Dataset Information

Transcriptome Analysis of Cucumber (Cucumis sativus L.) Leaves Under Chilling Stress

ABSTRACT: 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.

ORGANISM(S): Cucumis sativus

PROVIDER: GSE111998 | GEO | 2018/08/20

REPOSITORIES: GEO

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Project description:Purpose: Cucumber (Cucumis sativus L.) is an economically important vegetable crop worldwide, and cucumber fruit spine density has an important impact on the commercial value. However, little is known about the regulatory mechanism for the fruit spine formation.In this study, the transcriptome analyses of ovaries and pericarps from numerous-spine parent and few-spine parent were conducted to identify the gene regulatory networks involved in the formation and development of numerous fruit spines in cucumber. Methods: Cucumber mRNA profiles of ovaries and pericarps from numerous-spine parent and few-spine parent were generated by deep sequencing, in triplicate, using Illumina HiSeq 4000. Then, clean data (clean reads) were obtained by removing reads containing adapters, reads containing poly-N sequences and low-quality reads from the raw data. Simultaneously, the Q20, Q30 and GC contents of the clean data were calculated. All of the downstream analyses were based on the high-quality clean data. Clean paired-end reads were mapped to the reference genome using TopHat v2.0.12 (Trapnell et al. 2012). Then, the FPKM (fragments per kilobase of transcript sequence per million base pairs sequenced) value of each gene was calculated to estimate gene expression levels (Trapnell et al. 2010). Genes with an adjusted P-value < 0.05 identified by DESeq were assigned as differentially expressed genes(DEGs). Results: We generated 42.96-57.53 million raw reads from each library, and 39.85-54.02 million clean reads were obtained after the removal of low-quality reads and adapter sequences. Among the clean reads, 79.03-80.94% were mapped to the gene database . Based on the KEGG database, pathway enrichment analysis was performed to identify significantly enriched metabolic pathways or signal transduction pathways in DEGs. Plant hormone signal transduction was significantly enriched in up-regulated genes in both F_6DBF compared with M_6DBF and F_0DAA compared with M_0DAA. Conclusions: Based on the transcriptome analysis, we excavated possible biological regulatory networks involved in the formation and development of numerous fruit spines in cucumber. This work will promote the exploration of molecular mechanisms that regulate cucumber fruit spine density.

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Transcriptome Analysis of Cucumber (Cucumis sativus L.) Leaves Under Chilling Stress

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