Discerning the Antimicrobial Resistance, Virulence, and Phylogenetic Relatedness of Salmonella Isolates Across the Human, Poultry, and Food Materials Sources in Malaysia

Genetic characterization and in silico serotyping of 62 Salmonella enterica isolated from Korean poultry operations

BACKGROUND

The conventional method of antigen-based serotyping for Salmonella poses challenges due to the necessity of utilizing over 150 antisera. More recently, in silico Salmonella serotyping has emerged as a predictive alternative. The purpose of this study was to predict the serovars of 62 Salmonella enterica strains isolated from Korean poultry operations and their genetic characteristics using whole genome sequencing. The analysis employed diverse methods, including ribosomal, and core genome multi-locus sequence typing (MLST), based on Salmonella In Silico Typing Resource (SISTR). Pangenome, clusters of orthologous groups (COG) analysis, and identification of virulence and antibiotic resistance genes were conducted.

RESULTS

Salmonella enterica subspecies enterica serovars were observed and clustered based on the pangenome and phylogenetic tree: 21 Salmonella Albany (Albany), 13 Salmonella Bareilly (Bareilly), and 28 Salmonella Mbandaka (Mbandaka). The most frequently observed sequence types for the three serovars were ST292 in Albany, ST203 in Bareilly, and ST413 in Mbandaka. 18 antibiotic resistance genes showed varying presences based on the serovars, including Albany (qacEdelta1, tet(D), CARB-3 (blaCARB-3), and dfrA1) and Bareilly (aac(6')-ly). Intriguingly, a mutated gyrA (Ser83 → Phe, serine to phenylalanine) was observed in all 21 Albany strains, whereas Bareilly and Mbandaka carried the wild-type gyrA. Among 130 virulence genes analyzed, 107 were present in all 62 Salmonella strains, with Mbandaka strains exhibiting a higher prevalence of virulence genes related to fimbrial adherence compared to those of Albany and Bareilly.

CONCLUSIONS

The study identified distinct genetic characteristics among the three Salmonella serovars using whole genome sequencing. Albany carried a unique mutation in gyrA, occurring in the quinolone resistance-determining region. Additionally, the virulence gene profile of Mbandaka differed from the other serovars, particularly in fimbrial adherence genes. These findings demonstrate the effectiveness of in silico approaches in predicting Salmonella serovars and highlight genetic differences that may inform strategies for antibiotic resistance and virulence control, such as developing rapid diagnostic tools to detect the AMR (e.g. tet (D), and gyrA) or targeting serovar-specific virulence factors like fimbrial adherence genes in Mbandaka to mitigate pathogenicity.

Natural Inhibitors of Salmonella MDR Efflux Pumps AcrAB and AcrD: An Integrated In Silico, Molecular, and In Vitro Investigation

Multidrug-resistant (MDR) Salmonella remains a significant global health threat. This study aimed to explore the potential of essential oil components as novel inhibitors of the Salmonella MDR efflux pumps AcrAB and AcrD. Salmonella isolates were characterized for serotype, antibiotic resistance, and efflux pump activity. Essential oil components were screened for inhibitory effects using phenotypic and genotypic methods. In silico docking and molecular dynamics simulations were conducted to investigate binding interactions and stability. Salmonella Typhimurium was the predominant serotype with high MDR rates. Efflux pump activity was prevalent. Cumin and cinnamon oils demonstrated promising inhibitory effects on these pumps. Molecular docking simulations revealed strong binding affinities of analyzed compounds to the AcrAB and AcrD binding pocket. The 2-methyl-1-(p-tolyl)propan-2-ol exhibited higher stability within the AcrAB binding pocket compared to (1S,3R,5R)-1-isopropyl-4-methylenebicyclo[3.1.0]hexan-3-ol within the AcrD binding pocket. Treatment with these oils significantly downregulated efflux pump genes (robA, acrB, mdtB, acrF, acrD, soxS, mdsB, marA). The novel approach of combining in silico and molecular dynamics simulations with precise gene expression analysis provides a valuable framework for future studies aimed at combating MDR Salmonella efflux pumps.

