Prospecting macroalgae (seaweeds) as feedstocks for bioconversion into biofuels and commodity chemical compounds is limited primarily by the availability of tractable microorganisms that can metabolize alginate polysaccharides. Here, we present the discovery of a 36-kilo-base pair DNA fragment from Vibrio splendidus encoding enzymes for alginate transport and metabolism. The genomic integration of this ensemble, together with an engineered system for extracellular alginate depolymerization, generated a microbial platform that can simultaneously degrade, uptake, and metabolize alginate. When further engineered for ethanol synthesis, this platform enables bioethanol production directly from macroalgae via a consolidated process, achieving a titer of 4.7% volume/volume and a yield of 0.281 weight ethanol/weight dry macroalgae (equivalent to ~80% of the maximum theoretical yield from the sugar composition in macroalgae).

We describe a computationally designed enzyme, formolase (FLS), which catalyzes the carboligation of three one-carbon formaldehyde molecules into one three-carbon dihydroxyacetone molecule. The existence of FLS enables the design of a new carbon fixation pathway, the formolase pathway, consisting of a small number of thermodynamically favorable chemical transformations that convert formate into a three-carbon sugar in central metabolism. The formolase pathway is predicted to use carbon more efficiently and with less backward flux than any naturally occurring one-carbon assimilation pathway. When supplemented with enzymes carrying out the other steps in the pathway, FLS converts formate into dihydroxyacetone phosphate and other central metabolites in vitro. These results demonstrate how modern protein engineering and design tools can facilitate the construction of a completely new biosynthetic pathway.computational protein design | pathway engineering | carbon fixation N ovel strategies are needed to address current challenges in energy storage and carbon sequestration. One approach is to engineer biological systems to convert one-carbon compounds into multicarbon molecules such as fuels and other high value chemicals. Many synthetic pathways to produce value-added chemicals from common feedstocks, such as glucose, have been constructed in organisms that lack one-carbon anabolic pathways, such as Escherichia coli or Saccharomyces cerevisiae (1-3); however, despite considerable effort, it has been difficult to introduce heterologous one-carbon fixing pathways into these organisms (4). Likely problems include the inherent complexity, environmental sensitivity, inefficiency, or unfavorable chemical driving force of naturally occurring one-carbon metabolic pathways (5).An optimal pathway for one-carbon utilization in common synthetic biology platforms would be (i) composed of a minimal number of enzymes, (ii) linear and disconnected from other metabolic pathways, (iii) thermodynamically favorable with a significant driving force at most or all steps, and (iv) capable of functioning in a robust manner under both aerobic and anaerobic conditions (5). A pathway with these properties could enable the assimilation of one-carbon molecules as the sole carbon source for the production of fuels and chemicals. Although no such pathway is known in nature, the established electrochemical reduction of carbon dioxide to formate under ambient temperatures and pressures in neutral aqueous solutions provides an attractive starting point for a onecarbon fixation pathway (5-8).We describe the computational design of an enzyme that catalyzes the carboligation of three one-carbon molecules into a single three-carbon molecule. This enzyme enables the construction of a new pathway, the formolase pathway, in which formate is converted into the central metabolite dihydroxyacetone phosphate (DHAP; Fig. 1). The use of computational protein design to reengineer catalytic activities opens up the pathway design space beyond that available based o...

Recent advances in computational methods have enabled the predictive design of self-assembling protein nanomaterials with atomic-level accuracy. These design strategies focus exclusively on a single target structure, without consideration of the mechanism or dynamics of assembly. However, understanding the assembly process, and in particular its robustness to perturbation, will be critical for translating this class of materials into useful technologies. Here we investigate the assembly of two computationally designed, 120-subunit icosahedral complexes in detail using several complementary biochemical methods. We found that assembly of each material from its two constituent protein building blocks was highly cooperative and yielded exclusively complete, 120-subunit complexes except in one non-stoichiometric regime for one of the materials. Our results suggest that in vitro assembly provides a robust and controllable route for the manufacture of designed protein nanomaterials and confirm that cooperative assembly can be an intrinsic, rather than evolved, feature of hierarchically structured protein complexes.

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