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Plant Small RNAs: Biogenesis, Mode of Action and Their Roles in Abiotic Stresses 被引量:10
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作者 praveen guleria Monika Mahajan +1 位作者 Jyoti Bhardwaj Sudesh Kumar Yadav 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2011年第6期183-199,共17页
Small RNAs (sRNAs) are 18-30 nt non-coding regulatory elements found in diverse organisms, which were initially identified as small double-stranded RNAs in Caenorhabditis elegans. With the development of new and imp... Small RNAs (sRNAs) are 18-30 nt non-coding regulatory elements found in diverse organisms, which were initially identified as small double-stranded RNAs in Caenorhabditis elegans. With the development of new and improved technologies, sRNAs have also been identified and characterized in plant systems. Among them, micro RNAs (miRNAs) and small interfering RNAs (siRNAs) are found to be very important riboregulators in plants. Various types of sRNAs differ in their mode of biogenesis and in their function of gene regulation, sRNAs are involved in gene regulation at both transcriptional and post-transcriptional levels. They are known to regulate growth and development of plants. Furthermore, sRNAs especially plant miRNAs have been found to be involved in various stress responses, such as oxidative, mineral nutrient deficiency, dehydration, and even mechanical stimulus. Therefore, in the present review, we focus on the current understanding of biogenesis and regulatory mechanisms of plant sRNAs and their responses to various abiotic stresses. 展开更多
关键词 PLANTS abiotic stress small RNA microRNA SIRNA
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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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