Xi Ye, Nabil Bin Rustam, Dhana Gorasia, Eric Reynolds, Debnath Ghosal, Paul Veith
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引用次数: 0
摘要
中普雷沃氏菌是一种革兰氏阴性菌,与牙周炎和急性坏死性溃疡性牙龈炎有关。P. intermedia利用IX型分泌系统(T9SS)分泌毒力因子并将其锚定在细胞表面,可能是通过c端糖基化。连接糖的身份和货物上的修改地点是未知的。在这里,我们使用隐马尔可夫模型来预测P. intermedia中的货物蛋白,并对部分去糖基化的组分进行LC-MS/MS分析来表征c端糖基化。基于T9SS c -末端结构域(CTD)信号的存在,共预测了80个货运蛋白,并将其分为48个短CTD和32个长CTD。实验确定了5个短CTDs和4个长CTDs的裂解位点,并在6个货物的成熟c端观察到糖基化。鉴定出两个δ质量为419.198和433.185 Da的聚糖,分别对应于n -丙烯醛-HexNAc和n -丙烯醛(Me-dHex)-HexNAc的新型c端酰胺键。这表明短CTDs和长CTDs都支持裂解和糖基化。AlphaFold多时间模型预测,这两种CTD可以以相同的方式结合到PorV穿梭蛋白上,保守的CTD基序与PorV中相同的位点相互作用。
C-terminal glycosylation of type IX secretion system cargo proteins in Prevotella intermedia with both short and long secretion signals.
Prevotella intermedia is a Gram-negative bacterium that is associated with periodontitis and acute necrotizing ulcerative gingivitis. P. intermedia utilizes the type IX secretion system (T9SS) to secrete and anchor virulence factors to the cell surface, presumably via C-terminal glycosylation. The identity of the linking sugar and the sites of modification on the cargo are unknown. Here, we employed hidden Markov models to predict cargo proteins in P. intermedia and conducted LC-MS/MS analyses of partially deglycosylated fractions to characterize the C-terminal glycosylation. A total of 80 cargo proteins were predicted based on the presence of a T9SS C-terminal domain (CTD) signal, and these were divided into 48 short CTDs and 32 long CTDs. Cleavage sites for five short and four long CTDs were experimentally determined, and glycosylation was observed at the mature C-terminus of six cargo. Two glycans were identified of delta masses 419.198 and 433.185 Da, corresponding to novel C-terminal amide linkages to N-alanyl dHex-HexNAc and N-alanyl (Me-dHex)-HexNAc, respectively. This indicated that both short and long CTDs supported cleavage and glycosylation. AlphaFold multimer modelling predicted that both kinds of CTDs could bind to the PorV shuttle protein in the same manner, with the conserved CTD motifs interacting with the same sites in PorV.
期刊介绍:
Open Biology is an online journal that welcomes original, high impact research in cell and developmental biology, molecular and structural biology, biochemistry, neuroscience, immunology, microbiology and genetics.