title: Strategies for the multiplex mapping of genes to traits.
abstract: Rewiring and optimization of metabolic networks to enable the production of commercially valuable chemicals is a central goal of metabolic engineering. This prospect is challenged by the complexity of metabolic networks, lack of complete knowledge of gene function(s), and the vast combinatorial genotype space that is available for exploration and optimization. Various approaches have thus been developed to aid in the efficient identification of genes that contribute to a variety of different phenotypes, allowing more rapid design and engineering of traits desired for industrial applications. This review will highlight recent technologies that have enhanced capabilities to map genotype-phenotype relationships on a genome wide scale and emphasize how such approaches enable more efficient design and engineering of complex phenotypes.
authors.forename: Andrew
authors.initials: A
authors.lastname: Garst
authors.forename: Michael
authors.initials: M
authors.lastname: Lynch
authors.forename: Ron
authors.initials: R
authors.lastname: Evans
authors.affiliation: Department of Chemical and Biological Engineering, University of Colorado, Campus Box 592, Boulder, CO 80303, USA. rtg@colorado.edu.
authors.forename: Ryan T
authors.initials: RT
authors.lastname: Gill
mesh_terms: D002874:Chromosome Mapping / Q000379:methods*; D015342:DNA Probes; D005818:Genetic Engineering / Q000379:methods*; D053858:Metabolic Networks and Pathways; D016296:Mutagenesis
chemical_list: D015342:DNA Probes