China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - J. Glenn Morris
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
| | - Yue Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing, People’s Republic of China
- Center for Human Pathogenic Culture Collection, China CDC, Beijing, People’s Republic of China
| | - Julian Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People’s Republic of China
| | - Leyi Zhang
- Wenzhou Center for Disease Control and Prevention, Wenzhou, People’s Republic of China
| | - Longze Luo
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, People’s Republic of China
| | - He Gao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing, People’s Republic of China
- Center for Human Pathogenic Culture Collection, China CDC, Beijing, People’s Republic of China
| | - Xuemei Bai
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing, People’s Republic of China
- Center for Human Pathogenic Culture Collection, China CDC, Beijing, People’s Republic of China
| | - Duochun Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing, People’s Republic of China
- Center for Human Pathogenic Culture Collection, China CDC, Beijing, People’s Republic of China
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Yu K, Huang Z, Lan R, Morris JG, Xiao Y, Fu S, Gao H, Bai X, Li K, Wang D. Genomic Characteristion of Opportunistic Pathogen Kluyvera Reveals a Novel CTX-M Subgroup. Microorganisms 2023; 11:2836. [PMID: 38137980 PMCID: PMC10745516 DOI: 10.3390/microorganisms11122836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/15/2023] [Accepted: 11/20/2023] [Indexed: 12/24/2023] Open
Abstract
A rising incidence of clinical infections has been caused by Kluyvera, a significant opportunistic pathogen. Meanwhile, Kluyvera acts as an important reservoir of blaCTX-Ms, which are the dominant genes of class A extended-spectrum β-lactamases (ESBLs). In this work, 60 strains of Kluyvera were subjected to phylogenetic relationship reconstruction, antimicrobial susceptibility testing, and antibiotic resistance genes prediction. All mature blaCTX-Ms were gathered to perform subgroup reclassification. The findings demonstrate that Kluyvera has a large gene pool with significant genetic flexibility. Notably, 25% of strains showed simultaneous detection of ESBLs and carbapenem resistance genes. The genotypes of fourteen novel blaCTX-Ms were identified. A new subgroup classification approach for blaCTX-Ms was defined by using 20 amino acid site variants, which could split blaCTX-Ms into 10 subgroups. The results of the subgroup division were consistent with the phylogenetic clustering. More significantly, we proposed a novel blaCTX-M subgroup, KLUS, that is chromosomally encoded in K. sichuanensis and the new species put forward in this study, showing amino acid differences from the currently known sequences. Cloning and transformation tests demonstrated that the recipient bacteria had a robust phenotype of cefotaxime resistance. Closely related Kluyvera species had blaCTX-Ms in the same subgroup. Our research lays the groundwork for a deeper comprehension of Kluyvera and emphasizes how important a blaCTX-M reservoir it is. We provide an update on blaCTX-M subgroups reclassification from the aspects of phylogenetic relationship, amino acid differences, and the new subgroup KLUS, which needs to be strengthen monitored due to its strong resistance phenotype to cefotaxime.
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Affiliation(s)
- Keyi Yu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing 102206, China; (K.Y.); (Y.X.); (H.G.); (X.B.); (K.L.)
| | - Zhenzhou Huang
- Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China;
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia;
| | - J. Glenn Morris
- Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610, USA;
| | - Yue Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing 102206, China; (K.Y.); (Y.X.); (H.G.); (X.B.); (K.L.)
| | - Songzhe Fu
- College of Marine Science and Environment, Dalian Ocean University, Dalian 116023, China;
| | - He Gao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing 102206, China; (K.Y.); (Y.X.); (H.G.); (X.B.); (K.L.)
| | - Xuemei Bai
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing 102206, China; (K.Y.); (Y.X.); (H.G.); (X.B.); (K.L.)
| | - Kun Li
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing 102206, China; (K.Y.); (Y.X.); (H.G.); (X.B.); (K.L.)
| | - Duochun Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing 102206, China; (K.Y.); (Y.X.); (H.G.); (X.B.); (K.L.)
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Lee SA, Liu F, Yuwono C, Phan M, Chong S, Biazik J, Tay ACY, Janitz M, Riordan SM, Lan R, Wehrhahn MC, Zhang L. Emerging Aeromonas enteric infections: their association with inflammatory bowel disease and novel pathogenic mechanisms. Microbiol Spectr 2023; 11:e0108823. [PMID: 37732778 PMCID: PMC10581128 DOI: 10.1128/spectrum.01088-23] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/28/2023] [Indexed: 09/22/2023] Open
Abstract
Aeromonas species are emerging human enteric pathogens. This study examines the isolation of Aeromonas and other enteric bacterial pathogens from patients with and without inflammatory bowel disease (IBD). This study also investigates the intestinal epithelial pathogenic mechanisms of Aeromonas veronii. The isolation rates of seven enteric bacterial pathogens from 2,279 patients with IBD and 373,276 non-IBD patients were compared. An A. veronii strain (AS1) isolated from intestinal biopsies of a patient with IBD was used for pathogenic mechanism investigation, and Escherichia coli K12 was used as a bacterial control. HT-29 cells were used as a model of human intestinal epithelium. A significantly higher isolation of Aeromonas species was found in patients with IBD as compared to non-IBD patients (P = 0.0001, odds ratio = 2.11). A. veronii upregulated 177 inflammatory genes and downregulated 52 protein-coding genes affecting chromatin assembly, multiple small nuclear RNAs, multiple nucleolar RNAs, and 55 cytoplasmic tRNAs in HT-29 cells. These downregulation effects were unique to A. veronii and not observed in HT-29 cells infected with E. coli K12. A. veronii induced intestinal epithelial apoptosis involving the intrinsic pathway. A. veronii caused epithelial microvilli shortening and damage and epithelial production of IL-8. In conclusion, this study for the first time reports the association between IBD and Aeromonas enteric infection detected by bacterial cultivation. This study also reports that A. veronii damages intestinal epithelial cells via multiple mechanisms, of which the downregulating cytoplasmic tRNA, small nuclear RNA, and small nucleolar RNA are novel bacterial pathogenic mechanisms. IMPORTANCE This study for the first time reports the association between inflammatory bowel disease (IBD) and Aeromonas enteric infection detected by bacterial pathogen cultivation, highlighting the need of clinical and public health attention. The finding that patients with IBD are more susceptible to Aeromonas enteric infection suggests that detection of Aeromonas enteric infection should be routinely performed for the diagnosis and treatment of IBD. This study also reports novel bacterial pathogenic mechanisms employed by Aeromonas veronii. Through comparative transcriptomic analysis and other techniques, this study revealed the pathogenic mechanisms by which A. veronii causes damage to intestinal epithelial cells. Among the various pathogenic mechanisms identified, the downregulating tRNA, small nuclear and nucleolar RNAs in human intestinal epithelial cells are novel bacterial pathogenic mechanisms.
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Affiliation(s)
- Seul A. Lee
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Fang Liu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Christopher Yuwono
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Monique Phan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Sarah Chong
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Joanna Biazik
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, New South Wales, Australia
| | - Alfred Chin Yen Tay
- Helicobacter Research Laboratory, School of Pathology and Laboratory Medicine, Marshall Centre for Infectious Diseases Research and Training, University of Western Australia, Perth, Australia
| | - Michael Janitz
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Stephen M. Riordan
- Gastrointestinal and Liver Unit, Prince of Wales Hospital, University of New South Wales, Sydney, New South Wales, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Michael C. Wehrhahn
- Douglass Hanly Moir Pathology, a Sonic Healthcare Australia Pathology Practice, Macquarie Park, New South Wales, Australia
| | - Li Zhang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
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Suyama H, Luu LDW, Zhong L, Raftery MJ, Lan R. Integrating proteomic data with metabolic modeling provides insight into key pathways of Bordetella pertussis biofilms. Front Microbiol 2023; 14:1169870. [PMID: 37601354 PMCID: PMC10435875 DOI: 10.3389/fmicb.2023.1169870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 07/19/2023] [Indexed: 08/22/2023] Open
Abstract
Pertussis, commonly known as whooping cough is a severe respiratory disease caused by the bacterium, Bordetella pertussis. Despite widespread vaccination, pertussis resurgence has been observed globally. The development of the current acellular vaccine (ACV) has been based on planktonic studies. However, recent studies have shown that B. pertussis readily forms biofilms. A better understanding of B. pertussis biofilms is important for developing novel vaccines that can target all aspects of B. pertussis infection. This study compared the proteomic expression of biofilm and planktonic B. pertussis cells to identify key changes between the conditions. Major differences were identified in virulence factors including an upregulation of toxins (adenylate cyclase toxin and dermonecrotic toxin) and downregulation of pertactin and type III secretion system proteins in biofilm cells. To further dissect metabolic pathways that are altered during the biofilm lifestyle, the proteomic data was then incorporated into a genome scale metabolic model using the Integrative Metabolic Analysis Tool (iMAT). The generated models predicted that planktonic cells utilised the glyoxylate shunt while biofilm cells completed the full tricarboxylic acid cycle. Differences in processing aspartate, arginine and alanine were identified as well as unique export of valine out of biofilm cells which may have a role in inter-bacterial communication and regulation. Finally, increased polyhydroxybutyrate accumulation and superoxide dismutase activity in biofilm cells may contribute to increased persistence during infection. Taken together, this study modeled major proteomic and metabolic changes that occur in biofilm cells which helps lay the groundwork for further understanding B. pertussis pathogenesis.
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Affiliation(s)
- Hiroki Suyama
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Laurence Don Wai Luu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Ling Zhong
- Bioanalytical Mass Spectrometry Facility, University of New South Wales, Sydney, NSW, Australia
| | - Mark J. Raftery
- Bioanalytical Mass Spectrometry Facility, University of New South Wales, Sydney, NSW, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
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11
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Payne M, Xu Z, Hu D, Kaur S, Octavia S, Sintchenko V, Lan R. Genomic epidemiology and multilevel genome typing of Bordetella pertussis. Emerg Microbes Infect 2023:2239945. [PMID: 37483082 PMCID: PMC10399484 DOI: 10.1080/22221751.2023.2239945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Bordetella pertussis causes pertussis (or whooping cough), a severe respiratory infectious disease in infants, although it can be prevented by whole cell and acellular vaccines. The recent pertussis resurgence in industrialised countries is partly attributed to pathogen adaptation to vaccines, while emergence of antimicrobial resistance, specifically to macrolides in China, has become a concern. Surveillance of current circulating and emerging strains is therefore vital to understand the risks they pose to public health. Although there is increased genomics-based typing, a genomic nomenclature for this pathogen has not been well established. Here, we implemented the Multilevel Genome Typing (MGT) system for B. pertussis with five levels of resolution, which provide targeted typing of relevant lineages and discrimination of closely related strains at the finest scale. The low-resolution levels (MGT2 and MGT3) describe the distribution of major vaccine antigen alleles including ptxP, fim3, fhaB and prn, as well as temporal and spatial trends within the B. pertussis global population. Mid-resolution levels (MGT3 and MGT4) enable typing of antibiotic resistant lineages and Prn deficient lineages within the ptxP3 clade. The high-resolution level (MGT5) can capture finer-scale epidemiology such as outbreaks and local transmission events, with comparable resolution to existing genomic methods of strain relatedness assessment. The scheme offers stable MGT type assignments aiding harmonisation of typing and communication between laboratories. The scheme is available at https://mgtdb.unsw.edu.au/pertussis, is regularly updated from global data repositories and accepts public submissions. The MGT scheme provides a comprehensive, robust, and scalable system for global surveillance of B. pertussis.
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Affiliation(s)
- Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales, Australia
| | - Zheng Xu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales, Australia
| | - Dalong Hu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales, Australia
| | - Sandeep Kaur
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales, Australia
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales, Australia
| | - Vitali Sintchenko
- Centre for Infectious Diseases and Microbiology - Public Health, Institute of Clinical Pathology and Medical Research - NSW Health Pathology, Westmead Hospital, New South Wales, Australia
- Sydney Institute for Infectious Diseases, Sydney Medical School, University of Sydney, New South Wales, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales, Australia
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12
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Hoarau E, Quilhot P, Baaroun V, Lescaille G, Campana F, Lan R, Rochefort J. Oral giant cell tumor or giant cell granuloma: How to know? Heliyon 2023; 9:e14087. [PMID: 36923864 PMCID: PMC10008978 DOI: 10.1016/j.heliyon.2023.e14087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/19/2023] [Accepted: 02/21/2023] [Indexed: 03/06/2023] Open
Abstract
Introduction The distinction between giant cell tumors and giant cell granulomas is challenging, as both entities have overlapping diagnostic criteria, especially in oral locations. The two entities have similar clinical and radiological presentations, but they differ in their prognoses. Objective The main objective of this study was to list the clinical, radiological, histological, and prognostic features of maxillomandibular giant cell tumors and giant cell granulomas cases n order to assess their value as a diagnostic referral factor that may allow the distinction between maxillo-mandibular giant cell granuloma and giant cell tumor. Study design Data of maxillomandibular giant cell granulomas and giant cell tumors were assessed through a scoping review and a pre-existing systematic review of literature. We have also realized a bicentric retrospective study. Results Various criteria facilitate the differential diagnosis like age, size, locularity and presence of necrosis zone but not the gender. The most discriminating factors was symptomatology (reported in 72% of GCTs while only 15% of GCGs) and the distribution pattern of giant cells in the stroma (homogeneously dispersed in 80% of GCTs versus grouped in clusters in 86.7% of GCGs). Recurrences were most described for giant cell tumors than giant cell granulomas. Malignant transformation and pulmonary metastasis were exclusively reported for giant cell tumors. Conclusion As clinical and radiological elements are not sufficient to distinguish between these two entities, immunohistochemistry and molecular genetics can be represent diagnostic biomarkers to distinguish giant cell granulomas and giant cell tumors in oral cavity. We have attempted to define the main criteria for the differentiation of giant cell tumor and giant cell granuloma and propose a decision tree for the management of single maxillomandibular giant cell lesions.
