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Companion animals are recognized as potential reservoirs and transmitters of antimicrobial resistance (AMR) within the One Health framework. However, in-depth knowledge on AMR in pet animals remains limited. This study aimed to characterize Salmonella from companion dogs and cats using Whole Genome Sequencing (WGS). A total of 25 Salmonella obtained from clinically healthy household dogs and cats were serotyped and had their antimicrobial susceptibility tested. A discrepancy between the serovars identified by traditional slide agglutination tests and those determined by WGS analysis was observed. The isolates exhibited multidrug resistance (MDR) ( n  = 18) and harbored several resistance genes either chromosomally encoded or plasmid associated. Tn 3 and IS 26 were commonly found flanking AMR genes and class 1 integrons, while an unusual qacL -IS 256 - sul3 arrangement was also frequently observed. Similar AMR genes and insertion sequences were found among dogs and cats from different provinces, suggesting clonal spread and horizontal gene transfer of AMR. The similarity between plasmids (i.e., IncX1 and IncI1 plasmid) carrying AMR genes (e.g., aadA1 , qacL , sul3 , bla TEM-1B , qnrS1 , dfrA , tetA ) in Salmonella from pets in this study and those from other sources (e.g., humans, food producing animals and environment) in different countries was revealed, suggesting that pet dogs and cats may play a significant role in the global spread of AMR. The finding underscores the role of household pets as silent reservoirs of MDR Salmonella and the need for a One Health approach to tackle the issue. Public health campaigns promoting hygiene practices among pet owners should be encouraged. Pet animals should be incorporated into AMR monitoring and surveillance programs as a component of One Health framework.

Bovine leukemia virus (BLV) is the etiological agent of enzootic bovine leukosis, which is the most common neoplastic disease of cattle. BLV infects cattle worldwide and causes serious problems for the cattle industry. In this study, we examined the prevalence of BLV infection and the distribution of BLV genotypes in cattle in the northern, central, and southern parts of Myanmar. The prevalence of BLV infection among Myanmar cattle (37.04%) in this study was markedly higher than the prevalence (9.1%) observed in our earlier study in which BLV was detected from the limited number of cattle only from a small area of Myanmar. Phylogenetic analysis of partial env-gp51 sequence of the isolated BLV strains revealed that there are at least three BLV genotypes (genotype-1, genotype-6, and genotype-10) in Myanmar, which have also been detected in the neighboring countries. We performed this study to estimate the BLV proviral load, which is a major diagnosis index for determining the virus transmission risk. The cattle of the three test regions with warm, wet, and humid climatic conditions (upper Sagaing, Yangon, and Kayin) exhibited a high mean proviral load, while cattle of three other regions with low annual rainfall and very high temperature (Mandalay, Magway, and upper Bago) exhibited a low mean proviral load. Further, the level of proviral load and the prevalence of BLV infection in Myanmar native cattle (N = 235) were lower than that in the hybrid cattle (Holstein Friesian × Myanmar native) (N = 62). We also observed that the cattle with high risk for BLV transmission, which have high proviral load, may enhance the BLV infection rate. Hence, to control BLV transmission, it is necessary to eliminate these cattle with high-risk for BLV transmission and to diagnose BLV provirus in cattle in the remaining regions/states of Myanmar sharing a boundary with neighboring countries.

Probiotics have been popularly used in livestock production as an alternative to antibiotics. This study aimed to investigate the microbiological quality and phenotypic and genotypic antimicrobial resistance of bacteria in probiotic products sold for food animals. A total of 45 probiotic products were examined for the number of viable cells, species, and antimicrobial susceptibility; the contamination of Escherichia coli and Salmonella; and the presence of 112 genes encoding resistance to clinically important antimicrobials and transferability of AMR determinants. The results showed that 29 of 45 products (64.4%) were incorrectly labeled in either number of viable cells or bacterial species. None of the tested products were contaminated with E. coli and Salmonella. A total of 33 out of 64 bacterial isolates (51.6%) exhibited resistance to at least one antimicrobial agent. Of the 45 products tested, 16 (35.5%) carried AMR genes. Almost all AMR genes detected in probiotic products were not correlated to the AMR phenotype of probiotic strains formulated in the products. Three streptomycin-resistant Lactobacillus isolates could horizontally transfer their AMR determinants. The findings demonstrated that the probiotic products could serve as reservoirs for the spread of AMR genes and may not yield benefits to animals as claimed. The need for the adequate quality control of probiotic products is highlighted.

