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Plant Cell. 2015 Aug;27(8):2244-60. doi: 10.1105/tpc.15.00163. Epub 2015 Aug 14.

Crosstalk between Two bZIP Signaling Pathways Orchestrates Salt-Induced Metabolic Reprogramming in Arabidopsis Roots.

Author information

1
Julius-von-Sachs-Institut, Pharmazeutische Biologie, Universität Würzburg, 97082 Würzburg, Germany.
2
BSIO Berlin School of Integrative Oncology, Charite-Universitätsmedizin Berlin, D-13353 Berlin, Germany.
3
Centro de Biotecnología y Genómica de Plantas (UPM-INIA), Campus de Montegancedo, Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Madrid, Spain.
4
Department of Molecular Plant Physiology, Utrecht University, 3584 CH Utrecht, The Netherlands Umeå Plant Science Center, Department of Plant Physiology, Umeå University, SE-901 87 Umeå, Sweden.
5
Julius-von-Sachs-Institut, Pharmazeutische Biologie, Universität Würzburg, 97082 Würzburg, Germany wolfgang.droege-laser@uni-wuerzburg.de.

Abstract

Soil salinity increasingly causes crop losses worldwide. Although roots are the primary targets of salt stress, the signaling networks that facilitate metabolic reprogramming to induce stress tolerance are less understood than those in leaves. Here, a combination of transcriptomic and metabolic approaches was performed in salt-treated Arabidopsis thaliana roots, which revealed that the group S1 basic leucine zipper transcription factors bZIP1 and bZIP53 reprogram primary C- and N-metabolism. In particular, gluconeogenesis and amino acid catabolism are affected by these transcription factors. Importantly, bZIP1 expression reflects cellular stress and energy status in roots. In addition to the well-described abiotic stress response pathway initiated by the hormone abscisic acid (ABA) and executed by SnRK2 (Snf1-RELATED-PROTEIN-KINASE2) and AREB-like bZIP factors, we identify a structurally related ABA-independent signaling module consisting of SnRK1s and S1 bZIPs. Crosstalk between these signaling pathways recruits particular bZIP factor combinations to establish at least four distinct gene expression patterns. Understanding this signaling network provides a framework for securing future crop productivity.

PMID:
26276836
PMCID:
PMC4568499
DOI:
10.1105/tpc.15.00163
[Indexed for MEDLINE]
Free PMC Article

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