Molecular Labelling Tool for Cereal Genetic Resources Management Derived from Barley and Tetraploid Wheat Genebank-Genomics Projects

maintained at the Germplasm Resources National Capability at the John Innes Centre, UK. This approach offers a straightforward, automatable, and inexpensive alternative to traditional genebank crop descriptors used during seed regeneration and distribution. By establishing the minimal genomic resolution needed to distinguish genetically distinct accessions, we show that as few as 24 and 25 carefully chosen SNP markers for barley and durum wheat, respectively, can effectively differentiate individual accessions. Unlike morphology-based identification, which can detect mislabelling or contamination but often cannot prevent or correct such errors, our SNP-based molecular labelling enables error correction and the retrieval of lost germplasm identity. This study highlights how accuracy and reliability in germplasm management can be improved without costly whole-genome sequencing or resource-intensive analysis. We discuss the impact of this method on enhancing quality assurance in genebanks and its broader usefulness for the user community.

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Publication Details

Journal
Plants
Published
2026-04-16
DOI
https://doi.org/10.3390/plants15081219
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
0.00

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article

Molecular Labelling Tool for Cereal Genetic Resources Management Derived from Barley and Tetraploid Wheat Genebank-Genomics Projects

Gary Barker, Simon Orford, Noam Chayut, Liz Sayers et al.
Plants
Wheat and Barley Genetics and Pathology
article

Molecular Labelling Tool for Cereal Genetic Resources Management Derived from Barley and Tetraploid Wheat Genebank-Genomics Projects

Gary Barker, Simon Orford, Noam Chayut, Liz Sayers, Amanda Burridge, Richard Goram, Ajay Siluveru, Workie Zegeye, Richard Horler
article en

Abstract

maintained at the Germplasm Resources National Capability at the John Innes Centre, UK. This approach offers a straightforward, automatable, and inexpensive alternative to traditional genebank crop descriptors used during seed regeneration and distribution. By establishing the minimal genomic resolution needed to distinguish genetically distinct accessions, we show that as few as 24 and 25 carefully chosen SNP markers for barley and durum wheat, respectively, can effectively differentiate individual accessions. Unlike morphology-based identification, which can detect mislabelling or contamination but often cannot prevent or correct such errors, our SNP-based molecular labelling enables error correction and the retrieval of lost germplasm identity. This study highlights how accuracy and reliability in germplasm management can be improved without costly whole-genome sequencing or resource-intensive analysis. We discuss the impact of this method on enhancing quality assurance in genebanks and its broader usefulness for the user community.

PlantsVol. 15(8)
John Innes Centre (GB), Norwich Research Park (GB), University of Bristol (GB), University of Gondar (ET)
U.S. Department of Agriculture, UK Research and Innovation, University of Bristol, Crop Trust, Direktoratet for Utviklingssamarbeid, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 21%
Wheat and Barley Genetics and Pathology
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