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Affiliation(s)
- E. Hoarau
- Service Odontologie, Assistance Publique Hôpitaux de Paris (AP-HP), La Pitié-Salpêtrière, Paris, France
- Aix Marseille Univ, APHM, Timone Hospital, Oral Surgery Department, Marseille, France
| | - P. Quilhot
- Médecine Sorbonne Université, Paris, France
- Department of Pathology, Hôpital Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris, Paris, France
| | - V. Baaroun
- Service Odontologie, Assistance Publique Hôpitaux de Paris (AP-HP), La Pitié-Salpêtrière, Paris, France
- Université Paris Cité, Faculté de Santé, UFR Odontologie, Paris, France
| | - G. Lescaille
- Service Odontologie, Assistance Publique Hôpitaux de Paris (AP-HP), La Pitié-Salpêtrière, Paris, France
- Université Paris Cité, Faculté de Santé, UFR Odontologie, Paris, France
| | - F. Campana
- Aix Marseille Univ, APHM, INSERM, MMG, Timone Hospital, Oral Surgery Department, Marseille, France
| | - R. Lan
- Aix Marseille Univ, APHM, CNRS, EFS, ADES, Timone Hospital, Oral Surgery Department, Marseille, France
| | - J. Rochefort
- Service Odontologie, Assistance Publique Hôpitaux de Paris (AP-HP), La Pitié-Salpêtrière, Paris, France
- Université Paris Cité, Faculté de Santé, UFR Odontologie, Paris, France
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13
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Xu M, Lan R, Qiao L, Lin X, Hu D, Zhang S, Yang J, Zhou J, Ren Z, Li X, Liu G, Liu L, Xu J. Bacteroides vulgatus Ameliorates Lipid Metabolic Disorders and Modulates Gut Microbial Composition in Hyperlipidemic Rats. Microbiol Spectr 2023; 11:e0251722. [PMID: 36625637 PMCID: PMC9927244 DOI: 10.1128/spectrum.02517-22] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Hyperlipidemia is a risk factor and key indicator for cardiovascular diseases, and the gut microbiota is highly associated with hyperlipidemia. Bacteroides vulgatus is a prevalent mutualist across human populations and confers multiple health benefits such as immunoregulation, antiobesity, and coronary artery disease intervention. However, its role in antihyperlipidemia has not been systematically characterized. This study sought to identify the effect of B. vulgatus Bv46 on hyperlipidemia. Hyperlipidemic rats were modeled by feeding them a high-fat diet for 6 weeks. The effect of B. vulgatus Bv46 supplementation was evaluated by measuring anthropometric parameters, lipid and inflammation markers, and the liver pathology. Multi-omics was used to explore the underlying mechanisms. The ability of B. vulgatus Bv46 to produce bile salt hydrolase was confirmed by gene annotation and in vitro experiments. Oral administration of B. vulgatus Bv46 in hyperlipidemic rats significantly reduced the body weight gain, food efficiency, and liver index, improved the serum lipid profile, lowered the levels of serum inflammatory cytokines, promoted the loss of fecal bile acids (BAs), and extended the fecal pool of short-chain fatty acids (SCFAs), especially propionate and butyrate. B. vulgatus Bv46 induced compositional shifts of the gut microbial community of hyperlipidemic rats, characterized by a lower ratio of Firmicutes to Bacteroidetes with an increase of genera Bacteroides and Parabacteroides. After intervention, serum metabolite profiling exhibited an adaptation in amino acids and glycerophospholipid metabolism. Transcriptomics further detected altered biological processes, including primary bile acid biosynthesis and fatty acid metabolic process. Taken together, the findings suggest that B. vulgatus Bv46 could be a promising candidate for interventions against hyperlipidemia. IMPORTANCE As a core microbe of the human gut ecosystem, Bacteroides vulgatus has been linked to multiple aspects of metabolic disorders in a collection of associative studies, which, while indicative, warrants more direct experimental evidence to verify. In this study, we experimentally demonstrated that oral administration of B. vulgatus Bv46 ameliorated the serum lipid profile and systemic inflammation of high-fat diet-induced hyperlipidemic rats in a microbiome-regulated manner, which appears to be associated with changes of bile acid metabolism, short-chain fatty acid biosynthesis, and serum metabolomic profile. This finding supports the causal contribution of B. vulgatus in host metabolism and helps to form the basis of novel therapies for the treatment of hyperlipidemia.
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Affiliation(s)
- Mingchao Xu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province, China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Lei Qiao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaoying Lin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province, China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dalong Hu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Suping Zhang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province, China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Juan Zhou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhihong Ren
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xianping Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guoxing Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Jianguo Xu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province, China
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
- Institute of Public Health, Nankai University, Tianjin, China
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14
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Lan R, Ordioni U, Prince F, Loyer E, Catherine JH, Maille G. Implant Therapy in the Rehabilitation of Treated Mandibular Arteriovenous Malformations. J ORAL IMPLANTOL 2023; 49:13-17. [PMID: 33945617 DOI: 10.1563/aaid-joi-d-20-00037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 01/31/2021] [Accepted: 02/28/2021] [Indexed: 11/22/2022]
Abstract
Mandibular arteriovenous malformations are rare congenital malformations that require multidisciplinary care. Implant-supported rehabilitation of significant bone defect after embolization and resection is poorly described in the literature. We present the case of a 24-year-old patient with a right-sided mandibular arteriovenous malformation diagnosed after massive hemorrhage and treated by embolization and resection surgery. Implant rehabilitation was carried out 9 years later with a prior bone graft through iliac extraction and 3 short implants. Implant survival rate and patient satisfaction were evaluated at 3 years postplacement. Arteriovenous malformations treatments frequently result in bone defects that are difficult to reconstruct because of probable unstable vascularization due to embolization. The presence of osteosynthesis material and artifacts at the radiological level complicates implant planning due to the lack of visualization of the inferior alveolar nerve or artery and necessitates the placement of low-height implants. Osteointegration in contact with embolization products should be monitored. The creation of a case series could be of interest in order to better understand implant treatment for patients with a history of arteriovenous malformations.
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Affiliation(s)
- R Lan
- DDS, Resident and Associate Professor, Aix Marseille University, APHM, CNRS, EFS, ADES, Timone Hospital, Odontology Department, Functional Unit of Oral Surgery, Marseille, France
| | - U Ordioni
- Aix Marseille University, APHM, Timone Hospital, Odontology Department, Functional Unit of Oral Surgery, Marseille, France.,Private practice, Centre Massilien de la Face, Marseille, France
| | - F Prince
- Aix Marseille University, APHM, Timone Hospital, Odontology Department, Functional Unit of Prosthetic, Marseille, France
| | - E Loyer
- Aix Marseille University, APHM, Timone Hospital, Odontology Department, Functional Unit of Prosthetic, Marseille, France
| | - J H Catherine
- Private practice, Centre Massilien de la Face, Marseille, France
| | - G Maille
- Aix Marseille University, APHM, CNRS, EFS, ADES, Timone Hospital, Odontology Department, Functional Unit of Prosthetic, Marseille, France
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15
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Xu Z, Hu D, Luu LDW, Octavia S, Keil AD, Sintchenko V, Tanaka MM, Mooi FR, Robson J, Lan R. Genomic dissection of the microevolution of Australian epidemic Bordetella pertussis. Emerg Microbes Infect 2022; 11:1460-1473. [PMID: 35543519 PMCID: PMC9176669 DOI: 10.1080/22221751.2022.2077129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Whooping cough (pertussis) is a highly contagious respiratory disease caused by the bacterium Bordetella pertussis. Despite high vaccine coverage, pertussis has re-emerged in many countries including Australia and caused two large epidemics in Australia since 2007. Here, we undertook a genomic and phylogeographic study of 385 Australian B. pertussis isolates collected from 2008 to 2017. The Australian B. pertussis population was found to be composed of mostly ptxP3 strains carrying different fim3 alleles, with ptxP3-fim3A genotype expanding far more than ptxP3-fim3B. Within the former, there were six co-circulating epidemic lineages (EL1 to EL6). The multiple ELs emerged, expanded, and then declined at different time points over the two epidemics. In population genetics terms, both hard and soft selective sweeps through vaccine selection pressures have determined the population dynamics of Australian B. pertussis. Relative risk estimation suggests that once a new B. pertussis lineage emerged, it was more likely to spread locally within the first 1.5 years. However, after 1.5 years, any new lineage was likely to expand to a wider region. Phylogenetic analysis revealed the expansion of ptxP3 strains was also associated with replacement of the type III secretion system allele bscI1 with bscI3. bscI3 is associated with decreased T3SS secretion and may allow B. pertussis to reduce immune recognition. This study advanced our understanding of the epidemic population structure and spatial and temporal dynamics of B. pertussis in a highly immunized population.
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Affiliation(s)
- Zheng Xu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Dalong Hu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Laurence Don Wai Luu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Anthony D Keil
- Department of Microbiology, PathWest Laboratory Medicine WA, Perth Children's Hospital, Perth, Australia
| | - Vitali Sintchenko
- Centre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research, NSW Health Pathology and Westmead Hospital, Sydney, Australia.,Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, Australia
| | - Mark M Tanaka
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Frits R Mooi
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Jenny Robson
- Sullivan Nicolaides Pathology, Queensland, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
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16
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Liu L, Xu M, Lan R, Hu D, Li X, Qiao L, Zhang S, Lin X, Yang J, Ren Z, Xu J. Bacteroides vulgatus attenuates experimental mice colitis through modulating gut microbiota and immune responses. Front Immunol 2022; 13:1036196. [PMID: 36531989 PMCID: PMC9750758 DOI: 10.3389/fimmu.2022.1036196] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 11/11/2022] [Indexed: 12/03/2022] Open
Abstract
Introduction Bacteroides vulgatus is one of the predominant Bacteroides species in the human gut and exerts a series of beneficial effects. The aim of this study was to investigate the protective role of B. vulgatus Bv46 in a dextran sodium sulfate (DSS) induced colitis mouse model. Methods Female C57BL/6J mice were given 3% DSS in drinking water to induce colitis and simultaneously treated with B. vulgatus Bv46 by gavage for 7 days. Daily weight and disease activity index (DAI) of mice were recorded, and the colon length and histological changes were evaluated. The effects of B. vulgatus Bv46 on gut microbiota composition, fecal short chain fatty acids (SCFAs) concentration, transcriptome of colon, colonic cytokine level and cytokine secretion of RAW 264·7 macrophage cell line activated by the lipopolysaccharide (LPS) were assessed. Results and Discussion B. vulgatus Bv46 significantly attenuated symptoms of DSS-induced colitis in mice, including reduced DAI, prevented colon shortening, and alleviated colon histopathological damage. B. vulgatus Bv46 modified the gut microbiota community of colitis mice and observably increased the abundance of Parabacteroides, Bacteroides, Anaerotignum and Alistipes at the genus level. In addition, B. vulgatus Bv46 treatment decreased the expression of colonic TNF-α, IL-1β and IL-6 in DSS-induced mouse colitis in vivo, reduced the secretion of TNF-α, IL-1β and IL-6 in macrophages stimulated by LPS in vitro, and downregulated the expression of Ccl19, Cd19, Cd22, Cd40 and Cxcr5 genes in mice colon, which mainly participate in the regulation of B cell responses. Furthermore, oral administration of B. vulgatus Bv46 notably increased the contents of fecal SCFAs, especially butyric acid and propionic acid, which may contribute to the anti-inflammatory effect of B. vulgatus Bv46. Supplementation with B. vulgatus Bv46 serves as a promising strategy for the prevention of colitis.
