Prediction and validation of conservative microRNAs of Solanum tuberosum L.
Potato (Solanum tuberosum) is an important crop around the world, and accounts for a significant amount of the food consumed by humans. However, little information is available about potato miRNAs which play important regulatory roles in plant growth and development. In the present study, computational prediction of potential miRNAs from potato revealed 71 miRNAs belonging to 48 families. Amongst these 71 mRNAs, 65 were predicted for the first time. Most potato miRNA families have one to three members, and sequence analysis showed that the candidate pre-miRNA sequences varied from 48 to 224 bp in length. To verify the predicted miRNAs, specific stem-loop RT primers were designed and real-time PCR assays were used to profile the expression levels of seven miRNAs from different tissues of potato. The results showed that all the selected miRNAs were successfully amplified. Most of them had their highest expression levels in leaves, and the lowest levels in the stem, while miR159 and miR164 presented a different expression pattern. The specific expression levels of each miRNAs in the tested tissues may be related to their particular functions in regulating potato vegetative growth and organ development.
KeywordsSolanum tuberosum miRNA Prediction Stem-loop real-time RT–PCR
Shoot apical meristem
Expressed sequence tags
Minimal free energies
Minimal free energy index
RNA-induced silencing complex
This work was supported by the National High-Tech Development Project (863: 2008AA 10Z129).
- 24.Zhang W, Luo Y, Gong X, Zeng W, Li S (2009) Computational identification of 48 potato microRNAs and their targets. Comput Biol Chem 33:84–93Google Scholar