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

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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Publication Details

Journal
Molecular Systems Biology
Published
2024-11-19
DOI
https://doi.org/10.1038/s44320-024-00076-z
Citations
6
Primary Topic
Legionella and Acanthamoeba research
Type
article
Field-Weighted Citation Impact
3.70

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article

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

Adam Godzik, Dhruvin Patel, D. Patel, Cameron Semper et al.
6 citations
Molecular Systems Biology
Legionella and Acanthamoeba research
3.70
article

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

Adam Godzik, Dhruvin Patel, D. Patel, Cameron Semper, Mayya Sedova, Alexander W. Ensminger, Malene L. Urbanus, Alexei V. Savchenko, Lukasz Jaroszewski, P.J. Stogios, Keita Ichii, Abraham Takkouche, Julie Innabi, Cathy Le
article en
6 citations

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.

Molecular Systems BiologyVol. 21(1)
University of California, Riverside (US), University of Calgary (CA), University of Toronto (CA)
National Science Foundation, U.S. Department of Health and Human Services, National Institutes of Health, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, National Institute of Allergy and Infectious Diseases, Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases
Openalex Percentile: Top 8%
Legionella and Acanthamoeba research
3.70
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