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Urbanus, M. L.

Publications and source records attributed to Urbanus, M. L..

3 recordsLinked to original sources

A comprehensive two-hybrid analysis to explore the L. pneumophila effector-effector interactome

Legionella pneumophila uses over 300 translocated effector proteins to rewire host cells during infection and create a replicative niche for intracellular growth. To date, several studies have identified L. pneumophila effectors that indirectly and directly regulate the activity of other effectors, providing an additional layer of regulatory complexity. Amongst these are "metaeffectors" - a special class of effectors that regulate the activity of other effectors once inside the host. A defining feature of metaeffectors is direct, physical interaction with a target effector. Metaeffector identification to date has depended on phenotypes in heterologous systems and experimental serendipity. Using a multiplexed, recombinant-barcode-based yeast two-hybrid technology we screened for protein-protein interactions amongst all L. pneumophila effectors and several components of the Dot/Icm type IV secretion system (>167,000 protein combinations). Of the 52 protein interactions identified by this approach, 44 are novel protein interactions, including ten novel effector-effector interactions (doubling the number of known effector-effector interactions).

microbiology↗

A random mutagenesis screen enriched for missense mutations in bacterial effector proteins.

To remodel their hosts and escape immune defenses, many pathogens rely on large arsenals of proteins (effectors) that are delivered to the host cell using dedicated translocation machinery. Effectors hold significant insight into the biology of both the pathogens that encode for them and the host pathways that they manipulate. One of the most powerful systems biology tools for studying effectors is the model organism, Saccharomyces cerevisiae. For many pathogens, the heterologous expression of effectors in yeast is growth inhibitory at a frequency much higher than housekeeping genes, an observation ascribed to targeting conserved eukaryotic proteins. Abrogation of yeast growth inhibition has been used to identify bacterial suppressors of effector activity, host targets, and functional residues and domains within effector proteins. We present here a yeast-based method for enriching for informative, in-frame, missense mutations in a pool of random effector mutants. We benchmark this approach against three effectors from Legionella pneumophila, an intracellular bacterial pathogen that injects a staggering >330 effectors into the host cell. For each protein, we show how in silico protein modeling (AlphaFold2) and missense- directed mutagenesis can be combined to reveal important structural features within effectors. We identify known active site residues within the metalloprotease RavK, highly conserved residues in SdbB, and previously unidentified functional motifs within the C-terminal domain of SdbA. We show that this domain has structural similarity with glycosyltransferases and exhibits in vitro activity consistent with this predicted function.

microbiology↗

Legionella pneumophila CRISPR-Cas suggests recurrent encounters with Gokushovirinae

Legionella pneumophila is a ubiquitous freshwater pathogen and the causative agent of Legionnaires disease. This pathogen and its ability to cause disease is closely tied to its environmental encounters. From phagocytic protists, L. pneumophila has "learned" how to avoid predation and exploit conserved eukaryotic processes to establish an intracellular replicative niche. Legionnaires disease is a product of these evolutionary pressures as L. pneumophila uses the same molecular mechanisms to replicate in grazing protists and in macrophages of the human lung. L. pneumophila growth within protists also provides a refuge from desiccation, disinfection, and other remediation strategies. One outstanding question has been whether this protection extends to phages. L. pneumophila isolates are remarkably devoid of prophages and to date no Legionella phages have been identified. Nevertheless, many L. pneumophila isolates maintain active CRISPR-Cas defenses. So far, the only known target of these systems has been an episomal element that we previously named Legionella Mobile Element-1 (LME-1). In this study, we have identified over 150 CRISPR-Cas systems across 600 isolates, to establish the clearest picture yet of L. pneumophilas adaptive defenses. By leveraging the sequence of 1,500 unique spacers, we can make two main conclusions: current data argue against CRISPR-Cas targeted integrative elements beyond LME-1 and the heretofore "missing" L. pneumophila phages are most likely lytic gokushoviruses. IMPORTANCEThe causative agent of Legionnaires disease, an often-fatal pneumonia, is an intracellular bacterium, Legionella pneumophila, that normally grows inside amoebae and other freshwater protists. Unfortunately for us, this has two major consequences: the bacterium can take what it has learned in amoebae and use similar strategies to grow inside our lungs; and these amoebae can protect Legionella from various forms of chemical and physical disinfection regimes. Legionella are ubiquitous in the environment and frequently found in man-made water systems. Understanding the challenges to Legionella survival before it reaches the human lung is critical to preventing disease. We have leveraged our earlier discovery that L. pneumophila CRISPR-Cas systems are active and adaptive - meaning that they respond to contemporary threats encountered in the environment. In this way, CRISPR arrays can be considered genomic diaries of past encounters, with spacer sequences used to identify elements that may impinge on the pathogens survival. One outstanding question in the field is whether L. pneumophila is susceptible to phage, given the presumptive protection provided by intracellular replication within its eukaryotic hosts. In this work, we use CRISPR spacer sequences to suggest that the heretofore "missing" L. pneumophila phage are most likely lytic gokushoviruses. Such information is critical to the long-term goal of developing of new strategies for preventing colonization of our water systems by Legionella and subsequent human exposure to the pathogen.

microbiology↗