Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome of soybean reproductive tissues from plants subjected to water deficit, heat stress and a combination of water deficit and heat stress.

ABSTRACT: 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.

ORGANISM(S): Glycine max

PROVIDER: GSE218146 | GEO | 2022/12/04

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptome of soybean reproductive tissues from plants subjected to water deficit, heat stress and a combination of water deficit and heat stress.

Project description:Transcriptome of soybean reproductive tissues from plants subjected to water deficit, heat stress and a combination of water deficit and heat stress.

| PRJNA902404 | ENA

Daytime soybean transcriptome fluctuations during water deficit stress

Project description:By sequencing 36 cDNA libraries with Illumina technology, we identified genes differentially expressed in soybean plants in response to water deficit and genes that were either up- or down-regulated in different periods of the day. Of 54,175 predicted soybean genes (Glyma v1.1), 35.52% exhibited expression oscillations in a 24 h period. This number increased to 39.23% when plants were submitted to water deficit. Major differences in gene expression were observed in the control plants from late day (ZT16) until predawn (ZT20) periods, indicating that gene expression oscillates during the course of 24 h in normal development. Under water deficit, dissimilarity increased in all time-periods, indicating that the applied stress influenced gene expression. Results suggest that time of day, as well as light and temperature oscillations that occur considerably affect the regulation of water deficit stress response in soybean plants.

2015-07-07 | GSE69469 | GEO

Daytime soybean transcriptome fluctuations during water deficit stress

2015-07-07 | E-GEOD-69469 | biostudies-arrayexpress

Integrated Analysis of Small RNA, Transcriptome, and Degradome Sequencing Reveals the Water-Deficit and Heat Stress Response Network in Durum Wheat

Project description:Water-deficit and heat stress negatively impact crop production. Mechanisms underlying the response of durum wheat to such stresses are not well understood. With the new durum wheat genome assembly, we conducted the first multi-omics analysis with next-generation sequencing, providing a comprehensive description of the durum wheat small RNAome (sRNAome), mRNA transcriptome, and degradome. Single and combined water-deficit and heat stress were applied to stress-tolerant and -sensitive Australian genotypes to study their response at multiple time-points during reproduction. Analysis of 120 sRNA libraries identified 523 microRNAs (miRNAs), of which 55 were novel. Differentially expressed miRNAs (DEMs) were identified that had significantly altered expression subject to stress type, genotype, and time-point. Transcriptome sequencing identified 49,436 genes, with differentially expressed genes (DEGs) linked to processes associated with hormone homeostasis, photosynthesis, and signaling. With the first durum wheat degradome report, over 100,000 transcript target sites were characterized, and new miRNA-mRNA regulatory pairs were discovered. Integrated omics analysis identified key miRNA-mRNA modules (particularly, novel pairs of miRNAs and transcription factors) with antagonistic regulatory patterns subject to different stresses. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis revealed significant roles in plant growth and stress adaptation. Our research provides novel and fundamental knowledge, at the whole-genome level, for transcriptional and post-transcriptional stress regulation in durum wheat.

2020-08-20 | GSE152973 | GEO

Transgenerational effects of water-deficit and heat stress on germination and seedling vigour – new insights from durum wheat microRNAs

Project description:Water deficiency and heat stress can severely limit crop production and quality. Stress imposed on the parents during reproduction could have transgenerational effects on their progeny. Seeds with different origins can vary significantly in germination time-course and early growth. Here, we investigated how water-deficit and heat stress on parental durum wheat plants affected seedling establishment of the subsequent generation. One stress-tolerant and one stress-sensitive Australian durum genotype were used. Seeds were collected from parents with or without exposure to stress during reproduction. Generally stress on the previous generation negatively affected seed germination and seedling vigour, but to a lesser extent in the tolerant variety. Small RNA sequencing utilising the new durum genome assembly has revealed significant differences in microRNA (miRNA) expression in the two genotypes. A bioinformatics approach was used to identify multiple miRNA targets which have critical molecular functions in stress adaptation and plant development and could therefore contribute to the phenotypic differences observed. Our data provides the first confirmation of the transgenerational effects of reproductive-stage stress on germination and seedling establishment in durum wheat. New insights gained on the epigenetic level indicate that durum miRNAs could be key factors in optimising seed vigour for superior breeding germplasm and/or varieties.

