RNA-seq of Arabidopsis thaliana roots under contrasted levels of atmospheric CO2, nitrate and iron
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ABSTRACT:
PROVIDER: PRJEB58822 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR10760464_1.fastq.gz | Fastqsanger.gz | |||
| ERR10760464_2.fastq.gz | Fastqsanger.gz | |||
| ERR10760465_1.fastq.gz | Fastqsanger.gz | |||
| ERR10760465_2.fastq.gz | Fastqsanger.gz | |||
| ERR10760466_1.fastq.gz | Fastqsanger.gz |
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Project description:Elevated CO2 leads to major changes in plant physiology, including stimulation of growth and alteration of mineral content. In order to identify root genes that might be involved in the CO2 plant response, we grew Arabidopsis thaliana plants in hydroponics under contrasted levels of atmospheric CO2, nitrate and iron provision. Roots were collected and RNA-seq were performed.
2023-11-22 | E-MTAB-12483 | biostudies-arrayexpress
Project description:This data set corresponds to the analysis of genome expression, realized by RNA-seq, in response to an elevation of atmospheric CO2 concentration in root and shoot of Arabidopsis thaliana.
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Project description:This work aims to study the effect of the elevated CO2 concentration on the tomato plant response to the toxicity provoked by ammonium nutrition. Tomato plants (Solanum lycopersicum L. cv. Agora Hybrid F1, Vilmorin®) were grown for 4 week with 15 mM of nitrogen, supplied as nitrate or ammonium, at ambient or elevated CO2 conditions (400 ppm or 800 ppm). Transcription profiling by array was carried out in roots for the four growth conditions assayed and gene expression comparisons were done between N sources and CO2 conditions: i) genes differentially expressed in response to the atmospheric CO2 concentration (800 ppm vs 400 ppm CO2) under nitrate or ammonium nutrition; ii) genes differentially expressed in response to the N source (ammonium vs nitrate) under ambient or elevated condition. 3 biological replicates for each growth condition were analysed.CO2).
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2012-10-30 | GSE37621 | GEO
Project description:Elevated atmospheric CO2 can influence the structure and function of rhizosphere microorganisms by altering root growth and the quality and quantity of compounds released into the rhizosphere via root exudation. In these studies we investigated the transcriptional responses of Bradyrhizobium japonicum cells growing in the rhizosphere of soybean plants exposed to elevated atmospheric CO2. The results of microarray analyses indicated that atmospheric elevated CO2 concentration indirectly influences on expression of large number of Bradyrhizobium genes through soybean roots. In addition, genes involved in C1 metabolism, denitrification and FixK2-associated genes, including those involved in nitrogen fixation, microanaerobic respiration, respiratory nitrite reductase, and heme biosynthesis, were significantly up-regulated under conditions of elevated CO2 in the rhizosphere, relative to plants and bacteria grown under ambient CO2 growth conditions. The expression profile of genes involved in lipochitinoligosaccharide Nod factor biosynthesis and negative transcriptional regulators of nodulation genes, nolA and nodD2, were also influenced by plant growth under conditions of elevated CO2. Taken together, results of these studies indicate that growth of soybeans under conditions of elevated atmospheric CO2 influences gene expressions in B. japonicum in the soybean rhizosphere, resulting in changes to carbon/nitrogen metabolism, respiration, and nodulation efficiency.
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Project description:Diatoms are responsible for ~40% of marine primary productivity1, fueling the oceanic carbon cycle and contributing to natural carbon sequestration in the deep ocean2. Diatoms rely on energetically expensive carbon concentrating mechanisms (CCMs) to fix carbon efficiently at modern levels of CO23–5. How diatoms may respond over the short and long-term to rising atmospheric CO2 remains an open question. Here we use nitrate-limited chemostats to show that the model diatom Thalassiosira pseudonana rapidly responds to increasing CO2 by differentially expressing gene clusters that regulate transcription and chromosome folding and subsequently reduces transcription of photosynthesis and respiration gene clusters under steady-state elevated CO2. These results suggest that exposure to elevated CO2 first causes a shift in regulation and then a metabolic rearrangement. Genes in one CO2-responsive cluster included CCM and photorespiration genes that share a putative cyclic-AMP responsive cis-regulatory sequence, implying these genes are co-regulated in response to CO2 with cAMP as an intermediate messenger. We verified cAMP-induced down-regulation of CCM gene ?-CA3 in nutrient-replete diatom cultures by inhibiting the hydrolysis of cAMP. These results indicate an important role for cAMP in down-regulating CCM and photorespiration genes under elevated CO2 and provide insights into mechanisms of diatom acclimation in response to climate change. In steady-state experiments: axenic T. pseudonana cells in four biological replicates (duplicate chemostats x 2 experimental runs) were acclimated to nitrate-limitation at 70% (1.5 day-1) of max growth rate for >10 days (>15 generations) under continuous light of 80 µmol photons·m?2·s?1. Cell biomass was maintained at ~2 x 105 cells·mL?1 by 10 ?M nitrate and carbonate chemistry stabilized to 300, 475 or 800 ?atm CO2, verified by pH and DIC measurements. Transition samples and carbonate chemistry were collected daily from chemostat cultures as CO2 levels were increased from ~300-800 ?atm at a rate ? 0.2 ?atm·min?1 over four consecutive days (6 generations) after pre-acclimation to 300 ?atm CO2 and nitrate-limitation.
