Identifying functions for all gene products in all sequenced organisms is a central challenge of the post-genomic era. However, at least 30-50% of the proteins encoded by any given genome are of unknown or vaguely known function, and a large number are wrongly annotated. Many of these 'unknown' proteins are common to prokaryotes and plants. We set out to predict and experimentally test the functions of such proteins. Our approach to functional prediction integrates comparative genomics based mainly on microbial genomes with functional genomic data from model microorganisms and post-genomic data from plants. This approach bridges the gap between automated homology-based annotations and the classical gene discovery efforts of experimentalists, and is more powerful than purely computational approaches to identifying gene-function associations.
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University of FloridaFifield
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Gerdes, S., El Yacoubi, B., Bailly, M., Blaby, I. K., Blaby-Haas, C. E., Jeanguenin, L., Lara-Núñez, A., Pribat, A., Waller, J. C., Wilke, A., Overbeek, R., Hanson, A. D., & de Crécy-Lagard, V. (2011). Synergistic use of plant-prokaryote comparative genomics for functional annotations. BMC Genomics, 12 Suppl 1(12), S2. https://doi.org/10.1186/1471-2164-12-S1-S2 (Original work published 2011)