Mutant phenotypes for thousands of bacterial genes of unknown function.

Nature
Morgan N PriceAdam M Deutschbauer

Abstract

One-third of all protein-coding genes from bacterial genomes cannot be annotated with a function. Here, to investigate the functions of these genes, we present genome-wide mutant fitness data from 32 diverse bacteria across dozens of growth conditions. We identified mutant phenotypes for 11,779 protein-coding genes that had not been annotated with a specific function. Many genes could be associated with a specific condition because the gene affected fitness only in that condition, or with another gene in the same bacterium because they had similar mutant phenotypes. Of the poorly annotated genes, 2,316 had associations that have high confidence because they are conserved in other bacteria. By combining these conserved associations with comparative genomics, we identified putative DNA repair proteins; in addition, we propose specific functions for poorly annotated enzymes and transporters and for uncharacterized protein families. Our study demonstrates the scalability of microbial genetics and its utility for improving gene annotations.

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Citations

Feb 11, 2019·Molecular Oral Microbiology·Robert C Shields, Paul A Jensen
Apr 23, 2019·PLoS Computational Biology·Jean-Christophe LachancePierre-Étienne Jacques
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Apr 5, 2019·MSystems·Morgan N Price, Adam P Arkin
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Methods Mentioned

BETA
phosphotransferase
PCR
motility assay
BarSeq

Software Mentioned

bowtie
RB
SQLite
SEED
HMMer
RAST
BLAST Browser
R
R Browser
AHA

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