1. Identification of type VI secretion system effector-immunity pairs using structural bioinformatics.
- Author
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Geller AM, Shalom M, Zlotkin D, Blum N, and Levy A
- Subjects
- Escherichia coli genetics, Escherichia coli metabolism, Escherichia coli immunology, Gram-Negative Bacteria immunology, Gram-Negative Bacteria genetics, Genome, Bacterial, Molecular Sequence Annotation, Computational Biology methods, Type VI Secretion Systems genetics, Type VI Secretion Systems metabolism, Bacterial Proteins genetics, Bacterial Proteins metabolism, Bacterial Proteins chemistry
- Abstract
The type VI secretion system (T6SS) is an important mediator of microbe-microbe and microbe-host interactions. Gram-negative bacteria use the T6SS to inject T6SS effectors (T6Es), which are usually proteins with toxic activity, into neighboring cells. Antibacterial effectors have cognate immunity proteins that neutralize self-intoxication. Here, we applied novel structural bioinformatic tools to perform systematic discovery and functional annotation of T6Es and their cognate immunity proteins from a dataset of 17,920 T6SS-encoding bacterial genomes. Using structural clustering, we identified 517 putative T6E families, outperforming sequence-based clustering. We developed a logistic regression model to reliably quantify protein-protein interaction of new T6E-immunity pairs, yielding candidate immunity proteins for 231 out of the 517 T6E families. We used sensitive structure-based annotation which yielded functional annotations for 51% of the T6E families, again outperforming sequence-based annotation. Next, we validated four novel T6E-immunity pairs using basic experiments in E. coli. In particular, we showed that the Pfam domain DUF3289 is a homolog of Colicin M and that DUF943 acts as its cognate immunity protein. Furthermore, we discovered a novel T6E that is a structural homolog of SleB, a lytic transglycosylase, and identified a specific glutamate that acts as its putative catalytic residue. Overall, this study applies novel structural bioinformatic tools to T6E-immunity pair discovery, and provides an extensive database of annotated T6E-immunity pairs., (© 2024. The Author(s).)
- Published
- 2024
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