Project description:Elevated CO2 (eCO2) has an influence on developing leaf growth of rice (Oryza sativa cv. Nipponbare), specifically lower growth stage than P4 (plastochron number), resulting in decrease in leaf size compared with that in ambient CO2 (aCO2). Since several micro RNAs are associated with the regulation of plant leaf development, in order to clarify which micro RNAs are involved in the decrease of leaf blade size at eCO2, we carried out high-throughput small RNA sequencing analysis and compared the amount of identified miRNAs in developing rice leaf blade grown between aCO2 and eCO2 condition.
Project description:Elevated CO2 (eCO2) condition has influence on developing leaf growth of rice (Oryza sativa cv. Nipponbare), specifically lower than P4 (plastochron number) stage, resulting in decrease in leaf size compared with that grown at ambient CO2 (aCO2). In this case, decrease in leaf size seems to be one of acclimation process at CO2 replete environment despite of the fact that number of tiller increase during CO2 replete periods; however, it is not yet elucidated which endogenous signal play a precise role in depression of developing leaf growth in those process. In this context, to elucidate precise signal interaction between mature and developing leaf of rice at eCO2 environment, we profiled gene expressions of developing rice leaf (P4) using oligo DNA microarray 4X44K RAP-DB (Agilent Technologies, Santa clara, CA).
Project description:Elevated CO2 (eCO2) condition has influence on developing leaf growth of rice (Oryza sativa cv. Nipponbare), specifically lower than P4 (plastochron number) stage, resulting in decrease in leaf size compared with that grown at ambient CO2 (aCO2). In this case, decrease in leaf size seems to be one of acclimation process at CO2 replete environment despite of the fact that number of tiller increase during CO2 replete periods; however, it is not yet elucidated which endogenous signal play a precise role in depression of developing leaf growth in those process. In this context, to elucidate precise signal interaction between mature and developing leaf of rice at eCO2 environment, we profiled gene expressions of mature rice leaf blade (P6) using oligo DNA microarray 4X44K RAP-DB (Agilent Technologies, Santa clara, CA).
Project description:The transcript responses of both growing, trifoliate 6 and fully expanded, trifoliate 4 soybean leaves to elevated CO2 was investigated. We also compared the transcriptome of fully expanded vs. developing leaves in both ambient and elevated CO2. Keywords = soybean Keywords = elevated carbon dioxide Keywords = global change Keywords = leaf growth Keywords = plant Keywords: soybean leaf comparisons
Project description:Plant respiration responses to elevated growth [CO2] are key uncertainties in predicting future crop and ecosystem function. In particular, the effects of elevated growth [CO2] on respiration over leaf development are poorly understood. This study tested the prediction that, due to greater whole-plant photoassimilate availability and growth, elevated [CO2] induces transcriptional reprogramming and a stimulation of nighttime respiration in leaf primordia, expanding leaves, and mature leaves of Arabidopsis thaliana. In primordia, elevated [CO2] altered transcript abundance, but not for genes encoding respiratory proteins. In expanding leaves, elevated [CO2] induced greater glucose content and transcript abundance for some respiratory genes, but did not alter respiratory CO2 efflux. In mature leaves, elevated [CO2] led to greater glucose, sucrose and starch content, plus greater transcript abundance for many components of the respiratory pathway, and greater respiratory CO2 efflux. Therefore, growth at elevated [CO2] stimulated dark respiration only after leaves transitioned from carbon sinks into carbon sources. This coincided with greater photoassimilate production by mature leaves under elevated [CO2] and peak respiratory transcriptional responses. It remains to be determined if biochemical and transcriptional responses to elevated [CO2] in primordial and expanding leaves are essential prerequisites for subsequent alterations of respiratory metabolism in mature leaves.
Project description:Plant respiration responses to elevated growth [CO2] are key uncertainties in predicting future crop and ecosystem function. In particular, the effects of elevated growth [CO2] on respiration over leaf development are poorly understood. This study tested the prediction that, due to greater whole-plant photoassimilate availability and growth, elevated [CO2] induces transcriptional reprogramming and a stimulation of nighttime respiration in leaf primordia, expanding leaves, and mature leaves of Arabidopsis thaliana. In primordia, elevated [CO2] altered transcript abundance, but not for genes encoding respiratory proteins. In expanding leaves, elevated [CO2] induced greater glucose content and transcript abundance for some respiratory genes, but did not alter respiratory CO2 efflux. In mature leaves, elevated [CO2] led to greater glucose, sucrose and starch content, plus greater transcript abundance for many components of the respiratory pathway, and greater respiratory CO2 efflux. Therefore, growth at elevated [CO2] stimulated dark respiration only after leaves transitioned from carbon sinks into carbon sources. This coincided with greater photoassimilate production by mature leaves under elevated [CO2] and peak respiratory transcriptional responses. It remains to be determined if biochemical and transcriptional responses to elevated [CO2] in primordial and expanding leaves are essential prerequisites for subsequent alterations of respiratory metabolism in mature leaves. Arabidopsis plants were grown in either ambient (370 ppm) or elevated (750 ppm) CO2. Leaf number 10 was harvested when it was a primordia, expanding, or mature in each of the CO2 treatments.
