The Salmonella In Silico Typing Resource (SISTR): An Open Web-Accessible Tool for Rapidly Typing and Subtyping Draft Salmonella Genome Assemblies

A global atlas and drivers of antimicrobial resistance in Salmonella during 1900-2023

Although previous studies using phenotypic or/and genomic approaches monitoring have revealed the spatiotemporal distribution of antimicrobial resistance (AMR) in Salmonella in local areas, their geographical patterns and driving factors remain largely unknown at a global scale. Here, we performed an analysis of publicly available data of 208,233 Salmonella genomes in 148 countries/regions between 1900 and 2023 and explored driving indicators of AMR. Overall, we found that the geographic distribution of AMR varied depending on the location, source, and serovar. The proportion of AMR levels increased across six continents, especially in serovars Agona, Dublin, I 1,4,[5],12:i:-, Muenchen, Senftenberg, Mbandaka mainly from chickens, food, wild animals, and the environment, while decreased in Schwarzengrund and Saintpaul mainly from cattle, pigs, and turkeys. We also found that S. Typhimurium exhibiting macro, red, dry, and rough was detected as early as 1992 in the USA, earlier than in China. Moreover, we identified that antibiotic consumption, agriculture, climate, urban, health, and socioeconomic factors contribute to the development of AMR in Salmonella. We present a globally high-resolution genetic atlas of Salmonella and also identify some factors driving the rise of AMR, which can provide valuable information for understanding the transmission dynamics and evolutionary trajectories of Salmonella.

Multi-country and intersectoral assessment of cluster congruence between pipelines for genomics surveillance of foodborne pathogens

Different laboratories employ different Whole-Genome Sequencing (WGS) pipelines for Food and Waterborne disease (FWD) surveillance, casting doubt on the comparability of their results and hindering optimal communication at intersectoral and international levels. Through a collaborative effort involving eleven European institutes spanning the food, animal, and human health sectors, we aimed to assess the inter-pipeline clustering congruence across all resolution levels and perform an in-depth comparative analysis of cluster composition at outbreak level for four important foodborne pathogens: Listeria monocytogenes, Salmonella enterica, Escherichia coli, and Campylobacter jejuni. We found a general concordance between allele-based pipelines for all species, except for C. jejuni, where the different resolution power of allele-based schemas led to marked discrepancies. Still, we identified non-negligible differences in outbreak detection and demonstrated how a threshold flexibilization favors the detection of similar outbreak signals by different laboratories. These results, together with the observation that different traditional typing groups (e.g., serotypes) exhibit a remarkably different genetic diversity, represent valuable information for future outbreak case-definitions and WGS-based nomenclature design. This study reinforces the need, while demonstrating the feasibility, of conducting continuous pipeline comparability assessments, and opens good perspectives for a smoother international and intersectoral cooperation towards an efficient One Health FWD surveillance.

Unravelling the Persistence of the Rare Serovar Salmonella Mikawasima in a Hospital Setting: A Whole-Genome Sequencing Study

Salmonella Mikawasima is a rare, mainly environmental serovar. In 2020, an outbreak was observed in neonatal and maternal wards of the University Hospital of Split and was established as an endemic until the end of 2024. Using whole-genome sequencing, this study aimed to analyse the phenotypic and genotypic characteristics of S. Mikawasima isolates and to elaborate whether the spread of the same clone occurred. Sequenced isolates were classified as ST2030, with the presence of aminoglycoside and extended spectrum beta-lactam resistance genes. Ten percent of the sequenced isolates exhibit multi-drug resistance. Identified virulence factors that include biofilm formation genes suggest the potential persistence of S. Mikawasima in the hospital environment, while spatial and temporal analysis reveal clonal expansion and possible horizontal transmission between different hospital wards. This study provides a deep understanding of the genomic composition of S. Mikawasima and emphasises the need for more stringent infection prevention measures, especially in vulnerable neonatal and postpartum settings, to mitigate the risk of healthcare-associated infections, and it should be followed by further microbiological and epidemiological investigations to identify the source of infection.

Broiler litter moisture and trace metals contribute to the persistence of Salmonella strains that harbor large plasmids carrying siderophores

Broiler litter sampling has proven to be an effective method for determining the Salmonella status of a broiler chicken flock and understanding the ecology of Salmonella prior to harvest. In this study, we investigated the ecology of Salmonella within the litter (n = 224) from two commercial broiler houses in the United States. We employed culture enrichment methods and quantitative polymerase chain reaction to determine the prevalence and load of Salmonella and utilized antimicrobial susceptibility testing and whole-genome sequencing (WGS) to characterize select isolates. Additionally, we applied machine learning algorithms and in vitro experiments to identify environmental selective pressures that may contribute to the persistence of Salmonella in litter. Our findings indicate that the prevalence and abundance of Salmonella in broiler litter are influenced by the downtime between flocks as well as by the flock raised on the litter. A Decision Tree Classifier model developed demonstrated that the moisture in the caked part of litter was the most influential environmental parameter for predicting the prevalence of viable Salmonella. WGS analysis revealed that Typhimurium, Infantis, and Kentucky strains that harbored large self-conjugative plasmids encoding fitness factors for iron siderophore production were the dominant Salmonella population found in litter, and exposure to iron-limiting and copper-enriched culture media affected Salmonella growth. Our results suggest that trace metals may select for siderophores harbored on plasmids, and interventions that reduce litter moisture can potentially curtail the persistence of Salmonella in pre-harvest environments.IMPORTANCEBroiler chicken meat is the most consumed protein worldwide, and global poultry imports are projected to reach 17.5 million tons by 2031. To raise billions of chickens, litter is reused multiple times by the top global producers and exporters of chicken (Brazil and the United States). Chickens are in continuous contact with litter and depend on it for warmth and coprophagy. Consequently, litter serves as a major route for pathogens such as Salmonella to infect chickens, making it crucial to understand the environmental and genetic selective pressures that might explain why certain Salmonella strains persist on broiler farms more than others. In this study, we demonstrated that Salmonella strains that harbored siderophores on large conjugative plasmids persisted in litter and suggested that reducing litter moisture would significantly control Salmonella prevalence. However, a complete eradication of persisting Salmonella strains will require novel, innovative, and multifaceted approaches.

Salmonella enterica serovar Braenderup shows clade-specific source associations and a high proportion of molecular epidemiological clustering

Salmonella enterica serovar Braenderup (S. enterica ser. Braenderup) is an important clinical serovar in the United States. This serovar was reported by the CDC in 2017 as the fifth most common Salmonella enterica serovar associated with outbreaks in the United States, which have been linked to both fresh produce and food animal products. The goals of this study were to compare the relatedness of human clinical isolates from southeastern USA (Tennessee (n = 106), Kentucky (n = 48), Virginia (n = 252), South Carolina (n = 109), Georgia (n = 159), Alabama (n = 8), Arkansas (n = 26), and Louisiana (n = 91)) and global clinical (n = 5,153) and nonclinical (n = 1,053) isolates obtained from the NCBI. Additionally, we also examined the population structure of S. enterica ser. Braenderup strains (n = 3,131) on EnteroBase and found that all the strains of this serovar are associated with a single cgMLST eBurst group (ceBG 185), confirming that this serovar is monophyletic. We divided the S. enterica ser. Braenderup population into two clades (Clade I and Clade II) and one clade group (Clade Group III). The composition of distinct environmental isolates in the clades differed: Clade I was significantly associated with produce (90.7%; P < 0.0001) and water, soil, and sediment (76.9%; P < 0.0001), and Clade II was significantly associated with poultry environments (62.8%; P < 0.0001). The clade-specific gene associations (e.g., Clade I-associated competence proteins and cytochrome_c_asm protein and Clade II-associated heme-exporter protein and dimethyl sulfoxide [DMSO] reductase-encoding genes) provide potential insights into possible mechanisms driving environmental adaptation and host-pathogen interaction. Phylogenetic analyses identified 218 molecular epidemiological clusters in the current study, which represented a greater proportion of potentially outbreak-related isolates than previously estimated.

IMPORTANCE

This study provides insights into the genomic diversity of S. enterica ser. Braenderup by revealing distinct clade-specific source attribution patterns and showing that a greater proportion of isolates were associated with epidemiological clusters based on the genomic relatedness than previously estimated. Specifically, we analyzed the diversity of human clinical isolates from southeastern USA and compared them with the global clinical and nonclinical isolates. Our analysis showed different clades of S. enterica ser. Braenderup linked to different environments, providing insights on the potential source of human sporadic infection and outbreaks. These findings can enhance public health surveillance and response strategies targeting S. enterica serovar Braenderup by expanding our understanding of potential transmission pathways and the genomic diversity of clinical and environmental isolates.

Temporality and Genetic Relatedness of Salmonella in a Pork Processing Facility

The goal of this study was to investigate the prevalence and genetic relatedness of Salmonella enterica in meat and contact surfaces from two processing lines at a pork processing plant over a commercial production schedule. Across 192 samples, there was no significant difference in Salmonella prevalence between Bootjack Trim (BJ) and Boston Butt Trim (BBT) meat (11.5% vs. 11.5%, P = 1.0), though prevalence was higher in meat than on contact surfaces for both the BJ (11.5% vs. 0%, P = 0.01) and BBT (11.5% vs. 3.1%, P = 0.08) processing lines. Both Salmonella prevalence and identified serotypes clustered within four distinct processing windows that spanned multiple dates and processing lines. Phylogenetic analysis using core single nucleotide polymorphisms (SNPs) identified a highly related Salmonella I4,[5],12:i:- strain (N = 33, 0-2 SNPs difference across all isolates) in both the BJ and BBT lines, persisting over consecutive days within one processing window. Similarly, a highly related Salmonella London strain (N = 18, 0-1 SNPs) was found across both processing lines on three processing dates that spanned 28 days. Additional highly related strains of Salmonella Typhimurium (N = 8, 0-1 SNPs) and Salmonella Agona (N = 7, 0-3 SNPs) were also detected across multiple dates. Strains of S. I4,[5],12:i:- and S. London were genetically distinct (>30 SNPs) from publicly available genomes from isolates obtained from other pork processing plants located in the Upper Midwest. Overall, findings suggested that Salmonella prevalence varies across processing lines and production schedules. However, the high phylogenetic relatedness among the Salmonella serotypes suggests a common source may have been present prior to each primal cut being processed into subprimal cuts.

