Prevalence and characteristics of multidrug-resistant Escherichia coli sequence type ST131 at two academic centers in Boston and Minneapolis, USA

Mahoney, Mélanie T; Brigman, Hunter V; Johnston, Brian; Johnson, James R.; Hirsch, Elizabeth B.

doi:10.1016/j.ajic.2022.06.019

Cited by 1 publication

(1 citation statement)

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“… 8 , 9 Both isolates of phylotype B2 belonged to the MDR clonal lineage MLST 131 and were isolated from samples of chicken meat; see Figure S1 (available as Supplementary data at JAC Online). 10 A circular cladogram based on the MUMmer analysis is shown in Figure 1 , indicating a diverse set of E. coli in all animal hosts, although some clusters of possible clonal lineage are present. A total of 15 clusters were detected for which core genomes per cluster were determined.…”

Section: Resultsmentioning

confidence: 99%

Implementation of WGS analysis of ESBL-producing Escherichia coli within EU AMR monitoring in livestock and meat

Brouwer,

Zandbergen Van Essen,

Kant

et al. 2023

Journal of Antimicrobial Chemotherapy

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Background As WGS comes of age, changes in EU legislation implemented in 2021 allow its usage for systematic monitoring of ESBL-producing Escherichia coli from livestock and meat, replacing phenotypic testing. Presently, phenotypic testing correlates well with antimicrobial resistance predicted from WGS data. WGS has added value in the wealth of additional information that is present in the data. Objectives In this study we have detected the resistance phenotypes for a panel of antimicrobials while also analysing the molecular epidemiology of ESBL-producing E. coli. Methods Susceptibility testing was performed with broth microdilution of selectively isolated E. coli. Short-read WGS was performed in parallel and phenotypes predicted based on the sequence data, which was also used to determine the phylogeny of the isolates. Results The phenotypically determined resistance and the predicted resistance correlated 90%–100% for the different antimicrobial classes. Furthermore, clonal relationships were detected amongst ESBL-producing E. coli within livestock sectors and the meat produced by this sector. Conclusions Further implementation of WGS analysis of ESBL/AmpC-producing E. coli within the AMR monitoring programme of EU member states and global surveillance programmes will contribute to determining the attribution of livestock in the prevalence of ESBL/AmpC-encoding E. coli in humans.

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Section: Resultsmentioning

confidence: 99%