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

Bechtold, Ulrike, Penfold, Christopher A., Jenkins, Dafyd J., Legaie, Roxane, Moore, Jonathan D., Lawson, Tracy, Matthews, Jack S. A., Vialet-Chabrand, Silvere R. M., Baxter, Laura, Subramaniam, Sunitha, Hickman, Richard, Florance, Hannah, Sambles, Christine, Salmon, Deborah L., Feil, Regina, Bowden, Laura, Hill, Claire, Baker, Neil R., Lunn, John E., Finkenstaedt, Baerbel, Mead, Andrew, Buchanan-Wollaston, Vicky, Beynon, Jim, Rand, David A., Wild, David L., Denby, Katherine J., Ott, Sascha, Smirnoff, Nicholas and Mullineaux, Philip M. (2016) Time-series transcriptomics reveals that AGAMOUS-LIKE22 affects primary metabolism and developmental processes in drought-stressed arabidopsis. Plant Cell, 28 2: 345-366. doi:10.1105/tpc.15.00910


Author Bechtold, Ulrike
Penfold, Christopher A.
Jenkins, Dafyd J.
Legaie, Roxane
Moore, Jonathan D.
Lawson, Tracy
Matthews, Jack S. A.
Vialet-Chabrand, Silvere R. M.
Baxter, Laura
Subramaniam, Sunitha
Hickman, Richard
Florance, Hannah
Sambles, Christine
Salmon, Deborah L.
Feil, Regina
Bowden, Laura
Hill, Claire
Baker, Neil R.
Lunn, John E.
Finkenstaedt, Baerbel
Mead, Andrew
Buchanan-Wollaston, Vicky
Beynon, Jim
Rand, David A.
Wild, David L.
Denby, Katherine J.
Ott, Sascha
Smirnoff, Nicholas
Mullineaux, Philip M.
Title Time-series transcriptomics reveals that AGAMOUS-LIKE22 affects primary metabolism and developmental processes in drought-stressed arabidopsis
Formatted title
Time-series transcriptomics reveals that AGAMOUS-LIKE22 affects primary metabolism and developmental processes in drought-stressed arabidopsis
Journal name Plant Cell   Check publisher's open access policy
ISSN 1532-298X
1040-4651
Publication date 2016-02-01
Year available 2016
Sub-type Article (original research)
DOI 10.1105/tpc.15.00910
Open Access Status DOI
Volume 28
Issue 2
Start page 345
End page 366
Total pages 69
Place of publication Rockville, MD United States
Publisher American Society of Plant Biologists
Language eng
Formatted 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.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
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