Evidence map›Paper›PMID 37765420›Full record

ArticlePlants (Basel, Switzerland)2023

Investigating Variability in Viral Presence and Abundance across Soybean Seed Development Stages Using Transcriptome Analysis.

Hoseong Choi, Yeonhwa Jo, Hyunjung Chung, Soo Yeon Choi, Sang-Min Kim, Jin-Sung Hong, Bong Choon Lee, Won Kyong Cho

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Exploring the Peanut Viromes Across 15 Cultivars in Korea.International journal of molecular sciences · 2026
    Article
  2. Article
  3. 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

8 authors.

Hoseong ChoiPlant Health Center, Seoul National University, Seoul 08826, Republic of Korea.
Yeonhwa JoCollege of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Hyunjung ChungCrop Foundation Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea.
Soo Yeon ChoiCrop Foundation Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea.
Sang-Min KimCrop Foundation Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea.
Jin-Sung HongDepartment of Applied Biology, Kangwon National University, Chuncheon 24341, Republic of Korea.
Bong Choon LeeCrop Protection Division, National Academy of Agricultural Science, Rural Development Administration, Wanju 55365, Republic of Korea.
Won Kyong ChoCollege of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.ORCID 0000-0002-8416-5173

Funding

Rural Development Administration No. PJ01498301
6 · The paper itself

Abstract

Plant transcriptomes offer a valuable resource for studying viral communities (viromes). In this study, we explore how plant transcriptome data can be applied to virome research. We analyzed 40 soybean transcriptomes across different growth stages and identified six viruses: broad bean wilt virus 2 (BBWV2), brassica yellow virus (BrYV), beet western yellow virus (BWYV), cucumber mosaic virus (CMV), milk vetch dwarf virus (MDV), and soybean mosaic virus (SMV). SMV was the predominant virus in both

Indexed as

soybean seed developmenttranscriptome analysisviral load shiftsviromesvirus

Identifiers

PMID37765420
PMCPMC10535271

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.