Ontology highlight
ABSTRACT:
PROVIDER: PRJNA784783 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17072985_1.fastq.gz | Fastqsanger.gz | |||
| SRR17072985_2.fastq.gz | Fastqsanger.gz | |||
| SRR17072986_1.fastq.gz | Fastqsanger.gz | |||
| SRR17072986_2.fastq.gz | Fastqsanger.gz | |||
| SRR17072987_1.fastq.gz | Fastqsanger.gz |
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Project description:The cucumber is one of the most important vegetables worldwide and is used as a research model for study of phloem transport, sex determination and temperature-photoperiod physiology. The shoot apex is the most important plant tissue in which the cell fate and organ meristems have been determined. In this study, a series of whole-genome small RNA, degradome and transcriptome analyses were performed on cucumber shoot apical tissues treated with high vs. low temperature and a long vs. short photoperiod.
2018-07-31 | GSE117867 | GEO
Project description:Purpose: The goals of this study are using RNA-seq to obtain cucumber and Botrytis cinerea transcriptome changes during infection Methods: mRNA profiles of anti-infection samples and interaction sample were generate by deep sequencing,using Illumina Hiseq 2500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: BurrowsâWheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRTâPCR validation was performed using SYBR Green assays Results: Using an optimized data analysis workflow,In total, 248,908,688 raw reads were generated; after removing low-quality reads and those containing adapter and poly-N, 238,341,648 clean reads remained to map the reference genome. There were 3,512 cucumber (differential expression genes) DEGs and 1,735 B. cinerea DEGs. GO enrichment and KEGG enrichment analysis were performed on these DEGs to study the interaction between cucumber and B. cinerea. To verify the reliability and accuracy of our transcriptome data, 5 cucumber DEGs and 5 B. cinerea DEGs were chosen for RT-PCR verification. Conclusions:To the best of our knowledge, this is the first analysis of large-scale transcriptome changes of cucumber during the infection of Botrytis cinerea. These results will increase our understanding of the molecular mechanisms of the cucumber defense Botrytis cinerea and may be used to protect plants against disasters caused by necrotrophic fungal pathogens. mRNA profiles of infection and anti-infection cucumber were generated by deep sequencing, using Illumina Hiseq 2500 .
2016-08-01 | E-GEOD-72191 | biostudies-arrayexpress
Project description:The expression of chloroplast genes of cucumber was influenced by prolonged low temperature treatment. We tried to asses the short term influence (0, 4, 8, 16 hours) of 4 C degree treatment in cucumber plants kept in darkness. As a control we used pooled RNA from all collected samples.
2011-09-10 | E-MEXP-3228 | biostudies-arrayexpress
Project description:Purpose: The goals of this study are using RNA-seq to obtain cucumber and Botrytis cinerea transcriptome changes during infection Methods: mRNA profiles of anti-infection samples and interaction sample were generate by deep sequencing,using Illumina Hiseq 2500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using SYBR Green assays Results: Using an optimized data analysis workflow,In total, 248,908,688 raw reads were generated; after removing low-quality reads and those containing adapter and poly-N, 238,341,648 clean reads remained to map the reference genome. There were 3,512 cucumber (differential expression genes) DEGs and 1,735 B. cinerea DEGs. GO enrichment and KEGG enrichment analysis were performed on these DEGs to study the interaction between cucumber and B. cinerea. To verify the reliability and accuracy of our transcriptome data, 5 cucumber DEGs and 5 B. cinerea DEGs were chosen for RT-PCR verification. Conclusions:To the best of our knowledge, this is the first analysis of large-scale transcriptome changes of cucumber during the infection of Botrytis cinerea. These results will increase our understanding of the molecular mechanisms of the cucumber defense Botrytis cinerea and may be used to protect plants against disasters caused by necrotrophic fungal pathogens.
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Project description:Cucumber (Cucumis sativus L.) is one of the most important fruit vegetable crops and is widely grown worldwide (FAO STAT 2016, http://faostat3.fao.org). Astringency greatly affects the flavor quality of cucumber fruits and can be irritating due to the unpleasant oral sensation it causes. However, there are no available report addressing the molecular mechanisms driving the development of cucumber fruit astringency at the transcriptome level. A few relatively basic research efforts have been carried out in our previous studies. In this study, genome-wide analysis of gene expression in the highly astringent cucumber inbred line ‘YB’ was performed using RNA-seq. The aims of this research were to identify the genes responsible for fruit astringency development and to provide new insights into the mechanism underlying the synthesis of astringent compounds in cucumber fruits.
