High-Resolution Temporal Profiling of Transcripts during Arabidopsis Leaf Senescence Reveals a Distinct Chronology of Processes and Regulation

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ID: 303455
2011
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Abstract
Abstract Leaf senescence is an essential developmental process that impacts dramatically on crop yields and involves altered regulation of thousands of genes and many metabolic and signaling pathways, resulting in major changes in the leaf. The regulation of senescence is complex, and although senescence regulatory genes have been characterized, there is little information on how these function in the global control of the process. We used microarray analysis to obtain a high-resolution time-course profile of gene expression during development of a single leaf over a 3-week period to senescence. A complex experimental design approach and a combination of methods were used to extract high-quality replicated data and to identify differentially expressed genes. The multiple time points enable the use of highly informative clustering to reveal distinct time points at which signaling and metabolic pathways change. Analysis of motif enrichment, as well as comparison of transcription factor (TF) families showing altered expression over the time course, identify clear groups of TFs active at different stages of leaf development and senescence. These data enable connection of metabolic processes, signaling pathways, and specific TF activity, which will underpin the development of network models to elucidate the process of senescence.
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Authors Emily Breeze, Elizabeth Harrison, Stuart McHattie, Linda Hughes, Richard Hickman, Claire Hill, Steven J. Kiddle, Youn-sung Kim, Christopher A. Penfold, D.R. Jenkins, Cunjin Zhang, Karl Morris, Carol E. Jenner, Stephen Jackson, Brian Thomas, Alexandra Tabrett, Roxane Legaie, Jonathan D. Moore, David L. Wild, Sascha Ott, D.A.J. Rand, Jim Beynon, Katherine Denby, Andrew Mead, Vicky Buchanan‐Wollaston
Journal The Plant cell
Year 2011
DOI
10.1105/tpc.111.083345
URL
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