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Updated: Jun 8, 2026

mirMachine: A One-Stop Shop for Plant miRNA Annotation
Published on: May 1, 2021
Computational identification of microRNAs in apple expressed sequence tags and validation of their precise sequences
Huaping Yu1, Changnian Song, Qidong Jia
1College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.
Abstract:
Thirty-one potential miRNAs that belong to 16 miRNA families were discovered from more than 324 000 EST sequences of apple (Malus domestica). In addition, precise sequences, especially terminal nucleotides of the 16 apple miRNAs (mdo-miRNAs) in 16 families were validated by miR-RACE, a newly developed method for the determination of the potential miRNAs predicted computationally. The expression of these 16 microRNAs could be detected in apple young leaf, old leaf, young stem, flower bud, flower and developing fruits by quantitative RT-PCR (qRT-PCR) and some of them showed tissue-specific expression. Fifty-six potential targets were identified for the 16 apple miRNAs, most of which were transcription factors that play important roles in apple development. Twelve target genes were experimentally verified by qRT-PCR, with some exhibiting different expression trends from their corresponding microRNAs, indicating the cleavage mode of miRNAs on their target genes.
Insights
Researchers identified 31 potential apple microRNAs (miRNAs) from EST sequences. These novel miRNAs were validated and found to be expressed in various apple tissues, with some targeting key developmental genes.
Area of Science:
- Plant molecular biology
- Genomics
- Biotechnology
Background:
- MicroRNAs (miRNAs) are crucial regulators of gene expression in plants.
- Understanding miRNA function in apple (Malus domestica) is vital for crop improvement.
Purpose of the Study:
- To discover and validate novel apple miRNAs.
- To investigate the expression patterns and targets of these miRNAs in apple.
Main Methods:
- Bioinformatic analysis of expressed sequence tag (EST) sequences.
- miR-RACE for miRNA sequence validation.
- Quantitative reverse transcription PCR (qRT-PCR) for expression analysis and target verification.
Main Results:
- Discovery of 31 potential miRNAs belonging to 16 families from over 324,000 apple ESTs.
- Validation of 16 apple miRNAs (mdo-miRNAs) using miR-RACE, including precise terminal nucleotide determination.
- Detection of mdo-miRNA expression in young and old leaves, stems, flower buds, flowers, and developing fruits, with some showing tissue-specific patterns.
- Identification of 56 potential target genes, predominantly transcription factors involved in apple development.
- Experimental verification of 12 target genes, with some showing inverse expression trends to their miRNAs, suggesting post-transcriptional regulation via cleavage.
Conclusions:
- This study successfully identified and validated a set of novel apple miRNAs.
- The findings provide insights into miRNA expression profiles and their regulatory roles in apple development.
- The validated miRNAs and their targets offer valuable resources for future research and genetic improvement of apple.
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