Title:Decoding Multidrug Resistance: Genetic Architecture and Codon Usage Patterns in ESKAPE Pathogens
Volume: 21
Issue: 3
Author(s): Ujwal Dahal, Anu bansal*Dheeraj Chitara
Affiliation:
- Department of Biochemistry, School of Bioengineering and Biosciences, Lovely Professional University,
144411 Phagwara, Punjab, India
Keywords:
ESKAPE, amino acid usage, codon usage, translational selection, compositional constraint, mortality rates.
Abstract:
Introduction: The escalating challenge of multidrug resistance among
ESKAPE pathogens has become a prominent concern for global healthcare providers,
leading to amplified morbidity and mortality rates.
Method: TWe conducted this study to elucidate the genetic architecture of ESKAPE constituents
with the intent of ameliorating pathogenicity and facilitating drug development
efforts. A comprehensive array of computational tools and statistical methodologies were
employed to scrutinize the genomes of ESKAPE pathogens
Result: Translational selection profoundly influences the codon usage bias within this
pathogenic cohort. Notably, leucine emerged as the predominant amino acid, except in the
case of Acinetobacter baumannii, where arginine exhibited preeminence. There was
a universal preference for at least one histidine codon across all ESKAPE pathogens. GpC
emerged as the most prominently overrepresented dinucleotide at the codon pair junction
in all ESKAPE pathogens. Furthermore, a comparison of gyrB gene sequences and phylogenic
tree construction showed a distinct evolutionary relationship between AT-rich and
GC-rich ESKAPE pathogens. Additionally, identification, characterization, and phylogenetic
analysis of multiple antibiotic resistance genes revealed distinct evolutionary relationships..
Conclusion: It was discerned that despite substantial variability amongst antibiotic resistance
genes of pathogens, leucine emerged as the predominant amino acid.
