• Wheat

    (Triticum aestivum Linn.)

     

  • Wheat (Triticum aestivum L.) stands as a cornerstone of global food security, providing approximately 20% of humanity's caloric intake. To bolster wheat research and breeding, we have developed a comprehensive suite of wheat liquid phase genotyping by target sequencing (GBTS) panels. Utilizing our advanced GBTS technology, these panels are meticulously designed to facilitate the identification and screening of functional traits, thereby accelerating genetic selection and production improvement. Also, these panels are compatible with diverse sample types, including plant tissues and seeds, establishing them as an indispensable tool for researchers and breeders striving to enhance wheat production and desired traits.

    In addition to our Ready-to-Use Wheat Panels, we offer custom genotyping solutions. By submitting your unique SNP list, wecan rapidly develop tailored, cost-effective liquid-phase panels to meet your unique breeding requirements.


    Genotyping by Targeted Sequencing (GBTS) Panels - Ready to use

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    • Product Highlight

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    Enriched polymorphism selection and a broad spectrum of variation

    Our panels provide comprehensive coverage of diverse genetic variations across germplasm resources. The markers were selected from resequencing data and cover a wide varieties of wheat accessions (wild, land race or cultivated) in all regions of the globe (spring and winter wheat regions).

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    Various density designed for different applications

    Our ready-to-use wheat GBTS panels are designed with various, flexibly adjustable marker densities, from high to low, to cater to your diverse application scenarios, truly optimizing time and cost. We offer flexible marker number adjustment and upgrade services, ensuring your research remains at the forefront.

    • Application

    For Discovery Service

    Genetic map construction

    QTL analysis

    Genome-wide association study

    For Breeding Service

    Germplasm characterization

    Molecular marker-assisted selection

    Genome-wide selection breeding

    Variety protection, Varietiy authentication

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    • Report Visualization

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    This high-density panel contains more than 40,000 marker regions and high-quality SNPs, suitable for most wheat breeding programs and mapping applications.

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    The SNPs were selected from 20 sequenced pan-genomes and 1,520 germplasm data collected worldwide. Through validation and optimization, Molbreeding designed 14,868 mSNP (multiple single-nucleotide-polymorphism cluster) capture regions (total 37,669 SNPs markers) into one liquid chip.

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    The GenoBaits® Wheat Exome Capture Kit is based on the newest wheat reference genome: IWGSC RefSeq V2.1. Total 1.7M probes were designed to fit into this exome capture kit, which cover 132.83 Mbps wheat CDS regions.

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    The GenoBaits® Wheat Exome Capture Kit is based on the newest wheat reference genome: IWGSC RefSeq V2.1. Total 1.7M probes were designed to fit into this exome capture kit, which cover 132.83 Mbps wheat CDS regions.

    • Application Example

     

    200 Yaco'S'/Mingxian 169 RIL7 family materials were detected and genotyped by GenoBaits® Wheat 16K Panel, and a total of 14,868 markers were obtained, and 4,883 markers with differences between parents were selected to construct genetic maps, using QTL IciMapping 4.2, combined with the phenotypic traits and genetic map information from the four environments, two stable QTLs were mapped on 2BS and 3BS, respectively.

