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Identifying the Metabolic Differences of a Fast-Growth Phenotype in Synechococcus UTEX 2973
The photosynthetic capabilities of cyanobacteria make them interesting candidates for industrial bioproduction. One obstacle to large-scale implementation of cyanobacteria is their limited growth rates as compared to industrial mainstays. Synechococcus UTEX 2973, a strain closely related to Synechoc...
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Published in: | Scientific reports 2017-01, Vol.7 (1), p.41569-41569, Article 41569 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The photosynthetic capabilities of cyanobacteria make them interesting candidates for industrial bioproduction. One obstacle to large-scale implementation of cyanobacteria is their limited growth rates as compared to industrial mainstays.
Synechococcus
UTEX 2973, a strain closely related to
Synechococcus
PCC 7942, was recently identified as having the fastest measured growth rate among cyanobacteria. To facilitate the development of 2973 as a model organism we developed in this study the genome-scale metabolic model
i
Syu683. Experimental data were used to define CO
2
uptake rates as well as the biomass compositions for each strain. The inclusion of constraints based on experimental measurements of CO
2
uptake resulted in a ratio of the growth rates of
Synechococcus
2973 to
Synechococcus
7942 of 2.03, which nearly recapitulates the
in vivo
growth rate ratio of 2.13. This identified the difference in carbon uptake rate as the main factor contributing to the divergent growth rates. Additionally four SNPs were identified as possible contributors to modified kinetic parameters of metabolic enzymes and candidates for further study. Comparisons against more established cyanobacterial strains identified a number of differences between the strains along with a correlation between the number of cytochrome c oxidase operons and heterotrophic or diazotrophic capabilities. |
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ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/srep41569 |