Genomic census of invasive nontyphoidal Salmonella infections reveals global and local human-to-human transmission

Extraintestinal infections caused by Enterobacteriaceae represent a global concern, further exacerbated by the growing prevalence of antimicrobial resistance (AMR). Among these, invasive nontyphoidal Salmonella (iNTS) infections have become increasingly challenging to manage, and their global spread remains poorly understood. Here we compiled 1,115 patient records and generated a comprehensive genomic dataset on iNTS. Age and sex emerged as significant risk factors, with Salmonella Enteritidis identified as a major cause. We observed serovar-specific AMR patterns, with notable resistance to fluoroquinolones and third-generation cephalosporins. A global phylogenomic analysis of Enteritidis revealed three distinct clades, highlighting the accumulation of AMR determinants during its international spread. Importantly, our genomic and transmission analyses suggest that iNTS infections may involve human-to-human transmission, with diarrheal patients acting as potential intermediaries, deviating from typical zoonotic pathways. Collectively, our newly generated cohort and iNTS genomic dataset provide a framework for precise local iNTS burden and underscore emerging transmission trends.

Molecular epidemiology of Salmonella Enteritidis in humans and animals in Spain

Salmonella Enteritidis, the most prevalent serovar-causing human gastroenteritis, has been traditionally linked to poultry sources. Although antimicrobial resistance (AMR) is not common in this serovar, increasing levels of resistance to fluoroquinolones and ampicillin have been reported in the last few years. Here, 298 isolates retrieved from different sources (human, livestock, wildlife, food, and environment) and years (2002-2021) in Spain were analyzed to evaluate their diversity, the distribution of AMR-conferring genes (ARGs), and mutations and reconstruct the epidemiology of infection due to this serovar. Isolates were clustered in two major clades (I and II), with strains in clade I (including 61.5% of all human isolates) displaying a pan-susceptible phenotype and not carrying AMR determinants. In contrast, clade II included 80.7% of isolates from animal/food/environmental sources, with the majority (69.8%) harboring mutations in the quinolone resistance determinant regions (QRDR). ARGs, although rare, were mostly found in clade II strains that also carried plasmid replicons, among which IncX1 was the most common. Although higher levels of phenotypic resistance were found in animal isolates, extended-spectrum beta-lactamase, plasmid-mediated AmpC, and carbapenemase-encoding genes were only found among human isolates. In summary, the majority of human and animal isolates from Spanish sources in our collection were classified in different phylogenetic branches, suggesting that additional sources are contributing to the occurrence of foodborne infections in Spain. Furthermore, the different distributions of virulence factors and ARGs in isolates from different sources and their association with specific plasmids suggest the presence of different dynamics contributing to the selection of resistant strains.

Genomic epidemiology and antimicrobial resistance reveal local transmission dynamics of enteric fever in Shenzhen, one of the mega cities in China

OBJECTIVES

Outbreak of enteric fever and the spread of antimicrobial-resistant Salmonella Typhi and S. Paratyphi pose significant public health challenges in low- and middle-income countries. Understanding the transmission dynamics of these pathogens is essential for developing effective control strategies.

METHODS

We conducted phylogenomic analyses and integrated epidemiological data from 135 S. Typhi and 271 S. Paratyphi A isolates collected in Shenzhen from 2001 to 2017. Phylogenetic and temporal analyses were performed to identify prevalent genotypes and assess transmission patterns.

RESULTS

Analyses of S. Typhi isolates in Shenzhen revealed high genetic diversity, with genotypes 3.2.1 (37.8%) and 2.1.7 (20%) being most prevalent. Genotype 3.2.1 formed an independent lineage due to mutations in the quinolone resistance-determining region (QRDR). The multidrug-resistant haplotype 58 (genotype 4.3.1) has been present since 2006. S. Paratyphi A isolates were predominantly genotype 2.3.3 (98.5%). Pathogen exchange occurred with at least four other provinces. A cutoff of ≤3 single nucleotide polymorphisms (SNPs) was effective for outbreak investigation, and 22 genomic clusters were found, suggesting undetected outbreaks or transmission events. While 80% of isolates were susceptible to first-line antibiotics, 16.9% of S. Paratyphi A isolates were multidrug-resistant.

CONCLUSIONS

This study provides insights into the transmission dynamics of enteric fever in Shenzhen, underscoring the need for ongoing genomic surveillance to manage and control outbreaks effectively.

Salmonella serotypes in the genomic era: simplified Salmonella serotype interpretation from DNA sequence data

In the era of genomic characterization of strains for public health microbiology, whole genome sequencing (WGS)-enabled subtyping of Salmonella provides superior discrimination of strains compared to traditional methods such as serotyping. Nonetheless, serotypes are still very useful; they maintain historical continuity and facilitate clear communication. Genetic determination of serotypes from WGS data is now routine. Genetic determination of rarer serotypes can be problematic due to a lack of sequences for rare antigen types and alleles, a lack of understanding of the genetic basis for some antigens, or some inconsistencies in the White-Kauffmann-Le Minor (WKL) Scheme for Salmonella serotype designation. Here, we present a simplified interpretation of serotypes to address the shortcomings of genetic methods, which will allow the streamlined integration of serotype determination into the WGS workflow. The simplification represents a consensus perspective among major U.S. public health agencies and serves as a WGS-oriented interpretation of the WKL Scheme. We also present SeqSero2S, a bioinformatics tool for WGS-based serotype prediction using the simplified interpretation.IMPORTANCEThe utility of Salmonella serotyping has evolved from a primary subtyping method, where the need for strain discrimination justified its complexity, to a supplemental subtyping scheme and nomenclature convention, where clarity and simplicity in communication have become important for its continued use. Compared to phenotypic methods like serotyping, whole genome sequencing (WGS)-based subtyping methods excel in recognizing natural populations, which avoids grouping together strains from different genetic backgrounds or splitting genetically related strains into different groups. This simplified interpretation of serotypes addresses a shortcoming of the original scheme by combining some serotypes that are known to be genetically related. Our simplified interpretation of the White-Kauffmann-Le Minor (WKL) Scheme facilitates a complete and smooth transition of serotyping's role, especially from the public health perspective that has been shaped by the routine use of WGS.

Stool carriage of CTX-M/CMY-producing Salmonella enterica in a Chinese tertiary hospital in Shenzhen, China

Salmonellosis, caused by non-typhoidal Salmonella, is a common foodborne gastrointestinal infection. Third-generation cephalosporins are recommended as the first-line treatment for Salmonella infections. Our study aimed to investigate the molecular epidemiology, antimicrobial resistance, and the transmission of extended-spectrum β-lactamases (ESBL) genes in 96 clinical Salmonella isolates collected between 2020 and 2022 at a tertiary hospital in Shenzhen, China. We performed antimicrobial susceptibility testing and whole-genome sequencing to identify serotypes, multilocus sequence typing, antimicrobial resistance genes in these isolates, and the genetic structures of the bla CTX-M/bla CMY genes. Seventeen Salmonella serotypes were identified, with S. 4,[5],12:i:- (37.5%) being the most common, followed by S. Enteritidis (15.63%), S. Typhimurium (14.58%), S. London (7.29%), and S. Rissen (5.21%). MLST analysis revealed 19 distinct sequence types (STs), with ST34 being the most prevalent (36.46%), followed by ST11 (15.63%) and ST19 (13.54%). Antimicrobial resistance testing showed those isolates had high levels of resistance to ampicillin (72.92%) and tetracycline (71.88%), with 70.83% of isolates as multidrug-resistant (MDR). Three bla CTX-M genes (bla CTX-M-14, bla CTX-M-55, and bla CTX-M-65) and bla CMY-2 were identified among 18 cefotaxime-resistant strains, of which one and 12 isolates successfully transferred bla CMY or bla CTX-M to E. coli C600 via conjugation, respectively. The bla CTX-M/bla CMY-2-carrying contigs in nine Salmonella isolates ranged from 2,156 to 164,862 bp, were located either on the chromosome (n=1) or plasmids (IncI1, IncK1, IncA/C) (n=9), and the bla CTX-M/bla CMY-2 genes were associated with ISEcp1. Our study demonstrates the diversity of MDR Salmonella serotypes in clinical isolates, and highlights the role of plasmids and mobile genetic elements in the horizontal transfer of bla CTX-M/bla CMY, emphasizing the need for continuous surveillance of Salmonella in clinical samples.

Machine learning reveals the dynamic importance of accessory sequences for Salmonella outbreak clustering

Bacterial typing at whole-genome scales is now feasible owing to decreasing costs in high-throughput sequencing and the recent advances in computation. The unprecedented resolution of whole-genome typing is achieved by genotyping the variable segments of bacterial genomes that can fluctuate significantly in gene content. However, due to the transient and hypervariable nature of many accessory elements, the value of the added resolution in outbreak investigations remains disputed. To assess the analytical value of bacterial accessory genomes in clustering epidemiologically related cases, we trained classifiers on a set of genomes collected from 24 Salmonella enterica outbreaks of food, animal, or environmental origin. The models demonstrated high precision and recall on unseen test data with near-perfect accuracy in classifying clonal and short-term outbreaks. Annotating the genomic features important for cluster classification revealed functional enrichment of molecular fingerprints in genes involved in membrane transportation, trafficking, and carbohydrate metabolism. Importantly, we discovered polymorphisms in mobile genetic elements (MGEs) and gain/loss of MGEs to be informative in defining outbreak clusters. To quantify the ability of MGE variations to cluster outbreak clones, we devised a reference-free tree-building algorithm inspired by colored de Bruijn graphs, which enabled topological comparisons between MGE and standard typing methods. Systematic evaluation of clustering MGEs on an unseen dataset of 34 Salmonella outbreaks yielded mixed results that exemplified the power of accessory sequence variations when core genomes of unrelated cases are insufficiently discriminatory, as well as the distortion of outbreak signals by microevolution events or the incomplete assembly of MGEs.

