Codon usage analysis in selected virulence genes of Staphylococcal species

被引:0
|
作者
Arora, Pinky [1 ]
Kumar, Shubham [2 ]
Mukhopadhyay, Chandra Shekhar [3 ]
Kaur, Sandeep [4 ]
机构
[1] Lovely Profess Univ, Sch Bioengn & Biosci, Jalandhar Delhi GT Rd, Phagwara 144411, Punjab, India
[2] Lovely Profess Univ, Sch Pharmaceut Sci, Jalandhar GT Rd, Phagwara 144411, Punjab, India
[3] Guru Angad Dev Vet & Anim Sci Univ, Coll Anim Biotechnol, Dept Bioinformat, Ludhiana 141004, Punjab, India
[4] Lovely Profess Univ, Dept Med Lab Sci, Phagwara 144411, Punjab, India
关键词
Codon usage bias; Virulence genes; Staphylococcus; Antibiotic resistance; Translational efficiency; AT-rich codons; MUTATION PRESSURE; ADAPTATION INDEX; BIAS; EVOLUTION; GENOME; PATTERNS; EPIDERMIDIS; EXPRESSION; SEQUENCE; PHAGES;
D O I
10.1007/s00294-025-01308-x
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The Staphylococcus genus, composed of Gram-positive bacteria, includes several pathogenic species such as Staphylococcus aureus, S. epidermidis, S. haemolyticus, and S. saprophyticus, each implicated in a range of infections. This study investigates the codon usage patterns in key virulence genes, including Autolysin (alt), Elastin Binding protein (EbpS), Lipase, Thermonuclease, Intercellular Adhesion Protein (IcaR), and V8 Protease, across four Staphylococcus species. Using metrics such as the Effective Number of Codons (ENc), Relative Synonymous Codon Usage (RSCU), Codon Adaptation Index (CAI), alongside neutrality and parity plots, we explored the codon preferences and nucleotide composition biases. Our findings revealed a pronounced AT-rich codon preference, with AT-rich genomes likely aiding in energy-efficient translation and bacterial survival in host environments. These insights provide a deeper understanding of the evolutionary adaptations and translational efficiency mechanisms that contribute to the pathogenicity of Staphylococcus species. This knowledge could pave the way for novel therapeutic interventions targeting codon usage to disrupt virulence gene expression.
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页数:14
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