Evidence map›Paper›PMID 40169941›Full record

ArticleBMC genomics2025

A portable, nanopore-based genotyping platform for near real-time detection of Puccinia graminis f. sp. tritici lineages and fungicide sensitivity.

Loizos Savva, Anthony Bryan, Dominik Vinopal, Oscar E Gonzalez-Navarro, Zennah Kosgey, Kimani Cyrus Ndung'u, Jemal Tola Horo, Kitessa Gutu Danu, Messele Molla, Yoseph Alemayehu and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Virulence Profiles and Fungicide-Target-Gene Variability inJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Genome analysis ofFrontiers in fungal biology · 2026
    Article
  6. Article
  7. Article
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

12 authors.

Loizos SavvaJohn Innes Centre, Norwich Research Park, Norwich, UK.
Anthony BryanJohn Innes Centre, Norwich Research Park, Norwich, UK.
Dominik VinopalJohn Innes Centre, Norwich Research Park, Norwich, UK.
Oscar E Gonzalez-NavarroJohn Innes Centre, Norwich Research Park, Norwich, UK.
Zennah KosgeyKenya Agricultural and Livestock Research Organization (KALRO), Food Crops Research Centre, Njoro, Kenya.
Kimani Cyrus Ndung'uKenya Agricultural and Livestock Research Organization (KALRO), Food Crops Research Centre, Njoro, Kenya.
Jemal Tola HoroAmbo Research Center, Ethiopian Institute of Agricultural Research (EIAR), Ambo, Ethiopia.
Kitessa Gutu DanuAmbo Research Center, Ethiopian Institute of Agricultural Research (EIAR), Ambo, Ethiopia.
Messele MollaEIAR, National Agricultural Biotechnology Research Center, Holeta, Ethiopia.
Yoseph AlemayehuInternational Maize and Wheat Improvement Center (CIMMYT), Addis Ababa, Ethiopia.
David P HodsonCIMMYT, Khumaltar, Lalitpur, Nepal. D.Hodson@cgiar.org.
Diane G O SaundersJohn Innes Centre, Norwich Research Park, Norwich, UK. Diane.Saunders@jic.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFungal plant disease outbreaks are increasing in both scale and frequency, posing severe threats to agroecosystem stability, native biodiversity and food security. Among these, the notorious wheat stem rust fungus, Puccinia graminis f.sp. tritici (Pgt), has threatened wheat production since the earliest days of agriculture. New Pgt strains continue to emerge and quickly spread over vast distances through the airborne dispersal of asexual urediniospores, triggering extensive disease outbreaks as these exotic Pgt strains often overcome resistance in dominant crop varieties of newly affected regions. This highlights the urgent need for a point-of-care, real-time Pgt genotyping platform to facilitate early detection of emerging Pgt strains.

resultsIn this study, we developed a simple amplicon-based re-sequencing platform for rapid genotyping of Pgt isolates. This system is built around a core set of 276 Pgt genes that we found are highly polymorphic between Pgt isolates and showed that the sequence of these genes alone could be used to accurately type Pgt strains to particular lineages. We also developed a simplistic DNA preparation method and an automated bioinformatic pipeline, to enable these Pgt gene markers to be sequenced and analysed rapidly using the MinION nanopore sequencing device. This approach successfully enabled the typing of Pgt strains within approximately 48 h of collecting Pgt-infected wheat samples, even in resource-limited locations in Kenya and Ethiopia. In addition, we incorporated monitoring capabilities for sequence variations in Pgt genes that encode targets of the azole and succinate dehydrogenase inhibitor fungicides, enabling real-time tracking of potential shifts in fungicide sensitivity.

conclusionThe newly developed Pgt Mobile And Real-time, PLant disEase (MARPLE) diagnostics platform we established, now allows precise typing of individual Pgt strains while simultaneously tracking changes in fungicide sensitivity, providing an early warning system for potential indicators of changes in the Pgt population and emerging fungicide resistance. Further integration of this Pgt MARPLE diagnostics platform into national surveillance programmes will support more informed management decisions and timely responses to Pgt disease outbreaks, helping reduce the devastating crop losses currently caused by this 'cereal killer'.

Indexed as

Fungicides, IndustrialGenotyping TechniquesNanoporesPucciniaGenotypePlant DiseasesTriticumFungicides, IndustrialDisease diagnosticsDisease surveillanceFungicide resistanceNanopore sequencingPoint-of-carePuccinia graminis f. sp. triticiWheat rusts

Identifiers

PMID40169941
PMCPMC11959956

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.