1. Phylogenetic profiling, an untapped resource for the prediction of secreted proteins and its complementation with sequence-based classifiers in bacterial type III, IV and VI secretion systems.
- Author
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Zalguizuri A, Caetano-Anollés G, and Lepek VC
- Subjects
- Bacterial Proteins classification, Bacterial Secretion Systems classification, Computational Biology, Genome, Bacterial, Machine Learning, Markov Chains, Mesorhizobium genetics, Mesorhizobium metabolism, Models, Genetic, Phylogeny, Type III Secretion Systems genetics, Type III Secretion Systems metabolism, Type IV Secretion Systems genetics, Type IV Secretion Systems metabolism, Type VI Secretion Systems genetics, Type VI Secretion Systems metabolism, Yersinia pestis genetics, Yersinia pestis metabolism, Bacterial Proteins genetics, Bacterial Proteins metabolism, Bacterial Secretion Systems genetics, Bacterial Secretion Systems metabolism
- Abstract
In the establishment and maintenance of the interaction between pathogenic or symbiotic bacteria with a eukaryotic organism, protein substrates of specialized bacterial secretion systems called effectors play a critical role once translocated into the host cell. Proteins are also secreted to the extracellular medium by free-living bacteria or directly injected into other competing organisms to hinder or kill. In this work, we explore an approach based on the evolutionary dependence that most of the effectors maintain with their specific secretion system that analyzes the co-occurrence of any orthologous protein group and their corresponding secretion system across multiple genomes. We compared and complemented our methodology with sequence-based machine learning prediction tools for the type III, IV and VI secretion systems. Finally, we provide the predictive results for the three secretion systems in 1606 complete genomes at http://www.iib.unsam.edu.ar/orgsissec/., (© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
- Published
- 2019
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