Whole-Genome Sequence of Aeromonas hydrophila CVM861 Isolated from Diarrhetic Neonatal Swine.
Toni L PooleWayne D SchlosserRobin C AndersonKeri N NormanRoss C BeierDavid J NisbetPublished in: Microorganisms (2020)
Aeromonas hydrophila are ubiquitous in the environment and are highly distributed in aquatic habitats. They have long been known as fish pathogens but are opportunistic human pathogens. Aeromonas spp. have persisted through food-processing safeguards and have been isolated from fresh grocery vegetables, dairy, beef, pork, poultry products and packaged ready-to-eat meats, thus providing an avenue to foodborne illness. A beta-hemolytic, putative Escherichia coli strain collected from diarrheic neonatal pigs in Oklahoma was subsequently identified as A. hydrophila, and designated CVM861. Here we report the whole-genome sequence of A. hydrophila CVM861, SRA accession number, SRR12574563; BioSample number, SAMN1590692; Genbank accession number SRX9061579. The sequence data for CVM861 revealed four Aeromonas-specific virulence genes: lipase (lip), hemolysin (hlyA), cytonic enterotoxin (ast) and phospholipid-cholesterolacyltransferase (GCAT). There were no alignments to any virulence genes in VirulenceFinder. CVM861 contained an E. coli resistance plasmid identified as IncQ1_1__M28829. There were five aminoglycoside, three beta-lactam, and one each of macrolide, phenicol, sulfonamide, tetracycline and trimethoprim resistance genes, all with over 95% identity to genes in the ResFinder database. Additionally, there were 36 alignments to mobile genetic elements using MobileElementFinder. This shows that an aquatic pathogen, rarely considered in human disease, contributes to the resistome reservoir and may be capable of transferring resistance and virulence genes to other more prevalent foodborne strains such as E. coli or Salmonella in swine or other food production systems.
Keyphrases
- escherichia coli
- genome wide
- antimicrobial resistance
- endothelial cells
- biofilm formation
- bioinformatics analysis
- genome wide identification
- pseudomonas aeruginosa
- staphylococcus aureus
- risk assessment
- klebsiella pneumoniae
- genome wide analysis
- gram negative
- dna methylation
- emergency department
- induced pluripotent stem cells
- human health
- data analysis
- big data
- heavy metals
- artificial intelligence
- drug induced