Evidence map›Paper›PMID 42690447›Full record

ArticleArchives of microbiology2026

A transcriptome-wide approach for rapid pathotype discrimination of Puccinia striiformis f. sp. tritici in north-western India.

Gutha Venkata Ramesh, Jaspal Kaur, Parveen Chhuneja, Anurag Saharan, Deepak Singla, Ritu Bala, O P Gangwar

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Article in Archives of microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Gutha Venkata RameshDepartment of Plant Pathology, Punjab Agricultural University, 141004, Ludhiana, Punjab, India.
Jaspal KaurDepartment of Plant Breeding and Genetics, Punjab Agricultural University, 141004, Ludhiana, Punjab, India. jassu75@pau.edu.
Parveen ChhunejaSchool of Agricultural Biotechnology, Punjab Agricultural University, 141004, Ludhiana, Punjab, India.
Anurag SaharanSchool of Agricultural Biotechnology, Punjab Agricultural University, 141004, Ludhiana, Punjab, India.
Deepak SinglaSchool of Agricultural Biotechnology, Punjab Agricultural University, 141004, Ludhiana, Punjab, India.
Ritu BalaDepartment of Plant Breeding and Genetics, Punjab Agricultural University, 141004, Ludhiana, Punjab, India.
O P GangwarRegional Station, ICAR-Indian Institute of Wheat and Barley Research, 171002, Flowerdale, Shimla, Himachal Pradesh, India.

Funding

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6 · The paper itself

Abstract

Stripe rust of wheat caused by Puccinia striiformis f. sp. tritici (Pst) remains a major constraint to wheat production in India due to the rapid evolution and frequent emergence of virulent pathotypes. Rapid and reliable discrimination of Pst pathotypes is essential for effective resistance deployment and surveillance. In the present study, transcriptome-wide simple sequence repeats (SSRs) and single nucleotide polymorphisms (SNPs) were exploited to develop and validate molecular markers for pathotype-specific detection of Pst pathotypes prevalent in North India (110S119, 238S119, 46S119, 110S84 and 78S84). Microsatellite mining from 6103 core orthologous clusters comprising 51,127 transcripts mined 14,634 SSR loci, from which 93 primer pairs were synthesized. However, only three SSR markers exhibited polymorphism indicating limited discrimination potential of expressed sequence-derived (EST) SSRs for pathotype differentiation. In contrast, SNP discovery through stringent variant calling and filtration yielded 186 pathotype-specific homokaryotic SNPs, of which 56 high-confidence loci were selected for Kompetitive Allele-Specific PCR (KASP) assay development. A total of 48 KASP markers were synthesized and 14 demonstrated clear pathotype- or cluster-specific polymorphism representing substantially higher resolution than SSR markers. The high SNP-to-KASP conversion efficiency (~ 95%) and reproducible fluorescence-based clustering emphasize the robustness of KASP assay. Comparative evaluation revealed that SNP-based KASP markers provide superior discriminatory capacity for closely related Pst pathotypes and represent a promising complementary molecular approach for rapid identification of predominant Indian Pst pathotypes. The validated marker panel developed in this study can complement conventional virulence phenotyping and field pathogenomics approaches for surveillance of currently known pathotypes, while continued refinement may accommodate future changes in pathogen populations.

Indexed as

BasidiomycotaPlant DiseasesPucciniaTranscriptomeTriticumGene Expression ProfilingGenetic MarkersIndiaMicrosatellite RepeatsPolymorphism, Single NucleotideGenetic MarkersKompetitive allele-specific PCR (KASP)Pst pathotypesSimple sequence repeats (SSR)TranscriptomeVirulence surveillanceWheat stripe rust

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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.