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A Real-Time PCR Assay to Detect and Quantify Root-Knot Nematodes from Soil Extracts.
Hodson, Amanda K; Celayir, Tugce; Quiroz Alonso, Alejandra.
Afiliação
  • Hodson AK; Department of Entomology and Nematology, University of California Davis, Davis, CA 95616.
  • Celayir T; Department of Entomology and Nematology, University of California Davis, Davis, CA 95616.
  • Quiroz Alonso A; Department of Entomology and Nematology, University of California Davis, Davis, CA 95616.
Plant Dis ; 107(7): 2169-2176, 2023 Jul.
Article em En | MEDLINE | ID: mdl-36548922
ABSTRACT
Root-knot nematodes cause forking and stubbing of the growing carrot root tip, decreasing market value and reducing yield by up to 45%. Since crop damage by these nematodes depends on their initial population densities at planting, preplant detection of potentially low nematode numbers is critical for predicting future yield loss. The aim of this study was to overcome some of the drawbacks of the labor- and time-intensive process of root-knot nematode identification and quantification by developing and field testing a real-time PCR (qPCR) assay. Primers were designed targeting the root-knot nematode Meloidogyne incognita species complex, which includes M. incognita as well as the closely related Meloidogyne javanica and Meloidogyne arenaria. The qPCR assay successfully detected each species and showed little amplification for nontarget nematode groups except for the sister group Meloidogyne enterolobii, which is not known to occur in California. Predicted nematode densities related well with microscopic counts of nematodes from prepared solutions, as well as from solutions extracted from field soil. In a greenhouse experiment, the qPCR assay distinguished between low, medium, and high levels of M. incognita infection and qPCR predicted densities at planting were negatively related in linear models with final carrot fresh weight, length, and diameter. These results suggest that qPCR assays could be a valuable diagnostic tool to predict nematode infections and prevent crop losses.[Formula see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tylenchoidea / Bioensaio Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Plant Dis Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tylenchoidea / Bioensaio Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Plant Dis Ano de publicação: 2023 Tipo de documento: Article