Dataset Information

Development and implementation of high-throughput SNP genotyping in barley.

ABSTRACT:

Background

High density genetic maps of plants have, nearly without exception, made use of marker datasets containing missing or questionable genotype calls derived from a variety of genic and non-genic or anonymous markers, and been presented as a single linear order of genetic loci for each linkage group. The consequences of missing or erroneous data include falsely separated markers, expansion of cM distances and incorrect marker order. These imperfections are amplified in consensus maps and problematic when fine resolution is critical including comparative genome analyses and map-based cloning. Here we provide a new paradigm, a high-density consensus genetic map of barley based only on complete and error-free datasets and genic markers, represented accurately by graphs and approximately by a best-fit linear order, and supported by a readily available SNP genotyping resource.

Results

Approximately 22,000 SNPs were identified from barley ESTs and sequenced amplicons; 4,596 of them were tested for performance in three pilot phase Illumina GoldenGate assays. Data from three barley doubled haploid mapping populations supported the production of an initial consensus map. Over 200 germplasm selections, principally European and US breeding material, were used to estimate minor allele frequency (MAF) for each SNP. We selected 3,072 of these tested SNPs based on technical performance, map location, MAF and biological interest to fill two 1536-SNP "production" assays (BOPA1 and BOPA2), which were made available to the barley genetics community. Data were added using BOPA1 from a fourth mapping population to yield a consensus map containing 2,943 SNP loci in 975 marker bins covering a genetic distance of 1099 cM.

Conclusion

The unprecedented density of genic markers and marker bins enabled a high resolution comparison of the genomes of barley and rice. Low recombination in pericentric regions is evident from bins containing many more than the average number of markers, meaning that a large number of genes are recombinationally locked into the genetic centromeric regions of several barley chromosomes. Examination of US breeding germplasm illustrated the usefulness of BOPA1 and BOPA2 in that they provide excellent marker density and sensitivity for detection of minor alleles in this genetically narrow material.

SUBMITTER: Close TJ

PROVIDER: S-EPMC2797026 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature

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Publications

Development and implementation of high-throughput SNP genotyping in barley.

Close Timothy J TJ Bhat Prasanna R PR Lonardi Stefano S Wu Yonghui Y Rostoks Nils N Ramsay Luke L Druka Arnis A Stein Nils N Svensson Jan T JT Wanamaker Steve S Bozdag Serdar S Roose Mikeal L ML Moscou Matthew J MJ Chao Shiaoman S Varshney Rajeev K RK Szucs Péter P Sato Kazuhiro K Hayes Patrick M PM Matthews David E DE Kleinhofs Andris A Muehlbauer Gary J GJ DeYoung Joseph J Marshall David F DF Madishetty Kavitha K Fenton Raymond D RD Condamine Pascal P Graner Andreas A Waugh Robbie R

BMC genomics 20091204

<h4>Background</h4>High density genetic maps of plants have, nearly without exception, made use of marker datasets containing missing or questionable genotype calls derived from a variety of genic and non-genic or anonymous markers, and been presented as a single linear order of genetic loci for each linkage group. The consequences of missing or erroneous data include falsely separated markers, expansion of cM distances and incorrect marker order. These imperfections are amplified in consensus m ...[more]

PMID: 19961604

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Dataset Information

Development and implementation of high-throughput SNP genotyping in barley.

Background

Results

Conclusion

Publications

Development and implementation of high-throughput SNP genotyping in barley.

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