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Kang Y, Yu K, Huang Z, Pang B, Liu S, Peng T, Li Y, Wang D. Prevalence and molecular characteristics of Shewanella infection in diarrhea patients in Beijing, China 2017-2019. Front Microbiol 2024; 15:1293577. [PMID: 38357347 PMCID: PMC10866003 DOI: 10.3389/fmicb.2024.1293577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/03/2024] [Indexed: 02/16/2024] Open
Abstract
Introduction Shewanella is an important opportunistic pathogen distributed in marine environments that has caused an increasing number of clinical infections. However, there are few reports on the distribution and characteristics of Shewanella in the diarrheal pathogen spectrum. In this study, we have systematically described the prevalence of Shewanella infections in diarrhea patients in Beijing, China 2017-2019, and genome characteristics and antimicrobial susceptibility of Shewanella isolates. Methods Stool samples were collected from diarrhea patients in a surveillance project from 2017 to 2019. Shewanella strains were isolated, and identified using VITEKR 2 COMPACT and MALDI-TOF MS. Average nucleotide identity (ANI) analysis, multi-locus sequence typing (MLST), phylogenetic analysis, virulence-associated genes and antimicrobial resistance genes analysis were used for genome characteristics description. The antibiotic susceptibility test was performed with microbroth dilution method. Results 1104 fecal samples were collected, and the Shewanella detection rate was 2.36% (26/1104). The main manifestations of infection caused by Shewanella spp. were diarrhea (100%, 26/26), abdominal pain (65.38%, 17/26), and vomiting (38.46%, 10/26). The 26 isolates were classified into 3 species (S. algae (n = 18), S. indica (n = 5), and S. chilikensis (n = 3)) and 22 sequence types. Core genome single nucleotide polymorphism-based evolutionary tree identified three clone groups corresponding to three infection events in the same months in 2017 and 2019. The putative virulence-associated gene pool consisted of 56 potential virulence genes, including 19 virulence gene factors. The resistance rates of the 26 isolates to 17 antibiotics from high to low were as follows: polymyxin E (76.92%), cefotaxime (57.69%), ampicillin (50%), ampicillin-sulbactam (34.62%), nalidixic acid (15.38%), ciprofloxacin (11.54%), selectrin (3.846%,1/26), and tetracycline (3.846%, 1/26). The rate of multidrug resistance was 38.46% (10/26). Discussion Monitoring for Shewanella spp. should be added to the routine surveillance of infectious diarrhea during the epidemic season.
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Affiliation(s)
- Ying Kang
- Shunyi District Center for Disease Control and Prevention, Beijing, China
- Workstation for Microbial Infectious Disease, Shunyi District Center for Disease Control and Prevention, Beijing, China
| | - Keyi Yu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Zhenzhou Huang
- Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Bo Pang
- Workstation for Microbial Infectious Disease, Shunyi District Center for Disease Control and Prevention, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Shengtian Liu
- Shunyi District Center for Disease Control and Prevention, Beijing, China
| | - Tao Peng
- Shunyi District Center for Disease Control and Prevention, Beijing, China
| | - Ying Li
- Shunyi District Center for Disease Control and Prevention, Beijing, China
- Workstation for Microbial Infectious Disease, Shunyi District Center for Disease Control and Prevention, Beijing, China
| | - Duochun Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
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Zhang W, Chen K, Zhang L, Zhang X, Zhu B, Lv N, Mi K. The impact of global warming on the signature virulence gene, thermolabile hemolysin, of Vibrio parahaemolyticus. Microbiol Spectr 2023; 11:e0150223. [PMID: 37843303 PMCID: PMC10715048 DOI: 10.1128/spectrum.01502-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 09/05/2023] [Indexed: 10/17/2023] Open
Abstract
IMPORTANCE In this study, Vibrio parahaemolyticus strains were collected from a large number of aquatic products globally and found that temperature has an impact on the virulence of these bacteria. As global temperatures rise, mutations in a gene marker called thermolabile hemolysin (tlh) also increase. This suggests that environmental isolates adapt to the warming environment and become more pathogenic. The findings can help in developing tools to analyze and monitor these bacteria as well as assess any link between climate change and vibrio-associated diseases, which could be used for forecasting outbreaks associated with them.
