Characterization of the Salmonella enterica Serotype Isangi Isolated from Patients for the First Time in China

Genomic Characterization of Salmonella Isangi: A Global Perspective of a Rare Serovar

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.

The rare Salmonella enterica serovar Isangi: genomic characterization of the antimicrobial resistance, virulence potential and epidemiology of Brazilian strains in comparison to global isolates

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.

Integrated Whole-Genome Sequencing Infrastructure for Outbreak Detection and Source Tracing of Salmonella enterica Serotype Enteritidis

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.

Whole-genome sequencing analysis and CRISPR genotyping of rare antibiotic-resistant Salmonella enterica serovars isolated from food and related sources

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, bla_CMY-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 bla_CMY-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.

Nosocomial cross-infection of hypervirulent Listeria monocytogenes sequence type 87 in China

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.

Prevalence, abundance, serovars and antimicrobial resistance of Salmonella isolated from retail raw poultry meat in China

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.

Worldwide Epidemiology of Salmonella Serovars in Animal-Based Foods: a Meta-analysis

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.

Molecular analysis of clonally related Salmonella Typhi recovered from epidemiologically unrelated cases of typhoid fever, Brazil

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.