Dataset Information

Chang2011_MetabolicNetworkReconstruction_ChlamydomonasReinhardtii

ABSTRACT: This model is from the article: Metabolic network reconstruction of Chlamydomonas offers insight into light-driven algal metabolism. Roger L Chang, Lila Ghamsari,, Ani Manichaikul, Erik F Y Hom, Santhanam Balaji, Weiqi Fu, Yun Shen, Tong Hao, Bernhard Ø Palsson, Kourosh Salehi-Ashtiani & Jason A Papin Molecular Systems Biology 7:518; 2011 doi:10.1038/msb.2011.52 Abstract: Metabolic network reconstruction encompasses existing knowledge about an organism's metabolism and genome annotation, providing a platform for omics data analysis and phenotype prediction. The model alga Chlamydomonas reinhardtii is employed to study diverse biological processes from photosynthesis to phototaxis. Recent heightened interest in this species results from an international movement to develop algal biofuels. Integrating biological and optical data, we reconstructed a genome-scale metabolic network for this alga and devised a novel light-modeling approach that enables quantitative growth prediction for a given light source, resolving wavelength and photon flux. We experimentally verified transcripts accounted for in the network and physiologically validated model function through simulation and generation of new experimental growth data, providing high confidence in network contents and predictive applications. The network offers insight into algal metabolism and potential for genetic engineering and efficient light source design, a pioneering resource for studying light-driven metabolism and quantitative systems biology. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

SUBMITTER: Roger Chang

PROVIDER: MODEL1106200000 | BioModels | 2005-01-01

REPOSITORIES: BioModels

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			Action	DRS
	MODEL1106200000?filename=MODEL1106200000-biopax2.owl	Owl
	MODEL1106200000?filename=MODEL1106200000-biopax3.owl	Owl
	MODEL1106200000?filename=MODEL1106200000.m	Other
	MODEL1106200000?filename=MODEL1106200000.pdf	Pdf
	MODEL1106200000?filename=MODEL1106200000.png	Other

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Publications

Metabolic network reconstruction of Chlamydomonas offers insight into light-driven algal metabolism.

Chang Roger L RL Ghamsari Lila L Manichaikul Ani A Hom Erik F Y EF Balaji Santhanam S Fu Weiqi W Shen Yun Y Hao Tong T Palsson Bernhard Ø BØ Salehi-Ashtiani Kourosh K Papin Jason A JA

Molecular systems biology 20110802

Metabolic network reconstruction encompasses existing knowledge about an organism's metabolism and genome annotation, providing a platform for omics data analysis and phenotype prediction. The model alga Chlamydomonas reinhardtii is employed to study diverse biological processes from photosynthesis to phototaxis. Recent heightened interest in this species results from an international movement to develop algal biofuels. Integrating biological and optical data, we reconstructed a genome-scale met ...[more]

PMID: 21811229

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