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dos Santos AMP, Panzenhagen P, Ferrari RG, de Jesus ACS, Portes AB, Ochioni AC, Rodrigues DDP, Conte-Junior CA. Genomic Characterization of Salmonella Isangi: A Global Perspective of a Rare Serovar. Antibiotics (Basel) 2023; 12:1309. [PMID: 37627729 PMCID: PMC10451742 DOI: 10.3390/antibiotics12081309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/07/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Salmonella Isangi is an infrequent serovar that has recently been reported in several countries due to nosocomial infections. A considerable number of reports indicate Salmonella Isangi multidrug resistance, especially to cephalosporins, which could potentially pose a risk to public health worldwide. Genomic analysis is an excellent tool for monitoring the emergence of microorganisms and related factors. In this context, the aim of this study was to carry out a genomic analysis of Salmonella Isangi isolated from poultry in Brazil, and to compare it with the available genomes from the Pathogen Detection database and Sequence Read Archive. A total of 142 genomes isolated from 11 different countries were investigated. A broad distribution of extended-spectrum beta-lactamase (ESBL) genes was identified in the Salmonella Isangi genomes examined (blaCTX-M-15, blaCTX-M-2, blaDHA-1, blaNDM-1, blaOXA-10, blaOXA-1, blaOXA-48, blaSCO-1, blaSHV-5, blaTEM-131, blaTEM-1B), primarily in South Africa. Resistome analysis revealed predicted resistance to aminoglycoside, sulfonamide, macrolide, tetracycline, trimethoprim, phenicol, chloramphenicol, and quaternary ammonium. Additionally, PMQR (plasmid-mediated quinolone resistance) genes qnr19, qnrB1, and qnrS1 were identified, along with point mutations in the genes gyrAD87N, gyrAS83F, and gyrBS464F, which confer resistance to ciprofloxacin and nalidixic acid. With regard to plasmids, we identified 17 different incompatibility groups, including IncC, Col(pHAD28), IncHI2, IncHI2A, IncM2, ColpVC, Col(Ye4449), Col156, IncR, IncI1(Alpha), IncFIB (pTU3), Col(B5512), IncQ1, IncL, IncN, IncFIB(pHCM2), and IncFIB (pN55391). Phylogenetic analysis revealed five clusters grouped by sequence type and antimicrobial gene distribution. The study highlights the need for monitoring rare serovars that may become emergent due to multidrug resistance.
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Affiliation(s)
- Anamaria Mota Pereira dos Santos
- Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-598, RJ, Brazil; (A.M.P.d.S.); (R.G.F.); (A.C.S.d.J.); (A.B.P.); (A.C.O.); (C.A.C.-J.)
- Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-909, RJ, Brazil
- Graduate Program in Veterinary Hygiene (PGHIGVET), Faculty of Veterinary Medicine, Fluminense Federal University (UFF), Niterói 24230-340, RJ, Brazil
| | - Pedro Panzenhagen
- Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-598, RJ, Brazil; (A.M.P.d.S.); (R.G.F.); (A.C.S.d.J.); (A.B.P.); (A.C.O.); (C.A.C.-J.)
- Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-909, RJ, Brazil
| | - Rafaela G. Ferrari
- Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-598, RJ, Brazil; (A.M.P.d.S.); (R.G.F.); (A.C.S.d.J.); (A.B.P.); (A.C.O.); (C.A.C.-J.)
- Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-909, RJ, Brazil
| | - Ana Carolina S. de Jesus
- Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-598, RJ, Brazil; (A.M.P.d.S.); (R.G.F.); (A.C.S.d.J.); (A.B.P.); (A.C.O.); (C.A.C.-J.)
- Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-909, RJ, Brazil
- Graduate Program in Food Science (PPGCAL), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-909, RJ, Brazil
| | - Ana Beatriz Portes
- Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-598, RJ, Brazil; (A.M.P.d.S.); (R.G.F.); (A.C.S.d.J.); (A.B.P.); (A.C.O.); (C.A.C.-J.)
- Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-909, RJ, Brazil
- Graduate Program in Veterinary Hygiene (PGHIGVET), Faculty of Veterinary Medicine, Fluminense Federal University (UFF), Niterói 24230-340, RJ, Brazil
| | - Alan Clavelland Ochioni
- Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-598, RJ, Brazil; (A.M.P.d.S.); (R.G.F.); (A.C.S.d.J.); (A.B.P.); (A.C.O.); (C.A.C.-J.)
- Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-909, RJ, Brazil
| | | | - Carlos Adam Conte-Junior
- Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-598, RJ, Brazil; (A.M.P.d.S.); (R.G.F.); (A.C.S.d.J.); (A.B.P.); (A.C.O.); (C.A.C.-J.)
- Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-909, RJ, Brazil
- Graduate Program in Veterinary Hygiene (PGHIGVET), Faculty of Veterinary Medicine, Fluminense Federal University (UFF), Niterói 24230-340, RJ, Brazil
- Graduate Program in Food Science (PPGCAL), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-909, RJ, Brazil
- Graduate Program in Sanitary Surveillance (PPGVS), National Institute of Health Quality Control (INCQS), Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, RJ, Brazil
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2
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Vilela FP, Rodrigues DDP, Allard MW, Falcão JP. The rare Salmonella enterica serovar Isangi: genomic characterization of the antimicrobial resistance, virulence potential and epidemiology of Brazilian strains in comparison to global isolates. J Med Microbiol 2023; 72. [PMID: 37462464 DOI: 10.1099/jmm.0.001736] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023] Open
Abstract
Introduction. Salmonella enterica serovar Isangi (S. Isangi) is a rare non-typhoidal serovar, related to invasive nosocomial infections in various countries and to increasing antimicrobial resistance rates.Gap statement. Despite existing reports on S. Isangi, there is a lack of information of specific traits regarding this serovar, which could be improved through genomic analyses.Aim. Our goals were to characterize the antimicrobial resistance, virulence potential and genomic relatedness of 11 S. Isangi strains from Brazil in comparison to 185 genomes of global isolates using whole-genome sequencing (WGS) data.Methodology. Phenotypic resistance was determined by disc-diffusion. The search for resistance genes, plasmids, prophages, Salmonella pathogenicity islands (SPIs) and virulence genes, plus multi-locus sequence typing (MLST) and core-genome MLST (cgMLST) were performed using WGS.Results. Brazilian S. Isangi strains showed phenotypic resistance to nalidixic acid, ciprofloxacin and streptomycin, and harboured antimicrobial resistance [qnrB19, aac(6')-Iaa, mdsAB] and heavy metal tolerance (arsD, golST) genes. Col(pHAD28) and IncFII(S) plasmids, virulence genes related to adherence, macrophage induction, magnesium uptake, regulation and type III secretion systems, 12 SPIs and eight prophages were detected. The 185 additional global genomes analysed harboured resistance genes against 11 classes of antimicrobial compounds, 22 types of plasmids, 32 prophages, 14 SPIs, and additional virulence genes related to serum resistance, stress adaptation and toxins. Sequence type (ST)216 was assigned to genomes from Brazil and other countries, while ST335 was the most frequent ST, especially among South African genomes. cgMLST showed that Brazilian genomes were more closely related to genomes from European and African countries, the USA and Taiwan, while the majority of South African genomes were more closely related among each other.Conclusion. The presence of S. Isangi strains from Brazil and different countries showing a close genomic correlation, antimicrobial resistance profiles to drugs used in human therapy and a large number of virulence determinants reinforced the need for stronger initiatives to monitor rare non-typhoidal Salmonella serovars such as S. Isangi in order to prevent its dissemination among human and non-human sources.
