Gossypium hirsutum
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA286224 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2057672.fastq.gz | Fastqsanger.gz | |||
| SRR2057673.fastq.gz | Fastqsanger.gz | |||
| SRR2057674.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Transcriptome analysis in cotton under drought stress. To study the molecular response of drought stress in cotton under field condition global gene expression analysis was carried out in leaf tissue. Gossypium hirsutum cv. Bikaneri Nerma was used for the gene expression analysis. Cotton plants were subjected to drought stress at peak flowering stage. Leaf samples were collected when the soil moisture content was 19.5% which is 50% of the normal control plots. Gene expression profiles in drought induced and their respective control samples were analyzed using Affymertix cotton Genechip Genome arrays to study the global changes in the expression of genome.
2012-06-04 | GSE29566 | GEO
Project description:Transcriptome analysis in cotton during fibre development stages. To study the molecular response of drought stress in cotton under field condition global gene expression analysis was carried out at fibre development stages (0, 5, 10 and 20 dpa/Days post anthesis). Gossypium hirsutum cv. Bikaneri Nerma was used for the gene expression analysis. Cotton plants were subjected to drought stress at peak flowering stage. Samples were collected when the soil moisture content was 19.5% which is 50% of the normal control plots. Gene expression profiles in drought induced and their respective control samples were analyzed using Affymertix cotton Genechip Genome arrays to study the global changes in the expression of genome.
2012-06-04 | GSE29567 | GEO
Project description:Abiotic stress is a major environmental factor that limits cotton growth and yield, moreover, this problem has become more and more serious recently and multiple stresses often occur simultaneously due to the global climate change and environmental pollution. We used microarrays to analyze the crosstalk of responsive genes to multiple abiotic stresses including ABA, cold, drought, salinity and alkalinity in cotton. Cotton seedlings with different abiotic stress treatment were selected at 14-day after germination for RNA extraction and hybridization on Affymetrix microarrays. We sought to identify genes involved in diverse stresses including abscisic acid (A), cold (C), drought (M), salinity (N) and alkalinity (P) by comparative microarray analysis (3 biological replicates for each abiotic stress treatment).
2013-09-12 | E-GEOD-50770 | biostudies-arrayexpress
Project description:Transcriptome analysis in cotton under drought stress. To study the molecular response of drought stress in cotton under field condition global gene expression analysis was carried out in leaf tissue. Gossypium hirsutum cv. Bikaneri Nerma was used for the gene expression analysis. Cotton plants were subjected to drought stress at peak flowering stage. Leaf samples were collected when the soil moisture content was 19.5% which is 50% of the normal control plots. Gene expression profiles in drought induced and their respective control samples were analyzed using Affymertix cotton Genechip Genome arrays to study the global changes in the expression of genome. Total RNA was isolated from leaf tissue. Samples were collected from both drought induced and control plants. Biotin labeled cRNA was hybridized on Affymertix cotton Genechip Genome array following the Affymetrix protocols. Three biological replicates were maintained.
2012-06-03 | E-GEOD-29566 | biostudies-arrayexpress
Project description:Profile of small interfering RNAs from cotton plants infected with the polerovirus Cotton leafroll dwarf virus
| PRJNA146215 | ENA
Project description:Purpose:Identification of genes and miRNAs responsible for salt tolerance in upland cotton (Gossypium hirsutum L.) would help reveal the molecular mechanisms of salt tolerance. We performed physiological experiments and transcriptome sequencing (mRNA-seq and small RNA-seq) of cotton leaves under salt stress using Illumina sequencing technology. And quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods:We investigated two distinct salt stress phases—dehydration (4 h) and ionic stress (osmotic restoration; 24 h)—that were identified by physiological changes of 14-day-old seedlings of two cotton genotypes, one salt tolerant and the other salt sensitive, during a 72-h NaCl exposure. A comparative transcriptomics approach was used to monitor gene and miRNA differential expression at two time points (4 and 24 h) in leaves of the two cotton genotypes under salinity conditions. Results:During a 24-h salt exposure, 819 transcription factor unigenes were differentially expressed in both genotypes, with 129 unigenes specifically expressed in the salt-tolerant genotype. Under salt stress, 108 conserved miRNAs from known families were differentially expressed at two time points in the salt-tolerant genotype. Conclusions:Our comprehensive transcriptome analysis has provided new insights into salt-stress response of upland cotton. The results should contribute to the development of genetically modified cotton with salt tolerance.
2017-06-18 | GSE58655 | GEO
Project description:Small Interfering RNAs from Bidirectional Transcripts of GhMML3_A12 Regulate Cotton Fiber Development
| PRJNA293171 | ENA
Project description:Transcriptome analysis in cotton during fibre development stages. To study the molecular response of drought stress in cotton under field condition global gene expression analysis was carried out at fibre development stages (0, 5, 10 and 20 dpa/Days post anthesis). Gossypium hirsutum cv. Bikaneri Nerma was used for the gene expression analysis. Cotton plants were subjected to drought stress at peak flowering stage. Samples were collected when the soil moisture content was 19.5% which is 50% of the normal control plots. Gene expression profiles in drought induced and their respective control samples were analyzed using Affymertix cotton Genechip Genome arrays to study the global changes in the expression of genome. Total RNA was isolated from 0 dpa, 5 dpa, fibre bearing ovules of 10 dpa, and fibre bearing ovules of 20 dpa. Samples were collected from both drought induced and control plants. Biotin labeled cRNA was hybridized on Affymertix cotton Genechip Genome array following the Affymetrix protocols. Three biological replicates were maintained.
2012-06-03 | E-GEOD-29567 | biostudies-arrayexpress
Project description:RNA-Seq timeseries of cotton, salt treated
| PRJNA439356 | ENA
Project description:High temperature (HT) stress is a major environmental stress that limits cotton growth, metabolism, and yield worldwide. The identification and characterization of thermotolerance is restricted by the plant growth environment and growth stage. In this study, four genotypes of upland cotton (Gossypium hirsutum L.) with known field thermotolerance were evaluated under normal and HTs at the seedlings stage in a growth cabinet with 11 physiological, biochemical, and phenotypic assays. Consistent with previous field observations, the thermotolerance could be identified by genotype differences at the seedling stage under HT in a growth cabinet. Comparative transcriptome analysis was performed on seedlings of two contrasting cotton genotypes after 4 and 8 hours of HT exposure. Gene ontology analysis combined with BLAST annotations revealed a large number of HT-induced differentially expressed genes (4,698) that either exhibited higher expression levels in the heat-tolerant genotype (Nan Dan Ba Di Da Hua) compared with the heat-sensitive genotype (Earlistaple 7), or were differentially expressed only in Nan Dan Ba Di Da Hua. These genes encoded mainly protein kinases, transcription factors, and heat shock proteins, which were considered to play key roles in thermotolerance in upland cotton. Two heat shock transcription factor genes (homologs of AtHsfA3, AtHsfC1) and AP2/EREBP family genes (homologs of AtERF20, AtERF026, AtERF053, and AtERF113) were identified as possible key regulators of thermotolerance in cotton. Some of the differentially expressed genes were validated by quantitative real-time PCR analysis. Our findings provide candidate genes that could be used to improve thermotolerance in cotton cultivars.
2016-06-30 | GSE70205 | GEO