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Mapping phenotypic landscapes using DNA micro-arrays.

Publication ,  Journal Article
Lynch, MD; Gill, RT; Stephanopoulos, G
Published in: Metabolic engineering
July 2004

Inverse metabolic engineering is a useful approach for engineering phenotypes in biological systems. The overarching objective of this approach is to combine the power of evolutionary engineering approaches with the precision of constructive metabolic engineering strategies. Often the difficulty in this approach is elucidating the genetic basis of the phenotypes that emerge as a result of evolutionary mechanisms. As a result of advances in genomics technologies, several techniques now exist that substantially improve researchers ability to identify such genes. Metabolic engineers now have the ability to map phenotypic landscapes of considerable genetic diversity, which should improve understanding of the relationships that exist among phenotype, genotype, and environment. In this mini-review, we will discuss several of such genomics tools that may be useful in developing inverse metabolic engineering strategies and, in particular, mapping phenotypic landscapes.

Duke Scholars

Published In

Metabolic engineering

DOI

EISSN

1096-7184

ISSN

1096-7176

Publication Date

July 2004

Volume

6

Issue

3

Start / End Page

177 / 185

Related Subject Headings

  • Transcription, Genetic
  • Protein Interaction Mapping
  • Protein Engineering
  • Phenotype
  • Oligonucleotide Array Sequence Analysis
  • Humans
  • Genetic Enhancement
  • Gene Expression Regulation
  • Gene Expression Profiling
  • Cell Physiological Phenomena
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Lynch, M. D., Gill, R. T., & Stephanopoulos, G. (2004). Mapping phenotypic landscapes using DNA micro-arrays. Metabolic Engineering, 6(3), 177–185. https://doi.org/10.1016/j.ymben.2004.01.002
Lynch, Michael D., Ryan T. Gill, and Gregory Stephanopoulos. “Mapping phenotypic landscapes using DNA micro-arrays.Metabolic Engineering 6, no. 3 (July 2004): 177–85. https://doi.org/10.1016/j.ymben.2004.01.002.
Lynch MD, Gill RT, Stephanopoulos G. Mapping phenotypic landscapes using DNA micro-arrays. Metabolic engineering. 2004 Jul;6(3):177–85.
Lynch, Michael D., et al. “Mapping phenotypic landscapes using DNA micro-arrays.Metabolic Engineering, vol. 6, no. 3, July 2004, pp. 177–85. Epmc, doi:10.1016/j.ymben.2004.01.002.
Lynch MD, Gill RT, Stephanopoulos G. Mapping phenotypic landscapes using DNA micro-arrays. Metabolic engineering. 2004 Jul;6(3):177–185.
Journal cover image

Published In

Metabolic engineering

DOI

EISSN

1096-7184

ISSN

1096-7176

Publication Date

July 2004

Volume

6

Issue

3

Start / End Page

177 / 185

Related Subject Headings

  • Transcription, Genetic
  • Protein Interaction Mapping
  • Protein Engineering
  • Phenotype
  • Oligonucleotide Array Sequence Analysis
  • Humans
  • Genetic Enhancement
  • Gene Expression Regulation
  • Gene Expression Profiling
  • Cell Physiological Phenomena