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通过计算机模拟预测类鼻疽病原体伯克霍尔德菌与人类之间的宿主-病原体蛋白相互作用,揭示了新的毒力因子及其靶点。

In silico prediction of host-pathogen protein interactions in melioidosis pathogen Burkholderia pseudomallei and human reveals novel virulence factors and their targets.

作者信息

Loaiza Cristian D, Duhan Naveen, Lister Matthew, Kaundal Rakesh

机构信息

Center for Integrated BioSystems/Department of Plants, Soils, and Climate, College of Agriculture and Applied Sciences, Utah State University, USA.

Bioinformatics Facility, Center for Integrated BioSystems, Utah State University, USA.

出版信息

Brief Bioinform. 2021 May 20;22(3). doi: 10.1093/bib/bbz162.

Abstract

The aerobic, Gram-negative motile bacillus, Burkholderia pseudomallei is a facultative intracellular bacterium causing melioidosis, a critical disease of public health importance, which is widely endemic in the tropics and subtropical regions of the world. Melioidosis is associated with high case fatality rates in animals and humans; even with treatment, its mortality is 20-50%. It also infects plants and is designated as a biothreat agent. B. pseudomallei is pathogenic due to its ability to invade, resist factors in serum and survive intracellularly. Despite its importance, to date only a few effector proteins have been functionally characterized, and there is not much information regarding the host-pathogen protein-protein interactions (PPI) of this system, which are important to studying infection mechanisms and thereby develop prevention measures. We explored two computational approaches, the homology-based interolog and the domain-based method, to predict genome-scale host-pathogen interactions (HPIs) between two different strains of B. pseudomallei (prototypical, and highly virulent) and human. In total, 76 335 common HPIs (between the two strains) were predicted involving 8264 human and 1753 B. pseudomallei proteins. Among the unique PPIs, 14 131 non-redundant HPIs were found to be unique between the prototypical strain and human, compared to 3043 non-redundant HPIs between the highly virulent strain and human. The protein hubs analysis showed that most B. pseudomallei proteins formed a hub with human dnaK complex proteins associated with tuberculosis, a disease similar in symptoms to melioidosis. In addition, drug-binding and carbohydrate-binding mechanisms were found overrepresented within the host-pathogen network, and metabolic pathways were frequently activated according to the pathway enrichment. Subcellular localization analysis showed that most of the pathogen proteins are targeting human proteins inside cytoplasm and nucleus. We also discovered the host targets of the drug-related pathogen proteins and proteins that form T3SS and T6SS in B. pseudomallei. Additionally, a comparison between the unique PPI patterns present in the prototypical and highly virulent strains was performed. The current study is the first report on developing a genome-scale host-pathogen protein interaction networks between the human and B. pseudomallei, a critical biothreat agent. We have identified novel virulence factors and their interacting partners in the human proteome. These PPIs can be further validated by high-throughput experiments and may give new insights on how B. pseudomallei interacts with its host, which will help medical researchers in developing better prevention measures.

摘要

嗜麦芽窄食单胞菌是一种需氧、革兰氏阴性、运动性杆菌,是一种兼性胞内细菌,可引起类鼻疽病,这是一种具有重要公共卫生意义的关键疾病,在世界热带和亚热带地区广泛流行。类鼻疽病在动物和人类中具有较高的病死率;即使经过治疗,其死亡率仍为20%-50%。它还会感染植物,并被指定为生物威胁因子。嗜麦芽窄食单胞菌具有致病性,因为它能够侵入、抵抗血清中的因子并在细胞内生存。尽管其具有重要性,但迄今为止,只有少数效应蛋白得到了功能表征;关于该系统的宿主-病原体蛋白质-蛋白质相互作用(PPI)的信息不多,而这些相互作用对于研究感染机制从而制定预防措施非常重要。我们探索了两种计算方法,即基于同源性的互作和基于结构域的方法,以预测两种不同菌株(原型菌株和高毒力菌株)的嗜麦芽窄食单胞菌与人类之间的全基因组规模的宿主-病原体相互作用(HPI)。总共预测了76335个常见的HPI(两种菌株之间),涉及8

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