Evidence map›Paper›PMID 40173013›Full record

ArticleNucleic acids research2025

A method for in-depth analysis of circular DNA virus populations by unambiguously profiling the low abundant virus variants and partial genomic components.

Victor Golyaev, Sam Dierickx, Koen Deforche, Wim Dumon, Hervé Vanderschuren

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Victor GolyaevTropical Crop Improvement Laboratory, Crop Biotechnics, Department of Biosystems, KU Leuven, Leuven 3001, Belgium.ORCID 0009-0004-3294-4214
Sam DierickxEmweb BV, Herent 3020, Belgium.
Koen DeforcheEmweb BV, Herent 3020, Belgium.
Wim DumonEmweb BV, Herent 3020, Belgium.
Hervé VanderschurenTropical Crop Improvement Laboratory, Crop Biotechnics, Department of Biosystems, KU Leuven, Leuven 3001, Belgium.ORCID 0000-0003-2102-9737

Funding

Horizon 2020 Framework Programme 101000570KU Leuven 3E210538
6 · The paper itself

Abstract

Severe epidemic outbreaks of diseases associated with newly emerging strains of single-stranded DNA (ssDNA) viruses have led to serious economic losses of numerous important food crops. While the current mitigation strategies are mostly relying on the deployment of genetic resistance in crop varieties, the constantly evolving virus populations have the potential to rapidly break virus resistance. Therefore, the development of diagnostic tools enabling early detection of virus variants associated with hypervirulence and/or expansion to new host species is urgently needed as an effective mitigation solution. Here, we introduce a novel approach by designing a pipeline that allows accurately identifying and characterizing the full-length sequence variants of viral circular DNA genomes utilizing Nanopore sequencing technology and the bioinformatics tool Genome Detective. We demonstrate that the pipeline is suitable to provide an accurate and in-depth analysis of monopartite Tomato yellow leaf curl Sardinia virus (TYLCSV) and multipartite Banana bunchy top virus (BBTV) ssDNA virus populations resulting in the profiling of high- and low-frequency virus variants with ≥1% relative abundance. The approach also enabled the unambiguous detection and characterization of four TYLCSV partial genomic sequences as well as several partial genomic sequences for each BBTV genomic component not previously reported and accumulating during infection.

Indexed as

BabuvirusBegomovirusDNA, CircularDNA VirusesGenome, ViralDNA, ViralGenetic VariationGenomicsNanopore SequencingPlant DiseasesSolanum lycopersicumDNA, CircularDNA, Viral

Identifiers

PMID40173013
PMCPMC11963754

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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.