PMID- 25123231
OWN - NLM
STAT- MEDLINE
DCOM- 20150227
LR  - 20211021
IS  - 1752-0509 (Electronic)
IS  - 1752-0509 (Linking)
VI  - 8
DP  - 2014 Aug 16
TI  - Modeling the dependence of respiration and photosynthesis upon light, acetate, 
      carbon dioxide, nitrate and ammonium in Chlamydomonas reinhardtii using design of 
      experiments and multiple regression.
PG  - 96
LID - 10.1186/s12918-014-0096-0 [doi]
AB  - BACKGROUND: In photosynthetic organisms, the influence of light, carbon and 
      inorganic nitrogen sources on the cellular bioenergetics has extensively been 
      studied independently, but little information is available on the cumulative 
      effects of these factors. Here, sequential statistical analyses based on design 
      of experiments (DOE) coupled to standard least squares multiple regression have 
      been undertaken to model the dependence of respiratory and photosynthetic 
      responses (assessed by oxymetric and chlorophyll fluorescence measurements) upon 
      the concomitant modulation of light intensity as well as acetate, CO(2), nitrate 
      and ammonium concentrations in the culture medium of Chlamydomonas reinhardtii. 
      The main goals of these analyses were to explain response variability (i.e. 
      bioenergetic plasticity) and to characterize quantitatively the influence of the 
      major explanatory factor(s). RESULTS: For each response, 2 successive rounds of 
      multiple regression coupled to one-way ANOVA F-tests have been undertaken to 
      select the major explanatory factor(s) (1st-round) and mathematically simulate 
      their influence (2nd-round). These analyses reveal that a maximal number of 3 
      environmental factors over 5 is sufficient to explain most of the response 
      variability, and interestingly highlight quadratic effects and second-order 
      interactions in some cases. In parallel, the predictive ability of the 2nd-round 
      models has also been investigated by k-fold cross-validation and experimental 
      validation tests on new random combinations of factors. These validation 
      procedures tend to indicate that the 2nd-round models can also be used to predict 
      the responses with an inherent deviation quantified by the analytical error of 
      the models. CONCLUSIONS: Altogether, the results of the 2 rounds of modeling 
      provide an overview of the bioenergetic adaptations of C. reinhardtii to changing 
      environmental conditions and point out promising tracks for future in-depth 
      investigations of the molecular mechanisms underlying the present observations.
FAU - Gerin, Stephanie
AU  - Gerin S
FAU - Mathy, Gregory
AU  - Mathy G
FAU - Franck, Fabrice
AU  - Franck F
AD  - Laboratory of Bioenergetics, Department of Life Sciences, Faculty of Sciences, 
      University of Liege, Boulevard du Rectorat 27, Liege, 4000, Belgium. 
      f.franck@ulg.ac.be.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20140816
PL  - England
TA  - BMC Syst Biol
JT  - BMC systems biology
JID - 101301827
RN  - 0 (Acetates)
RN  - 0 (Ammonium Compounds)
RN  - 0 (Culture Media)
RN  - 0 (Nitrates)
RN  - 142M471B3J (Carbon Dioxide)
SB  - IM
MH  - Acetates/*pharmacology
MH  - Ammonium Compounds/*pharmacology
MH  - Carbon Dioxide/*pharmacology
MH  - Cell Respiration/drug effects/radiation effects
MH  - Chlamydomonas reinhardtii/drug effects/*metabolism/radiation effects
MH  - Culture Media
MH  - *Light
MH  - *Models, Biological
MH  - Nitrates/*pharmacology
MH  - Photosynthesis/drug effects/radiation effects
MH  - Regression Analysis
PMC - PMC4236732
EDAT- 2014/08/16 06:00
MHDA- 2015/02/28 06:00
PMCR- 2014/08/16
CRDT- 2014/08/16 06:00
PHST- 2014/04/23 00:00 [received]
PHST- 2014/08/04 00:00 [accepted]
PHST- 2014/08/16 06:00 [entrez]
PHST- 2014/08/16 06:00 [pubmed]
PHST- 2015/02/28 06:00 [medline]
PHST- 2014/08/16 00:00 [pmc-release]
AID - s12918-014-0096-0 [pii]
AID - 10.1186/s12918-014-0096-0 [doi]
PST - epublish
SO  - BMC Syst Biol. 2014 Aug 16;8:96. doi: 10.1186/s12918-014-0096-0.