2018-12-01 | GSE112666 | GEO
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of gene expression profiles of cucumber under short-term chilling stress. The goals of this study are to transcriptome analysis of cucumber leaves under chilling stress. Methods: mRNA profiles of seedlings exposed to an air temperature of 6°C in the absence of light at 0, 2, 6, and 12 h were generated by deep sequencing, in triplicate, using Illumina Hiseq platform. The reference genome and gene model annotation files were downloaded from the genome website （http://cucurbitgenomics.org/）. An index of the reference genome was built using Bowtie v.2.2.3 and paired-end clean reads were aligned to the reference genome using TopHat v.2.0.12. qRT–PCR validation was performed using SYBR Green assays. Results: A total of 55.7 million clean reads was generated. Based on the threshold values of absolute value of log2 ratio ≥ 1 and FDR ≤ 0.05, a total of 2113 DEGs was identified at three time points (2, 6, and 12 h). A total of 30 genes was detected at all time points. The number of DEGs increased with time. In total, 100 TFs from 22 families in three subsets were detected. And 19 kinase families were identified in three subsets. The DEGs identified by RNA sequencing were confirmed by qRT-PCR analysis, indicating that the data were reliable. These findings provide information that can be useful for investigating the molecular mechanisms underlying the response to chilling stress in cucumber and other plants. Conclusions: The results presented here reveal changes in the transcriptome profile of cucumber in response to chilling stress. Exposure to a low temperature induced genes involved in hormone regulation, lipid metabolism, and photosynthesis, including NAC, WRKY, AP2/ERF, ERD, MYB as well as zinc finger TFs and protein kinases such as receptor-like protein kinase, MAPK, and CDK. Most TFs were upregulated whereas CDKs were downregulated. These findings provide information that can be useful for investigating the molecular mechanisms underlying the response to chilling stress in cucumber and other plants.
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Project description:Cucumber (Cucumis sativus L.) fruit is a type of fleshy fruit that is harvested immaturely. Early fruit development directly determines the final fruit length and diameter, and consequently the fruit yield and quality. Different cucumber varieties display huge variations of fruit length, but how fruit length is determined at the molecular level remains poorly understood. To understand the genes and gene networks that regulate fruit length in cucumber, high throughout RNA-seq data were used to compare the transcriptomes of early fruit from two near isogenic lines with different fruit lengths. 3955 genes were found to be differentially expressed, among which 2368 genes were significantly up-regulated and 1587 down-regulated in the line with long fruit. Microtubule and cell cycle related genes were dramatically activated in the long fruit, and transcription factors were implicated in the fruit length regulation in cucumber. Thus, our results built a foundation to dissect the molecular mechanism of fruit length control in cucumber, a key agricultural trait of significant economic importance. Comparative analysis of fruit from two near-isogenic lines, 408 (long fruit) and 409 (short fruit), was employed to discover genes and networks that regulate the fruit length. Two biological replicates were used from each line.
2015-08-11 | E-GEOD-60346 | biostudies-arrayexpress
Project description:Cucumber (Cucumis sativus L.) is an economically important vegetable cultivated all over the world. Grafting can produce bloomless or sparse-bloom cucumber, which is welcomed by increasing consumers. Bloom granule is tine glandular hair, which is hard and rare studied on its formation and related genes. Mutifunctional RNA-seq is a recently developed analytical approach for transcriptome profiling via high-throughput sequencing and has been recently applied to a wide variety of organisms, which provide us reliable technical means detect bloom formation and related genes. In this study, we chose a cucumber inbred line (Shannong No.5) and two pumpkin rootstock lines as materials, and constructed four tested cucumbers, grew plants in “Yamazaki cucumber nutrient solution formula” prepared by deionized water, treated plants with or without 1.7mM potassium silicate 2 hours before collecting pericarp. Each treatment were duplicated twice.16 cDNA libraries were constructed from pericarp of a cucumber inbred line (own-rooted cucumber), C/C (self-grafted cucumber), M/C (More bloom, cucumber grafted onto “3225” rootstock) and L/C(Less bloom, cucumber grafted onto “3212” rootstock). We obtained 17,215,769~17,529,047 high quality reads, and 18,804~19,358 genes from each sample. All reads can be mapped to the cucumber genome (Version 2). By RPKM comparing, we got 38 comparing combinations with differentially expressed genes (DEGs), obtained 38 significantly expressed combinations by FDR≤0.001 and the absolute value of log2Ratio≥1 as the thresholds. These results suggest that there are many differences and genes expression mode among effects of grafting or added silicon. This study addresses a preliminary analysis and offers a foundation for future genomic research in the bloom formation of cucumber.
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Project description:Nitrogen is the most important mineral nutrient of plant. As a worldwide and economically important vegetable, cucumber (Cucumis sativus L.) has a strong nitrogen-dependence. We took whole transcriptome sequencing approach to compare the gene expression profiles of cucumber leaves and roots grown under sufficient or insufficient nitrate supply. Analysis of the transcriptome data revealed that the root and leaf adapt different response mechanisms to long-term nitrogen deficiency. Photosynthesis and carbohydrate biosynthetic process were pronouncedly and specifically reduced in leaf, while the ion transport function, cell wall and phosphorus-deficiency response function seem systematically down-regulated in root. Genes in nitrogen uptake and assimilation are decreased in root, but some are increased in leaf under nitrogen deficiency. Several lines of evidence suggest that the altered gene expression networks support the basic cucumber growth and development likely through successful nitrogen remobilization involving in the induced expression of genes in ABA and ethylene pathways. cucumber leaf and root mRNA of 28-day after sowing nitrogen deficiency and sufficiency deep sequencing, using Illumina HiSeq 2000
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