2019
DOI: 10.1016/j.scienta.2019.02.012
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In silico identification of microRNAs and their target genes in watermelon (Citrullus lanatus)

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Cited by 10 publications
(6 citation statements)
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“…In the present study, we considered all the important criteria such as the MFEI values, mismatch inhibition, and sequence length, which have been used for miRNA identification in other plant species. The MFEI values of the 20 identified miRNAs in our work were just above 0.5, which is in accordance with that reported for some miRNAs identified in other plant ESTs (Wang et al, 2012 ; Gupta et al, 2015 ; Patel et al, 2019 ; Zakeel et al, 2019 ). The G + C% of the miR399 members ranged from 37.5% to 38.8%, whereas it was found to be more than 41% for miR5021 mature miRNA sequence.…”
Section: Discussionsupporting
confidence: 92%
“…In the present study, we considered all the important criteria such as the MFEI values, mismatch inhibition, and sequence length, which have been used for miRNA identification in other plant species. The MFEI values of the 20 identified miRNAs in our work were just above 0.5, which is in accordance with that reported for some miRNAs identified in other plant ESTs (Wang et al, 2012 ; Gupta et al, 2015 ; Patel et al, 2019 ; Zakeel et al, 2019 ). The G + C% of the miR399 members ranged from 37.5% to 38.8%, whereas it was found to be more than 41% for miR5021 mature miRNA sequence.…”
Section: Discussionsupporting
confidence: 92%
“…The recent development of next-generation sequencing technology has led to the discovery of numerous miRNAs in several non-model plant species [8]; however, the overall procedure is expensive, time-consuming, and requires a high technical expertise. In the plant kingdom, multiple miRNAs are evolutionarily conserved, and this feature simplifies the process of characterization of novel miRNA orthologues in new plant species by identifying homologs [10][11][12]. Nonetheless, the only sequence-based in silico homology approaches to identify potential miRNAs in new plant species may yield false-positive results, and hence consideration must be given to the secondary structures as well as other parameters of the pre-miRNAs such as length, GC content, Minimum Folding Free Energy (MFE), and Minimum Folding Free Energy Index (MFEI) in order to increase the precision of the computational prediction by discriminating from other coding or non-coding RNAs [6,12,13].…”
Section: Introductionmentioning
confidence: 99%
“…miRNAs are essential modulators of transcriptional gene regulation in plants ( Zakeel et al, 2019 ). Up to now, many plant miRNAs have been identified to respond to different stress conditions.…”
Section: Discussionmentioning
confidence: 99%