Evidence map›Paper›PMID 34074304›Full record

ArticleAlgorithms for molecular biology : AMB2021

The energy-spectrum of bicompatible sequences.

Fenix W Huang, Christopher L Barrett, Christian M Reidys

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Article in Algorithms for molecular biology : AMB, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Fenix W HuangBiocomplexity Institute & Initiative, University of Virginia, 995 Research Park Blvd., Suite 400, Charlottesville, VA, 22911, USA.
Christopher L BarrettBiocomplexity Institute & Initiative, University of Virginia, 995 Research Park Blvd., Suite 400, Charlottesville, VA, 22911, USA.
Christian M ReidysBiocomplexity Institute & Initiative, University of Virginia, 995 Research Park Blvd., Suite 400, Charlottesville, VA, 22911, USA. duckcr@gmail.com.ORCID http://orcid.org/0000-0003-0923-6741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenotype-phenotype maps provide a meaningful filtration of sequence space and RNA secondary structures are particular such phenotypes. Compatible sequences, which satisfy the base-pairing constraints of a given RNA structure, play an important role in the context of neutral evolution. Sequences that are simultaneously compatible with two given structures (bicompatible sequences), are beacons in phenotypic transitions, induced by erroneously replicating populations of RNA sequences. RNA riboswitches, which are capable of expressing two distinct secondary structures without changing the underlying sequence, are one example of bicompatible sequences in living organisms.

resultsWe present a full loop energy model Boltzmann sampler of bicompatible sequences for pairs of structures. The sequence sampler employs a dynamic programming routine whose time complexity is polynomial when assuming the maximum number of exposed vertices, [Formula: see text], is a constant. The parameter [Formula: see text] depends on the two structures and can be very large. We introduce a novel topological framework encapsulating the relations between loops that sheds light on the understanding of [Formula: see text]. Based on this framework, we give an algorithm to sample sequences with minimum [Formula: see text] on a particular topologically classified case as well as giving hints to the solution in the other cases. As a result, we utilize our sequence sampler to study some established riboswitches.

conclusionOur analysis of riboswitch sequences shows that a pair of structures needs to satisfy key properties in order to facilitate phenotypic transitions and that pairs of random structures are unlikely to do so. Our analysis observes a distinct signature of riboswitch sequences, suggesting a new criterion for identifying native sequences and sequences subjected to evolutionary pressure. Our free software is available at: https://github.com/FenixHuang667/Bifold .

Indexed as

Evolutionary transitionRiboswitchTopological nerve

Identifiers

PMID34074304
PMCPMC8167974

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.