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Draft genome data of Prunus avium cv ‘Stella’

Prunus avium cv. ‘Stella’ total cellular DNA was isolated from emerging leaf tissue and sequenced using Roche 454 GS FLX Titanium, and Illumina HiSeq 2000 High Throughput Sequencing (HTS) technologies. Sequence data were filtered and trimmed to retain nucleotides corresponding to Phred score 30, and...

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Autores principales: Sharpe, Richard M., Killian, Benjamin, Koepke, Tyson, Ghogare, Rishikesh, Oraguzie, Nnadozie, Whiting, Matthew, Meisel, Lee A., Silva, Herman, Dhingra, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508403/
https://www.ncbi.nlm.nih.gov/pubmed/36164303
http://dx.doi.org/10.1016/j.dib.2022.108611
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author Sharpe, Richard M.
Killian, Benjamin
Koepke, Tyson
Ghogare, Rishikesh
Oraguzie, Nnadozie
Whiting, Matthew
Meisel, Lee A.
Silva, Herman
Dhingra, Amit
author_facet Sharpe, Richard M.
Killian, Benjamin
Koepke, Tyson
Ghogare, Rishikesh
Oraguzie, Nnadozie
Whiting, Matthew
Meisel, Lee A.
Silva, Herman
Dhingra, Amit
author_sort Sharpe, Richard M.
collection PubMed
description Prunus avium cv. ‘Stella’ total cellular DNA was isolated from emerging leaf tissue and sequenced using Roche 454 GS FLX Titanium, and Illumina HiSeq 2000 High Throughput Sequencing (HTS) technologies. Sequence data were filtered and trimmed to retain nucleotides corresponding to Phred score 30, and assembled with CLC Genomics Workbench v.6.0.1. A total of 107,531 contigs were assembled with 185 scaffolds with a maximum length of 132,753 nucleotides and an N(50) value of 4,601. The average depth of coverage was 135.87 nucleotides with a median depth of coverage equal to 31.50 nucleotides. The draft ‘Stella’ genome presented here covers 77.8% of the estimated 352.9Mb P. avium genome and is expected to facilitate genetics and genomics research focused on identifying genes and quantitative trait loci (QTL) underlying important agronomic and consumer traits.
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spelling pubmed-95084032022-09-25 Draft genome data of Prunus avium cv ‘Stella’ Sharpe, Richard M. Killian, Benjamin Koepke, Tyson Ghogare, Rishikesh Oraguzie, Nnadozie Whiting, Matthew Meisel, Lee A. Silva, Herman Dhingra, Amit Data Brief Data Article Prunus avium cv. ‘Stella’ total cellular DNA was isolated from emerging leaf tissue and sequenced using Roche 454 GS FLX Titanium, and Illumina HiSeq 2000 High Throughput Sequencing (HTS) technologies. Sequence data were filtered and trimmed to retain nucleotides corresponding to Phred score 30, and assembled with CLC Genomics Workbench v.6.0.1. A total of 107,531 contigs were assembled with 185 scaffolds with a maximum length of 132,753 nucleotides and an N(50) value of 4,601. The average depth of coverage was 135.87 nucleotides with a median depth of coverage equal to 31.50 nucleotides. The draft ‘Stella’ genome presented here covers 77.8% of the estimated 352.9Mb P. avium genome and is expected to facilitate genetics and genomics research focused on identifying genes and quantitative trait loci (QTL) underlying important agronomic and consumer traits. Elsevier 2022-09-17 /pmc/articles/PMC9508403/ /pubmed/36164303 http://dx.doi.org/10.1016/j.dib.2022.108611 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Sharpe, Richard M.
Killian, Benjamin
Koepke, Tyson
Ghogare, Rishikesh
Oraguzie, Nnadozie
Whiting, Matthew
Meisel, Lee A.
Silva, Herman
Dhingra, Amit
Draft genome data of Prunus avium cv ‘Stella’
title Draft genome data of Prunus avium cv ‘Stella’
title_full Draft genome data of Prunus avium cv ‘Stella’
title_fullStr Draft genome data of Prunus avium cv ‘Stella’
title_full_unstemmed Draft genome data of Prunus avium cv ‘Stella’
title_short Draft genome data of Prunus avium cv ‘Stella’
title_sort draft genome data of prunus avium cv ‘stella’
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508403/
https://www.ncbi.nlm.nih.gov/pubmed/36164303
http://dx.doi.org/10.1016/j.dib.2022.108611
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