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Affiliation(s)
- Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Mingchao Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Dalong Hu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Xianping Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lei Qiao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Suping Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiaoying Lin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhihong Ren
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China,*Correspondence: Jianguo Xu, ; Zhihong Ren,
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China,Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China,Institute of Public Health, Nankai University, Tianjin, China,*Correspondence: Jianguo Xu, ; Zhihong Ren,
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17
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Kaur S, Payne M, Luo L, Octavia S, Tanaka MM, Sintchenko V, Lan R. MGTdb: a web service and database for studying the global and local genomic epidemiology of bacterial pathogens. Database 2022; 2022:6823527. [PMID: 36367311 PMCID: PMC9650772 DOI: 10.1093/database/baac094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/30/2022] [Accepted: 10/17/2022] [Indexed: 11/13/2022]
Abstract
Multilevel genome typing (MGT) enables the genomic characterization of bacterial isolates and the relationships among them. The MGT system describes an isolate using multiple multilocus sequence typing (MLST) schemes, referred to as levels. Thus, for a new isolate, sequence types (STs) assigned at multiple precisely defined levels can be used to type isolates at multiple resolutions. The MGT designation for isolates is stable, and the assignment is faster than the existing approaches. MGT’s utility has been demonstrated in multiple species. This paper presents a publicly accessible web service called MGTdb, which enables the assignment of MGT STs to isolates, along with their storage, retrieval and analysis. The MGTdb web service enables upload of genome data as sequence reads or alleles, which are processed and assigned MGT identifiers. Additionally, any newly sequenced isolates deposited in the National Center for Biotechnology Information’s Sequence Read Archive are also regularly retrieved (currently daily), processed, assigned MGT identifiers and made publicly available in MGTdb. Interactive visualization tools are presented to assist analysis, along with capabilities to download publicly available isolates and assignments for use with external software. MGTdb is currently available for Salmonella enterica serovars Typhimurium and Enteritidis and Vibrio cholerae. We demonstrate the usability of MGTdb through three case studies — to study the long-term national surveillance of S. Typhimurium, the local epidemiology and outbreaks of S. Typhimurium, and the global epidemiology of V. cholerae. Thus, MGTdb enables epidemiological and microbiological investigations at multiple levels of resolution for all publicly available isolates of these pathogens. Database URL: https://mgtdb.unsw.edu.au
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Affiliation(s)
- Sandeep Kaur
- School of Biotechnology and Biomolecular Sciences, University of New South Wales , New South Wales 2052, Australia
- School of Computer Science and Engineering, University of New South Wales , New South Wales 2052, Australia
| | - Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales , New South Wales 2052, Australia
| | - Lijuan Luo
- School of Biotechnology and Biomolecular Sciences, University of New South Wales , New South Wales 2052, Australia
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales , New South Wales 2052, Australia
| | - Mark M Tanaka
- School of Biotechnology and Biomolecular Sciences, University of New South Wales , New South Wales 2052, Australia
| | - Vitali Sintchenko
- Centre for Infectious Diseases and Microbiology—Public Health, Institute of Clinical Pathology and Medical Research—NSW Health Pathology, Westmead Hospital , New South Wales 2145, Australia
- Marie Bashir Institute for Infectious Diseases and Biosecurity, Sydney Medical School, University of Sydney , New South Wales 2006, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales , New South Wales 2052, Australia
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18
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Luo Y, Ye J, Payne M, Hu D, Jiang J, Lan R. Genomic Epidemiology of Vibrio cholerae O139, Zhejiang Province, China, 1994-2018. Emerg Infect Dis 2022; 28:2253-2260. [PMID: 36285907 PMCID: PMC9622232 DOI: 10.3201/eid2811.212066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023] Open
Abstract
Cholera caused by Vibrio cholerae O139 was first reported in Bangladesh and India in 1992. To determine the genomic epidemiology and origins of O139 in China, we sequenced 104 O139 isolates collected from Zhejiang Province, China, during 1994-2018 and compared them with 57 O139 genomes from other countries in Asia. Most Zhejiang isolates fell into 3 clusters (C1-C3), which probably originated in India (C1) and Thailand (C2 and C3) during the early 1990s. Different clusters harbored different antimicrobial resistance genes and IncA/C plasmids. The integrative and conjugative elements carried by Zhejiang isolates were of a new type, differing from ICEVchInd4 and SXTMO10 by single-nucleotide polymorphisms and presence of genes. Quinolone resistance-conferring mutations S85L in parC and S83I in gyrA occurred in 71.2% of the Zhejiang isolates. The ctxB copy number differed among the 3 clusters. Our findings provided new insights for prevention and control of O139 cholera .
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Affiliation(s)
- Yun Luo
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China (Y. Luo, J. Ye, J. Jiang)
- University of New South Wales, Sydney, New South Wales, Australia (Y. Luo, M. Payne, D. Hu, R. Lan)
- Key Laboratory of Vaccine, Hangzhou (J. Jiang)
| | - Julian Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China (Y. Luo, J. Ye, J. Jiang)
- University of New South Wales, Sydney, New South Wales, Australia (Y. Luo, M. Payne, D. Hu, R. Lan)
- Key Laboratory of Vaccine, Hangzhou (J. Jiang)
| | - Michael Payne
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China (Y. Luo, J. Ye, J. Jiang)
- University of New South Wales, Sydney, New South Wales, Australia (Y. Luo, M. Payne, D. Hu, R. Lan)
- Key Laboratory of Vaccine, Hangzhou (J. Jiang)
| | - Dalong Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China (Y. Luo, J. Ye, J. Jiang)
- University of New South Wales, Sydney, New South Wales, Australia (Y. Luo, M. Payne, D. Hu, R. Lan)
- Key Laboratory of Vaccine, Hangzhou (J. Jiang)
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19
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Liang J, Zhu Z, Lan R, Meng J, Vrancken B, Lu S, Jin D, Yang J, Wang J, Qin T, Pu J, Zhang L, Dong K, Xu M, Tian H, Jiang T, Xu J. Evolutionary and genomic insights into the long-term colonization of Shigella flexneri in animals. Emerg Microbes Infect 2022; 11:2069-2079. [PMID: 35930371 PMCID: PMC9448383 DOI: 10.1080/22221751.2022.2109514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The enteroinvasive bacterium Shigella flexneri is known as a highly host-adapted human pathogen. There had been no known other reservoirs reported until recently. Here 34 isolates obtained from animals (yaks, dairy cows and beef cattle) from 2016-2017 and 268 human S. flexneri isolates from China were sequenced to determine the relationships between animal and human isolates and infer the evolutionary history of animal-associated S. flexneri. The 18 animal isolates (15 yak and 3 beef cattle isolates) in PG1 were separated into 4 lineages, and the 16 animal isolates (1 yak, 5 beef cattle and 10 dairy cow isolates) in PG3 were clustered in 8 lineages. The most recent human isolates from China belonged to PG3 whereas Chinese isolates from the 1950s-1960s belonged to PG1. PG1 S. flexneri may has been transmitted to the yaks during PG1 circulation in the human population in China and has remained in the yak population since, while PG3 S. flexneri in animals were likely recent transmissions from the human population. Increased stability of the large virulence plasmid and acquisition of abundant antimicrobial resistance determinants may have enabled PG3 to expand globally and replaced PG1 in China. Our study confirms that animals may act as a reservoir for S. flexneri. Genomic analysis revealed the evolutionary history of multiple S. flexneri lineages in animals and humans in China. However, further studies are required to determine the public health threat of S. flexneri from animals.
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Affiliation(s)
- Junrong Liang
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhen Zhu
- College of Life Science and Food Engineering, Hebei University of Engineering, Handan, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Jing Meng
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
| | - Bram Vrancken
- Department of Microbiology and Immunology, Rega Institute, Laboratory of Evolutionary and Computational Virology, KU Leuven, Leuven, Belgium
| | - Shan Lu
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Dong Jin
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Yang
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China
| | - Jianping Wang
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tian Qin
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ji Pu
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Li Zhang
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
| | - Kui Dong
- Shanxi Eye Hospital, Taiyuan, China
| | - Mingchao Xu
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huaiyu Tian
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
| | - Taijiao Jiang
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China.,Guangzhou Laboratory, Guangzhou, China
| | - Jianguo Xu
- State Key laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, China.,Research Institute of Public Heath, Nankai University, Tianjin, China
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20
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Fu S, Wang Q, Wang R, Zhang Y, Lan R, He F, Yang Q. Horizontal transfer of antibiotic resistance genes within the bacterial communities in aquacultural environment. Sci Total Environ 2022; 820:153286. [PMID: 35074363 DOI: 10.1016/j.scitotenv.2022.153286] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 01/13/2022] [Accepted: 01/16/2022] [Indexed: 06/14/2023]
Abstract
Very little is known about how microbiome interactions shape the horizontal transfer of antibiotic resistance genes in aquacultural environment. To this end, we first conducted 16S rRNA gene amplicon sequencing to monitor the dynamics of bacterial community compositions in one shrimp farm from 2019 to 2020. Next, co-occurrence analysis was then conducted to reveal the interactions network between Vibrio spp. and other species. Subsequently, 21 V. parahaemolyticus isolates and 15 related bacterial species were selected for whole-genome sequencing (WGS). The 16S rDNA amplicon sequencing results identified a remarkable increase of Vibrio and Providencia in September-2019 and a significant rise of Enterobacter and Shewanella in Septtember-2020. Co-occurrence analysis revealed that Vibrio spp. positively interacted with the above species, leading to the sequencing of their isolates to further understand the sharing of the resistant genomic islands (GIs). Subsequent pan-genomic analysis of V. parahaemolyticus genomes identified 278 horizontally transferred genes in 10 GIs, most of which were associated with antibiotic resistance, virulence, and fitness of metabolism. Most of the GIs have also been identified in Providencia, and Enterobacter, suggesting that exchange of genetic traits might occur in V. parahaemolyticus and other cooperative species in a specific niche. No genetic exchange was found between the species with negative relationships. The knowledge generated from this study would greatly improve our capacity to predict and mitigate the emergence of new resistant population and provide practical guidance on the microbial management during the aquacultural activities.
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Affiliation(s)
- Songzhe Fu
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China.
| | - Qingyao Wang
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China; Key Laboratory of Environment Controlled Aquaculture, Dalian Ocean University, Ministry of Education, 116023 Dalian, China
| | - Rui Wang
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China; Key Laboratory of Environment Controlled Aquaculture, Dalian Ocean University, Ministry of Education, 116023 Dalian, China
| | - Yixiang Zhang
- CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Shanghai, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Fenglan He
- The Collaboration Unit for Field Epidemiology of State Key Laboratory for Infectious Disease Prevention and Control, Nanchang Center for Disease Control and Prevention, Nanchang, China
| | - Qian Yang
- Center for Microbial Ecology and Technology (CMET), Ghent University, Coupure Links 653, 9000 Gent, Belgium.
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21
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Campana F, Lan R, Girard C, Rochefort J, Le Pelletier F, Leroux-Villet C, Mares S, Millot S, Zlowodzki AS, Sibaud V, Tessier MH, Vaillant L, Fricain JC, Samimi M. French guidelines for the management of oral lichen planus (excluding pharmacological therapy). Ann Dermatol Venereol 2022; 149:14-27. [PMID: 34238586 DOI: 10.1016/j.annder.2021.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 01/16/2021] [Accepted: 04/01/2021] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Oral lichen is a chronic inflammatory disease for which diagnostic management and follow-up are heterogeneous given the absence of specific guidelines in France. Our objective was to develop French multidisciplinary guidelines for the management of oral lichen. MATERIALS AND METHODS Working groups from the Groupe d'Etude de la Muqueuse Buccale (GEMUB) formulated a list of research questions and the corresponding recommendations according to the "formal consensus" method for developing practice guidelines. These recommendations were submitted to a group of experts and the degree of agreement for each recommendation was assessed by a scoring group. RESULTS Twenty-two research questions, divided into 3 themes (nosological classification and initial assessment, induced oral lichenoid lesions, and follow-up) resulted in 22 recommendations. Initial biopsy for histology is recommended in the absence of reticulated lesions. Biopsy for direct immunofluorescence is recommended for ulcerated, erosive, bullous types and for diffuse erythematous gingivitis. Management should include a periodontal and dental check-up, and investigation for extra-oral lesions. Hepatitis C testing is recommended only if risk factors are present. Definitions, triggering factors and the management of "induced oral lichenoid lesions" were clarified. Oral lichen must be monitored by a practitioner familiar with the disease at least once a year, using objective tools. CONCLUSION This formalised consensus of multidisciplinary experts provides clinical practice guidelines on the management and monitoring of oral lichen.
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Affiliation(s)
- F Campana
- Aix Marseille Univ, APHM, INSERM, MMG, Hôpital de la Timone, Unité de chirurgie orale, 264 Rue Saint-Pierre, 13005 Marseille, France
| | - R Lan
- Aix Marseille Univ, APHM, CNRS, EFS, ADES, Hôpital de la Timone, Unité de chirurgie orale, 264 Rue Saint-Pierre, 13005 Marseille, France
| | - C Girard
- Dermatologie, CHU de Montpellier, 34295 Montpellier cedex, France
| | - J Rochefort
- Odontologie, Hôpital La Pitié Salpetrière - Université Paris Diderot, 47-83 Boulevard de l'Hôpital, 75013 Paris, France
| | - F Le Pelletier
- Anatomie Pathologique, Hôpital La Pitié-Salpêtrière, 47-83 Boulevard de l'Hôpital, 75013 Paris, France
| | - C Leroux-Villet
- Dermatologie, Hôpital Avicenne, 125 Rue de Stalingrad, 93000 Bobigny, France
| | - S Mares
- Chirurgie Maxillo-faciale, Hôpital La Pitié-Salpêtrière, 47-83 Boulevard de l'Hôpital, 75013 Paris, France
| | - S Millot
- Chirurgie Orale, CHU de Montpellier, 34295 Montpellier cedex, France
| | | | - V Sibaud
- Dermatologie, IUCT Oncopôle, 31000 Toulouse, France
| | - M-H Tessier
- Dermatologie, CHU de Nantes, 44000 Nantes, France
| | - L Vaillant
- Dermatologie, CHU de Tours, Université de Tours, 37000 Tours, France
| | - J-C Fricain
- Université de Bordeaux, INSERM U1026, service de chirurgie orale, CHU Bordeaux, 33000 Bordeaux, France
| | - M Samimi
- Dermatologie, CHU de Tours, Université de Tours, 37000 Tours, France.
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22
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Fu S, Yang Q, Sheng Y, Wang Q, Wu J, Qiu Z, Lan R, Wang Y, Liu Y. Metagenomics combined with comprehensive validation as a public health risk assessment tool for urban and agricultural run-off. Water Res 2022; 209:117941. [PMID: 34920315 DOI: 10.1016/j.watres.2021.117941] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 11/13/2021] [Accepted: 12/04/2021] [Indexed: 06/14/2023]
Abstract
Early detection of emerging and life-threatening pathogens circulating in complex environments is urgently required to combat infectious diseases. This study proposed a public health risk assessment workflow with three stages, pathogen screening, pathogen genotyping, and risk assessment. In stage one, pathogens were screened with metagenomic sequencing, microfluidic chip, and qPCR. In stage two, pathogens were isolated and genotyped with multi-locus sequence typing (MLST) or conventional PCR. Finally, virulence genes from metagenomic data were assessed for pathogenicity. Two regions (Donggang and Zhanjiang) with potential public health concerns were selected for evaluation, each of which comprised of one urban and one farming wastewater sampling location. Overall, metagenomic sequencing reflected the variation in the relative abundance of medically important bacteria. Over 90 bacterial pathogens were monitored in the metagenomic dataset, of which 56 species harbored virulence genes. In Donggang, a pathogenic Acinetobacter sp. reached high abundances in 2018 and 2020, whereas all pathogenic Vibrio spp. peaked in October 2019. In Zhanjiang, A. baumanni, and other Enterobacteriaceae species were abundantly present in 2019 and 2020, whereas Aeromonas and Vibrio spp. peaked in November-2017. Forty species were subsequently isolated and subtyped by MLST, half of which were prevalent genotypes in clinical data. Additionally, we identified the African Swine Fever Virus (ASFV) in water samples collected in 2017, ahead of the first reported ASFV outbreak in 2018 in China. RNA viruses like Hepatitis A virus (HAV) and Enterovirus 71 (EV71) were also detected, with concentrations peaking in April 2020 and April 2018, respectively. The dynamics of HAV and EV71 were consistent with local epidemic trends. Finally, based on the virulence gene profiles, our study identified the risk level in wastewater of two cities. This workflow illustrates the potential for an early warning of local epidemics, which helps to prioritize the preparedness for specific pathogens locally.
