A high density integrated genetic linkage map of soybean and the development of a 1536 universal soy linkage panel for quantitative trait locus mapping.
By David L. Hyten, I. Choi, Qijian Song, J. Specht, T. Carter,, Randy C. Shoemaker, E. Hwang, Lakshmi K. Matukumalli, Perry B. Cregan. 2010
274 citations recorded by the source corpus.
Single nucleotide polymorphisms (SNPs) are the marker of choice for many researchers due to their abundance and the high-throughput methods available for their multiplex analysis. Only recently have SNP markers been available to researchers in soybean [Glycine max (L.) Merr.] with the release of the third version of the consensus genetic linkage map that added 1141 SNP markers to the map. Our objectives were to add 2500 additional SNP markers to the soybean integrated map and select a set of 1536 SNPs to create a universal linkage panel for high-throughput soybean quantitative trait locus (QTL) mapping. The GoldenGate assay is one high-throughput analysis method capable of genotyping 1536 SNPs in 192 DNA samples over a 3-d period. We designed GoldenGate assays for 3456 SNPs (2956 new plus 500 previously mapped) which were used to screen three recombinant inbred line populations and diverse germplasm. A total of 3000 workable assays were obtained which added about 2500 new SNP markers to create a fourth version of the soybean integrated linkage map. To create a “Universal Soy Linkage Panel” (USLP 1.0) of 1536 SNP loci, SNPs were selected based on even distribution throughout each of the 20 consensus linkage groups and to have a broad range of allele frequencies in diverse germplasm. The 1536 USLP 1.0 will be able to quickly create a comprehensive genetic map in most QTL mapping populations and thus will serve as a useful tool for high-throughput QTL mapping.
View Paper: https://www.semanticscholar.org/paper/ec96c34ecf6d55bf37048eb67ac128e30da78aff
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- S. Mamidi
- Safiullah M. Pathan
- David L. Hyten
- Perry B. Cregan
- Shireen Chikara
- R. J. Goos
- K. Clark
- P. McClean
Citations in the corpus
- Genome Wide Association Mapping of Sclerotinia sclerotiorum Resistance in Soybean with a Genotyping‐by‐Sequencing Approach (2014, unknown): “…and an imprecise localization of the QTL, thus reducing their usefulness for marker-assisted selection (MAS). hree other GWAM studies have been conducted using the GoldenGate assay, a high-throughput analysis method capable of genotyping 1536 SNPs on sets of 96 samples (Hyten et al., 2008; 2010b).”
- Genome‐Wide Association Analysis Identifies Candidate Genes Associated with Iron Deficiency Chlorosis in Soybean (2011, methodology): “Here a genomewide discovery eff ort using the universal 1536 soybean Golden Gate single nucleotide polymorphism (SNP) set (Hyten et al., 2010) with two independent populations was undertaken.”
- Genetic Mapping and Confirmation of Quantitative Trait Loci for Seed Protein and Oil Contents and Seed Weight in Soybean (2013, methodology): “More than 700 polymorphic SNP markers of the USLP 1.0 array (Hyten et al., 2010) and 200 SSR markers were used to detect QTL for soybean seed protein and oil contents and seed weight.”