Genomic characteristics of Salmonella Montevideo and Pomona: impact of isolation source on antibiotic resistance, virulence and metabolic capacity

Salmonella enterica is known for its disease-causing serotypes, including Montevideo and Pomona. These serotypes have been found in various environments, including river water, sediments, food, and animals. However, the global spread of these serotypes has increased, leading to many reported infections and outbreaks. The goal of this study was the genomic analysis of 48 strains of S. Montevideo and S. Pomona isolated from different sources, including clinical. Results showed that environmental strains carried more antibiotic resistance genes than the clinical strains, such as genes for resistance to aminoglycosides, chloramphenicol, and sulfonamides. Additionally, the type 4 secretion system, was only found in environmental strains. .Also many phosphotransferase transport systems were identified and the presence of genes for the alternative pathway Entner-Doudoroff. The origin of isolation may have a significant impact on the ability of Salmonella isolates to adapt and survive in different environments, leading to genomic flexibility and a selection advantage.

Serotype Distribution and Antimicrobial Resistance of Salmonella Isolates from Poultry Sources in China

BACKGROUND

Salmonella is an important zoonotic pathogen, of which poultry products are important reservoirs. This study analyzed the prevalence, antimicrobial resistance, and characterization of Salmonella from broiler and laying hen sources in China.

METHODS

A total of 138 (12.27%) strains of Salmonella were isolated from 1125 samples from broiler slaughterhouses (20.66%, 44/213), broiler farms (18.21%, 55/302), and laying hen farms (6.39%, 39/610). Multiplex PCR was used to identify the serotypes. Antibiotic susceptibility testing to a set of 21 antibiotics was performed and all strains were screened by PCR for 24 selected antimicrobial resistance genes (ARGs). In addition, 24 strains of Salmonella were screened out by whole-genome sequencing together with 65 released Salmonella genomes to evaluate phylogenetic characteristics, multilocus sequence typing (MLST), and plasmid carriage percentages.

RESULTS

A total of 11 different serotypes were identified, with the dominance of S. Enteritidis (43/138, 31.16%), S. Newport (30/138, 21.74%), and S. Indiana (19/138, 13.77%). The results showed that S. Enteritidis (34.34%, 34/99) and S. Newport (51.28%, 20/39) were the dominant serotypes of isolates from broilers and laying hens, respectively. The 138 isolates showed the highest resistance to sulfisoxazole (SXZ, 100%), nalidixic acid (NAL, 54.35%), tetracycline (TET, 47.83%), streptomycin (STR, 39.86%), ampicillin (AMP, 39.13%), and chloramphenicol (CHL, 30.43%), while all the strains were sensitive to both tigacycline (TIG) and colistin (COL). A total of 45.65% (63/138) of the isolates were multidrug-resistant (MDR) strains, and most of them (61/63, 96.83%) were from broiler sources. The results of PCR assays revealed that 63.77% of the isolates were carrying the quinolone resistance gene qnrD, followed by gyrB (58.70%) and the trimethoprim resistance gene dfrA12 (52.17%). Moreover, a total of thirty-four ARGs, eighty-nine virulence genes, and eight plasmid replicons were detected in the twenty-four screened Salmonella strains, among which S. Indiana was detected to carry the most ARGs and the fewest plasmid replicons and virulence genes compared to the other serotypes.

CONCLUSIONS

This study revealed a high percentage of multidrug-resistant Salmonella from poultry sources, stressing the importance of continuous monitoring of Salmonella serotypes and antimicrobial resistance in the poultry chain, and emergency strategies should be implemented to address this problem.

