ArticleBMC genomics2017
Identification of 15 candidate structured noncoding RNA motifs in fungi by comparative genomics.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 55 citations in OpenAlex.
- Mammalian therapeutic riboswitches: Engineering and custom ligands.Molecular therapy. Nucleic acids · 2026Review
- Integration of the hammerhead ribozyme into structured RNAs to measure ligand-binding events for riboswitch candidates and aptamers.Acta biochimica et biophysica Sinica · 2025Article
- Structure and ion-dependent folding of k-junctions.RNA (New York, N.Y.) · 2023Article
- Thirteen dubious ways to detect conserved structural RNAs.IUBMB life · 2023Article
- Discovering riboswitches: the past and the future.Trends in biochemical sciences · 2023Review
- Structure-based screening for functional non-coding RNAs in fission yeast identifies a factor repressing untimely initiation of sexual differentiation.Nucleic acids research · 2022Article
- Discovery of 17 conserved structural RNAs in fungi.Nucleic acids research · 2021Article
- Identification of 11 candidate structured noncoding RNA motifs in humans by comparative genomics.BMC genomics · 2021Article
- Former orphan riboswitches reveal unexplored areas of bacterial metabolism, signaling, and gene control processes.RNA (New York, N.Y.) · 2020Review
- NKX2-1-AS1 negatively regulates CD274/PD-L1, cell-cell interaction genes, and limits human lung carcinoma cell migration.Scientific reports · 2018Article
- Identification of receptors for UNCG and GNRA Z-turns and their occurrence in rRNA.Nucleic acids research · 2018Article
- Computational Methods for Modeling Aptamers and Designing Riboswitches.International journal of molecular sciences · 2017Review
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundWith the development of rapid and inexpensive DNA sequencing, the genome sequences of more than 100 fungal species have been made available. This dataset provides an excellent resource for comparative genomics analyses, which can be used to discover genetic elements, including noncoding RNAs (ncRNAs). Bioinformatics tools similar to those used to uncover novel ncRNAs in bacteria, likewise, should be useful for searching fungal genomic sequences, and the relative ease of genetic experiments with some model fungal species could facilitate experimental validation studies.
resultsWe have adapted a bioinformatics pipeline for discovering bacterial ncRNAs to systematically analyze many fungal genomes. This comparative genomics pipeline integrates information on conserved RNA sequence and structural features with alternative splicing information to reveal fungal RNA motifs that are candidate regulatory domains, or that might have other possible functions. A total of 15 prominent classes of structured ncRNA candidates were identified, including variant HDV self-cleaving ribozyme representatives, atypical snoRNA candidates, and possible structured antisense RNA motifs. Candidate regulatory motifs were also found associated with genes for ribosomal proteins, S-adenosylmethionine decarboxylase (SDC), amidase, and HexA protein involved in Woronin body formation. We experimentally confirm that the variant HDV ribozymes undergo rapid self-cleavage, and we demonstrate that the SDC RNA motif reduces the expression of SAM decarboxylase by translational repression. Furthermore, we provide evidence that several other motifs discovered in this study are likely to be functional ncRNA elements.
conclusionsSystematic screening of fungal genomes using a computational discovery pipeline has revealed the existence of a variety of novel structured ncRNAs. Genome contexts and similarities to known ncRNA motifs provide strong evidence for the biological and biochemical functions of some newly found ncRNA motifs. Although initial examinations of several motifs provide evidence for their likely functions, other motifs will require more in-depth analysis to reveal their functions.
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