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Affiliation(s)
- Felipe Pinheiro Vilela
- Faculdade de Ciências Farmacêuticas de Ribeirão Preto - USP, Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Av. do Café, s/n, 14040-903, Ribeirão Preto, SP, Brazil
| | | | - Marc William Allard
- Division of Microbiology, Office of Regulatory Science, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Juliana Pfrimer Falcão
- Faculdade de Ciências Farmacêuticas de Ribeirão Preto - USP, Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Av. do Café, s/n, 14040-903, Ribeirão Preto, SP, Brazil
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Deng Y, Jiang M, Kwan PSL, Yang C, Chen Q, Lin Y, Qiu Y, Li Y, Shi X, Li L, Cui Y, Sun Q, Hu Q. Integrated Whole-Genome Sequencing Infrastructure for Outbreak Detection and Source Tracing of Salmonella enterica Serotype Enteritidis. Foodborne Pathog Dis 2021; 18:582-589. [PMID: 33450161 DOI: 10.1089/fpd.2020.2856] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
As an important foodborne pathogen, Salmonella enterica serotype Enteritidis is recognized as one of the most common causes of human salmonellosis globally. Outbreak detection for this highly homogenous serotype, however, has remained challenging. Rapid advances in sequencing technologies have presented whole-genome sequencing (WGS) as a significant advancement for source tracing and molecular typing of foodborne pathogens. A retrospective analysis was conducted using Salmonella Enteritidis isolates (n = 65) from 11 epidemiologically confirmed outbreaks and a collection of contemporaneous sporadic isolates (n = 258) during 2007-2017 to evaluate the performance of WGS in delineating outbreak-associated isolates. Whole-genome single-nucleotide polymorphism (SNP)-based phylogenetic analysis revealed well-supported clades in concordance with epidemiological evidence and pairwise distances of ≤3 SNPs for all outbreaks. WGS-based framework of outbreak detection was thus proposed and applied prospectively to investigate isolates (n = 66) from nine outbreaks during 2018-2019. We further demonstrated the superior discriminatory power and accuracy of WGS to resolve and delineate outbreaks for pragmatic food source tracing. The proposed integrated WGS framework is the first in China for Salmonella Enteritidis and has the potential to serve as a paradigm for outbreak detection and source tracing of Salmonella throughout the stages of food production, as well as expanded to other foodborne pathogens.
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Affiliation(s)
- Yinhua Deng
- Key Laboratory of Bio-Resource and Eco-Environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Min Jiang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Patrick S L Kwan
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Chao Yang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China.,State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Qiongcheng Chen
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yiman Lin
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yaqun Qiu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yinghui Li
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xiaolu Shi
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Liqiang Li
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Yujun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Qun Sun
- Key Laboratory of Bio-Resource and Eco-Environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Qinghua Hu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
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4
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Liu WJ, Pan HJ, Song Y, Li Y, Wang YQ, Zou XN, Zhu DN, Gong YH, Xu YC. Investigation of an enteritis outbreak caused by Salmonella enterica serovar Aberdeen in China. Chin Med J (Engl) 2020; 133:1995-1996. [PMID: 32826468 PMCID: PMC7462223 DOI: 10.1097/cm9.0000000000000938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Indexed: 11/25/2022] Open
Affiliation(s)
- Wen-Juan Liu
- Department of Microbiology Laboratory, Yantai Center for Disease Control and Prevention, Yantai, Shandong 264003, China
| | - Hao-Jie Pan
- Department of Microbiology Laboratory, Fushan Center for Disease Control and Prevention, Yantai, Shandong 265500, China
