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Title: Engineering Green Algae: Reducing Metabolic Waste for High Biomass Productivity.


Abstract not provided.

; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, Livermore, CA
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the BSAP review held August 17-18, 2016 in Livermore, CA.
Country of Publication:
United States

Citation Formats

Ruffing, Anne, Lane, Todd, McEwen, Jordan T, Lane, Pamela, and Strickland, Lucas Marshall. Engineering Green Algae: Reducing Metabolic Waste for High Biomass Productivity.. United States: N. p., 2016. Web.
Ruffing, Anne, Lane, Todd, McEwen, Jordan T, Lane, Pamela, & Strickland, Lucas Marshall. Engineering Green Algae: Reducing Metabolic Waste for High Biomass Productivity.. United States.
Ruffing, Anne, Lane, Todd, McEwen, Jordan T, Lane, Pamela, and Strickland, Lucas Marshall. 2016. "Engineering Green Algae: Reducing Metabolic Waste for High Biomass Productivity.". United States. doi:.
title = {Engineering Green Algae: Reducing Metabolic Waste for High Biomass Productivity.},
author = {Ruffing, Anne and Lane, Todd and McEwen, Jordan T and Lane, Pamela and Strickland, Lucas Marshall},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 8

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  • Abstract not provided.
  • Laboratory, mass culture, and field studies are being undertaken in order to assess the potential of using blue-green algae (cyanobacteria) as nitrogen biofertilizers on irrigated ground. Of seven candidate strains, two were chosen for application to replicated field plots sown to field corn and the basis of laboratory-scale soil tray experiments and ease of semi-continuous 8000 l culture. Chosen were Anabaena BM-165, isolated from a local soil and Tolypothrix tenuis, imported from India. Using the acetylene reduction method, Anabaena is estimated from laboratory soil experiments to be able to fix from 30 to 62 kg N/ha/y, and has been massmore » cultured to a density of 1527 mg dry wt/l. T. tenuis is estimated from laboratory experiments to be able to fix from 27 to 65 kg N/ha/y, and has been mass cultured to a density of 1630 mg dry wt/l.« less
  • The growth of filamentous blue-green algae (FBGA) at high temperatures in outdoor, shallow solar ponds is being investigated. The temperature of the 60-m/sup 2/ ponds can be controlled to an average temperature of 45/sup 0/C. The growth of FBGA at high temperatures offers an opportunity, not presently available from outdoor algal ponds or energy farms, to obtain large amounts of biomass. Growth of algae at high temperatures results in higher yields because of increased growth rate, the higher light intensity that can be used before saturating the photosynthetic process, easier maintenance of selected FBGA strains, and fewer predators to decimatemore » culture. Additional advantages of growing FBGA as a source of biomass include: bypassing the limitations of nutrient sources, because FBGA fix their own nitrogen and require only CO/sub 2/ when inorganic nutrients are recycled; toleration of higher salinity and metal ion concentrations; and easier and less expensive harvesting procedures.« less
  • The Genomics Revolution has resulted in a massive and growing quantity of whole-genome DNA sequences, which encode the metabolic catalysts necessary for life. However, gene annotations can rarely be complete, and measurement of the kinetic constants associated with the encoded enzymes can not possibly keep pace, necessitating the use of careful modeling to explore plausible network behaviors. Key challenges are (1) quantitatively formulating kinetic laws governing each transformation in a fixed model network; (2) characterizing the stable solution (if any) of the associated ordinary differential equations (ODEs); (3) fitting the latter to metabolomics data as it becomes available; and, (4)more » optimizing a model output against the possible space of kinetic parameters, with respect to properties such as robustness of network response, or maximum consumption/production. This SciDAC-2 project addresses this large-scale uncertainty in the genome-scale metabolic network of the water-splitting, H{sub 2}-producing green alga Chlamydomonas reinhardtii. Each metabolic transformation is formulated as an irreversible steady-state process, such that the vast literature on known enzyme mechanisms may be incorporated directly. To start, glycolysis, the tricarboxylic acid cycle, and basic fermentation pathways have been encoded in Systems Biology Markup Language (SBML) with careful annotation and consistency with the KEGG database, yielding a model with 3 compartments, 95 species, 38 reactions, and 109 kinetic constants. To study and optimize such models with a view toward larger models, we have developed a system which takes as input an SBML model, and automatically produces C code that when compiled and executed optimizes the model's kinetic parameters according to test criteria. We describe the system and present numerical results. Further development, including overlaying of a parallel multistart algorithm, will allow optimization of thousands of parameters on high-performance systems ranging from distributed grids to unified petascale architectures.« less
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