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

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134<br />

R.G. Trischuk, B.S. Schilling, M. Wisniewski <strong>and</strong> L.V. Gusta<br />

expression will depend on the severity <strong>of</strong> the initial shock, the plasticity <strong>of</strong> the genotype<br />

<strong>and</strong> previous environmental perturbations.<br />

2. SYSTEMS BIOLOGY<br />

Systems biology, which presently encompasses transcriptomics, proteomics, <strong>and</strong><br />

metabolomics, is a branch <strong>of</strong> biology whose objective is to discover <strong>and</strong> elucidate<br />

biological properties that emerge due to interactions <strong>of</strong> systems elements (Ideker et al.,<br />

2001; Kitano 2002). These new tools, based on high throughput computers, robotics<br />

<strong>and</strong> new t<strong>and</strong>em mass spectrometer chemistry have resulted in an explosion <strong>of</strong> information<br />

unparalleled in the history <strong>of</strong> biology. This information explosion presents new<br />

challenges for gathering <strong>and</strong> configuring data into interactive models. Thus, the development<br />

<strong>of</strong> predictive models will necessitate strong interactions with other disciplines<br />

such as mathematics, computer sciences, engineering, organic <strong>and</strong> biochemistry, evolutionary<br />

theories <strong>and</strong> bioinformatics. Perhaps the most important discipline for the<br />

success <strong>of</strong> system biology to add new <strong>and</strong> meaningful data will be supplied by the<br />

whole plant biologist who has a thorough knowledge <strong>of</strong> the growth <strong>and</strong> development<br />

<strong>of</strong> plants under natural environments. In studying abiotic stresses such as freezing,<br />

cooling <strong>and</strong> heating rates must be realistic, light intensities must approach sunlight,<br />

water potential changes should be similar to natural changes, <strong>and</strong> growth should not be<br />

restricted by the soil mass, etc. What appears to be forgotten is that many abiotic<br />

stresses occur over days to weeks <strong>and</strong> not in minutes. If experiments do not duplicate<br />

or approach natural conditions it does not make sense to add to the literature erroneous<br />

facts that confuse <strong>and</strong> retard, rather than advance, scientific truths. Controlled environment<br />

studies must be cross-referenced to field studies to obtain meaningful data.<br />

The following sections on transcriptomics, proteomics <strong>and</strong> metabolomics discuss<br />

some recent research on abiotic stress with primary emphasis on cold acclimation.<br />

Due to the limitations <strong>of</strong> all these methods there will be a need for parallel analyses <strong>of</strong><br />

transcripts, protein <strong>and</strong> metabolic pr<strong>of</strong>iles. There will then be a need for comprehensive<br />

identification <strong>of</strong> protein-coding genes, elucidation <strong>of</strong> protein structures <strong>and</strong> identification<br />

<strong>of</strong> protein functions, protein-protein interactions, localization <strong>of</strong> proteins, knowledge<br />

<strong>of</strong> signal transduction cascades to underst<strong>and</strong> cellular dynamics <strong>and</strong> differentiation.<br />

Since cold acclimations is such a dynamic <strong>and</strong> complex multi-gene trait it will only<br />

be possible to identify c<strong>and</strong>idate genes as system biology evolves. In all <strong>of</strong> these<br />

studies morphological <strong>and</strong> anatomical differences in plant tissues will need to be examined<br />

in order to determine their role in ameliorating stresses. Perhaps then it will be<br />

possible to make significant advances in underst<strong>and</strong>ing how plants adapt <strong>and</strong> tolerate<br />

abiotic stress.<br />

3. MICROARRAY ANALYSIS<br />

Microarray analysis is a method <strong>of</strong> global gene analysis that does not necessarily test<br />

theories or models but provides an avenue to explore the expression <strong>of</strong> thous<strong>and</strong>s <strong>of</strong>

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