| | - Yan Song
- Department of Microbiology Laboratory, Yantai Center for Disease Control and Prevention, Yantai, Shandong 264003, China
| | - Yan Li
- Department of Microbiology Laboratory, Yantai Center for Disease Control and Prevention, Yantai, Shandong 264003, China
| | - Yan-Qing Wang
- Department of Microbiology Laboratory, Yantai Center for Disease Control and Prevention, Yantai, Shandong 264003, China
| | - Xiao-Nan Zou
- Department of Microbiology Laboratory, Yantai Center for Disease Control and Prevention, Yantai, Shandong 264003, China
| | - Dong-Nan Zhu
- Department of Microbiology Laboratory, Yantai Center for Disease Control and Prevention, Yantai, Shandong 264003, China
| | - Yue-Hua Gong
- Department of Microbiology Laboratory, Yantai Center for Disease Control and Prevention, Yantai, Shandong 264003, China
| | - Ying-Chun Xu
- Department of Microbiology Laboratory, Yantai Center for Disease Control and Prevention, Yantai, Shandong 264003, China
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5
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Monte DFM, Nethery MA, Barrangou R, Landgraf M, Fedorka-Cray PJ. Whole-genome sequencing analysis and CRISPR genotyping of rare antibiotic-resistant Salmonella enterica serovars isolated from food and related sources. Food Microbiol 2020; 93:103601. [PMID: 32912589 DOI: 10.1016/j.fm.2020.103601] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 07/17/2020] [Accepted: 07/21/2020] [Indexed: 11/25/2022]
Abstract
For decades, Salmonella Typhimurium and Salmonella Enteritidis have prevailed in several countries as agents of salmonellosis outbreaks. In Brazil, the largest exporter of poultry meat, relatively little attention has been paid to infrequent serovars. Here, we report the emergence and characterization of rare serovars isolated from food and related sources collected between 2014 and 2016 in Brazil. Twenty-two Salmonella enterica isolates were analyzed through the use of whole-genome sequencing (WGS) and clustered regularly interspaced short palindromic repeats (CRISPR) genotyping. These isolates were classified into 10 infrequent serovars, including S. Abony, S. Isangi, S. Rochdale, S. Saphra, S. Orion, S. Ouakam, S. Grumpensis, S. Carrau, S. Abaetetuba, and S. Idikan. The presence of six antimicrobial resistance (AMR) genes, qnrB19, blaCMY-2, tetA, aac(6')-Iaa, sul2 and fosA7, which encode resistance to quinolones, third-generation cephalosporin, tetracycline, aminoglycoside, sulfonamide and fosfomycin, respectively, were confirmed by WGS. All S. Isangi harbored qnrB19 with conserved genomic context across strains, while S. Abony harbored blaCMY-2. Twelve (54.5%) strains displayed chromosomal mutations in parC (Thr57→Ser). Most serovars were classified as independent lineages, except S. Abony and S. Abaetetuba, which phylogenetically nested with Salmonella strains from different countries. CRISPR analysis revealed that the spacer content was strongly correlated with serovar and multi-locus sequence type for all strains, independently confirming the observed phylogenetic patterns, and highlighting the value of CRISPR-based genotyping for Salmonella. These findings add valuable information to the epidemiology of S. enterica in Brazil, where the emergency of antibiotic-resistant Salmonella continues to evolve.
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Affiliation(s)
- Daniel F M Monte
- Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, Food Research Center, University of São Paulo, Brazil; Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, NC, USA.
| | - Matthew A Nethery
- Genomic Sciences Graduate Program, North Carolina State University, Raleigh, NC, USA; Department of Food, Bioprocessing & Nutrition Sciences, North Carolina State University, Raleigh, NC, USA
| | - Rodolphe Barrangou
- Genomic Sciences Graduate Program, North Carolina State University, Raleigh, NC, USA; Department of Food, Bioprocessing & Nutrition Sciences, North Carolina State University, Raleigh, NC, USA
| | - Mariza Landgraf
- Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, Food Research Center, University of São Paulo, Brazil
| | - Paula J Fedorka-Cray
- Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, NC, USA.
