Whole-Genome Sequencing, Annotation and Taxonomic Confirmation of a Multidrug-Resistant Escherichia coli Isolated from the Blood of a Sepsis Patient
Listed in
This article is not in any list yet, why not save it to one of your lists.Abstract
Sepsis caused by multidrug-resistant (MDR) bacteria, particularly Escherichia coli , represents a significant global health threat due to high morbidity, mortality, and limited treatment options. E. coli , a major causative agent of bloodstream infections, has evolved highly virulent and MDR strains, which contribute to the increasing burden of antimicrobial resistance (AMR), complicating clinical management and reducing the efficacy of conventional antibiotic therapies. This study highlights the negative implications of MDR E. coli sepsis through the genomic and phenotypic characterization of E. coli 266631E isolated from a sepsis patient. Antimicrobial susceptibility testing and minimum inhibitory concentration analysis revealed resistance to multiple antibiotics, including amoxicillin, cefotaxime, ciprofloxacin, gentamicin, and tobramycin. Whole genome sequencing identified a broad array of AMR genes encoding resistance to various antibiotic classes, such as macrolides, fluoroquinolones, aminoglycosides, carbapenems, and cephalosporins. Notably, the CTX-M-15 gene, a key extended-spectrum β-lactamase determinant, was found in both the bacterial chromosome and an IncF-type plasmid, emphasizing the potential for horizontal gene transfer and rapid dissemination of resistance. Confirming the taxonomy of the isolate through querying its 16S rRNA sequence and genome in recognised bacterial taxonomic databases presented a challenge. The isolate showed genetic similarity to E. coli, E. fergusonii , and Shigella species despite their phenotypic differences and variations in their pathogenic traits. However, a simple phenotypic laboratory procedure, based on the biochemical and cultural differences among these bacteria in Coliform ChromoSelect Agar, confirmed the isolate as E. coli . This study highlights the importance of applying phenotypic approaches to support genomic identification of clinically significant bacteria, as this will help guide proper diagnosis and treatment of life-threatening infections like sepsis.