Engineering Biology
Energy Challenge:

Produce affordable and clean energy.

Enable the efficient production of biomass for conversion to electricity.

Engineering Biology Objectives & Technical Achievements

Develop crops that require little water or fertilizer and can be used to generate biomass designed for eventual electricity production.

Engineering DNA Biomolecular Engineering Host Engineering Data Science

Plant chromosome synthesis.

Synthesis of complex (e.g., repeat) DNA.

Engineer proteins that improve the water acquisition in plant (aquaporins).

Engineer proteins that reduce water loss (uniport aquaporins).

Improve plant transformation protocols.

Reduce generation time of model plant species.

Risk assessment models for the impact of engineered plants on the surrounding ecology.

Methods to capture field data (such as growth, microbe composition) under non-standardized conditions over a long period of time.

Engineer organisms (including plants, microorganisms, and algae) to more efficiently convert solar light to fix carbon and produce ATP.

Engineering DNA Biomolecular Engineering Host Engineering Data Science

Plant chromosome synthesis.

Synthesis of complex (e.g., repeat) DNA.

Improve efficiency of extracellular electron transfer from easy-to-grow microbes (e.g., Shewanella).

Light energy conversion: engineer microbes and algae to more efficiently convert solar light to carbon/ATP.

Light capture: expand the range of solar spectrum wavelengths that can be captured by photosynthesis.

Improve CO2 fixation by reducing 2-phosphoglycolate produced by RuBISCO O2 fixation.

Engineer plants with a higher content of lignin and lower cellulose/hemicellulose content to enable greater biomass production.

Convert extracellular electron transfer of diverse redox potential metals from Geobacter species to Shewanella species.

Develop fast-growing, drought-tolerant grasses and trees for specific environments.

Risk assessment model for the impacts of engineered plants on the surrounding ecology.

Methods to capture field data (such as growth, microbe composition) under non-standardized conditions over a long period of time.

Last updated: June 19, 2019 Back