Genome-enabled studies of key light-dependent metabolic and regulatory switches governing reductant and carbon partitioning in cyanobacteria
EMSL Project ID
47445
Abstract
The main goal of this proposal is develop and apply an integrated omics approach for systems-level analysis of photosynthetic metabolism in cyanobacteria that will lead to the identification of key growth-constraining factors associated with the ability to maximize photosynthetic efficiency coupled to CO2 fixation. The identification of metabolic bottlenecks in central metabolic reactions and intermediate biosynthesis will improve our ability to manipulate cyanobacteria for efficient biofuels production through the application of cutting-edge metabolic engineering and synthetic biology methods. The proposed work will be in support of the PNNL’s Biofuels Scientific Focus Area (BSFA) whose overarching objective is to develop a predictive understanding of pathways and regulatory schemes involved in solar energy conversion to biofuel precursors or products. Accordingly, the specific aims of the proposal include:• Identification of key metabolic modules involved in photosynthetic energy conservation and reductant partitioning towards key biofuel precursors
• Characterization of major regulatory factors (e.g., transcriptional, post-transcriptional, post-translational) that govern reductant production and partitioning in response to light and carbon availability
• Delineation of the major constraining factors (i.e. metabolic and regulatory controls) governing carbon partitioning through the metabolic subsystems of cyanobacteria that can be manipulated to increase fluxes towards production of specific molecules
This information will ultimately be integrated through a genome-scale metabolic reconstruction into stoichiometric models which are being developed as part of the PNNL BSFA project and will contribute to further understanding of the pathways of phototrophic metabolism. This approach is consistent with the overarching goal of the DOE BER Genome Sciences Program to use a systems biology approach to understand how the static information in genome sequences drives processes of life.
Project Details
Project type
Large-Scale EMSL Research
Start Date
2012-10-01
End Date
2014-09-30
Status
Closed
Released Data Link
Team
Principal Investigator
Related Publications
Beliaev AS, MF Romine, M Serres, HC Bernstein, BE Linggi, LM Markillie, NG Isern, WB Chrisler, LA Kucek, EA Hill, G Pinchuk, DA Bryant, HS Wiley, JK Fredrickson, and A Konopka. 2014. "Inference of Interactions in Cyanobacterial-Heterotrophic Co-Cultures via Transcriptome Sequencing." The ISME Journal. doi:10.1038/ismej.2014.69
Bernstein HC, MA Charania, RS McClure, NC Sadler, MR Melnicki, EA Hill, LM Markillie, CD Nicora, AT Wright, MF Romine, and AS Beliaev. 2015. "Multi-omic Dynamics Associate Oxygenic Photosynthesis with Nitrogenase-mediated H2 production in Cyanothece sp. ATCC 51142." Scientific Reports 5:Article No. 16004. doi:10. 1038/srep16004
Bernstein HC, RS McClure, EA Hill, LM Markillie, WB Chrisler, MF Romine, JE McDermott, MC Posewitz, DA Bryant, A Konopka, JK Fredrickson, and AS Beliaev. 2016. "Unlocking the Constraints of Cyanobacterial Productivity: Acclimations Enabling Ultrafast Growth." mBio 7(4):Article No. e00949-16. doi:10. 1128/mBio. 00949-16
Gallo A, BP Knox, KS Bruno, M Solfrizzo, SE Baker, and G Perrone. 2014. "Identification and characterization of the polyketide synthase involved in ochratoxin A biosynthesis in Aspergillus carbonarius." International Journal of Food Microbiology 179:10-17. doi:10.1016/j.ijfoodmicro.2014.03.013
McClure RS, CC Overall, JE McDermott, EA Hill, LM Markillie, LA McCue, RC Taylor, M Ludwig, DA Bryant, and AS Beliaev. 2016. "Network Analysis of Transcriptomics Expands Regulatory Landscapes in Synechococcus sp. PCC 7002." Nucleic Acids Research. doi:10. 1093/nar/gkw737
Song HS, RS McClure, HC Bernstein, CC Overall, EA Hill, and AS Beliaev. 2015. "Integrated in silico analyses of regulatory and metabolic networks of Synechococcus sp. PCC 7002 reveal relationships between gene centrality and essentiality." Life 5(2):1127-1140. doi:10. 3390/life5021127.