Structural and biochemical analyses of selectivity determinants in chimeric Streptococcus Class A sortase enzymes
Structural and biochemical analyses of selectivity determinants in chimeric Streptococcus Class A sortase enzymes
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DOI:
10.1002/pro.4266
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发表时间:
2022-01-03
期刊:
影响因子:
8
通讯作者:
Amacher, Jeanine F.
中科院分区:
文献类型:
--
作者:
Gao, Melody;Johnson, D. Alex;Amacher, Jeanine F.
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 beta 7-beta 8 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 beta 7-beta 8 loop chimeras from S. pyogenes and S. agalactiae SrtA. These structures and accompanying biochemical data support our previously identified beta 7-beta 8 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.