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6
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Li XP, Wang SF, Hou PB, Liu J, Du P, Bai L, Fanning S, Zhang HN, Chen YZ, Zhang YK, Kang DM. Nosocomial cross-infection of hypervirulent Listeria monocytogenes sequence type 87 in China. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:603. [PMID: 32566629 PMCID: PMC7290528 DOI: 10.21037/atm-19-2743] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Background To investigate the epidemiological and phenotypic characteristics and molecular relatedness of L. monocytogenes, which were cultured from the blood and cerebrospinal fluid (CSF) samples isolated from two neonates. Methods In the present case study, two infected neonates were interviewed and epidemiological investigation performed. The phenotypic characteristics and molecular relatedness of L. monocytogenes was characterized by serotyping, pulsed-field gel electrophoresis and whole-genome sequencing (WGS). Results The field investigation found that the two neonates were born in the same hospital (Hospital B) and admitted to the neonatal department through different channels within half an hour by different nurses, where they were weighed and placed in different but adjacent incubators. Then they were cared for by the same group of nurses that evening. It is worth noting that there was no record of sanitation of the neonatal incubator of neonate-1. The serotype of the two isolated L. monocytogenes were 1/2b, with an indistinguishable pulsotypes and were sequence type (ST) 87. WGS showed that there were no core SNP differences identified. In order to explore the genomic traits associated with L. monocytogenes virulence genes, we identified the Listeria pathogenicity island 4 and found that the genome was devoid of any stress islands. There are no positive results from the environmental samples. Considering the genomic data together with epidemiological evidence and clinical symptoms, insufficient surface cleaning along with the nursing staff caring for these neonates was considered as cross-infection factors. Conclusions To our knowledge, this is the first report of a nosocomial cross-infection of L. monocytogenes ST87 between two neonates, which carries the recently identified gene cluster expressing the cellobiose-family phosphotransferase system (PTS-LIPI-4) between two neonates. The test results of environmental samples in the hospital indicate that strict sterilization and patient isolation measures cannot be emphasized enough in neonatal nursing.
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Affiliation(s)
- Xin-Peng Li
- Shandong Center for Disease Control and Prevention, Jinan 250014, China.,Academy of Preventive Medicine, Shandong University, Jinan 250014, China.,Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - Shi-Fu Wang
- Department of Children's Medical Laboratory Diagnosis Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China
| | - Pei-Bin Hou
- Shandong Center for Disease Control and Prevention, Jinan 250014, China.,Academy of Preventive Medicine, Shandong University, Jinan 250014, China.,Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - Jing Liu
- Shandong Center for Disease Control and Prevention, Jinan 250014, China.,Academy of Preventive Medicine, Shandong University, Jinan 250014, China.,Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - Pengcheng Du
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Li Bai
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Séamus Fanning
- UCD-Centre for Food Safety, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Belfield, Dublin, Ireland
| | - Hua-Ning Zhang
- Shandong Center for Disease Control and Prevention, Jinan 250014, China.,Academy of Preventive Medicine, Shandong University, Jinan 250014, China.,Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - Yu-Zhen Chen
- Shandong Center for Disease Control and Prevention, Jinan 250014, China.,Academy of Preventive Medicine, Shandong University, Jinan 250014, China.,Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
| | - Yun-Kui Zhang
- Department of Children's Medical Laboratory Diagnosis Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China
| | - Dian-Min Kang
- Shandong Center for Disease Control and Prevention, Jinan 250014, China.,Academy of Preventive Medicine, Shandong University, Jinan 250014, China.,Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
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7
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Yang X, Huang J, Zhang Y, Liu S, Chen L, Xiao C, Zeng H, Wei X, Gu Q, Li Y, Wang J, Ding Y, Zhang J, Wu Q. Prevalence, abundance, serovars and antimicrobial resistance of Salmonella isolated from retail raw poultry meat in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 713:136385. [PMID: 31955074 DOI: 10.1016/j.scitotenv.2019.136385] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 12/24/2019] [Accepted: 12/26/2019] [Indexed: 06/10/2023]
Abstract
