Molecular Systems BiologyMicrobiologyPeer-reviewed journal article
Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors
Deepak T. PateliD, P. J. StogiosiD, Lukasz Jaroszewski, Malene L. UrbanusiD, Mayya SedovaiD, Cameron SemperiD, Cathy LeiD, Abraham Takkouche, Keita IchiiiD, Julie InnabiiD, Dhruvin PateliD, Alexander W. EnsmingeriD, Adam GodzikiD, Alexei V. SavchenkoiD
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 this 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 unique 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 domains, including three unique folds, 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.
- organism: bacteria (other)
- assay: protein structure
- research focus: protein structure prediction
- approach: deep learning
- Citations
- 10
- FWCI
- 2.74
- Field percentile
- top 10%
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