Development and implementation of high-throughput SNP genotyping in barley

<p>Abstract</p> <p>Background</p> <p>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...

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Main Authors: Sato Kazuhiro, Szűcs Péter, Varshney Rajeev K, Chao Shiaoman, Moscou Matthew J, Roose Mikeal L, Bozdag Serdar, Wanamaker Steve, Svensson Jan T, Stein Nils, Druka Arnis, Ramsay Luke, Rostoks Nils, Wu Yonghui, Lonardi Stefano, Bhat Prasanna R, Close Timothy J, Hayes Patrick M, Matthews David E, Kleinhofs Andris, Muehlbauer Gary J, DeYoung Joseph, Marshall David F, Madishetty Kavitha, Fenton Raymond D, Condamine Pascal, Graner Andreas, Waugh Robbie
Format: Article
Language:English
Published: BMC 2009-12-01
Series:BMC Genomics
Online Access:http://www.biomedcentral.com/1471-2164/10/582
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spelling doaj-9635a08c838142b5a4bbf8f745684e842020-11-25T01:03:00ZengBMCBMC Genomics1471-21642009-12-0110158210.1186/1471-2164-10-582Development and implementation of high-throughput SNP genotyping in barleySato KazuhiroSzűcs PéterVarshney Rajeev KChao ShiaomanMoscou Matthew JRoose Mikeal LBozdag SerdarWanamaker SteveSvensson Jan TStein NilsDruka ArnisRamsay LukeRostoks NilsWu YonghuiLonardi StefanoBhat Prasanna RClose Timothy JHayes Patrick MMatthews David EKleinhofs AndrisMuehlbauer Gary JDeYoung JosephMarshall David FMadishetty KavithaFenton Raymond DCondamine PascalGraner AndreasWaugh Robbie<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p> http://www.biomedcentral.com/1471-2164/10/582
collection DOAJ
language English
format Article
sources DOAJ
author Sato Kazuhiro
Szűcs Péter
Varshney Rajeev K
Chao Shiaoman
Moscou Matthew J
Roose Mikeal L
Bozdag Serdar
Wanamaker Steve
Svensson Jan T
Stein Nils
Druka Arnis
Ramsay Luke
Rostoks Nils
Wu Yonghui
Lonardi Stefano
Bhat Prasanna R
Close Timothy J
Hayes Patrick M
Matthews David E
Kleinhofs Andris
Muehlbauer Gary J
DeYoung Joseph
Marshall David F
Madishetty Kavitha
Fenton Raymond D
Condamine Pascal
Graner Andreas
Waugh Robbie
spellingShingle Sato Kazuhiro
Szűcs Péter
Varshney Rajeev K
Chao Shiaoman
Moscou Matthew J
Roose Mikeal L
Bozdag Serdar
Wanamaker Steve
Svensson Jan T
Stein Nils
Druka Arnis
Ramsay Luke
Rostoks Nils
Wu Yonghui
Lonardi Stefano
Bhat Prasanna R
Close Timothy J
Hayes Patrick M
Matthews David E
Kleinhofs Andris
Muehlbauer Gary J
DeYoung Joseph
Marshall David F
Madishetty Kavitha
Fenton Raymond D
Condamine Pascal
Graner Andreas
Waugh Robbie
Development and implementation of high-throughput SNP genotyping in barley
BMC Genomics
author_facet Sato Kazuhiro
Szűcs Péter
Varshney Rajeev K
Chao Shiaoman
Moscou Matthew J
Roose Mikeal L
Bozdag Serdar
Wanamaker Steve
Svensson Jan T
Stein Nils
Druka Arnis
Ramsay Luke
Rostoks Nils
Wu Yonghui
Lonardi Stefano
Bhat Prasanna R
Close Timothy J
Hayes Patrick M
Matthews David E
Kleinhofs Andris
Muehlbauer Gary J
DeYoung Joseph
Marshall David F
Madishetty Kavitha
Fenton Raymond D
Condamine Pascal
Graner Andreas
Waugh Robbie
author_sort Sato Kazuhiro
title Development and implementation of high-throughput SNP genotyping in barley
title_short Development and implementation of high-throughput SNP genotyping in barley
title_full Development and implementation of high-throughput SNP genotyping in barley
title_fullStr Development and implementation of high-throughput SNP genotyping in barley
title_full_unstemmed Development and implementation of high-throughput SNP genotyping in barley
title_sort development and implementation of high-throughput snp genotyping in barley
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2009-12-01
description <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p>
url http://www.biomedcentral.com/1471-2164/10/582
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