Literature DB >> 22415044

Identification of miRNAs in sorghum by using bioinformatics approach.

Amit Katiyar1, Shuchi Smita, Viswanathan Chinnusamy, Dev Mani Pandey, Kailash Bansal.   

Abstract

MicroRNAs (miRNAs) regulate gene expression mainly by post-transcriptional gene silencing (PTGS) and in some cases by transcriptional genes silencing (TGS). miRNAs play critical roles in developmental processes, nutrient homeostasis, abiotic stress and pathogen responses of plants. In contrast to the large number of miRNAs predicted in cereal model plant rice, only 148 miRNAs were predicted in sorghum till date (miRBase release 17). This suggested that miRNAs identified in sorghum is far from saturation. Hence, we developed a bioinformatics pipeline using an in-house PERL script and publicly available structure prediction tools to identify miRNAs and their target genes from publically available Expressed Sequence Tags (EST) and Genomic Survey Sequence (GSS). About 1379 known and unique plant miRNAs from 33 different crops were used to predict new miRNAs in sorghum. We identified 31 new miRNAs belonging to 10 different miRNA families. We predicted 72 potential target genes for 31 miRNAs, and most of these target genes are predicted to be involved in plant growth and development.These newly identified miRNAs add to the growing database of miRNA and lay the foundation for further understanding of miRNA function in sorghum plant development.

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Year:  2012        PMID: 22415044      PMCID: PMC3405690          DOI: 10.4161/psb.18914

Source DB:  PubMed          Journal:  Plant Signal Behav        ISSN: 1559-2316


  100 in total

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Review 4.  Functional Roles of microRNAs in Agronomically Important Plants-Potential as Targets for Crop Improvement and Protection.

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5.  Comparative analysis of sRNAs, degradome and transcriptomics in sweet sorghum reveals the regulatory roles of miRNAs in Cd accumulation and tolerance.

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6.  Identification of novel drought-responsive microRNAs and trans-acting siRNAs from Sorghum bicolor (L.) Moench by high-throughput sequencing analysis.

Authors:  Amit Katiyar; Shuchi Smita; Senthilkumar K Muthusamy; Viswanathan Chinnusamy; Dev M Pandey; Kailash C Bansal
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