Background/Objectives: This study assessed the risk associated with third-generation cephalosporin- and fluoroquinolone-resistant Salmonella from pork consumption by integrating phenotypic resistance profiles with genetic data to characterize the risks and transmission pathways. Methods: Salmonella were isolated from raw pork meat samples (n = 793) collected from fresh markets and hypermarkets across Bangkok during 2021–2022, of which 150 were extended-spectrum β-lactamase (ESBL)-producing and 31 were fluoroquinolone-resistant isolates. Phenotypic and genotypic resistance profiles were characterized. Quantitative antimicrobial resistance risk assessment (AMR RA) was conducted using a dose–response model. Results: Salmonella spp. was detected in 42.75% of pork samples, with a higher prevalence in fresh markets (75.5%) than in hypermarket samples and with concentrations ranging from 1.3 to 180 MPN/g. Twenty-eight percent of isolates were ESBL producers, with ciprofloxacin and levofloxacin resistance observed in 5.3% and 3.0%, respectively. The blaCTX-M55 genes were located on conjugative plasmids. Whole genome sequencing revealed both vertical and horizontal gene transfer. IncHI2/N and IncC plasmids shared conserved backbones and resistance gene architectures, indicating horizontal dissemination of resistance genes. Phylogenomics suggested possible clonal transmission among pigs, pork, and humans. AMR RA estimated 88,194 annual illness cases per 100,000 people from ESBL-producing Salmonella and 61,877 from ciprofloxacin-resistant strain, compared with 95,328 cases predicted by QMRA from Salmonella contamination. Cooking pork at ≥64 °C for 3 min eliminated the risk in all scenarios. Sensitivity analysis identified initial contamination level and cooking temperature as key determinants. Conclusions: Raw pork meat consumption represents the highest risk, which can be mitigated by thorough cooking (>64 °C, ≥3 min), while integrating genomic data enhances AMR hazard identification, source attribution, and exposure assessment. Therefore, promoting well-cooked meat consumption and safe cooking practices, alongside the use of AMR genetic data to inform targeted interventions, is recommended.

Airborne dust in veterinary facilities can act as a reservoir for pathogens and contribute to the spread of antimicrobial resistance (AMR). This study examines airborne bacteria and their resistance profiles in veterinary hospitals and clinics. A total of 179 airborne dust samples were collected from treatment rooms ( = 103) and inpatient wards ( = 76) across 103 veterinary facilities. Total bacterial loads were quantified by direct plate counts and averaged per sample. ESKAPE pathogens, along with Escherichia coli, Salmonella, and Streptococcus, were isolated and assessed for resistance to clinically important antimicrobials, disinfectant minimum inhibitory concentrations (MICs), and plasmid conjugative transfer. Airborne bacterial concentrations varied widely, ranging from 33.37 to 2,881.82 CFU/m . High bacterial loads (>1,000 CFU/m ) were observed in a small proportion of treatment rooms (9.7%) and inpatient wards (9.2%), with mean concentrations of 1,243.8 CFU/m and 1,550.8 CFU/m , respectively. and were the most frequently detected genera (71.8% and 55.3%, respectively), while predominated among Gram-negative bacteria (37.9%). Airborne isolates resistant to clinically important antimicrobials were isolated, including ciprofloxacin-, ceftazidime-, or colistin-resistant ; vancomycin-resistant spp.; meropenem-, imipenem-, levofloxacin-, or tigecycline-resistant spp.; and mupirocin- or cefoxitin-resistant spp. Notably, isolates demonstrated horizontal transfer of ampicillin- and colistin-resistance-encoding plasmids to . MIC distributions for triclosan, chlorhexidine, and benzalkonium chloride were narrow, indicating no or limited reduced susceptibility to these disinfectants. Significant associations between disinfectant MICs and AMR were observed ( < 0.05), supporting potential co-selection and cross-resistance. In , these associations were confined to chlorhexidine and correlated with resistance to certain antibiotics. In Enterococcus, these associations were confined to chlorhexidine and correlated with resistance to certain antibiotics. Indoor airborne dust in veterinary facilities may serve as a potential reservoir of pathogens, posing risks to animal and human health and underscoring the need for strengthened antimicrobial stewardship, infection control, ventilation, and routine AMR bioaerosol surveillance within a One Health framework.

