Evidence map›Paper›PMID 33043646›Full record

ArticleJournal of Zhejiang University. Science. B

Highly sensitive serological approaches for Pepino mosaic virus detection.

Wan-Qin He, Jia-Yu Wu, Yi-Yi Ren, Xue-Ping Zhou, Song-Bai Zhang, Ya-Juan Qian, Fang-Fang Li, Jian-Xiang Wu

Open access · greenAbstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. mScience China. Life sciences · 2024
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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

8 authors at 4 institutions in 1 country.

Wan-Qin HeState Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China.
Jia-Yu WuDepartment of Applied Biological Science, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Yi-Yi RenDepartment of Applied Biological Science, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Xue-Ping ZhouState Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China.
Song-Bai ZhangHunan Plant Protection Institute, Chinese Academy of Agricultural Sciences, Changsha 410125, China.
Ya-Juan QianState Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China.
Fang-Fang LiState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Jian-Xiang WuState Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China.
Zhejiang University of Science and Technology · CNChina National Rice Research Institute · CNInstitute of Plant Protection · CNHunan Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pepino mosaic virus (PepMV) causes severe disease in tomato and other Solanaceous crops around globe. To effectively study and manage this viral disease, researchers need new, sensitive, and high-throughput approaches for viral detection. In this study, we purified PepMV particles from the infected Nicotiana benthamiana plants and used virions to immunize BALB/c mice to prepare hybridomas secreting anti-PepMV monoclonal antibodies (mAbs). A panel of highly specific and sensitive murine mAbs (15B2, 8H6, 23D11, 20D9, 3A6, and 8E3) could be produced through cell fusion, antibody selection, and cell cloning. Using the mAbs as the detection antibodies, we established double antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA), Dot-ELISA, and Tissue print-ELISA for detecting PepMV infection in tomato plants. Resulting data on sensitivity analysis assays showed that both DAS-ELISA and Dot-ELISA can efficiently monitor the virus in PepMV-infected tissue crude extracts when diluted at 1:1 310 720 and 1:20 480 (weight/volume ratio (w/v), g/mL), respectively. Among the three methods developed, the Tissue print-ELISA was found to be the most practical detection technique. Survey results from field samples by the established serological approaches were verified by reverse transcription polymerase chain reaction (RT-PCR) and DNA sequencing, demonstrating all three serological methods are reliable and effective for monitoring PepMV. Anti-PepMV mAbs and the newly developed DAS-ELISA, Dot-ELISA, and Tissue print-ELISA can benefit PepMV detection and field epidemiological study, and management of this viral disease, which is already widespread in tomato plants in Yunnan Province of China.

Indexed as

AnimalsAntibodies, MonoclonalChinaCloning, MolecularEnzyme-Linked Immunosorbent AssayFemaleHybridomasMiceMice, Inbred BALB CNicotianaPlant DiseasesPotexvirusSensitivity and SpecificitySolanum lycopersicumAntibodies, MonoclonalPepino mosaic virus; Monoclonal antibody; Serological method; Double antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA); Dot-ELISA; Tissue print-ELISA

Identifiers

PMID33043646
PMCPMC7606197
OpenAlexW3092553584

What OpenQuestion holds

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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.