Conservation and Losses of Non-Coding RNAs in Avian Genomes

Here we present the results of a large-scale bioinformatics annotation of non-coding RNA loci in 48 avian genomes. Our approach uses probabilistic models of hand-curated families from the Rfam database to infer conserved RNA families within each avian genome. We supplement these annotations with predictions from the tRNA annotation tool, tRNAscan-SE and microRNAs from miRBase. We identify 34 lncRNA-associated loci that are conserved between birds and mammals and validate 12 of these in chicken. We report several intriguing cases where a reported mammalian lncRNA, but not its function, is conserved. We also demonstrate extensive conservation of classical ncRNAs (e.g., tRNAs) and more recently discovered ncRNAs (e.g., snoRNAs and miRNAs) in birds. Furthermore, we describe numerous “losses” of several RNA families, and attribute these to either genuine loss, divergence or missing data. In particular, we show that many of these losses are due to the challenges associated with assembling avian microchromosomes. These combined results illustrate the utility of applying homology-based methods for annotating novel vertebrate genomes.     

Generation of a neuro-specific microarray reveals novel differentially expressed noncoding RNAs in mouse models for neurodegenerative diseases

We have generated a novel, neuro-specific ncRNA microarray, covering 1472 ncRNA species, to investigate their expression in different mouse models for central nervous system diseases. Thereby, we analyzed ncRNA expression in two mouse models with impaired calcium channel activity, implicated in Epilepsy or Parkinson''s disease, respectively, as well as in a mouse model mimicking pathophysiological aspects of Alzheimer''s disease. We identified well over a hundred differentially expressed ncRNAs, either from known classes of ncRNAs, such as miRNAs or snoRNAs or which represented entirely novel ncRNA species. Several differentially expressed ncRNAs in the calcium channel mouse models were assigned as miRNAs and target genes involved in calcium signaling, thus suggesting feedback regulation of miRNAs by calcium signaling. In the Alzheimer mouse model, we identified two snoRNAs, whose expression was deregulated prior to amyloid plaque formation. Interestingly, the presence of snoRNAs could be detected in cerebral spine fluid samples in humans, thus potentially serving as early diagnostic markers for Alzheimer''s disease. In addition to known ncRNAs species, we also identified 63 differentially expressed, entirely novel ncRNA candidates, located in intronic or intergenic regions of the mouse genome, genomic locations, which previously have been shown to harbor the majority of functional ncRNAs.     

Systematic identification and characterization of chicken (Gallus gallus) ncRNAs

Recent studies have demonstrated that non-coding RNAs (ncRNAs) play important roles during development and evolution. Chicken, the first genome-sequenced non-mammalian amniote, possesses unique features for developmental and evolutionary studies. However, apart from microRNAs, information on chicken ncRNAs has mainly been obtained from computational predictions without experimental validation. In the present study, we performed a systematic identification of intermediate size ncRNAs (50–500 nt) by ncRNA library construction and identified 125 chicken ncRNAs. Importantly, through the bioinformatics and expression analysis, we found the chicken ncRNAs has several novel features: (i) comparative genomic analysis against 18 sequenced vertebrate genomes revealed that the majority of the newly identified ncRNA candidates is not conserved and most are potentially bird/chicken specific, suggesting that ncRNAs play roles in lineage/species specification during evolution. (ii) The expression pattern analysis of intronic snoRNAs and their host genes suggested the coordinated expression between snoRNAs and their host genes. (iii) Several spatio-temporal specific expression patterns suggest involvement of ncRNAs in tissue development. Together, these findings provide new clues for future functional study of ncRNAs during development and evolution.     

Small nucleolar RNAs in cancer

Non-coding RNAs (ncRNAs) are important regulatory molecules involved in various physiological and cellular processes. Alterations of ncRNAs, particularly microRNAs, play crucial roles in tumorigenesis. Accumulating evidence indicates that small nucleolar RNAs (snoRNAs), another large class of small ncRNAs, are gaining prominence and more actively involved in carcinogenesis than previously thought. Some snoRNAs exhibit differential expression patterns in a variety of human cancers and demonstrate capability to affect cell transformation, tumorigenesis, and metastasis. We are beginning to comprehend the functional repercussions of snoRNAs in the development and progression of malignancy. In this review, we will describe current studies that have shed new light on the functions of snoRNAs in carcinogenesis and the potential applications for cancer diagnosis and therapy.     

Methodological obstacles in knocking down small noncoding RNAs

In the recent past, several thousand noncoding RNA (ncRNA) genes have been predicted within eukaryal genomes. However, for their functional analysis only a few high-throughput methods are currently available to knock down selected ncRNA species, such as microRNAs, which are targeted by antisense probes, termed antagomirs. We thus compared the efficiencies of four knockdown strategies, previously mainly employed for the analysis of protein-coding genes, to study the function of ncRNAs, in particular, small nucleolar RNAs (snoRNAs). Thereby, the class of snoRNAs represents one of the most abundant ncRNA species. The majority of snoRNAs has been shown to mediate nucleotide modifications by targeting ribosomal RNAs (rRNAs) through complementary antisense elements. However, some snoRNAs, termed “orphan snoRNAs,” lack telltale complementarities to rRNAs and thus their function remains elusive. We therefore applied RNA interference (RNAi), locked nucleic acid (LNA), or peptide nucleic acid antisense approaches, as well as a ribozyme-based strategy to knock down a snoRNA. As a proof of principle, we targeted the canonical U81 snoRNA, which has been shown to mediate modification of nucleotide A₃₉₁ within eukaryal 28S rRNA. Our results demonstrate that while RNAi is an unsuitable tool for snoRNA knockdown, a ribozyme-based strategy, as well as an LNA-antisense oligonucleotide approach, resulted in a decrease of U81 snoRNA expression levels up to 60%. However, no concomitant decrease in enzymatic activity of U81 snoRNA was observed, indicating that improvement of more efficient knockdown techniques for ncRNAs will be required in the future.     

