Evidence map›Paper›PMID 31405370›Full record

ArticleBMC biology2019

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

Guru V Radhakrishnan, Nicola M Cook, Vanessa Bueno-Sancho, Clare M Lewis, Antoine Persoons, Abel Debebe Mitiku, Matthew Heaton, Phoebe E Davey, Bekele Abeyo, Yoseph Alemayehu and 21 more

Abstract read
In one paragraph

Article in BMC biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors.

Guru V RadhakrishnanJohn Innes Centre, Norwich Research Park, Norwich, UK.
Nicola M CookJohn Innes Centre, Norwich Research Park, Norwich, UK.
Vanessa Bueno-SanchoJohn Innes Centre, Norwich Research Park, Norwich, UK.
Clare M LewisJohn Innes Centre, Norwich Research Park, Norwich, UK.
Antoine PersoonsJohn Innes Centre, Norwich Research Park, Norwich, UK.
Abel Debebe MitikuEthiopian Institute of Agricultural Research, Addis Ababa, Ethiopia.
Matthew HeatonJohn Innes Centre, Norwich Research Park, Norwich, UK.
Phoebe E DaveyJohn Innes Centre, Norwich Research Park, Norwich, UK.
Bekele AbeyoInternational Maize and Wheat Improvement Center (CIMMYT), Addis Ababa, Ethiopia.
Yoseph AlemayehuInternational Maize and Wheat Improvement Center (CIMMYT), Addis Ababa, Ethiopia.
Ayele BadeboInternational Maize and Wheat Improvement Center (CIMMYT), Addis Ababa, Ethiopia.
Marla BarnettLimagrain Cereal Seeds, 2040 SE Frontage Road, Fort Collins, CO, 80525, USA.
Ruth BryantRAGT Seeds Ltd, Cambridge, UK.
Jeron ChatelainLimagrain Cereal Seeds, 2040 SE Frontage Road, Fort Collins, CO, 80525, USA.
Xianming ChenUSDA-ARS and Department of Plant Pathology, Washington State University, Pullman, WA, 99164, USA.
Suomeng DongNanjing Agricultural University, Nanjing, China.
Tina HenrikssonLantmännen Lantbruk, Svalöv, Sweden.
Sarah HoldgateNIAB, Cambridge, UK.
Annemarie F JustesenAarhus University Flakkebjerg, Slagelse, Denmark.
Jay KalousLimagrain Cereal Seeds, 2040 SE Frontage Road, Fort Collins, CO, 80525, USA.
Zhensheng KangState Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Szymon LacznyBASF Poland, Al. Jerozolimskie 142b, 02-305, Warsaw, Poland.
Jean-Paul LegoffRAGT 2n, Centre de Recherche de Druelle, 12510, Olemps, France.
Driecus LeschSensako, Napier, Bethlehem, South Africa.
Tracy RichardsLimagrain Cereal Seeds, 2040 SE Frontage Road, Fort Collins, CO, 80525, USA.
Harpinder S RandhawaAgriculture and Agri-Food Canada, Lethbridge Research and Development Centre, Lethbridge, Alberta, Canada.
Tine ThachAarhus University Flakkebjerg, Slagelse, Denmark.
Meinan WangUSDA-ARS and Department of Plant Pathology, Washington State University, Pullman, WA, 99164, USA.
Mogens S HovmøllerAarhus University Flakkebjerg, Slagelse, Denmark.
David P HodsonInternational Maize and Wheat Improvement Center (CIMMYT), Addis Ababa, Ethiopia.
Diane G O SaundersJohn Innes Centre, Norwich Research Park, Norwich, UK. Diane.Saunders@jic.ac.uk.ORCID 0000-0003-2847-5721

Funding

Biotechnology and Biological Sciences Research Council BB/GCRF-IAA/11 and BB/GCRF-IAA/17/11Biotechnology and Biological Sciences Research Council BB/J004553/1 and BB/P012574/1Biotechnology and Biological Sciences Research Council BB/M011216/1Biotechnology and Biological Sciences Research Council BB/N503964/2Biotechnology and Biological Sciences Research Council BBS/OS/GC/000013A
6 · The paper itself

Abstract

backgroundEffective 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.

resultsHere, 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.

conclusionsMARPLE 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.

Indexed as

Point-of-Care SystemsBasidiomycotaDiagnostic Tests, RoutinePlant DiseasesDisease diagnosticsGenomicsNanopore sequencingPathogen surveillancePoint of careWheat rust

Identifiers

PMID31405370
PMCPMC6691556

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.