TY - JOUR
T1 - High-resolution temporal profiling of transcripts during Arabidopsis leaf senescence reveals a distinct chronology of processes and regulation
AU - Breeze, Emily
AU - Harrison, Elizabeth
AU - McHattie, Stuart
AU - Hughes, Linda
AU - Hickman, Richard
AU - Hill, Claire
AU - Kiddle, Steven
AU - Kim, Youn Sung
AU - Penfold, Christopher A.
AU - Jenkins, Dafyd
AU - Zhang, Cunjin
AU - Morris, Karl
AU - Jenner, Carol
AU - Jackson, Stephen
AU - Thomas, Brian
AU - Tabrett, Alexandra
AU - Legaie, Roxane
AU - Moore, Jonathan D.
AU - Wild, David L.
AU - Ott, Sascha
AU - Rand, David
AU - Beynon, Jim
AU - Denby, Katherine
AU - Mead, Andrew
AU - Buchanan-Wollaston, Vicky
PY - 2011/3
Y1 - 2011/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79955626693&partnerID=8YFLogxK
U2 - 10.1105/tpc.111.083345
DO - 10.1105/tpc.111.083345
M3 - Article
C2 - 21447789
AN - SCOPUS:79955626693
SN - 1040-4651
VL - 23
SP - 873
EP - 894
JO - The Plant Cell
JF - The Plant Cell
IS - 3
ER -