Comparative genome wise analysis of codon usage of Staphylococcus Genus.


Journal

Current genetics
ISSN: 1432-0983
Titre abrégé: Curr Genet
Pays: United States
ID NLM: 8004904

Informations de publication

Date de publication:
31 Jul 2024
Historique:
received: 29 03 2024
accepted: 22 07 2024
revised: 05 07 2024
medline: 31 7 2024
pubmed: 31 7 2024
entrez: 31 7 2024
Statut: epublish

Résumé

The genus Staphylococcus encompasses a diverse array of bacteria with significant implications for human health, including disreputable pathogens such as Staphylococcus aureus and Staphylococcus epidermidis. Understanding the genetic composition and codon usage patterns of Staphylococcus species is crucial for unraveling their evolutionary dynamics, adaptive strategies, and pathogenic potential. In this study, we conducted a comprehensive analysis of codon usage patterns across 48 species within the Staphylococcus genus. Our findings uncovered variations in genomic G-C content across Staphylococcus species, impacting codon usage preferences, with a notable preference for A/T-rich codons observed in pathogenic strains. This preference for A/T-rich codons suggests an energy-saving strategy in pathogenic organisms. Analysis of dinucleotide pair expression patterns unveiled insights into genomic dynamics, with overrepresented codon pairs reflecting trends in dinucleotide expression across genomes. Additionally, a significant correlation between CAI and genomic G-C content underscored the intricate relationship between codon usage patterns and gene expression strategies. Amino acid usage analysis highlighted preferences for energetically cheaper amino acids, suggesting adaptive strategies promoting energy efficiency. This comprehensive analysis sheds light on the evolutionary dynamics and adaptive mechanisms employed by Staphylococcus species, providing valuable insights into their pathogenic potential and clinical implications. Understanding these genomic features is crucial for devising strategies to combat staphylococcal infections and improve public health outcomes.

Identifiants

pubmed: 39083100
doi: 10.1007/s00294-024-01297-3
pii: 10.1007/s00294-024-01297-3
doi:

Substances chimiques

Codon 0
Amino Acids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

10

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Pinky Arora (P)

School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar-Delhi G.T. Road, Phagwara, Punjab, 144411, India.

Chandra Shekhar Mukhopadhyay (CS)

Department of Bioinformatics, College of Animal Biotechnology, Guru Angad Dev Veterinary and Animal Sciences University, Ferozepur G.T. Road, Ludhiana, Punjab, 141004, India.

Sandeep Kaur (S)

Department of Medical Laboratory Sciences, Lovely Professional University, Phagwara, Punjab, 144411, India. sandeep.28639@lpu.co.in.

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