This study investigated the prevalence and levels of Salmonella contamination of retail raw poultry meat in China, and examined serovar distribution and antimicrobial susceptibility profiles of the recovered isolates. In total, 664 poultry meat samples were collected from retail markets in 39 cities across China. Salmonella was isolated from 249 (37.5%) samples, including 190 (36.7%) chicken, 48 (40.7%) duck and 11 (39.2%) pigeon samples. The most probable number (MPN) values of 36.1% of the positive samples ranged from 0.3 to 10 MPN/g, with three samples exceeding 110 MPN/g. Among the 667 Salmonella isolates, 35 serovars and 42 multilocus sequence typing patterns were identified. Predominant serovars included Salmonella enterica serovar Enteritidis (32.7%), Salmonella enterica serovar Indiana (14.2%) and Salmonella enterica serovar Typhimurium (11.9%), while two novel STs were identified (ST7352 and ST7612). Except for one unnamed strain (4,12:d:-), all of the identified serovars have previously been linked to human infections. Antimicrobial susceptibility testing of the 318 non-duplicate isolates revealed that only 5 (1.6%) were susceptible to all 22 tested antimicrobials, while 191 (60.1%) exhibited resistance to at least three classes of antimicrobials. The highest levels of resistance were observed for nalidixic acid (72.3%), followed by ampicillin (55.3%) and streptomycin (48.7%). Of particular concern was the detection of highly multidrug-resistant Salmonella enterica serovar Indiana isolates, most (84.1%) of which showed co-resistance to ciprofloxacin and ceftriaxone. Overall, our findings showed a high prevalence of Salmonella contamination of retail raw poultry meat, which could expose consumers to multidrug-resistant isolates. This study provides comprehensive data for evaluation of new control measures for Salmonella contamination of poultry.
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Affiliation(s)
- Xiaojuan Yang
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Jiahui Huang
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Youxiong Zhang
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Shengrong Liu
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Ling Chen
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Chun Xiao
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Haiyan Zeng
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Xianhu Wei
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Qihui Gu
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Ying Li
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Juan Wang
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Yu Ding
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Jumei Zhang
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China
| | - Qingping Wu
- Guangdong Institute of Microbiology Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangzhou 510070, China.
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Ferrari RG, Rosario DKA, Cunha-Neto A, Mano SB, Figueiredo EES, Conte-Junior CA. Worldwide Epidemiology of Salmonella Serovars in Animal-Based Foods: a Meta-analysis. Appl Environ Microbiol 2019; 85:e00591-19. [PMID: 31053586 PMCID: PMC6606869 DOI: 10.1128/aem.00591-19] [Citation(s) in RCA: 262] [Impact Index Per Article: 52.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 04/25/2019] [Indexed: 01/27/2023] Open
Abstract
Salmonella spp. are among the most important foodborne pathogens and the third leading cause of human death among diarrheal diseases worldwide. Animals are the primary source of this pathogen, and animal-based foods are the main transmission route to humans. Thus, understanding the global epidemiology of Salmonella serovars is key to controlling and monitoring this bacterium. In this context, this study aimed to evaluate the prevalence and diversity of Salmonella enterica serovars in animal-based foods (beef, pork, poultry, and seafood) throughout the five continents (Africa, the Americas [North and Latin America], Asia, Europe, and Oceania). The meta-analysis consisted of a chemometric assessment (hierarchical cluster analysis and principal component analysis) to identify the main epidemiological findings, including the prevalence and diversity of the Salmonella serovars in each matrix. Regarding the serovar distribution, S Typhimurium presented a cosmopolitan distribution, reported in all four assessed matrices and continents; poultry continues to play a central role in the dissemination of the Enteritidis serovar to humans, and Anatum and Weltevreden were the most frequently found in beef and seafood, respectively. Additionally, we recommended careful monitoring of certain serovars, such as Derby, Agona, Infantis, and Kentucky. Finally, given the scientific data regarding the most frequently reported serovars and which matrices constitute the main vehicles for the transmission of this pathogen, control programs may be improved, and specific interventions may be implemented in an attempt to reduce the risk of this pathogen reaching humans.IMPORTANCE Salmonellosis is caused by Salmonella spp. and is the third leading cause of death among food-transmitted diseases. This pathogen is commonly disseminated in domestic and wild animals, and the infection's symptoms are characterized by acute fever, nausea, abdominal pain, and diarrhea. The animals are the primary source of salmonellae, and animal-based foods are the main transmission route to humans. Therefore, data collected from these sources could contribute to future global interventions for effective control and surveillance of Salmonella along the food chain. In light of this, the importance of our research is in identifying the prevalence of Salmonella serovars in four animal-based food matrices (pork, poultry, beef, and seafood) and to evaluate the importance that each matrix has as the primary source of this pathogen to humans.
