School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar-Delhi G.T. Road, Phagwara, Punjab, 144411, India.
Department of Bioinformatics, College of Animal Biotechnology, Guru Angad Dev Veterinary and Animal Sciences University, Ferozepur G.T. Road, Ludhiana, Punjab, 141004, India.
Curr Genet. 2024 Jul 31;70(1):10. doi: 10.1007/s00294-024-01297-3.
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.
葡萄球菌属包含了一系列对人类健康具有重要影响的细菌,其中包括声名狼藉的病原体,如金黄色葡萄球菌和表皮葡萄球菌。了解葡萄球菌物种的遗传组成和密码子使用模式对于揭示它们的进化动态、适应策略和致病潜力至关重要。在这项研究中,我们对葡萄球菌属内的 48 个物种的密码子使用模式进行了全面分析。我们的研究结果揭示了葡萄球菌物种之间基因组 G-C 含量的变化,这影响了密码子的使用偏好,致病性菌株中明显偏好 A/T 丰富的密码子。这种对 A/T 丰富密码子的偏好表明在致病生物体内存在一种节能策略。二核苷酸对表达模式的分析揭示了基因组动态的见解,其中过表达的密码子对反映了基因组中二核苷酸表达的趋势。此外,CAI 与基因组 G-C 含量之间存在显著相关性,这突显了密码子使用模式与基因表达策略之间的复杂关系。氨基酸使用分析突出了对能量更便宜的氨基酸的偏好,这表明了促进能量效率的适应策略。这项全面的分析揭示了葡萄球菌物种的进化动态和适应机制,为它们的致病潜力和临床意义提供了有价值的见解。了解这些基因组特征对于制定策略来对抗葡萄球菌感染和改善公共卫生结果至关重要。