Szabo Zalan, Pohlschroder Mechthild
MicroDish BV Utrecht, Netherlands.
Front Microbiol. 2012 Jul 2;3:207. doi: 10.3389/fmicb.2012.00207. eCollection 2012.
Secreted proteins make up a significant percentage of a prokaryotic proteome and play critical roles in important cellular processes such as polymer degradation, nutrient uptake, signal transduction, cell wall biosynthesis, and motility. The majority of archaeal proteins are believed to be secreted either in an unfolded conformation via the universally conserved Sec pathway or in a folded conformation via the Twin arginine transport (Tat) pathway. Extensive in vivo and in silico analyses of N-terminal signal peptides that target proteins to these pathways have led to the development of computational tools that not only predict Sec and Tat substrates with high accuracy but also provide information about signal peptide processing and targeting. Predictions therefore include indications as to whether a substrate is a soluble secreted protein, a membrane or cell wall anchored protein, or a surface structure subunit, and whether it is targeted for post-translational modification such as glycosylation or the addition of a lipid. The use of these in silico tools, in combination with biochemical and genetic analyses of transport pathways and their substrates, has resulted in improved predictions of the subcellular localization of archaeal secreted proteins, allowing for a more accurate annotation of archaeal proteomes, and has led to the identification of potential adaptations to extreme environments, as well as phyla-specific pathways among the archaea. A more comprehensive understanding of the transport pathways used and post-translational modifications of secreted archaeal proteins will also facilitate the identification and heterologous expression of commercially valuable archaeal enzymes.
分泌蛋白在原核生物蛋白质组中占相当大的比例,并在聚合物降解、营养吸收、信号转导、细胞壁生物合成和运动等重要细胞过程中发挥关键作用。大多数古菌蛋白质被认为要么通过普遍保守的Sec途径以未折叠构象分泌,要么通过双精氨酸转运(Tat)途径以折叠构象分泌。对将蛋白质靶向这些途径的N端信号肽进行的广泛体内和计算机分析,促成了计算工具的开发,这些工具不仅能高精度预测Sec和Tat底物,还能提供有关信号肽加工和靶向的信息。因此,预测内容包括底物是否为可溶性分泌蛋白、膜或细胞壁锚定蛋白或表面结构亚基,以及它是否靶向翻译后修饰,如糖基化或脂质添加。这些计算机工具与转运途径及其底物的生化和遗传分析相结合,改进了对古菌分泌蛋白亚细胞定位的预测,使古菌蛋白质组注释更加准确,并促成了对极端环境潜在适应性以及古菌门特异性途径的识别。对古菌分泌蛋白所使用的转运途径和翻译后修饰有更全面的了解,也将有助于识别和异源表达具有商业价值的古菌酶。