The PoLACS4 Gene May Participate in Drought Stress Resistance in Tree Peony (Paeonia ostii 'Feng Dan Bai')

Genes (Basel). 2022 Sep 5;13(9):1591. doi: 10.3390/genes13091591.

Abstract

The tree peony (Paeonia ostii 'Feng Dan Bai') has excellent drought tolerance. Although it has already been reported that the cuticle is an essential barrier against drought stress, the critical genes for cuticle resistance to drought remain unclear. However, the long-chain acyl-CoA synthetases (LACS) family of genes may be significant for the synthesis of cuticle wax. To test whether the LACS gene family is involved in cuticle response to drought stress in tree peony, we measure the thickness of cuticle stems and leaves alongside LACS enzyme activity. It is found that the cuticle thickens and the LACS enzyme increases with the maturation of stems and leaves, and there is a positive correlation between them. The LACS enzyme increases within 12 h under drought stress induced by polyethylene glycol (PEG). The transcriptome sequencing result (BioProject accession number PRJNA317164) is searched for, and a LACS gene with high expression is cloned. This gene has high homology and similarity with LACS4 from Arabidopsis thaliana. The gene is named PoLACS4. It is show to be highly expressed in mature leaves and peaks within 1 h under drought and salt stresses. All these results suggest that the LACS family of genes may be involved in cuticle response to drought stress and that PoLACS4 is a crucial gene which responds rapidly to drought in the tree peony.

Keywords: PoLACS4; cuticle wax; enzymatic activity; expression analysis; long-chain acyl-CoA synthetases; tree peony.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Arabidopsis* / genetics
  • Coenzyme A / genetics
  • Coenzyme A / metabolism
  • Coenzyme A Ligases / genetics
  • Droughts
  • Gene Expression Regulation, Plant
  • Paeonia* / genetics
  • Polyethylene Glycols

Substances

  • Polyethylene Glycols
  • Coenzyme A Ligases
  • Coenzyme A

Grants and funding

This work was co-funded by the Yunnan Province Key Basic Special Biological Resources Digital Development and Application Project (202002AA10007), Yunnan Province Thousand Talents Program ‘High-level Talents’ and Yunnan Province Thousand Talents Program ‘Yunling Industrial Technology Leading Talents’.