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Characterization of Foodborne Strains of Staphylococcus aureus by Shotgun Proteomics: Functional Networks, Virulence Factors and Species-Specific Peptide Biomarkers

机译:葡萄球菌金黄色葡萄球菌的食物株菌株表征通过霰弹枪蛋白质组学:功能网络,毒力因子和物种特异性肽生物标志物

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In the present work, we applied a shotgun proteomics approach for the fast and easy characterization of 20 different foodborne strains of Staphylococcus aureus ( S. aureus ), one of the most recognized foodborne pathogenic bacteria. A total of 644 non-redundant proteins were identified and analyzed via an easy and rapid protein sample preparation procedure. The results allowed the differentiation of several proteome datasets from the different strains (common, accessory, and unique datasets), which were used to determine relevant functional pathways and differentiate the strains into different Euclidean hierarchical clusters. Moreover, a predicted protein-protein interaction network of the foodborne S. aureus strains was created. The whole confidence network contains 77 nodes and 769 interactions. Most of the identified proteins were surface-associated proteins that were related to pathways and networks of energy, lipid metabolism and virulence. Twenty-seven virulence factors were identified, and most of them corresponded to autolysins, N-acetylmuramoyl-L-alanine amidases, phenol-soluble modulins, extracellular fibrinogen-binding proteins and virulence factor EsxA. Potential species-specific peptide biomarkers were screened. Twenty-one species-specific peptide biomarkers, belonging to eight different proteins (nickel-ABC transporter, N-acetylmuramoyl-L-alanine amidase, autolysin, clumping factor A, gram-positive signal peptide YSIRK, cysteine protease/staphopain, transcriptional regulator MarR, and transcriptional regulator Sar-A), were proposed to identify S. aureus . These results constitute the first major dataset of peptides and proteins of foodborne S. aureus strains. This repository may be useful for further studies, for the development of new therapeutic treatments for S. aureus food intoxications and for microbial source-tracking in foodstuffs.
机译:在目前的工作中,我们应用了霰弹枪蛋白质组学方法,以便快速,易于表征20种不同的食萘葡萄球菌(金黄色葡萄球菌),其中一种食物中致病细菌之一。通过易于快速快速的蛋白质样品制备程序鉴定并分析了总共644个非冗余蛋白质。结果允许来自不同菌株(普通,附件和独特的数据集)的几种蛋白质组数据集的分化,其用于确定相关的功能途径,并将菌株区分为不同的欧氏层分层簇。此外,产生了食源性S.金黄色葡萄球菌菌株的预测蛋白质 - 蛋白质相互作用网络。整个置信网络包含77个节点和769个相互作用。大多数已鉴定的蛋白质是与能量,脂质代谢和毒力相关的表面相关蛋白质。鉴定了二十七种毒力因子,大多数人对应于自溶素,N-乙酰汞-1-丙氨酸酰胺酶,酚可溶性调节蛋白,细胞外纤维蛋白原结合蛋白和毒力因子ESXA。筛选潜在的特异性肽生物标志物。二十一种特异性肽生物标志物,属于八种不同的蛋白质(镍-ABC转运蛋白,N-乙酰汞-1-丙氨酸酰胺酶,自粘结素,块块因子A,革氏阳性信号肽Ysirk,半胱氨酸蛋白酶/曲面,转录调节器MARR提出了转录调节器SAR-A),以鉴定金黄色葡萄球菌。这些结果构成了肽和金黄色葡萄球菌菌株肽和蛋白质的第一主要数据集。该储存库可能对进一步的研究有用,以便在食品中开发新的AUREUS食物中毒和微生物源跟踪的新治疗方法。

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