Author
DUTTA, B - UNIVERSITY OF MARYLAND | |
KLAPA, M - UNIVERSITY OF MARYLAND | |
Vantoai, Tara | |
MOY, L - INSTITUTE FOR GENOMIC RES | |
LINFORD, L - INSTITUTE FOR GENOMIC RES | |
HASSEMAN, J - INSTITUTE FOR GENOMIC RES | |
QUACKENBUSH, J - INSTITUTE FOR GENOMIC RES |
Submitted to: Mid Atlantic Plant Molecular Biology Society Conference
Publication Type: Abstract Only Publication Acceptance Date: 6/1/2003 Publication Date: 8/7/2003 Citation: DUTTA, B., KLAPA, M.I., VANTOAI, T.T., MOY, L., LINFORD, L., HASSEMAN, J., QUACKENBUSH, J. 2003. TRANSCRIPTIONAL PROFILING OF THE SHORT-TERM ARABIDOPSIS THALIANA RESPONSE TO INCREASED CO2 LEVELS USING FULL GENOME DNA MICROARRAYS. Mid Atlantic Plant Molecular Biology Society Conference. p. 29. Interpretive Summary: Technical Abstract: The reaction of plant physiology to elevated CO2 concentrations in the plant growth environment has been the focus of numerous studies, in an effort to understand the effect of potential increase of CO2 level in the environment on the growth and the product yield of plants. However, the majority of the previous studies monitored the long-term response of the plants after long exposure to high CO2 levels. In this study, we measured the short-term physiological response of A. thaliana (Columbia strain) liquid cultures to increased CO2 concentration in their growth environment at the transcriptional level. Specifically, the experiment involved the growth of two sets of plants for 12 days in Gamborg media under constant light and 23ºC. On the 13th day, the two sets of plant liquid cultures were fed air of ambient composition ("control set") and of 1% CO2 ("perturbed set"), respectively and harvested at different time points during the day. Full genome DNA microarrays developed by the group of Dr. Quackenbush at TIGR were used to measure the average (over the entire plant) transcriptional plant profiles, in an effort to identify the characteristic gene expression fingerprint underlying the reaction of the A. thaliana physiology to the imposed CO2 stress. The gene expression profiles were analyzed using the TIGR TM4 open-source DNA microarray analysis software. We have identified a few hundred genes that behave differently in the perturbed versus the control plant set. Using the currently available gene annotation, we present the clustering results in the context of the known A. thaliana metabolic network structure and regulation to derive conclusions about the genomic response of the plant to the external stress. We plan to combine the final conclusions from this analysis with the results from the metabolic profiling analysis of the same plant liquid cultures (see Kanani et. al.) to identify similarities and differences between the genomic and metabolic reaction of the plant to elevated levels of CO2 in their growth environment. |