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Affiliation(s)
- Songzhe Fu
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China; Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education, Dalian 116023, China.
| | - Qian Yang
- Center for Microbial Ecology and Technology (CMET), Ghent University, Coupure Links 653, Gent 9000, Belgium
| | - Yijian Sheng
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China; College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Qingyao Wang
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China; Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education, Dalian 116023, China
| | - Junmin Wu
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China; Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education, Dalian 116023, China
| | - Zhiguang Qiu
- School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Yongjie Wang
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China; College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Ying Liu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 150791, China
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23
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Zhang X, Payne M, Kaur S, Lan R. Improved Genomic Identification, Clustering, and Serotyping of Shiga Toxin-Producing Escherichia coli Using Cluster/Serotype-Specific Gene Markers. Front Cell Infect Microbiol 2022; 11:772574. [PMID: 35083165 PMCID: PMC8785982 DOI: 10.3389/fcimb.2021.772574] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 12/03/2021] [Indexed: 11/16/2022] Open
Abstract
Shiga toxin-producing Escherichia coli (STEC) have more than 470 serotypes. The well-known STEC O157:H7 serotype is a leading cause of STEC infections in humans. However, the incidence of non-O157:H7 STEC serotypes associated with foodborne outbreaks and human infections has increased in recent years. Current detection and serotyping assays are focusing on O157 and top six (“Big six”) non-O157 STEC serogroups. In this study, we performed phylogenetic analysis of nearly 41,000 publicly available STEC genomes representing 460 different STEC serotypes and identified 19 major and 229 minor STEC clusters. STEC cluster-specific gene markers were then identified through comparative genomic analysis. We further identified serotype-specific gene markers for the top 10 most frequent non-O157:H7 STEC serotypes. The cluster or serotype specific gene markers had 99.54% accuracy and more than 97.25% specificity when tested using 38,534 STEC and 14,216 non-STEC E. coli genomes, respectively. In addition, we developed a freely available in silico serotyping pipeline named STECFinder that combined these robust gene markers with established E. coli serotype specific O and H antigen genes and stx genes for accurate identification, cluster determination and serotyping of STEC. STECFinder can assign 99.85% and 99.83% of 38,534 STEC isolates to STEC clusters using assembled genomes and Illumina reads respectively and can simultaneously predict stx subtypes and STEC serotypes. Using shotgun metagenomic sequencing reads of STEC spiked food samples from a published study, we demonstrated that STECFinder can detect the spiked STEC serotypes, accurately. The cluster/serotype-specific gene markers could also be adapted for culture independent typing, facilitating rapid STEC typing. STECFinder is available as an installable package (https://github.com/LanLab/STECFinder) and will be useful for in silico STEC cluster identification and serotyping using genome data.
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Affiliation(s)
- Xiaomei Zhang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Sandeep Kaur
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
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24
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Abstract
Shigella and enteroinvasive Escherichia coli (EIEC) cause human bacillary dysentery with similar invasion mechanisms and share similar physiological, biochemical and genetic characteristics. Differentiation of Shigella from EIEC is important for clinical diagnostic and epidemiological investigations. However, phylogenetically, Shigella and EIEC strains are composed of multiple clusters and are different forms of E. coli, making it difficult to find genetic markers to discriminate between Shigella and EIEC. In this study, we identified 10 Shigella clusters, seven EIEC clusters and 53 sporadic types of EIEC by examining over 17000 publicly available Shigella and EIEC genomes. We compared Shigella and EIEC accessory genomes to identify cluster-specific gene markers for the 17 clusters and 53 sporadic types. The cluster-specific gene markers showed 99.64% accuracy and more than 97.02% specificity. In addition, we developed a freely available in silico serotyping pipeline named Shigella EIEC Cluster Enhanced Serotype Finder (ShigEiFinder) by incorporating the cluster-specific gene markers and established Shigella and EIEC serotype-specific O antigen genes and modification genes into typing. ShigEiFinder can process either paired-end Illumina sequencing reads or assembled genomes and almost perfectly differentiated Shigella from EIEC with 99.70 and 99.74% cluster assignment accuracy for the assembled genomes and read mapping respectively. ShigEiFinder was able to serotype over 59 Shigella serotypes and 22 EIEC serotypes and provided a high specificity of 99.40% for assembled genomes and 99.38% for read mapping for serotyping. The cluster-specific gene markers and our new serotyping tool, ShigEiFinder (installable package: https://github.com/LanLab/ShigEiFinder, online tool: https://mgtdb.unsw.edu.au/ShigEiFinder/), will be useful for epidemiological and diagnostic investigations.
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Affiliation(s)
- Xiaomei Zhang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Thanh Nguyen
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Sandeep Kaur
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
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25
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Luo L, Wang H, Payne MJ, Liang C, Bai L, Zheng H, Zhang Z, Zhang L, Zhang X, Yan G, Zou N, Chen X, Wan Z, Xiong Y, Lan R, Li Q. Comparative genomics of Chinese and international isolates of Escherichia albertii: population structure and evolution of virulence and antimicrobial resistance. Microb Genom 2021; 7. [PMID: 34882085 PMCID: PMC8767325 DOI: 10.1099/mgen.0.000710] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Escherichia albertii is a recently recognized species in the genus Escherichia that causes diarrhoea. The population structure, genetic diversity and genomic features have not been fully examined. Here, 169 E. albertii isolates from different sources and regions in China were sequenced and combined with 312 publicly available genomes (from additional 14 countries) for genomic analyses. The E. albertii population was divided into two clades and eight lineages, with lineage 3 (L3), L5 and L8 more common in China. Clinical isolates were observed in all clades/lineages. Virulence genes were found to be distributed differently among lineages: subtypes of the intimin encoding gene eae and the cytolethal distending toxin gene cdtB were lineage associated, and the second type three secretion system (ETT2) island was truncated in L3 and L6. Seven new eae subtypes and one new cdtB subtype (cdtB-VI) were identified. Alarmingly, 85.9 % of the Chinese E. albertii isolates were predicted to be multidrug-resistant (MDR) with 35.9 % harbouring genes capable of conferring resistance to 10 to 14 different drug classes. The majority of the MDR isolates were of poultry source from China and belonged to four sequence types (STs) [ST4638, ST4479, ST4633 and ST4488]. Thirty-four plasmids with some carrying MDR and virulence genes, and 130 prophages were identified from 17 complete E. albertii genomes. The 130 intact prophages were clustered into five groups, with group five prophages harbouring more virulence genes. We further identified three E. albertii specific genes as markers for the identification of this species. Our findings provided fundamental insights into the population structure, virulence variation and drug resistance of E. albertii.
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Affiliation(s)
- Lijuan Luo
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Hong Wang
- Zigong Center for Disease Control and Prevention, Zigong, Sichuan, PR China
| | - Michael J Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Chelsea Liang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Li Bai
- Division I of Risk Assessment, National Health Commission Key Laboratory of Food Safety Risk Assessment, Food Safety Research Unit (2019RU014) of Chinese Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing, PR China
| | - Han Zheng
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Zhengdong Zhang
- Zigong Center for Disease Control and Prevention, Zigong, Sichuan, PR China
| | - Ling Zhang
- Zigong Center for Disease Control and Prevention, Zigong, Sichuan, PR China
| | - Xiaomei Zhang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Guodong Yan
- Zigong Center for Disease Control and Prevention, Zigong, Sichuan, PR China
| | - Nianli Zou
- Zigong Center for Disease Control and Prevention, Zigong, Sichuan, PR China
| | - Xi Chen
- Zigong Center for Disease Control and Prevention, Zigong, Sichuan, PR China
| | - Ziting Wan
- Zigong Center for Disease Control and Prevention, Zigong, Sichuan, PR China
| | - Yanwen Xiong
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, PR China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Qun Li
- Zigong Center for Disease Control and Prevention, Zigong, Sichuan, PR China
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26
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Liu L, Zhang L, Zhou H, Yuan M, Hu D, Wang Y, Sun H, Xu J, Lan R. Antimicrobial Resistance and Molecular Characterization of Citrobacter spp. Causing Extraintestinal Infections. Front Cell Infect Microbiol 2021; 11:737636. [PMID: 34513738 PMCID: PMC8429604 DOI: 10.3389/fcimb.2021.737636] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 08/03/2021] [Indexed: 12/19/2022] Open
Abstract
Objectives This prospective study was carried out to investigate molecular characteristics and antimicrobial susceptibility patterns of Citrobacter spp. from extraintestinal infections. Methods Forty-six clinical Citrobacter spp. isolates were isolated from hospital patients with extraintestinal infections and analyzed by multilocus sequence typing (MLST) using seven housekeeping genes. Antimicrobial susceptibility testing was performed by disk diffusion method according to the Clinical and Laboratory Standards Institute (CLSI) recommendations. Adhesion and cytotoxicity to HEp-2 cells were assessed. Results The 46 clinical Citrobacter spp. isolates were typed into 38 sequence types (STs), 9 of which belonged to four clonal complexes (CCs). None of the isolates shared the same ST or CCs with isolates from other countries or from other parts of China. Over half of the isolates were multidrug-resistant (MDR), with 17/26 C. freundii, 5/6 C. braakii, and 3/14 C. koseri isolates being MDR. Moreover, four isolates were carbapenem resistant with resistance to imipenem or meropenem. Among eight quinolone resistant C. freundii, all had a mutation in codon 59 (Thr59Ile) in quinolone resistance determining region of the gyrA gene. Only a small proportion of the isolates were found to be highly cytotoxic and adhesive with no correlation to sample sources. Conclusions There was a diverse range of Citrobacter isolates causing extraintestinal infections and a high prevalence of MDR.
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Affiliation(s)
- Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Ling Zhang
- Microbiology Department, Maanshan Center for Clinical Laboratory, Ma'anshan, China
| | - Haijian Zhou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Min Yuan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Dalong Hu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Yonglu Wang
- Microbiology Department, Maanshan Center for Disease Control and Prevention, Ma'anshan, China
| | - Hui Sun
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
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Luo Y, Wang H, Liang J, Qian H, Ye J, Chen L, Yang X, Chen Z, Wang F, Octavia S, Payne M, Song X, Jiang J, Jin D, Lan R. Population Structure and Multidrug Resistance of Non-O1/Non-O139 Vibrio cholerae in Freshwater Rivers in Zhejiang, China. Microb Ecol 2021; 82:319-333. [PMID: 33410933 DOI: 10.1007/s00248-020-01645-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 11/15/2020] [Indexed: 06/12/2023]
Abstract
To understand the environmental reservoirs of Vibrio cholerae and their public health significance, we surveyed freshwater samples from rivers in two cities (Jiaxing [JX] and Jiande [JD]) in Zhejiang, China. A total of 26 sampling locations were selected, and river water was sampled 456 times from 2015 to 2016 yielding 200 V. cholerae isolates, all of which were non-O1/non-O139. The average isolation rate was 47.3% and 39.1% in JX and JD, respectively. Antibiotic resistance profiles of the V. cholerae isolates were examined with nonsusceptibility to cefazolin (68.70%, 79/115) being most common, followed by ampicillin (47.83%, 55/115) and imipenem (27.83%, 32/115). Forty-two isolates (36.52%, 42/115) were defined as multidrug resistant (MDR). The presence of virulence genes was also determined, and the majority of the isolates were positive for toxR (198/200, 99%) and hlyA (196/200, 98%) with few other virulence genes observed. The population structure of the V. cholerae non-O1/non-O139 sampled was examined using multilocus sequence typing (MLST) with 200 isolates assigned to 128 STs and 6 subpopulations. The non-O1/non-O139 V. cholerae population in JX was more varied than in JD. By clonal complexes (CCs), 31 CCs that contained isolates from this study were shared with other parts of China and/or other countries, suggesting widespread presence of some non-O1/non-O139 clones. Drug resistance profiles differed between subpopulations. The findings suggest that non-O1/non-O139 V. cholerae in the freshwater environment is a potential source of human infections. Routine surveillance of non-O1/non-O139 V. cholerae in freshwater rivers will be of importance to public health.
