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Download the Algal Biofuels Roadmap draft document - Sandia

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evolution of microalgae, and <strong>the</strong>se are likely to have significant effects on metabolic<br />

pathways and regulation of fuel precursor syn<strong>the</strong>sis. For example, fatty acid syn<strong>the</strong>sis,<br />

which occurs in <strong>the</strong> chloroplast, is at least partly regulated by nuclear-encoded gene<br />

products, and <strong>the</strong>re are fundamental differences in <strong>the</strong> interaction between <strong>the</strong> nucleus<br />

and chloroplast in algae with different extents of endosymbiosis (Wilhelm, Buchel et al.,<br />

2006). Continued exploration of <strong>the</strong> evolutionary diversity of algae is important to<br />

identify species that are adept at making fuel precursors and those with high productivity<br />

under various environmental conditions.<br />

Choice of <strong>the</strong> number of algal model systems to study. Given <strong>the</strong> phylogenetic<br />

diversity of microalgae, a large number of model systems could be studied. However, in a<br />

practical sense, <strong>the</strong> number to be studied in depth should be limited because a critical<br />

mass of researchers is required on a given species to make progress. In addition to <strong>the</strong><br />

requirement for making fuel precursors, o<strong>the</strong>r factors related to what model species to<br />

study include ease of application of molecular and biochemical techniques, and<br />

transgenic capabilities. Having a sequenced genomic is critical, but lack of genome<br />

sequence at <strong>the</strong> outset should not be considered a barrier, considering that new<br />

sequencing technologies can generate a eukaryotic genome‘s worth of data in a week. It<br />

must be noted though, that <strong>the</strong> genomic data are only as useful as <strong>the</strong> annotation, so it<br />

will be important to provide sufficient resources to allow for detailed analysis of <strong>the</strong> data.<br />

Cyanobacteria<br />

Cyanobacteria generally do not accumulate storage lipids but <strong>the</strong>y can be prolific<br />

carbohydrate and secondary metabolite producers, grow readily, and both fix atmospheric<br />

nitrogen and produce hydrogen. Moreover, <strong>the</strong>y can be genetically manipulated, making<br />

<strong>the</strong>m attractive organisms for biofuels production. A recent transgenic approach has<br />

enabled cyanobacterial cellulose and sucrose secretion (Nobles and Brown 2008), and<br />

previous work enabled ethanol production (Deng and Coleman 1999).<br />

Cyanobacteria (blue-green algae) have many advantages over land plants, e.g., higher<br />

solar conversion efficiencies, much smaller land footprint, shorter growth cycle, and <strong>the</strong><br />

ability to biosyn<strong>the</strong>size fuels and relevant biocatalysts. A significant advantage of<br />

cyanobacteria over green algae is that <strong>the</strong>y are much easier to manipulate genetically,<br />

<strong>the</strong>refore allowing systematic genetic analysis and engineering of metabolic pathways.<br />

The model cyanobacterium Synechocystis sp. PCC 6803 has <strong>the</strong> potential to become a<br />

platform organism for <strong>the</strong> study of carbon metabolism toward production of hydrocarbon<br />

fuels and intermediates. The genome of this strain was sequenced over a decade ago, as<br />

<strong>the</strong> first among photosyn<strong>the</strong>tic organisms. Many photosyn<strong>the</strong>sis and carbon metabolism<br />

mutants have been generated, and high-throughput analytical techniques have been<br />

applied to <strong>the</strong> study of its transcriptome, proteome, and metabolome. However, a<br />

comprehensive understanding of carbon metabolism and regulation is not yet available,<br />

hindering <strong>the</strong> development of genetic engineering strategy for biofuel production.<br />

In order to redirect carbon to a fuel production pathway, it will be necessary to remove<br />

<strong>the</strong> normal carbon sinks, and to understand <strong>the</strong> consequences at cellular and molecular<br />

levels. The important carbon storage compounds (sinks) in this cyanobacterium include<br />

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