Computational identification of maize miRNA and their gene targets involved in biotic and abiotic stresses
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Date
2020-10
Journal Title
Journal ISSN
Volume Title
Publisher
Indian Academy of Sciences
Abstract
Plant interactions with biotic and abiotic stresses are complex and entail changes at the transcriptional, cellularand physiological level. MicroRNAs (miRNAs) are small (*20–24 nt), non-coding RNAs that play a vital rolein wide range of biological processes involved in regulation of gene expression through translation inhibitionor degradation of their target mRNAs during stress conditions. Therefore, identification of miRNAs and theirtargets are of immense value in understanding the regulatory networks triggered during stress. Advancement incomputational approaches has opened up ways for the prediction of miRNAs and their possible targets withfunctional pathways. Our objective was to identify miRNA and their potential targets involved in both bioticand abiotic stresses in maize. A total of 2,019,524 downloaded ESTs from dbEST were processed and trimmedby Seq Clean. The program trashed 264,000 and trimmed 284,979 sequences and the resulting 1,755,534sequences were submitted for clustering and assembled to RepeatMasker and TGICL. A total of 30 miRNAswere found to hybridize with the potential targets of gene families such as CoA ligase, lipoxygenase 1,Terpenoideyclases, Zn finger, transducing, etc. Ten of the identified miRNAs targeted cytochrome c1 family.Zm_miR23 class targeted 11 different genes. The identified targets are involved in the plant growth anddevelopment during biotic and abiotic stresses in maize. These miRNAs may be further used for functionalanalysis. Furthermore, four and two of the miRNA targets were validated in response to waterlogging toleranceand southern leaf blight resistance, respectively, to understand the miRNA-assisted regulation of targetmiRNAs. The functional annotation of the predicted targets indicated that these stress-responsive miRNAsregulate cellular function; molecular function and biological process in maize at the post-transcriptional level.The present results have paved way towards better understanding the role of miRNAs in the mechanism ofstress tolerance in maize.
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Keywords
Potential targets, RepeatMasker, southern leaf blight, stress responsive miRNA, TGICL, waterlogging, Zea mays
Citation
Kaur Kirandeep, Duhan Naveen, Singh Jagveer, Kaur Gurwinder, Vikal Yogesh. Computational identification of maize miRNA and their gene targets involved in biotic and abiotic stresses. Journal of Biosciences. 2020 Oct; : 1-17