Early Detection of the Root-Knot Nematode Meloidogyne hapla Through Developing a Robust Quantitative PCR Approach Compliant with the Minimum Information for Publication of Quantitative Real-Time PCR Experiments Guidelines

Author:

Tavoillot Johannes1ORCID,Mateille Thierry1,Ali Nadine2,Chappé Anne-Marie3,Martin Jean-François1ORCID

Affiliation:

1. Biology Center for Population Management (CBGP), Université de Montpellier, Center for International Cooperation in Agricultural Research for Development (CIRAD), National Institute for Agricultural Research (INRAE), Institut Agro, Institute of Research for Development (IRD) Montpellier, 34988 Montpellier, France

2. Department of Plant Protection, Tishreen University, Tishreen, Syria

3. Nematology Unit, Anses, French Agency for Food, Environmental and Occupational Health and Safety/Plant Health Laboratory, 35653 Le Rheu, France

Abstract

Root-knot nematodes (RKNs) are major threats to crops through attacking the roots, which induces an abnormal development of the plant. Meloidogyne hapla is of particular concern, as it is currently expanding its distribution area and displays a wide host range. Effective plant protection against this RKN requires early detection, as even a single individual can cause severe economic losses on susceptible crops. Molecular tools are of particular value for this purpose, and among them, quantitative PCR (qPCR) presents many advantages (i.e., sensitivity, specificity, and rapidity of diagnosis at a reduced cost). Although a few studies have already been proposed for detecting M. hapla through this technique, they lack experimental details and performance testing, suffer from low taxonomic resolution, and/or require expensive hydrolysis probes. Here, we propose a qPCR detection method that uses SYBR Green with developed primers amplifying a fragment of the cytochrome oxidase I mitochondrial region. The method was developed and evaluated following the minimum information for publication of quantitative real-time PCR experiments (MIQE) guidelines to ensure its quality (i.e., sensitivity, specificity, repeatability, reproducibility, and robustness). The results demonstrate that the newly developed method fulfills its goals, as it proved specific to M. hapla and allowed for a reproductible detection level as low as 1.25 equivalent of a juvenile individual. All criteria associated with the MIQE guidelines were also met, so the method is of general use for the reliable early detection of M. hapla.

Publisher

Scientific Societies

Subject

Plant Science,Agronomy and Crop Science

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