应用生物信息学预测牛新microRNA及验证

Computational and Experimental Identification of Novel MicroRNAs in Bovine by Bioinformatics

本研究旨在通过比较基因组学和结构序列分析方法预测牛基因组中的新miRNAs并进行试验验证。根据miRNA分子序列具有一定保守性,将人、小鼠、绵羊、猪和狗5种哺乳动物已知的miRNA分子与NCBI中牛的全基因组序列(UMD3.1)对比,获得牛miRNAs;随机选取部分预测的miRNAs进行实时荧光定量PCR(qRTPCR)验证。结果,基于物种间序列同源比对共计预测到44条新的牛miRNAs,选取其中4条miRNAs,通过qRTPCR方法,发现他们在泌乳期中国荷斯坦牛乳腺、心、子宫和肝组织中均有表达。结果表明,基于比较基因组学和生物信息学预测新的miRNA分子可行,为奶牛基因表达调控及其性状形成机制研究提供了前期基础。

This study aimed to predict novel miRNAs of bovine by comparative genomics and bioinformatics analysis.According to the conservation of miRNAs sequence,we compared the known miRNAs in human,mouse,sheep,pig and dog with the bovine genome sequence(UMD3.1)in NCBI to predict novel miRNAs,some of which were validated by qRT-PCR.A total of 44 novel miRNAs of bovine were obtained.Four of these were randomly selected to be validated.It was found that the 4predicted miRNAs were expressed in mammary gland,cardiac muscle,uterus and liver of lactating Chinese Holstein cows.The methodology provides an alternative approach to predict the novel miRNAs and provide a groundwork for gene expression and trait formation mechanisms in dairy cattle.