Meanwhile, metabolic engineers have used adaptive evolution as an engineering tool, including the evolution of highly modified strains, but under conditions that do not reproduce HGT (Fong et al., 2005; Trinh and Srienc, 2009; Lee and Palsson, 2010; Lee et al., 2012).
Therefore, approaches of plant metabolic network analysis, which can provide systems-level understanding of plant physiology, appear valuable as guidance for plant metabolic engineers.
Metabolic engineers have enthusiastically adopted the 13C-labeling technique as a powerful tool for elucidating fluxes in metabolic networks.
Eight replicate populations were evolved to explore how metabolic systems adapt to the introduction of new modules, as can occur naturally due to horizontal gene transfer or by design by metabolic engineers.
To address this issue, we have developed a repository for metabolic engineering strain designs, known as LASER Learning Assisted Strain EngineeRingg, laser.colorado.edu) and a formal standard for disseminating designs to metabolic engineers.
This is acknowledged by metabolic engineers and synthetic biologists alike.
The review covers seven areas of relevance to metabolic engineers.
Metabolic Engineering offers an opportunity to forge a link between metabolic physiologists, working with mammalian systems and metabolic engineers.
Measuring metabolic rates by 13C-metabolic flux analysis (13C-MFA) is of central importance for metabolic engineers and biomedical investigators.
