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Download the Algal Biofuels Roadmap draft document - Sandia

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Turner, J., G. Sverdrup, M.K. Mann, P.C. Maness, B. Kroposki, M. Ghirardi, R.J. Evans,<br />

and D.Blake, ―Renewable hydrogen production‖, Intl. J. Energy Res. 32:379-407,<br />

2008.<br />

van der Oost et al. Archives of Microbiology 152:415-419 (1989).<br />

Genomics and Systems Biology<br />

Currently, <strong>the</strong>re is a lack of understanding of <strong>the</strong> fundamental processes involved in <strong>the</strong><br />

syn<strong>the</strong>sis and regulation of lipid and o<strong>the</strong>r potential fuel products in microalgae.<br />

Proposing to develop large scale algal culturing technology for biofuels production<br />

without this understanding is analogous to establishing agriculture without knowing how<br />

plants grow. In <strong>the</strong> case of algal biofuels, gaining this information should require a much<br />

shorter time frame than that for agricultural development because high-throughput<br />

analysis tools including genomics, transcriptomics, proteomics, metabolomics, and<br />

lipidomics can be applied, enabling detailed analyses of multiple aspects of cellular<br />

metabolism simultaneously.<br />

Development of <strong>Algal</strong> Model Systems<br />

Criteria for Choosing <strong>Algal</strong> Model Systems<br />

There are two general types of model system to consider: one would involve species or<br />

strains amenable to providing information on <strong>the</strong> basic cellular processes and regulation<br />

involved in syn<strong>the</strong>sis of fuel precursors, and <strong>the</strong> o<strong>the</strong>r would involve species or strains<br />

with characteristics useful for large-scale growth. Species with sequenced genomes and<br />

transgenic capabilities are <strong>the</strong> most amenable to investigating cellular processes, since <strong>the</strong><br />

basic tools are in place, however it was shown in <strong>the</strong> Aquatic Species Program (ASP) that<br />

not all strains that grow well in <strong>the</strong> laboratory are suitable for large-scale culturing.<br />

Adapting <strong>the</strong> lessons learned on laboratory model species to species already known to be<br />

capable of growing in large scale might be easier, but as noted above, we cannot be<br />

certain that laboratory strains and productions strains will be sufficiently related to allow<br />

for lessons in <strong>the</strong> former to be applied to <strong>the</strong> latter.<br />

Fuel/intermediate to be produced (H2, lipids, CHO, ethanol, co- products, etc.). One<br />

consideration in choosing model systems is <strong>the</strong> type of fuel or co-product to be produced.<br />

Possible fuel types could include H2, lipids, isoprenoids, carbohydrates, alcohols (ei<strong>the</strong>r<br />

directly or through biomass conversion), or methane (via anaerobic digestion). Coproducts<br />

could include pharmaceuticals (<strong>the</strong>rapeutic proteins, secondary metabolites),<br />

food supplements, or materials for nanotechnology in <strong>the</strong> case of <strong>the</strong> silica cell wall of<br />

diatoms (See Section 7). Discussions at <strong>the</strong> Workshop revealed that some<br />

commercialization strategies focused on <strong>the</strong> non-fuel co-product as <strong>the</strong> path to<br />

profitability. While this strategy may be successful, one can assume that <strong>the</strong> DOE will<br />

only be willing to support such an effort if <strong>the</strong> path to production of significant quantities<br />

of algal biofuel is clearly delineated. With decisions made about fuel product and<br />

additional co-products, a reasonable first approach to identify model species optimal for<br />

production of a desired fuel by surveying <strong>the</strong> literature or environment for species that<br />

naturally make abundant amounts of it. In such a strain, cellular metabolism is already<br />

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