Strategies for the multiplex mapping of genes to traits.
Journal Article (Review;Journal Article)
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.
Full Text
Duke Authors
Cited Authors
- Garst, A; Lynch, M; Evans, R; Gill, RT
Published Date
- October 30, 2013
Published In
Volume / Issue
- 12 /
Start / End Page
- 99 -
PubMed ID
- 24171944
Pubmed Central ID
- PMC3842685
Electronic International Standard Serial Number (EISSN)
- 1475-2859
International Standard Serial Number (ISSN)
- 1475-2859
Digital Object Identifier (DOI)
- 10.1186/1475-2859-12-99
Language
- eng