Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
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Freezing <strong>Stress</strong><br />
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genes at the transcriptional level (Schena et al., 1995). Genomic sequencing projects<br />
have provided genetic information for entire genomes , however, the expression or<br />
function <strong>of</strong> many <strong>of</strong> these genes during a physiological process has yet to be determined.<br />
The ability to quantify <strong>and</strong> compare gene expression on a global scale is a<br />
powerful analytic tool. Microarray analysis makes it possible to potentially monitor<br />
<strong>and</strong> quantitate transcript levels <strong>of</strong> an entire genome in any biological state (eg. Response<br />
to pathogens, abiotic stress, developmental stage, etc.) (Brown <strong>and</strong> Botstein<br />
1999; Duggan et al 1999). The information obtained from this approach can be used to<br />
elucidate biochemical <strong>and</strong> regulatory pathways. C<strong>and</strong>idate genes can be selected based<br />
on environmental condition, tissue, or physiological response <strong>and</strong> promoter regions<br />
determined for c<strong>and</strong>idate genes using genomic DNA.<br />
However, microarray analysis has some limitations. For example, this process<br />
can be limited by the diversity <strong>of</strong> biological samples used to generate the complimentary<br />
DNA (cDNA) libraries. The library developed may be limited by developmental<br />
stage, tissue type, or growth condition; therefore, changes in gene expression are<br />
restricted to the cDNA or expressed sequence tags (ESTs) isolated. Difficulty may arise<br />
in sampling a particular cDNA library to sufficiently identify low abundance transcripts<br />
<strong>and</strong> the use <strong>of</strong> genomic DNA over cDNA may increase the amount <strong>of</strong> hybridization with<br />
pseudogenes. The utility <strong>of</strong> this approach is hampered by the number <strong>of</strong> genes that<br />
exist in the database to which no known function has been assigned. Knowledge <strong>of</strong> the<br />
complete genome <strong>of</strong> the organism being studied would be ideal to underst<strong>and</strong> gene<br />
expression such as Arabidopsis to reduce the number <strong>of</strong> unknown genes as well as<br />
isolate promoter regions.<br />
Microarray analysis has proven to be a powerful tool to study gene expression<br />
<strong>and</strong> underst<strong>and</strong>ing the multiple response pathways that influence plant growth<br />
<strong>and</strong> development. Prior studies generally investigated a single gene product during<br />
stress <strong>and</strong> most <strong>of</strong>ten did not define the role <strong>of</strong> the stress-related gene stressing conferring<br />
tolerance to the stress. Microarray analysis has broadened the analysis <strong>of</strong> gene<br />
expression in response to a stress determining large scale changes in transcript pr<strong>of</strong>iles<br />
associated with stress <strong>and</strong> has confirmed the results <strong>of</strong> the single gene studies (Seki et<br />
al., 2001; Heath et al., 2002). Microarray analysis has been used to explore the role <strong>of</strong><br />
individual genes <strong>and</strong> groups <strong>of</strong> genes expressed in plant tissues at various growth<br />
stages <strong>and</strong> under different environmental stress conditions (Fern<strong>and</strong>es et al., 2002).<br />
Fern<strong>and</strong>es et al. (2002) conducted a comparative analysis <strong>of</strong> maize gene expression to<br />
test the hypothesis that different structures express discrete sets <strong>of</strong> genes. The EST<br />
libraries were developed from corn leaf primordia, 10-14 day old endosperm, 1-2 cm<br />
immature ear, 4 day old root tissue, 1 mm tassel, greater than 2 cm tassel, mixed tassel<br />
stages, mixed embryo stages, <strong>and</strong> mixed adult organs. As a result, each tissue <strong>and</strong><br />
development stage sampled in maize appeared to have a distinct set <strong>of</strong> moderate to<br />
highly expressed genes from specific gene families. The use <strong>of</strong> microarray analysis is<br />
not limited to the species the cDNA or ESTs were isolated from. Similar gene expression<br />
results can be obtained from closely related species. Girke et al. (2000) developed