Evidence map›Paper›PMID 39729272›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Quantification of Phytophthora palmivora Infection in Barley and Related Monocot Roots.

Matthew Macleod, Sabine Brumm, Sebastian Schornack

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Matthew MacleodSainsbury Laboratory, University of Cambridge, Cambridge, UK.
Sabine BrummSainsbury Laboratory, University of Cambridge, Cambridge, UK.
Sebastian SchornackSainsbury Laboratory, University of Cambridge, Cambridge, UK. sebastian.schornack@slcu.cam.ac.uk.

Funding

UKRI BB/X014118/1
6 · The paper itself

Abstract

Biotic stresses such as fungal pathogens significantly affect global crop yields. Understanding of the plant-pathogen interactions during root infection, especially in monocot crops, remains limited compared to fungal colonizations of dicots. The infection process of several cereal crop root-damaging fungi and oomycetes is highly similar to root infections by the pathogen model Phytophthora palmivora. Here, we describe a protocol for quantifying root infection of Phytophthora palmivora in barley or related monocots using reverse transcriptase quantitative PCR. This method can be used to produce relative expression values for the oomycete within roots based on RNA or DNA. Different mutations in the host can, therefore, be quantitatively assessed for their impact on infection. This allows us to identify plant processes underpinning susceptibility to filamentous fungal colonization within monocot models and thus can facilitate the development of possible resistance strategies.

Indexed as

HordeumPhytophthoraPlant DiseasesPlant RootsHost-Pathogen InteractionsBarleyHordeum vulgareInfection assayMonocotOomycetePhytophthoraPhytophthora palmivoraqPCR

Identifiers

What OpenQuestion holds

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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.