Evidence map›Paper›PMID 41705476›Full record

ArticleThe plant genome2026

Dissecting multi-rust resistance in wheat through genome-wide association study, haplotype analysis, and marker validation.

Thamaraikannan Sivakumar, Divya Sharma, V K Vikas, Neeraj Budhlakoti, O P Gangwar, Pramod Prasad, Ankita Mohapatra, Sathishkumar R, Deepak Singh Bisht, Priyanka Jain and 9 more

Erratum issuedAbstract read
In one paragraph

Article in The plant genome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Thamaraikannan SivakumarICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
Divya SharmaICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
V K VikasICAR-Indian Agricultural Research Institute, Wellington, Tamil Nadu, India.
Neeraj BudhlakotiICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
O P GangwarICAR-Indian Institute of Wheat and Barley Research, Shimla, Himachal Pradesh, India.
Pramod PrasadICAR-Indian Institute of Wheat and Barley Research, Shimla, Himachal Pradesh, India.
Ankita MohapatraICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
Sathishkumar RICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
Deepak Singh BishtICAR-National Institute for Plant Biotechnology, LBS Centre, IARI Campus, New Delhi, India.
Priyanka JainICAR-National Institute for Plant Biotechnology, LBS Centre, IARI Campus, New Delhi, India.
Ritu SharmaICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
Bonipas Antony JohnDepartment of Genetics and Plant Breeding, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.
Reyazul Rouf MirDivision of Genetics and Plant Breeding, Faculty of Agriculture (FoA), Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), Srinagar, Jammu and Kashmir, India.
Farkhandah JanCentre for Crop and Food Innovation, Murdoch University, Murdoch, Western Australia, Australia.
Dwijesh C MishraICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Satinder KaurSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India.
Amit Kumar SinghICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
G P SinghICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
Sundeep KumarICAR-National Bureau of Plant Genetic Resources, New Delhi, India.ORCID https://orcid.org/0000-0001-5917-8290

Funding

Centre for Agricultural Bioinformatics 1006445Department of Biotechnology, Ministry of Science and Technology, India BT/Ag/Network/Wheat/2019-2020
6 · The paper itself

Abstract

Wheat is a major global staple food affected by three diseases: leaf rust (LR), stem rust (SR), and stripe rust (YR), all of which can cause substantial yield losses. Identifying genotypes with broad-spectrum resistance to diverse pathotypes of all three rusts remains a major challenge. In this study, we examined the genomic basis of resistance to three rust diseases LR, SR, and YR in a diverse panel of 346 bread wheat (Triticum aestivum) accessions. The seedling stage phenotypic evaluation was performed for 2 years using prevalent and virulent pathotypes. Based on best linear unbiased estimators, LR and YR displayed right-skewed distributions, whereas SR showed a bimodal pattern. Genotyping with the 35K Axiom Wheat Breeders Array, followed by quality control, yielded 11,910 high-quality single nucleotide polymorphisms (SNPs). Population structure analysis revealed five subpopulations and a whole genome linkage disequilibrium decay of 3.49 Mb. Multi-trait genome-wide association studies identified 11 significant SNPs distributed on chromosomes 3A, 3B, 3D, and 7B, which were associated with 47 disease resistance genes, 22 of which were highly expressed in at least one condition. The haplotype analysis revealed eight different haplotypes, where H006 and H007 were superior in terms of multiple rust resistance (MRR). Note that 17 elite accessions, including IC427824 and HGP1-359, were selected using multi-trait genotype ideotype distance index analysis. Three key Kompetitive allele specific polymerase chain reaction (KASP) markers, AX94381808, AX94874313, and AX94807942 were developed and validated. This integrated genomic approach advances the identification process and can accelerate the breeding of wheat cultivars with durable MRR.

Indexed as

Disease ResistancePlant DiseasesTriticumBasidiomycotaGenetic MarkersGenome-Wide Association StudyGenotypeHaplotypesLinkage DisequilibriumPolymorphism, Single NucleotidePucciniaGenetic Markers

Identifiers

PMID41705476
PMCPMC12919733

What Socratic holds

Textmetadata
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 Socratic graph.