PMID- 27555854
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20160824
LR  - 20240325
IS  - 1664-462X (Print)
IS  - 1664-462X (Electronic)
IS  - 1664-462X (Linking)
VI  - 7
DP  - 2016
TI  - New Features on the Environmental Regulation of Metabolism Revealed by Modeling 
      the Cellular Proteomic Adaptations Induced by Light, Carbon, and Inorganic 
      Nitrogen in Chlamydomonas reinhardtii.
PG  - 1158
LID - 10.3389/fpls.2016.01158 [doi]
LID - 1158
AB  - Microalgae are currently emerging to be very promising organisms for the 
      production of biofuels and high-added value compounds. Understanding the 
      influence of environmental alterations on their metabolism is a crucial issue. 
      Light, carbon and nitrogen availability have been reported to induce important 
      metabolic adaptations. So far, the influence of these variables has essentially 
      been studied while varying only one or two environmental factors at the same 
      time. The goal of the present work was to model the cellular proteomic 
      adaptations of the green microalga Chlamydomonas reinhardtii upon the 
      simultaneous changes of light intensity, carbon concentrations (CO2 and acetate), 
      and inorganic nitrogen concentrations (nitrate and ammonium) in the culture 
      medium. Statistical design of experiments (DOE) enabled to define 32 culture 
      conditions to be tested experimentally. Relative protein abundance was quantified 
      by two dimensional differential in-gel electrophoresis (2D-DIGE). Additional 
      assays for respiration, photosynthesis, and lipid and pigment concentrations were 
      also carried out. A hierarchical clustering survey enabled to partition 
      biological variables (proteins + assays) into eight co-regulated clusters. In 
      most cases, the biological variables partitioned in the same cluster had already 
      been reported to participate to common biological functions (acetate 
      assimilation, bioenergetic processes, light harvesting, Calvin cycle, and protein 
      metabolism). The environmental regulation within each cluster was further 
      characterized by a series of multivariate methods including principal component 
      analysis and multiple linear regressions. This metadata analysis enabled to 
      highlight the existence of a clear regulatory pattern for every cluster and to 
      mathematically simulate the effects of light, carbon, and nitrogen. The influence 
      of these environmental variables on cellular metabolism is described in details 
      and thoroughly discussed. This work provides an overview of the metabolic 
      adaptations contributing to maintain cellular homeostasis upon extensive 
      environmental changes. Some of the results presented here could be used as 
      starting points for more specific fundamental or applied investigations.
FAU - Gerin, Stephanie
AU  - Gerin S
AD  - Laboratory of Bioenergetics, Department of Life Sciences, Faculty of Sciences, 
      University of Liege Liege, Belgium.
FAU - Leprince, Pierre
AU  - Leprince P
AD  - Laboratory of Nervous System Disorders and Therapy, Faculty of Medicine, 
      GIGA-Neurosciences, University of Liege Liege, Belgium.
FAU - Sluse, Francis E
AU  - Sluse FE
AD  - Laboratory of Bioenergetics, Department of Life Sciences, Faculty of Sciences, 
      University of Liege Liege, Belgium.
FAU - Franck, Fabrice
AU  - Franck F
AD  - Laboratory of Bioenergetics, Department of Life Sciences, Faculty of Sciences, 
      University of Liege Liege, Belgium.
FAU - Mathy, Gregory
AU  - Mathy G
AD  - Upstream Process Sciences, UCB Pharma Braine l'Alleud, Belgium.
LA  - eng
PT  - Journal Article
DEP - 20160809
PL  - Switzerland
TA  - Front Plant Sci
JT  - Frontiers in plant science
JID - 101568200
PMC - PMC4977305
OTO - NOTNLM
OT  - 2D-DIGE
OT  - bioenergetics
OT  - biological system
OT  - design of experiments
OT  - environment
OT  - hierarchical clustering
OT  - metabolic network
OT  - multiple linear regression
EDAT- 2016/08/25 06:00
MHDA- 2016/08/25 06:01
PMCR- 2016/01/01
CRDT- 2016/08/25 06:00
PHST- 2016/03/25 00:00 [received]
PHST- 2016/07/19 00:00 [accepted]
PHST- 2016/08/25 06:00 [entrez]
PHST- 2016/08/25 06:00 [pubmed]
PHST- 2016/08/25 06:01 [medline]
PHST- 2016/01/01 00:00 [pmc-release]
AID - 10.3389/fpls.2016.01158 [doi]
PST - epublish
SO  - Front Plant Sci. 2016 Aug 9;7:1158. doi: 10.3389/fpls.2016.01158. eCollection 
      2016.