Ko Seyoung, Nguyen Huynh Minh Triet, Lee Woojung, Kim Donghyuk
School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
Comput Struct Biotechnol J. 2024 Jul 20;23:3040-3049. doi: 10.1016/j.csbj.2024.07.017. eCollection 2024 Dec.
Pathogenic () strains are distinguished by their diverse virulence factors, which contribute to a wide spectrum of diseases. These pathogens evolve through the horizontal transfer of virulence factors, resulting in the emergence of hybrid pathotypes with complex and heterogeneous characteristics. Recognizing their profound impact on public health, this study introduces the PIP-eco pipeline, a comprehensive analytical tool designed for the precise identification and characterization of pathotypes. This PIP-eco pipeline advances beyond traditional molecular techniques by facilitating detailed analysis of both single and hybrid pathotypes. It integrates targeted marker gene analysis, virulence factor-based phylogenetic analysis, and pathogenicity islands (PAIs) profiling to elucidate the genetic diversity of pathotypes and support their accurate classification. This integrative approach enables PIP-eco to uncover connections among various pathotypes, highlight shared virulence factors, and provide insights into their evolutionary trajectories. By utilizing experimentally validated marker genes, the pipeline ensures robust identification of pathotypes, particularly those of hybrid pathotypes. Additionally, PAI analysis offers comprehensive genetic investigations, revealing strain-specific variations and potential virulence mechanisms. As a result, the PIP-eco pipeline emerges as a useful tool for dissecting the evolutionary dynamics of and characterizing complex pathotypes, addressing the critical need for accurate detection and understanding of hybrid pathotypes.
致病()菌株以其多样的毒力因子为特征,这些毒力因子导致了广泛的疾病。这些病原体通过毒力因子的水平转移而进化,导致出现具有复杂和异质特征的杂交致病型。认识到它们对公共卫生的深远影响,本研究引入了PIP-eco流程,这是一种全面的分析工具,旨在精确鉴定和表征致病型。这种PIP-eco流程超越了传统分子技术,通过促进对单一和杂交致病型的详细分析。它整合了靶向标记基因分析、基于毒力因子的系统发育分析和致病岛(PAIs)分析,以阐明致病型的遗传多样性并支持其准确分类。这种综合方法使PIP-eco能够揭示各种致病型之间的联系,突出共享的毒力因子,并提供对其进化轨迹的见解。通过利用经过实验验证的标记基因,该流程确保了致病型的可靠鉴定,特别是杂交致病型的鉴定。此外,PAI分析提供了全面的基因研究,揭示了菌株特异性变异和潜在的毒力机制。因此,PIP-eco流程成为剖析致病型进化动态和表征复杂致病型的有用工具,满足了对杂交致病型进行准确检测和理解的迫切需求。