Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1193281 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR31581220_1.fastq.gz | Fastqsanger.gz | |||
| SRR31581220_2.fastq.gz | Fastqsanger.gz | |||
| SRR31581221_1.fastq.gz | Fastqsanger.gz | |||
| SRR31581221_2.fastq.gz | Fastqsanger.gz | |||
| SRR31581222_1.fastq.gz | Fastqsanger.gz |
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Project description:To gain insight into the functions of salt-regulated miRNAs, target genes were identified through degradome sequencing approach. Three cotton RNA libraries were constructed and sequenced under normal consideration, osmotic and ionic stress. A total of 73,988,644 reads represented by 3,254,054 unique reads from the 5’ ends of uncapped and poly-adenylated RNAs were obtained. The PairFinder software was used to identify the sliced targets for the known miRNAs and novel miRNAs. These sequences were further compared with transcriptome sequencing data of G. arboretum and G. raimondii. We obtained the data from (Cotton Genome Project, http://cgp.genomics.org.cn/page/species/index.jsp).Based on degradome sequencing, 31 target genes were identified for 20 cotton miRNA families. The abundance of transcripts was plotted for each transcript. Conserved miRNAs target conserved homologous genes in diverse plant species.
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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.
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Project description:Three samples of cotton fiber harvested 3, 7 and 15 days post anthesis (DPA) and a sample of cotton ovule harvestd 0 DPA were used for non-coding RNA extraction and seloxa sequencing experiments, respectively.Cotton plants (Gossypium hirsutum cv. Xuzhou 142) were grown in a soil mixture in fully automated walk-in growth rooms with 300 M-BM-5mol mM-bM-^@M-^S2 sM-bM-^@M-^S1 average light intensity, 60% relative humidity and temperatures set to 30C during the light period and 28C during the dark (12-h light/dark cycle). These conditions were consistent throughout the year. Small RNA molecules under 30 bases were amplified and isolated from an agarose gel. The purified DNA was used directly for cluster generation and sequencing analysis using the Illumina Genome Analyzer IIx according to the manufacturer's instructions. The 38nt sequence tags from sequencing went through data cleaning first, which included getting rid of the low-quality tags and clipping adapter sequences. Three samples of cotton fiber harvested 3, 7 and 15 days post anthesis (DPA) and a sample of cotton ovule harvestd 0 DPA were used for non-coding RNA extraction and seloxa sequencing experiments, respectively.
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