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

Molecular Systems Biology

Roger L Chang⁵  Lila Ghamsari²  Ani Manichaikul¹  Erik F Y Hom⁴  Santhanam Balaji²  Weiqi Fu³  Yun Shen²  Tong Hao²  Bernhard Ø Palsson⁵  Kourosh Salehi-Ashtiani² 

[1] Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA;Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA;Center for Systems Biology, University of Iceland, Reykjavik, Iceland;Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA;Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA

关键词: Chlamydomonas reinhardtii;    lipid metabolism;    metabolic engineering;    photobioreactor;   

DOI  :  10.1038/msb.2011.52

来源: Wiley

【 摘 要 】

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 fun

【 授权许可】

CC BY-NC-SA   
Copyright © 2011 EMBO and Macmillan Publishers Limited

Creative Commons Attribution License, which permits distribution, and reproduction in any medium, provided the original author and source are credited. This license does not permit commercial exploitation without specific permission.