IMPORTANCE

Gene-by-gene typing is widely used to detect clusters of foodborne illnesses that share a common origin. It remains actively debated whether the inclusion of accessory sequences in bacterial typing schema is informative or deleterious for cluster definitions in outbreak investigations due to the potential confounding effects of horizontal gene transfer. By training machine learning models on a curated set of historical Salmonella outbreaks, we revealed an enriched presence of outbreak distinguishing features in a wide range of mobile genetic elements. Systematic comparison of the efficacy of clustering different accessory elements against standard sequence typing methods led to our cataloging of scenarios where accessory sequence variations were beneficial and uninformative to resolving outbreak clusters. The presented work underscores the complexity of the molecular trends in enteric outbreaks and seeks to inspire novel computational ways to exploit whole-genome sequencing data in enteric disease surveillance and management.

Genomic epidemiology and public health implications of zoonotic monophasic Salmonella Typhimurium ST34

Background

Monophasic Salmonella Typhimurium sequence type 34 (mSTM ST34) has emerged as a significant global health threat, but our understanding of its genomic epidemiology and potential public health implications in international and regional contexts remains limited. This study aims to fill this crucial gap by assessing the genomic epidemiology of multidrug resistance (MDR) mSTM ST34, as well as its clinical characteristics and virulence.

Methods

To achieve the objectives of this study, we conducted a comprehensive genomic analysis of mSTM ST34 isolates. We obtained a global dataset comprising 13,844 strains from public databases, along with 339 strains from a regional surveillance collection in Zhejiang Province, China. This dataset aims to provide in-depth insights into antimicrobial resistance, mobile genetic elements, and pathogenicity. Additionally, we meticulously assessed the association between phenotypic profiles and clinical presentations.

Results

Our findings revealed that the prevalence of mSTM ST34 has surpassed that of the previously dominant ST19. In addition, we observed an increase in the detection of the IncQ1 plasmid, which is responsible for disseminating MDR. The prevalence of mSTM ST34 carriage was exceptionally high among children (≤12 years old) and elderly individuals (≥65 years old), with 92.6% of the isolates exhibiting MDR, including resistance to frontline antimicrobials such as third-generation cephalosporins and ciprofloxacin. Additionally, the human mSTM ST34 strain demonstrates a remarkable capacity for biofilm formation, which increases its virulence in animal models and complicates therapeutic interventions.

Conclusions

mSTM ST34 has surpassed the previously dominant ST19, and its ability to transmit across multi-species increases its potential for further human transmission. This study addresses critical gaps in our understanding of mSTM ST34 prevalence, highlighting the importance of whole genome sequencing in surveilling zoonotic pathogens.

Whole-genome sequence of Salmonella enterica subsp. diarizonae serovar 17: l,v:z: a new serovar isolated from a nose-horned viper in Republic of Serbia

We report the draft genome sequence of Salmonella enterica subsp. diarizonae serovar 17: l,v:z isolated from a nose-horned viper (Vipera ammodytes) in Republic of Serbia which might be considered a new serovar of Salmonella.

Avian-specific Salmonella transition to endemicity is accompanied by localized resistome and mobilome interaction

Bacterial regional demonstration after global dissemination is an essential pathway for selecting distinct finesses. However, the evolution of the resistome during the transition to endemicity remains unaddressed. Using the most comprehensive whole-genome sequencing dataset of Salmonella enterica serovar Gallinarum (S. Gallinarum) collected from 15 countries, including 45 newly recovered samples from two related local regions, we established the relationship among avian-specific pathogen genetic profiles and localization patterns. Initially, we revealed the international transmission and evolutionary history of S. Gallinarum to recent endemicity through phylogenetic analysis conducted using a spatiotemporal Bayesian framework. Our findings indicate that the independent acquisition of the resistome via the mobilome, primarily through plasmids and transposons, shapes a unique antimicrobial resistance profile among different lineages. Notably, the mobilome-resistome combination among distinct lineages exhibits a geographical-specific manner, further supporting a localized endemic mobilome-driven process. Collectively, this study elucidates resistome adaptation in the endemic transition of an avian-specific pathogen, likely driven by the localized farming style, and provides valuable insights for targeted interventions.

Rapid Detection of Salmonella Typhimurium During Cell Attachment on Three Food-Contact Surfaces Using Long-Read Sequencing

Salmonella spp. are pathogenic microorganisms linked to foodborne outbreaks associated with eggs and egg products. Salmonella can resist sanitation of egg processing equipment and form biofilms on food-contact surfaces. A major challenge for controlling Salmonella is the ability to detect the cells during the early stages of attachment to indicate that interventions are needed to sanitize the surface. This research investigated the use of long-read sequencing to identify Salmonella during the early stages (0-5 h) of cell attachment to three common food-contact surfaces-stainless steel, silicone, and nylon-and compared it with traditional microbiological methods. Results of the conventional plate counts showed that the detection of Salmonella began after three hours of incubation, with less than 1 log CFU/cm2 of growth. Silicone had the highest number of Salmonella attached (0.87 log CFU/cm2), followed by stainless steel (0.70 log CFU/cm2). Long-read whole genome sequencing identified attached Salmonella on stainless steel, silicone, and nylon after only one hour of incubation. The results of this study suggest that long-read sequencing could be a very useful method for detecting Salmonella at low concentrations in the processing environment during the early stages of cell attachment to food-contact surfaces, allowing for correct sanitation intervention.

Genomic characterization of antimicrobial-resistant Salmonella enterica in chicken meat from wet markets in Metro Manila, Philippines

The emergence of multidrug-resistant (MDR) Salmonella is recognized as a significant public health problem worldwide. This study investigated the occurrence of MDR Salmonella serovars in chicken meat from wet markets in Metro Manila, Philippines from February to July 2022. Using whole genome sequencing (WGS) and phenotypic antimicrobial resistance (AMR) testing, the serovar, drug resistance, and virulence profiles of Salmonella isolates were characterized. Out of 253 chicken cut samples, 95 S. enterica isolates representing 15 distinct serovars were recovered. The most common was S. enterica serovar Infantis (51.58%), followed by S. Brancaster (9.47%), S. Anatum (7.37%), S. London (7.37%), S. Uganda (6.32%), and S. Derby (4.21%). Phenotypic AMR testing revealed that 73.68% of the isolates were resistant to at least one drug class, and 45.26% were MDR. A wide array of antimicrobial resistance genes (ARGs) associated with resistance to 12 different drug classes was identified, including three β-lactamase gene variants: bla CTX-M-65, bla TEM-1, and bla TEM-176. Some of these ARGs were located on MDR plasmids, such as those on IncFIB(K)_1_Kpn3, IncFIA(HI1)_1_HI1, and IncX1_1. A total of 131 virulence genes were detected, some of which conferred pESI-like characteristics to S. Infantis. These findings highlight a potential public health risk posed by pathogenic MDR Salmonella in chicken meat and underscore the urgent need for further research and coordinated AMR surveillance in the Philippines, aiming to stimulate national efforts to combat AMR.

Comparative genomic analysis reveals the emergence and dissemination of different Salmonella enterica serovar Gallinarum biovar Gallinarum lineages in Brazil

RESEARCH HIGHLIGHTS

Fowl typhoid (FT) is a concerning poultry disease caused by S. Gallinarum.Five S. Gallinarum lineages (I to V) were demonstrated in South American farms.S. Gallinarum lineages have specific antimicrobial resistance / virulence genomic profiles.Main FT outbreaks in Brazil have been caused by the specific lineage II.

Molecular Epidemiology of Salmonella enterica Serotype Dublin Isolated from 2011 to 2022 from Veal and Dairy Cattle in Pennsylvania

The emergence of Salmonella enterica serotype Dublin (S. Dublin) presents significant challenges to animal and human health. We analyzed 109 S. Dublin isolates from bovine submissions to the Penn State Animal Diagnostic Laboratory between 2011 and 2022. Using whole genome sequencing, we assessed their phenotypic and genotypic resistance patterns and correlated these traits with case histories and pathology reports. Core-genome analysis identified cgSTs with similar allelic profiles between our isolates and those from the U.S. and Canada, while some cgSTs were unique to our study. Histopathologic findings suggest a predominance of respiratory and gastroenteric/hepatic lesions, aligning with the histopathological case definition for S. Dublin infection. Critically, all isolates were multidrug-resistant, particularly to ampicillin (87%), ceftiofur (89%), chlortetracycline (94%), oxytetracycline (94%), enrofloxacin (17%), florfenicol (94%), sulfadimethoxine (97%), and trimethoprim (20%). Plasmid genomic analysis unveiled distinct plasmid types including virulence, resistance, and hybrid plasmids, carrying unique compositions of virulence genes and antimicrobial resistance. These findings underscore the importance of managing calf movement to control the introduction and dissemination of new cgSTs in Pennsylvania and potentially nationwide. Furthermore, they emphasize the urgent need to mitigate S. Dublin transmission, combat antimicrobial resistance, and enhance surveillance efforts to effectively protect animal and human health.

