Evidence map›Paper›PMID 38622686›Full record

ArticleVirology journal2024

Deciphering the virome of Chunkung (Cnidium officinale) showing dwarfism-like symptoms via a high-throughput sequencing analysis.

Mesele Tilahun Belete, Se Eun Kim, Workitu Firmosa Gudeta, Davaajargal Igori, Jeong A Kwon, Su-Heon Lee, Jae Sun Moon

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 3 countries.

Mesele Tilahun Belete *Biosystem and Bioengineering Program, University of Science and Technology (UST), Daejeon, 34141, Republic of Korea.
Se Eun Kim *Plant System Engineering Research Center, Korean Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Workitu Firmosa GudetaBiosystem and Bioengineering Program, University of Science and Technology (UST), Daejeon, 34141, Republic of Korea.
Davaajargal IgoriPlant System Engineering Research Center, Korean Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Jeong A KwonBiosystem and Bioengineering Program, University of Science and Technology (UST), Daejeon, 34141, Republic of Korea.
Su-Heon LeeSchool of Applied Bioscience, College of Agriculture and Life Sciences, Kyungpook National University, Daegu, 98411, Republic of Korea. suheon@knu.ac.kr.
Jae Sun MoonBiosystem and Bioengineering Program, University of Science and Technology (UST), Daejeon, 34141, Republic of Korea. jsmoon@kribb.re.kr.
Korea Research Institute of Bioscience and Biotechnology · KRKorea University of Science and Technology · KRAmhara Regional Agricultural Research Institute · ETKyungpook National University · KR

Funding

Korea Research Institute of Bioscience and Biotechnology (KRIBB) Research Initiative Program Project No. KGM5372322
6 · The paper itself

Abstract

backgroundViruses have notable effects on agroecosystems, wherein they can adversely affect plant health and cause problems (e.g., increased biosecurity risks and economic losses). However, our knowledge of their diversity and interactions with specific host plants in ecosystems remains limited. To enhance our understanding of the roles that viruses play in agroecosystems, comprehensive analyses of the viromes of a wide range of plants are essential. High-throughput sequencing (HTS) techniques are useful for conducting impartial and unbiased investigations of plant viromes, ultimately forming a basis for generating further biological and ecological insights. This study was conducted to thoroughly characterize the viral community dynamics in individual plants.

resultsAn HTS-based virome analysis in conjunction with proximity sampling and a tripartite network analysis were performed to investigate the viral diversity in chunkung (Cnidium officinale) plants. We identified 61 distinct chunkung plant-associated viruses (27 DNA and 34 RNA viruses) from 21 known genera and 6 unclassified genera in 14 known viral families. Notably, 12 persistent viruses (7 DNA and 5 RNA viruses) were exclusive to dwarfed chunkung plants. The detection of viruses from the families Partitiviridae, Picobirnaviridae, and Spinareoviridae only in the dwarfed plants suggested that they may contribute to the observed dwarfism. The co-infection of chunkung by multiple viruses is indicative of a dynamic and interactive viral ecosystem with significant sequence variability and evidence of recombination.

conclusionsWe revealed the viral community involved in chunkung. Our findings suggest that chunkung serves as a significant reservoir for a variety of plant viruses. Moreover, the co-infection rate of individual plants was unexpectedly high. Future research will need to elucidate the mechanisms enabling several dozen viruses to co-exist in chunkung. Nevertheless, the important insights into the chunkung virome generated in this study may be relevant to developing effective plant viral disease management and control strategies.

Indexed as

CoinfectionDwarfismPlant VirusesRNA VirusesCnidiumDNAEcosystemHigh-Throughput Nucleotide SequencingHumansPhylogenyRNA, ViralViromeDNARNA, ViralCnidium officinaleDwarfedHTSPlant virusProximity samplingViral diversityVirome

Identifiers

PMID38622686
PMCPMC11017662
OpenAlexW4394811968

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.