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Identification of miR414 and Expression Analysis of Conserved miRNAs from Stevia rebaudiana 被引量:4
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作者 Praveen Guleria Sudesh Kumar Yadav 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2011年第6期211-217,共7页
MicroRNAs (miRNAs) usually contain 19-24 nucleotides and have been identified as important eukaryotic gene regulators. Applications of various computational approaches have simplified the task by predicting miRNAs f... MicroRNAs (miRNAs) usually contain 19-24 nucleotides and have been identified as important eukaryotic gene regulators. Applications of various computational approaches have simplified the task by predicting miRNAs from available sequence data sources. In this study, we identified a conserved miR414 from a computational analysis of EST sequence data available from Stevia rebaudiana. In addition, we also identified six conserved miRNAs namely miR169, miR319, miR414, miR164, miR167 and miR398 using stem-loop RT-PCR analysis. Hence, miR414 was commonly identified using both methods. The expression analysis of these miRNAs documented their roles in growth and development of Stevia. Furthermore, the detected miRNAs were found to target genes involved in plant growth, development, metabolism and signal transducfion. This is the first study reporting these conserved miRNAs and their expression in Stevia. 展开更多
关键词 STEVIA MIRNA computational prediction expression analysis target prediction stem-loop reverse transcription
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