bioRxiv Science⌕ Search

Biology subjects

Yessimseit, D. T.

Publications and source records attributed to Yessimseit, D. T..

2 recordsLinked to original sources

Genetic and epigenetic diversity of Salmonella enterica isolates from Kazakhstan from clinical and veterinary sources

BackgroundSalmonella enterica is a major cause of foodborne and invasive infections worldwide. Increasing antimicrobial resistance and adaptation to diverse ecological niches require an improved understanding of the genetic and epigenetic diversity of circulating strains. This study investigated the genomic and epigenetic diversity of S. enterica isolates collected in Kazakhstan from clinical, animal, and environmental sources. MethodsWhole-genome sequencing was performed using the Illumina sequencing platform. Several selected strains were additionally sequenced using PacBio SMRT technology for DNA methylation profiling. Genome assembly, plasmid reconstruction, MLST genotyping, and analyses of virulence genes, antimicrobial resistance determinants, and genome methylation associated with restriction-modification (RM) systems and orphan methyltransferases were performed using established bioinformatics tools. ResultsThe ST11 genotype predominated among clinical isolates, but these strains formed distinct clusters differing in plasmid composition, virulence-associated genes, and resistance determinants. Most strains carried two large plasmids associated with environmental persistence and virulence, whereas the recent hospital isolate 19S, belonging to the ST11 group, carried two alternative plasmids enriched in virulence and antibiotic resistance genes. All genomes demonstrated conserved DAM-associated adenine methylation at GATC motifs, partial DCM-mediated cytosine methylation at CCWGG motifs, and widespread adenine methylation at CAGAG motifs linked to type III RM system. In contrast, the type I RM system present in the majority of sequenced strains was suppressed under laboratory growth conditions and remained active only in strain 19S, possibly due to mutations identified in the hsdM gene that may have released this methyltransferase from suppression. Novel epigenetic modification signals involving cytosine and guanine in replichore-biased tandem repeats were also identified. ConclusionsS. enterica strains circulating in Kazakhstan exhibit substantial genomic and epigenetic diversity associated with different survival and transmission strategies. DNA methylation profiling provided additional insights beyond conventional MLST genotyping and identified strain 19S as a promising model for future studies of epigenetic regulation in bacterial virulence and adaptation mediated through genomic DNA methylation.

genomics↗

Application of long-read sequencing for genotyping, epigenetic profiling and surveillance of Yersinia pestis isolates from natural foci and disease outbreaks in Central Asia

This study explores the application of long-read sequencing technologies for genotyping, epigenetic profiling, and epidemiological monitoring of Yersinia pestis isolates obtained from natural foci in Central Asia and previous zoonotic outbreaks. Computational tools for genome assembly and genotyping were developed, enabling high-precision identification of both chromosomal and plasmid sequences, including the small cryptic pCKF plasmid. SNP-based genotyping distinguished the major Y. pestis biovars (Antiqua, Medievalis and non-main) and revealed cluster-specific diversity among Medievalis (MED) isolates, identifying a group of strains particularly prone to transmission from rodents to domestic animals and humans, which can be facilitated by the plasmid pCKF. Specific genomic polymorphisms were identified in sub-clades of MED isolates, which allow their identification with high precision. Additionally, comparative epigenomic analysis uncovered strain-specific cytosine methylation patterns at cgGATCG motifs, which may be linked to genome function regulation and adaptation to different hosts and environments. These findings demonstrate the effectiveness of long-read sequencing technologies in revealing both genetic and epigenetic features of bacterial pathogens, contributing to our understanding of the evolutionary mechanisms underlying the emergence and spread of this especially dangerous infection.

microbiology↗