Abstract:
Plants are the raw materials for the
world’s feed supply as well as biobased industrial products.
Providing an ample food supply for all humankind is a
serious challenge for our society. Plants
as a biorenewable resource have the potential for providing
society with many of our basic goods as well as energy. The
design of plants to meet these potentially competing demands is
a scientific and engineering challenge. Plant metabolic
engineering provides a means of understanding plant biology -
“systems biology”. Plant metabolic engineering is also the
basis of designing new plants. “Predictive metabolic
engineering” (Sweetlove, Last, and Fernie, 2003) is a worthy
goal for both aspects. The
integration of knowledge for prediction will require design
software as well as powerful experimental tools. While
comprehensive integration of “omics” data in a mathematical
model is an ideal goal, using these types of techniques on
subsets of metabolism could help develop logic-based design
rules, instead of empirical ones. Plants, by both their
complexity and timescale of growth, impose formidable
requirements for quantitative analysis and precise synthesis
tools. This talk
will highlight some of our work in engineering of overproduction
of tryptophan and indole alkaloids in hairy root cultures of the
medicinal plant Catharanthus
roseus.
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