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De novo sequencing of sunflower genome for SNP discovery using RAD (Restriction site Associated DNA) approach

BACKGROUND: Application of Single Nucleotide Polymorphism (SNP) marker technology as a tool in sunflower breeding programs offers enormous potential to improve sunflower genetics, and facilitate faster release of sunflower hybrids to the market place. Through a National Sunflower Association (NSA) f...

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Autores principales: Pegadaraju, Venkatramana, Nipper, Rick, Hulke, Brent, Qi, Lili, Schultz, Quentin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765701/
https://www.ncbi.nlm.nih.gov/pubmed/23947483
http://dx.doi.org/10.1186/1471-2164-14-556
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author Pegadaraju, Venkatramana
Nipper, Rick
Hulke, Brent
Qi, Lili
Schultz, Quentin
author_facet Pegadaraju, Venkatramana
Nipper, Rick
Hulke, Brent
Qi, Lili
Schultz, Quentin
author_sort Pegadaraju, Venkatramana
collection PubMed
description BACKGROUND: Application of Single Nucleotide Polymorphism (SNP) marker technology as a tool in sunflower breeding programs offers enormous potential to improve sunflower genetics, and facilitate faster release of sunflower hybrids to the market place. Through a National Sunflower Association (NSA) funded initiative, we report on the process of SNP discovery through reductive genome sequencing and local assembly of six diverse sunflower inbred lines that represent oil as well as confection types. RESULTS: A combination of Restriction site Associated DNA Sequencing (RAD-Seq) protocols and Illumina paired-end sequencing chemistry generated high quality 89.4 M paired end reads from the six lines which represent 5.3 GB of the sequencing data. Raw reads from the sunflower line, RHA 464 were assembled de novo to serve as a framework reference genome. About 15.2 Mb of sunflower genome distributed over 42,267 contigs were obtained upon assembly of RHA 464 sequencing data, the contig lengths ranged from 200 to 950 bp with an N(50) length of 393 bp. SNP calling was performed by aligning sequencing data from the six sunflower lines to the assembled reference RHA 464. On average, 1 SNP was located every 143 bp of the sunflower genome sequence. Based on several filtering criteria, a final set of 16,467 putative sequence variants with characteristics favorable for Illumina Infinium Genotyping Technology (IGT) were mined from the sequence data generated across six diverse sunflower lines. CONCLUSION: Here we report the molecular and computational methodology involved in SNP development for a complex genome like sunflower lacking reference assembly, offering an attractive tool for molecular breeding purposes in sunflower.
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spelling pubmed-37657012013-09-08 De novo sequencing of sunflower genome for SNP discovery using RAD (Restriction site Associated DNA) approach Pegadaraju, Venkatramana Nipper, Rick Hulke, Brent Qi, Lili Schultz, Quentin BMC Genomics Research Article BACKGROUND: Application of Single Nucleotide Polymorphism (SNP) marker technology as a tool in sunflower breeding programs offers enormous potential to improve sunflower genetics, and facilitate faster release of sunflower hybrids to the market place. Through a National Sunflower Association (NSA) funded initiative, we report on the process of SNP discovery through reductive genome sequencing and local assembly of six diverse sunflower inbred lines that represent oil as well as confection types. RESULTS: A combination of Restriction site Associated DNA Sequencing (RAD-Seq) protocols and Illumina paired-end sequencing chemistry generated high quality 89.4 M paired end reads from the six lines which represent 5.3 GB of the sequencing data. Raw reads from the sunflower line, RHA 464 were assembled de novo to serve as a framework reference genome. About 15.2 Mb of sunflower genome distributed over 42,267 contigs were obtained upon assembly of RHA 464 sequencing data, the contig lengths ranged from 200 to 950 bp with an N(50) length of 393 bp. SNP calling was performed by aligning sequencing data from the six sunflower lines to the assembled reference RHA 464. On average, 1 SNP was located every 143 bp of the sunflower genome sequence. Based on several filtering criteria, a final set of 16,467 putative sequence variants with characteristics favorable for Illumina Infinium Genotyping Technology (IGT) were mined from the sequence data generated across six diverse sunflower lines. CONCLUSION: Here we report the molecular and computational methodology involved in SNP development for a complex genome like sunflower lacking reference assembly, offering an attractive tool for molecular breeding purposes in sunflower. BioMed Central 2013-08-15 /pmc/articles/PMC3765701/ /pubmed/23947483 http://dx.doi.org/10.1186/1471-2164-14-556 Text en Copyright © 2013 Pegadaraju et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Pegadaraju, Venkatramana
Nipper, Rick
Hulke, Brent
Qi, Lili
Schultz, Quentin
De novo sequencing of sunflower genome for SNP discovery using RAD (Restriction site Associated DNA) approach
title De novo sequencing of sunflower genome for SNP discovery using RAD (Restriction site Associated DNA) approach
title_full De novo sequencing of sunflower genome for SNP discovery using RAD (Restriction site Associated DNA) approach
title_fullStr De novo sequencing of sunflower genome for SNP discovery using RAD (Restriction site Associated DNA) approach
title_full_unstemmed De novo sequencing of sunflower genome for SNP discovery using RAD (Restriction site Associated DNA) approach
title_short De novo sequencing of sunflower genome for SNP discovery using RAD (Restriction site Associated DNA) approach
title_sort de novo sequencing of sunflower genome for snp discovery using rad (restriction site associated dna) approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765701/
https://www.ncbi.nlm.nih.gov/pubmed/23947483
http://dx.doi.org/10.1186/1471-2164-14-556
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