Genomic characterization of foodborne Salmonella enterica and Escherichia coli isolates from Saboba district and Bolgatanga Municipality Ghana

Salmonella enterica and Escherichia coli are well-known bacteria commonly associated with foodborne illnesses in humans and animals. Genomic characterization of these pathogens provides valuable insights into their evolution, virulence factors and resistance determinants. This study aimed to characterized previously isolated Salmonella (n = 14) and E. coli (n = 19) from milk, meat and its associated utensils in Ghana using whole-genome sequencing. Most of the Salmonella serovars (Fresno, Plymouth, Infantis, Give and Orleans) identified in this study are yet to be reported in Ghana. Most Salmonella isolates were pan-sensitive, but genes conferring resistance to fosfomycin (fosA7.2) and tetracycline (tet(A)) were detected in one and three isolates, respectively. Seven of the Salmonella isolates carried the IncI1-I(Gamma) plasmid replicon. Although antimicrobial resistance was not common among Salmonella strains, most (11/19) of the E. coli strains had at least one resistance gene, with nearly half (8/19) being multidrug resistant and carried plasmids. Three of the 19 E. coli strains belonged to serovars commonly associated with enteroaggregative E. coli (EAEC) pathotype. While strains belonging to virulence-associated lineages lacked key plasmid-encoded virulence plasmids, several plasmid replicons were detected in most of the E. coli (14/19) strains. Food contaminated with these pathogens can serve as a vehicle for disease transmission, posing a significant public health risk and necessitating stringent food safety and hygiene practices to prevent outbreaks. Hence, there is need for continuous surveillance and preventive measures to stop the spread of foodborne pathogens and reduce the risk of associated illnesses in Ghana.

Genomic Diversity and Potential Transmission and Persistence of Salmonella in the Cambodian Vegetable Supply Chain

S. enterica isolates (n = 78) obtained from the vegetable supply chain (farms, distribution centers, markets) in two Cambodian provinces (Siem Reap, Battambang) were sequenced and analyzed. In silico identification of serotypes and detection of antimicrobial resistance genes was performed using SISTR and ABRicate, respectively. Isolates' relatedness was assessed based on high-quality single nucleotide polymorphisms (hqSNPs) identified within each serotype using the CFSAN SNP pipeline. Among 29 detected serotypes, Paratyphi B var. Java was most abundant (n = 14), followed by Hvittingfoss (n = 11) and Thompson (n = 7). Paratyphi B var. Java was mostly found in farms (n = 5) and markets (n = 6), Hvittingfoss within distribution centers (n = 8), and Thompson at markets (n = 4) and farms (n = 3). Among Paratyphi B var. Java isolates, one phylogenetic clade contained four closely related isolates (0-1 SNP difference), collected at markets in different provinces on different days. Another clade contained two isolates that differed by one SNP, one obtained from a Battambang farm and one from a Siem Reap distribution center, suggesting a broad spread of Paratyphi B var. Java in the Cambodian vegetable supply chain. Hvittingfoss isolates clustered in two clades; one contained five identical isolates, four of which were obtained in different months from the distribution center and a farm in Battambang, suggesting possible transmission among supply chain stages. The second clade contained three isolates from the Battambang distribution center that differed by 0-1 SNP and were isolated in October and November, indicating possible persistence. Lastly, among 78 analyzed isolates, 14 carried antimicrobial resistance genes and seven out of these 14 carried genes with predicted resistance to more than three classes of antibiotics. Overall, highly similar isolates of Salmonella were identified over time and at different supply chain stages, suggesting possible persistence and transmission of Salmonella within and between supply chain stages.

Antimicrobial Resistance and Zoonotic Potential of Nontyphoidal Salmonella From Household Dogs

BACKGROUND

Companion animals, like household dogs, are an overlooked transmission point for zoonotic pathogens such as nontyphoidal Salmonella (NTS). Given the proximity of dogs to humans and the use of critically important antibiotics in companion animal medicine, household dogs represent a risk for the spread of antimicrobial-resistant (AMR) Salmonella.

METHODS AND RESULTS

To this end, we aimed to leverage existing biosurveillance infrastructure to investigate AMR and the zoonotic potential of NTS isolated from dogs and humans. We identified all NTS strains isolated from domestic dogs via the Veterinary Laboratory Investigation and Response Network between May 2017 and March 2023 (N = 87), and spatiotemporally matched strains isolated from humans in the NCBI Pathogen Isolate Browser (N = 77). These 164 strains, collected from 17 states in the United States, formed the basis of our analysis. Strains isolated from dogs comprised diverse serovars, with most being clinically relevant to human health. All strains possessed AMR determinants for drug classes deemed critically or highly important by the World Health Organization. We identified sixteen NTS isolates from humans closely related to ≥1 of six dog-associated strains.

CONCLUSIONS

Collectively, our data emphasize the importance of antimicrobial stewardship and sustained biosurveillance beyond human- and agriculture-associated veterinary medicine, using a One-Health framework that accounts for all transmission points including companion animals.

Prevalence and transmission of Salmonella collected from farming to egg processing of layer production chain in Jiangsu Province, China

Salmonella is a common foodborne pathogen found in poultry production systems. Contaminated poultry products are a major source of human salmonellosis. Understanding the conditions of contamination and the genetic relationships of Salmonella in poultry production is necessary to develop effective interventions measures for controlling Salmonella transmission. Through epidemiological investigation and whole-genome sequence (WGS) analysis, this study revealed the epidemic law, drug resistance, and genetic characteristics of Salmonella in the production chain. In total, 130 (10.77 %) Salmonella strains were isolated from the collected samples, with Salmonella Enteritidis (S. Enteritidis) and S. Infantis being the predominant serotypes. WGS analysis revealed that the Sequence Type (ST) of all the 22 strains of S. Enteritidis were ST11, and 13 strains of S. Infantis were ST32. Antimicrobial resistance gene analysis showed that 95.45 % of S. Enteritidis carried strA/strB, sul, and blaTEM-1B; 77.3 % contained tetA genes; and 100 % of S. Infantis carried aac(6')-Iaa and mdf(A), which was consistent with the drug resistance phenotype. The phylogenetic tree showed that S. Enteritidis strains with different links were distributed in the same branch which displayed the very close genetic relationship. Combined with epidemiological investigations, it was found that S. Enteritidis infection begins at the chicken breeding stage and spreads vertically and horizontally along the production chain. In addition, phylogenetic tree analysis of S. Infantis showed that the genomes of 13 strains from egg products and egg collection center were very similar and belonged to the same clone cluster. It is speculated that the S. Infantis transmitted in the industrial chain is the same strain; it can spread along the industrial chain, and cross-contamination may occur. This study indicates that Salmonella contamination in the layered industrial chain is more serious and that a cloning relationship exists among the strains of different links. Therefore, more stringent measures should be taken to control Salmonella during the chicken breeding stage, and the importance of implementing good hygiene practices at every level of production should be emphasized.

Using core genome and machine learning for serovar prediction in Salmonella enterica subspecies I strains

This study presents a dual investigation of Salmonella enterica subspecies I, focusing on serovar prediction and core genome characteristics. We utilized two large genomic datasets (panX and NCBI Pathogen Detection) to test machine learning methods for predicting Salmonella serovars based on genomic differences. Among the four tested algorithms, the Random Forest model demonstrated higher performance, achieving 90.3% accuracy with the panX dataset and 95.3% with the NCBI dataset, particularly effective when trained on >50% of available data. When combined with hierarchical clustering validation, our approach achieved 100% prediction accuracy on the simulated data. Parallel analysis of panX core genome characteristics revealed that pathogenicity-related genes (including sseA, invA, mgtC, phoP, phoQ, and sitA) exhibited similar phylogenetic topologies distinct from the core genome phylogenetic tree, suggesting shared evolutionary histories. Notably, all identified core antibiotic resistance genes and virulence factors showed evidence of negative selection, indicating their essential role in bacterial survival. This study not only presents a promising machine learning-based alternative for Salmonella serovar classification, particularly valuable when analyzing newly identified serovars alongside known reference strains but also provides insights into the evolutionary dynamics of core virulence-associated genes, contributing to our understanding of Salmonella genomic architecture and pathogenicity.

Galaxy @Sciensano: a comprehensive bioinformatics portal for genomics-based microbial typing, characterization, and outbreak detection

The influx of whole genome sequencing (WGS) data in the public health and clinical diagnostic sectors has created a need for data analysis methods and bioinformatics expertise, which can be a bottleneck for many laboratories. At Sciensano, the Belgian national public health institute, an intuitive and user-friendly bioinformatics tool portal was implemented using Galaxy, an open-source platform for data analysis and workflow creation. The Galaxy @Sciensano instance is available to both internal and external scientists and offers a wide range of tools provided by the community, complemented by over 50 custom tools and pipelines developed in-house. The tool selection is currently focused primarily on the analysis of WGS data generated using Illumina sequencing for microbial pathogen typing, characterization and outbreak detection, but it also addresses specific use cases for other data types. Our Galaxy instance includes several custom-developed 'push-button' pipelines, which are user-friendly and intuitive stand-alone tools that perform complete characterization of bacterial isolates based on WGS data and generate interactive HTML output reports with key findings. These pipelines include quality control, de novo assembly, sequence typing, antimicrobial resistance prediction and several relevant species-specific assays. They are tailored for pathogens with active genomic surveillance programs, and clinical relevance, such as Escherichia coli, Listeria monocytogenes, Salmonella spp. and Mycobacterium tuberculosis. These tools and pipelines utilize internationally recognized databases such as PubMLST, EnteroBase, and the NCBI National Database of Antibiotic Resistant Organisms, which are automatically synchronized on a regular basis to ensure up-to-date results. Many of these pipelines are part of the routine activities of Belgian national reference centers and laboratories, some of which use them under ISO accreditation. This resource is publicly available for noncommercial use at https://galaxy.sciensano.be/ and can help other laboratories establish reliable, traceable and reproducible bioinformatics analyses for pathogens encountered in public health settings.

