Experimental RNomics: identification of 140 candidates for small non-messenger RNAs in the plant Arabidopsis thaliana

BACKGROUND: Genomes from all organisms known to date express two types of RNA molecules: messenger RNAs (mRNAs), which are translated into proteins, and non-messenger RNAs, which function at the RNA level and do not serve as templates for translation. RESULTS: We have generated a specialized cDNA library from Arabidopsis thaliana to investigate the population of small non-messenger RNAs (snmRNAs) sized 50-500 nt in a plant. From this library, we identified 140 candidates for novel snmRNAs and investigated their expression, abundance, and developmental regulation. Based on conserved sequence and structure motifs, 104 snmRNA species can be assigned to novel members of known classes of RNAs (designated Class I snmRNAs), namely, small nucleolar RNAs (snoRNAs), 7SL RNA, U snRNAs, as well as a tRNA-like RNA. For the first time, 39 novel members of H/ACA box snoRNAs could be identified in a plant species. Of the remaining 36 snmRNA candidates (designated Class II snmRNAs), no sequence or structure motifs were present that would enable an assignment to a known class of RNAs. These RNAs were classified based on their location on the A. thaliana genome. From these, 29 snmRNA species located to intergenic regions, 3 located to intronic sequences of protein coding genes, and 4 snmRNA candidates were derived from annotated open reading frames. Surprisingly, 15 of the Class II snmRNA candidates were shown to be tissue-specifically expressed, while 12 are encoded by the mitochondrial or chloroplast genome. CONCLUSIONS: Our study has identified 140 novel candidates for small non-messenger RNA species in the plant A. thaliana and thereby sets the stage for their functional analysis.     

RNomics in Drosophila melanogaster: identification of 66 candidates for novel non-messenger RNAs

By generating a specialised cDNA library from four different developmental stages of Drosophila melanogaster, we have identified 66 candidates for small non-messenger RNAs (snmRNAs) and have confirmed their expression by northern blot analysis. Thirteen of them were expressed at certain stages of D.melanogaster development, only. Thirty-five species belong to the class of small nucleolar RNAs (snoRNAs), divided into 15 members from the C/D subclass and 20 members from the H/ACA subclass, which mostly guide 2'-O-methylation and pseudouridylation, respectively, of rRNA and snRNAs. These also include two outstanding C/D snoRNAs, U3 and U14, both functioning as pre-rRNA chaperones. Surprisingly, the sequence of the Drosophila U14 snoRNA reflects a major change of function of this snoRNA in Diptera relative to yeast and vertebrates. Among the 22 snmRNAs lacking known sequence and structure motifs, five were located in intergenic regions, two in introns, five in untranslated regions of mRNAs, eight were derived from open reading frames, and two were transcribed opposite to an intron. Interestingly, detection of two RNA species from this group implies that certain snmRNA species are processed from alternatively spliced pre-mRNAs. Surprisingly, a few snmRNA sequences could not be found on the published D.melanogaster genome, which might suggest that more snmRNA genes (as well as mRNAs) are hidden in unsequenced regions of the genome.     

RNomics: an experimental approach that identifies 201 candidates for novel, small, non-messenger RNAs in mouse

In mouse brain cDNA libraries generated from small RNA molecules we have identified a total of 201 different expressed RNA sequences potentially encoding novel small non-messenger RNA species (snmRNAs). Based on sequence and structural motifs, 113 of these RNAs can be assigned to the C/D box or H/ACA box subclass of small nucleolar RNAs (snoRNAs), known as guide RNAs for rRNA. While 30 RNAs represent mouse homologues of previously identified human C/D or H/ACA snoRNAs, 83 correspond to entirely novel snoRNAS: Among these, for the first time, we identified four C/D box snoRNAs and four H/ACA box snoRNAs predicted to direct modifications within U2, U4 or U6 small nuclear RNAs (snRNAs). Furthermore, 25 snoRNAs from either class lacked antisense elements for rRNAs or snRNAS: Therefore, additional snoRNA targets have to be considered. Surprisingly, six C/D box snoRNAs and one H/ACA box snoRNA were expressed exclusively in brain. Of the 88 RNAs not belonging to either snoRNA subclass, at least 26 are probably derived from truncated heterogeneous nuclear RNAs (hnRNAs) or mRNAS: Short interspersed repetitive elements (SINEs) are located on five RNA sequences and may represent rare examples of transcribed SINES: The remaining RNA species could not as yet be assigned either to any snmRNA class or to a part of a larger hnRNA/mRNA. It is likely that at least some of the latter will represent novel, unclassified snmRNAS:     

Computational RNomics:Structure identification and functional prediction of non-coding RNAs in silico

The eukaryotic genome contains varying numbers of non-coding RNA(ncRNA) genes.Computational RNomics takes a multidisciplinary approach,like information science,to resolve the structure and function of ncRNAs.Here,we review the main issues in Computational RNomics of data storage and management,ncRNA gene identification and characterization,ncRNA target identification and functional prediction,and we summarize the main methods and current content of computational RNomics.     

