TY - JOUR
T1 - Metabolic model guided strain design of cyanobacteria
AU - Hendry, John I.
AU - Bandyopadhyay, Anindita
AU - Srinivasan, Shyam
AU - Pakrasi, Himadri B.
AU - Maranas, Costas D.
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/8
Y1 - 2020/8
N2 - Cyanobacteria are oxygenic photoautotrophs that serve as potential platforms for the production of biochemicals from cheap and renewable raw materials – sunlight, water, and carbon dioxide. Systems level analysis of the metabolic network of these organisms could enable the successful engineering of these organisms for the enhanced production of target chemicals. Metabolic modeling techniques including both stoichiometric and kinetic modeling with a genome-wide coverage enable a global assessment of metabolic capabilities. Recent studies guided by such modeling techniques have engineered strains for the enhanced production of valuable chemicals such as ethanol, n-butanol, 1,3-propanediol, glycerol, limonene, and isoprene from CO2.
AB - Cyanobacteria are oxygenic photoautotrophs that serve as potential platforms for the production of biochemicals from cheap and renewable raw materials – sunlight, water, and carbon dioxide. Systems level analysis of the metabolic network of these organisms could enable the successful engineering of these organisms for the enhanced production of target chemicals. Metabolic modeling techniques including both stoichiometric and kinetic modeling with a genome-wide coverage enable a global assessment of metabolic capabilities. Recent studies guided by such modeling techniques have engineered strains for the enhanced production of valuable chemicals such as ethanol, n-butanol, 1,3-propanediol, glycerol, limonene, and isoprene from CO2.
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U2 - 10.1016/j.copbio.2019.08.011
DO - 10.1016/j.copbio.2019.08.011
M3 - Review article
C2 - 31585306
AN - SCOPUS:85072756783
SN - 0958-1669
VL - 64
SP - 17
EP - 23
JO - Current Opinion in Biotechnology
JF - Current Opinion in Biotechnology
ER -