Proteomics

Dataset Information

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Proteome allocation strategies under nutrient-limiting conditions in the cyanobacterium Synechocystis


ABSTRACT: The response of the model cyanobacterium Synechocystis sp. PCC6803 towards light and carbon limitation was systematically probed. To this end, Synechocystis sp. PCC6803 was cultivated in a photo-bioreactor driven in turbidostat-mode. The turbidostat is a continuous cultivation that enabled cells to adapt to a constant environment, leading to a stable and 'optimal' proteome for the respective condition. The major dataset in this project consisted of 5 different 'concentrations' for light and CO2. Changes in the proteome were determined using using liquid chromatography/mass spectrometry and it was found that carbon and light limitation induced gradual but broad responses in gene expression. With decreasing substrate concentration (increasing limitation) a decrease in growth rate and a gradually more severe response in the proteome was visible.

INSTRUMENT(S): maXis

ORGANISM(S): Synechocystis Sp. Pcc 6803 Substr. Gt-s

TISSUE(S): Photosynthetic Cell

DISEASE(S): Disease Free

SUBMITTER: Michael Jahn  

LAB HEAD: Elton Paul Hudson

PROVIDER: PXD009582 | Pride | 2018-09-12

REPOSITORIES: Pride

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Publications

Growth of Cyanobacteria Is Constrained by the Abundance of Light and Carbon Assimilation Proteins.

Jahn Michael M   Vialas Vital V   Karlsen Jan J   Maddalo Gianluca G   Edfors Fredrik F   Forsström Björn B   Uhlén Mathias M   Käll Lukas L   Hudson Elton P EP  

Cell reports 20181001 2


Cyanobacteria must balance separate demands for energy generation, carbon assimilation, and biomass synthesis. We used shotgun proteomics to investigate proteome allocation strategies in the model cyanobacterium Synechocystis sp. PCC 6803 as it adapted to light and inorganic carbon (C<sub>i</sub>) limitation. When partitioning the proteome into seven functional sectors, we find that sector sizes change linearly with growth rate. The sector encompassing ribosomes is significantly smaller than in  ...[more]

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