红花microRNAs靶基因的生物信息学预测

miRNA是一类动、植物细胞中负责转录后调控的非编码RNA,植物的miRNA通常来源于具有茎环结构的单链RNA前体上,加工成熟后同ARGONAUTE转变成蛋白复合体结构,通过结合并沉默蛋白合成模板的方式关闭完整的基因表达网络。由于miRNA存在组织表达的特异性,且miRNA在植物中的表达高度保守。通过高通量测序获得的红花(Carthamus tinctorious L.)miRNA序列信息与红花转录EST数据库比对,通过靶基因预测筛选,对属于104个家族的173个红花miRNA进行预测,其中得到109个miRNAs对应调控的385个红花靶基因。并且通过Nr基因注释表明多数红花miRNA的靶基因编码包括调控细胞生长发育、信号转导及新陈代谢等相关的功能蛋白。     

Identification and characterization of new plant microRNAs using EST analysis

Seventy-five previously known plant microRNAs (miRNAs) were classified into 14 families according to their gene sequence identity. A total of 18,694 plant expressed sequence tags (EST) were found in the GenBank EST databases by comparing all previously known Arabidopsis miRNAs to GenBank‘s plant EST databases with BLAST algorithms. After removing the EST sequences with high numbers (more than 2) of mismatched nucleotides, a total of 812 EST contigs were identified. After predicting and scoring the RNA secondary structure of the 812 EST sequences using mFold software, 338 new potential miRNAs were identified in 60 plant species, miRNAs are widespread. Some microRNAsmay highly conserve in the plant kingdom, and they may have the same ancestor in very early evolution. There is no nucleotide substitution in most miRNAs among many plant species. Some of the new identified potential miRNAs may be induced and regulated by environmental biotic and abiotic stresses. Some may be preferentially expressed in specific tissues, and are regulated by developmental switching. These findings suggest that EST analysis is a good alternative strategy for identifying new miRNA candidates, their targets, and other genes. A large number of miRNAs exist in different plant species and play important roles in plant developmental switching and plant responses to environmental abiotic and biotic stresses as well as signal transduction. Environmental stresses and developmental switching may be the signals for synthesis and regulation of miRNAs in plants. A model for miRNA induction and expression, and gene regulation by miRNA is hypothesized.     

Computational identification of miRNAs in medicinal plant Senecio vulgaris (Groundsel)

RNAs Interference plays a very important role in gene silencing. In vitro identification of miRNAs is a slow process as it is difficult to isolate them. Nucleotide sequences of miRNAs are highly conserved among the plants and, this form the key feature behind the identification of miRNAs in plant species by homology alignment. In silico identification of miRNAs from EST database is emerging as a novel, faster and reliable approach. Here EST sequences of Senecio vulgaris (Groundsel) were searched against known miRNA sequences by using BLASTN tool. A total of 10 miRNAs were identified from 1956 EST sequences and 115 GSS sequences. The most stable miRNA identified is svu-mir-1. This approach will accelerate advance research in regulation of gene expression in Groundsel by interfering RNAs.     

Data mining for miRNAs and their targets in the Triticeae.

MicroRNAs (miRNAs) and the mRNA targets of miRNAs were identified by sequence complementarity within a DNA sequence database for species of the Triticeae. Data screening identified 28 miRNA precursor sequences from 15 miRNA families that contained conserved mature miRNA sequences within predicted stem-loop structures. In addition, the identification of 337 target sequences among Triticeae genes provided further evidence of the existence of 26 miRNA families in the cereals. MicroRNA targets included genes that are homologous to known targets in diverse model species as well as novel targets. MicroRNA precursors and targets were identified in 10 related species, though the great majority of them were identified in bread wheat, Triticum aestivum, and barley, Hordeum vulgare, the two species with the largest EST data sets among the Triticeae.     

