4.7 Article

Light-optimized growth of cyanobacterial cultures: Growth phases and productivity of biomass and secreted molecules in light-limited batch growth

Journal

METABOLIC ENGINEERING
Volume 47, Issue -, Pages 230-242

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymben.2018.03.017

Keywords

Photobioreactor; Cyanobacteria; Light-limitation; Photosynthetic efficiency; Scale-up

Funding

  1. National Science Foundation [EFRI-1240268]
  2. US Department of Energy [DE- SC0008103]
  3. NIH NHGRI Genomic Sciences Training Program [T32 HG002760]
  4. Biotechnology Training Program Fellowship [NIGMS - 5 T32 GM08349]
  5. Emerging Frontiers & Multidisciplinary Activities
  6. Directorate For Engineering [1240268] Funding Source: National Science Foundation
  7. U.S. Department of Energy (DOE) [DE-SC0008103] Funding Source: U.S. Department of Energy (DOE)

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Cyanobacteria are photosynthetic microorganisms whose metabolism can be modified through genetic engineering for production of a wide variety of molecules directly from CO2, light, and nutrients. Diverse molecules have been produced in small quantities by engineered cyanobacteria to demonstrate the feasibility of photosynthetic biorefineries. Consequently, there is interest in engineering these microorganisms to increase titer and productivity to meet industrial metrics. Unfortunately, differing experimental conditions and cultivation techniques confound comparisons of strains and metabolic engineering strategies. In this work, we discuss the factors governing photoautotrophic growth and demonstrate nutritionally replete conditions in which a model cyanobacterium can be grown to stationary phase with light as the sole limiting substrate. We introduce a mathematical framework for understanding the dynamics of growth and product secretion in light-limited cyanobacterial cultures. Using this framework, we demonstrate how cyanobacterial growth in differing experimental systems can be easily scaled by the volumetric photon delivery rate using the model organisms Synechococcus sp. strain PCC7002 and Synechococcus elongates strain UTEX2973. We use this framework to predict scaled up growth and product secretion in 1L photobioreactors of two strains of Synechococcus PCC7002 engineered for production of c-lactate or c-lysine. The analytical framework developed in this work serves as a guide for future metabolic engineering studies of cyanobacteria to allow better comparison of experiments performed in different experimental systems and to further investigate the dynamics of growth and product secretion.

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