Advancements in Predictive Microbiology: Integrating New Technologies for Efficient Food Safety Models

Predictive microbiology is a rapidly evolving field that has gained significant interest over the years due to its diverse application in food safety. Predictive models are widely used in food microbiology to estimate the growth of microorganisms in food products. These models represent the dynamic interactions between intrinsic and extrinsic food factors as mathematical equations and then apply these data to predict shelf life, spoilage, and microbial risk assessment. Due to their ability to predict the microbial risk, these tools are also integrated into hazard analysis critical control point (HACCP) protocols. However, like most new technologies, several limitations have been linked to their use. Predictive models have been found incapable of modeling the intricate microbial interactions in food colonized by different bacteria populations under dynamic environmental conditions. To address this issue, researchers are integrating several new technologies into predictive models to improve efficiency and accuracy. Increasingly, newer technologies such as whole genome sequencing (WGS), metagenomics, artificial intelligence, and machine learning are being rapidly adopted into newer-generation models. This has facilitated the development of devices based on robotics, the Internet of Things, and time-temperature indicators that are being incorporated into food processing both domestically and industrially globally. This study reviewed current research on predictive models, limitations, challenges, and newer technologies being integrated into developing more efficient models. Machine learning algorithms commonly employed in predictive modeling are discussed with emphasis on their application in research and industry and their advantages over traditional models.

Exploring Nocardia's ecological spectrum and novel therapeutic frontiers through whole-genome sequencing: unraveling drug resistance and virulence factors

Nocardia farcinica is the leading pathogen responsible for nocardiosis, a life-threatening infection primarily affecting immunocompromised patients. In this study, the genomic sequence of a clinically isolated N. farcinica sample was sequenced. Subsequently, the assembled genome was annotated to identify antimicrobial resistance and virulence genes, as well as plasmid and prophages. The analysis of the entire genome size was 6,021,225 bp, with a GC content of 70.78% and consists of 103 contigs and N50 values of 292,531 bp. The genome analysis revealed the presence of several antimicrobial resistance genes, including RbpA, mtrA, FAR-1, blaFAR-1, blaFAR-1_1, and rox. In addition, virulence genes such as relA, icl, and mbtH were also detected. The present study signifies that N. farcinica genome is pivotal for the understanding of antimicrobial resistance and virulence genes is crucial for comprehending resistance mechanism, and developing effective strategies to combat bacterial infections effectively, especially adhesins and toxins. This study aids in identifying crucial drug targets for combating multidrug-resistant N. farcinica in the future.

Multidrug-Resistant Salmonella Species and Their Mobile Genetic Elements from Poultry Farm Environments in Malaysia

The prevalence and persistent outbreaks of multidrug-resistant (MDR) Salmonella in low-income countries have received growing attention among the public and scientific community. Notably, the excessive use of antibiotics in chicken feed for the purpose of treatment or as prophylaxis in the poultry industry have led to a rising rate of antimicrobial resistance. Therefore, this study aimed to determine the presence of antimicrobial-resistant Salmonella species and its mobile genetic elements from soil and effluent samples of 33 randomly selected poultry farms in Selangor, Malaysia. Salmonella species were isolated on selective media (CHROMagar™ Salmonella). VITEK® 2 system was used to identify the isolates and their antimicrobial susceptibility. Subsequently, eight isolates were subjected to the whole genome sequencing (WGS). Based on the results, Salmonella spp. was detected in 38.1% (24/63) of samples, with the highest resistance to ampicillin (62.5%), followed by ampicillin/sulbactam (50.0%) and ciprofloxacin (45.8%). Meanwhile, the identified serovars were Salmonella enterica subspecies enterica serovar Weltevreden (S. Weltevreden), S. Jedburgh, and S. Brancaster. The most prevalent resistance genes detected include qnrS1, blaTEM-176, dfrA14, and tet(A). The IncX1 plasmid, with encoded resistance genes, was also detected in four isolates. Furthermore, mutations in the quinolone resistant-determining regions (QRDR) were discovered, specifically in the gyrA, gyrB, and parC genes. In short, surveillance such as continuous monitoring of antimicrobial resistance and emerging trends in resistance patterns through farm environmental samples could provide information to formulate public health interventions for effective infection prevention and disease control.

