TY - JOUR
T1 - Time-series transcriptomics reveals that AGAMOUS-LIKE22 affects primary metabolism and developmental processes in drought-stressed arabidopsis
AU - Bechtold, Ulrike
AU - Penfold, Christopher A.
AU - Jenkins, Dafyd J.
AU - Legaie, Roxane
AU - Moore, Jonathan D.
AU - Lawson, Tracy
AU - Matthews, Jack S A
AU - Vialet-Chabrand, Silvere R M
AU - Baxter, Laura
AU - Subramaniam, Sunitha
AU - Hickman, Richard
AU - Florance, Hannah
AU - Sambles, Christine
AU - Salmon, Deborah L.
AU - Feil, Regina
AU - Bowden, Laura
AU - Hill, Claire
AU - Baker, Neil R.
AU - Lunn, John E.
AU - Finkenstädt, Bärbel
AU - Mead, Andrew
AU - Buchanan-Wollaston, Vicky
AU - Beynon, Jim
AU - Rand, David A.
AU - Wild, David L.
AU - Denby, Katherine J.
AU - Ott, Sascha
AU - Smirnoff, Nicholas
AU - Mullineaux, Philip M.
PY - 2016/2/3
Y1 - 2016/2/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84960442561&partnerID=8YFLogxK
U2 - 10.1105/tpc.15.00910
DO - 10.1105/tpc.15.00910
M3 - Article
AN - SCOPUS:84960442561
SN - 1040-4651
VL - 28
SP - 345
EP - 366
JO - The Plant Cell
JF - The Plant Cell
IS - 2
ER -
