Preprint Article Version 1 This version not peer reviewed

Deciphering microRNAs and Their Associated Hairpin Precursors in a Non-Model Plant, Abelmoschus esculentus

Version 1 : Received: 13 March 2017 / Approved: 14 March 2017 / Online: 14 March 2017 (10:15:14 CET)

A peer-reviewed article of this Preprint also exists.

Velayudha Vimala Kumar, K.; Srikakulam, N.; Padbhanabhan, P.; Pandi, G. Deciphering microRNAs and Their Associated Hairpin Precursors in a Non-Model Plant, Abelmoschus esculentus. Non-Coding RNA 2017, 3, 0019. Velayudha Vimala Kumar, K.; Srikakulam, N.; Padbhanabhan, P.; Pandi, G. Deciphering microRNAs and Their Associated Hairpin Precursors in a Non-Model Plant, Abelmoschus esculentus. Non-Coding RNA 2017, 3, 0019.

Journal reference: Non-Coding RNA 2017, 3, 0019
DOI: 10.3390/ncrna3020019

Abstract

MicroRNAs (miRNAs) are crucial regulatory RNAs, originated from hairpin precursors. For the past decade, researchers are focusing extensively on miRNA profiles in various plants. However studies on precursor miRNAs (pre-miRNAs) global profiling stay static even in model plants. Here, for the first time in a non-model plant, Abelmoschus esculentus with negligible genome information, we are reporting the global profiling to characterize the miRNAs and their associated pre-miRNAs by applying next generation sequencing approach. Preliminarily we performed sRNA (small RNA) sequencing with five biological replicates of leaf samples to attain 207,285,863 reads and data analysis using miRPlant keyed out 128 known and 845 novel miRNA candidates. With the objective to seize their associated hairpin precursors, we accomplished pre-miRNA sequencing to attain 83,269,844 reads. The paired end reads are merged, adaptor trimmed and the resulting 40-241 nt (nucleotide) sequences were picked out for analysis by using perl scripts from miRGrep tool and in-house built shell script for Minimum Fold Energy Index (MFEI) calculation. Applying stringent criteria of dicer cleavage pattern and perfect stem loop structure revealed precursors for 57 known miRNAs of 15 families and 18 novel miRNAs. Quantitative Real Time (qRT) PCR was performed to determine the expression of selected miRNAs.

Subject Areas

miRNAs; pre-miRNAs sequencing; Abelmoschus esculentus; Next generation sequencing; non-model plant

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