New 90 K SNP Array Maps Genes Behind Wheat Processing Quality

Wheat breeders have a sharper genetic lens for the traits that decide whether flour becomes good bread or noodles. In a study published in BMC Genomics, researchers report the development of the BAAFS Wheat 90 K SNP array, a genotyping platform built for molecular characterization of wheat cultivars, and a systematic validation of its ability to identify genetic loci underlying wheat processing quality traits. The work combines a new high-density marker set with genome-wide association studies on seven dough and grain traits measured in Value for Cultivation and Use trials, and it delivers both new genomic regions and ready-to-use molecular markers for breeding.

The array was assembled by merging high-quality SNP markers from two established platforms, the Illumina Wheat 90 K iSelect SNP array and the Axiom Wheat 660 K SNP array. After optimization, the final set contains 84,661 loci, each precisely anchored to the Chinese Spring telomere-to-telomere reference genome, which the authors say guarantees high genomic positional accuracy. Within the set, 79 markers are gene-specific functional markers. Of the 84,661 loci, 37.9 percent fall on the A subgenome, 42.5 percent on the B subgenome, and 18.0 percent on the D subgenome, and 46.91 percent of all loci lie within genic regions.

To test the platform, the team genotyped 190 accessions and 200 F2 individuals from a cross between the cultivars Shaanxibaimai and L43. The genotyping yielded 91.0 percent high-quality markers in the accessions and 71.0 percent in the F2 population. Beyond these test populations, the researchers genotyped 1,041 Chinese wheat cultivars representing eight major agro-ecological zones. Principal component analysis of that cultivar panel showed that the first two principal components collectively explained 12.4 percent of the total genetic variance.

For the association analysis, the researchers integrated phenotypic data for seven processing quality traits from Value for Cultivation and Use trials: dough stability time, dough development time, maximum resistance, extension area, grain texture, water absorption, and hardness index. Using the array’s markers together with these phenotypes, the team detected 294 significant marker-trait associations, which resolved into 62 quantitative trait loci associated with the seven traits.

Two genomic regions stand out in the results. The first is a pleiotropic region on chromosome 1D, spanning 408 to 423 megabases, that regulates multiple dough-quality traits and explains 7.18 to 31.56 percent of the phenotypic variance. The second key locus lies on chromosome 5D, from 2.7 to 7.0 megabases, and is associated with grain hardness and texture, accounting for 0.11 to 16.53 percent of phenotypic variation.

The study also reports novel quantitative trait loci, distinct from previously reported positions, on three chromosomes: a locus on 3D associated with dough development time and maximum resistance, one on 5A associated with grain texture, and one on 6D associated with water absorption. Candidate gene analysis was performed for these three novel QTLs. The pleiotropic QTL designated QDDT/DST/MR/EA.baaf-3D was found to explain 12.39 to 27.08 percent of the phenotypic variation for dough-related traits, which the authors highlight as evidence of its potential value for wheat quality improvement.

To translate the mapping results into breeding practice, the team developed four Kompetitive Allele-Specific PCR markers for key loci associated with processing quality traits, enabling marker-assisted selection in wheat breeding. The authors position the BAAFS Wheat 90 K SNP array as a cost-effective, high-fidelity genomic tool for wheat genetic research and breeding applications, listing germplasm evaluation, genetic mapping, variety identification, precision breeding, marker-assisted selection, and genomic selection among its intended uses, with particular utility for dissecting the genetic basis of wheat processing quality and accelerating the genetic improvement of critical agronomic traits. The study is published as open access, with the accepted version shared early under a citable permanent DOI ahead of the final Version of Record.

Subject of Research: Development of a 90 K SNP genotyping array and its use in mapping genetic loci for wheat processing quality traits

Article Title: Development of a high-quality 90 K SNP array and its application in mining genes associated with wheat processing quality traits

Article References: Li, Y., Li, H., Zhang, M., Liu, Y., Qu, P., Jia, S., Liu, C., Wei, N., Xu, Y., Yang, G., Zhang, L., Li, H., Liu, L., & Pang, B. (2026). Development of a high-quality 90 K SNP array and its application in mining genes associated with wheat processing quality traits. BMC Genomics. https://doi.org/10.1186/s12864-026-13531-y

Image Credits: AI Generated

DOI: 10.1186/s12864-026-13531-y

Keywords: wheat, SNP array, genomics, GWAS, processing quality, dough rheology, grain hardness, quantitative trait loci, KASP markers, marker-assisted selection, plant breeding, BMC Genomics