Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of stress response by multi-scale analyses of drought effect in Arabidopsis thaliana under future climate CO2

ABSTRACT: We used a multidisciplinary approach to investigate the interaction of drought and elevated CO2 in Arabidopsis thaliana leaves. Transcriptome and subsequent metabolite analyses identified a strong induction of the aliphatic glucosinolate (GL) biosynthesis as a main effect of eCO2 in drought-stressed leaves. We subjected Arabidopsis seedlings to a combination of two hydration (well-watered and drought) and CO2 levels (ambient (375±9 ppm; aCO2) and elevated (633±16 ppm; eCO2). To identify the molecular mechanisms involved in response to drought and eCO2, we performed a genome-wide transcriptome analysis on the developing rosette at 21 DAS, when it contains leaves in all stages of their development.

ORGANISM(S): Arabidopsis thaliana

PROVIDER: GSE222529 | GEO | 2025/12/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Enhanced photorespiratory and TCA pathways by elevated CO2 to manage ammonium nutrition in tomato leaves

Project description:This work aims to study wether the increment of the atmospheric carbon dioxide (CO2) concentration, in the context of climate change, will potentially allow plants to better face ammonium nutrition. Tomato (Solanum lycopersicum L.) plants were grown for 4 week with 15 mM of nitrogen, supplied as nitrate or ammonium, in conditions of ambient (aCO2, 400 ppm) or elevated CO2 (eCO2, 800 ppm) atmosphere. Transcription profiling by array was carried out in leavesfor 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 (eCO2 vs aCO2) under nitrate or ammonium nutrition; ii) genes differentially expressed in response to the N source (ammonium vs nitrate) at aCO2 or eCO2. 3 biological replicates for each growth condition were analysed.

2024-11-29 | E-MTAB-14587 | biostudies-arrayexpress

Antagonistic interactive effects of CO2 and nitrogen on microbial community enhance the persistence of soil C storage

Project description:To study long-term elevated CO2 and enriched N deposition interactive effects on microbial community and soil ecoprocess, here we investigated soil microbial community in a grassland ecosystem subjected to ambient CO2 (aCO2, 368 ppm), elevated CO2 (eCO2, 560 ppm), ambient nitrogen deposition (aN) or elevated nitrogen deposition (eN) treatments for a decade. There exist antagonistic CO2×N interactions on microbial functional genes associated with C, N, P S cycling processes. More strong antagonistic CO2×N interactions are observed on C degradation genes than other genes. Remarkably antagonistic CO2×N interactions on soil microbial communities could enhance soil C accumulation.

2018-05-01 | GSE98512 | GEO

miRNA profiling of rice developing leaves in response to elevated CO2

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.

2022-04-06 | GSE186906 | GEO

Grassland ecosystem responses to elevated CO2 are contingent on nitrogen conditions

Project description:To study whether and how soil nitrogen conditions affect the ecological effects of long-term elevated CO2 on microbial community and soil ecoprocess, here we investigated soil microbial community in a grassland ecosystem subjected to ambient CO2 (aCO2, 368 ppm), elevated CO2 (eCO2, 560 ppm), ambient nitrogen deposition (aN) or elevated nitrogen deposition (eN) treatments for a decade. Under the aN condition, a majority of microbial function genes, as measured by GeoChip 4.0, were increased in relative abundance or remained unchanged by eCO2. Under the eN condition, most of functional genes associated with carbon, nitrogen and sulfur cycling, energy processes, organic remediation and stress responses were decreased or remained unchanged by eCO2, while genes associated with antibiotics and metal resistance were increased. The eCO2 effects on fungi and archaea were largely similar under both nitrogen conditions, but differed substantially for bacteria. Coupling of microbial carbon or nitrogen cycling genes, represented by positive percentage and density of gene interaction in association networks, was higher under the aN condition. In accordance, changes of soil CO2 flux, net N mineralization, ammonification and nitrification was higher under the aN condition. Collectively, these results demonstrated that eCO2 effects are contingent on nitrogen conditions, underscoring the difficulty toward predictive modeling of soil ecosystem and ecoprocesses under future climate scenarios and necessitating more detailed studies.

2015-04-03 | GSE67531 | GEO

Grassland ecosystem responses to elevated CO2 are contingent on nitrogen conditions

2015-04-03 | E-GEOD-67531 | biostudies-arrayexpress

Gene expression profiling of rice developing leaves in response to elevated CO2

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).

2020-10-10 | GSE121054 | GEO

Gene expression profiling of rice mature leaves in response to elevated CO2

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).

2020-10-10 | GSE121012 | GEO

Elevated CO2 and virus infection impacts wheat and aphid metabolism

Project description:INTRODUCTION: The aphid Rhopalosiphum padi L. is a vector of Barley yellow dwarf virus (BYDV) in wheat and other economically important cereal crops. Increased atmospheric CO2 has been shown to alter plant growth and metabolism, enhancing BYDV disease in wheat. However, the biochemical influences on aphid metabolism are not known.OBJECTIVES: This work aims to determine whether altered host-plant quality, influenced by virus infection and elevated CO2, impacts aphid weight and metabolism.METHODS: Untargeted 1H NMR metabolomics coupled with multivariate statistics were employed to profile the metabolism of R. padi reared on virus-infected and non-infected (sham-inoculated) wheat grown under ambient CO2 (aCO2, 400 µmol mol−1) and future, predicted elevated CO2 (eCO2, 650 µmol mol−1) concentrations. Un-colonised wheat was also profiled to observe changes to host-plant quality (i.e., amino acids and sugars).RESULTS: The direct impacts of virus or eCO2 were compared. Virus presence increased aphid weight under aCO2 but decreased weight under eCO2; whilst eCO2 increased non-viruliferous (sham) aphid weight but decreased viruliferous aphid weight. Discriminatory metabolites due to eCO2 were succinate and sucrose (in sham wheat), glucose, choline and betaine (in infected wheat), and threonine, lactate, alanine, GABA, glutamine, glutamate and asparagine (in aphids), irrespective of virus presence. Discriminatory metabolites due to virus presence were alanine, GABA, succinate and betaine (in wheat) and threonine and lactate (in aphids), irrespective of CO2 treatment.CONCLUSION: This study confirms that virus and eCO2 alter host-plant quality, and these differences are reflected by aphid weight and metabolism.

2019-01-16 | MTBLS622 | MetaboLights

Developmental stage specificity of transcriptional, biochemical and CO2 efflux responses of leaf dark respiration to growth of Arabidopsis thaliana at elevated [CO2]

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.

2014-04-04 | E-GEOD-56480 | biostudies-arrayexpress

Transcriptional reprogramming and stimulation of leaf respiration by elevated CO2 concentration is diminished, but not eliminated, under limiting nitrogen supply.

Project description:Transcriptional reprogramming and stimulation of leaf respiration by elevated CO2 concentration is diminished, but not eliminated, under limiting nitrogen supply. Arabidopsis plants were grown in either ambient (370 ppm) or elevated (750 ppm) CO2 with either ample N supply or limiting N supply. Leaf tissue was harvested from youngest most fully expanded leaves 35 days after plant germination at either midday or midnight.

2013-10-15 | E-GEOD-50966 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data