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- Services
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- GBTS Panel
- Software System
- Reagents
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- Services
- Product
- GBTS Panel
- Software System
- Reagents
- Instruments
- Media
- Resources
- …
- Services
- Product
- GBTS Panel
- Software System
- Reagents
- Instruments
- Media
- Resources

Maize
(Zea mays Linn.)
High-throughput genotyping technology is essential for identifying and developing superior maize varieties. Our Genotyping by Target Sequencing (GBTS) technology combines the benefits of array-based methods and high-throughput sequencing, offering unique advantages in customization, throughput, and costeffectiveness.
Utilizing this advanced GBTS technology, we have developed a comprehensive range of ready-to-use maize panels with varying marker densities. These panels are designed to accommodate a diverse array of sample types, including plant tissues and seeds.
In addition to our extensive portfolio of genotyping products, we offer bespoke services tailored to your specific needs. By providing your unique SNP list, we can swiftly design from low to high density, costeffective liquid-phase panels that align with your research or breeding objectives.
Elevate your breeding programs with our innovative maize panels, designed to support your pursuit of excellence in maize variety development.
Genotyping by Targeted Sequencing (GBTS) Panels - Ready to use*
*Reference
- GB/T 38570-2020. Determination for ingredients of genetically modified plants—Target sequencing methods. Beijing:Standardization Administration of China; 2020.
- Law M, Childs KL, Campbell MS, et al. Automated update, revision, and quality control of the maize genome annotations using MAKER-P improves the B73 Ref_v3 gene models and identifies new genes. Plant Physiol. 2015;167:25-39.
- Product Highlight
Broad selection of polymorphisms
The markers on these panels were selected from Hap-Map3 which is based on the whole genome sequencing of 1,218 major maize inbreds and improved worldwide cultivar accessions.
Various density designed for different applications
Adjunct SNPs are captured with the target SNPs and form multiple SNP clusters, which are essential for haplotype mapping and structure analysis. In the maize 45K SNP panel, Molbreeding designed total of 264,553 multiple SNP clusters, mSNPs. The Maize 10K panel has 53,705 mSNP and the 1K SNP has total 4,589 mSNP. Different application can select the appropriate marker density to minimize cost and analysis time.
- 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
- Report Visualization
GenoBaits® Maize 45K Panel
The markers on this panel were selected from Hap-Map3 which is based on the whole genome sequencing of 1,218 major maize inbreds and improved worldwide cultivar accessions.
GenoBaits® Maize 10K Panel
The10K SNP panel designed using a total of 53,705 multiple SNP capture sites, with a total of 11,535 target SNPs evenly distributed across the 10 maize chromosomes.
GenoBaits® Maize 1K Panel
This 1K Panel designed using a total of 4,589 multiple SNP capture sites, with a total of 1,354 target SNPs evenly distributed across the 10 maize chromosomes.
The duplicate samples consistency is all above 99.41%.
GenoBaits® Maize 1K plus Panel
Molbreeding has developed a panel for DH series screening, which includes 1354 SNPs evenly distributed on chromosomes, 104 transgenic elements. There are additional SNPs which might be associated with maize rot resistance.
- Publications
- Gao J, Wang S, Zhou Z, et al. Linkage mapping and genome-wide association reveal candidate genes conferring thermotolerance of seed-set in maize. J Exp Bot. 2019;70(18):4849-4864. DOI: 10.1093/jxb/erz171
- Guo Z, Wang H, Tao J, et al. Development of multiple SNP marker panels affordable to breeders through genotyping by target sequencing (GBTS) in maize. Mol Breeding. 2019;39(37). https://doi.org/10.1007/s11032-019-0940-4
- Liu HJ, Jian L, Xu J, et al. High-Throughput CRISPR/Cas9 Mutagenesis Streamlines Trait Gene Identification in Maize. Plant Cell. 2020;32(5):1397-1413. DOI: 10.1105/tpc.19.00934
- Wen J, Shen Y, Xing Y, et al. QTL Mapping of Fusarium Ear Rot Resistance in Maize. Plant Dis. 2021;105(3):558-565. DOI: 10.1094/PDIS-02-20-0411-RE
- Guo Z, Yang Q, Huang F, et al. Development of high-resolution multiple-SNP arrays for genetic analyses and molecular breeding through genotyping by target sequencing and liquid chip. Plant Commun. 2021;2(6):100230. DOI: 10.1016/j.xplc.2021.100230
- Han L, Jiang C, Zhang W, et al. Morphological Characterization and Transcriptome Analysis of New Dwarf and Narrow-Leaf (dnl2) Mutant in Maize. Int J Mol Sci. 2022;23(2):795. DOI: 10.3390/ijms23020795
- Zhang X, Wang M, Zhang C, et al. Genetic dissection of QTLs for starch content in four maize DH populations. Front Plant Sci. 2022;13:950664. DOI: 10.3389/fpls.2022.950664
- Huang J, Li Y, Ma Y, et al. The rhizospheric microbiome becomes more diverse with maize domestication and genetic improvement. J Integr Agric. 2022;4:1188-1202. https://doi.org/10.1016/S2095-3119(21)63633-X
- Liu R, Cui Y, Kong L, et al. Evaluating the Genetic Background Effect on Dissecting the Genetic Basis of Kernel Traits in Reciprocal Maize Introgression Lines. Genes (Basel). 2023;14(5):1044. DOI: 10.3390/genes14051044
- Gao J, Feng P, Zhang J, et al. Enhancing maize's nitrogen-fixing potential through ZmSBT3, a gene suppressing mucilage secretion. J Integr Plant Biol. 2023;65(12):2645-2659. DOI: 10.1111/jipb.13581
- Yu G, Cui Y, Jiao Y, et al. Comparison of sequencing-based and array-based genotyping platforms for genomic prediction of maize hybrid performance. Crop J. 2023;11(2):490-498. https://doi.org/10.1016/j.cj.2022.09.004
- Luo P, Wang H, Ni Z, et al. Genomic prediction of yield performance among single-cross maize hybrids using a partial diallel cross design. Crop J. 2023;11(6):1884-92. https://doi.org/10.1016/j.cj.2023.09.009
- Xu F, Liu S, Zhao A, et al. iFLAS: positive-unlabeled learning facilitates full-length transcriptome-based identification and functional exploration of alternatively spliced isoforms in maize. New Phytol. 2024;241(6):2606-2620. https://doi.org/10.1111/nph.19554
- Documents
Brochure
Marker List
Sample Preparation and Submission Guidelines
