Evidence map›Paper›PMID 41925899›Full record

ReviewApplied microbiology and biotechnology2026

Research progress on nucleic acid amplification-based detection technologies for phytopathogenic fungi.

Baoyu Wang, Mei Liu, Hui Wang, Chenfang Wang, Wei Zhang, Jiye Yan

Abstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Rapid On-Site Detection ofPlants (Basel, Switzerland) · 2026
    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

6 authors.

Baoyu WangBeijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Mei LiuBeijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Hui WangBeijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Chenfang WangBeijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Wei ZhangBeijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China. zhangwei@baafs.net.cn.
Jiye YanBeijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.

Funding

China Agriculture Research System of MOF and MARA CARS-29the Outstanding Scientist Project of Beijing Academy of Agriculture and Forestry Sciences JKTD2025002
6 · The paper itself

Abstract

Phytopathogenic fungi are highly diverse and globally distributed, posing a major threat to agricultural production worldwide. The annual losses caused by plant diseases can reach up to 30% of global crop yields, with over 80% of infections caused by fungal pathogens. The accurate identification of pathogenic fungal species is crucial for effective disease prevention and control. Thus, establishing accurate and rapid detection technologies for phytopathogenic fungi is crucial for implementing targeted control strategies and reducing agricultural losses. Molecular detection technologies based on nucleic acid amplification have recently become indispensable tools for pathogen detection. This review examines the principles and advancements of nucleic acid-based detection techniques, including thermal cycling-based methods (e.g., conventional PCR, real-time quantitative PCR, and droplet digital PCR) and isothermal amplification platforms (e.g., loop-mediated isothermal amplification and recombinase polymerase amplification), as well as CRISPR/Cas-assisted assays coupled with isothermal amplification (e.g., RPA-CRISPR and LAMP-CRISPR), with the aim of evaluating their strengths, limitations, and practical applicability in the rapid diagnosis and precision management of phytopathogenic fungal diseases. KEY POINTS: Nucleic acid amplification technologies enable rapid and sensitive detection of phytopathogenic fungi. Isothermal amplification and CRISPR/Cas-assisted platforms facilitate field-deployable and low-instrumentation diagnostics. Integrated workflows support early diagnosis and precision management of phytopathogenic fungal diseases.

Indexed as

FungiMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPlant DiseasesCRISPR-Cas SystemsRapid Diagnostic TestsNucleic acid amplificationNucleic acid extractionPhytopathogenic fungiRapid detection

Identifiers

PMID41925899
PMCPMC13050769

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.