A comprehensive time-course metabolite profiling of the model cyanobacterium Synechocystis sp. PCC 6803 under diurnal light:dark cycles.
diurnal light:dark cycles
multi-platform time-series metabolomics
photobioreactor
photosynthetic metabolism
Journal
The Plant journal : for cell and molecular biology
ISSN: 1365-313X
Titre abrégé: Plant J
Pays: England
ID NLM: 9207397
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
received:
20
12
2018
revised:
06
03
2019
accepted:
12
03
2019
pubmed:
20
3
2019
medline:
8
5
2020
entrez:
20
3
2019
Statut:
ppublish
Résumé
Cyanobacteria are a model photoautotroph and a chassis for the sustainable production of fuels and chemicals. 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, cofactors, 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 multi-platform mass spectrometry workflow enabled metabolite profiling every 30-120 min across a 24-h diurnal sinusoidal LD ('sinLD') cycle peaking at 1600 μmol photons m
Substances chimiques
Amino Acids
0
Nucleic Acids
0
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
379-388Informations de copyright
© 2019 The Authors The Plant Journal © 2019 John Wiley & Sons Ltd.