Biology subjects

Stabler, R. A.

Publications and source records attributed to Stabler, R. A..

4 recordsLinked to original sources

bioRxiv2025

Prevalence of Campylobacter and non-typhoidal Salmonella along broiler chicken production and distribution networks, Vietnam

Campylobacter and non-typhoidal Salmonella (NTS) are among the most common foodborne pathogens found in chickens at any production stage and cause gastroenteritis in humans. This study aimed to estimate the prevalence of Campylobacter spp. (C. coli and C. jejuni) and NTS in broiler production and distribution networks (PDN) using a Bayesian approach. A cross-sectional study was conducted in four provinces in northern Vietnam between March 2021 and March 2022. A total of 102 sites, including live bird markets, slaughter facilities (slaughterhouses and slaughter points), and their supplying farms, were randomly selected for sampling. Cecal and environmental samples were cultured for isolation of Campylobacter and NTS, with serotypes of NTS determined by targeted analysis of whole genome sequences. Bayesian models were developed to estimate the prevalence of Campylobacter at two levels (bird-level and site-level) and NTS at site-level. The selected best-fitted models indicated that C. jejuni prevalence was primarily influenced by site type, while C. coli was affected by both province and site types. For NTS, only site type was included. The highest overall prevalence of infected broilers was estimated on farms for C. coli (26.2% [95% High Density Interval (HDI): 19.0-36.0%]) and C. jejuni (19.9% [95%HDI 13.0-27.0%]). Slaughter points (97.6% [95%HDI 63.3-99.9%]) and wholesale markets (91.7% [95%HDI 28.2-99.9%]) had the highest probability of C. coli and C. jejuni contamination, respectively, but retail markets had the highest proportion of infected broilers at contaminated sites. NTS contamination was more frequent in markets and slaughter facilities (42.8% [95%HDI 30.8-57.1%]) than on farms (18.6% [95%HDI 9.5-30.1%]). Among 16 detected NTS serotypes, S. Infantis and S. Kentucky were the most common. These findings highlight the widespread contamination of broiler PDNs with Campylobacter and NTS in northern Vietnam, emphasizing the need for enhanced surveillance and control measures in PDNs to mitigate the risk of foodborne transmission. Author SummaryCampylobacter spp. and non-typhoidal Salmonella (NTS) are enteric pathogens that are key global pathogens causing diarrheal diseases. The Campylobacter species that are most frequently responsible for human diseases (campylobacteriosis) are Campylobacter jejuni (C. jejuni) and Campylobacter coli (C. coli). The severity of the salmonellosis depends on host factors and the serotype of NTS. Poultry and poultry products are recognized as major sources of NTS and Campylobacter infections in humans. In Vietnam, these pathogens have been detected in the broiler production and distribution networks (PDN). Factors that may increase the risk of transmission of those pathogens include low biosecurity practices, inadequate waste management, and high farm density. In this work, we estimated the prevalence of Campylobacter spp. (C. coli and C. jejuni) and NTS in PDN markets and slaughterhouses and farms supplying these facilities in four provinces in northern Vietnam. We estimated a high prevalence of Campylobacter contamination in slaughter points and wholesale markets and higher NTS contamination in slaughter facilities and markets than in farms. S. Infantis was one of the most frequently identified serovars. However, it was not reported as being frequently detected in humans in Vietnam. Therefore, serovar may vary depending on the source and region of contamination. Our results help us look at levels of infection/contamination with Campylobacter and NTS in the broiler PDNs, thus informing stakeholders to prevent and control campylobacteriosis and salmonellosis.

microbiology↗

bioRxiv2024

Acanthamoeba castellanii as a model for unveiling Campylobacter jejuni host-pathogen dynamics

The persistence of the major enteric pathogen Campylobacter jejuni in the natural environment, despite being microaerophilic, remains unsolved. Its survival in the natural atmospheric environment likely stems from several factors, including interactions with amoebae. C. jejuni transiently interacts with Acanthamoebae and this is thought to provide protection against unfavourable atmospheric conditions and subsequently prime the bacteria for interactions with warm-blooded hosts. Acanthamoebae play vital roles in microbial ecosystems by preying on bacterial species, some of which are clinically important. We analysed the whole transcriptome of A. castellanii infected with C. jejuni 11168H. Our findings provide evidence that infection of A. castellanii with C. jejuni triggers distinct and reproducible cellular responses. Upregulated genes were associated with protein synthesis, DNA damage and repair, gluconeogenic pathways, and protein folding and targeting, while downregulated genes were involved in calcium ion transport, osmotic stress response, energy reserve metabolic processes, and protein hydroxylation. From this data we characterized Cj0979c, named here C. jejuni endonuclease (CjeN), which induces DNA damage in A. castellanii. High-resolution microscopy revealed an unexpected association between C. jejuni and host mitochondria, while infected cells show elevated cytosolic calcium levels and metabolic changes favouring "Warburg-like" metabolism. The increased lactate production was subsequently depleted, suggesting that this host metabolic by-product may support C. jejuni survival. These findings identify an unexpected interaction between amoebae and a microaerophilic bacterium and provides a useful model for further research on host-pathogen interactions.

