A simple screen to identify promoters conferring high levels of phenotypic noise.

TitleA simple screen to identify promoters conferring high levels of phenotypic noise.
Publication TypeJournal Article
Year of Publication2008
AuthorsFreed, NE, Silander, OK, Stecher, B, Böhm, A, Hardt, W-D, Ackermann, M
JournalPLoS Genet
Date Published2008 Dec
KeywordsBacterial Proteins, Gene Expression Regulation, Bacterial, Genes, Reporter, Genetic Techniques, Green Fluorescent Proteins, Phenotype, Promoter Regions, Genetic, Salmonella typhimurium, Virulence

Genetically identical populations of unicellular organisms often show marked variation in some phenotypic traits. To investigate the molecular causes and possible biological functions of this phenotypic noise, it would be useful to have a method to identify genes whose expression varies stochastically on a certain time scale. Here, we developed such a method and used it for identifying genes with high levels of phenotypic noise in Salmonella enterica ssp. I serovar Typhimurium (S. Typhimurium). We created a genomic plasmid library fused to a green fluorescent protein (GFP) reporter and subjected replicate populations harboring this library to fluctuating selection for GFP expression using fluorescent-activated cell sorting (FACS). After seven rounds of fluctuating selection, the populations were strongly enriched for promoters that showed a high amount of noise in gene expression. Our results indicate that the activity of some promoters of S. Typhimurium varies on such a short time scale that these promoters can absorb rapid fluctuations in the direction of selection, as imposed during our experiment. The genomic fragments that conferred the highest levels of phenotypic variation were promoters controlling the synthesis of flagella, which are associated with virulence and host-pathogen interactions. This confirms earlier reports that phenotypic noise may play a role in pathogenesis and indicates that these promoters have among the highest levels of noise in the S. Typhimurium genome. This approach can be applied to many other bacterial and eukaryotic systems as a simple method for identifying genes with noisy expression.

Alternate JournalPLoS Genet.