Prevalence of &lt;i&gt;Salmonella&lt;/i&gt; and Antimicrobial Resistance in Isolates from Food Animals — Six PLADs, China, 2019

Cao, Tingting; Liu, Peng; Li, Yiming; Cui, Mingquan; Zhang, Chunping; Wang, Yang; Shen, Zhangqi; Shen, Jianzhong; Ke, Yuebin; Wang, Shaolin; Wu, Yongning

doi:10.46234/ccdcw2021.132

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…enterica represents the most prevalent sub-species related to human and animal infections, accounting of at least 1500 serovars [1,3]. In foodproducing animals, such as dairy cattle, the increasing prevalence of Salmonella enterica has become a major public and animal health issue [4]. Infected cattle can shed Salmonella into the environment for prolonged periods after subclinical infections [5], which can survive outside the host, perpetuating in-herd transmission [6].…”

Section: Introductionmentioning

confidence: 99%

Serovars, Virulence and Antimicrobial Resistance Genes of Non-Typhoidal Salmonella Strains from Dairy Systems in Mexico

Barrera,

Vázquez-Flores,

Needle

et al. 2023

Antibiotics

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Salmonella isolated from dairy farms has a significant effect on animal health and productivity. Different serogroups of Salmonella affect both human and bovine cattle causing illness in both reservoirs. Dairy cows and calves can be silent Salmonella shedders, increasing the possibility of dispensing Salmonella within the farm. The aim of this study was to determine the genomic characteristics of Salmonella isolates from dairy farms and to detect the presence of virulence and antimicrobial resistance genes. A total of 377 samples were collected in a cross-sectional study from calves, periparturient cow feces, and maternity beds in 55 dairy farms from the states of Aguascalientes, Baja California, Chihuahua, Coahuila, Durango, Mexico, Guanajuato, Hidalgo, Jalisco, Queretaro, San Luis Potosi, Tlaxcala, and Zacatecas. Twenty Salmonella isolates were selected as representative strains for whole genome sequencing. The serological classification of the strains was able to assign groups to only 12 isolates, but with only 5 of those being consistent with the genomic serotyping. The most prevalent serovar was Salmonella Montevideo followed by Salmonella Meleagridis. All isolates presented the chromosomal aac(6′)-Iaa gene that confers resistance to aminoglycosides. The antibiotic resistance genes qnrB19, qnrA1, sul2, aph(6)-Id, aph(3)-ld, dfrA1, tetA, tetC, flor2, sul1_15, mph(A), aadA2, blaCARB, and qacE were identified. Ten pathogenicity islands were identified, and the most prevalent plasmid was Col(pHAD28). The main source of Salmonella enterica is the maternity areas, where periparturient shedders are contaminants and perpetuate the pathogen within the dairy in manure, sand, and concrete surfaces. This study demonstrated the necessity of implementing One Health control actions to diminish the prevalence of antimicrobial resistant and virulent pathogens including Salmonella.

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Section: Introductionmentioning

confidence: 99%

Serovars, Virulence and Antimicrobial Resistance Genes of Non-Typhoidal Salmonella Strains from Dairy Systems in Mexico

Barrera,

Vázquez-Flores,

Needle

et al. 2023

Antibiotics

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Characterization of two virulent Salmonella phages and transient application in egg, meat and lettuce safety

Sun,

Xue,

Cong

et al. 2024

Food Research International

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Microbiological Risk Assessment of High-Demand Food from Three Major Cities in Ecuador

Salazar Llorente,

Cobos Mora,

Caicedo Hinojosa

et al. 2024

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The current study was carried out to estimate the risk of disease probability from the consumption of foods such as meats, poultry, unpasteurized cheeses, fruit-based drinks, ready-to-eat fruits, and typical preparations such as Encebollado, ceviche, and Bolón de Verde contaminated with Salmonella, Escherichia coli and Listeria monocytogenes in Ecuador using a quantitative microbiological risk assessment (QMRA). A first-order Monte Carlo simulation probabilistic distribution approach was adopted to assess the occurrence of pathogens in the tested foods. The scenario was simulated using the concentration levels concerning the contaminant and food consumption obtained through an online survey with a sample size of 202 people. A model (100,000 iterations) was run and created in an Excel spreadsheet using @Risk software. The results obtained are the risk of infection (possibilities of becoming infected by eating the food evaluated) and the contaminant dose per portion consumed. Additionally, an exponential model with a single dose was used for risk characterization to determine the probability of becoming ill from contaminated food. The QMRA model performed a prediction for the mean risk of Salmonella infection from ground beef consumption of 1.33 E - 04 log 10 cfu / serving, while the exponential model estimated a value of 1.0 log cfu - serving. In the case of Listeria monocytogenes, the QMRA estimated an average probability of infection in unpasteurized fresh cheese of 5.9E-05 compared to the average disease risk estimated in the risk characterization for L. monocytogenes of 9.50E-13. The QMRA estimated an average risk of infection by E. coli for Encebollado and ceviches of 5.6E -03 compared to the average risk of disease estimated in the risk characterization for Escherichia coli of 0.387 log cfu -ration. These results suggest the need to adopt effective mitigation strategies. Control parameters such as temperature during the supply chain and good hygiene practices during manufacturing can effectively control food-associated pathogens. More data is necessary toimprove the evaluation of the risk developed. Keywords: Microbiological risk análisis, Infectious biological agents (Salmonella, Listeria monocytogenes, Escherichia coli), QMRA (Quantitative Microbial Risk Assessment), Typical foods in Ecuador, Population food consumption in three main cities of Ecuador.

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Prevalence of <i>Salmonella</i> and Antimicrobial Resistance in Isolates from Food Animals — Six PLADs, China, 2019

Cited by 4 publications

References 10 publications

Serovars, Virulence and Antimicrobial Resistance Genes of Non-Typhoidal Salmonella Strains from Dairy Systems in Mexico

Serovars, Virulence and Antimicrobial Resistance Genes of Non-Typhoidal Salmonella Strains from Dairy Systems in Mexico

Characterization of two virulent Salmonella phages and transient application in egg, meat and lettuce safety

Microbiological Risk Assessment of High-Demand Food from Three Major Cities in Ecuador

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