计算识别水稻基因组中microRNA基因

一些低丰度的m iRNA和组织特异性m iRNA往往很难发现,利用生物信息学方法,根据已知水稻m iRNA的各种属性,设计m iRNA前体预测程序——P reM iRF ind,从全基因组范围中预测出1 375条m iRNA前体,然后利用已知拟南芥的m iRNA对这1 375条前体进行同源检索,找出166条m iRNA前体,再用水稻已知的m iRNA对这166条序列进行检索,发现其中153条与已知的水稻m icroRNA完全相同,对剩余的13条m iRNA前体预测序列用m Fo ld作进一步结构分析,最后得到10条新的候选m iRNA基因序列。

Pre-microRNA非螺旋片段研究

利用统计学方法分析了microRNA二级结构对Dicer酶剪切位点的影响,对于microRNA成熟体预测方法有一定参考价值。

Annotation of miRNAs in the COVID-19 Novel Coronavirus

The coronavirus disease 2019(COVID-19)coronavirus is a new strain of coronavirus that had not been previously detected in humans.As its severe pathogenicity is concerned,it is important to study it thoroughly to aid in the discovery of a cure.In this study,the microRNAs(miRNAs)of COVID-19 were annotated to provide a powerful tool for the study of this novel coronavirus.We obtained 16 novel coronavirus genome sequences and the mature sequences of all viruses in the microRNA database(miRbase),and then used the miRNA matures sequences of the virus to perform the Basic Local Alignment Search Tool(BLAST)analysis in the coronavirus genome,extending the matched regions of approximately 20 bp to two segments by 200 bp.Six sequences were obtained after deleting redundant sequences.Then,the hairpin structures of the mature miRNAs were determined using RNAfold.The mature sequence on one hairpin arm was selected into a total of 4 sequences,and finally the relevant miRNA precursor prediction tools were used to verify whether the selected sequences are miRNA precursor sequences of the novel coronavirus.The miRNAs of the novel coronavirus were annotated by our newly developed method,which will lay the foundation for further study of this virus.

库尔勒香梨9个新miRNA克隆鉴定

利用在小RNA高通量测序试验中筛选出的脱萼组与宿萼组差异表达新miRNA基因,采用Stem-loop法对总体表达量居前20位、在脱萼组和宿萼组中具有显著性差异表达、在子房和萼片组织中具有显著性差异表达的新miRNA进行成熟体的克隆鉴定、前体序列二级结构分析、qRT-PCR试验以及靶基因预测。结果显示,在不同的样本中有9个新miRNA(novel_miRNA)的成熟体序列以及4个novel_miRNA的表达量与高通量测序结果完全一致,并且预测得到大量具有生物学功能的靶基因。新发现的miRNA可能与‘库尔勒香梨’萼片脱落和宿存有密切关系。