Evidence of structural rearrangements in ESBL-positive pESI(like) megaplasmids of S.Infantis.
Patricia AlbaVirginia CarforaFabiola FeltrinElena Lavinia DiaconuLuigi SorbaraElena Dell'AiraTamara CerciAngela IanzanoValentina DonatiAlessia FrancoAntonio BattistiPublished in: FEMS microbiology letters (2023)
The increasing prevalence of pESI(like)-positive, multidrug-resistant (MDR) S. Infantis in Europe is a cause of major concern. As previously demonstrated, the pESI(like) megaplasmid is not only a carrier of antimicrobial resistant (AMR) genes (at least tet, dfr and sul genes), but also harbours several virulence and fitness genes, and toxin/antitoxin systems that enhance its persistence in the S. Infantis host. In this study, five prototype pESI(like) plasmids, of either CTX-M-1 or CTX-M-65 ESBL producing strains, were long-read sequenced using Oxford Nanopore Technology (ONT) and their complete sequences were resolved. Comparison of the structure and gene content of the five sequenced plasmids, and further comparison with previously published pESI(like) sequences, indicated that although the sequence of such pESI(like) 'mosaic' plasmids remains almost identical, their structures appear different and composed of regions inserted or tran sposed after different events. The results obtained in this study are essential to better understand the plasticity and the evolution of the pESI(like) megaplasmid, and therefore to better address risk management options and policy decisions to fight against AMR and MDR in Salmonella and other food-borne pathogens.
Keyphrases
- escherichia coli
- klebsiella pneumoniae
- multidrug resistant
- gram negative
- genome wide
- drug resistant
- genome wide identification
- acinetobacter baumannii
- staphylococcus aureus
- biofilm formation
- public health
- antimicrobial resistance
- physical activity
- risk factors
- copy number
- randomized controlled trial
- single molecule
- high resolution
- mass spectrometry
- gene expression
- dna methylation
- mental health
- bioinformatics analysis
- meta analyses