Summary of Study ST001199

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, 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.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST001199
Study TitleNon-targeted LC-MS Analysis of Soluble Metabolites in the Non-Polar MTBE Phase (part-V)
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.
Institute
Colorado State University
DepartmentChemical and Biological Engineering
Last NamePeebles
First NameChristie
Address700 Meridian Ave, Fort Collins, CO 80523
Emailchristie.peebles@colostate.edu
Phone970-491-6779
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
https://dx.doi.org/10.21228/M8CD73
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR000807
Project DOI:doi: 10.21228/M8CD73
Project Title:A comprehensive time-course metabolite profiling of the model cyanobacterium Synechocystis sp. PCC 6803 under diurnal light:dark cycles
Project Summary:Cyanobacteria 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.
Institute:Colorado State University
Department:Chemical and Biological Engineering
Last Name:Peebles
First Name:Christie
Address:700 Meridian Ave, Fort Collins, CO 80523 USA
Email:wernerajz@gmail.com
Phone:2699981811

Subject:

Subject ID:SU001266
Subject Type:Bacteria
Subject Species:Synechocystis sp. PCC 6803
Taxonomy ID:1148
Genotype Strain:NCBI:txid1148
Cell Biosource Or Supplier:ATCC

Factors:

Subject type: Bacteria; Subject species: Synechocystis sp. PCC 6803 (Factor headings shown in green)

mb_sample_id local_sample_id time
SA08343112-Synechocystis_6803-cell-2-3-
SA08343211-Synechocystis_6803-cell-2-2-
SA08343310-Synechocystis_6803-cell-2-1-
SA0834408-Synechocystis_6803-cell-1.5-2-0.5
SA0834417-Synechocystis_6803-cell-1.5-1-0.5
SA0834429-Synechocystis_6803-cell-1.5-3-0.5
SA08344315-Synechocystis_6803-cell-2.5-30.5
SA08344414-Synechocystis_6803-cell-2.5-20.5
SA08344513-Synechocystis_6803-cell-2.5-10.5
SA0834375-Synechocystis_6803-cell-1-2-1
SA0834386-Synechocystis_6803-cell-1-3-1
SA0834394-Synechocystis_6803-cell-1-1-1
SA08344616-Synechocystis_6803-cell-3-11
SA08344718-Synechocystis_6803-cell-3-31
SA08344817-Synechocystis_6803-cell-3-21
SA08346133-Synechocystis_6803-cell-12-310
SA08346231-Synechocystis_6803-cell-12-110
SA08346332-Synechocystis_6803-cell-12-210
SA08346434-Synechocystis_6803-cell-13-111
SA08346536-Synechocystis_6803-cell-13-311
SA08346635-Synechocystis_6803-cell-13-211
SA08346739-Synechocystis_6803-cell-13.5-311.5
SA08346837-Synechocystis_6803-cell-13.5-111.5
SA08346938-Synechocystis_6803-cell-13.5-211.5
SA08347042-Synechocystis_6803-cell-14-312
SA08347140-Synechocystis_6803-cell-14-112
SA08347241-Synechocystis_6803-cell-14-212
SA08347345-Synechocystis_6803-cell-14.5-312.5
SA08347444-Synechocystis_6803-cell-14.5-212.5
SA08347543-Synechocystis_6803-cell-14.5-112.5
SA08347648-Synechocystis_6803-cell-15-313
SA08347747-Synechocystis_6803-cell-15-213
SA08347846-Synechocystis_6803-cell-15-113
SA08347951-Synechocystis_6803-cell-16-314
SA08348049-Synechocystis_6803-cell-16-114
SA08348150-Synechocystis_6803-cell-16-214
SA08348254-Synechocystis_6803-cell-18-316
SA08348353-Synechocystis_6803-cell-18-216
SA08348452-Synechocystis_6803-cell-18-116
SA08348557-Synechocystis_6803-cell-20-318
SA08348656-Synechocystis_6803-cell-20-218
SA08348755-Synechocystis_6803-cell-20-118
SA0834341-Synechocystis_6803-cell-0-1-2
SA0834352-Synechocystis_6803-cell-0-2-2
SA0834363-Synechocystis_6803-cell-0-3-2
SA08344921-Synechocystis_6803-cell-4-32
SA08345020-Synechocystis_6803-cell-4-22
SA08345119-Synechocystis_6803-cell-4-12
SA08348860-Synechocystis_6803-cell-22-320
SA08348959-Synechocystis_6803-cell-22-220
SA08349058-Synechocystis_6803-cell-22-120
SA08349163-Synechocystis_6803-cell-24-322
SA08349261-Synechocystis_6803-cell-24-122
SA08349362-Synechocystis_6803-cell-24-222
SA08349466-Synechocystis_6803-cell-25-323
SA08349565-Synechocystis_6803-cell-25-223
SA08349664-Synechocystis_6803-cell-25-123
SA08349767-Synechocystis_6803-cell-25.5-123.5
SA08349872-Synechocystis_6803-cell-26-324
SA08349971-Synechocystis_6803-cell-26-224
SA08350070-Synechocystis_6803-cell-26-124
SA083501QC1026
SA083502QC926
SA083503QC1126
SA083504QC1226
SA083505QC826
SA083506QC1326
SA083507QC326
SA083508QC226
SA083509QC126
SA083510QC426
SA083511QC526
SA083512QC626
SA083513QC726
SA08345224-Synechocystis_6803-cell-6-34
SA08345323-Synechocystis_6803-cell-6-24
SA08345422-Synechocystis_6803-cell-6-14
SA08345527-Synechocystis_6803-cell-8-36
SA08345626-Synechocystis_6803-cell-8-26
SA08345725-Synechocystis_6803-cell-8-16
SA08345830-Synechocystis_6803-cell-10-38
SA08345929-Synechocystis_6803-cell-10-28
SA08346028-Synechocystis_6803-cell-10-18
Showing results 1 to 83 of 83