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Project description:Diatoms are responsible for ~40% of marine primary productivity1, fueling the oceanic carbon cycle and contributing to natural carbon sequestration in the deep ocean2. Diatoms rely on energetically expensive carbon concentrating mechanisms (CCMs) to fix carbon efficiently at modern levels of CO23–5. How diatoms may respond over the short and long-term to rising atmospheric CO2 remains an open question. Here we use nitrate-limited chemostats to show that the model diatom Thalassiosira pseudonana rapidly responds to increasing CO2 by differentially expressing gene clusters that regulate transcription and chromosome folding and subsequently reduces transcription of photosynthesis and respiration gene clusters under steady-state elevated CO2. These results suggest that exposure to elevated CO2 first causes a shift in regulation and then a metabolic rearrangement. Genes in one CO2-responsive cluster included CCM and photorespiration genes that share a putative cyclic-AMP responsive cis-regulatory sequence, implying these genes are co-regulated in response to CO2 with cAMP as an intermediate messenger. We verified cAMP-induced down-regulation of CCM gene δ-CA3 in nutrient-replete diatom cultures by inhibiting the hydrolysis of cAMP. These results indicate an important role for cAMP in down-regulating CCM and photorespiration genes under elevated CO2 and provide insights into mechanisms of diatom acclimation in response to climate change.
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Project description:The main objective of the present work is the transcriptomic analysis of the interaction between nitrogen nutrition and CO2 levels in maritime pine. For this purpose, seedlings were fertilized with nitrate or ammonium and grown in two different CO2 levels: normal (400 ppm) and high (720ppm).
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Project description:Elevated atmospheric CO2 can influence the structure and function of rhizosphere microorganisms by altering root growth and the quality and quantity of compounds released into the rhizosphere via root exudation. In these studies we investigated the transcriptional responses of Bradyrhizobium japonicum cells growing in the rhizosphere of soybean plants exposed to elevated atmospheric CO2. Transciptomic expression profiles indicated that genes involved in carbon/nitrogen metabolism, and FixK2-associated genes, including those involved in nitrogen fixation, microanaerobic respiration, respiratory nitrite reductase, and heme biosynthesis, were significantly up-regulated under conditions of elevated CO2, relative to plants and bacteria grown under ambient CO2 growth conditions. The expression profile of genes involved in lipochitinoligosaccharide Nod factor biosynthesis and negative transcriptional regulators of nodulation genes, nolA and nodD2, were also influenced by plant growth under conditions of elevated CO2. Taken together, results of these studies indicate that growth of soybeans under conditions of elevated atmospheric CO2 influences gene expressions in B. japonicum in the soybean rhizosphere, resulting in changes to carbon/nitrogen metabolism, respiration, and nodulation efficiency. Bradyrhizobium japonicum strains were grown in the soybean rhizosphere under two different CO2 concentrations. Transcriptional profiling of B. japonicum was compared between cells grown under elevated CO2 and ambient conditions. Four biological replicates of each treatment were prepared, and four microarray slides were used for each strain.
2010-07-28 | E-GEOD-23296 | biostudies-arrayexpress
Project description:Cyanobacteria are oxygenic photoautotrophs notable for their ability to utilize atmospheric CO2 as the major source of carbon. The prospect of using cyanobacteria in converting solar energy and high concentrations of CO2 (e.g. flue gas from coal power plants) efficiently into biomass and renewable energy sources is of interest to many research fields. In order to guide further advances in this area, a better understanding about the metabolic changes that occur under conditions of high CO2 is important. The objective of this study is to utilize genome-wide microarray expression profiling in the unicellular diazotrophic cyanobacterium Cyanothece 51142 grown in 8% CO2-enriched air and to determined the impact of high CO2 on cyanobacterial cell physiology and growth. Study of metabolic and cellular adaptations to high CO2 conditions in the unicellular diazotrophic cyanobacterium Cyanothece 51142. Two-condition experiment: 0.03% CO2 vs. 8% CO2. Biological replicates: 2; technical replicates: 3; Spots/ORF: 3 per Chip. Samples were collected at 7 time points over a period of two days, namely, Day1_30minLight (30min), Day1_2hrsLight (2hr), Day1_6hrsLight (6hr), Day1_1hrsDark (13hr), Day1-6hrsDark (18hr), Day2_6hrsLight (30hr) and Day2_6hrsDark (42hr).
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