title: Extracting viability landscapes from mutagen-response experiments.
abstract: This paper outlines a novel approach for determining the importance of various genes to the viability of an organism. The basic idea is to treat a population of cells at various concentrations of mutagen, and determine which genes lose functionality due to genetic drift at the various mutagen concentrations. The more strongly a given collection of genes contributes to the fitness of an organism, the higher the mutation rate required to induce loss of functionality in those genes via genetic drift. We argue that mutagen-based methods, if reliably implementable, can elucidate correlations amongst genes, and determine which sets of genes correspond to redundant pathways in the cell. The data obtained from mutagen-based methods could also be used to organize the genes in a genome into hierarchies of increasing importance to the fitness of the cell. Thus, such methods could shed light on the evolutionary history of an organism.
authors.affiliation: Department of Chemistry, Ben-Gurion University of the Negev, Be'er-Sheva 84105, Israel. etannenb@gmail.com
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Tannenbaum
mesh_terms: D000818:Animals; D002468:Cell Physiological Phenomena; D017353:Gene Deletion; D005796:Genes / Q000235:genetics*; D040961:Genetic Drift; D016678:Genome / Q000235:genetics; D008957:Models, Genetic; D016296:Mutagenesis / Q000235:genetics; D009153:Mutagens; D009154:Mutation / Q000235:genetics; D012641:Selection, Genetic; D013269:Stochastic Processes
chemical_list: D009153:Mutagens