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Affiliation(s)
- Yun Luo
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310052, Zhejiang, China
| | - Henghui Wang
- Jiaxing Center for Disease Control and Prevention, Jiaxing, 314050, Zhejiang, China
| | - Jie Liang
- Jiande Center for Disease Control and Prevention, Hangzhou, 311600, Zhejiang, China
| | - Huiqin Qian
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310052, Zhejiang, China
| | - Julian Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310052, Zhejiang, China
| | - Lixia Chen
- Jiaxing Center for Disease Control and Prevention, Jiaxing, 314050, Zhejiang, China
| | - Xianqing Yang
- Jiande Center for Disease Control and Prevention, Hangzhou, 311600, Zhejiang, China
| | - Zhongwen Chen
- Jiaxing Center for Disease Control and Prevention, Jiaxing, 314050, Zhejiang, China
| | - Fei Wang
- Jiande Center for Disease Control and Prevention, Hangzhou, 311600, Zhejiang, China
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Xiaojun Song
- Centre of Laboratory Medicine, Zhejiang Provincial People Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
| | - Jianmin Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310052, Zhejiang, China
| | - Dazhi Jin
- Centre of Laboratory Medicine, Zhejiang Provincial People Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- School of Laboratory Medicine, Hangzhou Medical College, Hangzhou, 310058, Zhejiang, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
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28
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Luo L, Payne M, Kaur S, Hu D, Cheney L, Octavia S, Wang Q, Tanaka MM, Sintchenko V, Lan R. Elucidation of global and national genomic epidemiology of Salmonella enterica serovar Enteritidis through multilevel genome typing. Microb Genom 2021; 7. [PMID: 34292145 PMCID: PMC8477392 DOI: 10.1099/mgen.0.000605] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Salmonella enterica serovar Enteritidis is a major cause of foodborne Salmonella infections and outbreaks in humans. Effective surveillance and timely outbreak detection are essential for public health control. Multilevel genome typing (MGT) with multiple levels of resolution has been previously demonstrated as a promising tool for this purpose. In this study, we developed MGT with nine levels for S. Enteritidis and characterised the genomic epidemiology of S. Enteritidis in detail. We examined 26 670 publicly available S. Enteritidis genome sequences from isolates spanning 101 years from 86 countries to reveal their spatial and temporal distributions. Using the lower resolution MGT levels, globally prevalent and regionally restricted sequence types (STs) were identified; avian associated MGT4-STs were found that were common in human cases in the USA; temporal trends were observed in the UK with MGT5-STs from 2014 to 2018 revealing both long lived endemic STs and the rapid expansion of new STs. Using MGT3 to MGT6, we identified multidrug resistance (MDR) associated STs at various MGT levels, which improves precision of detection and global tracking of MDR clones. We also found that the majority of the global S. Enteritidis population fell within two predominant lineages, which had significantly different propensity of causing large scale outbreaks. An online open MGT database has been established for unified international surveillance of S. Enteritidis. We demonstrated that MGT provides a flexible and high-resolution genome typing tool for S. Enteritidis surveillance and outbreak detection.
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Affiliation(s)
- Lijuan Luo
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Sandeep Kaur
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Dalong Hu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Liam Cheney
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Qinning Wang
- Centre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research - NSW Health Pathology, Westmead Hospital, New South Wales, Australia
| | - Mark M Tanaka
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Vitali Sintchenko
- Centre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research - NSW Health Pathology, Westmead Hospital, New South Wales, Australia.,Marie Bashir Institute for Infectious Diseases and Biosecurity, Sydney Medical School, University of Sydney, New South Wales, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
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Safarchi A, Saedi S, Octavia S, Sedaghatpour M, Bolourchi N, Tay CY, Lamichhane B, Shahcheraghi F, Lan R. Evolutionary genomics of recent clinical Bordetella pertussis isolates from Iran: wide circulation of multiple ptxP3 lineages and report of the first ptxP3 filamentous hemagglutinin-negative B. pertussis. Infect Genet Evol 2021; 93:104970. [PMID: 34171476 DOI: 10.1016/j.meegid.2021.104970] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 06/10/2021] [Accepted: 06/14/2021] [Indexed: 11/30/2022]
Abstract
Here we investigated nationwide clinical Bordetella pertussis isolated during 2005-2017 from different provinces of Iran, a country with more than 50 years whole cell vaccine immunisation history. Our results revealed the ongoing increase in the population of ptxP3/fim3-2 B. pertussis isolates in different provinces which were differentiated into nine clades. The largest clade (clade 8) which was previously found to be prevalent in Tehran was also prevalent across the country and clade 5 with ptxP3/prn9 genotype has also increased in frequency (14% of all ptxP3 isolates) in recent years. Furthermore, we detected the first ptxP3 B. pertussis isolates that does not express filamentous hemagglutinin (FhaB) as one of the major antigens of the pathogen and a key component of the acellular pertussis vaccine.
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Affiliation(s)
- Azadeh Safarchi
- Pertussis Reference Laboratory, Department of Bacteriology, Pasteur Institute of Iran, Tehran 1316943551, Islamic Republic of Iran; School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Samaneh Saedi
- Pertussis Reference Laboratory, Department of Bacteriology, Pasteur Institute of Iran, Tehran 1316943551, Islamic Republic of Iran
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia.
| | - Mehdi Sedaghatpour
- Pertussis Reference Laboratory, Department of Bacteriology, Pasteur Institute of Iran, Tehran 1316943551, Islamic Republic of Iran
| | - Negin Bolourchi
- Pertussis Reference Laboratory, Department of Bacteriology, Pasteur Institute of Iran, Tehran 1316943551, Islamic Republic of Iran
| | - Chin Yen Tay
- Pathology and Laboratory Medicine, University of Western Australia, Perth, Western Australia 6009, Australia.
| | - Binit Lamichhane
- Pathology and Laboratory Medicine, University of Western Australia, Perth, Western Australia 6009, Australia.
| | - Fereshteh Shahcheraghi
- Pertussis Reference Laboratory, Department of Bacteriology, Pasteur Institute of Iran, Tehran 1316943551, Islamic Republic of Iran.
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia.
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30
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Payne M, Octavia S, Luu LDW, Sotomayor-Castillo C, Wang Q, Tay ACY, Sintchenko V, Tanaka MM, Lan R. Enhancing genomics-based outbreak detection of endemic Salmonella enterica serovar Typhimurium using dynamic thresholds. Microb Genom 2021; 7:000310. [PMID: 31682222 PMCID: PMC8627665 DOI: 10.1099/mgen.0.000310] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 10/09/2019] [Indexed: 11/18/2022] Open
Abstract
Salmonella enterica serovar Typhimurium is the leading cause of salmonellosis in Australia, and the ability to identify outbreaks and their sources is vital to public health. Here, we examined the utility of whole-genome sequencing (WGS), including complete genome sequencing with Oxford Nanopore technologies, in examining 105 isolates from an endemic multi-locus variable number tandem repeat analysis (MLVA) type over 5 years. The MLVA type was very homogeneous, with 90 % of the isolates falling into groups with a five SNP cut-off. We developed a new two-step approach for outbreak detection using WGS. The first clustering at a zero single nucleotide polymorphism (SNP) cut-off was used to detect outbreak clusters that each occurred within a 4 week window and then a second clustering with dynamically increased SNP cut-offs were used to generate outbreak investigation clusters capable of identifying all outbreak cases. This approach offered optimal specificity and sensitivity for outbreak detection and investigation, in particular of those caused by endemic MLVA types or clones with low genetic diversity. We further showed that inclusion of complete genome sequences detected no additional mutational events for genomic outbreak surveillance. Phylogenetic analysis found that the MLVA type was likely to have been derived recently from a single source that persisted over 5 years, and seeded numerous sporadic infections and outbreaks. Our findings suggest that SNP cut-offs for outbreak cluster detection and public-health surveillance should be based on the local diversity of the relevant strains over time. These findings have general applicability to outbreak detection of bacterial pathogens.
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Affiliation(s)
- Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Laurence Don Wai Luu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Cristina Sotomayor-Castillo
- Centre for Infectious Diseases and Microbiology – Public Health, Institute of Clinical Pathology and Medical Research, Westmead Hospital, New South Wales, Australia
- Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Westmead NSW, New South Wales, Australia
| | - Qinning Wang
- Centre for Infectious Diseases and Microbiology – Public Health, Institute of Clinical Pathology and Medical Research, Westmead Hospital, New South Wales, Australia
| | - Alfred Chin Yen Tay
- Pathology and Laboratory Medicine, University of Western Australia, Perth, Western Australia, Australia
| | - Vitali Sintchenko
- Centre for Infectious Diseases and Microbiology – Public Health, Institute of Clinical Pathology and Medical Research, Westmead Hospital, New South Wales, Australia
- Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Westmead NSW, New South Wales, Australia
| | - Mark M. Tanaka
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
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31
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Luu LDW, Zhong L, Kaur S, Raftery MJ, Lan R. Comparative Phosphoproteomics of Classical Bordetellae Elucidates the Potential Role of Serine, Threonine and Tyrosine Phosphorylation in Bordetella Biology and Virulence. Front Cell Infect Microbiol 2021; 11:660280. [PMID: 33928046 PMCID: PMC8076611 DOI: 10.3389/fcimb.2021.660280] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 03/17/2021] [Indexed: 11/13/2022] Open
Abstract
The Bordetella genus is divided into two groups: classical and non-classical. Bordetella pertussis, Bordetella bronchiseptica and Bordetella parapertussis are known as classical bordetellae, a group of important human pathogens causing whooping cough or whooping cough-like disease and hypothesized to have evolved from environmental non-classical bordetellae. Bordetella infections have increased globally driving the need to better understand these pathogens for the development of new treatments and vaccines. One unexplored component in Bordetella is the role of serine, threonine and tyrosine phosphorylation. Therefore, this study characterized the phosphoproteome of classical bordetellae and examined its potential role in Bordetella biology and virulence. Applying strict identification of localization criteria, this study identified 70 unique phosphorylated proteins in the classical bordetellae group with a high degree of conservation. Phosphorylation was a key regulator of Bordetella metabolism with proteins involved in gluconeogenesis, TCA cycle, amino acid and nucleotide synthesis significantly enriched. Three key virulence pathways were also phosphorylated including type III secretion system, alcaligin synthesis and the BvgAS master transcriptional regulatory system for virulence genes in Bordetella. Seven new phosphosites were identified in BvgA with 6 located in the DNA binding domain. Of the 7, 4 were not present in non-classical bordetellae. This suggests that serine/threonine phosphorylation may play an important role in stabilizing/destabilizing BvgA binding to DNA for fine-tuning of virulence gene expression and that BvgA phosphorylation may be an important factor separating classical from non-classical bordetellae. This study provides the first insight into the phosphoproteome of classical Bordetella species and the role that Ser/Thr/Tyr phosphorylation may play in Bordetella biology and virulence.
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Affiliation(s)
- Laurence Don Wai Luu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Ling Zhong
- Bioanalytical Mass Spectrometry Facility, University of New South Wales, Sydney, NSW, Australia
| | - Sandeep Kaur
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Mark J Raftery
- Bioanalytical Mass Spectrometry Facility, University of New South Wales, Sydney, NSW, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
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32
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Yu K, Huang Z, Li Y, Fu Q, Lin L, Wu S, Dai H, Cai H, Xiao Y, Lan R, Wang D. Establishment and Application of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry for Detection of Shewanella Genus. Front Microbiol 2021; 12:625821. [PMID: 33679644 PMCID: PMC7930330 DOI: 10.3389/fmicb.2021.625821] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/04/2021] [Indexed: 01/28/2023] Open
Abstract
Shewanella species are widely distributed in the aquatic environment and aquatic organisms. They are opportunistic human pathogens with increasing clinical infections reported in recent years. However, there is a lack of a rapid and accurate method to identify Shewanella species. We evaluated here matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for rapid identification of Shewanella. A peptide mass reference spectra (PMRS) database was constructed for the type strains of 36 Shewanella species. The main spectrum projection (MSP) cluster dendrogram showed that the type strains of Shewanella species can be effectively distinguished according to the different MS fingerprinting. The PMRS database was validated using 125 Shewanella test strains isolated from various sources and periods; 92.8% (n = 116) of the strains were correctly identified at the species level, compared with the results of multilocus sequence analysis (MLSA), which was previously shown to be a method for identifying Shewanella at the species level. The misidentified strains (n = 9) by MALDI-TOF MS involved five species of two groups, i.e., Shewanella algae–Shewanella chilikensis–Shewanella indica and Shewanella seohaensis–Shewanella xiamenensis. We then identified and defined species-specific biomarker peaks of the 36 species using the type strains and validated these selected biomarkers using 125 test strains. Our study demonstrated that MALDI-TOF MS was a reliable and powerful tool for the rapid identification of Shewanella strains at the species level.
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Affiliation(s)
- Keyi Yu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China.,Center for Human Pathogenic Culture Collection, China CDC, Beijing, China
| | - Zhenzhou Huang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China.,Center for Human Pathogenic Culture Collection, China CDC, Beijing, China
| | - Ying Li
- Workstation for Microbial Infectious Disease, Shunyi District Center for Disease Control and Prevention, Beijing, China
| | | | | | | | - Hang Dai
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China.,Center for Human Pathogenic Culture Collection, China CDC, Beijing, China
| | - Hongyan Cai
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China.,Center for Human Pathogenic Culture Collection, China CDC, Beijing, China
| | - Yue Xiao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China.,Center for Human Pathogenic Culture Collection, China CDC, Beijing, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Duochun Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China.,Center for Human Pathogenic Culture Collection, China CDC, Beijing, China
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33
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Luu LDW, Payne M, Zhang X, Luo L, Lan R. Development and comparison of novel multiple cross displacement amplification (MCDA) assays with other nucleic acid amplification methods for SARS-CoV-2 detection. Sci Rep 2021; 11:1873. [PMID: 33479389 PMCID: PMC7819982 DOI: 10.1038/s41598-021-81518-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 01/05/2021] [Indexed: 01/01/2023] Open
Abstract
The development of alternative isothermal amplification assays including multiple cross displacement amplification (MCDA) may address speed and portability limitations of real-time PCR (rt-PCR) methods for SARS-CoV-2 detection. We developed a novel SARS-CoV-2 MCDA assay and compared its speed and sensitivity to loop-mediated isothermal amplification (LAMP) and rt-PCR. Two MCDA assays targeting SARS-CoV-2 N gene and ORF1ab were designed. The fastest time to detection and sensitivity of MCDA was compared to LAMP and rt-PCR using DNA standards and transcribed RNA. For the N gene, MCDA was faster than LAMP and rt-PCR by 10 and 20 min, respectively with fastest time to detection at 5.2 min. rt-PCR had the highest sensitivity with the limit of detection at 10 copies/µl compared with MCDA (100 copies/µl) and LAMP (500 copies/µl). For ORF1ab, MCDA and LAMP had similar speed with fastest time to detection at 9.7 and 8.4 min, respectively. LAMP was more sensitive for ORF1ab detection with 50 copies/µl compared to MCDA (500 copies/µl). In conclusion, different nucleic acid amplification methods provide different advantages. MCDA is the fastest nucleic acid amplification method for SARS-CoV-2 while rt-PCR is the most sensitive. These advantages should be considered when determining the most suitable nucleic acid amplification methods for different applications.