细菌中非编码小RNA的筛选及鉴定

细菌非编码小RNA(small non-coding RNA,sRNA)是一类长度在50-200个核苷酸,不编码蛋白质的RNA.它们通过碱基配对识别靶标mRNA,在转录后水平调节基因的表达,是细菌代谢、毒力和适应环境压力的重要调节因子.近年来,随着生物信息学和RNA组学技术应用于细菌sRNA的筛选,sRNA已被证实存在于大肠埃希杆菌(Escherichia coli),铜绿假单胞菌(Pseudomonas aeruginosa)、霍乱弧菌(Vibrio cholerae)等细菌中,是细菌基因调控中新的调节因子.本文对细菌中非编码小RNA的筛选和鉴定技术作一个简要论述.     

Experimental RNomics and genomic comparative analysis reveal a large group of species-specific small non-message RNAs in the silkworm Bombyx mori

Accumulating evidences show that small non-protein coding RNAs (ncRNAs) play important roles in development, stress response and other cellular processes. The silkworm is an important model for studies on insect genetics and control of lepidopterous pests. Here, we have performed the first systematic identification and analysis of intermediate size ncRNAs (50-500 nt) in the silkworm. We identified 189 novel ncRNAs, including 141 snoRNAs, six snRNAs, three tRNAs, one SRP and 38 unclassified ncRNAs. Forty ncRNAs showed significantly altered expression during silkworm development or across specific stage transitions. Genomic comparisons revealed that 123 of these ncRNAs are potentially silkworm-specific. Analysis of the genomic organization of the ncRNA loci showed that 32.62% of the novel snoRNA loci are intergenic, and that all the intronic snoRNAs follow the pattern of one-snoRNA-per-intron. Target site analysis predicted a total of 95 2'-O-methylation and pseudouridylation modification sites of rRNAs, snRNAs and tRNAs. Together, these findings provide new clues for future functional study of ncRNA during insect development and evolution.     

Illuminating the silence: understanding the structure and function of small RNAs

RNA interference (RNAi) is triggered by double-stranded RNA helices that have been introduced exogenously into cells as small interfering (si)RNAs or that have been produced endogenously from small non-coding RNAs known as microRNAs (miRNAs). RNAi has become a standard experimental tool and its therapeutic potential is being aggressively harnessed. Understanding the structure and function of small RNAs, such as siRNAs and miRNAs, that trigger RNAi has shed light on the RNAi machinery. In particular, it has highlighted the assembly and function of the RNA-induced silencing complex (RISC), and has provided guidelines to efficiently silence genes for biological research and therapeutic applications of RNAi.     

Non-coding RNAs: lessons from the small nuclear and small nucleolar RNAs

Recent advances have fuelled rapid growth in our appreciation of the tremendous number, diversity and biological importance of non-coding (nc)RNAs. Because ncRNAs typically function as ribonucleoprotein (RNP) complexes and not as naked RNAs, understanding their biogenesis is crucial to comprehending their regulation and function. The small nuclear and small nucleolar RNPs are two well studied classes of ncRNPs with elaborate assembly and trafficking pathways that provide paradigms for understanding the biogenesis of other ncRNPs.     

Computational RNomics: Structure identification and functional prediction of non-coding RNAs <Emphasis Type="Italic">in silico</Emphasis>

The eukaryotic genome contains varying numbers of non-coding RNA(ncRNA) genes.Computational RNomics takes a multidisciplinary approach,like information science,to resolve the structure and function of ncRNAs.Here,we review the main issues in Computational RNomics of data storage and management,ncRNA gene identification and characterization,ncRNA target identification and functional prediction,and we summarize the main methods and current content of computational RNomics.     

Small RNAs: classification, biogenesis, and function

Eukaryotes produce various types of small RNAs of 19-28 nt in length. With rapidly increasing numbers of small RNAs listed in recent years, we have come to realize how widespread their functions are and how diverse the biogenesis pathways have evolved. At the same time, we are beginning to grasp the common features and rules governing the key steps in small RNA pathways. In this review, I will summarize the current classification, biogenesis, action mechanism and function of these fascinating molecules.     

Comparative RNomics and modomics in Mollicutes: prediction of gene function and evolutionary implications

Stable RNAs are central to protein synthesis. Ribosomal RNAs make the core of the ribosome and provide the scaffold for accurate translation of mRNAs by a set of tRNA molecules each carrying an activated amino acid. To fulfill these important cellular functions, both rRNA and tRNA molecules require more than the four canonical bases and have recruited enzymes that introduce numerous modifications on nucleosides. Mollicutes are parasitic unicellular bacteria that originated from gram-positive bacteria by considerably reducing their genome, reaching a minimal size of 480 kb in Mycoplasma genitalium. By analyzing the complete set of tRNA isoacceptors (tRNomics) and predicting the tRNA/rRNA modification enzymes (Modomics) among all sequenced Mollicutes (15 in all), our goal is to predict the minimal set of RNA modifications needed to sustain accurate translation of the cell's genetic information. Building on the known phylogenetic relationship of the 15 Mollicutes analyzed, we demonstrate that the solutions to reducing the RNA component of the translation apparatus vary from one Mollicute to the other and often rely on co-evolution of specific tRNA isoacceptors and RNA modification enzymes. This analysis also reveals that only a few modification enzymes acting on nucleotides of the anticodon loop in tRNA (the wobble position 34 as well as in position 37, 3'-adjacent to anticodon) and of the peptidyltransferase center of 23S rRNA appear to be absolutely essential and resistant to gene loss during the evolutionary process of genome reduction.