Summary of study ST001198

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR000807. The data can be accessed directly via it's Project DOI: 10.21228/M8CD73 This work is supported by NIH grant, U2C- DK119886.


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Study IDST001198
Study TitleTargeted LC-MS/MS Analysis of Soluble Metabolites in the MeOH:H2O Phase (part-IV)
Study SummaryCyanobacteria are a model photoautotroph and a chassis for the sustainable production of fuels and chemicals. Yet, knowledge of photoautotrophic metabolism in the natural environment of day/night cycles is lacking yet has implications for improved yield from plants, algae, and cyanobacteria. Here, a thorough approach to characterizing diverse metabolites—including carbohydrates, lipids, amino acids, pigments, co-factors, nucleic acids and polysaccharides—in the model cyanobacterium Synechocystis sp. PCC 6803 (S. 6803) under sinusoidal diurnal light-dark cycles was developed and applied. A custom photobioreactor and novel multi-platform mass spectrometry workflow enabled metabolite profiling every 30-120 minutes across a 24-hour diurnal sinusoidal LD (“sinLD”) cycle peaking at 1,600 mol photons m 2 s-1. We report widespread oscillations across the sinLD cycle with 90%, 94%, and 40% of the identified polar/semi-polar, non-polar, and polymeric metabolites displaying statistically significant oscillations, respectively. Microbial growth displayed distinct lag, biomass accumulation, and cell division phases of growth. During the lag phase, amino acids (AA) and nucleic acids (NA) accumulated to high levels per cell followed by decreased levels during the biomass accumulation phase, presumably due to protein and DNA synthesis. Insoluble carbohydrates displayed sharp oscillations per cell at the day-to-night transition. Potential bottlenecks in central carbon metabolism are highlighted. Together, this report provides a comprehensive view of photosynthetic metabolite behavior with high temporal resolution, offering insight into the impact of growth synchronization to light cycles via circadian rhythms. Incorporation into computational modeling and metabolic engineering efforts promises to improve industrially-relevant strain design.
Colorado State University
DepartmentChemical and Biological Engineering
Last NamePeebles
First NameChristie
Address700 Meridian Ave, Fort Collins, CO 80523
Submit Date2019-03-02
Raw Data AvailableYes
Raw Data File Type(s).cdf
Analysis Type DetailLC-MS
Release Date2019-07-17
Release Version1
Christie Peebles Christie Peebles application/zip

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Subject ID:SU001265
Subject Type:Bacteria
Subject Species:Synechocystis sp. PCC6803
Taxonomy ID:1148
Genotype Strain:NCBI:txid1148
Cell Biosource Or Supplier:ATCC