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Affiliation(s)
- Weishan Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Keyu Chen
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Lin Zhang
- Shijiazhuang Customs Technology Center, Hebei, China
| | - Ximeng Zhang
- Science and Technology Research Center of China Customs, Beijing, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Na Lv
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Kaixia Mi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
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Konopka A, Kozera R, Sas-Paszt L, Trzcinski P, Lisek A. Identification of the selected soil bacteria genera based on their geometric and dispersion features. PLoS One 2023; 18:e0293362. [PMID: 37889906 PMCID: PMC10610483 DOI: 10.1371/journal.pone.0293362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
The visual analysis of microscopic images is often used for soil bacteria recognition in microbiology. Such task can be automated with the aid of machine learning and digital image processing techniques. The best results for soil microorganism identification usually rely on extracting features based on color. However, accommodating in the latter an extra impact of lighting conditions or sample's preparation on classification accuracy is often omitted. In contrast, this research examines features which are insensitive to the above two factors by focusing rather on bacteria shape and their specific group dispersion. In doing so, the calculation of layout features resorts to k-means and mean shift methods. Additionally, the dependencies between specific distances determined from bacteria cells and the curvature of interpolated bacteria boundary are computed to extract vital geometric shape information. The proposed bacteria recognition tool involves testing four different classification methods for which the parameters are iteratively adjusted. The results obtained here for five selected soil bacteria genera: Enterobacter, Rhizobium, Pantoea, Bradyrhizobium and Pseudomonas reach 85.14% classification accuracy upon combining both geometric and dispersion features. The latter forms a promising result as a substitutive tool for color-based feature classification.
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Affiliation(s)
- Aleksandra Konopka
- Institute of Information Technology, Warsaw University of Life Sciences - SGGW, Warsaw, Poland
| | - Ryszard Kozera
- Institute of Information Technology, Warsaw University of Life Sciences - SGGW, Warsaw, Poland
- School of Physics, Mathematics and Computing, The University of Western Australia, Perth, Australia
| | - Lidia Sas-Paszt
- Department of Microbiology and Rizosphere, The National Institute of Horticultural Research, Skierniewice, Poland
| | - Pawel Trzcinski
- Department of Microbiology and Rizosphere, The National Institute of Horticultural Research, Skierniewice, Poland
| | - Anna Lisek
- Department of Microbiology and Rizosphere, The National Institute of Horticultural Research, Skierniewice, Poland
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Luu LDW, Kasimov V, Phillips S, Myers GSA, Jelocnik M. Genome organization and genomics in Chlamydia: whole genome sequencing increases understanding of chlamydial virulence, evolution, and phylogeny. Front Cell Infect Microbiol 2023; 13:1178736. [PMID: 37287464 PMCID: PMC10242142 DOI: 10.3389/fcimb.2023.1178736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 05/10/2023] [Indexed: 06/09/2023] Open
Abstract
The genus Chlamydia contains important obligate intracellular bacterial pathogens to humans and animals, including C. trachomatis and C. pneumoniae. Since 1998, when the first Chlamydia genome was published, our understanding of how these microbes interact, evolved and adapted to different intracellular host environments has been transformed due to the expansion of chlamydial genomes. This review explores the current state of knowledge in Chlamydia genomics and how whole genome sequencing has revolutionised our understanding of Chlamydia virulence, evolution, and phylogeny over the past two and a half decades. This review will also highlight developments in multi-omics and other approaches that have complemented whole genome sequencing to advance knowledge of Chlamydia pathogenesis and future directions for chlamydial genomics.