Emerging Resistance and Virulence Patterns in Salmonella enterica: Insights into Silver Nanoparticles as an Antimicrobial Strategy

BACKGROUND/OBJECTIVES

This study aims to characterize antibiotic resistance (AR) and virulence markers in Salmonella spp. isolated from Romanian outpatients' stool samples.

METHODS

In 2019, community-acquired Salmonella strains were collected and identified using MALDI-TOF mass spectrometry, antibiotic susceptibility profiles have been determined with the MicroScan system, and soluble virulence factors were evaluated using specific culture media, while biofilm formation was quantified in 96-well plates. Molecular analysis targeted resistance genes for β-lactams (e.g., blaTEM and blaSHV); tetracyclines (e.g., tet(A)); sulphonamides; and quinolones, as well as virulence genes (e.g., invA, spvC, pldA, and held). Whole-genome sequencing (WGS) was performed on 19 selected isolates. A silver nanoparticles (AgNPsol) alternative to conventional antibiotics was tested for effectiveness against multidrug-resistant (MDR) isolates.

RESULTS

From the total of 309 Salmonella isolates (65.05% from children under 4 years of age) belonging to four subtypes and four serovars, 27.86% showed resistance to at least one antibiotic, most frequently to tetracycline, ampicillin, and piperacillin. The strains frequently expressed haemolysin (67%), aesculinase (65%), and gelatinase (62%). Resistance to trimethoprim-sulfamethoxazole was encoded by the sul1 gene in 44.83% of the strains and to tetracyclines by the tet(A) gene (59.52%). The ESBL genes blaTEM, blaSHV, and blaCTX-M were detected by PCR in 16.18%, 2.91%, and 0.65% of the strains, respectively. Additionally, 98.63% of the strains carried the invA marker, with notable positive associations between blaSHV, qnrB, and sul1 with spvC.

CONCLUSIONS

The present findings revealed significant patterns in Salmonella isolates, subtypes, serovars, AR, and virulence, emphasising the need for continuous surveillance of Salmonella infections. Additionally, the potential of AgNPs as an alternative treatment option was demonstrated, particularly for paediatric S. enterica infections.

A novel approach for detecting Salmonella enterica strains frequently attributed to human illness-development and validation of the highly pathogenic Salmonella (HPS) multiplex PCR assay

Introduction

Non-typhoidal Salmonella enterica (NTS) are leading bacterial agents of foodborne illnesses and a global concern for human health. While there are over 2,600 different serovars of NTS, epidemiological data suggests that certain serovars are better at causing disease than others, resulting in the majority of reported human illnesses in the United States. To improve food safety, there is a need to rapidly detect these more pathogenic serovars to facilitate their removal from the food supply.

Methods

Addressing this need, we conducted a comparative analysis of 23 closed Salmonella genomic sequences of five serotypes. The analysis pinpointed eight genes (sseK2, sseK3, gtgA/gogA, avrA, lpfB, SspH2, spvD, and invA) that in combination, identify 7 of the 10 leading Salmonella serovars attributed to human illnesses in the US each year (i.e., Serovars of Concern or SoC). A multiplex PCR assay was developed to detect the presence of these genes, with strains amplifying five or more targets designated Highly Pathogenic Salmonella, or HPS. The utility of the resulting HPS assay for identifying SoC was examined in silico, using BLAST to determine the distribution of gene targets among closed Salmonella genome sequences in GenBank (n = 2,192 representing 148 serotypes) and by assaying 1,303 Salmonella (69 serotypes), isolated from FSIS regulatory samples.

Results and discussion

Comparison of serotypes identified by the assay as HPS, with those identified as SoC, produced an Area Under the Curve (AUC) of 92.2% with a specificity of 96% and a positive predictive value of 97.4%, indicating the HPS assay has strong ability to identify SoC. The data presented lay the groundwork for development of rapid commercial assays for the detection of SoC.

Genomic and virulent characterization of a duck-associated Salmonella serovar Potsdam from China

Salmonella, a common zoonotic pathogen, is a significant concern for public health, particularly when it contaminates animal-borne products. The potential for Salmonella to infect duck embryos and disrupt their normal development not only causes substantial economic losses for the industry but also poses a severe threat to public health. However, there is a lack of understanding about the prevalence of Salmonella in duck embryos and their potential public health implications. Our study aims to fill this gap by providing genomic features of the antimicrobial resistance and virulence potential of Salmonella isolates from dead duck embryos using whole-genome sequencing and in silico toolkits. We also sought to assess the virulent characterization of the major serovar isolates by experimental infection of chicken and duck embryos. Our investigation of 195 duck embryo eggs led to the isolation of 40 (20.51%) Salmonella strains, with Salmonella serovar Potsdam being the most prevalent serovar. Most isolates were resistant to streptomycin (57.3%) and nalidixic acid (50%). Notably, our findings demonstrated that S. Potsdam exhibited a preference for ducks over chickens, suggesting potential host specificity. Additionally, global phylogenomic analysis, incorporating 180 global genomes, revealed a predominant association of S. Potsdam with ducks, supporting an adaptive process specific to the waterfowl. This study determined Salmonella serovars and antimicrobial resistance profiles in dead duck embryos, revealing a rare Salmonella serovar Potsdam with a potential for duck adaption.

Fritz Kauffmann: innovator in microbial classification

Fritz Kauffmann (1899-1978) was a German/Danish microbiologist, who worked most of his years studying intestinal bacteria at Statens Serum Institut in Denmark. During his research, he implemented several diagnostic tools, which are still used in reference laboratories worldwide. Kauffmann was probably most known for developing the "Kauffmann-White scheme" based on the O- and flagella antigens on the surface of Salmonella. He was a visionary in his field, working at the intersection of microbiology and public health, as his research enabled proper diagnosis and tracking of diseases around the world.

Potential links between human bloodstream infection by Salmonella enterica serovar Typhimurium and international transmission to Colombia

Salmonella enterica serovar Typhimurium is a prevalent food-borne pathogen that is usually associated with gastroenteritis infection. S. Typhimurium is also a major cause of bloodstream infections in sub-Saharan Africa, and is responsible for invasive non-typhoidal Salmonella (iNTS) disease. The pathogen also causes bloodstream infection in Colombia, but there has been a lack of information about the S. Typhimurium isolates that were responsible. Here, we investigated the genomic characteristics of 270 S. Typhimurium isolates from bloodstream infection patients in Colombia, collected between 1997 and 2017. We used whole-genome sequencing to analyse multidrug-resistant (MDR) profiles, plasmid distribution, and to define phylogenetic relationships. The study identified the distinct sequence types and phylogenetic clusters of S. Typhimurium prevalent in Colombia. The majority of isolates (90.8%) were ST19, which is distinct from the iNTS-associated S. Typhimurium in sub-Saharan Africa (ST313). The two prominent clusters of MDR S. Typhimurium were either DT104 or closely related to the LT2 reference strain. We used a phylogenetic approach to associate the Colombian clusters with global S. Typhimurium isolates from public databases. By putting the Colombian S. Typhimurium isolates in the context of the global spread of DT104, ST313 and LT2-related variants, we found that the Colombian clusters were introduced to the country via multiple independent events that were consistent with international transmission. We suggest that the acquisition of quinolone and chloramphenicol resistance by the Colombian S. Typhimurium isolates was driven by horizontal gene transfer. Three ST313 isolates that caused bloodstream infection in Colombia were identified. These ST313 isolates were related to the Malawian ST313 lineage 3 & UK ST313, and shared a similarly high invasiveness index. To our knowledge, this is the first report of ST313 in Colombia.

Genomic characterization of antimicrobial-resistance and virulence factors in Salmonella isolates obtained from pig farms in Antioquia, Colombia

BACKGROUND

Occurrence of antimicrobial-resistant Salmonella strains has been reported worldwide, because of inappropriate use of antimicrobial products in either humans or animals. The presence of multidrug resistant Salmonella in pig production systems had been reported in Antioquia, Colombia.

AIM

To identify antimicrobial resistance genes (ARG) in different Salmonella spp. strains isolated from pig productions in Antioquia, Colombia. Methods: Samples were received at the Diagnostic Unit of the Faculty of Agrarian Sciences at the University of Antioquia, from January 1, 2019, to January 2021. A total of 28 isolates of Salmonella spp. were included, which presented phenotypic resistance to more than one antibiotic used in pig farms. Whole genome sequencing (WGS) was performed in the Unit of Genomic of Agrosavia using an automated pipeline from the GHRU- Sanger Institute, employing the Illumina MiSeq platform.

RESULTS

WGS revealed 34 ARGs among these isolates. In 25 isolates (89%) more than two ARGs were found. Genes encoding resistance were found for 10 different groups of antibiotics (beta-lactam, aminoglycosides, chloramphenicol, rifampicins, lincosamides, fluoroquinolones, tetracyclines, sulfonamides and trimethoprim). The most frequently observed MDR profile in Typhimurium isolates was AMP-CEX-CEP-CEF-EFT-CEQ-FLU-ENR-TE-FFC-SXT.

CONCLUSION

The presence of multi-drug resistant Salmonella strains in pigs destined for human consumption in Antioquia, Colombia was determined. This research emphasizes the utmost importance of epidemiological tools to understand the presence and spreading of antimicrobial resistance genes in pig farms. Additionally, it highlights the critical need for developing educational programs and public policies to help reduce the spread of antimicrobial resistance in production systems.

