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Conservation and losses of avian non-coding RNA loci

Genomics · Submitted 27 Jun 2014

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim These combined results illustrate the utility of applying homology-based methods for annotating novel vertebrate genomes.

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arXiv ID1406.7140 (version 1)
Pith ID23LIFW54, Pith's permanent record of this paper and its review
CitationJana Hertel, Maria Ninova, Mario Fasold, Paul P. Gardner, Peter F. Stadler, Sam Griffiths-Jones, Sarah W. Burge, Stephanie Kehr, Tammy E. Steeves. "Conservation and losses of avian non-coding RNA loci." arXiv:1406.7140 (2014). https://pith.science/paper/23LIFW54
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What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.90 · human participants 0.01 · controlled comparison 0.11 · randomized assignment 0.01 · states quantitative result 0.76 · compares with prior results 0.54 · mentions code or data availability 0.03.

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arXiv listing abstract v1. Results and the main claim are underlined; .

Here we present the results of a large-scale bioinformatic 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 show that a number of lncRNA-associated loci are conserved between birds and mammals, including several intriguing cases where the reported mammalian lncRNA function is not conserved in birds. 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 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.

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#sentencerolethe authors' own workstates the main conclusionstrength
s0 Here we present the results of a large-scale bioinformatic annotation of non-coding RNA loci in 48 avian genomes. contribution 0.99 0.96 0.05 asserted 0.92
s1 Our approach uses probabilistic models of hand-curated families from the Rfam database to infer conserved RNA families within each avian genome. method 1.00 0.84 0.03 asserted 0.98
s2 We supplement these annotations with predictions from the tRNA annotation tool, tRNAscan-SE and microRNAs from miRBase. method 1.00 0.83 0.02 asserted 0.94
s3 We show that a number of lncRNA-associated loci are conserved between birds and mammals, including several intriguing cases where the reported mammalian lncRNA function is not conserved in birds. result 1.00 0.94 0.22 asserted 1.00
s4 We also demonstrate extensive conservation of classical ncRNAs (e.g., tRNAs) and more recently discovered ncRNAs (e.g., snoRNAs and miRNAs) in birds. result 1.00 0.93 0.19 asserted 1.00
s5 Furthermore, we describe numerous "losses" of several RNA families, and attribute these to genuine loss, divergence or missing data. result 0.97 0.94 0.17 asserted 0.93
s6 In particular, we show that many of these losses are due to the challenges associated with assembling Avian microchromosomes. interpretation 0.75 0.91 0.09 asserted 1.00
s7 These combined results illustrate the utility of applying homology-based methods for annotating novel vertebrate genomes. interpretation 1.00 0.52 0.49 asserted 0.95

What kind of paper the classifier reports this is: dataset or benchmark 0.49 · evidence from analysis of existing data 0.76.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Here we present the results of a large-scale bioinformatic 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 show that a number of lncRNA-associated loci are conserved between birds and mammals, including several intriguing cases where the reported mammalian lncRNA function is not conserved in birds. 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 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.

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