Evidence map›Paper›PMID 37155888›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Evolution of coronavirus frameshifting elements: Competing stem networks explain conservation and variability.

Shuting Yan, Qiyao Zhu, Jenna Hohl, Alex Dong, Tamar Schlick

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 27 citations in OpenAlex.

  1. Viral RNAs as Dual Graphs: Extending the Motif Universe of RNAs.bioRxiv : the preprint server for biology · 2026
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  2. Review
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  9. A NovelViruses · 2025
    Article
  10. Article
  11. Article
  12. Heterogeneous and multiple conformational transition pathways between pseudoknots of the SARS-CoV-2 frameshift element.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Article
  15. Ribonanza: deep learning of RNA structure through dual crowdsourcing.bioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Review
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  19. Tertiary folds of the SL5 RNA from the 5' proximal region of SARS-CoV-2 and related coronaviruses.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Shuting YanDepartment of Chemistry, New York University, New York, NY 10003.
Qiyao ZhuCourant Institute of Mathematical Sciences, New York University, New York, NY 10012.ORCID 0000-0002-9184-0683
Jenna HohlCourant Institute of Mathematical Sciences, New York University, New York, NY 10012.
Alex DongDepartment of Chemistry, New York University, New York, NY 10003.
Tamar SchlickDepartment of Chemistry, New York University, New York, NY 10003.ORCID 0000-0002-2392-2062
Courant Institute of Mathematical Sciences · USNew York University · USNew York University Shanghai · CN

Funding

Bridging Disparate Structural/Functional Scales: Multiscale Modeling of the Chromatin Fiber and RNA Tertiary StructuresR35GM122562 · NIGMS · NEW YORK UNIVERSITY · PI Tamar Schlick · 2017 to 2026
$4.6M
NIGMS NIH HHS R35 GM122562
6 · The paper itself

Abstract

The frameshifting RNA element (FSE) in coronaviruses (CoVs) regulates the programmed -1 ribosomal frameshift (-1 PRF) mechanism common to many viruses. The FSE is of particular interest as a promising drug candidate. Its associated pseudoknot or stem loop structure is thought to play a large role in frameshifting and thus viral protein production. To investigate the FSE structural evolution, we use our graph theory-based methods for representing RNA secondary structures in the RNA-As-Graphs (RAG) framework to calculate conformational landscapes of viral FSEs with increasing sequence lengths for representative 10 Alpha and 13 Beta-CoVs. By following length-dependent conformational changes, we show that FSE sequences encode many possible competing stems which in turn favor certain FSE topologies, including a variety of pseudoknots, stem loops, and junctions. We explain alternative competing stems and topological FSE changes by recurring patterns of mutations. At the same time, FSE topology robustness can be understood by shifted stems within different sequence contexts and base pair coevolution. We further propose that the topology changes reflected by length-dependent conformations contribute to tuning the frameshifting efficiency. Our work provides tools to analyze virus sequence/structure correlations, explains how sequence and FSE structure have evolved for CoVs, and provides insights into potential mutations for therapeutic applications against a broad spectrum of CoV FSEs by targeting key sequence/structural transitions.

Indexed as

CoronavirusCoronavirus InfectionsBase SequenceFrameshifting, RibosomalHumansNucleic Acid ConformationRNA, ViralRNA, Viralconformational landscapecoronavirus frameshifting elementgraph theoryRNA-As-GraphsRNA pseudoknot

Identifiers

PMID37155888
PMCPMC10193956
OpenAlexW4375955346

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.