Retrospective Evaluation of Nosocomial Bacterial Infections and Their Antimicrobial Resistance Patterns Among Hospitalized Patients in Mogadishu, Somalia

Background

Nosocomial infection constitutes a significant public health challenge globally, with resource-limited countries bearing the greatest burden. Sadly, the emergence of drug-resistant strains of these pathogens have worsened the already precarious situation.

Methods

This study aimed to determine the incidence of nosocomial infections, the causative agents, and their antimicrobial susceptibilities among patients admitted to a tertiary hospital in Mogadishu, Somalia. The study included patients who had positive cultures 48 hours after admission. Abstracted data include the patient's demographic, infection outcome, the agents involved, and the site of infection.

Results

A total of 330 patients were found to have acquired nosocomial infection, comprising 100 (30%) patients from the ICU department. The median age for the patients in this study was 36 years. Patients who died of all-cause mortality were older than those discharged. Most of the bacteria were collected from sepsis/bloodstream infections (34%) dominated by Staphylococcus aureus (42.1%), Acinetobacter baumannii (14.0%), Escherichia coli (14.0%), and Klebsiella spp. (7.0%). Urinary tract infections were mainly associated with Escherichia coli (37.5%), Staphylococcus aureus (18.8%), and Klebsiella spp. 50% of all microorganisms were multidrug-resistant.

Conclusion

The findings of this study suggested that hospital infection control and prevention strategies need to be strengthened to improve the quality of care among hospitalized patients.

Study of Virulence Genes, Antimicrobial Resistance, and Genetic Relatedness of Foodborne Salmonella Isolates from Tunisia

ABSTRACT

Nontyphoidal Salmonella strains are among the major foodborne pathogens with emerging multidrug-resistant phenotypes. In this study, antimicrobial susceptibility testing of a collection of Salmonella isolates (n = 54) recovered from poultry and bivalve molluscs was performed. The study also investigated profiling of virulence and resistance genes as well as phylogenetic relationships through pulsed-field gel electrophoresis (PFGE) and enterobacterial repetitive intergenic consensus (ERIC)-PCR fingerprinting. Results revealed the presence of multiple virulence genes among Salmonella isolates. Salmonella intestinal infection A (siiA), Salmonella outer protein (sopB and sopE), putative 4-hydroxybutyrate coenzyme A transferase (cat2), Salmonella atypical fimbria C (safC), and Salmonella Enteritidis fimbria B (sefB) were present in most (83.32 to 100%) of the isolates, whereas the remaining tested genes (Salmonella plasmid virulence [spvC and spvB]), and the sopE gene, were exclusively detected within the serotype Enteritidis. The highest resistance rates were observed for oxacillin (94.4%), ampicillin (37%), and nalidixic acid (27.7%), followed by cefotaxime and amoxicillin-clavulanic acid (14.8%), trimethoprim-sulfamethoxazole (9.3%), and ciprofloxacin (5.5%). The results indicate that the Salmonella Enteritidis serotype possessed the widest range of virulence determinants and increasing levels of resistance. Such high-risk clones should be particularly controlled in Tunisia. Overall, increased resistance and virulence confer a selective advantage for the evolution of these bacteria and represent an alarming problem for global public health. The genetic study via PFGE and ERIC-PCR showed the high diversity of the clonal origins of these bacteria and the sources of contamination and revealed the great capacity of Salmonella to diversify within food-producing animals.

HIGHLIGHTS

HOW MISUSE OF ANTIMICROBIAL AGENTS IS EXACERBATING THE CHALLENGES FACING SOMALIA'S PUBLIC HEALTH

Background

In contrast to most developed countries, antimicrobial resistance (AMR) has continued to be a serious challenge to public health in the majority of resource-limited countries in Africa.

Materials and method

A comprehensive review of all available literature reporting on antimicrobial resistance patterns, antimicrobial drug usage in both human and animals, as well as national AMR regulations in Somalia was undertaken.

