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Time-series transcriptomics reveals that AGAMOUS-LIKE22 affects primary metabolism and developmental processes in drought-stressed arabidopsis

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Published copy (DOI)

Author(s)

  • Ulrike Bechtold
  • Christopher A. Penfold
  • Dafyd J. Jenkins
  • Roxane Legaie
  • Jonathan D. Moore
  • Tracy Lawson
  • Jack S A Matthews
  • Silvere R M Vialet-Chabrand
  • Laura Baxter
  • Sunitha Subramaniam
  • Richard Hickman
  • Hannah Florance
  • Christine Sambles
  • Deborah L. Salmon
  • Regina Feil
  • Laura Bowden
  • Claire Hill
  • Neil R. Baker
  • John E. Lunn
  • Bärbel Finkenstädt
  • Andrew Mead
  • Vicky Buchanan-Wollaston
  • Jim Beynon
  • David A. Rand
  • David L. Wild
  • Sascha Ott
  • Nicholas Smirnoff
  • Philip M. Mullineaux

Department/unit(s)

Publication details

JournalThe Plant Cell
DatePublished - 1 Feb 2015
Issue number2
Volume28
Number of pages22
Pages (from-to)345-366
Original languageEnglish

Abstract

In Arabidopsis thaliana, changes in metabolism and gene expression drive increased drought tolerance and initiate diverse drought avoidance and escape responses. To address regulatory processes that link these responses, we set out to identify genes that govern early responses to drought. To do this, a high-resolution time series transcriptomics data set was produced, coupled with detailed physiological and metabolic analyses of plants subjected to a slow transition from well-watered to drought conditions. A total of 1815 drought-responsive differentially expressed genes were identified. The early changes in gene expression coincided with a drop in carbon assimilation, and only in the late stages with an increase in foliar abscisic acid content. To identify gene regulatory networks (GRNs) mediating the transition between the early and late stages of drought, we used Bayesian network modeling of differentially expressed transcription factor (TF) genes. This approach identified AGAMOUS-LIKE22 (AGL22), as key hub gene in a TF GRN. It has previously been shown that AGL22 is involved in the transition from vegetative state to flowering but here we show that AGL22 expression influences steady state photosynthetic rates and lifetime water use. This suggests that AGL22 uniquely regulates a transcriptional network during drought stress, linking changes in primary metabolism and the initiation of stress responses.

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