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Affiliation(s)
- Laurence Don Wai Luu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Xiaomei Zhang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Lijuan Luo
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia.
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Fu S, Yang Q, Wang Q, Pang B, Lan R, Wei D, Qu B, Liu Y. Continuous Genomic Surveillance Monitored the In Vivo Evolutionary Trajectories of Vibrio parahaemolyticus and Identified a New Virulent Genotype. mSystems 2021; 6:e01254-20. [PMID: 33468708 PMCID: PMC7820670 DOI: 10.1128/msystems.01254-20] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 12/28/2020] [Indexed: 01/22/2023] Open
Abstract
Our ability to predict evolutionary trajectories of pathogens is one of the promising leverages to fight against the pandemic disease, yet few studies have addressed this question in situ, due to the difficulty in monitoring the milestone evolutionary events for a given pathogen and in understanding the evolutionary strategies. In this study, we monitored the real-time evolution of Vibrio parahaemolyticus in response to successive antibiotic treatment in three shrimp farms in North China from 2011 to 2018 by whole-genome sequencing. Results showed that the stepwise emergence of resistance was associated with the antibiotic usage. Genomic analysis of resistant isolates showed that the acquisition of the resistant mobile genetic elements flanked by an insertion sequence (ISVal1) closely mirrored the antibiotics used in shrimp farms since 2014. Next, we also identified 50 insertion sites of ISVal1 in the chromosome, which facilitated the formation of pathogenicity islands (PAIs) and fitness islands in the following years. Further, horizontal transfers of a virulent trh-nik-ure genomic island (GI) and two GIs improving the fitness have been observed in two farms since 2016. In this case study, we proposed that the insertion sequence triggered four major evolutionary events during the outbreaks of shrimp disease in three farms, including horizontal transfer of transposon (HTT) (stage 1), the formation of resistance islands (stage 2) and the PAIs (stage 3), and horizontal transfer of the PAIs (stage 4). This study presented the first in vivo evolutionary trajectories for a given bacterial pathogen, which helps us to understand the emergence mechanisms of new genotypes.IMPORTANCE Most human infectious diseases originate from animals. Thus, how to reduce or prevent pandemic zoonoses before they emerge in people is becoming a critical issue. Continuous genomic surveillance of the evolutionary trajectories of potential human pathogens on farms is a promising strategy to realize early warning. Here, we conducted an 8-year surveillance of Vibrio parahaemolyticus in three shrimp farms. The results showed that the use of antibiotics and horizontal transfer of transposons (HTT) drove the evolution of V. parahaemolyticus, which could be divided into four stages: HTT, formation of resistance islands, formation of pathogenicity islands (PAIs), and horizontal transfer of PAIs. This study presented the first in vivo monitoring of evolutionary trajectories for a given bacterial pathogen, providing valuable information for the prevention of pandemic zoonoses.
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Affiliation(s)
- Songzhe Fu
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China
- Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education, Dalian, China
| | - Qian Yang
- Center for Microbial Ecology and Technology (CMET), Ghent University, Ghent, Belgium
| | - Qingyao Wang
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China
- Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education, Dalian, China
| | - Bo Pang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Dawei Wei
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Baocheng Qu
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China
- Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education, Dalian, China
| | - Ying Liu
- College of Marine Science and Environment, Dalian Ocean University, Dalian, China
- Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education, Dalian, China
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35
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Hammoutene S, Nihous H, Foletti JM, Collet C, Lan R. Ossifying fasciitis of the chin: A case report. J Stomatol Oral Maxillofac Surg 2021; 122:524-526. [PMID: 33429067 DOI: 10.1016/j.jormas.2021.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 01/04/2021] [Indexed: 10/22/2022]
Affiliation(s)
- S Hammoutene
- Aix Marseille Univ, APHM, Timone Hospital, Odontology Department, Functional Unit of Oral Surgery, Marseille, France.
| | - H Nihous
- Aix Marseille Univ, APHM, INSERMS, MMG, Timone Hospital, Pathology Department, Marseille, France
| | - J M Foletti
- Aix Marseille Univ, APHM, LBA, Conception Hospital, Maxillo-Facial Surgery Department, Marseille, France
| | - C Collet
- Sainte Musse Hospital, Maxillo-Facial Department, Toulon, France
| | - R Lan
- Aix Marseille Univ, APHM, Timone Hospital, Odontology Department, Functional Unit of Oral Surgery, Marseille, France
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Fu S, Yang Q, He F, Lan R, Hao J, Ni P, Liu Y, Li R. National Safety Survey of Animal-use Commercial Probiotics and Their Spillover Effects From Farm to Humans: An Emerging Threat to Public Health. Clin Infect Dis 2021; 70:2386-2395. [PMID: 31300822 DOI: 10.1093/cid/ciz642] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 07/10/2019] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Human-use probiotics have recently been associated with clinical infections and antibiotic resistance transfer, raising public concern over their safety. However, despite their extensive application in aquaculture and animal husbandry, the safety of animal-use probiotics remains poorly described. METHODS We evaluated the safety of 92 animal-use probiotics from China. The pattern of spread of pathogens from probiotics and the consequent public health implications were also examined by conducting in-field genomic surveillance at 2 farms. RESULTS A total of 123 probiotic Bacillus species isolates were obtained from 92 brands of probiotics, of which 45 isolates were resistant to antibiotics. Notably, 33.7% of probiotic products were contaminated with life-threatening pathogens such as Klebsiella pneumoniae. Genomic surveillance at a chicken farm identified an anthrax toxin-positive Bacillus cereus strain in a probiotic product used as a feed supplement, which was transferred into the groundwater and to a nearby fish farm. Following up retrospective analysis of the surveillance data during 2015-2018 in 3 provinces retrieved 2 B. cereus strains from human with intestinal anthrax symptoms and confirmed the transmission of B. cereus from farm to human. Surveillance of anthrax toxin revealed that cya was detected in 8 of 31 farms. CONCLUSIONS This study provides the first national safety survey of animal-use probiotics in China and confirms the spillover effects of probiotics from the farms to human. These results suggest that the large-scale application of pathogen-containing probiotics leads to the transfer of pathogens, with worrisome implications for public health. Good Manufacturing Practice should be implemented during the production of all probiotics.Animal-use probiotic products are frequently contaminated with viable pathogenic bacteria. This study revealed that virulent probiotic organisms and contaminating pathogens were colonized with farm animals and shed into the environment, which facilitated the transfer of pathogens to humans.
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Affiliation(s)
- Songzhe Fu
- College of Marine Technology and Environment, Dalian Ocean University, China
| | - Qian Yang
- Department of Animal Production, Ghent University, Belgium
| | - Fenglan He
- Nanchang Center for Disease Control and Prevention, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Jingwei Hao
- College of Fishery and Life Sciences, Dalian Ocean University, China
| | - Ping Ni
- College of Fishery and Life Sciences, Dalian Ocean University, China
| | - Ying Liu
- College of Marine Technology and Environment, Dalian Ocean University, China
| | - Ruijun Li
- College of Fishery and Life Sciences, Dalian Ocean University, China
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Payne M, Kaur S, Wang Q, Hennessy D, Luo L, Octavia S, Tanaka MM, Sintchenko V, Lan R. Multilevel genome typing: genomics-guided scalable resolution typing of microbial pathogens. ACTA ACUST UNITED AC 2020; 25. [PMID: 32458794 PMCID: PMC7262494 DOI: 10.2807/1560-7917.es.2020.25.20.1900519] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Background Both long- and short-term epidemiology are fundamental to disease control and require accurate bacterial typing. Genomic data resulting from implementation of whole genome sequencing in many public health laboratories can potentially provide highly sensitive and accurate descriptions of strain relatedness. Previous typing efforts using these data have mainly focussed on outbreak detection. Aim We aimed to develop multilevel genome typing (MGT), using consecutive multilocus sequence typing (MLST) schemes of increasing sizes, stepping up from seven-gene MLST to core genome MLST, to allow examination of genetic relatedness at multiple resolution levels. Methods The system was applied to Salmonellaenterica serovar Typhimurium. The MLST scheme used at each step (MGT level), defined a given MGT-level specific sequence type (ST). The list of STs generated from all of these increasing MGT levels, was named a genome type (GT). Using MGT, we typed 9,096 previously characterised isolates with publicly available data. Results Our approach could identify previously described S. Typhimurium populations, such as the DT104 multidrug resistance lineage (GT 19-2-11) and two invasive lineages of African isolates (GT 313-2-3 and 313-2-752). Further, we showed that MGT-derived clusters can accurately distinguish five outbreaks from each other and five background isolates. Conclusion MGT provides a universal and stable nomenclature at multiple resolutions for S. Typhimurium strains and could be implemented as an internationally standardised strain identification system. While established so far only for S. Typhimurium, the results here suggest that MGT could form the basis for typing systems in other similar microorganisms.
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Affiliation(s)
- Michael Payne
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Sandeep Kaur
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Qinning Wang
- Centre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research - NSW Health Pathology, Westmead Hospital, Westmead, Australia
| | - Daneeta Hennessy
- Centre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research - NSW Health Pathology, Westmead Hospital, Westmead, Australia
| | - Lijuan Luo
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Mark M Tanaka
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Vitali Sintchenko
- Marie Bashir Institute for Infectious Diseases and Biosecurity, Sydney Medical School, University of Sydney, Westmead, Australia.,Centre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research - NSW Health Pathology, Westmead Hospital, Westmead, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
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Zhu W, Yang J, Lu S, Lan R, Jin D, Luo XL, Pu J, Wu S, Xu J. Beta- and Novel Delta-Coronaviruses Are Identified from Wild Animals in the Qinghai-Tibetan Plateau, China. Virol Sin 2020; 36:402-411. [PMID: 33259031 PMCID: PMC7706178 DOI: 10.1007/s12250-020-00325-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 09/27/2020] [Indexed: 12/02/2022] Open
Abstract
Outbreaks of severe virus infections with the potential to cause global pandemics are increasingly concerning. One type of those commonly emerging and re-emerging pathogens are coronaviruses (SARS-CoV, MERS-CoV and SARS-CoV-2). Wild animals are hosts of different coronaviruses with the potential risk of cross-species transmission. However, little is known about the reservoir and host of coronaviruses in wild animals in Qinghai Province, where has the greatest biodiversity among the world’s high-altitude regions. Here, from the next-generation sequencing data, we obtained a known beta-coronavirus (beta-CoV) genome and a novel delta-coronavirus (delta-CoV) genome from faecal samples of 29 marmots, 50 rats and 25 birds in Yushu Tibetan Autonomous Prefecture, Qinghai Province, China in July 2019. According to the phylogenetic analysis, the beta-CoV shared high nucleotide identity with Coronavirus HKU24. Although the novel delta-CoV (MtCoV) was closely related to Sparrow deltacoronavirus ISU42824, the protein spike of the novel delta-CoV showed highest amino acid identity to Sparrow coronavirus HKU17 (73.1%). Interestingly, our results identified a novel host (Montifringilla taczanowskii) for the novel delta-CoV and the potential cross-species transmission. The most recent common ancestor (tMRCA) of MtCoVs along with other closest members of the species of Coronavirus HKU15 was estimated to be 289 years ago. Thus, this study increases our understanding of the genetic diversity of beta-CoVs and delta-CoVs, and also provides a new perspective of the coronavirus hosts.
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Affiliation(s)
- Wentao Zhu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.,Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.,Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Dong Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.,Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Xue-Lian Luo
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Ji Pu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Shusheng Wu
- Yushu Prefecture Center for Disease Control and Prevention, Yushu, 815000, China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. .,Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China. .,Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing, 100730, China. .,Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, China.
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Wang X, Zhou H, Du P, Lan R, Chen D, Dong A, Lin X, Qiu X, Xu S, Ji X, Li M, Hou X, Sun L, Li D, Han L, Li Z. Genomic epidemiology of Corynebacterium striatum from three regions of China: an emerging national nosocomial epidemic. J Hosp Infect 2020; 110:67-75. [PMID: 33166588 DOI: 10.1016/j.jhin.2020.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 09/27/2020] [Accepted: 10/03/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Corynebacteritum straitum has been considered as an emerging multi-drug-resistant (MDR) pathogen. Isolation of MDR C. striatum as the only organism from respiratory samples from hospitalized patients is increasing in China. AIM To elucidate the genomic epidemiology and evolution of C. striatum in China. METHODS A total of 260 isolates from 2016 to 2018 were collected from three hospitals in three regions of China. Antibiotic sensitivity testing was performed on all isolates. Whole-genome sequencing was applied to all isolates to assess their genomic diversity and relationships and detect the presence of antimicrobial resistance genes (ARG) and ARG cassettes. FINDINGS Almost all isolates (96.2%, 250/260) showed multi-drug-resistance. Genome sequencing revealed four major lineages with lineage IV emerging as the epidemic lineage. Most of the diversity was developed in the last 6 years. Each hospital has its own predominant clones with potential spread between Hebei and Guangdong hospitals. Genomic analysis further revealed multiple antimicrobial resistance genes. CONCLUSIONS Our results suggested that four lineages of C. striatum have spread in parallel across China, causing persistent and extensive transmissions within hospitals. MDR C. striatum infection has become a national epidemic. Antibiotic-driven selection pressure may have played significant roles in forming persistent and predominant clones. Our data provide the basis for surveillance and prevention strategies to control the epidemic caused by MDR C. striatum.