Results

The review observed that successful AMR control and surveillance among resource-poor nations are affected by a lack of infrastructural and institutional capacities, poor investment in human and material resources, as well as non-adherence to available policies. The humanitarian crisis affecting Somalia has persisted for too long, leading to loss of lives, productivity and dilapidation of public health infrastructures. Somalia like most countries has adopted the One Health approach in developing their soon-to-be gazetted National Action Plan on AMR, which covers both human health, animal health and the environment. Although there are many other similar policy documents and guidelines regulating the usage and administration of antimicrobials in the country, evidence of the implementation indicates there is still a need for more effort.

Conclusion

AMR constitute a significant public health problem in Somali, and there is urgent need for gazetting and enforcement of the newly developed national policy. In addition, there is also the need for collaboration with the major stakeholders to develop workable solutions to combat the hazards posed by AMR in the country.

Salmonella Yoruba: a rare serotype revealed through genomic sequencing along the farm-to-fork continuum of an intensive poultry farm in KwaZulu-Natal, South Africa

Salmonella enterica is a zoonotic pathogen of worldwide public health importance. We characterised Salmonella isolates from poultry along the farm-to-fork continuum using whole genome sequencing (WGS) and bioinformatics analysis. Three multilocus sequence types (MLSTs), i.e., ST15 (1.9%), ST152 (5.9%) and ST1316 (92.2%) and three serotypes, i.e., S. Heidelberg (1.9%), Kentucky (5.9%) and Yoruba (92.2%) were detected. The rare serotype, S. Yoruba, was detected among the farm and abattoir isolates and contained resistance and virulence determinants. Resistome analysis revealed the presence of the aac(6')-Iaa gene associated with aminoglycoside resistance, a single point mutation in the parC gene associated with fluoroquinolone and quinolone resistance, and a single isolate contained the fosA7 gene responsible for fosfomycin resistance. No antibiotic resistance genes (ARGs) were identified for isolates phenotypically non-susceptible to azithromycin, cephalosporins, chloramphenicol and nitrofurantoin and resistance was thought to be attributable to other resistance mechanisms. The fully susceptible profiles observed for the wastewater isolates suggest that the poultry environment may receive antibiotic-resistant strains and resistance determinants from poultry with the potential of becoming a pathway of Salmonella transmission along the continuum. Six plasmids were identified and were only carried by 92.2% of the S. Yoruba isolates in varying combinations. Four plasmids were common to all S. Yoruba isolates along the continuum; isolates from the litter and faeces on the farm contained two additional plasmids. Ten Salmonella pathogenicity islands (SPIs) and 177 virulence genes were identified; some were serotype-specific. Phylogenetic analysis of S. Heidelberg and Kentucky showed that isolates were related to animal and human isolates from other countries. Phylogenetic analysis among the S. Yoruba isolates revealed four clades based on the isolate sources along the farm-to-fork continuum. Although the transmission of Salmonella strains along the farm-to-fork continuum was not evident, pathogenic, resistant Salmonella present in the poultry production chain poses a food safety risk. WGS analysis can provide important information on the spread, resistance, pathogenicity, and epidemiology of isolates and new, rare or emerging Salmonella strains to develop intervention strategies to improve food safety.

Armed conflict and the proliferation of antimicrobial resistance: The situation in war-ravaged Afghanistan

Antimicrobial resistance (AMR) constitutes a serious impediment to the attainment of the World Health Organization's Sustainable Development Goals, which seek to ensure and promote healthy living among humans and animals. Studies have identified the vulnerability of conflict-affected populations to exposure to antimicrobial-resistant pathogens. Resource-limited countries like Afghanistan have suffered for long periods from armed conflicts, and this situation is exacerbated by the already poor or dilapidated healthcare delivery services. The country has suffered human and economic losses due to antimicrobial-resistant bacterial infections driven by the prolonged war, as well as a limited number of antimicrobials and frequent under dosage. Most reports point to the overuse of broad-spectrum antibiotics as the main reason for building up resistant strains. There is a need for more efforts toward identifying the major contributors and enlightening the public on the importance of AMR. This review aimed to provide a critical appraisal regarding the current situation of AMR in Afghanistan.