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    1. Hou J, Liu Y, Hao C, et al. Starch Metabolism in Wheat: Gene Variation and Association Analysis Reveal Additive Effects on Kernel Weight. Front Plant Sci. 2020;11:562008. DOI: 10.3389/fpls.2020.562008
    2. Shaukat M, Sun M, Ali M, et al. Genetic Gain for Grain Micronutrients and Their Association with Phenology in Historical Wheat Cultivars Released between 1911 and 2016 in Pakistan. Agronomy. 2021; 11(6):1247. https://doi.org/10.3390/agronomy11061247
    3. Guo H, Du Q, Xie Y, et al. Identification of Rice Blast Loss-of-Function Mutant Alleles in the Wheat Genome as a New Strategy for Wheat Blast Resistance Breeding. Front Genet. 2021;12:623419. https://doi.org/10.3389/fgene.2021.623419
    4. Qiu D, Huang J, Guo G, et al. The Pm5e Gene Has No Negative Effect on Wheat Agronomic Performance: Evidence From Newly Established Near-Isogenic Lines. Front Plant Sci. 2022;13:918559. 10.3389/fpls.2022.918559
    5. Qiao L, Li H, Wang J, et al. Analysis of Genetic Regions Related to Field Grain Number per Spike From Chinese Wheat Founder Parent Linfen 5064. Front Plant Sci. 2022;12:808136. Published 2022 Jan 5.https://doi.org/10.3389/fpls.2021.808136
    6. Zheng X, Qiao L, Liu Y, et al. Genome-Wide Association Study of Grain Number in Common Wheat From Shanxi Under Different Water Regimes. Front Plant Sci. 2022;12:806295. DOI: 10.3389/fpls.2021.806295
    7. Huang S, Zhang Y, Ren H, et al. Epistatic interaction effect between chromosome 1BL (Yr29) and a novel locus on 2AL facilitating resistance to stripe rust in Chinese wheat Changwu 357-9. Theor Appl Genet. 2022;135(7):2501-2513. https://doi.org/10.1007/s00122-022-04133-9
    8. Wang J, Yang C, Zhao W, et al. Genome-wide association study of grain hardness and novel Puroindoline alleles in common wheat. Mol Breed. 2022;42(7):40. https://doi.org/10.1007/s11032-022-01303-x
    9. Zhou C, Xiong H, Fu M, et al. Genetic mapping and identification of Rht8-B1 that regulates plant height in wheat. BMC Plant Biol. 2023;23(1):333. https://doi.org/10.1186/s12870-023-04343-3
    10. Li JC, Li JJ, Zhao L, et al. Rapid identification of Psathyrostachys huashanica Keng chromosomes in wheat background based on ND-FISH and SNP array methods. J Integr Agric. 2023;22(10):2934-48. https://doi.org/10.1016/j.jia.2023.02.001
    11. Li J, Zhao L, Lü B, et al. Development and characterization of a novel common wheat–Mexico Rye T1DL·1RS translocation line with stripe rust and powdery mildew resistance. J Integr Agric. https://doi.org/10.1016/j.jia.2022.08.0392023;22(5):1291-1307.
    12. Xiang M, Liu S, Wang X, et al. Development of breeder chip for gene detection and molecular-assisted selection by target sequencing in wheat. Mol Breed. 2023;43(2):13. DOI: 10.1007/s11032-023-01359-3
    13. Xiong H, Guo H, Fu M, et al. A large-scale whole-exome sequencing mutant resource for functional genomics in wheat. Plant Biotechnol J. 2023;21(10):2047-2056. https://doi.org/10.1111/pbi.14111
    14. Hu J, Gebremariam TG, Zhang P, et al. Resistance to Powdery Mildew Is Conferred by Different Genetic Loci at the Adult-Plant and Seedling Stages in Winter Wheat Line Tianmin 668. Plant Dis. 2023;107(7):2133-2143. DOI: 10.1094/PDIS-11-22-2633-RE
    15. Niu F, Liu Z, Zhang F, et al. Identification and validation of major-effect quantitative trait locus QMS-5B associated with male sterility in photo-thermo-sensitive genic male sterile wheat. Theor Appl Genet. 2023;136(12):257. https://doi.org/10.1007/s00122-023-04500-0
    16. Zhou J, Li W, Yang Y, et al. A promising QTL QSns.sau-MC-3D.1 likely superior to WAPO1 for the number of spikelets per spike of wheat shows no adverse effects on yield-related traits. Theor Appl Genet. 2023;136(9):181. DOI: 10.1007/s00122-023-04429-4
    17. Zhao R, Liu B, Wan W, et al. Mapping and characterization of a novel adult-plant leaf rust resistance gene LrYang16G216 via bulked segregant analysis and conventional linkage method [published correction appears in Theor Appl Genet. 2023 Mar 23;136(4):84. https://doi.org/10.1007/s00122-023-04270-9
    18. Qiu Y, Han Z, Liu N, et al. Effects of Aegilops longissima chromosome 1Sl on wheat bread-making quality in two types of translocation lines. Theor Appl Genet. 2024;137(2) https://doi.org/10.1007/s00122-023-04504-w
    19. Xu X, Su Y, Yang J, et al. A novel QTL conferring Fusarium crown rot resistance on chromosome 2A in a wheat EMS mutant. Theor Appl Genet. 2024;137(2):49. https://doi.org/10.1007/s00122-024-04557-5
    20. Li Y, Hu J, Lin H, et al. Mapping QTLs for adult-plant resistance to powdery mildew and stripe rust using a recombinant inbred line population derived from cross Qingxinmai × 041133. Front Plant Sci. 2024;15:1397274. https://doi.org/10.3389/fpls.2024.1397274
    21. Ren H, Zhang X, Zhang Y, et al. Identification of Two Novel QTL for Fusarium Head Blight Resistance in German Wheat Cultivar Centrum. Plant Dis. 2024;108(8):2462-2471. DOI: 10.1094/PDIS-01-24-0135-RE
    22. Liu S, Xiang M, Wang X, et al. Development and application of the GenoBaits WheatSNP16K array to accelerate wheat genetic research and breeding. Plant Commun. 2025;6(1):101138. doi:10.1016/j.xplc.2024.101138
    23. Li Y, Hu J, Lin H, et al. Mapping QTLs for adult-plant resistance to powdery mildew and stripe rust using a recombinant inbred line population derived from cross Qingxinmai × 041133. Front Plant Sci. 2024;15:1397274.

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