Surveillance of C-Allocation in Microalgal Cells

When microalgae are exposed to changing environmental conditions, e.g., light-dark cycles or oscillations in nutrient availability (CO2, nitrogen, phosphate or silicate) they respond with metabolic changes in the carbon allocation pattern. Short time regulations in the time range of few seconds to...

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Main Authors: Heiko Wagner, Anne Jungandreas, Andrea Fanesi, Christian Wilhelm
Format: Article
Language:English
Published: MDPI AG 2014-06-01
Series:Metabolites
Subjects:
Online Access:http://www.mdpi.com/2218-1989/4/2/453
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spelling doaj-700d65a39c724d9387283a7c22c15a442020-11-24T21:03:47ZengMDPI AGMetabolites2218-19892014-06-014245346410.3390/metabo4020453metabo4020453Surveillance of C-Allocation in Microalgal CellsHeiko Wagner0Anne Jungandreas1Andrea Fanesi2Christian Wilhelm3Universität Leipzig, Institute of Biology–Plant Physiology, Johannisallee 23, 04103 Leipzig, GermanyUniversität Leipzig, Institute of Biology–Plant Physiology, Johannisallee 23, 04103 Leipzig, GermanyUniversität Leipzig, Institute of Biology–Plant Physiology, Johannisallee 23, 04103 Leipzig, GermanyUniversität Leipzig, Institute of Biology–Plant Physiology, Johannisallee 23, 04103 Leipzig, GermanyWhen microalgae are exposed to changing environmental conditions, e.g., light-dark cycles or oscillations in nutrient availability (CO2, nitrogen, phosphate or silicate) they respond with metabolic changes in the carbon allocation pattern. Short time regulations in the time range of few seconds to minutes can be mirrored best by mass spectroscopy based metabolomics. However, these snap shots do not reflect the alterations in the carbon flow to the cellular macromolecules like protein, carbohydrate or lipid. In this review it is shown how the combination of FTIR spectroscopy and Chla-in-vivo-fluorescence based electron transport rates can reveal changes in the metabolic flux rates of carbon during a shift of the environmental conditions. The review will demonstrate in which time range FTIR spectroscopy can deliver significant information and how FTIR spectroscopy data can synergistically support metabolome analysis by mass-spectroscopy.http://www.mdpi.com/2218-1989/4/2/453FTIR spectroscopyalgaebiomasscompositionmetabolomicschemometricsChlamydomonas
collection DOAJ
language English
format Article
sources DOAJ
author Heiko Wagner
Anne Jungandreas
Andrea Fanesi
Christian Wilhelm
spellingShingle Heiko Wagner
Anne Jungandreas
Andrea Fanesi
Christian Wilhelm
Surveillance of C-Allocation in Microalgal Cells
Metabolites
FTIR spectroscopy
algae
biomass
composition
metabolomics
chemometrics
Chlamydomonas
author_facet Heiko Wagner
Anne Jungandreas
Andrea Fanesi
Christian Wilhelm
author_sort Heiko Wagner
title Surveillance of C-Allocation in Microalgal Cells
title_short Surveillance of C-Allocation in Microalgal Cells
title_full Surveillance of C-Allocation in Microalgal Cells
title_fullStr Surveillance of C-Allocation in Microalgal Cells
title_full_unstemmed Surveillance of C-Allocation in Microalgal Cells
title_sort surveillance of c-allocation in microalgal cells
publisher MDPI AG
series Metabolites
issn 2218-1989
publishDate 2014-06-01
description When microalgae are exposed to changing environmental conditions, e.g., light-dark cycles or oscillations in nutrient availability (CO2, nitrogen, phosphate or silicate) they respond with metabolic changes in the carbon allocation pattern. Short time regulations in the time range of few seconds to minutes can be mirrored best by mass spectroscopy based metabolomics. However, these snap shots do not reflect the alterations in the carbon flow to the cellular macromolecules like protein, carbohydrate or lipid. In this review it is shown how the combination of FTIR spectroscopy and Chla-in-vivo-fluorescence based electron transport rates can reveal changes in the metabolic flux rates of carbon during a shift of the environmental conditions. The review will demonstrate in which time range FTIR spectroscopy can deliver significant information and how FTIR spectroscopy data can synergistically support metabolome analysis by mass-spectroscopy.
topic FTIR spectroscopy
algae
biomass
composition
metabolomics
chemometrics
Chlamydomonas
url http://www.mdpi.com/2218-1989/4/2/453
work_keys_str_mv AT heikowagner surveillanceofcallocationinmicroalgalcells
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