Evidence map›Paper›PMID 33146390›Full record

ArticleMolecular biology and evolution2021

Characterizing Transcriptional Regulatory Sequences in Coronaviruses and Their Role in Recombination.

Yiyan Yang, Wei Yan, A Brantley Hall, Xiaofang Jiang

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
1.2field-weighted citation impact, top 11% 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

45 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Hidden Markov models detect recombination and ancestry of SARS-CoV-2.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Patterns of Recombination in Coronaviruses.International journal of molecular sciences · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. The coronavirus recombination pathway.Cell host & microbe · 2023
    Review
  18. Article
  19. Article
  20. Classification, replication, and transcription ofFrontiers in microbiology · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yiyan YangNational Library of Medicine, National Institutes of Health, Bethesda, MD.
Wei YanNational Library of Medicine, National Institutes of Health, Bethesda, MD.
A Brantley HallDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD.
Xiaofang JiangNational Library of Medicine, National Institutes of Health, Bethesda, MD.
National Institutes of Health · USUniversity of Maryland, College Park · US

Funding

Comparative genomic analysis of bacteria speciesZIALM202010 · NLM · NATIONAL LIBRARY OF MEDICINE · PI JIANG, XIAOFANG · 2020 to 2025
$6.9M
Coronavirus genomics and bioinformatics analysisZIALM202009 · NLM · NATIONAL LIBRARY OF MEDICINE · PI JIANG, XIAOFANG · 2020 to 2021
$209k
Intramural NIH HHS
6 · The paper itself

Abstract

Novel coronaviruses, including SARS-CoV-2, SARS, and MERS, often originate from recombination events. The mechanism of recombination in RNA viruses is template switching. Coronavirus transcription also involves template switching at specific regions, called transcriptional regulatory sequences (TRS). It is hypothesized but not yet verified that TRS sites are prone to recombination events. Here, we developed a tool called SuPER to systematically identify TRS in coronavirus genomes and then investigated whether recombination is more common at TRS. We ran SuPER on 506 coronavirus genomes and identified 465 TRS-L and 3,509 TRS-B. We found that the TRS-L core sequence (CS) and the secondary structure of the leader sequence are generally conserved within coronavirus genera but different between genera. By examining the location of recombination breakpoints with respect to TRS-B CS, we observed that recombination hotspots are more frequently colocated with TRS-B sites than expected.

Indexed as

Genome, ViralRecombination, GeneticRegulatory Sequences, Nucleic AcidCoronavirusModels, GeneticNucleic Acid ConformationPhylogenyRNA, MessengerRNA-SeqRNA, ViralSARS-CoV-2Transcription, GeneticRNA, MessengerRNA, ViralKey words: coronavirusrecombinationtranscriptional regulatory sequences (TRS)

Identifiers

PMID33146390
PMCPMC7665640
OpenAlexW3097479846

What OpenQuestion holds

Textmetadata
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.