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Series GSE116265 Query DataSets for GSE116265
Status Public on Jun 27, 2018
Title Transcriptomic dynamics provides an insight into the mechanism for silicon-mediated alleviation of salt stress in cucumber plants
Organism Cucumis sativus
Experiment type Expression profiling by high throughput sequencing
Summary Salinity seriously reduces the yield and quality of crops. Silicon (Si) has been widely reported to have beneficial effects on plant growth and development under salt stress. However, the mechanism is still poorly understood. In an attempt to identify genes or gene networks that may be orchestrated to improve salt tolerance of cucumber plants, we profiled the RNA-seq transcriptomes of both control and salt-stressed cucumber leaves in the presence or absence of added Si. The comparative transcriptome analysis revealed that Si plays an important role in shaping the transcriptome of cucumber: the expression levels of >1,000 genes (differtially expressed genes, DEGs) were changed in response to Si treatment as compared with the control, and these genes were mainly involved in ion transport, hormone and signal transduction, biosynthesis and metabolic processes, stress and defense responses, and antioxidant activity. Under salt stress, many genes functionally associated with metabolic processes and responses to environmental stimuli were strongly up- or down-regulated in their expressions. Si treatment showed a tendency that induced the transcriptomic profile of salt-stressed cucumber back to that of the control with large majority of Na down-regulated DEGs and about half of Na up-regulated DEGs being adjusted back to CT levels. This study provides a novel insight into the mechanism for Si-mediated alleviation of salt stress in plants at the transcriptome level, and it suggests that Si may act as an elicitor to precondition cucumber plants and induce salt tolerance.
 
Overall design Transcriptome profiles of both control and salt-stressed cucumber leaves in the presence or absence of added Si were generated by deep sequencing, in triplicates, using Illumina HiSeq 2500.
 
Contributor(s) Gong H, Zhu Y
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Submission date Jun 26, 2018
Last update date Jun 28, 2018
Contact name Ruolin Yang
E-mail(s) desert.ruolin@gmail.com
Organization name Northwest A&F University
Street address No.3 Taicheng Road
City Yangling
State/province Shaanxi
ZIP/Postal code 712100
Country China
 
Platforms (1)
GPL20825 Illumina HiSeq 2500 (Cucumis sativus)
Samples (11)
GSM3223379 Control rep1
GSM3223380 Control rep2
GSM3223381 Control rep3
Relations
BioProject PRJNA477930

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE116265_RAW.tar 4.8 Mb (http)(custom) TAR (of XLSX)
Raw data are available in SRA
Processed data provided as supplementary file

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