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Quantitative insights into the cyanobacterial cell economy
Phototrophic microorganisms are promising resources for green biotechnology. Compared to heterotrophic microorganisms, however, the cellular economy of phototrophic growth is still insufficiently understood. We provide a quantitative analysis of light-limited, light-saturated, and light-inhibited gr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391073/ https://www.ncbi.nlm.nih.gov/pubmed/30714903 http://dx.doi.org/10.7554/eLife.42508 |
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author | Zavřel, Tomáš Faizi, Marjan Loureiro, Cristina Poschmann, Gereon Stühler, Kai Sinetova, Maria Zorina, Anna Steuer, Ralf Červený, Jan |
author_facet | Zavřel, Tomáš Faizi, Marjan Loureiro, Cristina Poschmann, Gereon Stühler, Kai Sinetova, Maria Zorina, Anna Steuer, Ralf Červený, Jan |
author_sort | Zavřel, Tomáš |
collection | PubMed |
description | Phototrophic microorganisms are promising resources for green biotechnology. Compared to heterotrophic microorganisms, however, the cellular economy of phototrophic growth is still insufficiently understood. We provide a quantitative analysis of light-limited, light-saturated, and light-inhibited growth of the cyanobacterium Synechocystis sp. PCC 6803 using a reproducible cultivation setup. We report key physiological parameters, including growth rate, cell size, and photosynthetic activity over a wide range of light intensities. Intracellular proteins were quantified to monitor proteome allocation as a function of growth rate. Among other physiological acclimations, we identify an upregulation of the translational machinery and downregulation of light harvesting components with increasing light intensity and growth rate. The resulting growth laws are discussed in the context of a coarse-grained model of phototrophic growth and available data obtained by a comprehensive literature search. Our insights into quantitative aspects of cyanobacterial acclimations to different growth rates have implications to understand and optimize photosynthetic productivity. |
format | Online Article Text |
id | pubmed-6391073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-63910732019-02-27 Quantitative insights into the cyanobacterial cell economy Zavřel, Tomáš Faizi, Marjan Loureiro, Cristina Poschmann, Gereon Stühler, Kai Sinetova, Maria Zorina, Anna Steuer, Ralf Červený, Jan eLife Computational and Systems Biology Phototrophic microorganisms are promising resources for green biotechnology. Compared to heterotrophic microorganisms, however, the cellular economy of phototrophic growth is still insufficiently understood. We provide a quantitative analysis of light-limited, light-saturated, and light-inhibited growth of the cyanobacterium Synechocystis sp. PCC 6803 using a reproducible cultivation setup. We report key physiological parameters, including growth rate, cell size, and photosynthetic activity over a wide range of light intensities. Intracellular proteins were quantified to monitor proteome allocation as a function of growth rate. Among other physiological acclimations, we identify an upregulation of the translational machinery and downregulation of light harvesting components with increasing light intensity and growth rate. The resulting growth laws are discussed in the context of a coarse-grained model of phototrophic growth and available data obtained by a comprehensive literature search. Our insights into quantitative aspects of cyanobacterial acclimations to different growth rates have implications to understand and optimize photosynthetic productivity. eLife Sciences Publications, Ltd 2019-02-04 /pmc/articles/PMC6391073/ /pubmed/30714903 http://dx.doi.org/10.7554/eLife.42508 Text en © 2019, Zavřel et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Zavřel, Tomáš Faizi, Marjan Loureiro, Cristina Poschmann, Gereon Stühler, Kai Sinetova, Maria Zorina, Anna Steuer, Ralf Červený, Jan Quantitative insights into the cyanobacterial cell economy |
title | Quantitative insights into the cyanobacterial cell economy |
title_full | Quantitative insights into the cyanobacterial cell economy |
title_fullStr | Quantitative insights into the cyanobacterial cell economy |
title_full_unstemmed | Quantitative insights into the cyanobacterial cell economy |
title_short | Quantitative insights into the cyanobacterial cell economy |
title_sort | quantitative insights into the cyanobacterial cell economy |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391073/ https://www.ncbi.nlm.nih.gov/pubmed/30714903 http://dx.doi.org/10.7554/eLife.42508 |
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