microbiology↗

bioRxiv2023

Understanding Campylobacter coli isolates from the Vietnamese meat production network; a pilot study

Changing farming practices and the associated increase in the use of antibiotics are amongst the main drivers shaping the global increase of Campylobacter infections. The effects farming practices have on Campylobacter species, need to be studied at the global scale, particularly in emerging middle-income countries, where the demand for low-cost poultry meat is rising. While C. jejuni causes the majority of poultry associated diarrhoea, C. coli causes a significant amount of disease but are relatively understudied. In this study we characterised seven C. coli strains isolated from poultry farms and markets in Hanoi, Vietnam. Comprehensive data sets of bacterial Whole-Genome Sequencing; and phenotypic assays, such as, growth, motility, antimicrobial resistant testing along with virulence testing were performed to reveal the genetic relatedness and pathophysiological characteristics of seven C. coli strains. Six isolates were classified as multi-drug resistant, with all isolates resistant to ciprofloxacin, nalidixic acid and tetracycline, but susceptible to phenicols. All isolates had similar growth rates, while five were hyper-motile. Lethality of the isolates towards a tractable host-model system, larvae of the greater wax moth Galleria mellonella, often used to determine Campylobacter virulence was demonstrated for the first time for C. coli. Multilocus sequence typing data correlates with North American, European, and Asian isolates from patients suffering from gastroenteritis, emphasising the global spread of these strains. This work demonstrates that C. coli, with high levels of antimicrobial resistance, is an understudied global threat. Data summaryGenBank database with accession numbers JAKGTW000000000, JAKGTV000000000, JAKGTS000000000, JAKGTU000000000, JAKGTT000000000, JAKGTR000000000 and CP091310 https://www.ncbi.nlm.nih.gov/nuccore/JAKGTW000000000 https://www.ncbi.nlm.nih.gov/nuccore/JAKGTV000000000 https://www.ncbi.nlm.nih.gov/nuccore/JAKGTS000000000 https://www.ncbi.nlm.nih.gov/nuccore/JAKGTU000000000 https://www.ncbi.nlm.nih.gov/nuccore/JAKGTT000000000 https://www.ncbi.nlm.nih.gov/nuccore/JAKGTR000000000 https://www.ncbi.nlm.nih.gov/nuccore/CP091310.1 The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

microbiology↗

bioRxiv2019

Discordant bioinformatic predictions of antimicrobial resistance from whole-genome sequencing data of bacterial isolates: An inter-laboratory study

BackgroundAntimicrobial resistance (AMR) poses a threat to public health. Clinical microbiology laboratories typically rely on culturing bacteria for antimicrobial susceptibility testing (AST). As the implementation costs and technical barriers fall, whole-genome sequencing (WGS) has emerged as a one-stop test for epidemiological and predictive AST results. Few published comparisons exist for the myriad analytical pipelines used for predicting AMR. To address this, we performed an inter-laboratory study providing sets of participating researchers with identical short-read WGS data sequenced from clinical isolates, allowing us to assess the reproducibility of the bioinformatic prediction of AMR between participants and identify problem cases and factors that lead to discordant results.\n\nMethodsWe produced ten WGS datasets of varying quality from cultured carbapenem-resistant organisms obtained from clinical samples sequenced on either an Illumina NextSeq or HiSeq instrument. Nine participating teams ( participants) were provided these sequence data without any other contextual information. Each participant used their own pipeline to determine the species, the presence of resistance-associated genes, and to predict susceptibility or resistance to amikacin, gentamicin, ciprofloxacin and cefotaxime.\n\nResultsIndividual participants predicted different numbers of AMR-associated genes and different gene variants from the same clinical samples. The quality of the sequence data, choice of bioinformatic pipeline and interpretation of the results all contributed to discordance between participants. Although much of the inaccurate gene variant annotation did not affect genotypic resistance predictions, we observed low specificity when compared to phenotypic AST results but this improved in samples with higher read depths. Had the results been used to predict AST and guide treatment a different antibiotic would have been recommended for each isolate by at least one participant.\n\nConclusionsWe found that participants produced discordant predictions from identical WGS data. These challenges, at the final analytical stage of using WGS to predict AMR, suggest the need for refinements when using this technology in clinical settings. Comprehensive public resistance sequence databases and standardisation in the comparisons between genotype and resistance phenotypes will be fundamental before AST prediction using WGS can be successfully implemented in standard clinical microbiology laboratories.

microbiology↗