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shotgun 蛋白质组学分析、功能网络和海鲜源生物胺产生菌的肽生物标志物。

Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria.

机构信息

Department of Food Technology, Spanish National Research Council (CSIC), Institute of Marine Research (IIM-CSIC), 36208 Vigo, Spain.

Department of Microbiology and Parasitology, Faculty of Pharmacy, University of Santiago de Compostela, 15898 Santiago de Compostela, Spain.

出版信息

Int J Mol Sci. 2023 Apr 22;24(9):7704. doi: 10.3390/ijms24097704.

Abstract

Biogenic amine-producing bacteria are responsible for the production of basic nitrogenous compounds (histamine, cadaverine, tyramine, and putrescine) following the spoilage of food due to microorganisms. In this study, we adopted a shotgun proteomics strategy to characterize 15 foodborne strains of biogenic-amine-producing bacteria. A total of 10,673 peptide spectrum matches belonging to 4081 peptides and corresponding to 1811 proteins were identified. Relevant functional pathways were determined, and strains were differentiated into hierarchical clusters. An expected protein-protein interaction network was created (260 nodes/1973 interactions). Most of the determined proteins were associated with networks/pathways of energy, putrescine metabolism, and host-virus interaction. Additionally, 556 peptides were identified as virulence factors. Moreover, 77 species-specific peptide biomarkers corresponding to 64 different proteins were proposed to identify 10 bacterial species. This represents a major proteomic dataset of biogenic-amine-producing strains. These results may also be suitable for new treatments for food intoxication and for tracking microbial sources in foodstuffs.

摘要

产生物胺的细菌会在食物因微生物腐败后,产生基本含氮化合物(组氨酸、尸胺、酪胺和腐胺)。在这项研究中,我们采用了一种鸟枪法蛋白质组学策略来描述 15 种食源性病原体产生物胺的细菌。共鉴定出属于 4081 种肽段和对应 1811 种蛋白质的 10673 个肽段谱匹配。确定了相关的功能途径,并将菌株分为层次聚类。创建了一个预期的蛋白质-蛋白质相互作用网络(260 个节点/1973 个相互作用)。大部分确定的蛋白质与能量、腐胺代谢和宿主-病毒相互作用的网络/途径有关。此外,鉴定出 556 个肽段为毒力因子。此外,还提出了 77 种对应 64 种不同蛋白质的种特异性肽生物标志物,以鉴定 10 种细菌。这代表了产生物胺菌株的主要蛋白质组数据集。这些结果也可能适用于食物中毒的新治疗方法和追踪食物中的微生物来源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e0/10178689/e888aa4d9b07/ijms-24-07704-g001.jpg

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