De Novo Genome Assembly of Guinea Grass Exposed to Elevated CO2 and Temperature
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ABSTRACT:
PROVIDER: PRJNA504004 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8164910_1.fastq.gz | Fastqsanger.gz | |||
| SRR8164910_2.fastq.gz | Fastqsanger.gz | |||
| SRR8164920_1.fastq.gz | Fastqsanger.gz | |||
| SRR8164920_2.fastq.gz | Fastqsanger.gz | |||
| SRR8164930_1.fastq.gz | Fastqsanger.gz |
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Project description:Introduction : By mid-century, global atmospheric carbon dioxide concentration ([CO2]) is predicted to reach 600 umol mol-1 with global temperatures rising by 2ºC. Rising [CO2] and temperature will alter the growth and productivity of major food and forage crops across the globe. Although the impact is expected to be greatest in tropical regions, the impact of climate-change has been poorly studied in those regions. Objectives : This experiment aimed to understand the effects of elevated [CO2] (600 umol mol-1) and warming (+ 2°C), singly and in combination, on Panicum maximum Jacq. (Guinea grass) metabolite and transcript profiles. Methods: We created a de novo assembly of the Panicum maximum transcriptome. Leaf samples were taken at two time points in the Guinea grass growing season to analyze transcriptional and metabolite profiles in plants grown at ambient and elevated [CO2] and temperature, and statistical analyses were used to integrate the data. Results: The MiSeq library was quantified by qPCR and sequenced on one MiSeq flowcell for 301 cycles using paired-end sequencing. HiSeq paired-end sequencing was done with four quantified libraries per treatment which were pooled in equimolar concentration, and sequenced on two lanes for 161 cycles. The final read lengths for MiSeq and HiSeq were 300 nt and 160 nt in length. A total of 635,649,277 reads were assembled from the MiSeq/HiSeq pools. Quality control for reads generated from sequencing was performed using FastQC. Quality reads were used to perform de novo transcriptome assembly using Trinity. The initial assembly consisted of 187,216 genes. A filter was applied to keep only those genes that had at least 10 reads (across the 4 replicates) for an individual treatment. The resulting transcriptome contained 45,073 genes and reads. Functional annotation of the genes was done by using BLAST against Arabidopsis thaliana, Zea mays, and Setaria italica.
2018-11-07 | GSE122194 | GEO
Project description:Treatment comparison of Guinea grass planted at University of Sao Paulo Brazil 4 Ambient temp and CO2 plots, 4 elevated CO2 (600 ppm) plots, 4 elevated Temp plots (+2C),4 elevated CO2 and Temp plots. Untargeted metabolomics(GC-MS),de novo transcriptomics, and RNAseq taken at 30(A)(2014-05-22) and 50(B)(2014-07-14)days post treatment exposure. Dried leaf material sent to Uni Illinois-UC. GC-MS protocol followed as stated in Ulanov et al. (2010) J of Plant Phys.
2018-10-09 | ST001071 | MetabolomicsWorkbench
Project description:The effects of elevated CO2 (hypercapnia) on organisms are not well known, nor are the molecular pathways by which organisms sense CO2. We have performed microarray analysis on Drosophila in order to develop a genetic model for better understanding the effects of CO2.
