Skip to main content
Article thumbnail
Location of Repository

High-resolution temporal profiling of transcripts during Arabidopsis leaf senescence reveals a distinct chronology of processes and regulation

By Emily Breeze, Elizabeth Harrison, Stuart McHattie, Linda Karen Hughes, Richard J. Hickman, Claire Hill, Steven J. Kiddle, Youn-sung Kim, Christopher A. Penfold, Dafyd J. Jenkins, Cunjin Zhang, Karl Morris, Carol E. Jenner, Stephen D. Jackson, Brian Thomas, Alex Tabrett, Roxane Legaie, Jonathan D. Moore, David L. Wild, Sascha Ott, D. A. Rand, Jim Beynon, Katherine J. Denby, A. Mead and Vicky Buchanan-Wollaston


Leaf senescence is an essential developmental process that impacts dramatically on crop yields and involves altered\ud regulation of thousands of genes and many metabolic and signaling pathways, resulting in major changes in the leaf. The\ud regulation of senescence is complex, and although senescence regulatory genes have been characterized, there is little\ud information on how these function in the global control of the process. We used microarray analysis to obtain a highresolution\ud time-course profile of gene expression during development of a single leaf over a 3-week period to senescence.\ud A complex experimental design approach and a combination of methods were used to extract high-quality replicated data\ud and to identify differentially expressed genes. The multiple time points enable the use of highly informative clustering to\ud reveal distinct time points at which signaling and metabolic pathways change. Analysis of motif enrichment, as well\ud as comparison of transcription factor (TF) families showing altered expression over the time course, identify clear groups\ud of TFs active at different stages of leaf development and senescence. These data enable connection of metabolic\ud processes, signaling pathways, and specific TF activity, which will underpin the development of network models to\ud elucidate the process of senescence

Topics: QK
Publisher: American Society of Plant Biologists
Year: 2011
OAI identifier:

Suggested articles

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.