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Affiliation(s)
- X Wang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - H Zhou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - P Du
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - R Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - D Chen
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China
| | - A Dong
- University of Science and Technology Affiliated Hospital, Tangshan, 063000, China
| | - X Lin
- Guangzhou Panyu Central Hospital, Guangzhou, 510000, China
| | - X Qiu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - S Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - X Ji
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - M Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - X Hou
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - L Sun
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - D Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China
| | - L Han
- Department of Medicine, Tibet University, Lhasa, 850000, China
| | - Z Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, 102206, China.
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40
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Liu L, Song L, Deng R, Lan R, Jin W, Tran Van Nhieu G, Cao H, Liu Q, Xiao Y, Li X, Meng G, Ren Z. Citrobacter freundii Activation of NLRP3 Inflammasome via the Type VI Secretion System. J Infect Dis 2020; 223:2174-2185. [PMID: 33151309 DOI: 10.1093/infdis/jiaa692] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 11/03/2020] [Indexed: 12/27/2022] Open
Abstract
Citrobacter freundii is a significant cause of human infections, responsible for food poisoning, diarrhea, and urinary tract infections. We previously identified a highly cytotoxic and adhesive C. freundii strain CF74 expressing a type VI secretion system (T6SS). In this study, we showed that in mice-derived macrophages, C. freundii CF74 activated the Nucleotide Oligomerization Domain -Like Receptor Family, Pyrin Domain Containing 3(NLRP3) inflammasomes in a T6SS-dependent manner. The C. freundii T6SS activated the inflammasomes mainly through caspase 1 and mediated pyroptosis of macrophages by releasing the cleaved gasdermin-N domain. The CF74 T6SS was required for flagellin-induced interleukin 1β release by macrophages. We further show that the T6SS tail component and effector, hemolysin co-regulation protein-2 (Hcp-2), was necessary and sufficient to trigger NLRP3 inflammasome activation. In vivo, the T6SS played a key role in mediating interleukin 1β secretion and the survival of mice during C. freundii infection in mice. These findings provide novel insights into the role of T6SS in the pathogenesis of C. freundii.
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Affiliation(s)
- Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Liqiong Song
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Rong Deng
- The Center for Microbes, Development and Health, CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Shanghai, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Wenjie Jin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Guy Tran Van Nhieu
- Calcium Signaling and Microbial Infections, Inserm U1282, Laboratoire de Biologie et Pharmacologie Appliquée, UMR 8113, Ecole Normale Supérieure Paris Saclay, Gif-sur-Yvette, France
| | - Huifang Cao
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China
| | - Qin Liu
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China
| | - Yuchun Xiao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Xianping Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
| | - Guangxun Meng
- The Center for Microbes, Development and Health, CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Shanghai, China
| | - Zhihong Ren
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Research Units of Discovery of Unknown Bacteria and Function (2018RU010), Chinese Academy of Medical Sciences, Beijing, China
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41
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Liu F, Chen S, Luu LDW, Lee SA, Tay ACY, Wu R, Riordan SM, Lan R, Liu L, Zhang L. Analysis of complete Campylobacter concisus genomes identifies genomospecies features, secretion systems and novel plasmids and their association with severe ulcerative colitis. Microb Genom 2020; 6:mgen000457. [PMID: 33111662 PMCID: PMC7725323 DOI: 10.1099/mgen.0.000457] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 10/01/2020] [Indexed: 12/12/2022] Open
Abstract
Campylobacter concisus is an emerging enteric pathogen that is associated with several gastrointestinal diseases, such as inflammatory bowel disease (IBD), which includes Crohn's disease (CD) and ulcerative colitis (UC). Currently, only three complete C. concisus genomes are available and more complete C. concisus genomes are needed in order to better understand the genomic features and pathogenicity of this emerging pathogen. DNA extracted from 22 C. concisus strains were subjected to Oxford Nanopore genome sequencing. Complete genome assembly was performed using Nanopore genome data in combination with previously reported short-read Illumina data. Genome features of complete C. concisus genomes were analysed using bioinformatic tools. The enteric disease associations of C. concisus plasmids were examined using 239 C. concisus strains and confirmed using PCRs. Proteomic analysis was used to examine T6SS secreted proteins. We successfully obtained 13 complete C. concisus genomes in this study. Analysis of 16 complete C. concisus genomes (3 from public databases) identified multiple novel plasmids. pSma1 plasmid was found to be associated with severe UC. Sec-SRP, Tat and T6SS were found to be the main secretion systems in C. concisus and proteomic data showed a functional T6SS despite the lack of ClpV. T4SS was found in 25% of complete C. concisus genomes. This study also found that GS2 strains had larger genomes and higher GC content than GS1 strains and more often had plasmids. In conclusion, this study provides fundamental genomic data for understanding C. concisus plasmids, genomospecies features, evolution, secretion systems and pathogenicity.
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Affiliation(s)
- Fang Liu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Siying Chen
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Laurence Don Wai Luu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Seul A. Lee
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Alfred Chin Yen Tay
- Helicobacter Research Laboratory, Marshall Centre for Infectious Diseases Research and Training, School of Pathology and Laboratory Medicine, University of Western Australia, Perth, Australia
| | - Ruochen Wu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Stephen M. Riordan
- Gastrointestinal and Liver Unit, Prince of Wales Hospital, University of New South Wales, Sydney, Australia
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Lu Liu
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Li Zhang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
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Tao L, He XY, Jiang YT, Lan R, Li M, Li ZM, Yang WF, Hong QH, Chu MX. Combined approaches to reveal genes associated with litter size in Yunshang black goats. Anim Genet 2020; 51:924-934. [PMID: 32986880 DOI: 10.1111/age.12999] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2020] [Indexed: 01/25/2023]
Abstract
Intensive artificial selection has been imposed in Yunshang black goats, the first black specialist mutton goat breed in China, with a breeding object of improving reproductive performance, which has contributed to reshaping of the genome including the characterization of SNP, ROH and haplotype. However, variation in reproductive ability exists in the present population. A WGS was implemented in two subpopulations (polytocous group, PG, and monotocous group, MG) with evident differences of litter size. Following the mapping to reference genome, and SNP calling and pruning, three approaches - GWAS, ROH analysis and detection of signatures of selection - were employed to unveil candidate genes responsible for litter size. Consequently, 12 candidate genes containing OSBPL8 with the minimum P-value were uncovered by GWAS. Differences were observed in the pattern of ROH between two subpopulations that shared similar low inbreeding coefficients. Two ROH hotspots and 12 corresponding genes emerged from ROH pool association analysis. Based on the nSL statistic, 15 and 61 promising genes were disclosed under selection for MG and PG respectively. Of them, some promising genes participate in ovarian function (PPP2R5C, CDC25A, ESR1, RPS26 and SERPINBs), seasonal reproduction (DIO3, BTG1 and CRYM) and metabolism (OSBPL8, SLC39A5 and SERPINBs). Our study pinpointed some novel promising genes influencing litter size, provided a comprehensive insight into genetic makeup of litter size and might facilitate selective breeding in goats.
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Affiliation(s)
- L Tao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - X Y He
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Y T Jiang
- Yunnan Animal Science and Veterinary Institute, Kunming, 650224, China
| | - R Lan
- Yunnan Animal Science and Veterinary Institute, Kunming, 650224, China
| | - M Li
- Annoroad Gene Technology Co. Ltd, Beijing, 100176, China
| | - Z M Li
- Annoroad Gene Technology Co. Ltd, Beijing, 100176, China
| | - W F Yang
- Annoroad Gene Technology Co. Ltd, Beijing, 100176, China
| | - Q H Hong
- Yunnan Animal Science and Veterinary Institute, Kunming, 650224, China
| | - M X Chu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
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Gong L, Tang N, Chen D, Sun K, Lan R, Zhang W, Zhou H, Yuan M, Chen X, Zhao X, Che J, Bai X, Zhang Y, Xu H, Walsh TR, Lu J, Xu J, Li J, Feng J. A Nosocomial Respiratory Infection Outbreak of Carbapenem-Resistant Escherichia coli ST131 With Multiple Transmissible bla KPC-2 Carrying Plasmids. Front Microbiol 2020; 11:2068. [PMID: 33042037 PMCID: PMC7516988 DOI: 10.3389/fmicb.2020.02068] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/06/2020] [Indexed: 11/13/2022] Open
Abstract
Escherichia coli sequence type 131 (ST131) is well known for its multidrug resistance profile. Carbapenems have been considered the treatment of choice for E. coli ST131 infections, and resistance to carbapenems is emerging due to the acquisition of carbapenemase-encoding genes. In this study, 45 carbapenem-resistant E. coli strains were collected in a hospital. The resistance mechanisms, plasmid profiles, and genetic relatedness of these strains were determined. Phylogenetic relationships between these strains were assessed by molecular profiling and aligned with patient clinical details. The genetic context of bla KPC-2 was analyzed to trace the potential dissemination of bla KPC-2. The 45 carbapenem-resistant E. coli ST131 strains were closely related. Initially prevalent only in a single ward, ST131 subsequently spread to other ward, resulting in a respiratory infection outbreak of carbapenem-resistant E. coli ST131. Eight of the 30 patients died within 28 days of the first isolation of E. coli ST131. The bla KPC-2-positive plasmid profiles suggest that the carbapenem resistance was due to the acquisition by E. coli ST131 of transmissible plasmids pE0272_KPC and pE0171_KPC carrying bla KPC-2. Additionally, diverse multidrug resistance elements were transferred and rearranged between these plasmids mediated by IS26. Our research indicates that clinical attention should be paid to the importance of E. coli ST131 in respiratory infections and the spread of bla KPC -carrying E. coli ST131.
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Affiliation(s)
- Lin Gong
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
- Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Na Tang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Dongke Chen
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Kaiwen Sun
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Wen Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Haijian Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Min Yuan
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Xia Chen
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Xiaofei Zhao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Jie Che
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Xuemei Bai
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Yunfei Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Hongtao Xu
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Timothy R. Walsh
- Department of Medical, Microbiology, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Jinxing Lu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Jianguo Xu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Juan Li
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing, China
| | - Jie Feng
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
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Luo Y, Huang C, Ye J, Octavia S, Wang H, Dunbar SA, Jin D, Tang YW, Lan R. Comparison of xMAP Salmonella Serotyping Assay With Traditional Serotyping and Discordance Resolution by Whole Genome Sequencing. Front Cell Infect Microbiol 2020; 10:452. [PMID: 33014887 PMCID: PMC7504902 DOI: 10.3389/fcimb.2020.00452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 07/23/2020] [Indexed: 11/14/2022] Open
Abstract
Salmonella spp. are a major cause of foodborne illness throughout the world. Traditional serotyping by antisera agglutination has been used as a standard identification method for many years but newer nucleic acid-based tests have become available that may provide advantages in workflow and test turnaround time. In this study, we evaluated the Luminex® xMAP® Salmonella Serotyping Assay (SSA), a multiplex nucleic acid test capable of identifying 85% of the most common Salmonella serotypes, in comparison to the traditional serum agglutination test (SAT) on 4 standard strains and 255 isolates from human (224), environmental, and food (31) samples. Of the total of 259 isolates, 256 could be typed by the SSA. Of these, 197 (77.0%) were fully typed and 59 (23.0%) were partially typed. By SAT, 246 of the 259 isolates (95%) were successfully typed. Sixty isolates had discrepant results between SAT and SSA and were resolved using whole genome sequencing (WGS). By SAT, 80.0% (48/60) of the isolates were consistent with WGS while by SSA 91.7% (55/60) were partially consistent with WGS. By serovar, all 30 serovars except one tested were fully or partially typable. The workflow comparison showed that SSA provided advantages over SAT with a hands-on time (HOT) of 3.5 min and total turnaround time (TAT) of 6 h, as compared to 1 h HOT and 2–6 days TAT for SAT. Overall, this study showed that molecular serotyping is promising as a rapid method for Salmonella serotyping with good accuracy for typing most common Salmonella serovars circulating in China.
