TY - JOUR
T1 - Engineering Microbial Metabolite Dynamics and Heterogeneity
AU - Schmitz, Alexander C.
AU - Hartline, Christopher J.
AU - Zhang, Fuzhong
N1 - Funding Information:
A.C.S. and C.J.H. contributed equally. The authors thank Prof. Yinjie Tang and Dr. Di Liu for critical discussion of the manuscript. This work was supported by the National Science Foundation (MCB1453147) and the Human Frontier Science Program (RGY0076/2015. AS is supported by grant T32 HG000045 from the National Human Genome Research Institute.
Publisher Copyright:
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
PY - 2017/10
Y1 - 2017/10
N2 - As yields for biological chemical production in microorganisms approach their theoretical maximum, metabolic engineering requires new tools, and approaches for improvements beyond what traditional strategies can achieve. Engineering metabolite dynamics and metabolite heterogeneity is necessary to achieve further improvements in product titers, productivities, and yields. Metabolite dynamics, the ensemble change in metabolite concentration over time, arise from the need for microbes to adapt their metabolism in response to the extracellular environment and are important for controlling growth and productivity in industrial fermentations. Metabolite heterogeneity, the cell-to-cell variation in a metabolite concentration in an isoclonal population, has a significant impact on ensemble productivity. Recent advances in single cell analysis enable a more complete understanding of the processes driving metabolite heterogeneity and reveal metabolic engineering targets. The authors present an overview of the mechanistic origins of metabolite dynamics and heterogeneity, why they are important, their potential effects in chemical production processes, and tools and strategies for engineering metabolite dynamics and heterogeneity. The authors emphasize that the ability to control metabolite dynamics and heterogeneity will bring new avenues of engineering to increase productivity of microbial strains.
AB - As yields for biological chemical production in microorganisms approach their theoretical maximum, metabolic engineering requires new tools, and approaches for improvements beyond what traditional strategies can achieve. Engineering metabolite dynamics and metabolite heterogeneity is necessary to achieve further improvements in product titers, productivities, and yields. Metabolite dynamics, the ensemble change in metabolite concentration over time, arise from the need for microbes to adapt their metabolism in response to the extracellular environment and are important for controlling growth and productivity in industrial fermentations. Metabolite heterogeneity, the cell-to-cell variation in a metabolite concentration in an isoclonal population, has a significant impact on ensemble productivity. Recent advances in single cell analysis enable a more complete understanding of the processes driving metabolite heterogeneity and reveal metabolic engineering targets. The authors present an overview of the mechanistic origins of metabolite dynamics and heterogeneity, why they are important, their potential effects in chemical production processes, and tools and strategies for engineering metabolite dynamics and heterogeneity. The authors emphasize that the ability to control metabolite dynamics and heterogeneity will bring new avenues of engineering to increase productivity of microbial strains.
KW - cell-to-cell variation
KW - metabolic engineering
KW - metabolite dynamics
KW - metabolite heterogeneity
KW - synthetic biology
UR - http://www.scopus.com/inward/record.url?scp=85030318783&partnerID=8YFLogxK
U2 - 10.1002/biot.201700422
DO - 10.1002/biot.201700422
M3 - Review article
C2 - 28901715
AN - SCOPUS:85030318783
SN - 1860-6768
VL - 12
JO - Biotechnology Journal
JF - Biotechnology Journal
IS - 10
M1 - 1700422
ER -