Plant cell cultures for production of medicinal compounds 23
(e.g. vincristine) as well as isoquinoline alkaloid (e.g. berberine, morphine) pathways
(Grothe et al., 2001; Winkel-Shirley, 2001; Samanani and Facchini, 2002; Hashimoto and
Yamada, 2003). These achievements have been reached as a result of very long and
laborious research work. Although metabolic engineering has been very extensively
applied in microbes, the properties of higher eukaryotic cells such as plant cells set unique
challenges, which have complicated the discovery of plant metabolic pathways. In plants,
the metabolic pathways are often long and coordinately regulated by several enzymes.
Furthermore, the enzymes often have high specifities for their substrates, which can be
difficult to obtain, and they have low abundance in plant cells and are sometimes very
labile for use in research purposes. In order to successfully perform metabolic engineering
in plant cells, the regulation of multiple steps in parallel or engineering of the regulatory
genes, such as transcription factors, controlling the complete metabolic pathways is needed.
Metabolic profiling has become an integral part of plant functional genomics (Fiehn et
al., 2000; Oksman-Caldentey and Saito, 2005). However, until recently, almost all plant
metabolomics studies have been applied to primary metabolites. Compared to primary
compounds, profiling of secondary compounds is far more challenging, due to their highly
divergent chemical structures and sensitivities in extraction conditions. The huge variety of
different chemical structures, possessing a range of physical and chemical properties, sets
great challenges for analytical tools when profiling multiple metabolites in parallel
(Oksman-Caldentey et al., 2004). Currently, no single analytical technique provides the
ability to profile the complete metabolome and this obstacle has been addressed by using
selective extraction and combination of analytical platforms. The key for understanding
pathway regulation is to define intermediates and to measure flux through the pathway. By
fluxomics approaches integrated with transcriptomic data, a novel means for mapping
pathways at the systems level from gene to metabolite can be created.
In the case of medicinal plants, the first breakthrough example of metabolic engineering
was achieved by Yun et al. (1992). They cloned the gene H6H (hyoscyamine-6C-
hydroxylase) from Hyoscyamus niger and transferred it into Atropa belladonna, a well-
known hyoscyamine-producing species. As a result, the majority of the hyoscyamine was
converted into scopolamine. Later, this finding resulted in the engineering of this final step
in the tropane alkaloid pathway in various other Solanaceae species (Jouhikainen et al.,
1999; Zhang et al., 2004; Oksman-Caldentey, 2007). Recent development of functional
genomics tools as well as the sequencing of the full genome of model plants such as
Arabidopsis and Medigaco, and crops such as rice, maize, soybean and many others in the
near future, can ameliorate the pathway elucidation by a systems biology approach.
However, for many medicinal plants, there is only very limited or no existing data of ESTs
or entire genome sequences. For these purposes, differential display methods, such as
cDNA-AFLP (Yamazaki and Saito, 2002; Goossens et al., 2003; Rischer et al., 2006) have
proved to be excellent tools. The advantages for genome-wide expression analysis methods
such as cDNA-AFLP include the possibility for quantitative transcript profiling and,
moreover, it is applicable to any organism without the need for prior gene sequence
information. It also allows the discovery of completely novel genes, which is very
important when discovering unknown steps in the biosynthesis. Recent advances in high-
throughput genome sequencing methods, such as pyrosequencing (Ronaghi et al., 1998;
Vera et al., 2008), will allow novel means for gene discovery, giving close to one million
400 bp sequences per run with the possibility to analyse multiple samples in parallel.