Ontology highlight
ABSTRACT:
PROVIDER: PRJNA431473 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6509771_1.fastq.gz | Fastqsanger.gz | |||
| SRR6509771_2.fastq.gz | Fastqsanger.gz | |||
| SRR6509772_1.fastq.gz | Fastqsanger.gz | |||
| SRR6509772_2.fastq.gz | Fastqsanger.gz | |||
| SRR6509773_1.fastq.gz | Fastqsanger.gz |
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Project description:We used a digital gene expression (DGE) system to generate partial gene expression profiles for 12 selected samples. Significant differences in gene expression between early- and late-flowering samples were detected for 72 candidate genes for flowering time. Genes related to circadian rhythms were significantly overrepresented among the differentially expressed genes. Our data suggest that circadian clock genes play an important role in the evolution of flowering time, and C. bursa-pastoris plants exhibit expression differences for candidate genes likely to affect flowering time across the broad range of environments they face in China.
2012-03-13 | GSE28624 | GEO
Project description:Purpose: found out the regulated genes of nulliplex-branch and its forming molecular mechanism Methods: shoot apical mRNA and miRNA in two nulliplex branch and two normal branch cotton of three development stages were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000. Results: we found 3 825 and 353 specific stage differnent expressed genes in pre-budding stage of island cotton and upland cotton, respectively. In miRNA, we found 16 and 18 specific stage differnent expressed miRNA in pre-budding stageof island cotton and upland cotton, respectively. Conclusions: Our study represents the genes and miRNA control development of lateral branch and regulate flowering time at same times.
2016-03-17 | GSE69025 | GEO
Project description:Purpose: Identification and characterization of thermotolerance candidate genes during early seedling stage by comparative transcriptome analysis. We performed transcriptome sequencing (mRNA-seq) of cotton leaves under high temprature stress using Illumina sequencing technology. And quantitative reverse transcription polymerase chain reaction (qRTâPCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: A comparative transcriptomics approach was used to monitor gene differential expression at two time points (4 and 8 h) in leaves of the two cotton genotypes under high temprature conditions. Results: During a 8-h salt exposure,among 9,777 differentially expressed unigenes (DEUs) were identified during at least one time point, 7,296 DEUs representing different classes of protein kinases, transcription factors, and heat shock proteins as well as downstream thermotolerance-related genes are reported. Gene ontology enrichment and biochemical pathway analyses showed these DEUs were mainly related to carbohydrate metabolism, secondary metabolites, and plant hormone signalling. Conclusions: Our findings offer high efficiency technique for early charactering thermotolerance in cotton and provide the information for the candidate genes to improve thermotolerance of cotton cultivars. Leaf mRNA profiles of 20-day-old seedlings of two cotton genotypes, one heat tolerant and the other heat sensitive during a 8-h high-temperature exposure were generated by deep sequencing, using Illumina HiSeq 2000 system.
2016-06-30 | E-GEOD-70205 | biostudies-arrayexpress
Project description:We used a digital gene expression (DGE) system to generate partial gene expression profiles for 12 selected samples. Significant differences in gene expression between early- and late-flowering samples were detected for 72 candidate genes for flowering time. Genes related to circadian rhythms were significantly overrepresented among the differentially expressed genes. Our data suggest that circadian clock genes play an important role in the evolution of flowering time, and C. bursa-pastoris plants exhibit expression differences for candidate genes likely to affect flowering time across the broad range of environments they face in China. Digital gene expression analysis was performed on RNA from 12 different flowering samples of C. bursa-pastoris. These samples are from different areas, 6 of which represent early-flowering ecotypes, and the other 6 samples represent late-flowering samples
2012-03-13 | E-GEOD-28624 | biostudies-arrayexpress
Project description:Purpose: found out the regulated genes of nulliplex-branch and its forming molecular mechanism Methods: shoot apical mRNA and miRNA in two nulliplex branch and two normal branch cotton of three development stages were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000. Results: we found 3 825 and 353 specific stage differnent expressed genes in pre-budding stage of island cotton and upland cotton, respectively. In miRNA, we found 16 and 18 specific stage differnent expressed miRNA in pre-budding stageof island cotton and upland cotton, respectively. Conclusions: Our study represents the genes and miRNA control development of lateral branch and regulate flowering time at same times. Shoot apical mRNA and miRNA of normal branch cotton and nulliplex branch botton were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000.
2016-03-17 | E-GEOD-69025 | biostudies-arrayexpress
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
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.
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