A Structural Proteome Screen Identifies Protein Mimicry in Host-Microbe Systems
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Abstract
Host-microbe systems are evolutionary niches that produce coevolved biological interactions and are a key component of global health. However, these systems have historically been a difficult field of biological research due to their experimental intractability. Impactful advances in global health will be obtained by leveraging in silico screens to identify genes involved in mediating interspecific interactions. These predictions will progress our understanding of these systems and lay the groundwork for future in vitro and in vivo experiments and bioengineering projects. A driver of host-manipulation and intracellular survival utilized by host-associated microbes is molecular mimicry, a critical mechanism that can occur at any level from DNA to protein structures. We applied protein structure prediction and alignment tools to explore host-associated bacterial structural proteomes for examples of protein structure mimicry. By leveraging the Legionella pneumophila proteome and its many known structural mimics, we developed and validated a screen that can be applied to virtually any host-microbe system to uncover signals of protein mimicry. These mimics represent candidate proteins that mediate host interactions in microbial proteomes. We successfully applied this screen to other microbes with demonstrated effects on global health, Helicobacter pylori and Wolbachia , identifying protein mimic candidates in each proteome. We discuss the roles these candidates may play in important Wolbachia -induced phenotypes and show that Wobachia infection can partially rescue the loss of one of these factors. This work demonstrates how a genome-wide screen for candidates of host-manipulation and intracellular survival offers an opportunity to identify functionally important genes in host-microbe systems.
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Phylogenetic inference of HtpG and Hsp83 evolutionary histories reveal that the structural similarity of these proteins is due to deep structural conservation, and not to recent horizontal gene transfer (HGT)
This problem is a really interesting one! I'm wondering if you considered more formal tests for structural convergence of the mimic and the host protein, to test if the mimic has a higher TM score than you would expect given the phylogenetic distance? In the absence of a formal test, it could be interesting to even just plot the TM score of drosophila Hsp83 vs. the other proteins on the outside the tree to see if there is a big jump in TM score when you get around to HtpG
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