Abbasi Bilal Ahmed, Dharan Aishwarya, Mishra Astha, Saraf Devansh, Ahamad Irsad, Suravajhala Prashanth, Valadi Jayaraman
Bioclues.org, Hyderabad, India.
Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, India.
Front Genet. 2022 Aug 11;13:878012. doi: 10.3389/fgene.2022.878012. eCollection 2022.
() is a multi-strain, spore-forming, Gram-positive, opportunistic enteropathogen bacteria, majorly associated with nosocomial infections, resulting in severe diarrhoea and colon inflammation. Several antibiotics including penicillin, tetracycline, and clindamycin have been employed to control infection, but studies have suggested that injudicious use of antibiotics has led to the development of resistance in strains. However, many proteins from its genome are still considered uncharacterized proteins that might serve crucial functions and assist in the biological understanding of the organism. In this study, we aimed to annotate and characterise the 6 strains using approaches. We first analysed the complete genome of 6 strains using standardised approaches and analysed hypothetical proteins (HPs) employing various bioinformatics approaches coalescing, including identifying contigs, coding sequences, phage sequences, CRISPR-Cas9 systems, antimicrobial resistance determination, membrane helices, instability index, secretory nature, conserved domain, and vaccine target properties like comparative homology analysis, allergenicity, antigenicity determination along with structure prediction and binding-site analysis. This study provides crucial supporting information about the functional characterization of the HPs involved in the pathophysiology of the disease. Moreover, this information also aims to assist in mechanisms associated with bacterial pathogenesis and further design candidate inhibitors and pharmaceutical targets.
()是一种多菌株、形成孢子的革兰氏阳性机会性肠道病原菌,主要与医院感染相关,可导致严重腹泻和结肠炎症。包括青霉素、四环素和克林霉素在内的几种抗生素已被用于控制感染,但研究表明,抗生素的不当使用已导致该菌株产生耐药性。然而,其基因组中的许多蛋白质仍被认为是未表征的蛋白质,这些蛋白质可能具有关键功能,并有助于从生物学角度理解该生物体。在本研究中,我们旨在使用多种方法对6种()菌株进行注释和表征。我们首先使用标准化方法分析了6种()菌株的完整基因组,并采用多种生物信息学方法合并分析了假设蛋白(HPs),包括识别重叠群、编码序列、噬菌体序列、CRISPR-Cas9系统、抗菌抗性测定、膜螺旋、不稳定性指数、分泌性质、保守结构域以及疫苗靶点特性,如比较同源性分析、致敏性、抗原性测定以及结构预测和结合位点分析。本研究提供了有关参与该疾病病理生理学的假设蛋白功能表征的关键支持信息。此外,这些信息还旨在辅助了解与细菌致病机制相关的内容,并进一步设计候选抑制剂和药物靶点。