Virulence Gene Profile, Antimicrobial Resistance and Multilocus Sequence Typing of Salmonella enterica Subsp. enterica Serovar Enteritidis from Chickens and Chicken Products

This study was undertaken to determine the virulence, antimicrobial resistance and molecular subtypes of Salmonella in the Central Region of Peninsular Malaysia. A total of 45 Salmonella Enteritidis were detected from live chicken (cloacal swab), and chicken products (fresh and ready-to-eat meat) samples upon cultural isolation and serotyping. Similarly, an antimicrobial susceptibility test based on the Kirby Bauer disk diffusion method as well as antimicrobial resistance AMR genes, virulence determinants and multilocus sequence typing (MLST) typing were conducted after the Whole Genome Sequencing and analysis of the isolates. The results indicate that sequence types ST1925 (63.7%), and ST11 (26.5%) were the predominant out of the seven sequence types identified (ST292, ST329, ST365, ST423 and ST2132). The phenotypic antimicrobial profile corresponds to the genotypic characterization in that the majority of the isolates that exhibited tetracycline, gentamycin and aminoglycoside resistance; they also possessed the tetC and blaTEM β-Lactam resistance genes. However, isolates from cloacal swabs showed the highest number of resistance genes compared to the chicken products (fresh and ready-to-eat meat) samples. Furthermore, most of the virulence genes were found to cluster in the Salmonella pathogenicity island (SPI). In this study, all the isolates were found to possess SPI-1, which codes for the type III secretion system, which functions as actin-binding proteins (SptP and SopE). The virulence plasmid (VP) genes (spvB, spvC) were present in all genotypes except ST365. The findings of this study, particularly with regard to the molecular subtypes and AMR profiles of the Salmonella Enteritidis serotype shows multidrug-resistance features as well as genetic characteristics indicative of high pathogenicity.

Antimicrobial Resistance Profiles and Genetic Typing of Salmonella Serovars from Chicken Embryos in China

Salmonella continues to be a major food and public health burden worldwide that can threaten human health via eating contaminated meats, particularly those originating from chicken. In this study, the antimicrobial resistance profiles, epidemiological characteristics of resistance genes, and pulsed field gel electrophoresis (PFGE-XbaI) typing of 120 non-Pullorum/Gallinarum Salmonella isolates recovered from chicken embryos in Henan province were determined. The antimicrobial resistant phenotypes and evaluation of the extended-spectrum beta-lactamases (ESBLs) producing strains of Salmonella were investigated by the Kirby-Bauer test and the double-disk synergy test. Additionally, 37 antimicrobial resistance genes encoding resistance to five different categories, including aminoglycosides, cephalosporins, sulphonamides, tetracyclines, and β-lactams, were examined by conventional PCR. However, genotyping analysis was conducted by macro-restriction using enzyme XbaI followed by the separation of the restricted DNA fragments by PFGE. The results of this study showed that the studied Salmonella strains were highly resistant to ampicillin (66.67%) and sulfisoxazole (66.67%), while they were all susceptible to meropenem, imipenem, colistin, and chloramphenicol. Additionally, 67.5% (81/120) of the studied strains were multidrug resistant, and 21.67% (26/120) were phenotypically confirmed as ESBLs positive. The statistical analysis showed that resistance depends on the serovars, and ESBLs positive strains showed more multi-resistance than ESBLs negative strains (p < 0.05). The genotypic antimicrobial resistance showed the detection of 14 among the 37 tested genes, and the concordance between genotypic and phenotypic antimicrobial resistance ranged from 0% to 100% depending on the serovars. However, the PFGE-XbaI typing results showed that the examined Salmonella strains were divided into 22 individual subtypes and were grouped in nine clusters, with similarity values ranging from 64.7% to 100%. From this study, we can conclude that the antimicrobial resistance of Salmonella serovars isolated from chicken embryos in Henan province was alarming, with rigorous multidrug resistance, which requires the urgent mitigation of the use of antimicrobial drugs in chicken hatcheries. Additionally, our results showed evidence of the presence of different PFGE patterns among the studied Salmonella serovars, suggesting the presence of different sources of contamination.