Molecular inversion probe: a new tool for highly specific detection of plant pathogens

Lau, Han Yih, Palanisamy, Ramkumar, Trau, Matt and Botella, Jose R. (2014) Molecular inversion probe: a new tool for highly specific detection of plant pathogens. PLoS One, 9 10: e111182.1-e111182.9. doi:10.1371/journal.pone.0111182

Author Lau, Han Yih
Palanisamy, Ramkumar
Trau, Matt
Botella, Jose R.
Title Molecular inversion probe: a new tool for highly specific detection of plant pathogens
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2014-10-24
Sub-type Article (original research)
DOI 10.1371/journal.pone.0111182
Open Access Status DOI
Volume 9
Issue 10
Start page e111182.1
End page e111182.9
Total pages 9
Editor Boris Alexander Vinatzer
Place of publication San Francisco, CA, United States
Publisher Public Library of Science
Collection year 2015
Language eng
Formatted abstract
Highly specific detection methods, capable of reliably identifying plant pathogens are crucial in plant disease management strategies to reduce losses in agriculture by preventing the spread of diseases. We describe a novel molecular inversion probe (MIP) assay that can be potentially developed into a robust multiplex platform to detect and identify plant pathogens. A MIP has been designed for the plant pathogenic fungus Fusarium oxysporum f.sp. conglutinans and the proof of concept for the efficiency of this technology is provided. We demonstrate that this methodology can detect as little as 2.5 ng of pathogen DNA and is highly specific, being able to accurately differentiate Fusarium oxysporum f.sp. conglutinans from other fungal pathogens such as Botrytis cinerea and even pathogens of the same species such as Fusarium oxysporum f.sp. lycopersici. The MIP assay was able to detect the presence of the pathogen in infected Arabidopsis thaliana plants as soon as the tissues contained minimal amounts of pathogen. MIP methods are intrinsically highly multiplexable and future development of specific MIPs could lead to the establishment of a diagnostic method that could potentially screen infected plants for hundreds of pathogens in a single assay.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Tue, 07 Oct 2014, 10:51:41 EST by Jon Swabey on behalf of School of Agriculture and Food Sciences