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Genomic DNA Enrichment Using Sequence Capture Microarrays: a Novel Approach to Discover Sequence Nucleotide Polymorphisms (SNP) in Brassica napus L

Targeted genomic selection methodologies, or sequence capture, allow for DNA enrichment and large-scale resequencing and characterization of natural genetic variation in species with complex genomes, such as rapeseed canola (Brassica napus L., AACC, 2n=38). The main goal of this project was to combi...

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Autores principales: Clarke, Wayne E., Parkin, Isobel A., Gajardo, Humberto A., Gerhardt, Daniel J., Higgins, Erin, Sidebottom, Christine, Sharpe, Andrew G., Snowdon, Rod J., Federico, Maria L., Iniguez-Luy, Federico L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849492/
https://www.ncbi.nlm.nih.gov/pubmed/24312619
http://dx.doi.org/10.1371/journal.pone.0081992
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author Clarke, Wayne E.
Parkin, Isobel A.
Gajardo, Humberto A.
Gerhardt, Daniel J.
Higgins, Erin
Sidebottom, Christine
Sharpe, Andrew G.
Snowdon, Rod J.
Federico, Maria L.
Iniguez-Luy, Federico L.
author_facet Clarke, Wayne E.
Parkin, Isobel A.
Gajardo, Humberto A.
Gerhardt, Daniel J.
Higgins, Erin
Sidebottom, Christine
Sharpe, Andrew G.
Snowdon, Rod J.
Federico, Maria L.
Iniguez-Luy, Federico L.
author_sort Clarke, Wayne E.
collection PubMed
description Targeted genomic selection methodologies, or sequence capture, allow for DNA enrichment and large-scale resequencing and characterization of natural genetic variation in species with complex genomes, such as rapeseed canola (Brassica napus L., AACC, 2n=38). The main goal of this project was to combine sequence capture with next generation sequencing (NGS) to discover single nucleotide polymorphisms (SNPs) in specific areas of the B. napus genome historically associated (via quantitative trait loci –QTL– analysis) to traits of agronomical and nutritional importance. A 2.1 million feature sequence capture platform was designed to interrogate DNA sequence variation across 47 specific genomic regions, representing 51.2 Mb of the Brassica A and C genomes, in ten diverse rapeseed genotypes. All ten genotypes were sequenced using the 454 Life Sciences chemistry and to assess the effect of increased sequence depth, two genotypes were also sequenced using Illumina HiSeq chemistry. As a result, 589,367 potentially useful SNPs were identified. Analysis of sequence coverage indicated a four-fold increased representation of target regions, with 57% of the filtered SNPs falling within these regions. Sixty percent of discovered SNPs corresponded to transitions while 40% were transversions. Interestingly, fifty eight percent of the SNPs were found in genic regions while 42% were found in intergenic regions. Further, a high percentage of genic SNPs was found in exons (65% and 64% for the A and C genomes, respectively). Two different genotyping assays were used to validate the discovered SNPs. Validation rates ranged from 61.5% to 84% of tested SNPs, underpinning the effectiveness of this SNP discovery approach. Most importantly, the discovered SNPs were associated with agronomically important regions of the B. napus genome generating a novel data resource for research and breeding this crop species.
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spelling pubmed-38494922013-12-05 Genomic DNA Enrichment Using Sequence Capture Microarrays: a Novel Approach to Discover Sequence Nucleotide Polymorphisms (SNP) in Brassica napus L Clarke, Wayne E. Parkin, Isobel A. Gajardo, Humberto A. Gerhardt, Daniel J. Higgins, Erin Sidebottom, Christine Sharpe, Andrew G. Snowdon, Rod J. Federico, Maria L. Iniguez-Luy, Federico L. PLoS One Research Article Targeted genomic selection methodologies, or sequence capture, allow for DNA enrichment and large-scale resequencing and characterization of natural genetic variation in species with complex genomes, such as rapeseed canola (Brassica napus L., AACC, 2n=38). The main goal of this project was to combine sequence capture with next generation sequencing (NGS) to discover single nucleotide polymorphisms (SNPs) in specific areas of the B. napus genome historically associated (via quantitative trait loci –QTL– analysis) to traits of agronomical and nutritional importance. A 2.1 million feature sequence capture platform was designed to interrogate DNA sequence variation across 47 specific genomic regions, representing 51.2 Mb of the Brassica A and C genomes, in ten diverse rapeseed genotypes. All ten genotypes were sequenced using the 454 Life Sciences chemistry and to assess the effect of increased sequence depth, two genotypes were also sequenced using Illumina HiSeq chemistry. As a result, 589,367 potentially useful SNPs were identified. Analysis of sequence coverage indicated a four-fold increased representation of target regions, with 57% of the filtered SNPs falling within these regions. Sixty percent of discovered SNPs corresponded to transitions while 40% were transversions. Interestingly, fifty eight percent of the SNPs were found in genic regions while 42% were found in intergenic regions. Further, a high percentage of genic SNPs was found in exons (65% and 64% for the A and C genomes, respectively). Two different genotyping assays were used to validate the discovered SNPs. Validation rates ranged from 61.5% to 84% of tested SNPs, underpinning the effectiveness of this SNP discovery approach. Most importantly, the discovered SNPs were associated with agronomically important regions of the B. napus genome generating a novel data resource for research and breeding this crop species. Public Library of Science 2013-12-03 /pmc/articles/PMC3849492/ /pubmed/24312619 http://dx.doi.org/10.1371/journal.pone.0081992 Text en © 2013 Clarke et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Clarke, Wayne E.
Parkin, Isobel A.
Gajardo, Humberto A.
Gerhardt, Daniel J.
Higgins, Erin
Sidebottom, Christine
Sharpe, Andrew G.
Snowdon, Rod J.
Federico, Maria L.
Iniguez-Luy, Federico L.
Genomic DNA Enrichment Using Sequence Capture Microarrays: a Novel Approach to Discover Sequence Nucleotide Polymorphisms (SNP) in Brassica napus L
title Genomic DNA Enrichment Using Sequence Capture Microarrays: a Novel Approach to Discover Sequence Nucleotide Polymorphisms (SNP) in Brassica napus L
title_full Genomic DNA Enrichment Using Sequence Capture Microarrays: a Novel Approach to Discover Sequence Nucleotide Polymorphisms (SNP) in Brassica napus L
title_fullStr Genomic DNA Enrichment Using Sequence Capture Microarrays: a Novel Approach to Discover Sequence Nucleotide Polymorphisms (SNP) in Brassica napus L
title_full_unstemmed Genomic DNA Enrichment Using Sequence Capture Microarrays: a Novel Approach to Discover Sequence Nucleotide Polymorphisms (SNP) in Brassica napus L
title_short Genomic DNA Enrichment Using Sequence Capture Microarrays: a Novel Approach to Discover Sequence Nucleotide Polymorphisms (SNP) in Brassica napus L
title_sort genomic dna enrichment using sequence capture microarrays: a novel approach to discover sequence nucleotide polymorphisms (snp) in brassica napus l
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849492/
https://www.ncbi.nlm.nih.gov/pubmed/24312619
http://dx.doi.org/10.1371/journal.pone.0081992
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