Hierarchical folding of multiple sequence alignments for the prediction of structures and RNA-RNA interactions

Background  

Many regulatory non-coding RNAs (ncRNAs) function through complementary binding with mRNAs or other ncRNAs, e.g., microRNAs, snoRNAs and bacterial sRNAs. Predicting these RNA interactions is essential for functional studies of putative ncRNAs or for the design of artificial RNAs. Many ncRNAs show clear signs of undergoing compensating base changes over evolutionary time. Here, we postulate that a non-negligible part of the existing RNA-RNA interactions contain preserved but covarying patterns of interactions.     

Intronic noncoding RNAs and splicing

The gene organization of small nucleolar RNAs (snoRNAs) and microRNAs (miRNAs) varies within and among different organisms. This diversity is reflected in the maturation pathways of these small noncoding RNAs (ncRNAs). The presence of noncoding RNAs in introns has implications for the biogenesis of both mature small RNAs and host mRNA. The balance of the interactions between the processing or ribonucleoprotein assembly of intronic noncoding RNAs and the splicing process can regulate the levels of ncRNA and host mRNA. The processing of snoRNAs - both intronic and non-intronic - is well characterised in yeast, plants and animals and provides a basis for examining how intronic plant miRNAs are processed.     

Identification and analyses of miRNA genes in allotetraploid Gossypium hirsutum fiber cells based on the sequenced diploid G. raimondii genome

The plant genome possesses a large number of microRNAs（miRNAs）mainly 21-24 nucleotides in length.They play a vital role in regulation of target gene expression at various stages throughout the whole plant life cycle.Here we sequenced and analyzed～10 million non-coding RNAs（ncRNAs）derived from fiber tissue of the allotetraploid cotton（Gossypium hirsutum）1 days post-anthesis using ncRNA-seq technology.In terms of distinct reads,24 nt ncRNA is by far the dominant species,followed by 21 nt and 23 nt ncRNAs. Using ab initio prediction,we identified and characterized a total of 562 candidate miRNA gene loci on the recently assembled D₅ genome of the diploid cotton G.raimondii.Of all the 562 predicted miRNAs,22 were previously discovered in cotton species and 187 had sequence conservation and homology to homologous miRNAs of other plant species.Nucleotide bias analysis showed that the 9th and 1 st positions were significantly conserved among different types of miRNA genes.Among the 463 putative miRNA target genes,most significant up/down-regulation occurred in 10-20 days post-anthesis,indicating that miRNAs played an important role during the elongation and secondary cell wall synthesis stages of cotton fiber development.The discovery of new miRNA genes will help understand the mechanisms of miRNA generation and regulation in cotton.     

Genome-Wide and Species-Wide In Silico Screening for Intragenic MicroRNAs in Human,Mouse and Chicken

MicroRNAs (miRNAs) are non-coding RNAs (ncRNAs) involved in regulation of gene expression. Intragenic miRNAs, especially those exhibiting a high degree of evolutionary conservation, have been shown to be coordinately regulated and/or expressed with their host genes, either with synergistic or antagonistic correlation patterns. However, the degree of cross-species conservation of miRNA/host gene co-location is not known and co-expression information is incomplete and fragmented among several studies. Using the genomic resources (miRBase and Ensembl) we performed a genome-wide in silico screening (GWISS) for miRNA/host gene pairs in three well-annotated vertebrate species: human, mouse, and chicken. Approximately half of currently annotated miRNA genes resided within host genes: 53.0% (849/1,600) in human, 48.8% (418/855) in mouse, and 42.0% (210/499) in chicken, which we present in a central publicly available Catalog of intragenic miRNAs (http://www.integratomics-time.com/miR-host/catalog). The miRNA genes resided within either protein-coding or ncRNA genes, which include long intergenic ncRNAs (lincRNAs) and small nucleolar RNAs (snoRNAs). Twenty-seven miRNA genes were found to be located within the same host genes in all three species and the data integration from literature and databases showed that most (26/27) have been found to be co-expressed. Particularly interesting are miRNA genes located within genes encoding for miRNA silencing machinery (DGCR8, DICER1, and SND1 in human and Cnot3, Gdcr8, Eif4e, Tnrc6b, and Xpo5 in mouse). We furthermore discuss a potential for phenotype misattribution of miRNA host gene polymorphism or gene modification studies due to possible collateral effects on miRNAs hosted within them. In conclusion, the catalog of intragenic miRNAs and identified 27 miRNA/host gene pairs with cross-species conserved co-location, co-expression, and potential co-regulation, provide excellent candidates for further functional annotation of intragenic miRNAs in health and disease.