2009-09-30 | GSE17444 | GEO
Project description:INTRODUCTION:By mid-century, global atmospheric carbon dioxide concentration ([CO2]) is predicted to reach 600 μmol mol-1 with global temperatures rising by 2 °C. Rising [CO2] and temperature will alter the growth and productivity of major food and forage crops across the globe. Although the impact is expected to be greatest in tropical regions, the impact of climate-change has been poorly studied in those regions. OBJECTIVES:This experiment aimed to understand the effects of elevated [CO2] (600 μmol mol-1) and warming (+ 2 °C), singly and in combination, on Panicum maximum Jacq. (Guinea grass) metabolite and transcript profiles. METHODS:We created a de novo assembly of the Panicum maximum transcriptome. Leaf samples were taken at two time points in the Guinea grass growing season to analyze transcriptional and metabolite profiles in plants grown at ambient and elevated [CO2] and temperature, and statistical analyses were used to integrate the data. RESULTS:Elevated temperature altered the content of amino acids and secondary metabolites. The transcriptome of Guinea grass shows a clear time point separations, with the changes in the elevated temperature and [CO2] combination plots. CONCLUSION:Field transcriptomics and metabolomics revealed that elevated temperature and [CO2] result in alterations in transcript and metabolite profiles associated with environmental response, secondary metabolism and stomatal function. These metabolic responses are consistent with greater growth and leaf area production under elevated temperature and [CO2]. These results show that tropical C4 grasslands may have unpredicted responses to global climate change, and that warming during a cool growing season enhances growth and alleviates stress.
| S-EPMC6434026 | biostudies-literature
Project description:The effects of elevated CO2 (hypercapnia) on organisms are not well known, nor are the molecular pathways by which organisms sense CO2. We have performed microarray analysis on Drosophila in order to develop a genetic model for better understanding the effects of CO2. Equal numbers of 5-day old male and female flies (at least 40 total) were exposed to 13% CO2 or air for 24h and RNA extracted. Gene expression changes in CO2 compared with air were analyzed. Experiments were performed in triplicate and the 3 separate microarray experiments are included.
2010-06-25 | E-GEOD-17444 | biostudies-arrayexpress
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.
2014-04-04 | GSE56480 | GEO
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
2006-08-23 | GSE5573 | GEO
Project description:Background: The unprecedented rise in atmospheric CO2 concentration and injudicious fertilization or heterogeneous distribution of Mg in the soil warrant further research to understand the synergistic and holistic mechanisms involved in the plant growth regulation. The objective of this work is to understand responses in plants along with interactive effect of elevated CO2 and Mg levels by comparing data on single stress with that of combined stresses. Results: This study investigated the influence of elevated CO2 (800 μL L−1) on physiological and transcriptomic profiles in Arabidopsis cultured in hydroponic media treated with 1 μM (low), 1000 μM (normal) and 10000 μM (high) Mg2+. Following 7-d treatment, elevated CO2 increased the shoot growth and chlorophyll content under both low and normal Mg supply, whereas root growth was improved exclusively under normal Mg nutrition. Notably, the effect of elevated CO2 on mineral homeostasis in both shoots and roots was less than that of Mg supply. Irrespective of CO2 treatment, high Mg increased leaf number but decreased root growth and absorption of P, K, Ca, Fe and Mn whereas low Mg increased the concentration of P, K, Ca and Fe in leaves. Elevated CO2 decreased the expression of genes related to cadmium response, cell redox homeostasis and lipid localization, but enhanced photosynthesis, signal transduction, protein phosphorylation, NBS-LRR disease resistance proteins and subsequently programmed cell death in low-Mg shoots. By comparison, elevated CO2 enhanced the response of lipid localization (mainly LTP transfer protein/protease inhibitor), endomembrane system, heme binding and cell wall modification in high-Mg roots. Some of these transcriptomic results are substantially in accordance with our physiological and/or biochemical analysis. Conclusions: Contrasting changes were found between roots and shoots with the shoot transcriptome being more severely affected by low Mg while the root transcriptome more affected by high Mg. Elevated CO2 had a greater effect on transcript response in low Mg-fed shoots as well as in high Mg-fed roots. The present findings broaden our current understanding on the interactive effect of elevated CO2 and Mg levels in the Arabidopsis, which may help to design the novel metabolic engineering strategies to cope with Mg deficiency/excess in crops under elevated CO2.
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Project description:Transcriptomic profiling of the diatom Thalassiosira pseudonana at normal and elevated CO2 levels and at normal and elevated light levels. Common reference total RNA (Agilent Quick-Amp Cy3-labeled) was used in all arrays as an internal standard.
2015-11-06 | GSE57737 | GEO
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.
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