Evidence map›Paper›PMID 35678056›Full record

ArticleThe plant pathology journal2022

Detection and Quantification of Fusarium oxysporum f. sp. niveum Race 1 in Plants and Soil by Real-time PCR.

Xin Zhong, Yang Yang, Jing Zhao, Binbin Gong, Jingrui Li, Xiaolei Wu, Hongbo Gao, Guiyun Lü

Open access · goldAbstract read
In one paragraph

Article in The plant pathology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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 1 institution in 1 country.

Xin ZhongCollege of Horticulture, Hebei Agricultural University, Baoding 071001, China.
Yang YangCollege of Horticulture, Hebei Agricultural University, Baoding 071001, China.
Jing ZhaoCollege of Horticulture, Hebei Agricultural University, Baoding 071001, China.
Binbin GongCollege of Horticulture, Hebei Agricultural University, Baoding 071001, China.
Jingrui LiCollege of Horticulture, Hebei Agricultural University, Baoding 071001, China.
Xiaolei WuCollege of Horticulture, Hebei Agricultural University, Baoding 071001, China.
Hongbo GaoCollege of Horticulture, Hebei Agricultural University, Baoding 071001, China.
Guiyun LüCollege of Horticulture, Hebei Agricultural University, Baoding 071001, China.
Hebei Agricultural University · CN

Funding

Hebei Facility Vegetables Innovation Team of Modern Agro-industry Technology HBCT2021030213National Nature Science Foundation of China 31872132The Key Research Projects of Hebei 21626901D
6 · The paper itself

Abstract

Fusarium wilt caused by Fusarium oxysporum f. sp. niveum (Fon) is the most serious soil-borne disease in the world and has become the main limiting factor of watermelon production. Reliable and quick detection and quantification of Fon are essential in the early stages of infection for control of watermelon Fusarium wilt. Traditional detection and identification tests are laborious and cannot efficiently quantify Fon isolates. In this work, a real-time polymerase chain reaction (PCR) assay has been described to accurately identify and quantify Fon in watermelon plants and soil. The FONRT-18 specific primer set which was designed based on identified specific sequence amplified a specific 172 bp band from Fon and no amplification from the other formae speciales of Fusarium oxysporum tested. The detection limits with primers were 1.26 pg/µl genomic DNA of Fon, 0.2 pg/ng total plant DNA in inoculated plant, and 50 conidia/g soil. The PCR assay could also evaluate the relationships between the disease index and Fon DNA quantity in watermelon plants and soil. The assay was further used to estimate the Fon content in soil after disinfection with CaCN2. The real-time PCR method is rapid, accurate and reliable for monitoring and quantification analysis of Fon in watermelon plants and soil. It can be applied to the study of disease diagnosis, plant-pathogen interactions, and effective management.

Indexed as

Fusarium oxysporum f. sp. niveumplant tissuequantificationsoilwatermelon

Identifiers

PMID35678056
PMCPMC9343908
OpenAlexW4281608737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.