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Affiliation(s)
- Laurence Don Wai Luu
- School of Life Sciences, University of Technology Sydney, Sydney, NSW, Australia
| | - Vasilli Kasimov
- Centre for Bioinnovation, University of the Sunshine Coast, Sippy Downs, QLD, Australia
- School of Science, Technology and Engineering, University of the Sunshine Coast, Sippy Downs, QLD, Australia
| | - Samuel Phillips
- Centre for Bioinnovation, University of the Sunshine Coast, Sippy Downs, QLD, Australia
| | - Garry S. A. Myers
- Australian Institute for Microbiology and Infection, University of Technology Sydney, Sydney, NSW, Australia
| | - Martina Jelocnik
- Centre for Bioinnovation, University of the Sunshine Coast, Sippy Downs, QLD, Australia
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Analysis of Genetic Relatedness between Gastric and Oral Helicobacter pylori in Patients with Early Gastric Cancer Using Multilocus Sequence Typing. Int J Mol Sci 2023; 24:ijms24032211. [PMID: 36768541 PMCID: PMC9917182 DOI: 10.3390/ijms24032211] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/13/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
The oral cavity is the second most colonized site of Helicobacter pylori after the stomach. This study aimed to compare the genetic relatedness between gastric and oral H. pylori in Japanese patients with early gastric cancer through multilocus sequence typing (MLST) analysis using eight housekeeping genes. Gastric biopsy specimens and oral samples were collected from 21 patients with a fecal antigen test positive for H. pylori. The number of H. pylori allelic profiles ranged from zero to eight since the yield of DNA was small even when the nested PCR was performed. MLST analysis revealed that only one patient had a matching oral and gastric H. pylori genotype, suggesting that different genotypes of H. pylori inhabit the oral cavity and gastric mucosa. The phylogenetic analysis showed that oral H. pylori in six patients was similar to gastric H. pylori, implying that the two strains are related but not of the same origin, and those strains may be infected on separate occasions. It is necessary to establish a culture method for oral H. pylori to elucidate whether the oral cavity acts as the source of gastric infection, as our analysis was based on a limited number of allele sequences.
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White RT, Anstey SI, Kasimov V, Jenkins C, Devlin J, El-Hage C, Pannekoek Y, Legione AR, Jelocnik M. One clone to rule them all: Culture-independent genomics of Chlamydia psittaci from equine and avian hosts in Australia. Microb Genom 2022; 8. [PMID: 36269227 PMCID: PMC9676050 DOI: 10.1099/mgen.0.000888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Chlamydia psittaci is an avian pathogen with zoonotic potential. In Australia, C. psittaci has been well reported as a cause of reproductive loss in mares which subsequently have been the source of infection and illness in some in-contact humans. To date, molecular typing studies describe the predominant and clonal C. psittaci sequence type (ST)24 strains in horse, psittacine, and human infections. We sought to assess the clonality between ST24 strains and the emergence of equine ST24 with a comprehensive genomics approach. We used culture-independent probe-based and metagenomic whole-genome sequencing to investigate 13 C. psittaci genomes from horses, psittacines, and a pigeon from Australia. Published genomes of 36 C. psittaci strains were also used to contextualise our Australian dataset and investigate lineage diversity. We utilised a single-nucleotide polymorphism (SNP) based clustering and multi-locus sequence typing (MLST) approach. C. psittaci has four major phylogenetic groups (PG1-4) based on core-genome SNP-based phylogeny. PG1 contained clonal global and Australian equine, psittacine, and human ST24 genomes, with a median pairwise SNP distance of 68 SNPs. PG2, PG3, and PG4 had greater genomic diversity, including diverse STs collected from birds, livestock, human, and horse hosts from Europe and North America and a racing pigeon from Australia. We show that the clustering of C. psittaci by MLST was congruent with SNP-based phylogeny. The monophyletic ST24 clade has four major sub-lineages. The genomes of 17 Australian human, equine, and psittacine strains collected between 2008 and 2021 formed the predominant ST24 sub-lineage 1 (emerged circa 1979). Despite a temporal distribution of 13 years, the genomes within sub-lineage 1 had a median pairwise SNP distance of 32 SNPs, suggesting a recent population expansion or potential cross-host transmission. However, two C. psittaci genomes collected in 2015 from Victorian parrots clustered into distinct ST24 sub-lineage 4 (emerged circa 1965) with ovine strain C19/98 from Germany. This work describes a comprehensive phylogenomic characterisation of ST24 and identifies a timeline of potential bird-to-equine spillover events.
