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Microsoft PowerPoint - CO2 poster-HB1

Microsoft PowerPoint - CO2 poster-HB1 - Elevated CO2...

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Elevated CO 2 differentially affects gene expression and metabolite profiles in Arabidopsis thaliana ecotypes and in Thellungiella halophila Pinghua Li 1 , Shrinivasrao Mane 2 , Alexander Ulanov 3 , Allan Sioson 4 , Gregory Grothaus 4 , Andrew Leakey 1 , Elizabeth Ainsworth 1 , Lenwood Heath Lenwood Heath 4 , T. M. Murali 4 , Hans J Bohnert , Hans J Bohnert 1,3 , Ruth Grene , Ruth Grene 2 1 Department of Plant Biology, and Department of Plant Biology, and 3 Department of Crop Sciences, University of Illinois, 1201 W Greg ory Drive, Urbana, Il 61801, USA 2 Department of Plant Pathology, Physiology, and Weed Science, and Department of Plant Pathology, Physiology, and Weed Science, and 4 Department of Computer Science, Virginia Tech, Blacksburg, VA 24 Department of Computer Science, Virginia Tech, Blacksburg, VA 24 061, USA 061, USA Global atmospheric CO 2 concentration [CO 2 ] has increased to its highest level in recent history and is expected to nearly double during this century. Insight into how plants respond and adapt to the projected increase in [CO 2 ] is important, and understanding will also help to better comprehend the biochemistry of carbon assimilation in general and the consequences for plant performance in a shifting global scenario to which plants must adapt. The UIUC SoyFACE (Free-Air Concentration Enrichment) facility, which simulates atmospheric conditions expected by 2050, provides great advantage to gauge plant responses to elevated CO 2 . In this study, we grew Arabidopsis thaliana Col-0, Cvi-0, WS and Thellungiella halophila in the field within SoyFACE, harvested them after a 10-14d exposure to elevated CO 2 , used Arabidopsis long oligo microarrays combined with metabolite profiles by GC-MS to monitor effects of elevated CO 2 on transcript and metabolite abundance. The results indicated that a core set of signature processes and genes reporting atmospheric CO2 response pathways united Thellungiella and the three Arabidopsis ecotypes, while different behavior in several metabolic pathways distinguished ecotypes among each other and with respect to Thellungiella. Introduction Experiment and analysis flow chart Shoots RNA extraction Microarray hybridization Real-time PCR verification Synthesis & labeling of cDNA Wolfinger two-stages statistical analysis Mapman pathway analysis Ambient CO 2 material Elevated CO 2 material Segments from the Arabidopsis oligo-array slide (total 26,000 elements, control elements are boxed) Wolfinger two two- stages statistical analysis First – Normalization Model Fitting y gijkln = μ + T i + D j + A k + ( T × A ) ik + B l ( k ) + ε gijkln y: Log intensity values μ: Overall means T: Treatment D: Dye A: Array T×A:Treat-array interaction B: Block within array Second - Gene Model Fitting ε gijkln = G g + ( G × T ) gi + ( G × D ) gj + ( G × A ) gk +( G × S ) gn + λ gijkln ε : Residuals from normalization G: Gene specific mean λ : Residuals G×T: Gene treatment interaction G×D: Gene Dye interaction G×A: Gene array interaction G×S: Gene spot interaction Assessment of significantly differential expressed genes Results Cvi-0 grew best in elevated CO 2
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