This study aims to investigate bacterial communities and antimicrobial resistance (AMR) in airborne dust from pig farms. Airborne dust, pig feces and feed were collected from nine pig farms in Thailand. Airborne dust samples were collected from upwind and downwind (25 meters from pig house), and inside (in the middle of the pig house) of the selected pig house. Pig feces and feed samples were individually collected from the pen floor and feed trough from the same pig house where airborne dust was collected. A direct total bacteria count on each sampling plate was conducted and averaged. The ESKAPE pathogens together with Escherichia coli, Salmonella , and Streptococcus were examined. A total of 163 bacterial isolates were collected and tested for MICs. Pooled bacteria from the inside airborne dust samples were analyzed using Metagenomic Sequencing. The highest bacterial concentration (1.9–11.2 × 10 3 CFU/m 3 ) was found inside pig houses. Staphylococcus ( n = 37) and Enterococcus ( n = 36) were most frequent bacterial species. Salmonella ( n = 3) were exclusively isolated from feed and feces. Target bacteria showed a variety of resistance phenotypes, and the same bacterial species with the same resistance phenotype were found in airborne dust, feed and fecal from each farm. Metagenomic Sequencing analysis revealed 1,652 bacterial species across all pig farms, of which the predominant bacterial phylum was Bacillota. One hundred fifty-nine AMR genes of 12 different antibiotic classes were identified, with aminoglycoside resistance genes (24%) being the most prevalent. A total of 251 different plasmids were discovered, and the same plasmid was detected in multiple farms. In conclusion, the phenotypic and metagenomic results demonstrated that airborne dust from pig farms contained a diverse array of bacterial species and genes encoding resistance to a range of clinically important antimicrobial agents, indicating the significant role in the spread of AMR bacterial pathogens with potential hazards to human health. Policy measurements to address AMR in airborne dust from livestock farms are mandatory.

Background Myanmar cattle populations predominantly consist of native cattle breeds (Pyer Sein and Shwe), characterized by their geographical location and coat color, and the Holstein-Friesian crossbreed, which is highly adapted to the harsh tropical climates of this region. Here, we analyzed the diversity and genetic structure of the BoLA-DRB3 gene, a genetic locus that has been linked to the immune response, in Myanmar cattle populations. Methods Blood samples (n = 294) were taken from two native breeds (Pyer Sein, n = 163 and Shwe Ni, n = 69) and a cattle crossbreed (Holstein-Friesian, n = 62) distributed across six regions of Myanmar (Bago, n = 38; Sagaing, n = 77; Mandalay, n = 46; Magway, n = 46; Kayin, n = 43; Yangon, n = 44). In addition, a database that included 2428 BoLA-DRB3 genotypes from European (Angus, Hereford, Holstein, Shorthorn, Overo Negro, Overo Colorado, and Jersey), Zebuine (Nellore, Brahman and Gir), Asian Native from Japan and Philippine and Latin-American Creole breeds was also included. Furthermore, the information from the IPD–MHC database was also used in the present analysis. DNA was genotyped using the sequence-based typing method. DNA electropherograms were analyzed using the Assign 400ATF software. Results We detected 71 distinct alleles, including three new variants for the BoLA-DRB3 gene. Venn analysis showed that 11 of these alleles were only detected in Myanmar native breeds and 26 were only shared with Asian native and/or Zebu groups. The number of alleles ranged from 33 in Holstein-Friesians to 58 in Pyer Seins, and the observed versus unbiased expected heterozygosity were higher than 0.84 in all the three the populations analyzed. The FST analysis showed a low level of genetic differentiation between the two Myanmar native breeds (FST = 0.003), and between these native breeds and the Holstein-Friesians (FST <  0.021). The average FST value for all the Myanmar Holstein-Friesian crossbred and Myanmar native populations was 0.0136 and 0.0121, respectively. Principal component analysis (PCA) and tree analysis showed that Myanmar native populations grouped in a narrow cluster that diverged clearly from the Holstein-Friesian populations. Furthermore, the BoLA-DRB3 allele frequencies suggested that while some Myanmar native populations from Bago, Mandalay and Yangon regions were more closely related to Zebu breeds (Gir and Brahman), populations from Kayin, Magway and Sagaing regions were more related to the Philippines native breeds. On the contrary, PCA showed that the Holstein-Friesian populations demonstrated a high degree of dispersion, which is likely the result of the different degrees of native admixture in these populations. Conclusion This study is the first to report the genetic diversity of the BoLA-DRB3 gene in two native breeds and one exotic cattle crossbreed from Myanmar. The results obtained contribute to our understanding of the genetic diversity and distribution of BoLA-DRB3 gene alleles in Myanmar, and increases our knowledge of the worldwide variability of cattle BoLA-DRB3 genes, an important locus for immune response and protection against pathogens.

