Networking with Your Peers

See allHide authors and affiliations

Science  13 Apr 2007:
Vol. 316, Issue 5822, pp. 175
DOI: 10.1126/science.316.5822.175c

Phenotypes embody genotypes, but identifying the steps from coding region to phenotypic variant is not always straightforward because it can often involve complex or multiple protein interactions, or both. These interactions can be decomposed into the direct regulation of genes through protein-protein, protein-DNA, and DNA modifications such as methylation and an indirect regulation that includes genetic interactions between regulator genes. By creating strains of yeast carrying single or double mutations in five transcription factors known to affect filamentous growth and examining their phenotypes and gene expression profiles, Carter et al. employed a systematic strategy for generating a model that could be used to estimate phenotypic variation resulting from the mutation of a gene within a network. As a result of accounting for both direct and indirect genetic effects, the authors were able to predict the expression levels of the double mutants on the basis of the single mutants, and to infer functional cross-influences between previously unidentified interactions. — LMZ

Mol. Syst. Biol. 3, 10.1038/msb4100137 (2007).

Navigate This Article