Structural and biochemical analyses of selectivity determinants in chimeric Streptococcus Class A sortase enzymes

排序酶A 分拣酶 生物化学 肺炎链球菌 生物 肽序列 蛋白质结构 化学 计算生物学 基因 细菌蛋白 抗生素
作者
Melody Gao,D. Alex Johnson,Isabel M. Piper,Hanna M. Kodama,Justin E. Svendsen,Elise Tahti,Frederick A. Longshore-Neate,Brandon A. Vogel,John M. Antos,J.F. Amacher
出处
期刊:Protein Science [Wiley]
卷期号:31 (3): 701-715 被引量:7
标识
DOI:10.1002/pro.4266
摘要

Sequence variation in related proteins is an important characteristic that modulates activity and selectivity. An example of a protein family with a large degree of sequence variation is that of bacterial sortases, which are cysteine transpeptidases on the surface of gram-positive bacteria. Class A sortases are responsible for attachment of diverse proteins to the cell wall to facilitate environmental adaption and interaction. These enzymes are also used in protein engineering applications for sortase-mediated ligations (SML) or sortagging of protein targets. We previously investigated SrtA from Streptococcus pneumoniae, identifying a number of putative β7-β8 loop-mediated interactions that affected in vitro enzyme function. We identified residues that contributed to the ability of S. pneumoniae SrtA to recognize several amino acids at the P1' position of the substrate motif, underlined in LPXTG, in contrast to the strict P1' Gly recognition of SrtA from Staphylococcus aureus. However, motivated by the lack of a structural model for the active, monomeric form of S. pneumoniae SrtA, here, we expanded our studies to other Streptococcus SrtA proteins. We solved the first monomeric structure of S. agalactiae SrtA which includes the C-terminus, and three others of β7-β8 loop chimeras from S. pyogenes and S. agalactiae SrtA. These structures and accompanying biochemical data support our previously identified β7-β8 loop-mediated interactions and provide additional insight into their role in Class A sortase substrate selectivity. A greater understanding of individual SrtA sequence and structural determinants of target selectivity may also facilitate the design or discovery of improved sortagging tools.
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