Evidence map›Paper›PMID 41409036›Full record

ReviewMolecular plant pathology2025

Current Status and Future Direction of the High-Temperature Resistance in Wheat to Control Stripe Rust.

Xinqian Lyu, Guocheng Li, Chang Su, Xujun Luo, Yuankang Zhu, Tao Liu, Yuxiang Li, Xiaoping Hu, Chengyun Li, Yangshan Hu

Abstract readReview
In one paragraph

Review in Molecular plant pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Xinqian LyuState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan and College of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan, China.
Guocheng LiState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan and College of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan, China.
Chang SuMinistry of Agriculture and Rural Affairs (MARA) Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River (Co-Construction by Ministry and Province), College of Agriculture, Yangtze University, Jingzhou, China.
Xujun LuoState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan and College of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan, China.
Yuankang ZhuState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan and College of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan, China.
Tao LiuSchool of Agriculture, Ningxia University, Yinchuan, Ningxia, China.
Yuxiang LiKey Laboratory of Plant Protection Resources and Pest Management, Ministry of Education; Key Laboratory of Integrated Pest Management on Crops in Northwestern Loess Plateau, Ministry of Agriculture and Rural Affairs; College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China.
Xiaoping HuKey Laboratory of Plant Protection Resources and Pest Management, Ministry of Education; Key Laboratory of Integrated Pest Management on Crops in Northwestern Loess Plateau, Ministry of Agriculture and Rural Affairs; College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China.ORCID 0000-0002-8155-7040
Chengyun LiState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan and College of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan, China.
Yangshan HuState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan and College of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan, China.ORCID 0000-0003-3651-4540

Funding

Opening Foundation of State Key Laboratory for Biology of Plant Disease and Insect Pests SKLOF202413Yunnan Agricultural Joint Project 202301BD070001-179
6 · The paper itself

Abstract

This review summarises the current advances and future perspectives on high-temperature resistance in wheat against stripe rust, caused by the airborne fungal pathogen Puccinia striiformis f. sp. tritici (Pst). High-temperature resistance, comprising high-temperature adult-plant (HTAP) and high-temperature all-stage (HTAS) resistance, is critical for durable disease control. HTAP resistance occurs in adult plants at relatively high temperatures, whereas HTAS resistance acts across all growth stages at relatively high temperatures. Genetic mapping has identified numerous HTAP-resistance genes and quantitative trait loci (QTLs) in various chromosomal regions, especially in the B subgenome. Cloned genes, such as Yr18, Yr36 and Yr46, reveal mechanisms involving cell necrosis induction, photosynthesis modulation and nutrient transportation. For HTAS resistance, defence-related factors such as nucleotide-binding site-leucine-rich repeat proteins, transcription factors and receptor-like kinases that mediate resistance via plant-pathogen interactions have been identified; however, research on identifying the genes or QTLs that can be used in breeding programmes is limited. To overcome host defence, Pst secretes effectors that suppress high-temperature resistance by targeting host proteins. Future research should focus on novel gene mining, regulatory network deciphering, effector-host interaction studies and breeding applications via marker-assisted selection and gene editing.

Indexed as

BasidiomycotaDisease ResistanceHot TemperaturePlant DiseasesPucciniaTriticumQuantitative Trait Locihigh‐temperature resistancemolecular mechanismPuccinia striiformis f. sp. triticiquantitative trait lociwheat (Triticum aestivum L.) stripe rustYr genes

Identifiers

PMID41409036
PMCPMC12712242

What OpenQuestion holds

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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.