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Affiliation(s)
- Rafaela G Ferrari
- Molecular and Analytical Laboratory Center, Department of Food Technology, Faculty of Veterinary, Federal Fluminense University, Niterói, Brazil
- Post Graduate Program in Food Science Program, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Denes K A Rosario
- Molecular and Analytical Laboratory Center, Department of Food Technology, Faculty of Veterinary, Federal Fluminense University, Niterói, Brazil
- Post Graduate Program in Food Science Program, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Adelino Cunha-Neto
- Molecular and Analytical Laboratory Center, Department of Food Technology, Faculty of Veterinary, Federal Fluminense University, Niterói, Brazil
- Nutrition, Food and Metabolism Program, Nutrition Faculty, Federal University of Mato Grosso, Cuiabá, Brazil
| | - Sérgio B Mano
- Molecular and Analytical Laboratory Center, Department of Food Technology, Faculty of Veterinary, Federal Fluminense University, Niterói, Brazil
| | - Eduardo E S Figueiredo
- Animal Science Program, Faculty of Agronomy and Animal Science, Federal University of Mato Grosso, Cuiabá, Brazil
- Nutrition, Food and Metabolism Program, Nutrition Faculty, Federal University of Mato Grosso, Cuiabá, Brazil
| | - Carlos A Conte-Junior
- Molecular and Analytical Laboratory Center, Department of Food Technology, Faculty of Veterinary, Federal Fluminense University, Niterói, Brazil
- Post Graduate Program in Food Science Program, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- National Institute of Health Quality Control, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
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Tiba-Casas MR, Sacchi CT, Gonçalves CR, Almeida EA, Soares FB, de Jesus Bertani AM, Fernandes SA, de Paula Eduardo MB, Camargo CH. Molecular analysis of clonally related Salmonella Typhi recovered from epidemiologically unrelated cases of typhoid fever, Brazil. Int J Infect Dis 2019; 81:191-195. [PMID: 30849581 DOI: 10.1016/j.ijid.2019.02.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 02/08/2019] [Accepted: 02/09/2019] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The primary method of molecular subtyping for the identification and investigation of outbreaks has been pulsed-field gel electrophoresis (PFGE). In some cases, this technique has not been able to show discrimination between the unrelated strains that can be achieved by whole genome sequencing (WGS). METHODS The aim of this study was to determine the strengths and drawbacks of WGS using different analytic approaches compared to traditional typing method, PFGE, for retrospectively typing clusters cases of 28 S. Typhi. RESULTS We evaluated three analytical approaches on the WGS data set (Nucleotide Difference (ND), (SNPs) and Whole genome multi locus sequence typing (wgMLST) that identically classified the clusters-related strains into two clusters, cluster A (with strains from 2017), and Cluster B (with strains from 2007). CONCLUSIONS In this study WGS based typing, was able to compete with PFGE for differentiation of the clusters of S. Typhi strains.
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