Developing Molecular Genetic Tools to Facilitate Economic Production in Green Algae

Abstract

It is now accepted that algae have enormous potential to generate economically viable and environmentally sustainable liquid fuels that can help mitigate the effects of a diminishing supply of fossil fuel. The achievement of economic biofuel production from any algal species will almost certainly require advanced genetic techniques. Although these tools are available for model algal species they are not readily available for algae that are being identified as potential biofuel production strains. Our work was focused on developing the genetic tools required to enable green algae to become efficient biofuel production strains. Being able to efficiently apply genetic transformation techniques to green algae species will allow us to generate strains that contain ideal traits for maximally efficient fuel production, and will also enable crop protection, improved nutrient utilization, and increased harvesting efficiency, all of which will help drive the economic viability of algal fuel production. Algae have two genomes that are typically transformed: the nuclear genome and the chloroplast genome, and each of these genomes require distinct sets of transformation vectors and protocols. In this proposal we aimed to improve the potential of marine algae by developing genetic tools for chloroplast through the following aims.

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Document Details

Document Type
Technical Report
Publication Date
Sep 10, 2012
Accession Number
ADA575716

Entities

People

  • David R. Georgianna
  • Javier Gimpel
  • Michael J. Hannon
  • Stephen P. Mayfield

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algae Fuels
  • Biofuels
  • Biological Sciences
  • Biotechnology
  • Chemistry
  • Efficiency
  • Fossil Fuels
  • Fuels
  • Fungi
  • Genetic Engineering
  • Genetic Techniques
  • Plastids
  • Production
  • Proteins
  • Recombinant Proteins
  • Scientific Research

Fields of Study

  • Biology

Readers

  • Distributed Systems and Data Platform Development
  • Energy Conservation and Renewable Energy Engineering.
  • Environmental Engineering

Technology Areas

  • Biotechnology