The Prevalence and the Underlying Mechanisms of Fosfomycin Resistance of Escherichia coli and Salmonella spp. Among Cattle in Japan

To investigate fosfomycin resistance rates in cattle across Japan, we carried out susceptibility tests. To identify the genes contributing to fosfomycin resistance, we performed whole-genome sequencing on the fosfomycin-resistant strains. Escherichia coli were sampled from healthy cattle (n = 292, combined total from 2017, 2020, 2021, and 2022) and diseased cattle (n = 73, from 2021 to 2022). Salmonella spp. were obtained from diseased cattle (n = 74 from 2021 to 2022). These samples originated from different and non-duplicated farms. The MICs to fosfomycin were measured using an agar dilution method with a breakpoint of 256 μg/mL. We conducted whole-genome sequencing with a MiSeq, followed by in silico analysis of the acquired draft genomes. The resistance rates were 0.3% (95% CI [0-1.9%]), 6.8% (95% CI [2.3-15.3%]), and 1.4% (95% CI [0-7.3%]). The FosA3 gene was detected in five out of six fosfomycin-resistant E. coli strains and one Salmonella spp. strain. The fosfomycin-resistant Salmonella spp. strain also has a fosA7 gene. One E. coli strain showed resistance to fosfomycin without having the fosA3 gene, and with the mutations of glpT, uhpT, uhpT and ptsI, and with the existence of efflux pumps. The nationwide scale of resistance rates to fosfomycin in E. coli isolated from healthy and diseased cattle and that of Salmonella spp. from diseased cattle were revealed for the first time, and the resistance rates were low. In addition, genes linked to the mechanism of fosfomycin resistance were identified.

A pan-genome perspective on the evolutionary dynamics of polyphyly, virulence, and antibiotic resistance in Salmonella enterica serovar Mbandaka highlights emerging threats to public health and food safety posed by cloud gene families

Salmonella enterica serovar Mbandaka, a prevalent foodborne pathogen, poses a threat to public health but remains poorly understood. We have determined the phylogenomic tree, genetic diversity, virulence, and antimicrobial resistance (AMR) profiles on a large genomic scale to elucidate the evolutionary dynamics within the Mbandaka pan-genome. The polyphyletic nature of this serovar is characterized by two distinct phylogenetic groups and inter-serovar recombination boundaries, that potentially arising from recombination events at the H2-antigen loci. The open pan-genome exhibited a flexible gene repertoire, with numerous cloud gene families involved in virulence and AMR. Extensive gene gain and loss observed at the terminal nodes of the phylogenetic tree indicate that Mbandaka individuals have undergone frequent gene turnover. The resulting changes in virulence and AMR genes potentially pose emerging threats to public health. We explored serovar conversion due to recombination of H-antigen loci, inter-serovar divergences in gene gain and loss, prophage-mediated acquisition of virulence factors, and the role of incompatibility group plasmids in acquiring resistance determinants as key molecular mechanisms driving the pathogenicity and antibiotic resistance of Mbandaka. Our work contributes to a comprehensive understanding of the complex mechanisms of pathogenesis and the ongoing evolutionary arms race with current therapeutic approaches in serovar Mbandaka.

Genomic analysis of Salmonella isolated from surface water and animal sources in Chile reveals new T6SS effector protein candidates

Type VI Secretion Systems (T6SS), widely distributed in Gram-negative bacteria, contribute to interbacterial competition and pathogenesis through the translocation of effector proteins to target cells. Salmonella harbor 5 pathogenicity islands encoding T6SS (SPI-6, SPI-19, SPI-20, SPI-21 and SPI-22), in which a limited number of effector proteins have been identified. Previous analyses by our group focused on the identification of candidate T6SS effectors and cognate immunity proteins in Salmonella genomes deposited in public databases. In this study, the analysis was centered on Salmonella isolates obtained from environmental sources in Chile. To this end, bioinformatics and comparative genomics analyses were performed using 695 genomes of Salmonella isolates representing 44 serotypes obtained from surface water and animal sources in Chile to identify new T6SS effector proteins. First, T6SS gene clusters were identified using the SecreT6 server. This analysis revealed that most isolates carry the SPI-6 T6SS gene cluster, whereas the SPI-19 and SPI-21 T6SS gene clusters were detected in isolates from a limited number of serotypes. In contrast, the SPI-20 and SPI-22 T6SS gene clusters were not detected. Subsequently, each ORF in the T6SS gene clusters identified was analyzed using bioinformatics tools for effector prediction, identification of immunity proteins and functional biochemical prediction. This analysis detected 20 of the 37 T6SS effector proteins previously reported in Salmonella. In addition, 4 new effector proteins with potential antibacterial activity were identified in SPI-6: 2 Rhs effectors with potential DNase activity (PAAR-RhsA-NucA_B and PAAR-RhsA-GH-E) and 2 effectors with potential RNase activity (PAAR-RhsA-CdiA and RhsA-CdiA). Interestingly, the repertoire of SPI-6 T6SS effectors varies among isolates of the same serotype. In SPI-19, no new effector protein was detected. Of note, some Rhs effectors of SPI-19 and SPI-6 present C-terminal ends with unknown function. The presence of cognate immunity proteins carrying domains present in bona fide immunity proteins suggests that these effectors have antibacterial activity. Finally, two new effectors were identified in SPI-21: one with potential peptidoglycan hydrolase activity and another with potential membrane pore-forming activity. Altogether, our work broadens the repertoire of Salmonella T6SS effector proteins and provides evidence that SPI-6, SPI-19 and SPI-21 T6SS gene clusters harbor a vast array of antibacterial effectors.

Draft Whole-Genome Sequencing and Phenotypic Analysis of Salmonella from Retail Aquatic Products in Weifang

Salmonella is one of the most common causative agents of infectious diarrhea in humans, but in China, there are very limited data on the presence of Salmonella in aquatic products. This study describes the isolation of Salmonella from aquatic products in Weifang, China, from April 2022 to April 2023. Seven out of 160 (4.38%) retail aquatic product samples were positive for Salmonella. Two distinct serotypes were identified: Salmonella enterica subsp. enterica serovar Senftenberg (n = 4) and S. enterica subsp. diarizonae serovar IIIb 59:z10:z57 (n = 3). The results of molecular typing of isolates with the same serotype were consistent. Only one of the isolates was resistant to ampicillin, while the other isolates were not resistant to the tested antibiotics, suggesting that Salmonella in aquatic products in this region are relatively susceptible to antibiotics. There were 17 resistance genes in the 7 strains, 13 of which were shared. golS, MdtK, mdsA, and mdtG were unique to S. Senftenberg. A total of 155 virulence genes were annotated in the S. Senftenberg isolates, and 136 virulence genes were annotated in the S. IIIb 59:z10:z57 isolates. The S. Senftenberg isolates harbored more adhesion-related genes than the S. IIIb 59:z10:z57 isolates. Multilocus sequence typing analysis revealed that ST34 has been the most prevalent type of Salmonella in China since 2020, followed by ST11. The predominant type of Salmonella in aquaculture is ST14. This study provided additional genetic information about Salmonella in aquatic sources, providing a basis for subsequent research related to risk assessment, antibiotic resistance mechanisms, and so forth.

Geography, Antimicrobial Resistance, and Genomics of Salmonella enterica (Serotypes Newport and Anatum) from Meat in Mexico (2021-2023)

Salmonella enterica non-typhoidal is a major contributor to diarrheal diseases, with over 2600 serovars identified across diverse environments. In Mexico, serovars Newport and Anatum have shown a marked increase, especially in foodborne disease, posing a public health problem. We conducted a cross-sectional study from 2021 to 2023 using active epidemiological surveillance to assess contamination in ground beef and pork at butcher shops nationwide. It involved isolation, phenotypic antimicrobial resistance, comparative genomics, spatial distribution, antimicrobial-resistance genes, and pangenome analysis. A total of 402 non-typhoidal S. enterica strains were isolated, including 59 Newport and 50 Anatum. After curating for redundancy, 45 Newport and 32 Anatum strains remained. We found that 75% of Newport strains exhibited multidrug resistance (MDR), compared to 25% of Anatum strains. Salmonella Newport also showed a broader distribution and stronger antibiotic-resistance capacity, particularly due to genes such as mphA and ramA. Our pangenome analysis showed a predominance of cell maintenance and survival-process genes in the accessory genome of both serotypes. Considering unique genes, Salmonella Anatum and Newport showed a notorious abundance of genes with functions related to replication, recombination, and repair. The substantial rise of Anatum and Newport strains in meat samples for human consumption presents an epidemiological alert, highlighting the critical need for stringent surveillance programs to mitigate human and ecosystem health risks.

Occurrence of Salmonella enterica in faecal sludge from Nigeria and genetic relatedness with strains associated with human infections in Africa

AIMS

This study investigated occurrence of Salmonella in faecal sludge from public toilets in Nigeria and genetic relatedness of strains that have been reported to cause human infection across Africa.

METHODS AND RESULTS

The study collected 150 human sludge from public toilets and identified Salmonella through culture and PCR. Isolates were tested for antimicrobial susceptibility and sequenced using Illumina MiSeq. Draft sequences were compared with sequence data from Enterobase and GenBank. Twenty-four (16.0%) of sewage samples were positive for Salmonella [CI95 (10.2-21.8)]. Salmonella serotype Give [sequence type (ST) 516], Salmonella serotype Seftenberg (ST-14), and Salmonella serotype Chester (ST-411) were the most prevalent serovars found in 45.8%, 16.7%, and 16.7% of samples, respectively. Most of the isolates were sensitive to the antimicrobials tested, only one isolate of Salmonella serotype Derby showed resistance to ampicillin and cefazolin. Notably, 91.7% of the strains had the aac (6)-Iaa gene and point mutations in parC, gyrA, and acrB. Salmonella serotype Chester showed genetic relatedness with strains from Benin Republic and South Africa.

