title: High-resolution temporal profiling of transcripts during Arabidopsis leaf senescence reveals a distinct chronology of processes and regulation.
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.
authors: School of Life Sciences, University of Warwick, Wellesbourne, Warwick CV35 9EF, United Kingdom.
authors: Emily
authors: E
authors: Breeze
authors: Elizabeth
authors: E
authors: Harrison
authors: Stuart
authors: S
authors: McHattie
authors: Linda
authors: L
authors: Hughes
authors: Richard
authors: R
authors: Hickman
authors: Claire
authors: C
authors: Hill
authors: Steven
authors: S
authors: Kiddle
authors: Youn-Sung
authors: YS
authors: Kim
authors: Christopher A
authors: CA
authors: Penfold
authors: Dafyd
authors: D
authors: Jenkins
authors: Cunjin
authors: C
authors: Zhang
authors: Karl
authors: K
authors: Morris
authors: Carol
authors: C
authors: Jenner
authors: Stephen
authors: S
authors: Jackson
authors: Brian
authors: B
authors: Thomas
authors: Alexandra
authors: A
authors: Tabrett
authors: Roxane
authors: R
authors: Legaie
authors: Jonathan D
authors: JD
authors: Moore
authors: David L
authors: DL
authors: Wild
authors: Sascha
authors: S
authors: Ott
authors: David
authors: D
authors: Rand
authors: Jim
authors: J
authors: Beynon
authors: Katherine
authors: K
authors: Denby
authors: Andrew
authors: A
authors: Mead
authors: Vicky
authors: V
authors: Buchanan-Wollaston
mesh_terms: D000704:Analysis of Variance; D017360:Arabidopsis / Q000235:genetics* / Q000254:growth & development / Q000378:metabolism; D029681:Arabidopsis Proteins / Q000032:analysis* / Q000235:genetics; D002734:Chlorophyll / Q000032:analysis; D016000:Cluster Analysis; D020869:Gene Expression Profiling; D018506:Gene Expression Regulation, Plant; D046228:Microarray Analysis / Q000379:methods; D008954:Models, Biological; D005810:Multigene Family; D010937:Plant Growth Regulators / Q000032:analysis; D018515:Plant Leaves / Q000235:genetics / Q000254:growth & development / Q000378:metabolism*; D011401:Promoter Regions, Genetic; D018749:RNA, Plant / Q000235:genetics; D014157:Transcription Factors / Q000378:metabolism
chemical_list: D029681:Arabidopsis Proteins; D010937:Plant Growth Regulators; D018749:RNA, Plant; D014157:Transcription Factors; D002734:Chlorophyll