Evidence map›Paper›PMID 35746807›Full record

ReviewViruses2022

Detection of Ancient Viruses and Long-Term Viral Evolution.

Luca Nishimura, Naoko Fujito, Ryota Sugimoto, Ituro Inoue

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. An Adagio for Viruses, Played Out on Ancient DNA.Genome biology and evolution · 2023
    Review
  5. Review
  6. 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

4 authors at 1 institution in 1 country.

Luca NishimuraHuman Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan.ORCID 0000-0003-2144-7867
Naoko FujitoHuman Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan.
Ryota SugimotoHuman Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan.ORCID 0000-0003-4281-7871
Ituro InoueHuman Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan.
National Institute of Genetics · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 outbreak has reminded us of the importance of viral evolutionary studies as regards comprehending complex viral evolution and preventing future pandemics. A unique approach to understanding viral evolution is the use of ancient viral genomes. Ancient viruses are detectable in various archaeological remains, including ancient people's skeletons and mummified tissues. Those specimens have preserved ancient viral DNA and RNA, which have been vigorously analyzed in the last few decades thanks to the development of sequencing technologies. Reconstructed ancient pathogenic viral genomes have been utilized to estimate the past pandemics of pathogenic viruses within the ancient human population and long-term evolutionary events. Recent studies revealed the existence of non-pathogenic viral genomes in ancient people's bodies. These ancient non-pathogenic viruses might be informative for inferring their relationships with ancient people's diets and lifestyles. Here, we reviewed the past and ongoing studies on ancient pathogenic and non-pathogenic viruses and the usage of ancient viral genomes to understand their long-term viral evolution.

Indexed as

COVID-19VirusesDNA, AncientEvolution, MolecularGenome, ViralHumansDNA, Ancientancient DNAancient RNAancient viromeancient virusbioinformaticsNGSPCRTDRPviral evolution

Identifiers

PMID35746807
PMCPMC9230872
OpenAlexW4283157410

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.