4.7 Article

Nuclear localization and transactivation by Vitis CBF transcription factors are regulated by combinations of conserved amino acid domains

Journal

PLANT PHYSIOLOGY AND BIOCHEMISTRY
Volume 118, Issue -, Pages 306-319

Publisher

ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.plaphy.2017.06.027

Keywords

CBF pathway; Vitis species; Nuclear localization signal; Transactivation

Categories

Funding

  1. NSERC [400690]
  2. Ontario Research Fund [050428]
  3. Ontario Graduate Fellowship
  4. GRATS scholarship
  5. Department of Molecular and Cellular Biology, University of Guelph

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The highly conserved CBF pathway is crucial in the regulation of plant responses to low temperatures. Extensive analysis of Arabidopsis CBF proteins revealed that their functions rely on several conserved amino acid domains although the exact function of each domain is disputed. The question was what functions similar domains have in CBFs from other, overwintering woody plants such as Vitis, which likely have a more involved regulation than the model plant Arabidopsis. A total of seven CBF genes were cloned and sequenced from V riparia and the less frost tolerant V. vinifera. The deduced species-specific amino acid sequences differ in only a few amino acids, mostly in non-conserved regions. Amino acid sequence comparison and phylogenetic analysis showed two distinct groups of Vitis CBFs. One group contains CBF1, CBF2, CBF3 and CBF8 and the other group contains CBF4, CBF5 and CBF6. Transient transactivation assays showed that all Vitis CBFs except CBF5 activate via a CRT or DRE promoter element, whereby Vitis CBF3 and 4 prefer a CRT element. The hydrophobic domains in the C-terminal end of VrCBF6 were shown to be important for how well it activates. The putative nuclear localizationdomain of Vitis CBF1 was shown to be sufficient for nuclear localization, in contrast to previous reports for AtCBF1, and also important for transactivation. The latter highlights the value of careful analysis of domain functions instead of reliance on computer predictions and published data for other related proteins. (C) 2017 Elsevier Masson SAS. All rights reserved.

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