Collection:

Collection ID:CO001260
Collection Summary:For each metabolomics time-point, a 10 mL culture were rapidly sampled via sterile on-reactor syringes into a pre-weighed centrifuge tube, quenched in -4°C 1X PBS, spun at 3,000g for 5 min., decanted, frozen in liquid nitrogen, and lyophilized at -50°C. The workflow from sampling to centrifugation took < 2 minutes; lyophilized samples were stored at -80°C for < 1 month prior to extraction. A biphasic extraction from lyophilized cell pellets was performed via a 2:1:1.6 MTBE:MeOH:H2O biphasic extraction, modified from the protocol developed by Salem et al. (Salem et al., 2016) resulting in a top layer of MTBE with non-polar soluble metabolites, a lower layer of MeOH:H2O with polar and semi-polar soluble metabolites, and an insoluble pellet. Each liquid layer was transferred to a fresh glass vial and dried under nitrogen gas overnight. The MTBE layer was resuspended in 1:1 toluene:MeOH and analyzed via Q-TOF-MS with a UPLC Phenyl Hexyl column (“RP-MS”). The MeOH:H2O layer was resuspended in 1:1 H2O:MeOH, split evenly and subjected to either i) derivatization in methoxyamine HCl and MSTFA followed by GC-MS analysis, or ii) targeted SRM analysis on a tandem quadrupole-MS equipped with a HILIC column. The insoluble pellet was hydrolyzed with a hydrochloric acid (HCl) based on previously published protocols (Fountoulakis and Lahm, 1998) (Huang, Kaiser and Benner, 2012) to analyze individual amino acids, nucleoside, and carbohydrate content of the insoluble polymers utilizing MTBSTFA derivatization for insoluble amino acids. Of the soluble phases, 10 µL were removed from each sample and pooled to create a QC sample, mixed, and aliquoted into thirteen vials. A QC sample was run after every sixth injection.
Sample Type:Bacterial cells

Treatment:

Treatment ID:TR001281
Treatment Summary:Synechocystis sp. PCC 6803 [N-1] (ATCC 27184, NCBI Taxonomy ID: 1080229) was utilized for all experiments. A light-emitting diode photobioreactor (LED PBR) was engineered to provide a rectified sinusoidal waveform light profile which (results in the negative half-cycle being set to zero) via two custom 4000K White LED panels (Reliance Laboratories, Port Townsend WA) arranged opposite a water bath facing inwards, 5% CO2 at 200 mL min-1 via in-house gas mixing and custom aerators to provide sufficient mixing, 27-30°C temperature control via a Huber Ministat and custom water bath (Midwest Custom Aquarium, Starbuck MN), and improved light penetration at high volumes via custom flat-panel reactors (FPRs) built in a circular geometry to maximize mixing (Allen Scientific Glass, Boulder CO) (Figure S1). At the peak, 1,600 mol photons m-2s-1 (E) was provided as measured by LightScout Quantum Meter (Model: 3415FXSE). . A single LED-PBR was inoculated and entrained to sinLD cycles for two days; this entrained culture was then use inoculated three biological triplicate FPRs in the LED PBR (Figure S2). Reactors were cultivated under the sinLD cycle profile for an additional day of entrainment prior to sampling (total of 3 days of entrainment).

