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Secondary structure impacts patterns of selection in human lncRNAs

Overview of attention for article published in BMC Biology, July 2016
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Title
Secondary structure impacts patterns of selection in human lncRNAs
Published in
BMC Biology, July 2016
DOI 10.1186/s12915-016-0283-0
Pubmed ID
Authors

Cinta Pegueroles, Toni Gabaldón

Abstract

Metazoans transcribe many long non-coding RNAs (lncRNAs) that are poorly conserved and whose function remains unknown. This has raised the questions of what fraction of the predicted lncRNAs is actually functional, and whether selection can effectively constrain lncRNAs in species with small effective population sizes such as human populations. Here we evaluate signatures of selection in human lncRNAs using inter-specific data and intra-specific comparisons from five major populations, as well as by assessing relationships between sequence variation and predictions of secondary structure. In all analyses we included a reference of functionally characterized lncRNAs. Altogether, our results show compelling evidence of recent purifying selection acting on both characterized and predicted lncRNAs. We found that RNA secondary structure constrains sequence variation in lncRNAs, so that polymorphisms are depleted in paired regions with low accessibility and tend to be neutral with respect to structural stability. Important implications of our results are that secondary structure plays a role in the functionality of lncRNAs, and that the set of predicted lncRNAs contains a large fraction of functional ones that may play key roles that remain to be discovered.

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The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Sweden 1 1%
Belgium 1 1%
Unknown 88 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 25%
Student > Ph. D. Student 19 21%
Student > Master 13 14%
Student > Bachelor 7 8%
Student > Postgraduate 4 4%
Other 10 11%
Unknown 15 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 41%
Agricultural and Biological Sciences 26 29%
Chemical Engineering 1 1%
Environmental Science 1 1%
Mathematics 1 1%
Other 6 7%
Unknown 19 21%