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MARPLE, a point-of-care, strain-level disease diagnostics and surveillance tool for complex fungal pathogens

Posted on 2019-08-13 - 04:00
Abstract Background Effective disease management depends on timely and accurate diagnosis to guide control measures. The capacity to distinguish between individuals in a pathogen population with specific properties such as fungicide resistance, toxin production and virulence profiles is often essential to inform disease management approaches. The genomics revolution has led to technologies that can rapidly produce high-resolution genotypic information to define individual variants of a pathogen species. However, their application to complex fungal pathogens has remained limited due to the frequent inability to culture these pathogens in the absence of their host and their large genome sizes. Results Here, we describe the development of Mobile And Real-time PLant disEase (MARPLE) diagnostics, a portable, genomics-based, point-of-care approach specifically tailored to identify individual strains of complex fungal plant pathogens. We used targeted sequencing to overcome limitations associated with the size of fungal genomes and their often obligately biotrophic nature. Focusing on the wheat yellow rust pathogen, Puccinia striiformis f.sp. tritici (Pst), we demonstrate that our approach can be used to rapidly define individual strains, assign strains to distinct genetic lineages that have been shown to correlate tightly with their virulence profiles and monitor genes of importance. Conclusions MARPLE diagnostics enables rapid identification of individual pathogen strains and has the potential to monitor those with specific properties such as fungicide resistance directly from field-collected infected plant tissue in situ. Generating results within 48 h of field sampling, this new strategy has far-reaching implications for tracking plant health threats.

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AUTHORS (31)

Guru Radhakrishnan
Nicola Cook
Vanessa Bueno-Sancho
Clare Lewis
Antoine Persoons
Abel Mitiku
Matthew Heaton
Phoebe Davey
Bekele Abeyo
Yoseph Alemayehu
Ayele Badebo
Marla Barnett
Ruth Bryant
Jeron Chatelain
Xianming Chen
Suomeng Dong
Tina Henriksson
Sarah Holdgate
Annemarie Justesen
Jay Kalous
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