ReviewApplied microbiology and biotechnology2020
Fast and reliable molecular methods to detect fungal pathogens in woody plants.
Review in Applied microbiology and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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.
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.
Who cites it
33 citing papers in PubMed, 119 citations in OpenAlex.
- Development and validation of conventional and TaqMan real-time PCR for the detection of Trichoderma afroharzianum causing corn ear rot.Scientific reports · 2026Article
- Molecular Identification and RNA-Based Management of Fungal Plant Pathogens: From PCR to CRISPR/Cas9.International journal of molecular sciences · 2026Review
- Review
- Development of an LNA-Based qPCR Assay for DetectingInsects · 2025Article
- Silent invaders: the hidden threat of asymptomatic phytobiomes to forest biosecurity.The New phytologist · 2025Review
- Navigating the complex landscape of waterborne disease research.Journal of water and health · 2025Review
- Remote sensing-based detection of brown spot needle blight: a comprehensive review, and future directions.PeerJ · 2025Review
- LAMP Reaction in Plant Disease Surveillance: Applications, Challenges, and Future Perspectives.Life (Basel, Switzerland) · 2024Review
- Development of a PCR-based assay for specific and sensitive detection of Fusarium buharicum from infected okra plant.PloS one · 2024Article
- Direct and indirect technical guide for the early detection and management of fungal plant diseases.Current research in microbial sciences · 2024Review
- Strategies to manage tree pest and disease outbreaks: a balancing act.BMC ecology and evolution · 2023Article
- A Review of Modern Methods for the Detection of Foodborne Pathogens.Microorganisms · 2023Review
- Random amplified microsatellites (RAMS) analysis ascertains genetic variation ofFrontiers in genetics · 2023Article
- Article
- Real-Time Portable LAMP Assay for a Rapid Detection of Xylella fastidiosa In-Field.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Unveiling Chemical Interactions Between Plants and Fungi Using Metabolomics Approaches.Advances in experimental medicine and biology · 2023Article
- Activity of Aqueous Extracts from Native Plants of the Yucatan Peninsula against Fungal Pathogens of Tomato In Vitro and fromPlants (Basel, Switzerland) · 2022Article
- Dynamic Fluctuation and Niche Differentiation of Fungal Pathogens Infecting Bell Pepper Plants.Applied and environmental microbiology · 2022Article
- Characterization ofPlants (Basel, Switzerland) · 2022Article
- Potential Action Mechanism and Inhibition Efficacy ofMolecules (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Plant diseases caused by pathogenic microorganisms represent a serious threat to plant productivity, food security, and natural ecosystems. An effective framework for early warning and rapid response is a crucial element to mitigate or prevent the impacts of biological invasions of plant pathogens. For these reasons, detection tools play an important role in monitoring plant health, surveillance, and quantitative pathogen risk assessment, thus improving best practices to mitigate and prevent microbial threats. The need to reduce the time of diagnosis has prompted plant pathologists to move towards more sensitive and rapid methods such as molecular techniques. Considering prevention to be the best strategy to protect plants from diseases, this review focuses on fast and reliable molecular methods to detect the presence of woody plant pathogens at early stage of disease development before symptoms occur in the host. A harmonized pool of novel technical, methodological, and conceptual solutions is needed to prevent entry and establishment of new diseases in a country and mitigate the impact of both invasive and indigenous organisms to agricultural and forest ecosystem biodiversity and productivity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.