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Affiliation(s)
- Rhys T White
- University of the Sunshine Coast, Centre for Bioinnovation, Sippy Downs, Sunshine Coast, Queensland 4557, Australia.,The University of Queensland, School of Chemistry and Molecular Biosciences, Australian Infectious Disease Research Centre, Brisbane, Queensland 4072, Australia.,The University of Queensland, Australian Centre for Ecogenomics, Brisbane, Queensland 4072, Australia
| | - Susan I Anstey
- University of the Sunshine Coast, Centre for Bioinnovation, Sippy Downs, Sunshine Coast, Queensland 4557, Australia
| | - Vasilli Kasimov
- University of the Sunshine Coast, Centre for Bioinnovation, Sippy Downs, Sunshine Coast, Queensland 4557, Australia
| | - Cheryl Jenkins
- NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Menangle, New South Wales 2568, Australia
| | - Joanne Devlin
- The University of Melbourne, Melbourne Veterinary School, Asia Pacific Centre for Animal Health, Parkville, Victoria 3010, Australia
| | - Charles El-Hage
- The University of Melbourne, Melbourne Veterinary School, Asia Pacific Centre for Animal Health, Parkville, Victoria 3010, Australia
| | - Yvonne Pannekoek
- University of Amsterdam, Amsterdam UMC, Department of Medical Microbiology and Infection Prevention, Amsterdam 1105, The Netherlands
| | - Alistair R Legione
- The University of Melbourne, Melbourne Veterinary School, Asia Pacific Centre for Animal Health, Parkville, Victoria 3010, Australia
| | - Martina Jelocnik
- University of the Sunshine Coast, Centre for Bioinnovation, Sippy Downs, Sunshine Coast, Queensland 4557, Australia
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Emergence of Novel Chlamydia trachomatis Sequence Types among Chlamydia Patients in the Republic of Belarus. Microorganisms 2022; 10:microorganisms10020478. [PMID: 35208932 PMCID: PMC8876968 DOI: 10.3390/microorganisms10020478] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/15/2022] [Accepted: 02/18/2022] [Indexed: 11/17/2022] Open
Abstract
Chlamydia trachomatis (CT) is a major cause of sexually transmitted diseases worldwide. The multilocus sequence typing (MLST) of clinical samples from random heterosexual chlamydia patients who were either asymptomatic or reported clinical manifestations of genital chlamydiosis (n = 63) in each of the seven major regions of the Republic of Belarus in 2017–2018 revealed 12 different CT sequence types (STs). We found seven known STs, ST4, ST6, ST9, ST13, ST38, ST95 and ST110, and five novel variants, namely ST271–ST275, which have not been detected elsewhere thus far. The ST4 variant was predominant (27/63, 42.9%) and detected in six out of seven regions. The two most common STs, ST9 and ST13, were regularly seen in four out of seven regions. In contrast, the remaining STs, ST6, ST38, ST95, ST110, and novel STs271-275, surfaced randomly in different parts of the country. The emergence of novel STs was registered in two regions, namely Minsk (ST271 and ST275) and Brest (ST271, ST272, ST273, and ST274). All the STs of detected CT strains were clustered into two Groups, I and III, which are characteristic of CT urogenital strains. No STs typical for Group II, specific to the LGV strains, were revealed. Our study contributes to better understanding the genetic diversity and molecular evolution of CT, one of the most important pathogens in public health worldwide.
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