Characterization and bioinformatics analysis of ptc-miR396g-5p in response to drought stress of Paeonia ostii

Abstract

Drought is one of the main abiotic stress factors affecting yield of Paeonia ostii. In this study, we conducted bioinformatics and differential expression analyses of P. ostii ‘Feng Dan’ ptc-miR396g-5p in leaf samples under different drought stress. ptc-miR396g-5p belongs to the miR396 family. Among the 271 plant species registered in the miRBase database, at least one miR396 member was found in 48 Angiospermae species, 3 in Gymnospermae species, and 1 in Pteridophy. Mature sequence alignment showed that P. ostii ‘Feng Dan’ ptc-miR396g-5p had high sequence similarity with miR396 from other species. Secondary structure prediction showed that the precursor sequence of ‘Feng Dan’ ptc-miR396g-5p could form a stable stem-loop structure, and the mature sequence was located on the 5′ arm of the secondary structure. Phylogenetic tree analysis showed that ‘Feng Dan’ was closely related to 20 species such as Glycine max, Medicago truncatula, Populus trichocarpa, Citrus sinensis, Vitis vinifera, and Theobroma cacao. The predicted target gene of the ‘Feng Dan’ ptc-miR396g-5p encodes a Signal Transducer and Activator of Transcription (STAT) transcription factor. The negative correlation of expression between the miRNA and its target gene was confirmed by qRT-PCR. Our data indicate that ‘Feng Dan’ ptc-miR396g-5p′s expression decreases under drought, leading to an expression increase of the STAT transcription factor.

Keywords

• Drought response
• Phylogenetic tree
• miRNA secondary structure
• miRNA target gene
• qRT-PCR