In Silico Detection of Integrons and Their Relationship with Resistance Phenotype of Salmonella Isolates from a Brazilian Pork Production Chain.
Rafaela da Silva RodriguesNatália Ferreira de AraujoCibeli VianaRicardo Seiti YamatogiLuís Augusto NeroPublished in: Foodborne pathogens and disease (2024)
The pork production chain is an important reservoir of antimicrobial resistant bacteria. This study identified and characterized integrons in Salmonella isolates from a Brazilian pork production chain and associate them with their antibiotic resistance pattern. A total of 41 whole-genome sequencing data of nontyphoidal Salmonella were analyzed using PlasmidSPAdes and IntegronFinder software. Nine isolates (21.9%) had some integrons identified (complete and/or incomplete). Six complete class 1 integrons were found, with streptomycin resistance genes ( aadA1 , aadA2 ) alone or downstream of a trimethoprim resistance gene ( dfrA1 , dfrA12) , and some also containing resistance genes for sulfonamides ( sul1 , sul3 ) and chloramphenicol ( cmlA1 ). Class 2 integron was detected in only one isolate, containing dfrA1 - sat2 - aadA1 gene cassettes. Five isolates harbored CALINs-clusters attC but lacking integrases-with antimicrobial resistance genes typically found in integron structures. In all, integrons were observed among four serotypes: Derby, Bredeney, Panama, and monophasic var. Typhimurium I 4,[5],12:i:-. The association of integrons with antibiotic resistance phenotype showed that these elements were predominantly identified in multidrug resistance isolates, and six of the seven gentamicin-resistant isolates had integrons. So, surveillance of integrons in Salmonella should be performed to identify the potential for the spread of antimicrobial resistance genes among bacteria.
Keyphrases
- antimicrobial resistance
- genome wide
- genome wide identification
- antibiotic resistance genes
- escherichia coli
- listeria monocytogenes
- genome wide analysis
- bioinformatics analysis
- copy number
- genetic diversity
- staphylococcus aureus
- public health
- electronic health record
- mass spectrometry
- gene expression
- microbial community
- high resolution
- deep learning
- climate change
- label free
- human health
- sensitive detection