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Optimising environmental factors for maximal lactate productivity in Synechocystis sp. PCC 6803 through a design of experiments approach
Optimising environmental factors for maximal lactate productivity in Synechocystis sp. PCC 6803 through a design of experiments approach
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Optimising environmental factors for maximal lactate productivity in Synechocystis sp. PCC 6803 through a design of experiments approach
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Optimising environmental factors for maximal lactate productivity in Synechocystis sp. PCC 6803 through a design of experiments approach
Optimising environmental factors for maximal lactate productivity in Synechocystis sp. PCC 6803 through a design of experiments approach

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Optimising environmental factors for maximal lactate productivity in Synechocystis sp. PCC 6803 through a design of experiments approach
Optimising environmental factors for maximal lactate productivity in Synechocystis sp. PCC 6803 through a design of experiments approach
Journal Article

Optimising environmental factors for maximal lactate productivity in Synechocystis sp. PCC 6803 through a design of experiments approach

2025
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Overview
Genetic and metabolic engineering of Synechocystis sp. PCC 6803 has given rise to strains that produce a variety of bio-chemicals. Despite these successes, improvements in productivity metrics are required to achieve economically viable bio-production of carbon dioxide-derived compounds. Previously, environmental factors have been leveraged to increase product yields. Here, we optimise multiple environmental factors simultaneously using Design of Experiments (DOE) principles and find conditions that maximise L-lactate production. Light intensity, glycerol concentration, and light-dark cycle were found to be significant factors. Optimising these conditions resulted in a 6.3- and 7.4-fold increase in titre and yield. The results detailed here could have implications for metabolic engineering of, and bioprocesses using, Synechocystis sp. PCC 6803. In the future, DOE-mediated optimisation of environmental conditions could effectively maximise product titres from different production strains, or the enhanced conditions described here could be directly implemented in other metabolic engineering projects.
Publisher
BioMed Central Ltd
Subject