This study aimed to investigate the prevalence, virulence genes and antimicrobial resistance of Streptococcus suis from pigs in Upper-Northern Thailand. A total of 768 nasal swabs were obtained from pigs at the municipal slaughterhouses in five provinces including Phayao (n=202), Nan (n=190), Chiang Rai (180), Chiang Mai (n=130), and Mae Hong Son (n=66) in 2018-2019. The prevalence of 5. suis varied from 3.0%-9.4%, of which the highest prevalence was in Chiang Rai (9.4%) and Mae Hong Son (9.1%). Of all 59 isolates confirmed to be 5. suis, serotype 8 (50.8%) was most commonly identified, followed by serotype 10 (3.4%), 2 (1.7%) and 9 (1.7%). The only one S. suis serotype 2 originated from Phayao. Twenty-five isolates (42.4%) could not be typed. The sly gene was the most frequent virulence genes, while mrp-sly-arcA-hyl (33.9%) was the most common virulence gene profile. All the isolates carried arcA, but none were positive to epf. The S. suis isolates exhibited high resistance rates to all antimicrobial agents tested (more than 50%) and all were multidrug resistant (100%). The most common resistance pattern was CLI-CTC-ERY-GEN-NEOOTC-TET-TIL-TYL (5.1%). The isolates were positive to КМ) (32.3%), КО) (30.5%) and mefA (8.47%). In conclusion, the results confirm the important role of subclinical carrier pigs of 5. suis and emphasize the need for routine detection of S. suis in clinically healthy pigs.

