Genomic Characterization of Arcobacter butzleri Strains Isolated from Various Sources in Lithuania.
Dainius UljanovasGreta GölzSusanne FleischmannEgle KudirkieneNeringa KasetieneAudrone GrinevicieneEgle TamulevicieneJurgita AksomaitieneThomas AlterMindaugas MalakauskasPublished in: Microorganisms (2023)
Arcobacter (A.) butzleri , the most widespread species within the genus Arcobacter , is considered as an emerging pathogen causing gastroenteritis in humans. Here, we performed a comparative genome-wide analysis of 40 A. butzleri strains from Lithuania to determine the genetic relationship, pangenome structure, putative virulence, and potential antimicrobial- and heavy-metal-resistance genes. Core genome single nucleotide polymorphism (cgSNP) analysis revealed low within-group variability (≤4 SNPs) between three milk strains (RCM42, RCM65, RCM80) and one human strain (H19). Regardless of the type of input (i.e., cgSNPs, accessory genome, virulome, resistome), these strains showed a recurrent phylogenetic and hierarchical grouping pattern. A. butzleri demonstrated a relatively large and highly variable accessory genome (comprising of 6284 genes with around 50% of them identified as singletons) that only partially correlated to the isolation source. Downstream analysis of the genomes resulted in the detection of 115 putative antimicrobial- and heavy-metal-resistance genes and 136 potential virulence factors that are associated with the induction of infection in host (e.g., cadF , degP , iamA ), survival and environmental adaptation (e.g., flagellar genes, CheA-CheY chemotaxis system, urease cluster). This study provides additional knowledge for a better A. butzleri -related risk assessment and highlights the need for further genomic epidemiology studies in Lithuania and other countries.
Keyphrases
- genome wide
- escherichia coli
- heavy metals
- copy number
- dna methylation
- risk assessment
- staphylococcus aureus
- human health
- healthcare
- biofilm formation
- endothelial cells
- health risk assessment
- health risk
- antimicrobial resistance
- gene expression
- risk factors
- genome wide identification
- transcription factor
- label free
- candida albicans
- free survival
- sewage sludge