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Physiology and Molecular Biology of Stress ... - KHAM PHA MOI

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Metabolic Engineering for <strong>Stress</strong> Tolerance<br />

257<br />

with tools to transform almost any crop species (Li et. al., 2001). However, the efficiency<br />

<strong>of</strong> gene transfer remains low for many important crops <strong>and</strong> needs to be improved. There<br />

is an increased availability <strong>of</strong> expression elements such as stress inducible promoters,<br />

vectors, selectable markers <strong>and</strong> data on the stability <strong>of</strong> recombinant proteins expressed<br />

in transgenic plants (Curtis <strong>and</strong> Grossniklaus, 2003; Fischer et. al., 2004; Herbers <strong>and</strong><br />

Sonnewald, 1999; Penna et. al., 2002; Schunmann et. al., 2003). Now, progress has been<br />

made to insert a single gene or multiple genes in a single transformation event (gene<br />

stacking), allowing one to build a multi-step pathway (Chen et. al., 1998, van Bel et. al.,<br />

2001). Expression <strong>of</strong> transgenes in the plastids via chloroplast transformation (Daniell<br />

<strong>and</strong> Dhingra, 2002) is used for high level expression <strong>of</strong> genes. Some <strong>of</strong> the technical<br />

problems surrounding gene transfer in particular crops will eventually be overcome.<br />

2.2. Wild Species to Underst<strong>and</strong> Specific <strong>Stress</strong> Adaptations<br />

Many wild plants have evolved interesting, <strong>and</strong> <strong>of</strong>ten unique <strong>and</strong> complex stress adaptations.<br />

Therefore, it is possible to identify unique pathways, transport processes <strong>and</strong><br />

regulatory networks, not present in current model species, like Arabidopsis thaliana<br />

<strong>and</strong> rice. For this purpose there is a need to develop genomic <strong>and</strong> bioinformatic resources<br />

on highly stress-tolerant plants <strong>and</strong> other organisms. One approach is to use<br />

comparative genomics to identify genes implicated in stress tolerance. For example, the<br />

genomes <strong>of</strong> wild stress-tolerant relatives to Arabidopsis <strong>and</strong> Oryza can first be exploited<br />

for novel genes.<br />

Based on physiological <strong>and</strong> molecular characterizations available in the literature,<br />

many plant species could be suggested to be models to study specific stress<br />

adaptations. These include but not limited to Thellungiella halophila (Volkov et. al.,<br />

2003), Limonium latifolium (Rathinasabapathi et. al., 2001; Raman <strong>and</strong> Rathinasabapathi,<br />

2003), Mesembryanthemum crystallinum (Vera-Esterella et. al., 2004), Atriplex hortensis<br />

(Shen et. al., 2003), Porteresia coarctata (Majee et. al., 2004), Tortula ruralis (Wood et.<br />

al., 1999) <strong>and</strong> Xerophyta viscosa (Garve et. al., 2003). Depending upon the kind <strong>of</strong> gene<br />

mining strategy, the whole genome sequence may not be required for all the stresstolerant<br />

models. Genomic research tools such as cDNA libraries, expressed sequence<br />

tag (EST) libraries, pr<strong>of</strong>iles <strong>of</strong> stress modulated genes <strong>and</strong> gene products using<br />

microarray <strong>and</strong> proteomics technologies are required for various stress-tolerant wild<br />

plants <strong>and</strong> other organisms.<br />

2.3. Selection <strong>of</strong> Targets for Metabolic Engineering<br />

Specific metabolites <strong>and</strong> their synthetic pathways have been implicated in stress tolerance<br />

in plants. This has been done over the years using comparative physiology<br />

between stress-tolerant <strong>and</strong> non-tolerant species. Metabolic engineering for stress<br />

tolerance can be achieved by amplifying constitutive concentration <strong>of</strong> antioxidants <strong>and</strong><br />

assembly <strong>of</strong> compatible solutes in the plant tissues (Bohnert <strong>and</strong> Shen, 1999; Verpoorte

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