Project description:We were awarded a BBSRC grant about a year ago to undertake some affymetrix gene chip profiling of light and CO2 systemic signalling in Arabidopsis. The design of the proposed experiment is given below and the appropriate funding has been provided by the BBSRC. The aim of the project is to identify the temporal profile of those genes that respond to light and CO2 systemic signals in developing leaves. Moreover, as thes two signals have opposing effects on leaf development to ascertain whether they involve similar or parallel signalling pathways. The experiment is to examine the effect of exposing mature leaves to high CO2 or low light or both on the gene expression profile of developing leaves. We already have data for maize that changes in gene expression profile occur within 4h and that there are a variety of temporal responses that differ between individual gene transcripts. We have also demonstrated that Arabidopsis leaf development is altered by these systemmic signals and that lesions in the jasmonate and ethylene signalling pathways block these responses. Our experimental design is shown below: We have 4 treatments and 7 timepoints. (0, 2, 4, 12, 24, 48, 96 h) We would sample from 5 individual plants that would be pooled for each RNA preparation. This would require 28 chips and this would include extra replication of the 0 time-point control (deemed by many as nessary). Experimental details: All plants were germinated for 7 days under the following conditions: Humax multi-purpose compost, ambient carbon dioxide (370 ppm) and ambient light (250 µmol/m/s), constant temperature of 20°C and a 10 h photoperiod (8 am until 6 pm). After a week the the seedlings were potted up into 104-cell plug trays for a further 2 weeks and then potted up into 10 cm pots and the bottom part of the signalling cuvette system attached (see Lake et al., Nature 10th May 2001 Vol. 411, pp 154). Twenty four, 4 week old plants, then had the top part of the signalling system attached, trapping leaf insertions 5-13. Humidified, ambient air was passed through them at 500 mls/min via an oil-free air compressor. The three target leaves (19-21) were then marked with non-toxic, acrylic paint. After a 24 h period (the plants were sealed into the cuvettes from 10 am until 10am) of adjustment, the experiment was started by harvesting the target leaves from 4 plants and immediately freezing the tissue in liquid nitrogen to give the 0 h sample before RNA extraction. The remaining 20 plants were divided into 4 groups of five and given one of the following treatments: Ambient carbon dioxide/ambient light (Control) (A) Elevated carbon dioxide (750 ppm)/ambient light (E) Ambient carbon dioxide/low light (50 µmol/m/s) (AS) Elevated carbon dioxide/low light (ES) - For the Elevated CO2, elevated CO2 was pumped in using a CT room next door set to same temperature but with a CO2 cylinder inside and the same pump as used in the ambient room to supply the elevated CO2 laden, humidified air into the signalling room using rubber tubing. - Shade treatment consisted of neutral density filter (Cat. 210 0.6ND, Lee Filters) that had a hole cut in the middle to allow the middle developing leaves to grow through. A timecourse of 2, 4, 12, 24, 48 and 96 h were carried out each using a batch of 24 plants. This whole process was repeated with another batch of 24 plants at the same developmental stage to give a 2, 4, 12, 24, 48 and 96 hour sample from each of the four treatments. The whole timecourse was then repeated 4 times. For the mature leaves: We had 8 chips left over so we devised this little experiment to assess the gene changes that were occurring in the enclosed, treated, mature leaves that were signalling the environment to the young developing leaves. Experimenter name = Simon Coupe Experimenter phone = 0114 222 4115 Experimenter fax = 0114 222 0002 Experimenter institute = University of Sheffield Experimenter address = Animal and Plant Sciences Experimenter address = University of Sheffield Experimenter address = Western Bank Experimenter address = Sheffield Experimenter zip/postal_code = S10 2TN Experimenter country = UK Keywords: development_or_differentiation_design; growth_condition_design
Project description:Analysis of rice leaves (V2 stage) in response to a short treatment with very high CO2 concentration in the dark, using standard atmosphere as control. Results provide insight into molecular mechanisms occurring in response to these extreme conditions, which are often used in the food industry.