Identification and verification of microRNA in wheat (Triticum aestivum)

MicroRNAs (miRNAs) are small, endogenous RNAs that regulate gene expression in both plants and animals. A large number of miRNAs has been identified from various animals and model plant species such as Arabidopsis thaliana and rice (Oryza sativa); however, characteristics of wheat (Triticum aestivum) miRNAs are poorly understood. Here, computational identification of miRNAs from wheat EST sequences was preformed by using the in-house program GenomicSVM, a prediction model for miRNAs. This study resulted in the discovery of 79 miRNA candidates. Nine out of 22 miRNA representatives randomly selected from the 79 candidates were experimentally validated with Northern blotting, indicating that prediction accuracy is about 40%. For the 9 validated miRNAs, 59 wheat ESTs were predicted as their putative targets. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users. Weibo Jin and Nannan Li contributed equally to the work.     

Computational identification of citrus microRNAs and target analysis in citrus expressed sequence tags

MicroRNAs (miRNAs) are a new family of small RNA molecules found in plants and animals. We developed a comprehensive strategy for identifying new miRNA homologues by mining the repository of available citrus expressed sequence tags (ESTs). By adopting a range of filtering criteria, we identified a total of 38 potential miRNAs--nine, five, nine and 15 miRNAs in Citrus trifoliata (ctr-miRNAs), C. clementina (ccl-miRNAs), C. reticulata (crt-miRNAs) and C. sinensis (csi-miRNAs), respectively--from more than 430,000 EST sequences in citrus. Using the potential miRNA sequences, we conducted a further BLAST search of the mRNA database and found six potential target genes in these citrus species. Eight miRNAs were selected in order to verify their existence in citrus using Northern blotting, and the functions of several miRNAs in miRNA-mediated gene regulation are experimentally suggested. It appears that all these miRNAs regulate expression of their target genes by cleavage, which is the most common situation in gene regulation mediated by plant miRNAs. Our achievement in identifying new miRNAs in citrus provides a powerful incentive for further studies on the important roles of these miRNAs.     

Identification of conserved microRNAs and their target genes in tomato (Lycopersicon esculentum)

MicroRNAs (miRNAs) are a class of non-coding RNAs that have important gene regulation roles in various organisms. To date, a total of 1279 plant miRNAs have been deposited in the miRNA miRBase database (Release 10.1). Many of them are conserved during the evolution of land plants suggesting that the well-conserved miRNAs may also retain homologous target interactions. Recently, little is known about the experimental or computational identification of conserved miRNAs and their target genes in tomato. Here, using a computational homology search approach, 21 conserved miRNAs were detected in the Expressed Sequence Tags (EST) and Genomic Survey Sequence (GSS) databases. Following this, 57 potential target genes were predicted by searching the mRNA database. Most of the target mRNAs appeared to be involved in plant growth and development. Our findings verified that the well-conserved tomato miRNAs have retained homologous target interactions amongst divergent plant species. Some miRNAs express diverse combinations in different cell types and have been shown to regulate cell-specific target genes coordinately. We believe that the targeting propensity for genes in different biological processes can be explained largely by their protein connectivity.     

Characterization of microRNAs from sheep (<Emphasis Type="Italic">Ovis aries</Emphasis>) using computational and experimental analyses

Ovis aries is one of the most important agricultural livestock for meat production, and also is an ideal model organism for biological and comparative genomics studies. Many miRNAs have been reported for their important roles in developmental processes in various animals, but there is limited information about O. aries miRNAs. In this study, combining a computational method based on expressed sequence tag (EST) analysis with experimental identification based on small RNA cDNA library, we identified 31 miRNAs belong to 24 families in sheep, 2 of which were novel miRNAs which had never been previously identified in any species. Especially, we cloned 12 miRNAs from the sheep skeletal muscle, which were good candidate miRNAs to be studied about the miRNA-dependant regulated process of muscle development, and we identified four pairs of miRNA/miRNA* and one pair of miRNA-3p/miRNA-5p from sheep EST sequences. Expression analysis indicated that some miRNAs were expressed in a specific tissue, and the pair of miRNA-3p/miRNA-5p and one pair of miRNA/miRNA* had a similar relative expression pattern in some tissues, respectively. Further, we predicted 120 potential target genes of 31 oar-miRNAs on the 3′UTR of O. aries genes. Gene ontology analysis showed that most of these genes took part in the cellular process and metabolic process. Our results enriched the O. aries miRNA database and provided useful information for investigating biological functions of miRNAs and miRNA* in sheep.