Vibrio mimicus carrying the Type III Secretion System 2 (T3SS2) and TDH toxin of Vibrio parahaemolyticus in an integrative conjugative element context
Morgado, S.; Fonseca, E.; Vicente, A. C. P.
Show abstract
ObjectivesIdentify possible virulence factors in the genomes of Vibrio mimicus that may be determinants of diarrheal cases/outbreaks. MethodsAll V. mimicus genomes from Genbank were retrieved and the virulome was searched with Abricate using the VFDB database. Genomic islands (GIs) and integrative conjugative elements (ICEs) were identified using IslandViewer and ICEberg, respectively. ResultsFive ctx-negative V. mimicus genomes carrying the Type III Secretion System 2 (T3SS2) and the TDH/TRH toxin from Vibrio parahaemolyticus were identified. The T3SS-positive genomes presented the phylotypes T3SS2 and T3SS2{beta} and formed two clusters and one singleton throughout the V. mimicus phylogeny. Genomes carrying T3SS2 and T3SS2{beta} were associated with the tdh and trh genes, respectively. Furthermore, genomic analyses characterized an integrative conjugative element (ICE) with a size of [~]150 kb carrying both V. parahaemolyticus virulence determinants. ConclusionsIn addition to looking for cholera toxin genes in V. mimicus cases/outbreaks, it is important to consider V. parahaemolyticus toxins such as TDH and TRH. Furthermore, an ICE was identified and characterized in V. mimicus, being associated with T3SS2 and the TDH toxin, which is worrying, as it can disseminate these virulence factors among Vibrio spp.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Genomic analysis of pathogenic isolates of Vibrio cholerae from eastern Democratic Republic of the Congo (2014-2017) 96%
- Genomic analysis of the diversity, antimicrobial resistance and virulence potential of Campylobacter jejuni and Campylobacter coli strains from Chile 96%
- Genomic characterization of invasive typhoidal and non-typhoidal Salmonella in southwestern Nigeria 94%
Similar papers in this journal
- Bacteriophage activity against and characterisation of avian pathogenic Escherichia coli isolated from colibacillosis cases in Uganda 95%
- Genomic insight into the Comamonas kerstersii isolated from diarrheal patients in Bangladesh 95%
- Novel strains of Campylobacter cause diarrheal outbreak in Rhesus macaques (Macaca mulatta) of Kathmandu Valley 95%
Similar papers in this journal
- Comparative genomics of Chinese and international isolates of Escherichia albertii: population structure and evolution of virulence and antimicrobial resistance 96%
- Revisiting typing systems for group B Streptococcus (GBS) prophages: an application in prophage detection and classification in GBS isolates from Argentina 96%
- Comparison of Shiga toxin-encoding bacteriophages in highly pathogenic strains of Shiga toxin-producing Escherichia coli O157:H7 in the UK. 95%
Similar papers in this journal
- Detection of antimicrobial resistance, pathogenicity, and virulence potentials of non-typhoidal Salmonella isolates at the Yaounde abattoir using whole genome sequencing technique 95%
- Genomic diversity and hotspot mutations in 30,983 SARS-CoV-2 genomes: moving toward a universal vaccine for the "confined virus"? 93%
- Identification of antimicrobial resistance-associated genes through whole genome sequencing of high and low MIC isolates of Mycoplasma bovis 93%
Similar papers in this journal
- Long-read-sequenced reference genomes of the seven major lineages of enterotoxigenic Escherichia coli (ETEC) circulating in modern time 94%
- K-PAM: A unified platform to distinguish Klebsiella species K- and O-antigen types, model antigen structures and identify hypervirulent strains 94%
- Comparative genome analysis of a multidrug-resistant Pseudomonas aeruginosa sequence type 277 clone that harbours two copies of the blaSPM-1 gene and multiple single nucleotide polymorphisms in other resistance-associated genes 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.