CONCLUSIONS

There is genetic relatedness of present strains and those associated with human infections in Africa.

Multi-omics analyses of cancer-linked clinical salmonellae reveal bacterial-induced host metabolic shift and mTOR-dependent cell transformation

Salmonellae are associated epidemiologically and experimentally with colon cancer. To understand how Salmonella induces cell transformation, we performed multi-omics and phenotypic analyses of Salmonella clinical strains isolated from patients later diagnosed with colon cancer (case strains) and control strains from patients without cancer. We show that high transformation efficiency is a frequent intrinsic feature of clinical (case and control) salmonellae, yet case strains showed higher transformation efficiency than control strains. Transformation efficiency correlates with gene expression, nutrient utilization, and intracellular virulence, but not with genetic features, suggesting a phenotypic convergence of Salmonella strains resulting in cell transformation. We show that both bacterial entry and intracellular replication are required for host cell transformation and are associated with hyperactivation of the mTOR pathway. Strikingly, transiently inactivating mTOR through chemical inhibition reverses the transformation phenotype instigated by Salmonella infection. This suggests that targeting the mTOR pathway could prevent the development of Salmonella-induced tumors.

Genomic characterization of a clonal emergent Salmonella Minnesota lineage in Brazil reveals the presence of a novel megaplasmid of resistance and virulence

Salmonella Minnesota has emerged in Brazil as the predominant serovar in poultry and poultry products, along with Salmonella Heidelberg. To understand the emergence of Salmonella Minnesota over the last few years in Brazil, we performed a comparative analysis between 69 selected S. Minnesota genomes from Pathogen Detection database and 65 clonal emergent genomes isolated from Brazil. We demonstrate the presence of multidrug resistance genes against tetracycline [tet(A)], sulfonamide (sul2), and AmpC beta-lactamase (blaCMY-2) in emergent genomes, along with the carriage of a megaplasmid of resistance and virulence (~210 kb), designated pESM (plasmid for emergent Salmonella Minnesota). pESM is an IncC/A2 plasmid predicted to increase S. Minnesota environmental tolerance to mercury (mer operon) and provide resistance to tetracycline and ampicillin due to the presence of tet(A) and blaCMY-2, respectively. Moreover, pESM carries the yersiniabactin siderophore (high-pathogenicity island of Yersinia) related to the iron uptake. The temporal inference demonstrated that the most recent common ancestor dated from ~1978 and that the clonal emergent genomes carrying the pESM belong to a completely different lineage of S. Minnesota. Our results indicate that the presence of pESM likely contributes to the emergence of S. Minnesota and is precisely related to the successful spread of this particular clonal lineage in Brazil.IMPORTANCESalmonella Minnesota has emerged in Brazil as one of the leading serovars related to human and animal infection, presenting high virulence and antibiotic resistance to drugs classified as the highest priority for clinical treatment in humans. This study performed whole-genome sequencing, temporal analysis, and phylogenetics to understand the genetic insights related to the emergence of Salmonella Minnesota in Brazil. Long-read sequencing has led to the identification and characterization of a unique megaplasmid carrying virulence, antibiotic resistance, and heavy-metal tolerance genes, which may play a central role in S. Minnesota's successful emergence in Brazil and possibly worldwide. The potentially high transmissibility of this plasmid between clones and serovars represents a risk to public health since its acquisition may increase Salmonella's fitness, virulence, resistance, and persistence. Understanding the genetic aspects related to the emergence of serovars can help devise measures to mitigate the spread of hazardous multidrug-resistant strains.

Identification of Salmonella Serogroups and Distinction Between Typhoidal and Non-Typhoidal Salmonella Based on ATR-FTIR Spectroscopy

Salmonellosis is the second-most commonly reported foodborne gastrointestinal infection in the European Union and a major contributor to foodborne outbreaks globally. Salmonella serotyping differentiates typhoidal strains requiring antibiotic therapy (e.g., serovars Typhi, Paratyphi A, Paratyphi B-d-tartrate negative, Paratyphi C) from typically self-limiting non-typhoidal Salmonella (NTS) strains, making precise identification essential for appropriate treatment and epidemiological tracking. At the same time, the ability to identify the serogroup of Salmonella, regardless of which of the above two groups it belongs to, provides an important initial epidemiological indication that is useful for case management by competent health authorities. This study evaluates the effectiveness of ATR-FTIR spectroscopy coupled with a machine learning algorithm to identify four key Salmonella enterica serogroups (B, C1, D1-including typhoidal strains such as S. Typhi-and E1) directly from solid monomicrobial cultures without sample pretreatment. The system was paired with I-dOne software v2.2 already able to detect Salmonella spp., possibly leading to the characterisation of both the species and serotype from one colony. The multivariate classification model was trained and validated with 248 strains, with an overall accuracy of >98% over 113 samples. This approach offers a potential rapid alternative for clinical labs without serotyping facilities.

Salmonella Typhi Haplotype 58 biofilm formation and genetic variation in isolates from typhoid fever patients with gallstones in an endemic setting in Kenya

Although typhoid fever has largely been eliminated in high-income countries, it remains a major global public health concern especially among low- and middle-income countries. The causative agent, Salmonella enterica serovar Typhi (S. Typhi), is a human restricted pathogen with a limited capacity to replicate outside the human host. Human carriers, 90% of whom have gallstones in their gallbladder, continue to shed the pathogen for an ill-defined period of time after treatment. The genetic mechanisms involved in establishing the carrier state are poorly understood, but S. Typhi is thought to undergo specific genetic changes within the gallbladder as an adaptive mechanism. In the current study, we aimed to identify the genetic differences in longitudinal clinical S. Typhi isolates from asymptomatic carriers with gallstones in a typhoid endemic setting in Nairobi, Kenya. Whole-genome sequences were analyzed from 22 S. Typhi isolates, 20 from stool samples, and 2 from blood samples, all genotype 4.3.1 (H58). Out of this, 19 strains were from four patients also diagnosed with gallstones, of whom three had typhoid symptoms and continued to shed S. Typhi after treatment. All isolates had point mutations in the quinolone resistance-determining region (QRDR), and only sub-lineage 4.3.1.2.EA3 encoded multidrug resistance genes. There was no variation in antimicrobial resistance patterns among strains from the same patient/household. Non-multidrug resistant (MDR) isolates formed significantly stronger biofilms in vitro than the MDR isolates, p<0.001. A point mutation within the treB gene (treB A383T) was observed in strains isolated after clinical resolution from patients living in 75% of the households. For missense mutations in Vi capsular polysaccharide genes, tviE P263S was also observed in 18% of the isolates. This study provides insights into the role of typhoid carriage, biofilm formation, AMR genes, and genetic variations in S. Typhi during asymptomatic carriage.

Annotated genome sequences of Salmonella Haifa, Salmonella Bangkok, and Salmonella Reading, isolated from chicken meat in South Africa

This paper presents the annotated genomes of Salmonella Haifa, Salmonella Bangkok, and Salmonella Reading, which are uncommonly isolated from meat in South Africa. Despite their rarity in South Africa, these serotypes have been linked to several high-profile outbreaks in other parts of the world.

Comparative genomic analysis provides new insights into non-typhoidal Salmonella population structure in Peru

Non-typhoidal Salmonella (NTS) is one of the leading causes of foodborne outbreaks worldwide, especially in low- and middle-income countries such as Peru. To understand the dynamics of NTS serotypes circulating in the country, the whole genomes of 1122 NTS strains from 1998 to 2018 were analyzed using phylogenomic and comparative genomics tools. A total of 40 different Sequences Type (STs) were identified, the five most frequent being ST-32 (S. Infantis, 37.25%), ST-11 (S. Enteritidis, 23.8%), ST-19 (S. Typhimurium, 14.17%), ST-31 (S. Newport, 6.77%), and ST-413 (S. Mbandaka, 4.72%). Furthermore, the maximum likelihood phylogeny showed high clonality between strains from the same ST recovered from different isolation sources, as well as a variable recombination rate, when comparing each ST individually. Moreover, several virulence factors involved in adherence and invasion, as well as plasmids and prophages, are strongly associated with the most frequent STs, while multidrug resistance markers are mostly linked to ST-32. This work provides an overview of the main genomic characteristics linked to the high-frequency ST, which have undergone few genetic modifications over time, suggesting a high adaptation of these NTS circulating clones in Peru.

Bridging Classical Methodologies in Salmonella Investigation with Modern Technologies: A Comprehensive Review

Advancements in genomics and machine learning have significantly enhanced the study of Salmonella epidemiology. Whole-genome sequencing has revolutionized bacterial genomics, allowing for detailed analysis of genetic variation and aiding in outbreak investigations and source tracking. Short-read sequencing technologies, such as those provided by Illumina, have been instrumental in generating draft genomes that facilitate serotyping and the detection of antimicrobial resistance. Long-read sequencing technologies, including those from Pacific Biosciences and Oxford Nanopore Technologies, offer the potential for more complete genome assemblies and better insights into genetic diversity. In addition to these sequencing approaches, machine learning techniques like decision trees and random forests provide powerful tools for pattern recognition and predictive modeling. Importantly, the study of bacteriophages, which interact with Salmonella, offers additional layers of understanding. Phages can impact Salmonella population dynamics and evolution, and their integration into Salmonella genomics research holds promise for novel insights into pathogen control and epidemiology. This review revisits the history of Salmonella and its pathogenesis and highlights the integration of these modern methodologies in advancing our understanding of Salmonella.