Background: Myanmar cattle populations predominantly consist of native cattle breeds (Pyer Sein and Shwe), characterized by their geographical location and coat color, and the Holstein-Friesian crossbreed, which is highly adapted to the harsh tropical climates of this region. Here, we analyzed the diversity and genetic structure of the BoLA-DRB3 gene, a genetic locus that has been linked to the immune response, in Myanmar cattle populations. Methods: Blood samples (n=294) were taken from two native breeds (Pyer Sein, n=163 and Shwe Ni, n=69) and a cattle crossbreed (Holstein-Friesian, n=62) distributed across six regions of Myanmar (Bago, n=38; Sagaing, n=77; Mandalay, n=46; Magway, n=46; Kayin, n=43; Yangon, n=44). In addition, a database that included 2,428 BoLA-DRB3 genotypes from European (Angus, Hereford, Holstein, Shorthorn, Overo Negro, Overo Colorado, and Jersey), Zebuine (Nellore, Brahman and Gir), Asian Native from Japan and Philippine and Latin-American Creole breeds was also included. Furthermore, the information from the IPD–MHC database was also used in the present analysis. DNA was genotyped using the sequence-based typing method. DNA electropherograms were analyzed using the Assign 400ATF software. Results: We detected 71 distinct alleles, including three new variants for the BoLA-DRB3 gene. Venn analysis showed that 11 of these alleles were only detected in Myanmar native breeds and 26 were only shared with Asian native and/or Zebu groups. The number of alleles ranged from 33 in Holstein-Friesians to 58 in Pyer Seins, and the observed versus unbiased expected heterozygosity were higher than 0.84 in all the three the populations analyzed. The FST analysis showed a low level of genetic differentiation between the two Myanmar native breeds (FST=0.003), and between these native breeds and the Holstein-Friesians (FST < 0.021). The average FST value for all the Myanmar Holstein-Friesian crossbred and Myanmar native populations was 0.0136 and 0.0121, respectively. Principal component analysis (PCA) and tree analysis showed that Myanmar native populations grouped in a narrow cluster that diverged clearly from the Holstein-Friesian populations. Furthermore, the BoLA-DRB3 allele frequencies suggested that while some Myanmar native populations from Bago, Mandalay and Yangon regions were more closely related to Zebu breeds (Gir and Brahman), populations from Kayin, Magway and Sagaing regions were more related to the Philippines native breeds. On the contrary, PCA showed that the Holstein-Friesian populations demonstrated a high degree of dispersion, which is likely the result of the different degrees of native admixture in these populations. Conclusion: This study is the first to report the genetic diversity of the BoLA-DRB3 gene in two native breeds and one exotic cattle crossbreed from Myanmar. The results obtained contribute to our understanding of the genetic diversity and distribution of BoLA-DRB3 gene alleles in Myanmar, and increases our knowledge of the worldwide variability of cattle BoLA-DRB3 genes, an important locus for immune response and protection against pathogens.

Background To fight the current coronavirus disease (COVID-19) pandemic, many countries have implemented various mitigation measures to contain the spread of the disease. By engaging with health service providers, the community’s participation in adherence to preventive measures is certainly required in the implementation of COVID-19 mitigation strategies. Therefore, this study aimed to assess the level of adherence to COVID-19 preventive measures and its associated factors among the residents, Yangon Region, Myanmar. Methods A community-based cross-sectional study was carried out among 636 residents in Yangon Region, Myanmar, from October to December 2021. A multistage non-probability sampling method, purposively selected for three townships in Yangon Region and convenience sampling for 212 participants from each township, was applied and the data were collected by face-to-face interviews using structured and pretested questionnaires. Data were entered, coded, and analyzed using IBM SPSS version 25.0. Simple and multiple logistic regression analysis were performed to identify the significant variables of adherence to COVID-19 preventive measures. Results As a level of adherence to COVID-19 preventive measures, the proportion of residents who had good adherence was 39.3% (95% CI 35.5–43.2%), moderate adherence was 37.6% (95% CI 33.8–41.5%), and poor adherence was 23.1% (95% CI 19.9–26.6%). The age group of 31–40 years (AOR: 3.13, 95% CI 1.62–6.05), 30 years and younger (AOR: 3.22, 95% CI 1.75–5.92), Burmese ethnicity (AOR: 2.52, 95% CI 1.44–4.39), own business (AOR: 3.19, 95% CI 1.15–8.87), high school education level and below (AOR: 1.64, 95% CI 1.02–2.69), less than 280.90 USD of monthly family income (AOR: 1.51, 95% CI 1.01–2.29), low knowledge about COVID-19 (AOR: 1.90, 95% CI 1.26–2.88) were significantly associated with poor adherence to COVID-19 preventive measures. Conclusions In this study, nearly one-fourth of the residents were experiencing poor adherence to COVID-19 preventive measures. Therefore, building up the risk communication through the community using widely used mainstream media, the continuation of disease surveillance and announcement of updated information or advice for the public to increase awareness towards COVID-19, and enforcement to follow the recommended directions and regulations of health institutions are vital to consider for improving the adherence to preventive measures against COVID-19 among the residents.