Enabling inverse metabolic engineering through genomics.
Inverse metabolic engineering (IME) is a powerful framework for engineering cellular phenotypes. Progress in this field has been limited by a lack of comprehensive methods for efficiently identifying the genetic basis of relevant phenotypes. Advances in genomics technologies, including DNA microarrays and gene sequencing, have dramatically improved our ability to relate changes in phenotype with associated changes in genotype. When applied in the context of IME, these tools should enable the integration of "evolutionary" and "direct" approaches to engineering cell physiology, which should improve our understanding of the complex interactions affecting the expression, evolution and engineering of traits in natural and industrial hosts.
Department of Chemical and Biological Engineering, UCB 424/ECCH120, University of Colorado, Boulder, CO 80304, USA. rtg@colorado.edu
Ryan T
RT
Gill
D001419:Bacteria / Q000378:metabolism; D004252:DNA Mutational Analysis; D019143:Evolution, Molecular; D015723:Gene Library; D005818:Genetic Engineering; D023281:Genomics; D007218:Industrial Microbiology; D020411:Oligonucleotide Array Sequence Analysis; D010641:Phenotype; D010957:Plasmids; D014158:Transcription, Genetic