4.3 Article

Analysis of differentially expressed genes in response to endogenous cytokinins during cotton leaf senescence

Journal

BIOLOGIA PLANTARUM
Volume 57, Issue 3, Pages 425-432

Publisher

SPRINGER
DOI: 10.1007/s10535-013-0324-2

Keywords

Gossypium hirsutum; metabolic pathways; Solexa sequencing; TIGR database; transgenic plants

Categories

Funding

  1. China Major Projects for Transgenic Breeding [2011ZX005-004, 2011ZX08005-002]
  2. China Key Development Project for Basic Research (973) [2010CB12600]

Ask authors/readers for more resources

Cytokinins have been implicated in delaying leaf senescence. We previously generated transgenic cotton (Gossypium hirsutum L.) plants that harbor the Agrobacterium isopentenyl transferase gene (ipt) directed by a proteinase gene promoter. Here, we report that mRNAs were isolated from ipt cotton leaves and azygous leaves and were subsequently sequenced using Illumina Solexa technology. The sequence tags were searched against the TIGR database and the related gene expression profiles were compared resulting in the identification of 1 218 differentially expressed genes (DEGs): 719 up-regulated and 499 down-regulated. Analyzing the DEGs in the ipt cotton leaves showed that these genes belonged to four pathways: flavone biosynthesis, arginine and proline metabolism, glyoxylate and dicarboxylate metabolism, and RNA degradation. These pathways increased the activities of antioxidants, inhibited the effect of ethylene, and prevented degradation of macromolecules during senescence. The expression patterns of 17 genes were evaluated by real-time PCR and results were in agreement with the patterns of sequencing analysis. The identification of the DEGs may help us to understand a role of cytokinins in leaf senescence.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available