Evidence map›Paper›PMID 41868525›Full record

ArticleFrontiers in plant science2026

Transcriptomic profiling of wheat (

Xue Lyu, Chen Ji, Guanghao Guo, Xia Yan, He Zhao, Yu Wu

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Xue LyuChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.
Chen JiJohn Innes Centre, Department of Crop Genetics, Norwich Research Park, Norwich, United Kingdom.
Guanghao GuoThe Sainsbury Laboratory, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.
Xia YanThe Sainsbury Laboratory, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.
He ZhaoThe Sainsbury Laboratory, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.
Yu WuChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The wheat blast fungus Methods: We performed dual RNA-seq analysis of MoT-inoculated wheat leaves at 0, 24, 36, and 48 hpi, mapping reads separately to the wheat and Results: Wheat exhibited pronounced stage-specific transcriptional reprogramming, with peak differential gene expression at 36 hpi and visible symptoms at 48 hpi. The 24 hpi stage was characterized by rapid induction of immune- and defense-related pathways, including innate immunity and detoxification processes, along with downregulation of cell wall and membrane biosynthesis. By 36 hpi, wheat maintained sustained activation of immune and detoxification pathways, while chloroplast- and photosynthesis-associated genes were broadly repressed, consistent with transcriptional features of metabolic constraint. At 48 hpi, coinciding with lesion initiation, transcriptomes showed persistent, metabolically costly immune and defense responses together with extensive suppression of photosynthesis- and chloroplast-associated functions, which were associated with metabolic strain and a transition toward necrosis. Analysis of pathogen-derived reads revealed temporal induction of multiple effector candidates, including known Discussion: Together, these findings provide a temporal framework for wheat blast susceptibility and highlight key host pathways and effector candidates that define critical windows for functional dissection of MoT virulence and wheat susceptibility.

Indexed as

effector candidateshost susceptibilityMagnaporthe oryzaeTriticum aestivum L.wheat blast

Identifiers

PMID41868525
PMCPMC12999787

What OpenQuestion holds

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Registered trials

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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.