效应器
嗜肺军团菌
生物
计算生物学
分泌物
军团菌
细胞生物学
遗传学
细菌
生物化学
作者
D. Patel,P.J. Stogios,Lukasz Jaroszewski,Malene L. Urbanus,Mayya Sedova,Cameron Semper,Cathy Le,Abraham Takkouche,Keita Ichii,Julie Innabi,Dhruvin Patel,Alexander W. Ensminger,Adam Godzik,Alexei Savchenko
标识
DOI:10.1038/s44320-024-00076-z
摘要
Abstract Legionella pneumophila utilizes the Dot/Icm type IVB secretion system to deliver hundreds of effector proteins inside eukaryotic cells to ensure intracellular replication. Our understanding of the molecular functions of the largest pathogenic arsenal known to the bacterial world remains incomplete. By leveraging advancements in 3D protein structure prediction, we provide a comprehensive structural analysis of 368 L. pneumophila effectors, representing a global atlas of predicted functional domains summarized in a database ( https://pathogens3d.org/legionella-pneumophila ). Our analysis identified 157 types of diverse functional domains in 287 effectors, including 159 effectors with no prior functional annotations. Furthermore, we identified 35 cryptic domains in 30 effector models that have no similarity with experimentally structurally characterized proteins, thus, hinting at novel functionalities. Using this analysis, we demonstrate the activity of thirteen functional domains, including three cryptic domains, predicted in L. pneumophila effectors to cause growth defects in the Saccharomyces cerevisiae model system. This illustrates an emerging strategy of exploring synergies between predictions and targeted experimental approaches in elucidating novel effector activities involved in infection.
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