Genomic Characterization of Mobile Genetic Elements Associated with Multidrug-Resistant Acinetobacter Non- baumannii Species from Southern Thailand.
Thunchanok YaikhanArnon ChukamnerdKamonnut SingkhamananNatakorn NokchanNutwadee ChintakovidSarunyou ChusriRattanaruji PomwisedMonwadee WonglapsuwanSiriporn LalakornPublished in: Antibiotics (Basel, Switzerland) (2024)
This study investigated the genetic diversity, antimicrobial resistance profiles, and virulence characteristics of Acinetobacter non- baumannii isolates obtained from four hospitals in southern Thailand. Clinical data, genome information, and average nucleotide identity (ANI) were analyzed for eight isolates, revealing diverse genetic profiles and novel sequence types (STs). Minimum spanning tree analysis indicated potential clonal spread of certain STs across different geographic regions. Antimicrobial resistance genes (ARGs) were detected in all isolates, with a high prevalence of genes conferring resistance to carbapenems, highlighting the challenge of antimicrobial resistance in Acinetobacter spp. infections. Mobile genetic elements (MGEs) carrying ARGs were also identified, emphasizing the role of horizontal gene transfer in spreading resistance. Evaluation of virulence-associated genes revealed a diverse range of virulence factors, including those related to biofilm formation and antibiotic resistance. However, no direct correlation was found between virulence-associated genes in Acinetobacter spp. and specific clinical outcomes, such as infection severity or patient mortality. This complexity suggests that factors beyond gene presence may influence disease progression and outcomes. This study emphasizes the importance of continued surveillance and molecular epidemiological studies to combat the spread of multidrug-resistant (MDR) Acinetobacter non- baumannii strains. The findings provide valuable insights into the epidemiology and genetic characteristics of this bacteria in southern Thailand, with implications for infection control and antimicrobial management efforts.
Keyphrases
- antimicrobial resistance
- genome wide
- acinetobacter baumannii
- multidrug resistant
- genetic diversity
- copy number
- dna methylation
- biofilm formation
- pseudomonas aeruginosa
- genome wide identification
- drug resistant
- staphylococcus aureus
- escherichia coli
- gram negative
- genome wide analysis
- public health
- gene expression
- candida albicans
- bioinformatics analysis
- healthcare
- risk factors
- antibiotic resistance genes
- quality improvement
- metabolic syndrome
- cardiovascular disease
- weight loss
- electronic health record
- cardiovascular events
- coronary artery disease
- machine learning
- transcription factor
- case report
- single cell
- big data
- high speed