Computational evaluation of Synechococcus sp. PCC 7002 metabolism for chemical production (pages 619–630)
Trang T. Vu, Eric A. Hill, Leo A. Kucek, Allan E. Konopka, Alexander S. Beliaev and Prof. Jennifer L. Reed
Article first published online: 24 APR 2013 | DOI: 10.1002/biot.201200315
Cyanobacteria are ideal metabolic engineering platforms for carbon-neutral biotechnology. In this study, authors present a thorough computational evaluation of biofuel production in the fast growing cyanobacterium Synechococcus 7002 in terms of yields, energy requirements, and predicted chemical production profiles for knockout mutants under different conditions. Computational strain design methods were able to predict mutants with improved chemical production for most products considered. These predictions will serve as a starting point for future metabolic engineering efforts to construct strains with improved biofuel production.