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Affiliation(s)
- Yun Luo
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia.,Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Chen Huang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Julian Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Huanying Wang
- Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Zhejiang Institute of Microbiology, Hangzhou, China
| | | | - Dazhi Jin
- Centre of Laboratory Medicine, Zhejiang Provincial People Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.,School of Laboratory Medicine, Hangzhou Medical College, Hangzhou, China
| | - Yi-Wei Tang
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Department of Pathology and Laboratory Medicine, Weill Medical College of Cornell University, New York, NY, United States.,Cepheid, Danaher Diagnostic Platform, Shanghai, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
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45
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Liu L, Qin L, Hao S, Lan R, Xu B, Guo Y, Jiang R, Sun H, Chen X, LV X, Xu J, Zhao C. Lineage, Antimicrobial Resistance and Virulence of Citrobacter spp. Pathogens 2020; 9:pathogens9030195. [PMID: 32155802 PMCID: PMC7157202 DOI: 10.3390/pathogens9030195] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 03/04/2020] [Accepted: 03/04/2020] [Indexed: 01/31/2023] Open
Abstract
Citrobacter spp. are opportunistic human pathogens which can cause nosocomial infections, sporadic infections and outbreaks. In order to determine the genetic diversity, in vitro virulence properties and antimicrobial resistance profiles of Citrobacter spp., 128 Citrobacter isolates obtained from human diarrheal patients, foods and environment were assessed by multilocus sequence typing (MLST), antimicrobial susceptibility testing and adhesion and cytotoxicity testing to HEp-2 cells. The 128 Citrobacter isolates were typed into 123 sequence types (STs) of which 101 were novel STs, and these STs were divided into five lineages. Lineages I and II contained C. freundii isolates; Lineage III contained all C. braakii isolates, while Lineage IV and V contained C. youngae isolates. Lineages II and V contained more adhesive and cytotoxic isolates than Lineages I, III, and IV. Fifty-one of the 128 isolates were found to be multidrug-resistant (MDR, ≥3) and mainly distributed in Lineages I, II, and III. The prevalence of quinolone resistance varied with Lineage III (C. braakii) having the highest proportion of resistant isolates (52.6%), followed by Lineage I (C. freundii) with 23.7%. Seven qnrB variants, including two new alleles (qnrB93 and qnrB94) were found with Lineage I being the main reservoir. In summary, highly cytotoxic MDR isolates from diarrheal patients may increase the risk of severe disease.
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Affiliation(s)
- Liyun Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (H.S.); (X.C.); (J.X.)
- Correspondence: (L.L.); (C.Z.)
| | - Liyun Qin
- Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang 050011, China; (L.Q.); (B.X.); (Y.G.); (R.J.); (X.L.)
| | - Shuai Hao
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China;
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia;
| | - Baohong Xu
- Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang 050011, China; (L.Q.); (B.X.); (Y.G.); (R.J.); (X.L.)
| | - Yumei Guo
- Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang 050011, China; (L.Q.); (B.X.); (Y.G.); (R.J.); (X.L.)
| | - Ruiping Jiang
- Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang 050011, China; (L.Q.); (B.X.); (Y.G.); (R.J.); (X.L.)
| | - Hui Sun
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (H.S.); (X.C.); (J.X.)
| | - Xiaoping Chen
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (H.S.); (X.C.); (J.X.)
| | - Xinchao LV
- Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang 050011, China; (L.Q.); (B.X.); (Y.G.); (R.J.); (X.L.)
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (H.S.); (X.C.); (J.X.)
| | - Chuan Zhao
- Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang 050011, China; (L.Q.); (B.X.); (Y.G.); (R.J.); (X.L.)
- Correspondence: (L.L.); (C.Z.)
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46
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Safarchi A, Octavia S, Nikbin VS, Lotfi MN, Zahraei SM, Tay CY, Lamichhane B, Shahcheraghi F, Lan R. Genomic epidemiology of Iranian Bordetella pertussis: 50 years after the implementation of whole cell vaccine. Emerg Microbes Infect 2020; 8:1416-1427. [PMID: 31543006 PMCID: PMC6764348 DOI: 10.1080/22221751.2019.1665479] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Pertussis caused by Bordetella pertussis, remains a public health problem worldwide, despite high vaccine coverage in infants and children in many countries. Iran has been using whole cell vaccine for the last 50 years with more than 95% vaccination rate since 1988 and has experienced pertussis resurgence in recent years. Here, we sequenced 55 B. pertussis isolates mostly collected from three provinces with the highest number of pertussis cases in Iran, including Tehran, Mazandaran, and Eastern-Azarbayjan from the period of 2008-2016. Most isolates carried ptxP3/prn2 alleles (42/55, 76%), the same genotype as isolates circulating in acellular vaccine-administrating countries. The second most frequent genotype was ptxP3/prn9 (8/55, 14%). Only three isolates (5%) were ptxP1. Phylogenetic analysis showed that Iranian ptxP3 isolates can be divided into eight clades (Clades 1-8) with no temporal association. Most of the isolates from Tehran grouped together as one distinctive clade (Clade 8) with six unique single nucleotide polymorphisms (SNPs). In addition, the prn9 isolates were grouped together as Clade 5 with 12 clade-supporting SNPs. No pertactin deficient isolates were found among the 55 Iranian isolates. Our findings suggest that there is an ongoing adaptation and evolution of B. pertussis regardless of the types of vaccine used.
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Affiliation(s)
- Azadeh Safarchi
- Pertussis Reference Laboratory, Department of Bacteriology, Pasteur Institute of Iran , Tehran , Islamic Republic of Iran.,School of Biotechnology and Biomolecular Sciences, University of New South Wales , Sydney , Australia
| | - Sophie Octavia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales , Sydney , Australia
| | - Vajihe Sadat Nikbin
- Pertussis Reference Laboratory, Department of Bacteriology, Pasteur Institute of Iran , Tehran , Islamic Republic of Iran
| | - Masoumeh Nakhost Lotfi
- Pertussis Reference Laboratory, Department of Bacteriology, Pasteur Institute of Iran , Tehran , Islamic Republic of Iran
| | - Seyed Mohsen Zahraei
- Centre for Communicable Disease Control, Ministry of Health and Medical Education , Tehran , Islamic Republic of Iran
| | - Chin Yen Tay
- Pathology and Laboratory Medicine, University of Western Australia , Perth , Australia
| | - Binit Lamichhane
- Pathology and Laboratory Medicine, University of Western Australia , Perth , Australia
| | - Fereshteh Shahcheraghi
- Pertussis Reference Laboratory, Department of Bacteriology, Pasteur Institute of Iran , Tehran , Islamic Republic of Iran
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales , Sydney , Australia
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47
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Wang Y, Luo L, Li Q, Wang H, Wang Y, Sun H, Xu J, Lan R, Ye C. Genomic dissection of the most prevalent Listeria monocytogenes clone, sequence type ST87, in China. BMC Genomics 2019; 20:1014. [PMID: 31870294 PMCID: PMC6929445 DOI: 10.1186/s12864-019-6399-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2019] [Accepted: 12/15/2019] [Indexed: 12/27/2022] Open
Abstract
Background Listeria monocytogenes consists of four lineages that occupy a wide variety of ecological niches. Sequence type (ST) 87 (serotype 1/2b), belonging to lineage I, is one of the most common STs isolated from food products, food associated environments and sporadic listeriosis in China. Here, we performed a comparative genomic analysis of the L. monocytogenes ST87 clone by sequencing 71 strains representing a diverse range of sources, different geographical locations and isolation years. Results The core genome and pan genome of ST87 contained 2667 genes and 3687 genes respectively. Phylogenetic analysis based on core genome SNPs divided the 71 strains into 10 clades. The clinical strains were distributed among multiple clades. Four clades contained strains from multiple geographic regions and showed high genetic diversity. The major gene content variation of ST87 genomes was due to putative prophages, with eleven hotspots of the genome that harbor prophages. All strains carry an intact CRISRP/Cas system. Two major CRISPR spacer profiles were found which were not clustered phylogenetically. A large plasmid of about 90 Kb, which carried heavy metal resistance genes, was found in 32.4% (23/71) of the strains. All ST87 strains harbored the Listeria pathogenicity island (LIPI)-4 and a unique 10-open read frame (ORF) genomic island containing a novel restriction-modification system. Conclusion Whole genome sequence analysis of L. monocytogenes ST87 enabled a clearer understanding of the population structure and the evolutionary history of ST87 L. monocytogenes in China. The novel genetic elements identified may contribute to its virulence and adaptation to different environmental niches. Our findings will be useful for the development of effective strategies for the prevention and treatment of listeriosis caused by this prevalent clone.
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Affiliation(s)
- Yan Wang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Lijuan Luo
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Qun Li
- Zigong Center for Disease Control and Prevention, Zigong, 643000, Sichuan Province, China
| | - Hong Wang
- Zigong Center for Disease Control and Prevention, Zigong, 643000, Sichuan Province, China
| | - Yiqian Wang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Hui Sun
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Jianguo Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
| | - Changyun Ye
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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48
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Xu Z, Octavia S, Luu LDW, Payne M, Timms V, Tay CY, Keil AD, Sintchenko V, Guiso N, Lan R. Pertactin-Negative and Filamentous Hemagglutinin-Negative Bordetella pertussis, Australia, 2013-2017. Emerg Infect Dis 2019; 25:1196-1199. [PMID: 31107218 PMCID: PMC6537726 DOI: 10.3201/eid2506.180240] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
During the 2008–2012 pertussis epidemic in Australia, pertactin (Prn)–negative Bordetella pertussis emerged. We analyzed 78 isolates from the 2013–2017 epidemic and documented continued expansion of Prn-negative ptxP3 B. pertussis strains. We also detected a filamentous hemagglutinin-negative and Prn-negative B. pertussis isolate.
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49
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Gan L, Cao X, Wang Y, Wang Y, Jiang H, Lan R, Xu J, Ye C. Carriage and potential long distance transmission of Listeria monocytogenes by migratory black-headed gulls in Dianchi Lake, Kunming. Emerg Microbes Infect 2019; 8:1195-1204. [PMID: 31393224 PMCID: PMC6713206 DOI: 10.1080/22221751.2019.1647764] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Listeria monocytogenes is a high risk pathogen which can cause invasive diseases in humans. We previously reported that black-headed gulls from Dianchi Lake of Kunming carrying L. monocytogenes, while the characteristics of these isolates and the relationship with habitats of migratory gulls have not been explored. In this study, we investigated the prevalence and molecular characteristics of Listeria monocytogenes from black-headed gulls in Dianchi Lake, and phylogenetic analysis based on core genome SNPs was used to determine the genetic relationship of the strains from Dianchi Lake and other regions. Occurrence of L. monocytogenes in black-headed gull feces in 2016, 2017 and 2018 was 1.0%, 1.0% and 0.6% respectively. The predominant serotype of 28 isolates was 4b, while the predominant sequence types were ST145 and ST201. Based on their prevalence and genomic relationships, ST5 and ST87 were likely to be sourced locally while ST145 and ST201 were likely to be non-local. L. monocytogenes may travel along the bird migration route leading to transmission over a large geographical span carried by black-headed gull. Although the prevalence of L. monocytogenes was low, its carriage by the migratory black-headed gulls poses potential public health risks in regions where the migratory birds passage and reside.
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Affiliation(s)
- Lin Gan
- a State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention , Beijing , People's Republic of China
| | - Xiaolong Cao
- b Beijing Changping Institute for Tuberculosis Prevention and Treatment , Beijing , China
| | - Yan Wang
- a State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention , Beijing , People's Republic of China
| | - Yiqian Wang
- a State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention , Beijing , People's Republic of China
| | - Huaying Jiang
- a State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention , Beijing , People's Republic of China.,c Guizhou Medical University , Guiyang , China
| | - Ruiting Lan
- d University of New South Wales , Sydney , Australia
| | - Jianguo Xu
- a State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention , Beijing , People's Republic of China
| | - Changyun Ye
- a State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention , Beijing , People's Republic of China
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50
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Xu X, Zhang H, Huang Y, Zhang Y, Wu C, Gao P, Teng Z, Luo X, Peng X, Wang X, Wang D, Pu J, Zhao H, Lu X, Lu S, Ye C, Dong Y, Lan R, Xu J. Beyond a Ribosomal RNA Methyltransferase, the Wider Role of MraW in DNA Methylation, Motility and Colonization in Escherichia coli O157:H7. Front Microbiol 2019; 10:2520. [PMID: 31798540 PMCID: PMC6863780 DOI: 10.3389/fmicb.2019.02520] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Accepted: 10/18/2019] [Indexed: 12/31/2022] Open
Abstract
MraW is a 16S rRNA methyltransferase and plays a role in the fine-tuning of the ribosomal decoding center. It was recently found to contribute to the virulence of Staphylococcus aureus. In this study, we examined the function of MraW in Escherichia coli O157:H7 and found that the deletion of mraW led to decreased motility, flagellar production and DNA methylation. Whole-genome bisulfite sequencing showed a genome wide decrease of methylation of 336 genes and 219 promoters in the mraW mutant including flagellar genes. The methylation level of flagellar genes was confirmed by bisulfite PCR sequencing. Quantitative reverse transcription PCR results indicated that the transcription of these genes was also affected. MraW was furtherly observed to directly bind to the four flagellar gene sequences by electrophoretic mobility shift assay (EMSA). A common flexible motif in differentially methylated regions (DMRs) of promoters and coding regions of the four flagellar genes was identified. Reduced methylation was correlated with altered expression of 21 of the 24 genes tested. DNA methylation activity of MraW was confirmed by DNA methyltransferase activity assay in vitro and repressed by DNA methylation inhibitor 5-aza-2'-deoxycytidine (5-aza). In addition, the mraW mutant colonized poorer than wild type in mice. We also found that the expression of mraZ in the mraW mutant was increased confirming the antagonistic effect of mraW on mraZ. In conclusion, mraW was found to be a DNA methylase and have a wide-ranging effect on E. coli O157:H7 including motility and virulence in vivo via genome wide methylation and mraZ antagonism.
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Affiliation(s)
- Xuefang Xu
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Heng Zhang
- Beijing Synchrotron Radiation Facility, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Ying Huang
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Yuan Zhang
- China Institute of Veterinary Drug Control, Haidian, China
| | - Changde Wu
- College of Animal Sciences and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Pengya Gao
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, China.,College of Animal Sciences and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhongqiu Teng
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xuelian Luo
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xiaojing Peng
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xiaoyuan Wang
- Heilongjiang University of Chinese Medicine, Harbin, China
| | - Dai Wang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Ji Pu
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Hongqing Zhao
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xuancheng Lu
- Laboratory Animal Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuangshuang Lu
- Laboratory Animal Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Changyun Ye
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Yuhui Dong
- Beijing Synchrotron Radiation Facility, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Ruiting Lan
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jianguo Xu
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
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