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Benschop, J.

Publications and source records attributed to Benschop, J..

2 recordsLinked to original sources

The characterisation of antimicrobial resistant Escherichia coli from dairy calves

Dairy calves, particularly pre-weaned calves have been identified as a common source of multidrug (MDR) resistant E. coli. However, the strains and whether their resistance genes are plasmid or chromosomally located have not been well characterised. Our study examined the phenotype and genotype of antimicrobial resistant E. coli isolated from young calves ([≤] 14 days old). Recto-anal swab enrichments from 40 dairy calves located on four dairy farms were examined for tetracycline, streptomycin, ciprofloxacin, and third-generation cephalosporin resistant E. coli. Fifty-eight percent (23/40) of calves harboured antimicrobial resistant E. coli: 18/40 (45%) harboured tetracycline resistant and 25% (10/40) harboured chromosomal mediated AmpC producing E. coli. Whole genome sequencing of 27 isolates revealed five sequence types, with ST88 being the dominant ST (17/27, 63% of the sequenced isolates) followed by ST1308 (3/27, 11%), along with the extraintestinal pathogenic E. coli lineages ST69 (3/27), ST10 (2/27, 7%), and ST58 (1/27, 4%). Additionally, 16 isolates were MDR, harbouring additional resistance genes that were not tested phenotypically. Oxford Nanopore long-read sequencing technologies enabled the location of multiple resistant gene cassettes in IncF plasmids to be determined. A phylogenetic comparison of the ST10 and ST69 isolates demonstrated that the calf derived isolates were distinct from other New Zealand animal, human, and environmental isolates. and highlights the importance of understanding the sources of antimicrobial resistance.

microbiology↗

Investigation of the validity of two Bayesian ancestral state reconstruction models for estimating Salmonella transmission during outbreaks

Ancestral state reconstruction models use genetic data to characterize a group of organisms common ancestor. These models have been applied to salmonellosis outbreaks to estimate the number of transmissions between different animal species that share similar geographical locations, with animal host as the state. However, as far as we are aware, no studies have validated these models for outbreak analysis. In this study, salmonellosis outbreaks were simulated using a stochastic Susceptible-Infected-Recovered model, and the host population and transmission parameters of these simulated outbreaks were estimated using Bayesian ancestral state reconstruction models (discrete trait analysis (DTA) and structured coalescent (SC)). These models were unable to accurately estimate the number of transmissions between the host populations or the amount of time spent in each host population. The DTA model was inaccurate because it assumed the number of isolates sampled from each host population was proportional to the number of individuals infected within each host population. The SC model was inaccurate possibly because it assumed that each host populations effective population size was constant over the course of the simulated outbreaks. This study highlights the need for phylodynamic models that can take into consideration factors that influence the characteristics and behavior of outbreaks, e.g. changing effective population sizes, variation in infectious periods, intra-population transmissions, and disproportionate sampling of infected individuals.

epidemiology↗