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Series GSE46678 Query DataSets for GSE46678
Status Public on May 07, 2015
Title Transcriptome analysis of cucumber response to nitrogen deficiency
Organism Cucumis sativus
Experiment type Expression profiling by high throughput sequencing
Summary 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.
 
Overall design cucumber leaf and root mRNA of 28-day after sowing nitrogen deficiency and sufficiency deep sequencing, using Illumina HiSeq 2000
 
Contributor(s) Qin Z
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Submission date May 06, 2013
Last update date May 15, 2019
Contact name Dong Chen
E-mail(s) dongchen77@outlook.com
Organization name Nissi Biotech
Street address 888 Gaoxin Avenue
City Wuhan
State/province Hubei
ZIP/Postal code 430074
Country China
 
Platforms (1)
GPL16310 Illumina HiSeq 2000 (Cucumis sativus)
Samples (4)
GSM1133798 root CK
GSM1133799 root LN
GSM1133800 leaf CK
Relations
BioProject PRJNA201489
SRA SRP022138

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE46678_RPKM.txt.gz 377.8 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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