Evidence map›Paper›PMID 42536258›Full record

ArticleVirus genes2026

Molecular characterization and complete genome of a putative novel Vigna Yellow Mottle Soymovirus infecting wild red cowpea (Vigna angularis var. nipponensis).

Mesele Tilahun Belete, Seong-Jin Lee, Seungmo Lim

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Article in Virus genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Mesele Tilahun BeletePlant Quarantine Technology Center, Department of Plant Quarantine, Animal and Plant Quarantine Agency, Gimcheon, 39660, Republic of Korea.
Seong-Jin LeePlant Quarantine Technology Center, Department of Plant Quarantine, Animal and Plant Quarantine Agency, Gimcheon, 39660, Republic of Korea.
Seungmo LimPlant Quarantine Technology Center, Department of Plant Quarantine, Animal and Plant Quarantine Agency, Gimcheon, 39660, Republic of Korea. truth0424@korea.kr.

Funding

Animal and Plant Quarantine Agency, Ministry of Agriculture, Food and Rural Affairs project no. PQ20241A019
6 · The paper itself

Abstract

Wild red cowpea (Vigna angularis var. nipponensis) plants exhibiting systemic chlorotic mottles and mosaic patterns on trifoliate leaves were identified during a virus survey in South Korea. High-throughput sequencing of symptomatic leaf samples generated contigs related to members of the genus Soymovirus (family Caulimoviridae). The complete circular double-stranded DNA genome was subsequently determined and validated by PCR amplification and Sanger sequencing. The virus genome is 8,892-nt in length and was tentatively named Vigna yellow mottle soymovirus (VYMSV). Its genomic organization, including primer binding sites, gene arrangement, and open reading frame (ORF) sizes, is largely consistent with those of other soymoviruses, except that ORFI is split into three segments (Ia, Ib, and Ic). The genome contains 10 putative ORFs encoding a movement protein, a coat protein, a replicase polyprotein, a translational activator, and proteins of unknown functions. Pairwise nucleotide sequence comparisons of the reverse transcriptase and RNase H region showed 69.9% identity with Soybean chlorotic mottle virus, consistent with ICTV species demarcation criteria; phylogenetic analysis further corroborated a close evolutionary relationship. Based on these molecular and phylogenetic data, VYMSV represents a putative novel species belonging to the genus Soymovirus. This study expands the known diversity of soymoviruses infecting wild legumes and provides genomic resources for future detection and epidemiological investigations.

Indexed as

CaulimoviridaeGenome, ViralPlant DiseasesVignaHigh-Throughput Nucleotide SequencingOpen Reading FramesPhylogenyRepublic of KoreaSequence Analysis, DNACaulimoviridaeHigh-throughput sequencingMolecular characterization.Vigna yellow mottle soymovirusWild red cowpea.

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Registered trials

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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.