Evidence map›Paper›PMID 34830122›Full record

ArticleInternational journal of molecular sciences2021

Polycistronic Artificial microRNA-Mediated Resistance to Cucumber Green Mottle Mosaic Virus in Cucumber.

Shuo Miao, Chaoqiong Liang, Jianqiang Li, Barbara Baker, Laixin Luo

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

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  7. RNA silencing: the future potential strategy for engineering virus resistance in plants.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
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  14. Understanding tobamovirus-plant interactions: implications for breeding resistance to tomato brown rugose fruit virus.Journal of plant pathology : an international journal of the Italian Phytopathological Society · 2023
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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

5 authors at 3 institutions in 2 countries.

Shuo MiaoCollege of Plant Protection, China Agricultural University, Beijing 100193, China.
Chaoqiong LiangShaanxi Academy of Forestry, Xi'an 712199, China.
Jianqiang LiCollege of Plant Protection, China Agricultural University, Beijing 100193, China.
Barbara BakerDepartment of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
Laixin LuoCollege of Plant Protection, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-6543-6011
China Agricultural University · CNAgricultural Research Service · USShanxi Academy of Forestry · CN

Funding

National Key Research and Development Program of China 2017YFD0201601
6 · The paper itself

Abstract

Cucumber green mottle mosaic virus (CGMMV), as a typical seed-borne virus, causes costly and devastating diseases in the vegetable trade worldwide. Genetic sources for resistance to CGMMV in cucurbits are limited, and environmentally safe approaches for curbing the accumulation and spread of seed-transmitted viruses and cultivating completely resistant plants are needed. Here, we describe the design and application of RNA interference-based technologies, containing artificial microRNA (amiRNA) and synthetic

Indexed as

Cucumis sativusMicroRNAsPlant DiseasesPlants, Genetically ModifiedRNA, PlantTobamovirusDisease ResistanceMicroRNAsRNA, Plantantiviral resistancecucumber green mottle mosaic virusCucumis sativus L.polycistronic artificial microRNARNA interferenceRNA silencing suppressorseed-borne virus

Identifiers

PMID34830122
PMCPMC8620374
OpenAlexW3213740811

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.