Evidence map›Paper›PMID 35582907›Full record

ArticlemSystems2022

Putative Host-Derived Insertions in the Genomes of Circulating SARS-CoV-2 Variants.

Yiyan Yang, Keith Dufault-Thompson, Rafaela Salgado Fontenele, Xiaofang Jiang

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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, Maryland, USA.
Keith Dufault-ThompsonNational Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.
Rafaela Salgado FonteneleNational Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.
Xiaofang JiangNational Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.
National Institutes of Health · USUnited States National Library of Medicine · US

Funding

Bioinformatics Framework for Wastewater-based Surveillance of SARS-CoV-2ZIALM010023 · NLM · NATIONAL LIBRARY OF MEDICINE · PI JIANG, XIAOFANG · 2022 to 2023
$765k
6 · The paper itself

Abstract

Insertions in the SARS-CoV-2 genome have the potential to drive viral evolution, but the source of the insertions is often unknown. Recent proposals have suggested that human RNAs could be a source of some insertions, but the small size of many insertions makes this difficult to confirm. Through an analysis of available direct RNA sequencing data from SARS-CoV-2-infected cells, we show that viral-host chimeric RNAs are formed through what are likely stochastic RNA-dependent RNA polymerase template-switching events. Through an analysis of the publicly available GISAID SARS-CoV-2 genome collection, we identified two genomic insertions in circulating SARS-CoV-2 variants that are identical to regions of the human 18S and 28S rRNAs. These results provide direct evidence of the formation of viral-host chimeric sequences and the integration of host genetic material into the SARS-CoV-2 genome, highlighting the potential importance of host-derived insertions in viral evolution.

Indexed as

COVID-19SARS-CoV-2Genome, ViralHumansPandemicshost-viral chimeric readsinsertionribosomal RNASARS-CoV-2

Identifiers

PMID35582907
PMCPMC9239191
OpenAlexW4280501008

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.