Evidence map›Paper›PMID 38516656›Full record

ArticleVirus evolution2024

A tale of caution: How endogenous viral elements affect virus discovery in transcriptomic data.

Nadja Brait, Thomas Hackl, Côme Morel, Antoni Exbrayat, Serafin Gutierrez, Sebastian Lequime

Open access · goldAbstract read
In one paragraph

Article in Virus evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

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  3. Metaviromic insights into the viral community associated with Dendrobium catenatum.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
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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

6 authors at 2 institutions in 2 countries.

Nadja BraitCluster of Microbial Ecology, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen 9747 AG, The Netherlands.
Côme MorelASTRE research unit, Cirad, INRAe, Université de Montpellier, Montpellier 34398, France.
Antoni ExbrayatASTRE research unit, Cirad, INRAe, Université de Montpellier, Montpellier 34398, France.
Serafin GutierrezASTRE research unit, Cirad, INRAe, Université de Montpellier, Montpellier 34398, France.ORCID https://orcid.org/0000-0002-5277-7239
Sebastian LequimeCluster of Microbial Ecology, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen 9747 AG, The Netherlands.ORCID https://orcid.org/0000-0002-3140-0651
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale metagenomic and -transcriptomic studies have revolutionized our understanding of viral diversity and abundance. In contrast, endogenous viral elements (EVEs), remnants of viral sequences integrated into host genomes, have received limited attention in the context of virus discovery, especially in RNA-Seq data. EVEs resemble their original viruses, a challenge that makes distinguishing between active infections and integrated remnants difficult, affecting virus classification and biases downstream analyses. Here, we systematically assess the effects of EVEs on a prototypical virus discovery pipeline, evaluate their impact on data integrity and classification accuracy, and provide some recommendations for better practices. We examined EVEs and exogenous viral sequences linked to

Indexed as

endogenous viral elementmosquitoorthomyxovirusvirus discovery

Identifiers

PMID38516656
PMCPMC10956553
OpenAlexW4390389124

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.