Why the Maize 5K SNP Panel?
The panel comprises 5,000 genome-wide SNP markers strategically selected to provide comprehensive genome coverage and maximize utility across diverse breeding applications:
✔ Genomic Selection (GS)
✔ Genetic Diversity and Population Structure Analysis
✔ QTL Mapping and Trait Discovery
✔ Fingerprinting of Elite Germplasm
✔ Quality Control (QC) and Genetic Purity Assessment
✔ Background Genome Recovery in Marker-Assisted Breeding
✔ Germplasm Characterization and Management
Built on Global Maize Genomics Resources
The panel was developed using genomic data from more than 10,000 breeding lines and landraces representing tropical and subtropical maize breeding programs across Africa, Asia, Latin America, and Mexico. Germplasm included sources adapted to diverse production environments and targeted for resistance to major biotic and abiotic stresses.
The Maize 5K SNP Panel integrates genomic information from multiple high-quality platforms and resources, including Whole Genome Sequencing (WGS), Genotyping-by-Sequencing (GBS), DArTseq genotyping, Maize HapMap3, and Kompetitive Allele Specific PCR (KASP) markers. The panel provides comprehensive genome coverage through 5,000 genome-wide SNP markers distributed across all 10 maize chromosomes, with an average marker density of approximately one SNP per 0.42 Mb (Figure 1). In addition to genome-wide markers, the panel incorporates 70 validated QC KASP markers routinely used for parent-offspring verification, genetic purity assessment, F1 hybridity testing, and seed quality assurance, making it a robust platform for both genomics-assisted breeding and germplasm quality management. The panel captures two decades of maize genomics research by combining both trait-associated markers and strategically distributed genome-wide markers.
Validated for Genomic Prediction
Comparative evaluations against other widely used genotyping platforms, including DArTag and rAmpSeq, demonstrated comparable genomic prediction accuracies for grain yield and other key traits under both optimum and drought stress conditions. These results confirm that the LGC-Flex-Seq 5K SNP Panel provides a reliable, scalable, and cost-effective solution for genomic selection and modern breeding applications.
The LGC Flex-Seq 5K Panel is enabling breeders to: increase selection accuracy, shorten breeding cycles, improve genetic gain and enhance breeding efficiency across global maize improvement programs.
Acknowledgements
Development and optimization of the Maize 5K SNP Panel were supported through strategic investments from the Bill & Melinda Gates Foundation (BMGF), USAID, Foundation for Food & Agriculture Research (FFAR), and CIMMYT’s Excellence in Breeding (EiB) and Crops to End Hunger (CtEH) initiatives.
LGC Flex-Seq 5K SNP Panel – Delivering affordable, high-quality genomics solutions to accelerate maize breeding worldwide.
Figure 1. SNP density plot for 5000 SNPs in the current maize LGC_Flex-Seq panel
References
1. Bukowski R, Guo X, Lu Y, et al. (2018) Construction of the third-generation Zea mays haplotype map, Gigascience, 7(4):1-12. https://doi.org/10.1093/gigascience/gix134
2. Chen J, Zavala C, Ortega N, et al. (2016) The development of quality control genotyping approaches: a case study using elite maize lines, PLoS One, 11(6): e0157236. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0157236
3. Gowda M, Worku M, Nair, S.K, et al. (2017) Quality Assurance/ Quality Control (QA/QC) in maize breeding and seed production: theory and practice, http://hdl.handle.net/10883/19046
4. Semagn K, Babu R, Hearne S, et al. (2014) Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement, Molecular Breeding, 33: 1–14. https://doi.org/10.1007/s11032-013-9917-x
5. Wu Y, San Vicente F, Huang·K, et al. (2016) Molecular characterization of CIMMYT maize inbred lines with genotyping-by-sequencing SNPs, Theoretical and Applied Genetics, 129:753–765. https://doi.org/10.1007/s00122-016-2664-8