Sample Preparation:

Sampleprep ID:SP001274
Sampleprep Summary:Briefly, 6 mL of 75% methanol (MeOH) was added to pellets, vortexed, and transferred to glass vials. 9 mL of 100% methyl tert-butyl ether (MTBE) was added, vortexed for 30 seconds, placed on automatic shaker for 1.5 hours at 4 ºC, and sonicated for 15 minutes. 3.75 mL of water was added, each extraction was vortexed by hand for 1 minute, and centrifuged for 10 minutes at 3,270g at 4ºC. A biphasic solution with a pellet formed: the top, green MTBE layer and the bottom, clear MeOH:H2O layer were separated into separate tubes and dried under N2,gas overnight. The pellet was stored at -80 ºC. After drying, the MTBE layer was resuspended in 100 uL 1:1 toluene:MeOH, transferred to a LC-MS vial insert, and stored at -80C for <1 month prior to MS analysis. The MeOH:H2O layer was resuspended in 1 mL of 1:1 H2O:MeOH, transferred to a 1.7 mL centrifuge tube and spun at 15,000g for 2 minutes at 4 ºC. The supernatant was split into two 465 µL aliquots—one for GCMS and one for LC(HILIC)MS—in glass vials and dried under N2,gas. The protocol outlined above is suitable for filter-quenched cyanobacteria samples and centrifuged cell pellets. The polar methanol/water fraction resulting from the biphasic extraction was processed for analysis by hydrophilic interaction liquid chromatography (HILIC) LC-MS. Dried samples were resuspended in 100 µL 1:1 H2O:MeOH and 10 µL were aliquoted into a pooled QC sample. Samples were stored at -80 ºC until analysis. The pooled QC sample was mixed and aliquoted into twelve vials. A QC injection was run every tenth injection. The dried polar fraction for analysis by GC-MS was stored at -80 ºC until derivatization, immediately prior to MS analysis. Samples were derivatized in 30 uL methoxyamine HCl and 30 uL MSTFA, as specified in the following section. Ten microliters were removed from each sample to create a pooled QC sample, mixed, and aliquoted into thirteen vials. A QC sample was run after every sixth injection. The non-polar MTBE phase was processed for non-targeted LC-MS analysis. Twenty microliters from each sample were pooled, mixed, and aliquoted into thirteen pooled QC samples. QC injections were placed after every sixth injection.

Combined analysis:

Analysis ID AN001995
Analysis type MS
Chromatography type Reversed phase
Chromatography system Waters Xevo G2
Column Waters Acquity UPLC CSH Phenyl Hexyl ( 100 x 1.0mm,1.7um)
MS Type ESI
MS instrument type QTOF
MS instrument name Waters Xevo QS
Ion Mode POSITIVE
Units spectral abundance per cell

Chromatography:

Chromatography ID:CH001443
Chromatography Summary:For non-targeted LC-MS experiments, two microliters of extract were injected onto a Waters Acquity UPLC system in discrete, randomized blocks with a pooled QC injection after every 6 sample injections and separated using a Waters Acquity UPLC CSH Phenyl Hexyl column (1.7 µM, 1.0 x 100 mm), using a gradient from solvent A (2mM ammonium hydroxide, 0.1% formic acid) to solvent B (Acetonitrile, 0.1% formic acid). Injections were made in 100% A, held at 100% A for 1 min, ramped to 98% B over 12 minutes, held at 98% B for 3 minutes, and then returned to starting conditions over 0.05 minutes and allowed to re-equilibrate for 3.95 minutes, with a 200 µL/min constant flow rate. The column and samples were held at 65 °C and 6 °C, respectively. The column eluent was infused into a Waters Xevo G2 Q-TOF-MS with an electrospray source in positive mode, scanning 50-2000 m/z at 0.2 seconds per scan, alternating between MS (6 V collision energy) and MSE mode (15-30 V ramp). Calibration was performed using sodium iodide with 1 ppm mass accuracy. The capillary voltage was held at 2200 V, source temp at 150 °C, and nitrogen desolvation temp at 350 °C with a flow rate of 800 L/hr.
Instrument Name:Waters Xevo G2
Column Name:Waters Acquity UPLC CSH Phenyl Hexyl ( 100 x 1.0mm,1.7um)
Column Temperature:65
Flow Gradient:Injections were made in 100% A, held at 100% A for 1 min, ramped to 98% B over 12 minutes, held at 98% B for 3 minutes, and then returned to starting conditions over 0.05 minutes and allowed to re-equilibrate for 3.95 minutes
Flow Rate:200ul/min
Solvent A:100% water; 0.1% formic acid; 2 mM ammonium hydroxide
Solvent B:100% acetonitrile; 0.1% formic acid
Chromatography Type:Reversed phase

MS:

MS ID:MS001848
Analysis ID:AN001995
Instrument Name:Waters Xevo QS
Instrument Type:QTOF
MS Type:ESI
MS Comments:Compounds were created by clustering features using RAMClustR (Broeckling et al. 2014). RAMClustR uses a similarity matric which calculates feature correlation across samples and retention time correlation between features. Hierarchical clustering of the similarity matrix was computed via the fastcluter package (Müllner 2013). The resulting clustered dendrogram is cut using DynamicTreeCut and spectra are created with clusters and features abundances from input data (Langfelder, Zhang, and Horvath 2008). The abundance for each mass in spectra is a weighted mean of feature intensity. The RAMClustR outputs are compounds (clusters of correlated features) and intensities for each sample; spectral abundance intensities reflect weighted mean of all features within the compound.
Ion Mode:POSITIVE
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