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Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes

Morphospaces—representations of phenotypic characteristics—are often populated unevenly, leaving large parts unoccupied. Such patterns are typically ascribed to contingency, or else to natural selection disfavoring certain parts of the morphospace. The extent to which developmental bias, the tendenc...

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Detalles Bibliográficos
Autores principales: Dingle, Kamaludin, Ghaddar, Fatme, Šulc, Petr, Louis, Ard A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763027/
https://www.ncbi.nlm.nih.gov/pubmed/34542628
http://dx.doi.org/10.1093/molbev/msab280
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author Dingle, Kamaludin
Ghaddar, Fatme
Šulc, Petr
Louis, Ard A
author_facet Dingle, Kamaludin
Ghaddar, Fatme
Šulc, Petr
Louis, Ard A
author_sort Dingle, Kamaludin
collection PubMed
description Morphospaces—representations of phenotypic characteristics—are often populated unevenly, leaving large parts unoccupied. Such patterns are typically ascribed to contingency, or else to natural selection disfavoring certain parts of the morphospace. The extent to which developmental bias, the tendency of certain phenotypes to preferentially appear as potential variation, also explains these patterns is hotly debated. Here we demonstrate quantitatively that developmental bias is the primary explanation for the occupation of the morphospace of RNA secondary structure (SS) shapes. Upon random mutations, some RNA SS shapes (the frequent ones) are much more likely to appear than others. By using the RNAshapes method to define coarse-grained SS classes, we can directly compare the frequencies that noncoding RNA SS shapes appear in the RNAcentral database to frequencies obtained upon a random sampling of sequences. We show that: 1) only the most frequent structures appear in nature; the vast majority of possible structures in the morphospace have not yet been explored; 2) remarkably small numbers of random sequences are needed to produce all the RNA SS shapes found in nature so far; and 3) perhaps most surprisingly, the natural frequencies are accurately predicted, over several orders of magnitude in variation, by the likelihood that structures appear upon a uniform random sampling of sequences. The ultimate cause of these patterns is not natural selection, but rather a strong phenotype bias in the RNA genotype–phenotype map, a type of developmental bias or “findability constraint,” which limits evolutionary dynamics to a hugely reduced subset of structures that are easy to “find.”
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spelling pubmed-87630272022-01-18 Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes Dingle, Kamaludin Ghaddar, Fatme Šulc, Petr Louis, Ard A Mol Biol Evol Discoveries Morphospaces—representations of phenotypic characteristics—are often populated unevenly, leaving large parts unoccupied. Such patterns are typically ascribed to contingency, or else to natural selection disfavoring certain parts of the morphospace. The extent to which developmental bias, the tendency of certain phenotypes to preferentially appear as potential variation, also explains these patterns is hotly debated. Here we demonstrate quantitatively that developmental bias is the primary explanation for the occupation of the morphospace of RNA secondary structure (SS) shapes. Upon random mutations, some RNA SS shapes (the frequent ones) are much more likely to appear than others. By using the RNAshapes method to define coarse-grained SS classes, we can directly compare the frequencies that noncoding RNA SS shapes appear in the RNAcentral database to frequencies obtained upon a random sampling of sequences. We show that: 1) only the most frequent structures appear in nature; the vast majority of possible structures in the morphospace have not yet been explored; 2) remarkably small numbers of random sequences are needed to produce all the RNA SS shapes found in nature so far; and 3) perhaps most surprisingly, the natural frequencies are accurately predicted, over several orders of magnitude in variation, by the likelihood that structures appear upon a uniform random sampling of sequences. The ultimate cause of these patterns is not natural selection, but rather a strong phenotype bias in the RNA genotype–phenotype map, a type of developmental bias or “findability constraint,” which limits evolutionary dynamics to a hugely reduced subset of structures that are easy to “find.” Oxford University Press 2021-09-20 /pmc/articles/PMC8763027/ /pubmed/34542628 http://dx.doi.org/10.1093/molbev/msab280 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Discoveries
Dingle, Kamaludin
Ghaddar, Fatme
Šulc, Petr
Louis, Ard A
Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes
title Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes
title_full Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes
title_fullStr Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes
title_full_unstemmed Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes
title_short Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes
title_sort phenotype bias determines how natural rna structures occupy the morphospace of all possible shapes
topic Discoveries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763027/
https://www.ncbi.nlm.nih.gov/pubmed/34542628
http://dx.doi.org/10.1093/molbev/msab280
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