Molecular Detection Methods for Forest Pathogens
Rattachement africain : cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Forests dominate terrestrial ecosystems on earth and are frequently attacked by a wide range of pathogens, including fungi, oomycetes, nematodes, and bacteria. Forest diseases have resulted in significant losses of forest ecology and welfare worldwide. Due to the occurrence of crypticity during early infection and extensive damage, forest diseases have threatened woody resources and forest ecosystems. Early rapid accurate diagnostics of forest pathogens are of paramount importance to guide effective control measures. In the last two decades, we have witnessed technological advances in forestry disease diagnostics based on the detection of nucleic acids to meet the diagnostic time and sensitivity requirements. This review focuses on fast and reliable molecular methods to detect forest pathogens at an early stage of disease symptoms supported by polymerase chain reaction (PCR), isothermal amplification methods, including recombinase polymerase amplification (RPA) and loop-mediated isothermal amplification (LAMP), as well as next-generation diagnostics with clustered regularly interspaced short palindromic repeats (CRISPR)-Cas systems. We subsequently discuss the significance, advantages, and limitations of such methods and provide an overview of their current applications to forest pathogens. Finally, we propose challenges and opportunities for the molecular detection of forest pathogens relevant to forest ecosystem health.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Molecular Detection Methods for Forest Pathogens
- Date Crossref
- 04/03/2025
- Éditeur
- Informa UK Limited
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Beijing Forestry University pays non établi dans la noticeUniversité ou école supérieure
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Nanjing Forestry University Co-Innovation Center for the Sustainable Forestry in Southern China pays non établi dans la noticeUniversité ou école supérieure
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Chinese Academy of Forestry pays non établi dans la noticeOrganisme public
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Institute of Forest Ecology pays non établi dans la noticeStructure de recherche
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College of Forestry State Key Laboratory of Efficient Production of Forest Resources pays non établi dans la noticeUniversité ou école supérieure
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Key Laboratory of Forest Protection of National Forestry and Grassland Administration pays non établi dans la noticeStructure de recherche
Beijing Forestry University, Co-Innovation Center for the Sustainable Forestry in Southern China — Nanjing Forestry University et Chinese Academy of Forestry, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.