2020-02-04 | GSE143454 | GEO

Differential gene expression analysis of maize leaf at heading stage in response to water-deficit stress

Project description:Periods of soil water deficit could occur at any time during the crop season, but maize is particularly sensitive to water stress around flowering time. At this time the stress usually causes remarkable yield loss. Heading time, which is just before tassel flowering, is one of the most important stages that maize productivity would be affected severely if plants encounter water stress. The whole-genomic gene expression changes of maize plants in response to water deficit stress at this stage have not been studied. The present work utilized an Arizona Maize Oligonucleotide Array Version 1.9，which was consisted of A and B slides carrying with a total of 57,452 maize 70-mer oligonucleotides, was used to monitor gene expression profile changes in maize leaves subjected to 1 day and 7 days water-deficit stress respectively at the heading stage. Keywords: stress response

2008-02-25 | GSE10596 | GEO

Changes in the maize (B73) 1-cm primary root growth zone transcriptome induced by mild (-0.03 MPa) or severe water-deficit stress (-1.6 MPa)

Project description:Transcriptome sequencing (RNA-seq) was used to profile genome-wide transcript abundance in the primary root growth zone (PRGZ) of maize seedlings grown in different water deficit treatments: well-watered (-0.02 MPa), mild water deficit stress (-0.3 MPa), or severe water deficit stress (-1.6 MPa). For each water deficit treatment, the PRGZ transcriptome was profiled at 26 hours after initiation of the water deficit treatment. By comparing the abundance of each transcript under mild or severe water deficit stress relative to its abundance under well-watered conditions, we identified transcripts that are differentially regulated in the PRGZ in response to the two levels of water deficit stress.

2019-04-30 | GSE128896 | GEO

Transcriptomics of water-deficit Stress Responses in TAM Wheat Cultivars

Project description:Water deficit stress between the booting and grain filling stages significantly affect grain yield and quality of hard red winter wheat. Several stress tolerant cultivars with different adaptation mechanisms have been released and are widely cultivated on the Southern Great Plains of the US. However, the physiological, molecular, and genetic basis of adaptation to drought stress for these cultivars remains unknown. Use of transcriptome profiling to identify drought responsive genes in hexaploid wheat is a challenging process given the quantitative nature of drought stress, genome complexity, and the intricacy of interaction effects. If the information generated from functional genomics studies is to be used in molecular breeding programs for cultivar development, it is highly desirable to use cultivars better adapted for the region. In the current study we used two well-adapted, drought-tolerant, high-yielding, cultivated varieties, TAM 111 and TAM 112, which appear to have different adaptation mechanisms, to identify drought stress induced transcripts during heading and early dough stages. A set of 24 Affymetrix GeneChip wheat genome arrays (2 cultivars; 2 water treatments; 2 sampling stages; 3 biological replicates) from plants subjected to water deficit stress under controlled glasshouse conditions. Differentially expressed genes were identified using a ANOVA (p<0.01) controlling false discovery rate (FDR, q<0.01) using Benjamini Hochberg approach.

2022-01-01 | GSE45262 | GEO

Differential regulation of primary root growth during water-deficit stress in cotton

Project description:Cotton seedlings were subjected to water-deficit stress along with control condition for 24 hours or 48 hours and tissues emcompassing the elongation zone of primary roots were analysed for differential accumulated transcripts compared to control.

2023-03-01 | GSE221295 | GEO

Differential regulation of primary root growth during water-deficit stress in maize

Project description:Maize seedlings were subjected to water-deficit stress along with control condition for 24 hours or 48 hours and tissues emcompassing the elongation zone of primary roots were analysed for differential accumulated transcripts compared to control.

2023-03-01 | GSE221294 | GEO

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