Genomic epidemiology and phenotypic characterisation of Salmonella enterica serovar Panama in Victoria, Australia

Salmonella enterica serovar Panama, a causative agent of non-typhoidal salmonellosis (NTS), is one of several serovars that causes invasive NTS disease (iNTS) in humans. S. Panama is an understudied pathogen, with its pathobiology poorly understood. It is a predominant iNTS serovar in Australia, a high-income country with high rates of salmonellosis, where S. Panama has been documented to have a high odds ratio (13.9-15.26) for causing iNTS. This study investigates the genomic epidemiology and antimicrobial resistance profiles of all S. Panama isolates recovered in Victoria, Australia, between 2000 and 2021. We examined the infection dynamics of S. Panama in seven isolates, representing the genetic diversity of the study population. Two sub-lineages, encompassed within a previously described Asian lineage, were identified. Multi-drug resistance (resistance to ≥3 drug classes) was detected in 46 (51.7%) Australian isolates. The plasmid-mediated colistin resistance gene, mcr1.1, was detected in one Australian S. Panama isolate, carried by an IncI plasmid previously reported in Salmonella and Escherichia coli isolates collected from poultry in South-East Asia. Examination of the intracellular replication dynamics of S. Panama isolates demonstrated diverse phenotypes. In THP-1 derived macrophages, despite low host cell uptake, S. Panama showed higher replication rates over time compared to S. enterica serovar Typhimurium. However, a causative genotype could not be identified to explain this observed phenotype. This study provides insights into the S. Panama isolates circulating in Australia over two-decades, finding that 78% were linked to international travel suggesting importation in Australia. It shows MDR was common in this iNTS serovar, and colistin resistance reported for the first time. It provides the first data on the host-pathogen interactions of S. Panama in Australia, which will aid our collective understanding of the pathobiology of S. Panama and iNTS serovars more broadly.

Linking intraspecies variability of Salmonella enterica isolates under acidic conditions to genotype

There is a lack of information about Salmonella enterica strains under acidic conditions and their association with their genome. This study characterized intraspecies variability in the growth of 167 S. enterica isolates under two acid conditions (pH 4 and 5) and linked to the whole genome sequencing (WGS) data. A total of 1002 curves for each condition were obtained using turbidimetry measurements, and Baranyi and Roberts model was used to estimate the maximum rate of change (rcmax; OD600 nm h-1). Strains were categorized into slow, intermediate, and fast; and associations with their WGS data were performed. Huge variability inr c max ¯ $\overline {{\mathrm{r}}{{{\mathrm{c}}}_{{\mathrm{max}}}}} $ was observed at both conditions (pH 5 = 0.016-0.066 OD600nm h-1 and pH 4 = 0.003-0.028 OD600nm h-1). The majority of isolates was classified as intermediater c max ¯ $\overline {{\mathrm{r}}{{{\mathrm{c}}}_{{\mathrm{max}}}}} $ (59.5% at pH 5 and 46.1% at pH 4). Strains classified as fast had a low frequency of allABCD genes at both pHs, and any of them having the presence of pefABCD, spvBCR, aadA2, dfrA12, and gyrA_D87G genes were linked to virulence or antimicrobial resistance. This study suggests that strains with fast capacity for growth under acidic conditions could have a fitness cost in their virulence or resistance potential. PRACTICAL APPLICATION: Data presented in this study could be used to select representative strains to evaluate the exposure assessment in different food items, mainly the growth and survival in acidic foods.

Long-term genomic surveillance reveals the circulation of clinically significant Salmonella in lymph nodes and beef trimmings from slaughter cattle from a Mexican feedlot

This longitudinal study characterized Salmonella circulating in lymph nodes (LN, n = 800) and beef trimmings (n = 745) from slaughter cattle from a Mexican feedlot. During two years, LN and beef trimming samples were collected 72-96 h post-slaughter, and we obtained 77 isolates of the serovars Anatum (n = 23), Reading (n = 22), Typhimurium (n = 10), London (n = 9), Kentucky (n = 6), Fresno (n = 4), Give, Muenster, and monophasic 1,4,[5],12:i- (n = 1 each). These isolates were subjected to whole genome sequencing, single-nucleotide polymorphism (SNP)-based phylogenetic analysis, reconstruction of their ancestral isolation sources through evolutionary analysis, and virulence profiling. Although LN and beef trimmings were not mixed, evolutionary analysis estimated that the common ancestor of all study isolates was likely of LN origin. Moreover, isolates from both sources were highly clonal (0-21 SNP distance), highlighting the complexity of Salmonella transmission dynamics. The pathogen persisted across cattle cohorts, as shown by clonality between isolates collected in different years (1-20 SNP distance). Major virulence genes were highly conserved (97-100% identity to the reference sequences) and most isolates carried a conserved version of pathogenicity islands 1-5, 9, 11, and 12. Typhimurium strains carried the Salmonella plasmid virulence operon (spvRABCD), and a Muenster isolate carried the st313td gene, both of which are associated with invasive phenotypes. Most isolates (49/77) were genetically similar (1-43 SNPs) to strains involved in human salmonellosis, highlighting their public health significance. Further research is needed on Salmonella transmission dynamics in cattle and the mechanisms determining subclinical infection and persistence in farm environments.

The dynamics of blaTEM resistance genes in Salmonella Typhi

Salmonella Typhi (S. Typhi) is an important pathogen causing typhoid fever worldwide. The emergence of antibiotic resistance, including that of blaTEM genes encoding to TEM [Formula: see text]-lactamases has been observed. This study aimed to investigate the dynamics of blaTEM genes in S. Typhi by analyzing the phylogeny and flanking region patterns and phylogenetic associating them with metadata (year, country) and genomic data (genotypes, antibiotic resistance genes (ARGs), plasmids). Genomic sequences of publicly available S. Typhi harboring blaTEM (n = 6079), spanning from 1983 to 2023, were downloaded and analyzed using CSIPhylogeny for phylogeny, Flankophile for identifying genetic contexts around blaTEM genes and GenoTyphi for determining genotypes, ARGs and plasmid replicons. We found that blaTEM-positive isolates occurred most commonly in specific location, especially in Asia and Africa and clustered among a limited number of genotypes. Flankophile identified 740 isolates (12.2%) with distinct flanking region patterns, which were categorized into 13 patterns. Notably, 7 patterns showed a predominantly phylogenetic association with genotypes. Additionally, these 7 patterns exhibited relation to the country, ARGs and plasmid replicons. Further examination of the flanking region patterns provided association with mobile genetic elements (MGEs). Taken together, this study suggests that blaTEM has been acquired by S. Typhi isolates a limited number of times and subsequently spread clonally with specific genotypes.

Salmonella associated with agricultural animals exhibit diverse evolutionary rates and show evidence of recent clonal expansion

Most foodborne salmonellosis outbreaks are linked to agricultural animal products with a few serovars accounting for most Salmonella isolated from specific animal products, suggesting an adaptation to the corresponding animal hosts and their respective environments. Here, we utilized whole-genome sequence (WGS) data to analyze the evolution and population genetics of seven serovars frequently isolated from ground beef (Montevideo, Cerro, and Dublin), chicken (Kentucky, Infantis, and Enteritidis), and turkey (Reading) in the United States. In addition, publicly available metadata were used to characterize major clades within each serovar with regard to public health significance. Except for Dublin, all serovars were polyphyletic, comprising 2-6 phylogenetic groups. Further partitioning of the phylogenies identified 25 major clades, including 12 associated with animal or environmental niches. These 12 clades differed in evolutionary parameters (e.g., substitution rates) as well as public health relevant characteristics (e.g., association with human illness, antimicrobial resistance). Overall, our results highlight several critical trends: (i) the Salmonella generation time appears to be more dependent on source than serovar and (ii) all serovars contain clades and sub-clades that are estimated to have emerged after the year 1940 and that are enriched for isolates associated with humans, agricultural animals, antimicrobial resistance (AMR), and/or specific geographical regions. These findings suggest that serotyping alone does not provide enough resolution to differentiate isolates that may have evolved independently, present distinct geographic distribution and host association, and possibly have distinct public health significance.

IMPORTANCE

Non-typhoidal Salmonella are major foodborne bacterial pathogens estimated to cause more than one million illnesses, thousands of hospitalizations, and hundreds of deaths annually in the United States. More than 70% of Salmonella outbreaks in the United States have been associated with agricultural animals. Certain serovars include persistent strains that have repeatedly contaminated beef, chicken, and turkey, causing outbreaks and sporadic cases over many years. These persistent strains represent a particular challenge to public health, as they are genetically clonal and widespread, making it difficult to differentiate distinct outbreak and contamination events using whole-genome sequence (WGS)-based subtyping methods (e.g., core genome allelic typing). Our results indicate that a phylogenetic approach is needed to investigate persistent strains and suggest that the association between a Salmonella serovar and an agricultural animal is driven by the expansion of clonal subtypes that likely became adapted to specific animals and associated environments.

A global genome dataset for Salmonella Gallinarum recovered between 1920 and 2024

Salmonella enterica serovar Gallinarum (S. Gallinarum) is an avian-specific pathogen responsible for fowl typhoid, a severe systemic disease with high mortality in chickens. This disease poses a substantial burden to the poultry industry, particularly in developing countries like China. However, comprehensive genome datasets on S. Gallinarum are lacking. Here, we present the most extensive S. Gallinarum genome dataset, comprising 574 well-collated samples. This dataset consists of 366 genomes sequenced in our laboratory and 208 publicly available genomes, collected from various continents over the past century. Using in silico prediction, we categorized S. Gallinarum into three distinct biovars. Regarding antimicrobial resistance, 238 strains (41.5%) carried antimicrobial resistance genes (ARGs) with a total of 635 records, while 232 strains (40.4%) exhibited multi-drug resistance. Mobile genomic elements (MGEs) serve as critical drivers for ARGs. Our dataset includes 5,636 MGEs records, with most MGEs belonging to prophages and plasmids. This dataset expands our understanding of the genomic characteristics of S. Gallinarum, providing valuable resources for future genomic studies to improve disease management.