Velayudha Vimala Kumar Kavitha, Srikakulam Nagesh, Padbhanabhan Priyavathi, Pandi Gopal
Department of Plant Biotechnology, School of Biotechnology, Madurai Kamaraj University, Madurai 625021,Tamil Nadu, India.
Noncoding RNA. 2017 Mar 31;3(2):19. doi: 10.3390/ncrna3020019.
MicroRNAs (miRNAs) are crucial regulatory RNAs, originated from hairpin precursors. For the past decade, researchers have been focusing extensively on miRNA profiles in various plants. However, there have been few studies on the global profiling of precursor miRNAs (pre-miRNAs), even in model plants. Here, for the first time in a non-model plant-Abelmoschus esculentus with negligible genome information-we are reporting the global profiling to characterize the miRNAs and their associated pre-miRNAs by applying a next generation sequencing approach. Preliminarily, we performed small RNA (sRNA) sequencing with five biological replicates of leaf samples to attain 207,285,863 reads; data analysis using miRPlant revealed 128 known and 845 novel miRNA candidates. With the objective of seizing their associated hairpin precursors, we accomplished pre-miRNA sequencing to attain 83,269,844 reads. The paired end reads are merged and adaptor trimmed, and the resulting 40-241 nt (nucleotide) sequences were picked out for analysis by using perl scripts from the miRGrep tool and an in-house built shell script for Minimum Fold Energy Index (MFEI) calculation. Applying the stringent criteria of the Dicer cleavage pattern and the perfect stem loop structure, precursors for 57 known miRNAs of 15 families and 18 novel miRNAs were revealed. Quantitative Real Time (qRT) PCR was performed to determine the expression of selected miRNAs.
微小RNA(miRNA)是至关重要的调控RNA,源自发夹前体。在过去十年中,研究人员广泛关注各种植物中的miRNA谱。然而,即使在模式植物中,对前体miRNA(pre-miRNA)的全基因组分析也很少。在此,我们首次在一种基因组信息可忽略不计的非模式植物——黄秋葵中,通过应用下一代测序方法报告全基因组分析,以表征miRNA及其相关的pre-miRNA。初步地,我们对叶样本的五个生物学重复进行了小RNA(sRNA)测序,获得了2.07285863亿条读数;使用miRPlant进行数据分析,发现了128个已知的和845个新的miRNA候选物。为了捕获其相关的发夹前体,我们完成了pre-miRNA测序,获得了8326.9844万条读数。将双末端读数合并并去除接头,使用来自miRGrep工具的perl脚本和一个内部构建的用于最小折叠能量指数(MFEI)计算的壳脚本,挑选出所得的40 - 241个核苷酸(nt)序列进行分析。应用Dicer切割模式和完美茎环结构的严格标准,揭示了15个家族的57个已知miRNA和18个新miRNA的前体。进行了定量实时(qRT)PCR以确定所选miRNA的表达。