ArticleScientific reports2020
Applications of genotyping-by-sequencing (GBS) in maize genetics and breeding.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Who cites it
56 citing papers in PubMed, 117 citations in OpenAlex.
- Molecular dissection and functional characterization of the liguleless1 gene for manipulation of leaf angle in maize.Molecular genetics and genomics : MGG · 2026Article
- Hybrid origin and phenotype evolution of the modern maize.Journal of integrative plant biology · 2026Review
- Breed classification of Lao People's Democratic Republic (Lao PDR) and Thai native chickens using synchrotron radiation-based Fourier transform infrared spectroscopy and genotyping by sequencing.Poultry science · 2026Article
- A public mid-density genotyping platform for pecan [Carya illinoinensis (Wangenh.) K. Koch].The plant genome · 2026Article
- Genetic diversity of common beans (Frontiers in plant science · 2026Article
- Identification of phenological QTLs using a combination of high- and low-coverage whole genome sequencing in Japanese plum (Horticulture research · 2026Article
- Genome-Wide, High-Density Genotyping Approaches for Plant Germplasm Characterisation (Methods and Applications).International journal of molecular sciences · 2025Review
- A public mid-density genotyping platform for cultivated cranberry (Vaccinium macrocarpon Aiton).The plant genome · 2025Article
- Gene Mapping and Molecular Marker Development for Controlling Purple-Leaf Trait in Pakchoi (Genes · 2025Article
- Allelic Diversity and Development of Breeder-Friendly Marker Specific to floury2 Gene Regulating the Accumulation of α-Zeins and Essential Amino Acids in Maize Kernel.Biochemical genetics · 2025Article
- Next-generation translational genomics for developing future crops.Functional & integrative genomics · 2025Review
- Advances in Functional Genomics for Exploring Abiotic Stress Tolerance Mechanisms in Cereals.Plants (Basel, Switzerland) · 2025Review
- The draft genome of the Wisconsin Miniature SwineTM, a valuable biomedical research tool.G3 (Bethesda, Md.) · 2025Article
- Unveiling the heterosis pattern of modern maize breeding in Southwest China through population structure and genetic diversity analysis.BMC plant biology · 2025Article
- Genetic architecture and genomic prediction for yield, winter damage, and digestibility traits in timothy (Phleum pratense L.) using genotyping-by-sequencing data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Molecular delineation and haplotype analysis of domain membrane protein (DMP) gene influencing in-vivo haploid induction in maize.Scientific reports · 2025Article
- Population genetics and origin of horticultural germplasm inHorticulture research · 2025Article
- Review
- Genotyping by sequencing reveals the genetic diversity and population structure of Peruvian highland maize races.Frontiers in plant science · 2025Article
- Genetic diversity and population structure analysis of Forsythia ovata, a Korean endemic, based on genotyping-by-sequencing.PloS one · 2025Article
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Authors and funding
14 authors at 6 institutions in 4 countries.
Funding
Abstract
Genotyping-by-Sequencing (GBS) is a low-cost, high-throughput genotyping method that relies on restriction enzymes to reduce genome complexity. GBS is being widely used for various genetic and breeding applications. In the present study, 2240 individuals from eight maize populations, including two association populations (AM), backcross first generation (BC1), BC1F2, F2, double haploid (DH), intermated B73 × Mo17 (IBM), and a recombinant inbred line (RIL) population, were genotyped using GBS. A total of 955,120 of raw data for SNPs was obtained for each individual, with an average genotyping error of 0.70%. The rate of missing genotypic data for these SNPs was related to the level of multiplex sequencing: ~ 25% missing data for 96-plex and ~ 55% for 384-plex. Imputation can greatly reduce the rate of missing genotypes to 12.65% and 3.72% for AM populations and bi-parental populations, respectively, although it increases total genotyping error. For analysis of genetic diversity and linkage mapping, unimputed data with a low rate of genotyping error is beneficial, whereas, for association mapping, imputed data would result in higher marker density and would improve map resolution. Because imputation does not influence the prediction accuracy, both unimputed and imputed data can be used for genomic prediction. In summary, GBS is a versatile and efficient SNP discovery approach for homozygous materials and can be effectively applied for various purposes in maize genetics and breeding.
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