Combination of drought and heat in soybean plants
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA644602 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12164947.fastq.gz | Fastqsanger.gz | |||
| SRR12164948.fastq.gz | Fastqsanger.gz | |||
| SRR12164949.fastq.gz | Fastqsanger.gz | |||
| SRR12164950.fastq.gz | Fastqsanger.gz | |||
| SRR12164951.fastq.gz | Fastqsanger.gz |
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Project description:Transcriptomic response of soybean plants subjected to drought, heat and their combination
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Project description:Soybean plants were subjected to water deficit, heat stress, and combination of water deficit and heat stress. Flower parts, sepal, anther, ovary and stigma were collected from 8-10 different plants at R1 stage growing under three above mentioned stress conditions, and under control conditions 10 days after initiation of the stresses. Differential gene expression compared to control was studied using RNAseq method.
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Project description:MicroRNAs (miRNAs) are part of gene regulatory networks that direct all most all biological processes in plants including their growth and development, as well as adaptation to biotic and abiotic stresses. Sorghum is largely grown for its grain production, but recently it also emerged a major feedstock for biofuel production. Interestingly, Sorghum is relatively drought tolerant crop and largely grown in semi-arid tropical and sub-tropical regions where the drought or high temperature or their combination co-occur in the field. Although miRNA profiles have been reported in Sorghum leaves exposed to drought, but thus far miRNAs in heat- or drought and heat-exposed conditions have not been reported. In this study, we report miRNA profiles in Sorghum leaves exposed to drought or heat or their combination. The bioinformatic analysis of small RNA libraries revealed the expression of approximately 30 conserved miRNA families represented by 81 individual miRNAs as well as 11 novel miRNA families in Sorghum leaves. Of these, 26 miRNAs were found to be differentially regulated in response to one or more of the stress treatments. Overall, the number of miRNAs regulated by heat was more than the drought. Furthermore, miRNA profiles revealed more similarities between heat and the combination of drought and heat stresses. We also have analyzed degradome profiles in control and drought-exposed plants to identify potential targets for the miRNAs. This study provides a frame work for better understanding of miRNA-guided gene regulations that vary between individual drought or heat or combination of drought and heat treatments.
2021-12-31 | GSE157523 | GEO
Project description:MicroRNAs (miRNAs) are part of gene regulatory networks that direct all most all biological processes in plants including their growth and development, as well as adaptation to biotic and abiotic stresses. Sorghum is largely grown for its grain production, but recently it also emerged a major feedstock for biofuel production. Interestingly, Sorghum is relatively drought tolerant crop and largely grown in semi-arid tropical and sub-tropical regions where the drought or high temperature or their combination co-occur in the field. Although miRNA profiles have been reported in Sorghum leaves exposed to drought, but thus far miRNAs in heat- or drought and heat-exposed conditions have not been reported. In this study, we report miRNA profiles in Sorghum leaves exposed to drought or heat or their combination. The bioinformatic analysis of small RNA libraries revealed the expression of approximately 30 conserved miRNA families represented by 81 individual miRNAs as well as 11 novel miRNA families in Sorghum leaves. Of these, 26 miRNAs were found to be differentially regulated in response to one or more of the stress treatments. Overall, the number of miRNAs regulated by heat was more than the drought. Furthermore, miRNA profiles revealed more similarities between heat and the combination of drought and heat stresses. We also have analyzed degradome profiles in control and drought-exposed plants to identify potential targets for the miRNAs. This study provides a frame work for better understanding of miRNA-guided gene regulations that vary between individual drought or heat or combination of drought and heat treatments.
2021-12-31 | GSE157521 | GEO
Project description:Soybean plants were subjected to water deficit, heat stress, and combination of water deficit and heat stress along with control condition and pods were analysed for temperature, water potential, transpiration, yield and differential gene expression compared to control.
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Project description:Drought-responsive genes in soybean leaves were successfully identified using Affymetrix Soybean Gene 1.0 ST arrays on leaves samples of reproductive-stage soybean plants. R1 soybean plants planted in pots were imposed drought by withholding water for 5 days until the soil moisture content dropped to 5%, and 3rd trifoliates (now at the R2 stage) were collected for expression profiling.
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Project description:Drought-responsive genes in soybean leaves were successfully obtained using soybean gene 1.0 ST array. Leaf samples from the vegetative stage of soybean plants were used.
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Project description:One of the eminent opportunities afforded by modern genomic technologies is the potential to provide a mechanistic understanding of the processes by which genetic change translates to phenotypic variation and the resultant appearance of distinct physiological traits. Indeed much progress has been made in this area, particularly in biomedicine where functional genomic information can be used to determine the physiological state (e.g., diagnosis) and predict phenotypic outcome (e.g., patient survival). Until now, ecology has lacked an analogous approach where genomic information can be used to diagnose the presence of a given physiological state (e.g., stress response) and then predict likely phenotypic outcomes (e.g., stress tolerance, fitness). We demonstrate that a compendium of genomic signatures can be used to classify the plant abiotic stress phenotype in Arabidopsis according to the architecture of the transcriptome, and then be linked with gene coexpression network analysis to determine the underlying signaling pathways and ultimately the genes governing the phenotypic response. Here, we release microarray data from an expression profiling study where plants were exposed to heat and drought alone, and in combination with each other. A direct loop design with 6 biological replicates for control, heat, drought, and combined heat and drought was performed. A schematic describing the design is provide as supplementary information.
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