Evidence map›Paper›PMID 40923255›Full record

ArticleThe plant genome2025

Genomic exploration of durable wheat rust resistance by integrating data from multiple worldwide populations.

Reem Joukhadar, Richard M Trethowan, Urmil Bansal, Rebecca Thistlethwaite, Josquin Tibbits, Harbans Bariana, Matthew J Hayden

Abstract read
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

7 authors.

Reem JoukhadarAgriculture Victoria, Centre for AgriBioscience, AgriBio, Bundoora, Victoria, Australia.ORCID https://orcid.org/0000-0001-7015-7298
Richard M TrethowanSchool of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Sydney, New South Wales, Australia.
Urmil BansalSchool of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Sydney, New South Wales, Australia.
Rebecca ThistlethwaiteSchool of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Sydney, New South Wales, Australia.
Josquin TibbitsAgriculture Victoria, Centre for AgriBioscience, AgriBio, Bundoora, Victoria, Australia.
Harbans BarianaSchool of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Sydney, New South Wales, Australia.
Matthew J HaydenAgriculture Victoria, Centre for AgriBioscience, AgriBio, Bundoora, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global wheat (Triticum aestivum L.) production faces significant challenges due to the destructive nature of leaf (Puccinia triticina; leaf rust [Lr]), stem (Puccinia graminis; stem rust [Sr]), and stripe (Puccinia striiformis; stripe rust [Yr]) rust diseases. Despite ongoing efforts to develop resistant varieties, these diseases remain a persistent challenge due to their highly evolving nature. Overcoming these challenges requires the identification and deployment of genetically diverse resistance genes in future cultivars. This study explored durable resistance against rust diseases by integrating data from five global populations. The populations exhibit diverse origins and were phenotypically evaluated in 16, 13, and 19 global field experiments, with total phenotypic observations of 12,694, 10,725, and 16,281 for Lr, Sr, and Yr, respectively. Field experiments showed moderate heritability of 0.43, 0.62, and 0.41 for Lr, Sr, and Yr, respectively. Genetic correlations were moderate among experiments for the same disease (0.34-0.59), but low among the three diseases (<0.21). The meta-genome-wide association studies (metaGWAS) analysis identified 19 quantitative trait loci (QTLs) associated with the resistance to Lr, 17 with the resistance to Sr, and five with the resistance to Yr. Six QTLs controlling resistance to more than one rust disease were also identified. Additionally, the study unveiled 13 potentially new QTLs (five for Lr and Yr each and three for Yr), contributing valuable insights into the genetic basis of wheat rust resistance. The integration of diverse populations and environments through metaGWAS enhanced the detection of stable QTL. This research provides breeders with additional resistance loci to combat rust pathogens.

Indexed as

Disease ResistancePlant DiseasesTriticumBasidiomycotaGenome, PlantPhenotypePucciniaQuantitative Trait Loci

Identifiers

PMID40923255
PMCPMC12418299

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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.