Evidence map›Paper›PMID 37888981›Full record

ArticleJournal of virology2023

Benchmarking of virome metagenomic analysis approaches using a large, 60+ members, viral synthetic community.

Deborah Schönegger, Oumaima Moubset, Paolo Margaria, Wulf Menzel, Stephan Winter, Philippe Roumagnac, Armelle Marais, Thierry Candresse

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.6field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Deborah SchöneggerUniv. Bordeaux, INRAE, UMR BFP , Villenave d'Ornon, France.
Oumaima MoubsetCIRAD, UMR PHIM , Montpellier, France.
Paolo MargariaPlant Virus Department, Leibniz-Institute DSMZ , Braunschweig, Germany.
Wulf MenzelPlant Virus Department, Leibniz-Institute DSMZ , Braunschweig, Germany.
Stephan WinterPlant Virus Department, Leibniz-Institute DSMZ , Braunschweig, Germany.
Philippe RoumagnacCIRAD, UMR PHIM , Montpellier, France.
Armelle MaraisUniv. Bordeaux, INRAE, UMR BFP , Villenave d'Ornon, France.
Thierry CandresseUniv. Bordeaux, INRAE, UMR BFP , Villenave d'Ornon, France.ORCID 0000-0001-9757-1835
Leibniz Association · DEUniversité de Bordeaux · FRCentre de Coopération Internationale en Recherche Agronomique pour le Développement · FR

Funding

Agence Nationale de la Recherche (ANR) ANR-19-CE35-0008-02EC | Horizon 2020 Framework Programme (H2020) 871029EC | Horizon 2020 Framework Programme (H2020) GA 813542
6 · The paper itself

Abstract

importanceWe report here efforts to benchmark performance of two widespread approaches for virome analysis, which target either virion-associated nucleic acids (VANA) or highly purified double-stranded RNAs (dsRNAs). This was achieved using synthetic communities of varying complexity levels, up to a highly complex community of 72 viral agents (115 viral molecules) comprising isolates from 21 families and 61 genera of plant viruses. The results obtained confirm that the dsRNA-based approach provides a more complete representation of the RNA virome, in particular, for high complexity ones. However, for viromes of low to medium complexity, VANA appears a reasonable alternative and would be the preferred choice if analysis of DNA viruses is of importance. Several parameters impacting performance were identified as well as a direct relationship between the completeness of virome description and sample sequencing depth. The strategy, results, and tools used here should prove useful in a range of virome analysis efforts.

Indexed as

MetagenomicsSynthetic BiologyViromeVirusesDNA VirusesPlant VirusesRNA, Double-StrandedVirionRNA, Double-Strandeddouble-stranded RNAdsRNAhigh-thropughput sequencingmetagenomesynthetic communityVANAvirome

Identifiers

PMID37888981
PMCPMC10688312
OpenAlexW4387964950

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.