Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors

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 inc...

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Main Authors: Deepak T Patel, Peter J Stogios, Lukasz Jaroszewski, Malene L Urbanus, Mayya Sedova, Cameron Semper, Cathy Le, Abraham Takkouche, Keita Ichii, Julie Innabi, Dhruvin H Patel, Alexander W Ensminger, Adam Godzik, Alexei Savchenko
Format: Article
Language:English
Published: Springer Nature 2024-11-01
Series:Molecular Systems Biology
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Online Access:https://doi.org/10.1038/s44320-024-00076-z
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author Deepak T Patel
Peter J Stogios
Lukasz Jaroszewski
Malene L Urbanus
Mayya Sedova
Cameron Semper
Cathy Le
Abraham Takkouche
Keita Ichii
Julie Innabi
Dhruvin H Patel
Alexander W Ensminger
Adam Godzik
Alexei Savchenko
author_facet Deepak T Patel
Peter J Stogios
Lukasz Jaroszewski
Malene L Urbanus
Mayya Sedova
Cameron Semper
Cathy Le
Abraham Takkouche
Keita Ichii
Julie Innabi
Dhruvin H Patel
Alexander W Ensminger
Adam Godzik
Alexei Savchenko
author_sort Deepak T Patel
collection DOAJ
description 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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spelling doaj-art-2445d77116a649b4894b199e4a656e502025-01-05T12:50:43ZengSpringer NatureMolecular Systems Biology1744-42922024-11-01211598910.1038/s44320-024-00076-zGlobal atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectorsDeepak T Patel0Peter J Stogios1Lukasz Jaroszewski2Malene L Urbanus3Mayya Sedova4Cameron Semper5Cathy Le6Abraham Takkouche7Keita Ichii8Julie Innabi9Dhruvin H Patel10Alexander W Ensminger11Adam Godzik12Alexei Savchenko13Department of Microbiology, Immunology and Infectious Diseases, University of CalgaryBioZone, Department of Chemical Engineering and Applied Chemistry, University of TorontoUniversity of California, Riverside, School of Medicine, Biosciences DivisionDepartment of Biochemistry, University of TorontoUniversity of California, Riverside, School of Medicine, Biosciences DivisionDepartment of Microbiology, Immunology and Infectious Diseases, University of CalgaryDepartment of Microbiology, Immunology and Infectious Diseases, University of CalgaryUniversity of California, Riverside, School of Medicine, Biosciences DivisionUniversity of California, Riverside, School of Medicine, Biosciences DivisionUniversity of California, Riverside, School of Medicine, Biosciences DivisionDepartment of Microbiology, Immunology and Infectious Diseases, University of CalgaryDepartment of Biochemistry, University of TorontoUniversity of California, Riverside, School of Medicine, Biosciences DivisionDepartment of Microbiology, Immunology and Infectious Diseases, University of CalgaryAbstract 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.https://doi.org/10.1038/s44320-024-00076-zBacterial EffectorsLegionella pneumophilaProtein ModelingYeast ToxicityCryptic Domains
spellingShingle Deepak T Patel
Peter J Stogios
Lukasz Jaroszewski
Malene L Urbanus
Mayya Sedova
Cameron Semper
Cathy Le
Abraham Takkouche
Keita Ichii
Julie Innabi
Dhruvin H Patel
Alexander W Ensminger
Adam Godzik
Alexei Savchenko
Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors
Molecular Systems Biology
Bacterial Effectors
Legionella pneumophila
Protein Modeling
Yeast Toxicity
Cryptic Domains
title Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors
title_full Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors
title_fullStr Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors
title_full_unstemmed Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors
title_short Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors
title_sort global atlas of predicted functional domains in legionella pneumophila dot icm translocated effectors
topic Bacterial Effectors
Legionella pneumophila
Protein Modeling
Yeast Toxicity
Cryptic Domains
url https://doi.org/10.1038/s44320-024-00076-z
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